amazonka-sagemaker-2.0: Amazon SageMaker Service SDK.
Copyright(c) 2013-2023 Brendan Hay
LicenseMozilla Public License, v. 2.0.
MaintainerBrendan Hay
Stabilityauto-generated
Portabilitynon-portable (GHC extensions)
Safe HaskellSafe-Inferred
LanguageHaskell2010

Amazonka.SageMaker.Types

Contents

Description

 
Synopsis

Service Configuration

defaultService :: Service Source #

API version 2017-07-24 of the Amazon SageMaker Service SDK configuration.

Errors

_ConflictException :: AsError a => Fold a ServiceError Source #

There was a conflict when you attempted to modify a SageMaker entity such as an Experiment or Artifact.

_ResourceInUse :: AsError a => Fold a ServiceError Source #

Resource being accessed is in use.

_ResourceLimitExceeded :: AsError a => Fold a ServiceError Source #

You have exceeded an SageMaker resource limit. For example, you might have too many training jobs created.

_ResourceNotFound :: AsError a => Fold a ServiceError Source #

Resource being access is not found.

ActionStatus

newtype ActionStatus Source #

Constructors

ActionStatus' 

Fields

Bundled Patterns

pattern ActionStatus_Completed :: ActionStatus 
pattern ActionStatus_Failed :: ActionStatus 
pattern ActionStatus_InProgress :: ActionStatus 
pattern ActionStatus_Stopped :: ActionStatus 
pattern ActionStatus_Stopping :: ActionStatus 
pattern ActionStatus_Unknown :: ActionStatus 

Instances

Instances details
FromJSON ActionStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ActionStatus

Methods

parseJSON :: Value -> Parser ActionStatus #

parseJSONList :: Value -> Parser [ActionStatus] #

FromJSONKey ActionStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ActionStatus

Methods

fromJSONKey :: FromJSONKeyFunction ActionStatus #

fromJSONKeyList :: FromJSONKeyFunction [ActionStatus] #

ToJSON ActionStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ActionStatus

Methods

toJSON :: ActionStatus -> Value #

toEncoding :: ActionStatus -> Encoding #

toJSONList :: [ActionStatus] -> Value #

toEncodingList :: [ActionStatus] -> Encoding #

ToJSONKey ActionStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ActionStatus

Methods

toJSONKey :: ToJSONKeyFunction ActionStatus #

toJSONKeyList :: ToJSONKeyFunction [ActionStatus] #

ToByteString ActionStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ActionStatus

Methods

toBS :: ActionStatus -> ByteString #

ToHeader ActionStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ActionStatus

Methods

toHeader :: HeaderName -> ActionStatus -> [Header] #

ToLog ActionStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ActionStatus

Methods

build :: ActionStatus -> ByteStringBuilder #

ToQuery ActionStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ActionStatus

Methods

toQuery :: ActionStatus -> QueryString #

FromText ActionStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ActionStatus

Methods

fromText :: Text -> Either String ActionStatus #

ToText ActionStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ActionStatus

Methods

toText :: ActionStatus -> Text #

FromXML ActionStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ActionStatus

Methods

parseXML :: [Node] -> Either String ActionStatus #

ToXML ActionStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ActionStatus

Methods

toXML :: ActionStatus -> XML #

Generic ActionStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ActionStatus

Associated Types

type Rep ActionStatus :: Type -> Type #

Methods

from :: ActionStatus -> Rep ActionStatus x #

to :: Rep ActionStatus x -> ActionStatus #

Read ActionStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ActionStatus

Methods

readsPrec :: Int -> ReadS ActionStatus #

readList :: ReadS [ActionStatus] #

readPrec :: ReadPrec ActionStatus #

readListPrec :: ReadPrec [ActionStatus] #

Show ActionStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ActionStatus

Methods

showsPrec :: Int -> ActionStatus -> ShowS #

show :: ActionStatus -> String #

showList :: [ActionStatus] -> ShowS #

NFData ActionStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ActionStatus

Methods

rnf :: ActionStatus -> () #

Eq ActionStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ActionStatus

Methods

(==) :: ActionStatus -> ActionStatus -> Bool #

(/=) :: ActionStatus -> ActionStatus -> Bool #

Ord ActionStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ActionStatus

Methods

compare :: ActionStatus -> ActionStatus -> Ordering #

(<) :: ActionStatus -> ActionStatus -> Bool #

(<=) :: ActionStatus -> ActionStatus -> Bool #

(>) :: ActionStatus -> ActionStatus -> Bool #

(>=) :: ActionStatus -> ActionStatus -> Bool #

max :: ActionStatus -> ActionStatus -> ActionStatus #

min :: ActionStatus -> ActionStatus -> ActionStatus #

Hashable ActionStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ActionStatus

Methods

hashWithSalt :: Int -> ActionStatus -> Int #

hash :: ActionStatus -> Int #

type Rep ActionStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ActionStatus

type Rep ActionStatus = D1 ('MetaData "ActionStatus" "Amazonka.SageMaker.Types.ActionStatus" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'True) (C1 ('MetaCons "ActionStatus'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromActionStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

AlgorithmSortBy

newtype AlgorithmSortBy Source #

Constructors

AlgorithmSortBy' 

Fields

Bundled Patterns

pattern AlgorithmSortBy_CreationTime :: AlgorithmSortBy 
pattern AlgorithmSortBy_Name :: AlgorithmSortBy 

Instances

Instances details
FromJSON AlgorithmSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AlgorithmSortBy

Methods

parseJSON :: Value -> Parser AlgorithmSortBy #

parseJSONList :: Value -> Parser [AlgorithmSortBy] #

FromJSONKey AlgorithmSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AlgorithmSortBy

Methods

fromJSONKey :: FromJSONKeyFunction AlgorithmSortBy #

fromJSONKeyList :: FromJSONKeyFunction [AlgorithmSortBy] #

ToJSON AlgorithmSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AlgorithmSortBy

Methods

toJSON :: AlgorithmSortBy -> Value #

toEncoding :: AlgorithmSortBy -> Encoding #

toJSONList :: [AlgorithmSortBy] -> Value #

toEncodingList :: [AlgorithmSortBy] -> Encoding #

ToJSONKey AlgorithmSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AlgorithmSortBy

Methods

toJSONKey :: ToJSONKeyFunction AlgorithmSortBy #

toJSONKeyList :: ToJSONKeyFunction [AlgorithmSortBy] #

ToByteString AlgorithmSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AlgorithmSortBy

Methods

toBS :: AlgorithmSortBy -> ByteString #

ToHeader AlgorithmSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AlgorithmSortBy

Methods

toHeader :: HeaderName -> AlgorithmSortBy -> [Header] #

ToLog AlgorithmSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AlgorithmSortBy

Methods

build :: AlgorithmSortBy -> ByteStringBuilder #

ToQuery AlgorithmSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AlgorithmSortBy

Methods

toQuery :: AlgorithmSortBy -> QueryString #

FromText AlgorithmSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AlgorithmSortBy

Methods

fromText :: Text -> Either String AlgorithmSortBy #

ToText AlgorithmSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AlgorithmSortBy

Methods

toText :: AlgorithmSortBy -> Text #

FromXML AlgorithmSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AlgorithmSortBy

Methods

parseXML :: [Node] -> Either String AlgorithmSortBy #

ToXML AlgorithmSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AlgorithmSortBy

Methods

toXML :: AlgorithmSortBy -> XML #

Generic AlgorithmSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AlgorithmSortBy

Associated Types

type Rep AlgorithmSortBy :: Type -> Type #

Methods

from :: AlgorithmSortBy -> Rep AlgorithmSortBy x #

to :: Rep AlgorithmSortBy x -> AlgorithmSortBy #

Read AlgorithmSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AlgorithmSortBy

Methods

readsPrec :: Int -> ReadS AlgorithmSortBy #

readList :: ReadS [AlgorithmSortBy] #

readPrec :: ReadPrec AlgorithmSortBy #

readListPrec :: ReadPrec [AlgorithmSortBy] #

Show AlgorithmSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AlgorithmSortBy

Methods

showsPrec :: Int -> AlgorithmSortBy -> ShowS #

show :: AlgorithmSortBy -> String #

showList :: [AlgorithmSortBy] -> ShowS #

NFData AlgorithmSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AlgorithmSortBy

Methods

rnf :: AlgorithmSortBy -> () #

Eq AlgorithmSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AlgorithmSortBy

Methods

(==) :: AlgorithmSortBy -> AlgorithmSortBy -> Bool #

(/=) :: AlgorithmSortBy -> AlgorithmSortBy -> Bool #

Ord AlgorithmSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AlgorithmSortBy

Methods

compare :: AlgorithmSortBy -> AlgorithmSortBy -> Ordering #

(<) :: AlgorithmSortBy -> AlgorithmSortBy -> Bool #

(<=) :: AlgorithmSortBy -> AlgorithmSortBy -> Bool #

(>) :: AlgorithmSortBy -> AlgorithmSortBy -> Bool #

(>=) :: AlgorithmSortBy -> AlgorithmSortBy -> Bool #

max :: AlgorithmSortBy -> AlgorithmSortBy -> AlgorithmSortBy #

min :: AlgorithmSortBy -> AlgorithmSortBy -> AlgorithmSortBy #

Hashable AlgorithmSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AlgorithmSortBy

Methods

hashWithSalt :: Int -> AlgorithmSortBy -> Int #

hash :: AlgorithmSortBy -> Int #

type Rep AlgorithmSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AlgorithmSortBy

type Rep AlgorithmSortBy = D1 ('MetaData "AlgorithmSortBy" "Amazonka.SageMaker.Types.AlgorithmSortBy" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'True) (C1 ('MetaCons "AlgorithmSortBy'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromAlgorithmSortBy") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

AlgorithmStatus

newtype AlgorithmStatus Source #

Constructors

AlgorithmStatus' 

Fields

Bundled Patterns

pattern AlgorithmStatus_Completed :: AlgorithmStatus 
pattern AlgorithmStatus_Deleting :: AlgorithmStatus 
pattern AlgorithmStatus_Failed :: AlgorithmStatus 
pattern AlgorithmStatus_InProgress :: AlgorithmStatus 
pattern AlgorithmStatus_Pending :: AlgorithmStatus 

Instances

Instances details
FromJSON AlgorithmStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AlgorithmStatus

Methods

parseJSON :: Value -> Parser AlgorithmStatus #

parseJSONList :: Value -> Parser [AlgorithmStatus] #

FromJSONKey AlgorithmStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AlgorithmStatus

Methods

fromJSONKey :: FromJSONKeyFunction AlgorithmStatus #

fromJSONKeyList :: FromJSONKeyFunction [AlgorithmStatus] #

ToJSON AlgorithmStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AlgorithmStatus

Methods

toJSON :: AlgorithmStatus -> Value #

toEncoding :: AlgorithmStatus -> Encoding #

toJSONList :: [AlgorithmStatus] -> Value #

toEncodingList :: [AlgorithmStatus] -> Encoding #

ToJSONKey AlgorithmStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AlgorithmStatus

Methods

toJSONKey :: ToJSONKeyFunction AlgorithmStatus #

toJSONKeyList :: ToJSONKeyFunction [AlgorithmStatus] #

ToByteString AlgorithmStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AlgorithmStatus

Methods

toBS :: AlgorithmStatus -> ByteString #

ToHeader AlgorithmStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AlgorithmStatus

Methods

toHeader :: HeaderName -> AlgorithmStatus -> [Header] #

ToLog AlgorithmStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AlgorithmStatus

Methods

build :: AlgorithmStatus -> ByteStringBuilder #

ToQuery AlgorithmStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AlgorithmStatus

Methods

toQuery :: AlgorithmStatus -> QueryString #

FromText AlgorithmStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AlgorithmStatus

Methods

fromText :: Text -> Either String AlgorithmStatus #

ToText AlgorithmStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AlgorithmStatus

Methods

toText :: AlgorithmStatus -> Text #

FromXML AlgorithmStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AlgorithmStatus

Methods

parseXML :: [Node] -> Either String AlgorithmStatus #

ToXML AlgorithmStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AlgorithmStatus

Methods

toXML :: AlgorithmStatus -> XML #

Generic AlgorithmStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AlgorithmStatus

Associated Types

type Rep AlgorithmStatus :: Type -> Type #

Methods

from :: AlgorithmStatus -> Rep AlgorithmStatus x #

to :: Rep AlgorithmStatus x -> AlgorithmStatus #

Read AlgorithmStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AlgorithmStatus

Methods

readsPrec :: Int -> ReadS AlgorithmStatus #

readList :: ReadS [AlgorithmStatus] #

readPrec :: ReadPrec AlgorithmStatus #

readListPrec :: ReadPrec [AlgorithmStatus] #

Show AlgorithmStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AlgorithmStatus

Methods

showsPrec :: Int -> AlgorithmStatus -> ShowS #

show :: AlgorithmStatus -> String #

showList :: [AlgorithmStatus] -> ShowS #

NFData AlgorithmStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AlgorithmStatus

Methods

rnf :: AlgorithmStatus -> () #

Eq AlgorithmStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AlgorithmStatus

Methods

(==) :: AlgorithmStatus -> AlgorithmStatus -> Bool #

(/=) :: AlgorithmStatus -> AlgorithmStatus -> Bool #

Ord AlgorithmStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AlgorithmStatus

Methods

compare :: AlgorithmStatus -> AlgorithmStatus -> Ordering #

(<) :: AlgorithmStatus -> AlgorithmStatus -> Bool #

(<=) :: AlgorithmStatus -> AlgorithmStatus -> Bool #

(>) :: AlgorithmStatus -> AlgorithmStatus -> Bool #

(>=) :: AlgorithmStatus -> AlgorithmStatus -> Bool #

max :: AlgorithmStatus -> AlgorithmStatus -> AlgorithmStatus #

min :: AlgorithmStatus -> AlgorithmStatus -> AlgorithmStatus #

Hashable AlgorithmStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AlgorithmStatus

Methods

hashWithSalt :: Int -> AlgorithmStatus -> Int #

hash :: AlgorithmStatus -> Int #

type Rep AlgorithmStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AlgorithmStatus

type Rep AlgorithmStatus = D1 ('MetaData "AlgorithmStatus" "Amazonka.SageMaker.Types.AlgorithmStatus" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'True) (C1 ('MetaCons "AlgorithmStatus'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromAlgorithmStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

AppImageConfigSortKey

newtype AppImageConfigSortKey Source #

Constructors

AppImageConfigSortKey' 

Fields

Bundled Patterns

pattern AppImageConfigSortKey_CreationTime :: AppImageConfigSortKey 
pattern AppImageConfigSortKey_LastModifiedTime :: AppImageConfigSortKey 
pattern AppImageConfigSortKey_Name :: AppImageConfigSortKey 

Instances

Instances details
FromJSON AppImageConfigSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AppImageConfigSortKey

Methods

parseJSON :: Value -> Parser AppImageConfigSortKey #

parseJSONList :: Value -> Parser [AppImageConfigSortKey] #

FromJSONKey AppImageConfigSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AppImageConfigSortKey

Methods

fromJSONKey :: FromJSONKeyFunction AppImageConfigSortKey #

fromJSONKeyList :: FromJSONKeyFunction [AppImageConfigSortKey] #

ToJSON AppImageConfigSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AppImageConfigSortKey

Methods

toJSON :: AppImageConfigSortKey -> Value #

toEncoding :: AppImageConfigSortKey -> Encoding #

toJSONList :: [AppImageConfigSortKey] -> Value #

toEncodingList :: [AppImageConfigSortKey] -> Encoding #

ToJSONKey AppImageConfigSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AppImageConfigSortKey

Methods

toJSONKey :: ToJSONKeyFunction AppImageConfigSortKey #

toJSONKeyList :: ToJSONKeyFunction [AppImageConfigSortKey] #

ToByteString AppImageConfigSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AppImageConfigSortKey

Methods

toBS :: AppImageConfigSortKey -> ByteString #

ToHeader AppImageConfigSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AppImageConfigSortKey

Methods

toHeader :: HeaderName -> AppImageConfigSortKey -> [Header] #

ToLog AppImageConfigSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AppImageConfigSortKey

Methods

build :: AppImageConfigSortKey -> ByteStringBuilder #

ToQuery AppImageConfigSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AppImageConfigSortKey

Methods

toQuery :: AppImageConfigSortKey -> QueryString #

FromText AppImageConfigSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AppImageConfigSortKey

Methods

fromText :: Text -> Either String AppImageConfigSortKey #

ToText AppImageConfigSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AppImageConfigSortKey

Methods

toText :: AppImageConfigSortKey -> Text #

FromXML AppImageConfigSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AppImageConfigSortKey

Methods

parseXML :: [Node] -> Either String AppImageConfigSortKey #

ToXML AppImageConfigSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AppImageConfigSortKey

Methods

toXML :: AppImageConfigSortKey -> XML #

Generic AppImageConfigSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AppImageConfigSortKey

Associated Types

type Rep AppImageConfigSortKey :: Type -> Type #

Methods

from :: AppImageConfigSortKey -> Rep AppImageConfigSortKey x #

to :: Rep AppImageConfigSortKey x -> AppImageConfigSortKey #

Read AppImageConfigSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AppImageConfigSortKey

Methods

readsPrec :: Int -> ReadS AppImageConfigSortKey #

readList :: ReadS [AppImageConfigSortKey] #

readPrec :: ReadPrec AppImageConfigSortKey #

readListPrec :: ReadPrec [AppImageConfigSortKey] #

Show AppImageConfigSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AppImageConfigSortKey

Methods

showsPrec :: Int -> AppImageConfigSortKey -> ShowS #

show :: AppImageConfigSortKey -> String #

showList :: [AppImageConfigSortKey] -> ShowS #

NFData AppImageConfigSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AppImageConfigSortKey

Methods

rnf :: AppImageConfigSortKey -> () #

Eq AppImageConfigSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AppImageConfigSortKey

Methods

(==) :: AppImageConfigSortKey -> AppImageConfigSortKey -> Bool #

(/=) :: AppImageConfigSortKey -> AppImageConfigSortKey -> Bool #

Ord AppImageConfigSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AppImageConfigSortKey

Methods

compare :: AppImageConfigSortKey -> AppImageConfigSortKey -> Ordering #

(<) :: AppImageConfigSortKey -> AppImageConfigSortKey -> Bool #

(<=) :: AppImageConfigSortKey -> AppImageConfigSortKey -> Bool #

(>) :: AppImageConfigSortKey -> AppImageConfigSortKey -> Bool #

(>=) :: AppImageConfigSortKey -> AppImageConfigSortKey -> Bool #

max :: AppImageConfigSortKey -> AppImageConfigSortKey -> AppImageConfigSortKey #

min :: AppImageConfigSortKey -> AppImageConfigSortKey -> AppImageConfigSortKey #

Hashable AppImageConfigSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AppImageConfigSortKey

Methods

hashWithSalt :: Int -> AppImageConfigSortKey -> Int #

hash :: AppImageConfigSortKey -> Int #

type Rep AppImageConfigSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AppImageConfigSortKey

type Rep AppImageConfigSortKey = D1 ('MetaData "AppImageConfigSortKey" "Amazonka.SageMaker.Types.AppImageConfigSortKey" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'True) (C1 ('MetaCons "AppImageConfigSortKey'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromAppImageConfigSortKey") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

AppInstanceType

newtype AppInstanceType Source #

Constructors

AppInstanceType' 

Fields

Bundled Patterns

pattern AppInstanceType_Ml_c5_12xlarge :: AppInstanceType 
pattern AppInstanceType_Ml_c5_18xlarge :: AppInstanceType 
pattern AppInstanceType_Ml_c5_24xlarge :: AppInstanceType 
pattern AppInstanceType_Ml_c5_2xlarge :: AppInstanceType 
pattern AppInstanceType_Ml_c5_4xlarge :: AppInstanceType 
pattern AppInstanceType_Ml_c5_9xlarge :: AppInstanceType 
pattern AppInstanceType_Ml_c5_large :: AppInstanceType 
pattern AppInstanceType_Ml_c5_xlarge :: AppInstanceType 
pattern AppInstanceType_Ml_g4dn_12xlarge :: AppInstanceType 
pattern AppInstanceType_Ml_g4dn_16xlarge :: AppInstanceType 
pattern AppInstanceType_Ml_g4dn_2xlarge :: AppInstanceType 
pattern AppInstanceType_Ml_g4dn_4xlarge :: AppInstanceType 
pattern AppInstanceType_Ml_g4dn_8xlarge :: AppInstanceType 
pattern AppInstanceType_Ml_g4dn_xlarge :: AppInstanceType 
pattern AppInstanceType_Ml_g5_12xlarge :: AppInstanceType 
pattern AppInstanceType_Ml_g5_16xlarge :: AppInstanceType 
pattern AppInstanceType_Ml_g5_24xlarge :: AppInstanceType 
pattern AppInstanceType_Ml_g5_2xlarge :: AppInstanceType 
pattern AppInstanceType_Ml_g5_48xlarge :: AppInstanceType 
pattern AppInstanceType_Ml_g5_4xlarge :: AppInstanceType 
pattern AppInstanceType_Ml_g5_8xlarge :: AppInstanceType 
pattern AppInstanceType_Ml_g5_xlarge :: AppInstanceType 
pattern AppInstanceType_Ml_m5_12xlarge :: AppInstanceType 
pattern AppInstanceType_Ml_m5_16xlarge :: AppInstanceType 
pattern AppInstanceType_Ml_m5_24xlarge :: AppInstanceType 
pattern AppInstanceType_Ml_m5_2xlarge :: AppInstanceType 
pattern AppInstanceType_Ml_m5_4xlarge :: AppInstanceType 
pattern AppInstanceType_Ml_m5_8xlarge :: AppInstanceType 
pattern AppInstanceType_Ml_m5_large :: AppInstanceType 
pattern AppInstanceType_Ml_m5_xlarge :: AppInstanceType 
pattern AppInstanceType_Ml_m5d_12xlarge :: AppInstanceType 
pattern AppInstanceType_Ml_m5d_16xlarge :: AppInstanceType 
pattern AppInstanceType_Ml_m5d_24xlarge :: AppInstanceType 
pattern AppInstanceType_Ml_m5d_2xlarge :: AppInstanceType 
pattern AppInstanceType_Ml_m5d_4xlarge :: AppInstanceType 
pattern AppInstanceType_Ml_m5d_8xlarge :: AppInstanceType 
pattern AppInstanceType_Ml_m5d_large :: AppInstanceType 
pattern AppInstanceType_Ml_m5d_xlarge :: AppInstanceType 
pattern AppInstanceType_Ml_p3_16xlarge :: AppInstanceType 
pattern AppInstanceType_Ml_p3_2xlarge :: AppInstanceType 
pattern AppInstanceType_Ml_p3_8xlarge :: AppInstanceType 
pattern AppInstanceType_Ml_p3dn_24xlarge :: AppInstanceType 
pattern AppInstanceType_Ml_r5_12xlarge :: AppInstanceType 
pattern AppInstanceType_Ml_r5_16xlarge :: AppInstanceType 
pattern AppInstanceType_Ml_r5_24xlarge :: AppInstanceType 
pattern AppInstanceType_Ml_r5_2xlarge :: AppInstanceType 
pattern AppInstanceType_Ml_r5_4xlarge :: AppInstanceType 
pattern AppInstanceType_Ml_r5_8xlarge :: AppInstanceType 
pattern AppInstanceType_Ml_r5_large :: AppInstanceType 
pattern AppInstanceType_Ml_r5_xlarge :: AppInstanceType 
pattern AppInstanceType_Ml_t3_2xlarge :: AppInstanceType 
pattern AppInstanceType_Ml_t3_large :: AppInstanceType 
pattern AppInstanceType_Ml_t3_medium :: AppInstanceType 
pattern AppInstanceType_Ml_t3_micro :: AppInstanceType 
pattern AppInstanceType_Ml_t3_small :: AppInstanceType 
pattern AppInstanceType_Ml_t3_xlarge :: AppInstanceType 
pattern AppInstanceType_System :: AppInstanceType 

Instances

Instances details
FromJSON AppInstanceType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AppInstanceType

Methods

parseJSON :: Value -> Parser AppInstanceType #

parseJSONList :: Value -> Parser [AppInstanceType] #

FromJSONKey AppInstanceType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AppInstanceType

Methods

fromJSONKey :: FromJSONKeyFunction AppInstanceType #

fromJSONKeyList :: FromJSONKeyFunction [AppInstanceType] #

ToJSON AppInstanceType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AppInstanceType

Methods

toJSON :: AppInstanceType -> Value #

toEncoding :: AppInstanceType -> Encoding #

toJSONList :: [AppInstanceType] -> Value #

toEncodingList :: [AppInstanceType] -> Encoding #

ToJSONKey AppInstanceType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AppInstanceType

Methods

toJSONKey :: ToJSONKeyFunction AppInstanceType #

toJSONKeyList :: ToJSONKeyFunction [AppInstanceType] #

ToByteString AppInstanceType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AppInstanceType

Methods

toBS :: AppInstanceType -> ByteString #

ToHeader AppInstanceType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AppInstanceType

Methods

toHeader :: HeaderName -> AppInstanceType -> [Header] #

ToLog AppInstanceType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AppInstanceType

Methods

build :: AppInstanceType -> ByteStringBuilder #

ToQuery AppInstanceType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AppInstanceType

Methods

toQuery :: AppInstanceType -> QueryString #

FromText AppInstanceType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AppInstanceType

Methods

fromText :: Text -> Either String AppInstanceType #

ToText AppInstanceType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AppInstanceType

Methods

toText :: AppInstanceType -> Text #

FromXML AppInstanceType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AppInstanceType

Methods

parseXML :: [Node] -> Either String AppInstanceType #

ToXML AppInstanceType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AppInstanceType

Methods

toXML :: AppInstanceType -> XML #

Generic AppInstanceType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AppInstanceType

Associated Types

type Rep AppInstanceType :: Type -> Type #

Methods

from :: AppInstanceType -> Rep AppInstanceType x #

to :: Rep AppInstanceType x -> AppInstanceType #

Read AppInstanceType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AppInstanceType

Methods

readsPrec :: Int -> ReadS AppInstanceType #

readList :: ReadS [AppInstanceType] #

readPrec :: ReadPrec AppInstanceType #

readListPrec :: ReadPrec [AppInstanceType] #

Show AppInstanceType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AppInstanceType

Methods

showsPrec :: Int -> AppInstanceType -> ShowS #

show :: AppInstanceType -> String #

showList :: [AppInstanceType] -> ShowS #

NFData AppInstanceType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AppInstanceType

Methods

rnf :: AppInstanceType -> () #

Eq AppInstanceType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AppInstanceType

Methods

(==) :: AppInstanceType -> AppInstanceType -> Bool #

(/=) :: AppInstanceType -> AppInstanceType -> Bool #

Ord AppInstanceType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AppInstanceType

Methods

compare :: AppInstanceType -> AppInstanceType -> Ordering #

(<) :: AppInstanceType -> AppInstanceType -> Bool #

(<=) :: AppInstanceType -> AppInstanceType -> Bool #

(>) :: AppInstanceType -> AppInstanceType -> Bool #

(>=) :: AppInstanceType -> AppInstanceType -> Bool #

max :: AppInstanceType -> AppInstanceType -> AppInstanceType #

min :: AppInstanceType -> AppInstanceType -> AppInstanceType #

Hashable AppInstanceType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AppInstanceType

Methods

hashWithSalt :: Int -> AppInstanceType -> Int #

hash :: AppInstanceType -> Int #

type Rep AppInstanceType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AppInstanceType

type Rep AppInstanceType = D1 ('MetaData "AppInstanceType" "Amazonka.SageMaker.Types.AppInstanceType" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'True) (C1 ('MetaCons "AppInstanceType'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromAppInstanceType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

AppNetworkAccessType

newtype AppNetworkAccessType Source #

Constructors

AppNetworkAccessType' 

Fields

Bundled Patterns

pattern AppNetworkAccessType_PublicInternetOnly :: AppNetworkAccessType 
pattern AppNetworkAccessType_VpcOnly :: AppNetworkAccessType 

Instances

Instances details
FromJSON AppNetworkAccessType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AppNetworkAccessType

Methods

parseJSON :: Value -> Parser AppNetworkAccessType #

parseJSONList :: Value -> Parser [AppNetworkAccessType] #

FromJSONKey AppNetworkAccessType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AppNetworkAccessType

Methods

fromJSONKey :: FromJSONKeyFunction AppNetworkAccessType #

fromJSONKeyList :: FromJSONKeyFunction [AppNetworkAccessType] #

ToJSON AppNetworkAccessType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AppNetworkAccessType

Methods

toJSON :: AppNetworkAccessType -> Value #

toEncoding :: AppNetworkAccessType -> Encoding #

toJSONList :: [AppNetworkAccessType] -> Value #

toEncodingList :: [AppNetworkAccessType] -> Encoding #

ToJSONKey AppNetworkAccessType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AppNetworkAccessType

Methods

toJSONKey :: ToJSONKeyFunction AppNetworkAccessType #

toJSONKeyList :: ToJSONKeyFunction [AppNetworkAccessType] #

ToByteString AppNetworkAccessType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AppNetworkAccessType

Methods

toBS :: AppNetworkAccessType -> ByteString #

ToHeader AppNetworkAccessType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AppNetworkAccessType

Methods

toHeader :: HeaderName -> AppNetworkAccessType -> [Header] #

ToLog AppNetworkAccessType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AppNetworkAccessType

Methods

build :: AppNetworkAccessType -> ByteStringBuilder #

ToQuery AppNetworkAccessType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AppNetworkAccessType

Methods

toQuery :: AppNetworkAccessType -> QueryString #

FromText AppNetworkAccessType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AppNetworkAccessType

Methods

fromText :: Text -> Either String AppNetworkAccessType #

ToText AppNetworkAccessType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AppNetworkAccessType

Methods

toText :: AppNetworkAccessType -> Text #

FromXML AppNetworkAccessType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AppNetworkAccessType

Methods

parseXML :: [Node] -> Either String AppNetworkAccessType #

ToXML AppNetworkAccessType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AppNetworkAccessType

Methods

toXML :: AppNetworkAccessType -> XML #

Generic AppNetworkAccessType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AppNetworkAccessType

Associated Types

type Rep AppNetworkAccessType :: Type -> Type #

Methods

from :: AppNetworkAccessType -> Rep AppNetworkAccessType x #

to :: Rep AppNetworkAccessType x -> AppNetworkAccessType #

Read AppNetworkAccessType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AppNetworkAccessType

Methods

readsPrec :: Int -> ReadS AppNetworkAccessType #

readList :: ReadS [AppNetworkAccessType] #

readPrec :: ReadPrec AppNetworkAccessType #

readListPrec :: ReadPrec [AppNetworkAccessType] #

Show AppNetworkAccessType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AppNetworkAccessType

Methods

showsPrec :: Int -> AppNetworkAccessType -> ShowS #

show :: AppNetworkAccessType -> String #

showList :: [AppNetworkAccessType] -> ShowS #

NFData AppNetworkAccessType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AppNetworkAccessType

Methods

rnf :: AppNetworkAccessType -> () #

Eq AppNetworkAccessType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AppNetworkAccessType

Methods

(==) :: AppNetworkAccessType -> AppNetworkAccessType -> Bool #

(/=) :: AppNetworkAccessType -> AppNetworkAccessType -> Bool #

Ord AppNetworkAccessType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AppNetworkAccessType

Methods

compare :: AppNetworkAccessType -> AppNetworkAccessType -> Ordering #

(<) :: AppNetworkAccessType -> AppNetworkAccessType -> Bool #

(<=) :: AppNetworkAccessType -> AppNetworkAccessType -> Bool #

(>) :: AppNetworkAccessType -> AppNetworkAccessType -> Bool #

(>=) :: AppNetworkAccessType -> AppNetworkAccessType -> Bool #

max :: AppNetworkAccessType -> AppNetworkAccessType -> AppNetworkAccessType #

min :: AppNetworkAccessType -> AppNetworkAccessType -> AppNetworkAccessType #

Hashable AppNetworkAccessType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AppNetworkAccessType

Methods

hashWithSalt :: Int -> AppNetworkAccessType -> Int #

hash :: AppNetworkAccessType -> Int #

type Rep AppNetworkAccessType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AppNetworkAccessType

type Rep AppNetworkAccessType = D1 ('MetaData "AppNetworkAccessType" "Amazonka.SageMaker.Types.AppNetworkAccessType" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'True) (C1 ('MetaCons "AppNetworkAccessType'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromAppNetworkAccessType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

AppSecurityGroupManagement

newtype AppSecurityGroupManagement Source #

Constructors

AppSecurityGroupManagement' 

Fields

Bundled Patterns

pattern AppSecurityGroupManagement_Customer :: AppSecurityGroupManagement 
pattern AppSecurityGroupManagement_Service :: AppSecurityGroupManagement 

Instances

Instances details
FromJSON AppSecurityGroupManagement Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AppSecurityGroupManagement

Methods

parseJSON :: Value -> Parser AppSecurityGroupManagement #

parseJSONList :: Value -> Parser [AppSecurityGroupManagement] #

FromJSONKey AppSecurityGroupManagement Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AppSecurityGroupManagement

Methods

fromJSONKey :: FromJSONKeyFunction AppSecurityGroupManagement #

fromJSONKeyList :: FromJSONKeyFunction [AppSecurityGroupManagement] #

ToJSON AppSecurityGroupManagement Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AppSecurityGroupManagement

Methods

toJSON :: AppSecurityGroupManagement -> Value #

toEncoding :: AppSecurityGroupManagement -> Encoding #

toJSONList :: [AppSecurityGroupManagement] -> Value #

toEncodingList :: [AppSecurityGroupManagement] -> Encoding #

ToJSONKey AppSecurityGroupManagement Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AppSecurityGroupManagement

Methods

toJSONKey :: ToJSONKeyFunction AppSecurityGroupManagement #

toJSONKeyList :: ToJSONKeyFunction [AppSecurityGroupManagement] #

ToByteString AppSecurityGroupManagement Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AppSecurityGroupManagement

Methods

toBS :: AppSecurityGroupManagement -> ByteString #

ToHeader AppSecurityGroupManagement Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AppSecurityGroupManagement

Methods

toHeader :: HeaderName -> AppSecurityGroupManagement -> [Header] #

ToLog AppSecurityGroupManagement Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AppSecurityGroupManagement

Methods

build :: AppSecurityGroupManagement -> ByteStringBuilder #

ToQuery AppSecurityGroupManagement Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AppSecurityGroupManagement

Methods

toQuery :: AppSecurityGroupManagement -> QueryString #

FromText AppSecurityGroupManagement Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AppSecurityGroupManagement

Methods

fromText :: Text -> Either String AppSecurityGroupManagement #

ToText AppSecurityGroupManagement Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AppSecurityGroupManagement

Methods

toText :: AppSecurityGroupManagement -> Text #

FromXML AppSecurityGroupManagement Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AppSecurityGroupManagement

Methods

parseXML :: [Node] -> Either String AppSecurityGroupManagement #

ToXML AppSecurityGroupManagement Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AppSecurityGroupManagement

Methods

toXML :: AppSecurityGroupManagement -> XML #

Generic AppSecurityGroupManagement Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AppSecurityGroupManagement

Associated Types

type Rep AppSecurityGroupManagement :: Type -> Type #

Methods

from :: AppSecurityGroupManagement -> Rep AppSecurityGroupManagement x #

to :: Rep AppSecurityGroupManagement x -> AppSecurityGroupManagement #

Read AppSecurityGroupManagement Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AppSecurityGroupManagement

Methods

readsPrec :: Int -> ReadS AppSecurityGroupManagement #

readList :: ReadS [AppSecurityGroupManagement] #

readPrec :: ReadPrec AppSecurityGroupManagement #

readListPrec :: ReadPrec [AppSecurityGroupManagement] #

Show AppSecurityGroupManagement Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AppSecurityGroupManagement

Methods

showsPrec :: Int -> AppSecurityGroupManagement -> ShowS #

show :: AppSecurityGroupManagement -> String #

showList :: [AppSecurityGroupManagement] -> ShowS #

NFData AppSecurityGroupManagement Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AppSecurityGroupManagement

Methods

rnf :: AppSecurityGroupManagement -> () #

Eq AppSecurityGroupManagement Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AppSecurityGroupManagement

Methods

(==) :: AppSecurityGroupManagement -> AppSecurityGroupManagement -> Bool #

(/=) :: AppSecurityGroupManagement -> AppSecurityGroupManagement -> Bool #

Ord AppSecurityGroupManagement Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AppSecurityGroupManagement

Methods

compare :: AppSecurityGroupManagement -> AppSecurityGroupManagement -> Ordering #

(<) :: AppSecurityGroupManagement -> AppSecurityGroupManagement -> Bool #

(<=) :: AppSecurityGroupManagement -> AppSecurityGroupManagement -> Bool #

(>) :: AppSecurityGroupManagement -> AppSecurityGroupManagement -> Bool #

(>=) :: AppSecurityGroupManagement -> AppSecurityGroupManagement -> Bool #

max :: AppSecurityGroupManagement -> AppSecurityGroupManagement -> AppSecurityGroupManagement #

min :: AppSecurityGroupManagement -> AppSecurityGroupManagement -> AppSecurityGroupManagement #

Hashable AppSecurityGroupManagement Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AppSecurityGroupManagement

Methods

hashWithSalt :: Int -> AppSecurityGroupManagement -> Int #

hash :: AppSecurityGroupManagement -> Int #

type Rep AppSecurityGroupManagement Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AppSecurityGroupManagement

type Rep AppSecurityGroupManagement = D1 ('MetaData "AppSecurityGroupManagement" "Amazonka.SageMaker.Types.AppSecurityGroupManagement" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'True) (C1 ('MetaCons "AppSecurityGroupManagement'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromAppSecurityGroupManagement") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

AppSortKey

newtype AppSortKey Source #

Constructors

AppSortKey' 

Fields

Bundled Patterns

pattern AppSortKey_CreationTime :: AppSortKey 

Instances

Instances details
FromJSON AppSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AppSortKey

Methods

parseJSON :: Value -> Parser AppSortKey #

parseJSONList :: Value -> Parser [AppSortKey] #

FromJSONKey AppSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AppSortKey

Methods

fromJSONKey :: FromJSONKeyFunction AppSortKey #

fromJSONKeyList :: FromJSONKeyFunction [AppSortKey] #

ToJSON AppSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AppSortKey

Methods

toJSON :: AppSortKey -> Value #

toEncoding :: AppSortKey -> Encoding #

toJSONList :: [AppSortKey] -> Value #

toEncodingList :: [AppSortKey] -> Encoding #

ToJSONKey AppSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AppSortKey

Methods

toJSONKey :: ToJSONKeyFunction AppSortKey #

toJSONKeyList :: ToJSONKeyFunction [AppSortKey] #

ToByteString AppSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AppSortKey

Methods

toBS :: AppSortKey -> ByteString #

ToHeader AppSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AppSortKey

Methods

toHeader :: HeaderName -> AppSortKey -> [Header] #

ToLog AppSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AppSortKey

Methods

build :: AppSortKey -> ByteStringBuilder #

ToQuery AppSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AppSortKey

Methods

toQuery :: AppSortKey -> QueryString #

FromText AppSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AppSortKey

Methods

fromText :: Text -> Either String AppSortKey #

ToText AppSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AppSortKey

Methods

toText :: AppSortKey -> Text #

FromXML AppSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AppSortKey

Methods

parseXML :: [Node] -> Either String AppSortKey #

ToXML AppSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AppSortKey

Methods

toXML :: AppSortKey -> XML #

Generic AppSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AppSortKey

Associated Types

type Rep AppSortKey :: Type -> Type #

Methods

from :: AppSortKey -> Rep AppSortKey x #

to :: Rep AppSortKey x -> AppSortKey #

Read AppSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AppSortKey

Methods

readsPrec :: Int -> ReadS AppSortKey #

readList :: ReadS [AppSortKey] #

readPrec :: ReadPrec AppSortKey #

readListPrec :: ReadPrec [AppSortKey] #

Show AppSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AppSortKey

Methods

showsPrec :: Int -> AppSortKey -> ShowS #

show :: AppSortKey -> String #

showList :: [AppSortKey] -> ShowS #

NFData AppSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AppSortKey

Methods

rnf :: AppSortKey -> () #

Eq AppSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AppSortKey

Methods

(==) :: AppSortKey -> AppSortKey -> Bool #

(/=) :: AppSortKey -> AppSortKey -> Bool #

Ord AppSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AppSortKey

Methods

compare :: AppSortKey -> AppSortKey -> Ordering #

(<) :: AppSortKey -> AppSortKey -> Bool #

(<=) :: AppSortKey -> AppSortKey -> Bool #

(>) :: AppSortKey -> AppSortKey -> Bool #

(>=) :: AppSortKey -> AppSortKey -> Bool #

max :: AppSortKey -> AppSortKey -> AppSortKey #

min :: AppSortKey -> AppSortKey -> AppSortKey #

Hashable AppSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AppSortKey

Methods

hashWithSalt :: Int -> AppSortKey -> Int #

hash :: AppSortKey -> Int #

type Rep AppSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AppSortKey

type Rep AppSortKey = D1 ('MetaData "AppSortKey" "Amazonka.SageMaker.Types.AppSortKey" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'True) (C1 ('MetaCons "AppSortKey'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromAppSortKey") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

AppStatus

newtype AppStatus Source #

Constructors

AppStatus' 

Fields

Bundled Patterns

pattern AppStatus_Deleted :: AppStatus 
pattern AppStatus_Deleting :: AppStatus 
pattern AppStatus_Failed :: AppStatus 
pattern AppStatus_InService :: AppStatus 
pattern AppStatus_Pending :: AppStatus 

Instances

Instances details
FromJSON AppStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AppStatus

Methods

parseJSON :: Value -> Parser AppStatus #

parseJSONList :: Value -> Parser [AppStatus] #

FromJSONKey AppStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AppStatus

Methods

fromJSONKey :: FromJSONKeyFunction AppStatus #

fromJSONKeyList :: FromJSONKeyFunction [AppStatus] #

ToJSON AppStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AppStatus

Methods

toJSON :: AppStatus -> Value #

toEncoding :: AppStatus -> Encoding #

toJSONList :: [AppStatus] -> Value #

toEncodingList :: [AppStatus] -> Encoding #

ToJSONKey AppStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AppStatus

Methods

toJSONKey :: ToJSONKeyFunction AppStatus #

toJSONKeyList :: ToJSONKeyFunction [AppStatus] #

ToByteString AppStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AppStatus

Methods

toBS :: AppStatus -> ByteString #

ToHeader AppStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AppStatus

Methods

toHeader :: HeaderName -> AppStatus -> [Header] #

ToLog AppStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AppStatus

Methods

build :: AppStatus -> ByteStringBuilder #

ToQuery AppStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AppStatus

Methods

toQuery :: AppStatus -> QueryString #

FromText AppStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AppStatus

Methods

fromText :: Text -> Either String AppStatus #

ToText AppStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AppStatus

Methods

toText :: AppStatus -> Text #

FromXML AppStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AppStatus

Methods

parseXML :: [Node] -> Either String AppStatus #

ToXML AppStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AppStatus

Methods

toXML :: AppStatus -> XML #

Generic AppStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AppStatus

Associated Types

type Rep AppStatus :: Type -> Type #

Methods

from :: AppStatus -> Rep AppStatus x #

to :: Rep AppStatus x -> AppStatus #

Read AppStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AppStatus

Methods

readsPrec :: Int -> ReadS AppStatus #

readList :: ReadS [AppStatus] #

readPrec :: ReadPrec AppStatus #

readListPrec :: ReadPrec [AppStatus] #

Show AppStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AppStatus

Methods

showsPrec :: Int -> AppStatus -> ShowS #

show :: AppStatus -> String #

showList :: [AppStatus] -> ShowS #

NFData AppStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AppStatus

Methods

rnf :: AppStatus -> () #

Eq AppStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AppStatus

Methods

(==) :: AppStatus -> AppStatus -> Bool #

(/=) :: AppStatus -> AppStatus -> Bool #

Ord AppStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AppStatus

Methods

compare :: AppStatus -> AppStatus -> Ordering #

(<) :: AppStatus -> AppStatus -> Bool #

(<=) :: AppStatus -> AppStatus -> Bool #

(>) :: AppStatus -> AppStatus -> Bool #

(>=) :: AppStatus -> AppStatus -> Bool #

max :: AppStatus -> AppStatus -> AppStatus #

min :: AppStatus -> AppStatus -> AppStatus #

Hashable AppStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AppStatus

Methods

hashWithSalt :: Int -> AppStatus -> Int #

hash :: AppStatus -> Int #

type Rep AppStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AppStatus

type Rep AppStatus = D1 ('MetaData "AppStatus" "Amazonka.SageMaker.Types.AppStatus" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'True) (C1 ('MetaCons "AppStatus'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromAppStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

AppType

newtype AppType Source #

Constructors

AppType' 

Fields

Bundled Patterns

pattern AppType_JupyterServer :: AppType 
pattern AppType_KernelGateway :: AppType 
pattern AppType_RSessionGateway :: AppType 
pattern AppType_RStudioServerPro :: AppType 
pattern AppType_TensorBoard :: AppType 

Instances

Instances details
FromJSON AppType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AppType

Methods

parseJSON :: Value -> Parser AppType #

parseJSONList :: Value -> Parser [AppType] #

FromJSONKey AppType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AppType

Methods

fromJSONKey :: FromJSONKeyFunction AppType #

fromJSONKeyList :: FromJSONKeyFunction [AppType] #

ToJSON AppType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AppType

Methods

toJSON :: AppType -> Value #

toEncoding :: AppType -> Encoding #

toJSONList :: [AppType] -> Value #

toEncodingList :: [AppType] -> Encoding #

ToJSONKey AppType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AppType

Methods

toJSONKey :: ToJSONKeyFunction AppType #

toJSONKeyList :: ToJSONKeyFunction [AppType] #

ToByteString AppType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AppType

Methods

toBS :: AppType -> ByteString #

ToHeader AppType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AppType

Methods

toHeader :: HeaderName -> AppType -> [Header] #

ToLog AppType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AppType

Methods

build :: AppType -> ByteStringBuilder #

ToQuery AppType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AppType

Methods

toQuery :: AppType -> QueryString #

FromText AppType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AppType

Methods

fromText :: Text -> Either String AppType #

ToText AppType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AppType

Methods

toText :: AppType -> Text #

FromXML AppType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AppType

Methods

parseXML :: [Node] -> Either String AppType #

ToXML AppType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AppType

Methods

toXML :: AppType -> XML #

Generic AppType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AppType

Associated Types

type Rep AppType :: Type -> Type #

Methods

from :: AppType -> Rep AppType x #

to :: Rep AppType x -> AppType #

Read AppType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AppType

Methods

readsPrec :: Int -> ReadS AppType #

readList :: ReadS [AppType] #

readPrec :: ReadPrec AppType #

readListPrec :: ReadPrec [AppType] #

Show AppType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AppType

Methods

showsPrec :: Int -> AppType -> ShowS #

show :: AppType -> String #

showList :: [AppType] -> ShowS #

NFData AppType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AppType

Methods

rnf :: AppType -> () #

Eq AppType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AppType

Methods

(==) :: AppType -> AppType -> Bool #

(/=) :: AppType -> AppType -> Bool #

Ord AppType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AppType

Methods

compare :: AppType -> AppType -> Ordering #

(<) :: AppType -> AppType -> Bool #

(<=) :: AppType -> AppType -> Bool #

(>) :: AppType -> AppType -> Bool #

(>=) :: AppType -> AppType -> Bool #

max :: AppType -> AppType -> AppType #

min :: AppType -> AppType -> AppType #

Hashable AppType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AppType

Methods

hashWithSalt :: Int -> AppType -> Int #

hash :: AppType -> Int #

type Rep AppType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AppType

type Rep AppType = D1 ('MetaData "AppType" "Amazonka.SageMaker.Types.AppType" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'True) (C1 ('MetaCons "AppType'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromAppType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

ArtifactSourceIdType

newtype ArtifactSourceIdType Source #

Constructors

ArtifactSourceIdType' 

Fields

Bundled Patterns

pattern ArtifactSourceIdType_Custom :: ArtifactSourceIdType 
pattern ArtifactSourceIdType_MD5Hash :: ArtifactSourceIdType 
pattern ArtifactSourceIdType_S3ETag :: ArtifactSourceIdType 
pattern ArtifactSourceIdType_S3Version :: ArtifactSourceIdType 

Instances

Instances details
FromJSON ArtifactSourceIdType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ArtifactSourceIdType

Methods

parseJSON :: Value -> Parser ArtifactSourceIdType #

parseJSONList :: Value -> Parser [ArtifactSourceIdType] #

FromJSONKey ArtifactSourceIdType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ArtifactSourceIdType

Methods

fromJSONKey :: FromJSONKeyFunction ArtifactSourceIdType #

fromJSONKeyList :: FromJSONKeyFunction [ArtifactSourceIdType] #

ToJSON ArtifactSourceIdType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ArtifactSourceIdType

Methods

toJSON :: ArtifactSourceIdType -> Value #

toEncoding :: ArtifactSourceIdType -> Encoding #

toJSONList :: [ArtifactSourceIdType] -> Value #

toEncodingList :: [ArtifactSourceIdType] -> Encoding #

ToJSONKey ArtifactSourceIdType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ArtifactSourceIdType

Methods

toJSONKey :: ToJSONKeyFunction ArtifactSourceIdType #

toJSONKeyList :: ToJSONKeyFunction [ArtifactSourceIdType] #

ToByteString ArtifactSourceIdType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ArtifactSourceIdType

Methods

toBS :: ArtifactSourceIdType -> ByteString #

ToHeader ArtifactSourceIdType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ArtifactSourceIdType

Methods

toHeader :: HeaderName -> ArtifactSourceIdType -> [Header] #

ToLog ArtifactSourceIdType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ArtifactSourceIdType

Methods

build :: ArtifactSourceIdType -> ByteStringBuilder #

ToQuery ArtifactSourceIdType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ArtifactSourceIdType

Methods

toQuery :: ArtifactSourceIdType -> QueryString #

FromText ArtifactSourceIdType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ArtifactSourceIdType

Methods

fromText :: Text -> Either String ArtifactSourceIdType #

ToText ArtifactSourceIdType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ArtifactSourceIdType

Methods

toText :: ArtifactSourceIdType -> Text #

FromXML ArtifactSourceIdType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ArtifactSourceIdType

Methods

parseXML :: [Node] -> Either String ArtifactSourceIdType #

ToXML ArtifactSourceIdType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ArtifactSourceIdType

Methods

toXML :: ArtifactSourceIdType -> XML #

Generic ArtifactSourceIdType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ArtifactSourceIdType

Associated Types

type Rep ArtifactSourceIdType :: Type -> Type #

Methods

from :: ArtifactSourceIdType -> Rep ArtifactSourceIdType x #

to :: Rep ArtifactSourceIdType x -> ArtifactSourceIdType #

Read ArtifactSourceIdType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ArtifactSourceIdType

Methods

readsPrec :: Int -> ReadS ArtifactSourceIdType #

readList :: ReadS [ArtifactSourceIdType] #

readPrec :: ReadPrec ArtifactSourceIdType #

readListPrec :: ReadPrec [ArtifactSourceIdType] #

Show ArtifactSourceIdType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ArtifactSourceIdType

Methods

showsPrec :: Int -> ArtifactSourceIdType -> ShowS #

show :: ArtifactSourceIdType -> String #

showList :: [ArtifactSourceIdType] -> ShowS #

NFData ArtifactSourceIdType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ArtifactSourceIdType

Methods

rnf :: ArtifactSourceIdType -> () #

Eq ArtifactSourceIdType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ArtifactSourceIdType

Methods

(==) :: ArtifactSourceIdType -> ArtifactSourceIdType -> Bool #

(/=) :: ArtifactSourceIdType -> ArtifactSourceIdType -> Bool #

Ord ArtifactSourceIdType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ArtifactSourceIdType

Methods

compare :: ArtifactSourceIdType -> ArtifactSourceIdType -> Ordering #

(<) :: ArtifactSourceIdType -> ArtifactSourceIdType -> Bool #

(<=) :: ArtifactSourceIdType -> ArtifactSourceIdType -> Bool #

(>) :: ArtifactSourceIdType -> ArtifactSourceIdType -> Bool #

(>=) :: ArtifactSourceIdType -> ArtifactSourceIdType -> Bool #

max :: ArtifactSourceIdType -> ArtifactSourceIdType -> ArtifactSourceIdType #

min :: ArtifactSourceIdType -> ArtifactSourceIdType -> ArtifactSourceIdType #

Hashable ArtifactSourceIdType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ArtifactSourceIdType

Methods

hashWithSalt :: Int -> ArtifactSourceIdType -> Int #

hash :: ArtifactSourceIdType -> Int #

type Rep ArtifactSourceIdType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ArtifactSourceIdType

type Rep ArtifactSourceIdType = D1 ('MetaData "ArtifactSourceIdType" "Amazonka.SageMaker.Types.ArtifactSourceIdType" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'True) (C1 ('MetaCons "ArtifactSourceIdType'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromArtifactSourceIdType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

AssemblyType

newtype AssemblyType Source #

Constructors

AssemblyType' 

Fields

Bundled Patterns

pattern AssemblyType_Line :: AssemblyType 
pattern AssemblyType_None :: AssemblyType 

Instances

Instances details
FromJSON AssemblyType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AssemblyType

Methods

parseJSON :: Value -> Parser AssemblyType #

parseJSONList :: Value -> Parser [AssemblyType] #

FromJSONKey AssemblyType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AssemblyType

Methods

fromJSONKey :: FromJSONKeyFunction AssemblyType #

fromJSONKeyList :: FromJSONKeyFunction [AssemblyType] #

ToJSON AssemblyType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AssemblyType

Methods

toJSON :: AssemblyType -> Value #

toEncoding :: AssemblyType -> Encoding #

toJSONList :: [AssemblyType] -> Value #

toEncodingList :: [AssemblyType] -> Encoding #

ToJSONKey AssemblyType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AssemblyType

Methods

toJSONKey :: ToJSONKeyFunction AssemblyType #

toJSONKeyList :: ToJSONKeyFunction [AssemblyType] #

ToByteString AssemblyType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AssemblyType

Methods

toBS :: AssemblyType -> ByteString #

ToHeader AssemblyType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AssemblyType

Methods

toHeader :: HeaderName -> AssemblyType -> [Header] #

ToLog AssemblyType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AssemblyType

Methods

build :: AssemblyType -> ByteStringBuilder #

ToQuery AssemblyType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AssemblyType

Methods

toQuery :: AssemblyType -> QueryString #

FromText AssemblyType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AssemblyType

Methods

fromText :: Text -> Either String AssemblyType #

ToText AssemblyType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AssemblyType

Methods

toText :: AssemblyType -> Text #

FromXML AssemblyType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AssemblyType

Methods

parseXML :: [Node] -> Either String AssemblyType #

ToXML AssemblyType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AssemblyType

Methods

toXML :: AssemblyType -> XML #

Generic AssemblyType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AssemblyType

Associated Types

type Rep AssemblyType :: Type -> Type #

Methods

from :: AssemblyType -> Rep AssemblyType x #

to :: Rep AssemblyType x -> AssemblyType #

Read AssemblyType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AssemblyType

Methods

readsPrec :: Int -> ReadS AssemblyType #

readList :: ReadS [AssemblyType] #

readPrec :: ReadPrec AssemblyType #

readListPrec :: ReadPrec [AssemblyType] #

Show AssemblyType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AssemblyType

Methods

showsPrec :: Int -> AssemblyType -> ShowS #

show :: AssemblyType -> String #

showList :: [AssemblyType] -> ShowS #

NFData AssemblyType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AssemblyType

Methods

rnf :: AssemblyType -> () #

Eq AssemblyType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AssemblyType

Methods

(==) :: AssemblyType -> AssemblyType -> Bool #

(/=) :: AssemblyType -> AssemblyType -> Bool #

Ord AssemblyType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AssemblyType

Methods

compare :: AssemblyType -> AssemblyType -> Ordering #

(<) :: AssemblyType -> AssemblyType -> Bool #

(<=) :: AssemblyType -> AssemblyType -> Bool #

(>) :: AssemblyType -> AssemblyType -> Bool #

(>=) :: AssemblyType -> AssemblyType -> Bool #

max :: AssemblyType -> AssemblyType -> AssemblyType #

min :: AssemblyType -> AssemblyType -> AssemblyType #

Hashable AssemblyType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AssemblyType

Methods

hashWithSalt :: Int -> AssemblyType -> Int #

hash :: AssemblyType -> Int #

type Rep AssemblyType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AssemblyType

type Rep AssemblyType = D1 ('MetaData "AssemblyType" "Amazonka.SageMaker.Types.AssemblyType" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'True) (C1 ('MetaCons "AssemblyType'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromAssemblyType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

AssociationEdgeType

newtype AssociationEdgeType Source #

Constructors

AssociationEdgeType' 

Fields

Bundled Patterns

pattern AssociationEdgeType_AssociatedWith :: AssociationEdgeType 
pattern AssociationEdgeType_ContributedTo :: AssociationEdgeType 
pattern AssociationEdgeType_DerivedFrom :: AssociationEdgeType 
pattern AssociationEdgeType_Produced :: AssociationEdgeType 

Instances

Instances details
FromJSON AssociationEdgeType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AssociationEdgeType

Methods

parseJSON :: Value -> Parser AssociationEdgeType #

parseJSONList :: Value -> Parser [AssociationEdgeType] #

FromJSONKey AssociationEdgeType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AssociationEdgeType

Methods

fromJSONKey :: FromJSONKeyFunction AssociationEdgeType #

fromJSONKeyList :: FromJSONKeyFunction [AssociationEdgeType] #

ToJSON AssociationEdgeType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AssociationEdgeType

Methods

toJSON :: AssociationEdgeType -> Value #

toEncoding :: AssociationEdgeType -> Encoding #

toJSONList :: [AssociationEdgeType] -> Value #

toEncodingList :: [AssociationEdgeType] -> Encoding #

ToJSONKey AssociationEdgeType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AssociationEdgeType

Methods

toJSONKey :: ToJSONKeyFunction AssociationEdgeType #

toJSONKeyList :: ToJSONKeyFunction [AssociationEdgeType] #

ToByteString AssociationEdgeType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AssociationEdgeType

Methods

toBS :: AssociationEdgeType -> ByteString #

ToHeader AssociationEdgeType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AssociationEdgeType

Methods

toHeader :: HeaderName -> AssociationEdgeType -> [Header] #

ToLog AssociationEdgeType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AssociationEdgeType

Methods

build :: AssociationEdgeType -> ByteStringBuilder #

ToQuery AssociationEdgeType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AssociationEdgeType

Methods

toQuery :: AssociationEdgeType -> QueryString #

FromText AssociationEdgeType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AssociationEdgeType

Methods

fromText :: Text -> Either String AssociationEdgeType #

ToText AssociationEdgeType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AssociationEdgeType

Methods

toText :: AssociationEdgeType -> Text #

FromXML AssociationEdgeType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AssociationEdgeType

Methods

parseXML :: [Node] -> Either String AssociationEdgeType #

ToXML AssociationEdgeType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AssociationEdgeType

Methods

toXML :: AssociationEdgeType -> XML #

Generic AssociationEdgeType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AssociationEdgeType

Associated Types

type Rep AssociationEdgeType :: Type -> Type #

Methods

from :: AssociationEdgeType -> Rep AssociationEdgeType x #

to :: Rep AssociationEdgeType x -> AssociationEdgeType #

Read AssociationEdgeType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AssociationEdgeType

Methods

readsPrec :: Int -> ReadS AssociationEdgeType #

readList :: ReadS [AssociationEdgeType] #

readPrec :: ReadPrec AssociationEdgeType #

readListPrec :: ReadPrec [AssociationEdgeType] #

Show AssociationEdgeType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AssociationEdgeType

Methods

showsPrec :: Int -> AssociationEdgeType -> ShowS #

show :: AssociationEdgeType -> String #

showList :: [AssociationEdgeType] -> ShowS #

NFData AssociationEdgeType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AssociationEdgeType

Methods

rnf :: AssociationEdgeType -> () #

Eq AssociationEdgeType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AssociationEdgeType

Methods

(==) :: AssociationEdgeType -> AssociationEdgeType -> Bool #

(/=) :: AssociationEdgeType -> AssociationEdgeType -> Bool #

Ord AssociationEdgeType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AssociationEdgeType

Methods

compare :: AssociationEdgeType -> AssociationEdgeType -> Ordering #

(<) :: AssociationEdgeType -> AssociationEdgeType -> Bool #

(<=) :: AssociationEdgeType -> AssociationEdgeType -> Bool #

(>) :: AssociationEdgeType -> AssociationEdgeType -> Bool #

(>=) :: AssociationEdgeType -> AssociationEdgeType -> Bool #

max :: AssociationEdgeType -> AssociationEdgeType -> AssociationEdgeType #

min :: AssociationEdgeType -> AssociationEdgeType -> AssociationEdgeType #

Hashable AssociationEdgeType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AssociationEdgeType

Methods

hashWithSalt :: Int -> AssociationEdgeType -> Int #

hash :: AssociationEdgeType -> Int #

type Rep AssociationEdgeType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AssociationEdgeType

type Rep AssociationEdgeType = D1 ('MetaData "AssociationEdgeType" "Amazonka.SageMaker.Types.AssociationEdgeType" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'True) (C1 ('MetaCons "AssociationEdgeType'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromAssociationEdgeType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

AthenaResultCompressionType

newtype AthenaResultCompressionType Source #

The compression used for Athena query results.

Constructors

AthenaResultCompressionType' 

Fields

Bundled Patterns

pattern AthenaResultCompressionType_GZIP :: AthenaResultCompressionType 
pattern AthenaResultCompressionType_SNAPPY :: AthenaResultCompressionType 
pattern AthenaResultCompressionType_ZLIB :: AthenaResultCompressionType 

Instances

Instances details
FromJSON AthenaResultCompressionType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AthenaResultCompressionType

Methods

parseJSON :: Value -> Parser AthenaResultCompressionType #

parseJSONList :: Value -> Parser [AthenaResultCompressionType] #

FromJSONKey AthenaResultCompressionType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AthenaResultCompressionType

Methods

fromJSONKey :: FromJSONKeyFunction AthenaResultCompressionType #

fromJSONKeyList :: FromJSONKeyFunction [AthenaResultCompressionType] #

ToJSON AthenaResultCompressionType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AthenaResultCompressionType

Methods

toJSON :: AthenaResultCompressionType -> Value #

toEncoding :: AthenaResultCompressionType -> Encoding #

toJSONList :: [AthenaResultCompressionType] -> Value #

toEncodingList :: [AthenaResultCompressionType] -> Encoding #

ToJSONKey AthenaResultCompressionType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AthenaResultCompressionType

Methods

toJSONKey :: ToJSONKeyFunction AthenaResultCompressionType #

toJSONKeyList :: ToJSONKeyFunction [AthenaResultCompressionType] #

ToByteString AthenaResultCompressionType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AthenaResultCompressionType

Methods

toBS :: AthenaResultCompressionType -> ByteString #

ToHeader AthenaResultCompressionType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AthenaResultCompressionType

Methods

toHeader :: HeaderName -> AthenaResultCompressionType -> [Header] #

ToLog AthenaResultCompressionType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AthenaResultCompressionType

Methods

build :: AthenaResultCompressionType -> ByteStringBuilder #

ToQuery AthenaResultCompressionType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AthenaResultCompressionType

Methods

toQuery :: AthenaResultCompressionType -> QueryString #

FromText AthenaResultCompressionType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AthenaResultCompressionType

Methods

fromText :: Text -> Either String AthenaResultCompressionType #

ToText AthenaResultCompressionType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AthenaResultCompressionType

Methods

toText :: AthenaResultCompressionType -> Text #

FromXML AthenaResultCompressionType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AthenaResultCompressionType

Methods

parseXML :: [Node] -> Either String AthenaResultCompressionType #

ToXML AthenaResultCompressionType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AthenaResultCompressionType

Methods

toXML :: AthenaResultCompressionType -> XML #

Generic AthenaResultCompressionType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AthenaResultCompressionType

Associated Types

type Rep AthenaResultCompressionType :: Type -> Type #

Methods

from :: AthenaResultCompressionType -> Rep AthenaResultCompressionType x #

to :: Rep AthenaResultCompressionType x -> AthenaResultCompressionType #

Read AthenaResultCompressionType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AthenaResultCompressionType

Methods

readsPrec :: Int -> ReadS AthenaResultCompressionType #

readList :: ReadS [AthenaResultCompressionType] #

readPrec :: ReadPrec AthenaResultCompressionType #

readListPrec :: ReadPrec [AthenaResultCompressionType] #

Show AthenaResultCompressionType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AthenaResultCompressionType

Methods

showsPrec :: Int -> AthenaResultCompressionType -> ShowS #

show :: AthenaResultCompressionType -> String #

showList :: [AthenaResultCompressionType] -> ShowS #

NFData AthenaResultCompressionType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AthenaResultCompressionType

Methods

rnf :: AthenaResultCompressionType -> () #

Eq AthenaResultCompressionType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AthenaResultCompressionType

Methods

(==) :: AthenaResultCompressionType -> AthenaResultCompressionType -> Bool #

(/=) :: AthenaResultCompressionType -> AthenaResultCompressionType -> Bool #

Ord AthenaResultCompressionType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AthenaResultCompressionType

Methods

compare :: AthenaResultCompressionType -> AthenaResultCompressionType -> Ordering #

(<) :: AthenaResultCompressionType -> AthenaResultCompressionType -> Bool #

(<=) :: AthenaResultCompressionType -> AthenaResultCompressionType -> Bool #

(>) :: AthenaResultCompressionType -> AthenaResultCompressionType -> Bool #

(>=) :: AthenaResultCompressionType -> AthenaResultCompressionType -> Bool #

max :: AthenaResultCompressionType -> AthenaResultCompressionType -> AthenaResultCompressionType #

min :: AthenaResultCompressionType -> AthenaResultCompressionType -> AthenaResultCompressionType #

Hashable AthenaResultCompressionType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AthenaResultCompressionType

Methods

hashWithSalt :: Int -> AthenaResultCompressionType -> Int #

hash :: AthenaResultCompressionType -> Int #

type Rep AthenaResultCompressionType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AthenaResultCompressionType

type Rep AthenaResultCompressionType = D1 ('MetaData "AthenaResultCompressionType" "Amazonka.SageMaker.Types.AthenaResultCompressionType" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'True) (C1 ('MetaCons "AthenaResultCompressionType'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromAthenaResultCompressionType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

AthenaResultFormat

newtype AthenaResultFormat Source #

The data storage format for Athena query results.

Constructors

AthenaResultFormat' 

Fields

Bundled Patterns

pattern AthenaResultFormat_AVRO :: AthenaResultFormat 
pattern AthenaResultFormat_JSON :: AthenaResultFormat 
pattern AthenaResultFormat_ORC :: AthenaResultFormat 
pattern AthenaResultFormat_PARQUET :: AthenaResultFormat 
pattern AthenaResultFormat_TEXTFILE :: AthenaResultFormat 

Instances

Instances details
FromJSON AthenaResultFormat Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AthenaResultFormat

Methods

parseJSON :: Value -> Parser AthenaResultFormat #

parseJSONList :: Value -> Parser [AthenaResultFormat] #

FromJSONKey AthenaResultFormat Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AthenaResultFormat

Methods

fromJSONKey :: FromJSONKeyFunction AthenaResultFormat #

fromJSONKeyList :: FromJSONKeyFunction [AthenaResultFormat] #

ToJSON AthenaResultFormat Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AthenaResultFormat

Methods

toJSON :: AthenaResultFormat -> Value #

toEncoding :: AthenaResultFormat -> Encoding #

toJSONList :: [AthenaResultFormat] -> Value #

toEncodingList :: [AthenaResultFormat] -> Encoding #

ToJSONKey AthenaResultFormat Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AthenaResultFormat

Methods

toJSONKey :: ToJSONKeyFunction AthenaResultFormat #

toJSONKeyList :: ToJSONKeyFunction [AthenaResultFormat] #

ToByteString AthenaResultFormat Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AthenaResultFormat

Methods

toBS :: AthenaResultFormat -> ByteString #

ToHeader AthenaResultFormat Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AthenaResultFormat

Methods

toHeader :: HeaderName -> AthenaResultFormat -> [Header] #

ToLog AthenaResultFormat Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AthenaResultFormat

Methods

build :: AthenaResultFormat -> ByteStringBuilder #

ToQuery AthenaResultFormat Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AthenaResultFormat

Methods

toQuery :: AthenaResultFormat -> QueryString #

FromText AthenaResultFormat Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AthenaResultFormat

Methods

fromText :: Text -> Either String AthenaResultFormat #

ToText AthenaResultFormat Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AthenaResultFormat

Methods

toText :: AthenaResultFormat -> Text #

FromXML AthenaResultFormat Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AthenaResultFormat

Methods

parseXML :: [Node] -> Either String AthenaResultFormat #

ToXML AthenaResultFormat Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AthenaResultFormat

Methods

toXML :: AthenaResultFormat -> XML #

Generic AthenaResultFormat Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AthenaResultFormat

Associated Types

type Rep AthenaResultFormat :: Type -> Type #

Methods

from :: AthenaResultFormat -> Rep AthenaResultFormat x #

to :: Rep AthenaResultFormat x -> AthenaResultFormat #

Read AthenaResultFormat Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AthenaResultFormat

Methods

readsPrec :: Int -> ReadS AthenaResultFormat #

readList :: ReadS [AthenaResultFormat] #

readPrec :: ReadPrec AthenaResultFormat #

readListPrec :: ReadPrec [AthenaResultFormat] #

Show AthenaResultFormat Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AthenaResultFormat

Methods

showsPrec :: Int -> AthenaResultFormat -> ShowS #

show :: AthenaResultFormat -> String #

showList :: [AthenaResultFormat] -> ShowS #

NFData AthenaResultFormat Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AthenaResultFormat

Methods

rnf :: AthenaResultFormat -> () #

Eq AthenaResultFormat Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AthenaResultFormat

Methods

(==) :: AthenaResultFormat -> AthenaResultFormat -> Bool #

(/=) :: AthenaResultFormat -> AthenaResultFormat -> Bool #

Ord AthenaResultFormat Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AthenaResultFormat

Methods

compare :: AthenaResultFormat -> AthenaResultFormat -> Ordering #

(<) :: AthenaResultFormat -> AthenaResultFormat -> Bool #

(<=) :: AthenaResultFormat -> AthenaResultFormat -> Bool #

(>) :: AthenaResultFormat -> AthenaResultFormat -> Bool #

(>=) :: AthenaResultFormat -> AthenaResultFormat -> Bool #

max :: AthenaResultFormat -> AthenaResultFormat -> AthenaResultFormat #

min :: AthenaResultFormat -> AthenaResultFormat -> AthenaResultFormat #

Hashable AthenaResultFormat Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AthenaResultFormat

Methods

hashWithSalt :: Int -> AthenaResultFormat -> Int #

hash :: AthenaResultFormat -> Int #

type Rep AthenaResultFormat Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AthenaResultFormat

type Rep AthenaResultFormat = D1 ('MetaData "AthenaResultFormat" "Amazonka.SageMaker.Types.AthenaResultFormat" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'True) (C1 ('MetaCons "AthenaResultFormat'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromAthenaResultFormat") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

AuthMode

newtype AuthMode Source #

Constructors

AuthMode' 

Fields

Bundled Patterns

pattern AuthMode_IAM :: AuthMode 
pattern AuthMode_SSO :: AuthMode 

Instances

Instances details
FromJSON AuthMode Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AuthMode

Methods

parseJSON :: Value -> Parser AuthMode #

parseJSONList :: Value -> Parser [AuthMode] #

FromJSONKey AuthMode Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AuthMode

Methods

fromJSONKey :: FromJSONKeyFunction AuthMode #

fromJSONKeyList :: FromJSONKeyFunction [AuthMode] #

ToJSON AuthMode Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AuthMode

Methods

toJSON :: AuthMode -> Value #

toEncoding :: AuthMode -> Encoding #

toJSONList :: [AuthMode] -> Value #

toEncodingList :: [AuthMode] -> Encoding #

ToJSONKey AuthMode Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AuthMode

Methods

toJSONKey :: ToJSONKeyFunction AuthMode #

toJSONKeyList :: ToJSONKeyFunction [AuthMode] #

ToByteString AuthMode Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AuthMode

Methods

toBS :: AuthMode -> ByteString #

ToHeader AuthMode Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AuthMode

Methods

toHeader :: HeaderName -> AuthMode -> [Header] #

ToLog AuthMode Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AuthMode

Methods

build :: AuthMode -> ByteStringBuilder #

ToQuery AuthMode Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AuthMode

Methods

toQuery :: AuthMode -> QueryString #

FromText AuthMode Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AuthMode

Methods

fromText :: Text -> Either String AuthMode #

ToText AuthMode Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AuthMode

Methods

toText :: AuthMode -> Text #

FromXML AuthMode Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AuthMode

Methods

parseXML :: [Node] -> Either String AuthMode #

ToXML AuthMode Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AuthMode

Methods

toXML :: AuthMode -> XML #

Generic AuthMode Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AuthMode

Associated Types

type Rep AuthMode :: Type -> Type #

Methods

from :: AuthMode -> Rep AuthMode x #

to :: Rep AuthMode x -> AuthMode #

Read AuthMode Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AuthMode

Methods

readsPrec :: Int -> ReadS AuthMode #

readList :: ReadS [AuthMode] #

readPrec :: ReadPrec AuthMode #

readListPrec :: ReadPrec [AuthMode] #

Show AuthMode Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AuthMode

Methods

showsPrec :: Int -> AuthMode -> ShowS #

show :: AuthMode -> String #

showList :: [AuthMode] -> ShowS #

NFData AuthMode Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AuthMode

Methods

rnf :: AuthMode -> () #

Eq AuthMode Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AuthMode

Methods

(==) :: AuthMode -> AuthMode -> Bool #

(/=) :: AuthMode -> AuthMode -> Bool #

Ord AuthMode Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AuthMode

Methods

compare :: AuthMode -> AuthMode -> Ordering #

(<) :: AuthMode -> AuthMode -> Bool #

(<=) :: AuthMode -> AuthMode -> Bool #

(>) :: AuthMode -> AuthMode -> Bool #

(>=) :: AuthMode -> AuthMode -> Bool #

max :: AuthMode -> AuthMode -> AuthMode #

min :: AuthMode -> AuthMode -> AuthMode #

Hashable AuthMode Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AuthMode

Methods

hashWithSalt :: Int -> AuthMode -> Int #

hash :: AuthMode -> Int #

type Rep AuthMode Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AuthMode

type Rep AuthMode = D1 ('MetaData "AuthMode" "Amazonka.SageMaker.Types.AuthMode" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'True) (C1 ('MetaCons "AuthMode'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromAuthMode") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

AutoMLChannelType

newtype AutoMLChannelType Source #

Constructors

AutoMLChannelType' 

Fields

Bundled Patterns

pattern AutoMLChannelType_Training :: AutoMLChannelType 
pattern AutoMLChannelType_Validation :: AutoMLChannelType 

Instances

Instances details
FromJSON AutoMLChannelType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLChannelType

Methods

parseJSON :: Value -> Parser AutoMLChannelType #

parseJSONList :: Value -> Parser [AutoMLChannelType] #

FromJSONKey AutoMLChannelType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLChannelType

Methods

fromJSONKey :: FromJSONKeyFunction AutoMLChannelType #

fromJSONKeyList :: FromJSONKeyFunction [AutoMLChannelType] #

ToJSON AutoMLChannelType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLChannelType

Methods

toJSON :: AutoMLChannelType -> Value #

toEncoding :: AutoMLChannelType -> Encoding #

toJSONList :: [AutoMLChannelType] -> Value #

toEncodingList :: [AutoMLChannelType] -> Encoding #

ToJSONKey AutoMLChannelType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLChannelType

Methods

toJSONKey :: ToJSONKeyFunction AutoMLChannelType #

toJSONKeyList :: ToJSONKeyFunction [AutoMLChannelType] #

ToByteString AutoMLChannelType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLChannelType

Methods

toBS :: AutoMLChannelType -> ByteString #

ToHeader AutoMLChannelType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLChannelType

Methods

toHeader :: HeaderName -> AutoMLChannelType -> [Header] #

ToLog AutoMLChannelType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLChannelType

Methods

build :: AutoMLChannelType -> ByteStringBuilder #

ToQuery AutoMLChannelType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLChannelType

Methods

toQuery :: AutoMLChannelType -> QueryString #

FromText AutoMLChannelType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLChannelType

Methods

fromText :: Text -> Either String AutoMLChannelType #

ToText AutoMLChannelType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLChannelType

Methods

toText :: AutoMLChannelType -> Text #

FromXML AutoMLChannelType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLChannelType

Methods

parseXML :: [Node] -> Either String AutoMLChannelType #

ToXML AutoMLChannelType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLChannelType

Methods

toXML :: AutoMLChannelType -> XML #

Generic AutoMLChannelType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLChannelType

Associated Types

type Rep AutoMLChannelType :: Type -> Type #

Methods

from :: AutoMLChannelType -> Rep AutoMLChannelType x #

to :: Rep AutoMLChannelType x -> AutoMLChannelType #

Read AutoMLChannelType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLChannelType

Methods

readsPrec :: Int -> ReadS AutoMLChannelType #

readList :: ReadS [AutoMLChannelType] #

readPrec :: ReadPrec AutoMLChannelType #

readListPrec :: ReadPrec [AutoMLChannelType] #

Show AutoMLChannelType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLChannelType

Methods

showsPrec :: Int -> AutoMLChannelType -> ShowS #

show :: AutoMLChannelType -> String #

showList :: [AutoMLChannelType] -> ShowS #

NFData AutoMLChannelType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLChannelType

Methods

rnf :: AutoMLChannelType -> () #

Eq AutoMLChannelType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLChannelType

Methods

(==) :: AutoMLChannelType -> AutoMLChannelType -> Bool #

(/=) :: AutoMLChannelType -> AutoMLChannelType -> Bool #

Ord AutoMLChannelType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLChannelType

Methods

compare :: AutoMLChannelType -> AutoMLChannelType -> Ordering #

(<) :: AutoMLChannelType -> AutoMLChannelType -> Bool #

(<=) :: AutoMLChannelType -> AutoMLChannelType -> Bool #

(>) :: AutoMLChannelType -> AutoMLChannelType -> Bool #

(>=) :: AutoMLChannelType -> AutoMLChannelType -> Bool #

max :: AutoMLChannelType -> AutoMLChannelType -> AutoMLChannelType #

min :: AutoMLChannelType -> AutoMLChannelType -> AutoMLChannelType #

Hashable AutoMLChannelType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLChannelType

Methods

hashWithSalt :: Int -> AutoMLChannelType -> Int #

hash :: AutoMLChannelType -> Int #

type Rep AutoMLChannelType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLChannelType

type Rep AutoMLChannelType = D1 ('MetaData "AutoMLChannelType" "Amazonka.SageMaker.Types.AutoMLChannelType" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'True) (C1 ('MetaCons "AutoMLChannelType'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromAutoMLChannelType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

AutoMLJobObjectiveType

newtype AutoMLJobObjectiveType Source #

Constructors

AutoMLJobObjectiveType' 

Fields

Bundled Patterns

pattern AutoMLJobObjectiveType_Maximize :: AutoMLJobObjectiveType 
pattern AutoMLJobObjectiveType_Minimize :: AutoMLJobObjectiveType 

Instances

Instances details
FromJSON AutoMLJobObjectiveType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLJobObjectiveType

Methods

parseJSON :: Value -> Parser AutoMLJobObjectiveType #

parseJSONList :: Value -> Parser [AutoMLJobObjectiveType] #

FromJSONKey AutoMLJobObjectiveType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLJobObjectiveType

Methods

fromJSONKey :: FromJSONKeyFunction AutoMLJobObjectiveType #

fromJSONKeyList :: FromJSONKeyFunction [AutoMLJobObjectiveType] #

ToJSON AutoMLJobObjectiveType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLJobObjectiveType

Methods

toJSON :: AutoMLJobObjectiveType -> Value #

toEncoding :: AutoMLJobObjectiveType -> Encoding #

toJSONList :: [AutoMLJobObjectiveType] -> Value #

toEncodingList :: [AutoMLJobObjectiveType] -> Encoding #

ToJSONKey AutoMLJobObjectiveType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLJobObjectiveType

Methods

toJSONKey :: ToJSONKeyFunction AutoMLJobObjectiveType #

toJSONKeyList :: ToJSONKeyFunction [AutoMLJobObjectiveType] #

ToByteString AutoMLJobObjectiveType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLJobObjectiveType

Methods

toBS :: AutoMLJobObjectiveType -> ByteString #

ToHeader AutoMLJobObjectiveType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLJobObjectiveType

Methods

toHeader :: HeaderName -> AutoMLJobObjectiveType -> [Header] #

ToLog AutoMLJobObjectiveType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLJobObjectiveType

Methods

build :: AutoMLJobObjectiveType -> ByteStringBuilder #

ToQuery AutoMLJobObjectiveType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLJobObjectiveType

Methods

toQuery :: AutoMLJobObjectiveType -> QueryString #

FromText AutoMLJobObjectiveType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLJobObjectiveType

Methods

fromText :: Text -> Either String AutoMLJobObjectiveType #

ToText AutoMLJobObjectiveType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLJobObjectiveType

Methods

toText :: AutoMLJobObjectiveType -> Text #

FromXML AutoMLJobObjectiveType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLJobObjectiveType

Methods

parseXML :: [Node] -> Either String AutoMLJobObjectiveType #

ToXML AutoMLJobObjectiveType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLJobObjectiveType

Methods

toXML :: AutoMLJobObjectiveType -> XML #

Generic AutoMLJobObjectiveType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLJobObjectiveType

Associated Types

type Rep AutoMLJobObjectiveType :: Type -> Type #

Methods

from :: AutoMLJobObjectiveType -> Rep AutoMLJobObjectiveType x #

to :: Rep AutoMLJobObjectiveType x -> AutoMLJobObjectiveType #

Read AutoMLJobObjectiveType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLJobObjectiveType

Methods

readsPrec :: Int -> ReadS AutoMLJobObjectiveType #

readList :: ReadS [AutoMLJobObjectiveType] #

readPrec :: ReadPrec AutoMLJobObjectiveType #

readListPrec :: ReadPrec [AutoMLJobObjectiveType] #

Show AutoMLJobObjectiveType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLJobObjectiveType

Methods

showsPrec :: Int -> AutoMLJobObjectiveType -> ShowS #

show :: AutoMLJobObjectiveType -> String #

showList :: [AutoMLJobObjectiveType] -> ShowS #

NFData AutoMLJobObjectiveType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLJobObjectiveType

Methods

rnf :: AutoMLJobObjectiveType -> () #

Eq AutoMLJobObjectiveType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLJobObjectiveType

Methods

(==) :: AutoMLJobObjectiveType -> AutoMLJobObjectiveType -> Bool #

(/=) :: AutoMLJobObjectiveType -> AutoMLJobObjectiveType -> Bool #

Ord AutoMLJobObjectiveType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLJobObjectiveType

Methods

compare :: AutoMLJobObjectiveType -> AutoMLJobObjectiveType -> Ordering #

(<) :: AutoMLJobObjectiveType -> AutoMLJobObjectiveType -> Bool #

(<=) :: AutoMLJobObjectiveType -> AutoMLJobObjectiveType -> Bool #

(>) :: AutoMLJobObjectiveType -> AutoMLJobObjectiveType -> Bool #

(>=) :: AutoMLJobObjectiveType -> AutoMLJobObjectiveType -> Bool #

max :: AutoMLJobObjectiveType -> AutoMLJobObjectiveType -> AutoMLJobObjectiveType #

min :: AutoMLJobObjectiveType -> AutoMLJobObjectiveType -> AutoMLJobObjectiveType #

Hashable AutoMLJobObjectiveType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLJobObjectiveType

Methods

hashWithSalt :: Int -> AutoMLJobObjectiveType -> Int #

hash :: AutoMLJobObjectiveType -> Int #

type Rep AutoMLJobObjectiveType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLJobObjectiveType

type Rep AutoMLJobObjectiveType = D1 ('MetaData "AutoMLJobObjectiveType" "Amazonka.SageMaker.Types.AutoMLJobObjectiveType" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'True) (C1 ('MetaCons "AutoMLJobObjectiveType'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromAutoMLJobObjectiveType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

AutoMLJobSecondaryStatus

newtype AutoMLJobSecondaryStatus Source #

Constructors

AutoMLJobSecondaryStatus' 

Fields

Bundled Patterns

pattern AutoMLJobSecondaryStatus_AnalyzingData :: AutoMLJobSecondaryStatus 
pattern AutoMLJobSecondaryStatus_CandidateDefinitionsGenerated :: AutoMLJobSecondaryStatus 
pattern AutoMLJobSecondaryStatus_Completed :: AutoMLJobSecondaryStatus 
pattern AutoMLJobSecondaryStatus_DeployingModel :: AutoMLJobSecondaryStatus 
pattern AutoMLJobSecondaryStatus_ExplainabilityError :: AutoMLJobSecondaryStatus 
pattern AutoMLJobSecondaryStatus_Failed :: AutoMLJobSecondaryStatus 
pattern AutoMLJobSecondaryStatus_FeatureEngineering :: AutoMLJobSecondaryStatus 
pattern AutoMLJobSecondaryStatus_GeneratingExplainabilityReport :: AutoMLJobSecondaryStatus 
pattern AutoMLJobSecondaryStatus_GeneratingModelInsightsReport :: AutoMLJobSecondaryStatus 
pattern AutoMLJobSecondaryStatus_MaxAutoMLJobRuntimeReached :: AutoMLJobSecondaryStatus 
pattern AutoMLJobSecondaryStatus_MaxCandidatesReached :: AutoMLJobSecondaryStatus 
pattern AutoMLJobSecondaryStatus_ModelDeploymentError :: AutoMLJobSecondaryStatus 
pattern AutoMLJobSecondaryStatus_ModelInsightsError :: AutoMLJobSecondaryStatus 
pattern AutoMLJobSecondaryStatus_ModelTuning :: AutoMLJobSecondaryStatus 
pattern AutoMLJobSecondaryStatus_Starting :: AutoMLJobSecondaryStatus 
pattern AutoMLJobSecondaryStatus_Stopped :: AutoMLJobSecondaryStatus 
pattern AutoMLJobSecondaryStatus_Stopping :: AutoMLJobSecondaryStatus 

Instances

Instances details
FromJSON AutoMLJobSecondaryStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLJobSecondaryStatus

Methods

parseJSON :: Value -> Parser AutoMLJobSecondaryStatus #

parseJSONList :: Value -> Parser [AutoMLJobSecondaryStatus] #

FromJSONKey AutoMLJobSecondaryStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLJobSecondaryStatus

Methods

fromJSONKey :: FromJSONKeyFunction AutoMLJobSecondaryStatus #

fromJSONKeyList :: FromJSONKeyFunction [AutoMLJobSecondaryStatus] #

ToJSON AutoMLJobSecondaryStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLJobSecondaryStatus

Methods

toJSON :: AutoMLJobSecondaryStatus -> Value #

toEncoding :: AutoMLJobSecondaryStatus -> Encoding #

toJSONList :: [AutoMLJobSecondaryStatus] -> Value #

toEncodingList :: [AutoMLJobSecondaryStatus] -> Encoding #

ToJSONKey AutoMLJobSecondaryStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLJobSecondaryStatus

Methods

toJSONKey :: ToJSONKeyFunction AutoMLJobSecondaryStatus #

toJSONKeyList :: ToJSONKeyFunction [AutoMLJobSecondaryStatus] #

ToByteString AutoMLJobSecondaryStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLJobSecondaryStatus

Methods

toBS :: AutoMLJobSecondaryStatus -> ByteString #

ToHeader AutoMLJobSecondaryStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLJobSecondaryStatus

Methods

toHeader :: HeaderName -> AutoMLJobSecondaryStatus -> [Header] #

ToLog AutoMLJobSecondaryStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLJobSecondaryStatus

Methods

build :: AutoMLJobSecondaryStatus -> ByteStringBuilder #

ToQuery AutoMLJobSecondaryStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLJobSecondaryStatus

Methods

toQuery :: AutoMLJobSecondaryStatus -> QueryString #

FromText AutoMLJobSecondaryStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLJobSecondaryStatus

Methods

fromText :: Text -> Either String AutoMLJobSecondaryStatus #

ToText AutoMLJobSecondaryStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLJobSecondaryStatus

Methods

toText :: AutoMLJobSecondaryStatus -> Text #

FromXML AutoMLJobSecondaryStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLJobSecondaryStatus

Methods

parseXML :: [Node] -> Either String AutoMLJobSecondaryStatus #

ToXML AutoMLJobSecondaryStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLJobSecondaryStatus

Methods

toXML :: AutoMLJobSecondaryStatus -> XML #

Generic AutoMLJobSecondaryStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLJobSecondaryStatus

Associated Types

type Rep AutoMLJobSecondaryStatus :: Type -> Type #

Methods

from :: AutoMLJobSecondaryStatus -> Rep AutoMLJobSecondaryStatus x #

to :: Rep AutoMLJobSecondaryStatus x -> AutoMLJobSecondaryStatus #

Read AutoMLJobSecondaryStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLJobSecondaryStatus

Methods

readsPrec :: Int -> ReadS AutoMLJobSecondaryStatus #

readList :: ReadS [AutoMLJobSecondaryStatus] #

readPrec :: ReadPrec AutoMLJobSecondaryStatus #

readListPrec :: ReadPrec [AutoMLJobSecondaryStatus] #

Show AutoMLJobSecondaryStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLJobSecondaryStatus

Methods

showsPrec :: Int -> AutoMLJobSecondaryStatus -> ShowS #

show :: AutoMLJobSecondaryStatus -> String #

showList :: [AutoMLJobSecondaryStatus] -> ShowS #

NFData AutoMLJobSecondaryStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLJobSecondaryStatus

Methods

rnf :: AutoMLJobSecondaryStatus -> () #

Eq AutoMLJobSecondaryStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLJobSecondaryStatus

Methods

(==) :: AutoMLJobSecondaryStatus -> AutoMLJobSecondaryStatus -> Bool #

(/=) :: AutoMLJobSecondaryStatus -> AutoMLJobSecondaryStatus -> Bool #

Ord AutoMLJobSecondaryStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLJobSecondaryStatus

Methods

compare :: AutoMLJobSecondaryStatus -> AutoMLJobSecondaryStatus -> Ordering #

(<) :: AutoMLJobSecondaryStatus -> AutoMLJobSecondaryStatus -> Bool #

(<=) :: AutoMLJobSecondaryStatus -> AutoMLJobSecondaryStatus -> Bool #

(>) :: AutoMLJobSecondaryStatus -> AutoMLJobSecondaryStatus -> Bool #

(>=) :: AutoMLJobSecondaryStatus -> AutoMLJobSecondaryStatus -> Bool #

max :: AutoMLJobSecondaryStatus -> AutoMLJobSecondaryStatus -> AutoMLJobSecondaryStatus #

min :: AutoMLJobSecondaryStatus -> AutoMLJobSecondaryStatus -> AutoMLJobSecondaryStatus #

Hashable AutoMLJobSecondaryStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLJobSecondaryStatus

Methods

hashWithSalt :: Int -> AutoMLJobSecondaryStatus -> Int #

hash :: AutoMLJobSecondaryStatus -> Int #

type Rep AutoMLJobSecondaryStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLJobSecondaryStatus

type Rep AutoMLJobSecondaryStatus = D1 ('MetaData "AutoMLJobSecondaryStatus" "Amazonka.SageMaker.Types.AutoMLJobSecondaryStatus" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'True) (C1 ('MetaCons "AutoMLJobSecondaryStatus'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromAutoMLJobSecondaryStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

AutoMLJobStatus

newtype AutoMLJobStatus Source #

Constructors

AutoMLJobStatus' 

Fields

Bundled Patterns

pattern AutoMLJobStatus_Completed :: AutoMLJobStatus 
pattern AutoMLJobStatus_Failed :: AutoMLJobStatus 
pattern AutoMLJobStatus_InProgress :: AutoMLJobStatus 
pattern AutoMLJobStatus_Stopped :: AutoMLJobStatus 
pattern AutoMLJobStatus_Stopping :: AutoMLJobStatus 

Instances

Instances details
FromJSON AutoMLJobStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLJobStatus

Methods

parseJSON :: Value -> Parser AutoMLJobStatus #

parseJSONList :: Value -> Parser [AutoMLJobStatus] #

FromJSONKey AutoMLJobStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLJobStatus

Methods

fromJSONKey :: FromJSONKeyFunction AutoMLJobStatus #

fromJSONKeyList :: FromJSONKeyFunction [AutoMLJobStatus] #

ToJSON AutoMLJobStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLJobStatus

Methods

toJSON :: AutoMLJobStatus -> Value #

toEncoding :: AutoMLJobStatus -> Encoding #

toJSONList :: [AutoMLJobStatus] -> Value #

toEncodingList :: [AutoMLJobStatus] -> Encoding #

ToJSONKey AutoMLJobStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLJobStatus

Methods

toJSONKey :: ToJSONKeyFunction AutoMLJobStatus #

toJSONKeyList :: ToJSONKeyFunction [AutoMLJobStatus] #

ToByteString AutoMLJobStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLJobStatus

Methods

toBS :: AutoMLJobStatus -> ByteString #

ToHeader AutoMLJobStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLJobStatus

Methods

toHeader :: HeaderName -> AutoMLJobStatus -> [Header] #

ToLog AutoMLJobStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLJobStatus

Methods

build :: AutoMLJobStatus -> ByteStringBuilder #

ToQuery AutoMLJobStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLJobStatus

Methods

toQuery :: AutoMLJobStatus -> QueryString #

FromText AutoMLJobStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLJobStatus

Methods

fromText :: Text -> Either String AutoMLJobStatus #

ToText AutoMLJobStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLJobStatus

Methods

toText :: AutoMLJobStatus -> Text #

FromXML AutoMLJobStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLJobStatus

Methods

parseXML :: [Node] -> Either String AutoMLJobStatus #

ToXML AutoMLJobStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLJobStatus

Methods

toXML :: AutoMLJobStatus -> XML #

Generic AutoMLJobStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLJobStatus

Associated Types

type Rep AutoMLJobStatus :: Type -> Type #

Methods

from :: AutoMLJobStatus -> Rep AutoMLJobStatus x #

to :: Rep AutoMLJobStatus x -> AutoMLJobStatus #

Read AutoMLJobStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLJobStatus

Methods

readsPrec :: Int -> ReadS AutoMLJobStatus #

readList :: ReadS [AutoMLJobStatus] #

readPrec :: ReadPrec AutoMLJobStatus #

readListPrec :: ReadPrec [AutoMLJobStatus] #

Show AutoMLJobStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLJobStatus

Methods

showsPrec :: Int -> AutoMLJobStatus -> ShowS #

show :: AutoMLJobStatus -> String #

showList :: [AutoMLJobStatus] -> ShowS #

NFData AutoMLJobStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLJobStatus

Methods

rnf :: AutoMLJobStatus -> () #

Eq AutoMLJobStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLJobStatus

Methods

(==) :: AutoMLJobStatus -> AutoMLJobStatus -> Bool #

(/=) :: AutoMLJobStatus -> AutoMLJobStatus -> Bool #

Ord AutoMLJobStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLJobStatus

Methods

compare :: AutoMLJobStatus -> AutoMLJobStatus -> Ordering #

(<) :: AutoMLJobStatus -> AutoMLJobStatus -> Bool #

(<=) :: AutoMLJobStatus -> AutoMLJobStatus -> Bool #

(>) :: AutoMLJobStatus -> AutoMLJobStatus -> Bool #

(>=) :: AutoMLJobStatus -> AutoMLJobStatus -> Bool #

max :: AutoMLJobStatus -> AutoMLJobStatus -> AutoMLJobStatus #

min :: AutoMLJobStatus -> AutoMLJobStatus -> AutoMLJobStatus #

Hashable AutoMLJobStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLJobStatus

Methods

hashWithSalt :: Int -> AutoMLJobStatus -> Int #

hash :: AutoMLJobStatus -> Int #

type Rep AutoMLJobStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLJobStatus

type Rep AutoMLJobStatus = D1 ('MetaData "AutoMLJobStatus" "Amazonka.SageMaker.Types.AutoMLJobStatus" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'True) (C1 ('MetaCons "AutoMLJobStatus'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromAutoMLJobStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

AutoMLMetricEnum

newtype AutoMLMetricEnum Source #

Constructors

AutoMLMetricEnum' 

Fields

Bundled Patterns

pattern AutoMLMetricEnum_AUC :: AutoMLMetricEnum 
pattern AutoMLMetricEnum_Accuracy :: AutoMLMetricEnum 
pattern AutoMLMetricEnum_BalancedAccuracy :: AutoMLMetricEnum 
pattern AutoMLMetricEnum_F1 :: AutoMLMetricEnum 
pattern AutoMLMetricEnum_F1macro :: AutoMLMetricEnum 
pattern AutoMLMetricEnum_MAE :: AutoMLMetricEnum 
pattern AutoMLMetricEnum_MSE :: AutoMLMetricEnum 
pattern AutoMLMetricEnum_Precision :: AutoMLMetricEnum 
pattern AutoMLMetricEnum_PrecisionMacro :: AutoMLMetricEnum 
pattern AutoMLMetricEnum_R2 :: AutoMLMetricEnum 
pattern AutoMLMetricEnum_RMSE :: AutoMLMetricEnum 
pattern AutoMLMetricEnum_Recall :: AutoMLMetricEnum 
pattern AutoMLMetricEnum_RecallMacro :: AutoMLMetricEnum 

Instances

Instances details
FromJSON AutoMLMetricEnum Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLMetricEnum

Methods

parseJSON :: Value -> Parser AutoMLMetricEnum #

parseJSONList :: Value -> Parser [AutoMLMetricEnum] #

FromJSONKey AutoMLMetricEnum Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLMetricEnum

Methods

fromJSONKey :: FromJSONKeyFunction AutoMLMetricEnum #

fromJSONKeyList :: FromJSONKeyFunction [AutoMLMetricEnum] #

ToJSON AutoMLMetricEnum Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLMetricEnum

Methods

toJSON :: AutoMLMetricEnum -> Value #

toEncoding :: AutoMLMetricEnum -> Encoding #

toJSONList :: [AutoMLMetricEnum] -> Value #

toEncodingList :: [AutoMLMetricEnum] -> Encoding #

ToJSONKey AutoMLMetricEnum Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLMetricEnum

Methods

toJSONKey :: ToJSONKeyFunction AutoMLMetricEnum #

toJSONKeyList :: ToJSONKeyFunction [AutoMLMetricEnum] #

ToByteString AutoMLMetricEnum Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLMetricEnum

Methods

toBS :: AutoMLMetricEnum -> ByteString #

ToHeader AutoMLMetricEnum Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLMetricEnum

Methods

toHeader :: HeaderName -> AutoMLMetricEnum -> [Header] #

ToLog AutoMLMetricEnum Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLMetricEnum

Methods

build :: AutoMLMetricEnum -> ByteStringBuilder #

ToQuery AutoMLMetricEnum Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLMetricEnum

Methods

toQuery :: AutoMLMetricEnum -> QueryString #

FromText AutoMLMetricEnum Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLMetricEnum

Methods

fromText :: Text -> Either String AutoMLMetricEnum #

ToText AutoMLMetricEnum Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLMetricEnum

Methods

toText :: AutoMLMetricEnum -> Text #

FromXML AutoMLMetricEnum Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLMetricEnum

Methods

parseXML :: [Node] -> Either String AutoMLMetricEnum #

ToXML AutoMLMetricEnum Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLMetricEnum

Methods

toXML :: AutoMLMetricEnum -> XML #

Generic AutoMLMetricEnum Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLMetricEnum

Associated Types

type Rep AutoMLMetricEnum :: Type -> Type #

Methods

from :: AutoMLMetricEnum -> Rep AutoMLMetricEnum x #

to :: Rep AutoMLMetricEnum x -> AutoMLMetricEnum #

Read AutoMLMetricEnum Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLMetricEnum

Methods

readsPrec :: Int -> ReadS AutoMLMetricEnum #

readList :: ReadS [AutoMLMetricEnum] #

readPrec :: ReadPrec AutoMLMetricEnum #

readListPrec :: ReadPrec [AutoMLMetricEnum] #

Show AutoMLMetricEnum Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLMetricEnum

Methods

showsPrec :: Int -> AutoMLMetricEnum -> ShowS #

show :: AutoMLMetricEnum -> String #

showList :: [AutoMLMetricEnum] -> ShowS #

NFData AutoMLMetricEnum Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLMetricEnum

Methods

rnf :: AutoMLMetricEnum -> () #

Eq AutoMLMetricEnum Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLMetricEnum

Methods

(==) :: AutoMLMetricEnum -> AutoMLMetricEnum -> Bool #

(/=) :: AutoMLMetricEnum -> AutoMLMetricEnum -> Bool #

Ord AutoMLMetricEnum Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLMetricEnum

Methods

compare :: AutoMLMetricEnum -> AutoMLMetricEnum -> Ordering #

(<) :: AutoMLMetricEnum -> AutoMLMetricEnum -> Bool #

(<=) :: AutoMLMetricEnum -> AutoMLMetricEnum -> Bool #

(>) :: AutoMLMetricEnum -> AutoMLMetricEnum -> Bool #

(>=) :: AutoMLMetricEnum -> AutoMLMetricEnum -> Bool #

max :: AutoMLMetricEnum -> AutoMLMetricEnum -> AutoMLMetricEnum #

min :: AutoMLMetricEnum -> AutoMLMetricEnum -> AutoMLMetricEnum #

Hashable AutoMLMetricEnum Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLMetricEnum

Methods

hashWithSalt :: Int -> AutoMLMetricEnum -> Int #

hash :: AutoMLMetricEnum -> Int #

type Rep AutoMLMetricEnum Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLMetricEnum

type Rep AutoMLMetricEnum = D1 ('MetaData "AutoMLMetricEnum" "Amazonka.SageMaker.Types.AutoMLMetricEnum" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'True) (C1 ('MetaCons "AutoMLMetricEnum'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromAutoMLMetricEnum") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

AutoMLMetricExtendedEnum

newtype AutoMLMetricExtendedEnum Source #

Constructors

AutoMLMetricExtendedEnum' 

Fields

Bundled Patterns

pattern AutoMLMetricExtendedEnum_AUC :: AutoMLMetricExtendedEnum 
pattern AutoMLMetricExtendedEnum_Accuracy :: AutoMLMetricExtendedEnum 
pattern AutoMLMetricExtendedEnum_BalancedAccuracy :: AutoMLMetricExtendedEnum 
pattern AutoMLMetricExtendedEnum_F1 :: AutoMLMetricExtendedEnum 
pattern AutoMLMetricExtendedEnum_F1macro :: AutoMLMetricExtendedEnum 
pattern AutoMLMetricExtendedEnum_InferenceLatency :: AutoMLMetricExtendedEnum 
pattern AutoMLMetricExtendedEnum_LogLoss :: AutoMLMetricExtendedEnum 
pattern AutoMLMetricExtendedEnum_MAE :: AutoMLMetricExtendedEnum 
pattern AutoMLMetricExtendedEnum_MSE :: AutoMLMetricExtendedEnum 
pattern AutoMLMetricExtendedEnum_Precision :: AutoMLMetricExtendedEnum 
pattern AutoMLMetricExtendedEnum_PrecisionMacro :: AutoMLMetricExtendedEnum 
pattern AutoMLMetricExtendedEnum_R2 :: AutoMLMetricExtendedEnum 
pattern AutoMLMetricExtendedEnum_RMSE :: AutoMLMetricExtendedEnum 
pattern AutoMLMetricExtendedEnum_Recall :: AutoMLMetricExtendedEnum 
pattern AutoMLMetricExtendedEnum_RecallMacro :: AutoMLMetricExtendedEnum 

Instances

Instances details
FromJSON AutoMLMetricExtendedEnum Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLMetricExtendedEnum

Methods

parseJSON :: Value -> Parser AutoMLMetricExtendedEnum #

parseJSONList :: Value -> Parser [AutoMLMetricExtendedEnum] #

FromJSONKey AutoMLMetricExtendedEnum Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLMetricExtendedEnum

Methods

fromJSONKey :: FromJSONKeyFunction AutoMLMetricExtendedEnum #

fromJSONKeyList :: FromJSONKeyFunction [AutoMLMetricExtendedEnum] #

ToJSON AutoMLMetricExtendedEnum Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLMetricExtendedEnum

Methods

toJSON :: AutoMLMetricExtendedEnum -> Value #

toEncoding :: AutoMLMetricExtendedEnum -> Encoding #

toJSONList :: [AutoMLMetricExtendedEnum] -> Value #

toEncodingList :: [AutoMLMetricExtendedEnum] -> Encoding #

ToJSONKey AutoMLMetricExtendedEnum Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLMetricExtendedEnum

Methods

toJSONKey :: ToJSONKeyFunction AutoMLMetricExtendedEnum #

toJSONKeyList :: ToJSONKeyFunction [AutoMLMetricExtendedEnum] #

ToByteString AutoMLMetricExtendedEnum Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLMetricExtendedEnum

Methods

toBS :: AutoMLMetricExtendedEnum -> ByteString #

ToHeader AutoMLMetricExtendedEnum Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLMetricExtendedEnum

Methods

toHeader :: HeaderName -> AutoMLMetricExtendedEnum -> [Header] #

ToLog AutoMLMetricExtendedEnum Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLMetricExtendedEnum

Methods

build :: AutoMLMetricExtendedEnum -> ByteStringBuilder #

ToQuery AutoMLMetricExtendedEnum Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLMetricExtendedEnum

Methods

toQuery :: AutoMLMetricExtendedEnum -> QueryString #

FromText AutoMLMetricExtendedEnum Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLMetricExtendedEnum

Methods

fromText :: Text -> Either String AutoMLMetricExtendedEnum #

ToText AutoMLMetricExtendedEnum Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLMetricExtendedEnum

Methods

toText :: AutoMLMetricExtendedEnum -> Text #

FromXML AutoMLMetricExtendedEnum Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLMetricExtendedEnum

Methods

parseXML :: [Node] -> Either String AutoMLMetricExtendedEnum #

ToXML AutoMLMetricExtendedEnum Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLMetricExtendedEnum

Methods

toXML :: AutoMLMetricExtendedEnum -> XML #

Generic AutoMLMetricExtendedEnum Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLMetricExtendedEnum

Associated Types

type Rep AutoMLMetricExtendedEnum :: Type -> Type #

Methods

from :: AutoMLMetricExtendedEnum -> Rep AutoMLMetricExtendedEnum x #

to :: Rep AutoMLMetricExtendedEnum x -> AutoMLMetricExtendedEnum #

Read AutoMLMetricExtendedEnum Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLMetricExtendedEnum

Methods

readsPrec :: Int -> ReadS AutoMLMetricExtendedEnum #

readList :: ReadS [AutoMLMetricExtendedEnum] #

readPrec :: ReadPrec AutoMLMetricExtendedEnum #

readListPrec :: ReadPrec [AutoMLMetricExtendedEnum] #

Show AutoMLMetricExtendedEnum Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLMetricExtendedEnum

Methods

showsPrec :: Int -> AutoMLMetricExtendedEnum -> ShowS #

show :: AutoMLMetricExtendedEnum -> String #

showList :: [AutoMLMetricExtendedEnum] -> ShowS #

NFData AutoMLMetricExtendedEnum Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLMetricExtendedEnum

Methods

rnf :: AutoMLMetricExtendedEnum -> () #

Eq AutoMLMetricExtendedEnum Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLMetricExtendedEnum

Methods

(==) :: AutoMLMetricExtendedEnum -> AutoMLMetricExtendedEnum -> Bool #

(/=) :: AutoMLMetricExtendedEnum -> AutoMLMetricExtendedEnum -> Bool #

Ord AutoMLMetricExtendedEnum Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLMetricExtendedEnum

Methods

compare :: AutoMLMetricExtendedEnum -> AutoMLMetricExtendedEnum -> Ordering #

(<) :: AutoMLMetricExtendedEnum -> AutoMLMetricExtendedEnum -> Bool #

(<=) :: AutoMLMetricExtendedEnum -> AutoMLMetricExtendedEnum -> Bool #

(>) :: AutoMLMetricExtendedEnum -> AutoMLMetricExtendedEnum -> Bool #

(>=) :: AutoMLMetricExtendedEnum -> AutoMLMetricExtendedEnum -> Bool #

max :: AutoMLMetricExtendedEnum -> AutoMLMetricExtendedEnum -> AutoMLMetricExtendedEnum #

min :: AutoMLMetricExtendedEnum -> AutoMLMetricExtendedEnum -> AutoMLMetricExtendedEnum #

Hashable AutoMLMetricExtendedEnum Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLMetricExtendedEnum

Methods

hashWithSalt :: Int -> AutoMLMetricExtendedEnum -> Int #

hash :: AutoMLMetricExtendedEnum -> Int #

type Rep AutoMLMetricExtendedEnum Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLMetricExtendedEnum

type Rep AutoMLMetricExtendedEnum = D1 ('MetaData "AutoMLMetricExtendedEnum" "Amazonka.SageMaker.Types.AutoMLMetricExtendedEnum" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'True) (C1 ('MetaCons "AutoMLMetricExtendedEnum'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromAutoMLMetricExtendedEnum") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

AutoMLMode

newtype AutoMLMode Source #

Constructors

AutoMLMode' 

Fields

Bundled Patterns

pattern AutoMLMode_AUTO :: AutoMLMode 
pattern AutoMLMode_ENSEMBLING :: AutoMLMode 
pattern AutoMLMode_HYPERPARAMETER_TUNING :: AutoMLMode 

Instances

Instances details
FromJSON AutoMLMode Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLMode

Methods

parseJSON :: Value -> Parser AutoMLMode #

parseJSONList :: Value -> Parser [AutoMLMode] #

FromJSONKey AutoMLMode Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLMode

Methods

fromJSONKey :: FromJSONKeyFunction AutoMLMode #

fromJSONKeyList :: FromJSONKeyFunction [AutoMLMode] #

ToJSON AutoMLMode Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLMode

Methods

toJSON :: AutoMLMode -> Value #

toEncoding :: AutoMLMode -> Encoding #

toJSONList :: [AutoMLMode] -> Value #

toEncodingList :: [AutoMLMode] -> Encoding #

ToJSONKey AutoMLMode Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLMode

Methods

toJSONKey :: ToJSONKeyFunction AutoMLMode #

toJSONKeyList :: ToJSONKeyFunction [AutoMLMode] #

ToByteString AutoMLMode Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLMode

Methods

toBS :: AutoMLMode -> ByteString #

ToHeader AutoMLMode Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLMode

Methods

toHeader :: HeaderName -> AutoMLMode -> [Header] #

ToLog AutoMLMode Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLMode

Methods

build :: AutoMLMode -> ByteStringBuilder #

ToQuery AutoMLMode Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLMode

Methods

toQuery :: AutoMLMode -> QueryString #

FromText AutoMLMode Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLMode

Methods

fromText :: Text -> Either String AutoMLMode #

ToText AutoMLMode Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLMode

Methods

toText :: AutoMLMode -> Text #

FromXML AutoMLMode Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLMode

Methods

parseXML :: [Node] -> Either String AutoMLMode #

ToXML AutoMLMode Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLMode

Methods

toXML :: AutoMLMode -> XML #

Generic AutoMLMode Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLMode

Associated Types

type Rep AutoMLMode :: Type -> Type #

Methods

from :: AutoMLMode -> Rep AutoMLMode x #

to :: Rep AutoMLMode x -> AutoMLMode #

Read AutoMLMode Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLMode

Methods

readsPrec :: Int -> ReadS AutoMLMode #

readList :: ReadS [AutoMLMode] #

readPrec :: ReadPrec AutoMLMode #

readListPrec :: ReadPrec [AutoMLMode] #

Show AutoMLMode Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLMode

Methods

showsPrec :: Int -> AutoMLMode -> ShowS #

show :: AutoMLMode -> String #

showList :: [AutoMLMode] -> ShowS #

NFData AutoMLMode Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLMode

Methods

rnf :: AutoMLMode -> () #

Eq AutoMLMode Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLMode

Methods

(==) :: AutoMLMode -> AutoMLMode -> Bool #

(/=) :: AutoMLMode -> AutoMLMode -> Bool #

Ord AutoMLMode Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLMode

Methods

compare :: AutoMLMode -> AutoMLMode -> Ordering #

(<) :: AutoMLMode -> AutoMLMode -> Bool #

(<=) :: AutoMLMode -> AutoMLMode -> Bool #

(>) :: AutoMLMode -> AutoMLMode -> Bool #

(>=) :: AutoMLMode -> AutoMLMode -> Bool #

max :: AutoMLMode -> AutoMLMode -> AutoMLMode #

min :: AutoMLMode -> AutoMLMode -> AutoMLMode #

Hashable AutoMLMode Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLMode

Methods

hashWithSalt :: Int -> AutoMLMode -> Int #

hash :: AutoMLMode -> Int #

type Rep AutoMLMode Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLMode

type Rep AutoMLMode = D1 ('MetaData "AutoMLMode" "Amazonka.SageMaker.Types.AutoMLMode" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'True) (C1 ('MetaCons "AutoMLMode'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromAutoMLMode") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

AutoMLS3DataType

newtype AutoMLS3DataType Source #

Constructors

AutoMLS3DataType' 

Fields

Bundled Patterns

pattern AutoMLS3DataType_ManifestFile :: AutoMLS3DataType 
pattern AutoMLS3DataType_S3Prefix :: AutoMLS3DataType 

Instances

Instances details
FromJSON AutoMLS3DataType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLS3DataType

Methods

parseJSON :: Value -> Parser AutoMLS3DataType #

parseJSONList :: Value -> Parser [AutoMLS3DataType] #

FromJSONKey AutoMLS3DataType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLS3DataType

Methods

fromJSONKey :: FromJSONKeyFunction AutoMLS3DataType #

fromJSONKeyList :: FromJSONKeyFunction [AutoMLS3DataType] #

ToJSON AutoMLS3DataType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLS3DataType

Methods

toJSON :: AutoMLS3DataType -> Value #

toEncoding :: AutoMLS3DataType -> Encoding #

toJSONList :: [AutoMLS3DataType] -> Value #

toEncodingList :: [AutoMLS3DataType] -> Encoding #

ToJSONKey AutoMLS3DataType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLS3DataType

Methods

toJSONKey :: ToJSONKeyFunction AutoMLS3DataType #

toJSONKeyList :: ToJSONKeyFunction [AutoMLS3DataType] #

ToByteString AutoMLS3DataType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLS3DataType

Methods

toBS :: AutoMLS3DataType -> ByteString #

ToHeader AutoMLS3DataType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLS3DataType

Methods

toHeader :: HeaderName -> AutoMLS3DataType -> [Header] #

ToLog AutoMLS3DataType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLS3DataType

Methods

build :: AutoMLS3DataType -> ByteStringBuilder #

ToQuery AutoMLS3DataType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLS3DataType

Methods

toQuery :: AutoMLS3DataType -> QueryString #

FromText AutoMLS3DataType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLS3DataType

Methods

fromText :: Text -> Either String AutoMLS3DataType #

ToText AutoMLS3DataType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLS3DataType

Methods

toText :: AutoMLS3DataType -> Text #

FromXML AutoMLS3DataType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLS3DataType

Methods

parseXML :: [Node] -> Either String AutoMLS3DataType #

ToXML AutoMLS3DataType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLS3DataType

Methods

toXML :: AutoMLS3DataType -> XML #

Generic AutoMLS3DataType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLS3DataType

Associated Types

type Rep AutoMLS3DataType :: Type -> Type #

Methods

from :: AutoMLS3DataType -> Rep AutoMLS3DataType x #

to :: Rep AutoMLS3DataType x -> AutoMLS3DataType #

Read AutoMLS3DataType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLS3DataType

Methods

readsPrec :: Int -> ReadS AutoMLS3DataType #

readList :: ReadS [AutoMLS3DataType] #

readPrec :: ReadPrec AutoMLS3DataType #

readListPrec :: ReadPrec [AutoMLS3DataType] #

Show AutoMLS3DataType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLS3DataType

Methods

showsPrec :: Int -> AutoMLS3DataType -> ShowS #

show :: AutoMLS3DataType -> String #

showList :: [AutoMLS3DataType] -> ShowS #

NFData AutoMLS3DataType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLS3DataType

Methods

rnf :: AutoMLS3DataType -> () #

Eq AutoMLS3DataType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLS3DataType

Methods

(==) :: AutoMLS3DataType -> AutoMLS3DataType -> Bool #

(/=) :: AutoMLS3DataType -> AutoMLS3DataType -> Bool #

Ord AutoMLS3DataType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLS3DataType

Methods

compare :: AutoMLS3DataType -> AutoMLS3DataType -> Ordering #

(<) :: AutoMLS3DataType -> AutoMLS3DataType -> Bool #

(<=) :: AutoMLS3DataType -> AutoMLS3DataType -> Bool #

(>) :: AutoMLS3DataType -> AutoMLS3DataType -> Bool #

(>=) :: AutoMLS3DataType -> AutoMLS3DataType -> Bool #

max :: AutoMLS3DataType -> AutoMLS3DataType -> AutoMLS3DataType #

min :: AutoMLS3DataType -> AutoMLS3DataType -> AutoMLS3DataType #

Hashable AutoMLS3DataType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLS3DataType

Methods

hashWithSalt :: Int -> AutoMLS3DataType -> Int #

hash :: AutoMLS3DataType -> Int #

type Rep AutoMLS3DataType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLS3DataType

type Rep AutoMLS3DataType = D1 ('MetaData "AutoMLS3DataType" "Amazonka.SageMaker.Types.AutoMLS3DataType" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'True) (C1 ('MetaCons "AutoMLS3DataType'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromAutoMLS3DataType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

AutoMLSortBy

newtype AutoMLSortBy Source #

Constructors

AutoMLSortBy' 

Fields

Bundled Patterns

pattern AutoMLSortBy_CreationTime :: AutoMLSortBy 
pattern AutoMLSortBy_Name :: AutoMLSortBy 
pattern AutoMLSortBy_Status :: AutoMLSortBy 

Instances

Instances details
FromJSON AutoMLSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLSortBy

Methods

parseJSON :: Value -> Parser AutoMLSortBy #

parseJSONList :: Value -> Parser [AutoMLSortBy] #

FromJSONKey AutoMLSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLSortBy

Methods

fromJSONKey :: FromJSONKeyFunction AutoMLSortBy #

fromJSONKeyList :: FromJSONKeyFunction [AutoMLSortBy] #

ToJSON AutoMLSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLSortBy

Methods

toJSON :: AutoMLSortBy -> Value #

toEncoding :: AutoMLSortBy -> Encoding #

toJSONList :: [AutoMLSortBy] -> Value #

toEncodingList :: [AutoMLSortBy] -> Encoding #

ToJSONKey AutoMLSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLSortBy

Methods

toJSONKey :: ToJSONKeyFunction AutoMLSortBy #

toJSONKeyList :: ToJSONKeyFunction [AutoMLSortBy] #

ToByteString AutoMLSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLSortBy

Methods

toBS :: AutoMLSortBy -> ByteString #

ToHeader AutoMLSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLSortBy

Methods

toHeader :: HeaderName -> AutoMLSortBy -> [Header] #

ToLog AutoMLSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLSortBy

Methods

build :: AutoMLSortBy -> ByteStringBuilder #

ToQuery AutoMLSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLSortBy

Methods

toQuery :: AutoMLSortBy -> QueryString #

FromText AutoMLSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLSortBy

Methods

fromText :: Text -> Either String AutoMLSortBy #

ToText AutoMLSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLSortBy

Methods

toText :: AutoMLSortBy -> Text #

FromXML AutoMLSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLSortBy

Methods

parseXML :: [Node] -> Either String AutoMLSortBy #

ToXML AutoMLSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLSortBy

Methods

toXML :: AutoMLSortBy -> XML #

Generic AutoMLSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLSortBy

Associated Types

type Rep AutoMLSortBy :: Type -> Type #

Methods

from :: AutoMLSortBy -> Rep AutoMLSortBy x #

to :: Rep AutoMLSortBy x -> AutoMLSortBy #

Read AutoMLSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLSortBy

Methods

readsPrec :: Int -> ReadS AutoMLSortBy #

readList :: ReadS [AutoMLSortBy] #

readPrec :: ReadPrec AutoMLSortBy #

readListPrec :: ReadPrec [AutoMLSortBy] #

Show AutoMLSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLSortBy

Methods

showsPrec :: Int -> AutoMLSortBy -> ShowS #

show :: AutoMLSortBy -> String #

showList :: [AutoMLSortBy] -> ShowS #

NFData AutoMLSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLSortBy

Methods

rnf :: AutoMLSortBy -> () #

Eq AutoMLSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLSortBy

Methods

(==) :: AutoMLSortBy -> AutoMLSortBy -> Bool #

(/=) :: AutoMLSortBy -> AutoMLSortBy -> Bool #

Ord AutoMLSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLSortBy

Methods

compare :: AutoMLSortBy -> AutoMLSortBy -> Ordering #

(<) :: AutoMLSortBy -> AutoMLSortBy -> Bool #

(<=) :: AutoMLSortBy -> AutoMLSortBy -> Bool #

(>) :: AutoMLSortBy -> AutoMLSortBy -> Bool #

(>=) :: AutoMLSortBy -> AutoMLSortBy -> Bool #

max :: AutoMLSortBy -> AutoMLSortBy -> AutoMLSortBy #

min :: AutoMLSortBy -> AutoMLSortBy -> AutoMLSortBy #

Hashable AutoMLSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLSortBy

Methods

hashWithSalt :: Int -> AutoMLSortBy -> Int #

hash :: AutoMLSortBy -> Int #

type Rep AutoMLSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLSortBy

type Rep AutoMLSortBy = D1 ('MetaData "AutoMLSortBy" "Amazonka.SageMaker.Types.AutoMLSortBy" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'True) (C1 ('MetaCons "AutoMLSortBy'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromAutoMLSortBy") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

AutoMLSortOrder

newtype AutoMLSortOrder Source #

Constructors

AutoMLSortOrder' 

Fields

Bundled Patterns

pattern AutoMLSortOrder_Ascending :: AutoMLSortOrder 
pattern AutoMLSortOrder_Descending :: AutoMLSortOrder 

Instances

Instances details
FromJSON AutoMLSortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLSortOrder

Methods

parseJSON :: Value -> Parser AutoMLSortOrder #

parseJSONList :: Value -> Parser [AutoMLSortOrder] #

FromJSONKey AutoMLSortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLSortOrder

Methods

fromJSONKey :: FromJSONKeyFunction AutoMLSortOrder #

fromJSONKeyList :: FromJSONKeyFunction [AutoMLSortOrder] #

ToJSON AutoMLSortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLSortOrder

Methods

toJSON :: AutoMLSortOrder -> Value #

toEncoding :: AutoMLSortOrder -> Encoding #

toJSONList :: [AutoMLSortOrder] -> Value #

toEncodingList :: [AutoMLSortOrder] -> Encoding #

ToJSONKey AutoMLSortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLSortOrder

Methods

toJSONKey :: ToJSONKeyFunction AutoMLSortOrder #

toJSONKeyList :: ToJSONKeyFunction [AutoMLSortOrder] #

ToByteString AutoMLSortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLSortOrder

Methods

toBS :: AutoMLSortOrder -> ByteString #

ToHeader AutoMLSortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLSortOrder

Methods

toHeader :: HeaderName -> AutoMLSortOrder -> [Header] #

ToLog AutoMLSortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLSortOrder

Methods

build :: AutoMLSortOrder -> ByteStringBuilder #

ToQuery AutoMLSortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLSortOrder

Methods

toQuery :: AutoMLSortOrder -> QueryString #

FromText AutoMLSortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLSortOrder

Methods

fromText :: Text -> Either String AutoMLSortOrder #

ToText AutoMLSortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLSortOrder

Methods

toText :: AutoMLSortOrder -> Text #

FromXML AutoMLSortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLSortOrder

Methods

parseXML :: [Node] -> Either String AutoMLSortOrder #

ToXML AutoMLSortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLSortOrder

Methods

toXML :: AutoMLSortOrder -> XML #

Generic AutoMLSortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLSortOrder

Associated Types

type Rep AutoMLSortOrder :: Type -> Type #

Methods

from :: AutoMLSortOrder -> Rep AutoMLSortOrder x #

to :: Rep AutoMLSortOrder x -> AutoMLSortOrder #

Read AutoMLSortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLSortOrder

Methods

readsPrec :: Int -> ReadS AutoMLSortOrder #

readList :: ReadS [AutoMLSortOrder] #

readPrec :: ReadPrec AutoMLSortOrder #

readListPrec :: ReadPrec [AutoMLSortOrder] #

Show AutoMLSortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLSortOrder

Methods

showsPrec :: Int -> AutoMLSortOrder -> ShowS #

show :: AutoMLSortOrder -> String #

showList :: [AutoMLSortOrder] -> ShowS #

NFData AutoMLSortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLSortOrder

Methods

rnf :: AutoMLSortOrder -> () #

Eq AutoMLSortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLSortOrder

Methods

(==) :: AutoMLSortOrder -> AutoMLSortOrder -> Bool #

(/=) :: AutoMLSortOrder -> AutoMLSortOrder -> Bool #

Ord AutoMLSortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLSortOrder

Methods

compare :: AutoMLSortOrder -> AutoMLSortOrder -> Ordering #

(<) :: AutoMLSortOrder -> AutoMLSortOrder -> Bool #

(<=) :: AutoMLSortOrder -> AutoMLSortOrder -> Bool #

(>) :: AutoMLSortOrder -> AutoMLSortOrder -> Bool #

(>=) :: AutoMLSortOrder -> AutoMLSortOrder -> Bool #

max :: AutoMLSortOrder -> AutoMLSortOrder -> AutoMLSortOrder #

min :: AutoMLSortOrder -> AutoMLSortOrder -> AutoMLSortOrder #

Hashable AutoMLSortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLSortOrder

Methods

hashWithSalt :: Int -> AutoMLSortOrder -> Int #

hash :: AutoMLSortOrder -> Int #

type Rep AutoMLSortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLSortOrder

type Rep AutoMLSortOrder = D1 ('MetaData "AutoMLSortOrder" "Amazonka.SageMaker.Types.AutoMLSortOrder" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'True) (C1 ('MetaCons "AutoMLSortOrder'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromAutoMLSortOrder") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

AwsManagedHumanLoopRequestSource

newtype AwsManagedHumanLoopRequestSource Source #

Constructors

AwsManagedHumanLoopRequestSource' 

Fields

Bundled Patterns

pattern AwsManagedHumanLoopRequestSource_AWS_Rekognition_DetectModerationLabels_Image_V3 :: AwsManagedHumanLoopRequestSource 
pattern AwsManagedHumanLoopRequestSource_AWS_Textract_AnalyzeDocument_Forms_V1 :: AwsManagedHumanLoopRequestSource 

Instances

Instances details
FromJSON AwsManagedHumanLoopRequestSource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AwsManagedHumanLoopRequestSource

Methods

parseJSON :: Value -> Parser AwsManagedHumanLoopRequestSource #

parseJSONList :: Value -> Parser [AwsManagedHumanLoopRequestSource] #

FromJSONKey AwsManagedHumanLoopRequestSource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AwsManagedHumanLoopRequestSource

Methods

fromJSONKey :: FromJSONKeyFunction AwsManagedHumanLoopRequestSource #

fromJSONKeyList :: FromJSONKeyFunction [AwsManagedHumanLoopRequestSource] #

ToJSON AwsManagedHumanLoopRequestSource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AwsManagedHumanLoopRequestSource

Methods

toJSON :: AwsManagedHumanLoopRequestSource -> Value #

toEncoding :: AwsManagedHumanLoopRequestSource -> Encoding #

toJSONList :: [AwsManagedHumanLoopRequestSource] -> Value #

toEncodingList :: [AwsManagedHumanLoopRequestSource] -> Encoding #

ToJSONKey AwsManagedHumanLoopRequestSource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AwsManagedHumanLoopRequestSource

Methods

toJSONKey :: ToJSONKeyFunction AwsManagedHumanLoopRequestSource #

toJSONKeyList :: ToJSONKeyFunction [AwsManagedHumanLoopRequestSource] #

ToByteString AwsManagedHumanLoopRequestSource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AwsManagedHumanLoopRequestSource

Methods

toBS :: AwsManagedHumanLoopRequestSource -> ByteString #

ToHeader AwsManagedHumanLoopRequestSource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AwsManagedHumanLoopRequestSource

Methods

toHeader :: HeaderName -> AwsManagedHumanLoopRequestSource -> [Header] #

ToLog AwsManagedHumanLoopRequestSource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AwsManagedHumanLoopRequestSource

Methods

build :: AwsManagedHumanLoopRequestSource -> ByteStringBuilder #

ToQuery AwsManagedHumanLoopRequestSource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AwsManagedHumanLoopRequestSource

Methods

toQuery :: AwsManagedHumanLoopRequestSource -> QueryString #

FromText AwsManagedHumanLoopRequestSource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AwsManagedHumanLoopRequestSource

Methods

fromText :: Text -> Either String AwsManagedHumanLoopRequestSource #

ToText AwsManagedHumanLoopRequestSource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AwsManagedHumanLoopRequestSource

Methods

toText :: AwsManagedHumanLoopRequestSource -> Text #

FromXML AwsManagedHumanLoopRequestSource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AwsManagedHumanLoopRequestSource

Methods

parseXML :: [Node] -> Either String AwsManagedHumanLoopRequestSource #

ToXML AwsManagedHumanLoopRequestSource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AwsManagedHumanLoopRequestSource

Methods

toXML :: AwsManagedHumanLoopRequestSource -> XML #

Generic AwsManagedHumanLoopRequestSource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AwsManagedHumanLoopRequestSource

Associated Types

type Rep AwsManagedHumanLoopRequestSource :: Type -> Type #

Methods

from :: AwsManagedHumanLoopRequestSource -> Rep AwsManagedHumanLoopRequestSource x #

to :: Rep AwsManagedHumanLoopRequestSource x -> AwsManagedHumanLoopRequestSource #

Read AwsManagedHumanLoopRequestSource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AwsManagedHumanLoopRequestSource

Methods

readsPrec :: Int -> ReadS AwsManagedHumanLoopRequestSource #

readList :: ReadS [AwsManagedHumanLoopRequestSource] #

readPrec :: ReadPrec AwsManagedHumanLoopRequestSource #

readListPrec :: ReadPrec [AwsManagedHumanLoopRequestSource] #

Show AwsManagedHumanLoopRequestSource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AwsManagedHumanLoopRequestSource

Methods

showsPrec :: Int -> AwsManagedHumanLoopRequestSource -> ShowS #

show :: AwsManagedHumanLoopRequestSource -> String #

showList :: [AwsManagedHumanLoopRequestSource] -> ShowS #

NFData AwsManagedHumanLoopRequestSource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AwsManagedHumanLoopRequestSource

Methods

rnf :: AwsManagedHumanLoopRequestSource -> () #

Eq AwsManagedHumanLoopRequestSource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AwsManagedHumanLoopRequestSource

Methods

(==) :: AwsManagedHumanLoopRequestSource -> AwsManagedHumanLoopRequestSource -> Bool #

(/=) :: AwsManagedHumanLoopRequestSource -> AwsManagedHumanLoopRequestSource -> Bool #

Ord AwsManagedHumanLoopRequestSource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AwsManagedHumanLoopRequestSource

Methods

compare :: AwsManagedHumanLoopRequestSource -> AwsManagedHumanLoopRequestSource -> Ordering #

(<) :: AwsManagedHumanLoopRequestSource -> AwsManagedHumanLoopRequestSource -> Bool #

(<=) :: AwsManagedHumanLoopRequestSource -> AwsManagedHumanLoopRequestSource -> Bool #

(>) :: AwsManagedHumanLoopRequestSource -> AwsManagedHumanLoopRequestSource -> Bool #

(>=) :: AwsManagedHumanLoopRequestSource -> AwsManagedHumanLoopRequestSource -> Bool #

max :: AwsManagedHumanLoopRequestSource -> AwsManagedHumanLoopRequestSource -> AwsManagedHumanLoopRequestSource #

min :: AwsManagedHumanLoopRequestSource -> AwsManagedHumanLoopRequestSource -> AwsManagedHumanLoopRequestSource #

Hashable AwsManagedHumanLoopRequestSource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AwsManagedHumanLoopRequestSource

Methods

hashWithSalt :: Int -> AwsManagedHumanLoopRequestSource -> Int #

hash :: AwsManagedHumanLoopRequestSource -> Int #

type Rep AwsManagedHumanLoopRequestSource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AwsManagedHumanLoopRequestSource

type Rep AwsManagedHumanLoopRequestSource = D1 ('MetaData "AwsManagedHumanLoopRequestSource" "Amazonka.SageMaker.Types.AwsManagedHumanLoopRequestSource" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'True) (C1 ('MetaCons "AwsManagedHumanLoopRequestSource'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromAwsManagedHumanLoopRequestSource") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

BatchStrategy

newtype BatchStrategy Source #

Constructors

BatchStrategy' 

Fields

Bundled Patterns

pattern BatchStrategy_MultiRecord :: BatchStrategy 
pattern BatchStrategy_SingleRecord :: BatchStrategy 

Instances

Instances details
FromJSON BatchStrategy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.BatchStrategy

Methods

parseJSON :: Value -> Parser BatchStrategy #

parseJSONList :: Value -> Parser [BatchStrategy] #

FromJSONKey BatchStrategy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.BatchStrategy

Methods

fromJSONKey :: FromJSONKeyFunction BatchStrategy #

fromJSONKeyList :: FromJSONKeyFunction [BatchStrategy] #

ToJSON BatchStrategy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.BatchStrategy

Methods

toJSON :: BatchStrategy -> Value #

toEncoding :: BatchStrategy -> Encoding #

toJSONList :: [BatchStrategy] -> Value #

toEncodingList :: [BatchStrategy] -> Encoding #

ToJSONKey BatchStrategy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.BatchStrategy

Methods

toJSONKey :: ToJSONKeyFunction BatchStrategy #

toJSONKeyList :: ToJSONKeyFunction [BatchStrategy] #

ToByteString BatchStrategy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.BatchStrategy

Methods

toBS :: BatchStrategy -> ByteString #

ToHeader BatchStrategy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.BatchStrategy

Methods

toHeader :: HeaderName -> BatchStrategy -> [Header] #

ToLog BatchStrategy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.BatchStrategy

Methods

build :: BatchStrategy -> ByteStringBuilder #

ToQuery BatchStrategy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.BatchStrategy

Methods

toQuery :: BatchStrategy -> QueryString #

FromText BatchStrategy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.BatchStrategy

Methods

fromText :: Text -> Either String BatchStrategy #

ToText BatchStrategy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.BatchStrategy

Methods

toText :: BatchStrategy -> Text #

FromXML BatchStrategy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.BatchStrategy

Methods

parseXML :: [Node] -> Either String BatchStrategy #

ToXML BatchStrategy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.BatchStrategy

Methods

toXML :: BatchStrategy -> XML #

Generic BatchStrategy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.BatchStrategy

Associated Types

type Rep BatchStrategy :: Type -> Type #

Methods

from :: BatchStrategy -> Rep BatchStrategy x #

to :: Rep BatchStrategy x -> BatchStrategy #

Read BatchStrategy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.BatchStrategy

Methods

readsPrec :: Int -> ReadS BatchStrategy #

readList :: ReadS [BatchStrategy] #

readPrec :: ReadPrec BatchStrategy #

readListPrec :: ReadPrec [BatchStrategy] #

Show BatchStrategy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.BatchStrategy

Methods

showsPrec :: Int -> BatchStrategy -> ShowS #

show :: BatchStrategy -> String #

showList :: [BatchStrategy] -> ShowS #

NFData BatchStrategy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.BatchStrategy

Methods

rnf :: BatchStrategy -> () #

Eq BatchStrategy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.BatchStrategy

Methods

(==) :: BatchStrategy -> BatchStrategy -> Bool #

(/=) :: BatchStrategy -> BatchStrategy -> Bool #

Ord BatchStrategy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.BatchStrategy

Methods

compare :: BatchStrategy -> BatchStrategy -> Ordering #

(<) :: BatchStrategy -> BatchStrategy -> Bool #

(<=) :: BatchStrategy -> BatchStrategy -> Bool #

(>) :: BatchStrategy -> BatchStrategy -> Bool #

(>=) :: BatchStrategy -> BatchStrategy -> Bool #

max :: BatchStrategy -> BatchStrategy -> BatchStrategy #

min :: BatchStrategy -> BatchStrategy -> BatchStrategy #

Hashable BatchStrategy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.BatchStrategy

Methods

hashWithSalt :: Int -> BatchStrategy -> Int #

hash :: BatchStrategy -> Int #

type Rep BatchStrategy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.BatchStrategy

type Rep BatchStrategy = D1 ('MetaData "BatchStrategy" "Amazonka.SageMaker.Types.BatchStrategy" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'True) (C1 ('MetaCons "BatchStrategy'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromBatchStrategy") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

BooleanOperator

newtype BooleanOperator Source #

Constructors

BooleanOperator' 

Fields

Bundled Patterns

pattern BooleanOperator_And :: BooleanOperator 
pattern BooleanOperator_Or :: BooleanOperator 

Instances

Instances details
FromJSON BooleanOperator Source # 
Instance details

Defined in Amazonka.SageMaker.Types.BooleanOperator

Methods

parseJSON :: Value -> Parser BooleanOperator #

parseJSONList :: Value -> Parser [BooleanOperator] #

FromJSONKey BooleanOperator Source # 
Instance details

Defined in Amazonka.SageMaker.Types.BooleanOperator

Methods

fromJSONKey :: FromJSONKeyFunction BooleanOperator #

fromJSONKeyList :: FromJSONKeyFunction [BooleanOperator] #

ToJSON BooleanOperator Source # 
Instance details

Defined in Amazonka.SageMaker.Types.BooleanOperator

Methods

toJSON :: BooleanOperator -> Value #

toEncoding :: BooleanOperator -> Encoding #

toJSONList :: [BooleanOperator] -> Value #

toEncodingList :: [BooleanOperator] -> Encoding #

ToJSONKey BooleanOperator Source # 
Instance details

Defined in Amazonka.SageMaker.Types.BooleanOperator

Methods

toJSONKey :: ToJSONKeyFunction BooleanOperator #

toJSONKeyList :: ToJSONKeyFunction [BooleanOperator] #

ToByteString BooleanOperator Source # 
Instance details

Defined in Amazonka.SageMaker.Types.BooleanOperator

Methods

toBS :: BooleanOperator -> ByteString #

ToHeader BooleanOperator Source # 
Instance details

Defined in Amazonka.SageMaker.Types.BooleanOperator

Methods

toHeader :: HeaderName -> BooleanOperator -> [Header] #

ToLog BooleanOperator Source # 
Instance details

Defined in Amazonka.SageMaker.Types.BooleanOperator

Methods

build :: BooleanOperator -> ByteStringBuilder #

ToQuery BooleanOperator Source # 
Instance details

Defined in Amazonka.SageMaker.Types.BooleanOperator

Methods

toQuery :: BooleanOperator -> QueryString #

FromText BooleanOperator Source # 
Instance details

Defined in Amazonka.SageMaker.Types.BooleanOperator

Methods

fromText :: Text -> Either String BooleanOperator #

ToText BooleanOperator Source # 
Instance details

Defined in Amazonka.SageMaker.Types.BooleanOperator

Methods

toText :: BooleanOperator -> Text #

FromXML BooleanOperator Source # 
Instance details

Defined in Amazonka.SageMaker.Types.BooleanOperator

Methods

parseXML :: [Node] -> Either String BooleanOperator #

ToXML BooleanOperator Source # 
Instance details

Defined in Amazonka.SageMaker.Types.BooleanOperator

Methods

toXML :: BooleanOperator -> XML #

Generic BooleanOperator Source # 
Instance details

Defined in Amazonka.SageMaker.Types.BooleanOperator

Associated Types

type Rep BooleanOperator :: Type -> Type #

Methods

from :: BooleanOperator -> Rep BooleanOperator x #

to :: Rep BooleanOperator x -> BooleanOperator #

Read BooleanOperator Source # 
Instance details

Defined in Amazonka.SageMaker.Types.BooleanOperator

Methods

readsPrec :: Int -> ReadS BooleanOperator #

readList :: ReadS [BooleanOperator] #

readPrec :: ReadPrec BooleanOperator #

readListPrec :: ReadPrec [BooleanOperator] #

Show BooleanOperator Source # 
Instance details

Defined in Amazonka.SageMaker.Types.BooleanOperator

Methods

showsPrec :: Int -> BooleanOperator -> ShowS #

show :: BooleanOperator -> String #

showList :: [BooleanOperator] -> ShowS #

NFData BooleanOperator Source # 
Instance details

Defined in Amazonka.SageMaker.Types.BooleanOperator

Methods

rnf :: BooleanOperator -> () #

Eq BooleanOperator Source # 
Instance details

Defined in Amazonka.SageMaker.Types.BooleanOperator

Methods

(==) :: BooleanOperator -> BooleanOperator -> Bool #

(/=) :: BooleanOperator -> BooleanOperator -> Bool #

Ord BooleanOperator Source # 
Instance details

Defined in Amazonka.SageMaker.Types.BooleanOperator

Methods

compare :: BooleanOperator -> BooleanOperator -> Ordering #

(<) :: BooleanOperator -> BooleanOperator -> Bool #

(<=) :: BooleanOperator -> BooleanOperator -> Bool #

(>) :: BooleanOperator -> BooleanOperator -> Bool #

(>=) :: BooleanOperator -> BooleanOperator -> Bool #

max :: BooleanOperator -> BooleanOperator -> BooleanOperator #

min :: BooleanOperator -> BooleanOperator -> BooleanOperator #

Hashable BooleanOperator Source # 
Instance details

Defined in Amazonka.SageMaker.Types.BooleanOperator

Methods

hashWithSalt :: Int -> BooleanOperator -> Int #

hash :: BooleanOperator -> Int #

type Rep BooleanOperator Source # 
Instance details

Defined in Amazonka.SageMaker.Types.BooleanOperator

type Rep BooleanOperator = D1 ('MetaData "BooleanOperator" "Amazonka.SageMaker.Types.BooleanOperator" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'True) (C1 ('MetaCons "BooleanOperator'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromBooleanOperator") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

CandidateSortBy

newtype CandidateSortBy Source #

Constructors

CandidateSortBy' 

Fields

Bundled Patterns

pattern CandidateSortBy_CreationTime :: CandidateSortBy 
pattern CandidateSortBy_FinalObjectiveMetricValue :: CandidateSortBy 
pattern CandidateSortBy_Status :: CandidateSortBy 

Instances

Instances details
FromJSON CandidateSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CandidateSortBy

Methods

parseJSON :: Value -> Parser CandidateSortBy #

parseJSONList :: Value -> Parser [CandidateSortBy] #

FromJSONKey CandidateSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CandidateSortBy

Methods

fromJSONKey :: FromJSONKeyFunction CandidateSortBy #

fromJSONKeyList :: FromJSONKeyFunction [CandidateSortBy] #

ToJSON CandidateSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CandidateSortBy

Methods

toJSON :: CandidateSortBy -> Value #

toEncoding :: CandidateSortBy -> Encoding #

toJSONList :: [CandidateSortBy] -> Value #

toEncodingList :: [CandidateSortBy] -> Encoding #

ToJSONKey CandidateSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CandidateSortBy

Methods

toJSONKey :: ToJSONKeyFunction CandidateSortBy #

toJSONKeyList :: ToJSONKeyFunction [CandidateSortBy] #

ToByteString CandidateSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CandidateSortBy

Methods

toBS :: CandidateSortBy -> ByteString #

ToHeader CandidateSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CandidateSortBy

Methods

toHeader :: HeaderName -> CandidateSortBy -> [Header] #

ToLog CandidateSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CandidateSortBy

Methods

build :: CandidateSortBy -> ByteStringBuilder #

ToQuery CandidateSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CandidateSortBy

Methods

toQuery :: CandidateSortBy -> QueryString #

FromText CandidateSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CandidateSortBy

Methods

fromText :: Text -> Either String CandidateSortBy #

ToText CandidateSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CandidateSortBy

Methods

toText :: CandidateSortBy -> Text #

FromXML CandidateSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CandidateSortBy

Methods

parseXML :: [Node] -> Either String CandidateSortBy #

ToXML CandidateSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CandidateSortBy

Methods

toXML :: CandidateSortBy -> XML #

Generic CandidateSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CandidateSortBy

Associated Types

type Rep CandidateSortBy :: Type -> Type #

Methods

from :: CandidateSortBy -> Rep CandidateSortBy x #

to :: Rep CandidateSortBy x -> CandidateSortBy #

Read CandidateSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CandidateSortBy

Methods

readsPrec :: Int -> ReadS CandidateSortBy #

readList :: ReadS [CandidateSortBy] #

readPrec :: ReadPrec CandidateSortBy #

readListPrec :: ReadPrec [CandidateSortBy] #

Show CandidateSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CandidateSortBy

Methods

showsPrec :: Int -> CandidateSortBy -> ShowS #

show :: CandidateSortBy -> String #

showList :: [CandidateSortBy] -> ShowS #

NFData CandidateSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CandidateSortBy

Methods

rnf :: CandidateSortBy -> () #

Eq CandidateSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CandidateSortBy

Methods

(==) :: CandidateSortBy -> CandidateSortBy -> Bool #

(/=) :: CandidateSortBy -> CandidateSortBy -> Bool #

Ord CandidateSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CandidateSortBy

Methods

compare :: CandidateSortBy -> CandidateSortBy -> Ordering #

(<) :: CandidateSortBy -> CandidateSortBy -> Bool #

(<=) :: CandidateSortBy -> CandidateSortBy -> Bool #

(>) :: CandidateSortBy -> CandidateSortBy -> Bool #

(>=) :: CandidateSortBy -> CandidateSortBy -> Bool #

max :: CandidateSortBy -> CandidateSortBy -> CandidateSortBy #

min :: CandidateSortBy -> CandidateSortBy -> CandidateSortBy #

Hashable CandidateSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CandidateSortBy

Methods

hashWithSalt :: Int -> CandidateSortBy -> Int #

hash :: CandidateSortBy -> Int #

type Rep CandidateSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CandidateSortBy

type Rep CandidateSortBy = D1 ('MetaData "CandidateSortBy" "Amazonka.SageMaker.Types.CandidateSortBy" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'True) (C1 ('MetaCons "CandidateSortBy'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromCandidateSortBy") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

CandidateStatus

newtype CandidateStatus Source #

Constructors

CandidateStatus' 

Fields

Bundled Patterns

pattern CandidateStatus_Completed :: CandidateStatus 
pattern CandidateStatus_Failed :: CandidateStatus 
pattern CandidateStatus_InProgress :: CandidateStatus 
pattern CandidateStatus_Stopped :: CandidateStatus 
pattern CandidateStatus_Stopping :: CandidateStatus 

Instances

Instances details
FromJSON CandidateStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CandidateStatus

Methods

parseJSON :: Value -> Parser CandidateStatus #

parseJSONList :: Value -> Parser [CandidateStatus] #

FromJSONKey CandidateStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CandidateStatus

Methods

fromJSONKey :: FromJSONKeyFunction CandidateStatus #

fromJSONKeyList :: FromJSONKeyFunction [CandidateStatus] #

ToJSON CandidateStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CandidateStatus

Methods

toJSON :: CandidateStatus -> Value #

toEncoding :: CandidateStatus -> Encoding #

toJSONList :: [CandidateStatus] -> Value #

toEncodingList :: [CandidateStatus] -> Encoding #

ToJSONKey CandidateStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CandidateStatus

Methods

toJSONKey :: ToJSONKeyFunction CandidateStatus #

toJSONKeyList :: ToJSONKeyFunction [CandidateStatus] #

ToByteString CandidateStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CandidateStatus

Methods

toBS :: CandidateStatus -> ByteString #

ToHeader CandidateStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CandidateStatus

Methods

toHeader :: HeaderName -> CandidateStatus -> [Header] #

ToLog CandidateStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CandidateStatus

Methods

build :: CandidateStatus -> ByteStringBuilder #

ToQuery CandidateStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CandidateStatus

Methods

toQuery :: CandidateStatus -> QueryString #

FromText CandidateStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CandidateStatus

Methods

fromText :: Text -> Either String CandidateStatus #

ToText CandidateStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CandidateStatus

Methods

toText :: CandidateStatus -> Text #

FromXML CandidateStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CandidateStatus

Methods

parseXML :: [Node] -> Either String CandidateStatus #

ToXML CandidateStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CandidateStatus

Methods

toXML :: CandidateStatus -> XML #

Generic CandidateStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CandidateStatus

Associated Types

type Rep CandidateStatus :: Type -> Type #

Methods

from :: CandidateStatus -> Rep CandidateStatus x #

to :: Rep CandidateStatus x -> CandidateStatus #

Read CandidateStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CandidateStatus

Methods

readsPrec :: Int -> ReadS CandidateStatus #

readList :: ReadS [CandidateStatus] #

readPrec :: ReadPrec CandidateStatus #

readListPrec :: ReadPrec [CandidateStatus] #

Show CandidateStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CandidateStatus

Methods

showsPrec :: Int -> CandidateStatus -> ShowS #

show :: CandidateStatus -> String #

showList :: [CandidateStatus] -> ShowS #

NFData CandidateStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CandidateStatus

Methods

rnf :: CandidateStatus -> () #

Eq CandidateStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CandidateStatus

Methods

(==) :: CandidateStatus -> CandidateStatus -> Bool #

(/=) :: CandidateStatus -> CandidateStatus -> Bool #

Ord CandidateStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CandidateStatus

Methods

compare :: CandidateStatus -> CandidateStatus -> Ordering #

(<) :: CandidateStatus -> CandidateStatus -> Bool #

(<=) :: CandidateStatus -> CandidateStatus -> Bool #

(>) :: CandidateStatus -> CandidateStatus -> Bool #

(>=) :: CandidateStatus -> CandidateStatus -> Bool #

max :: CandidateStatus -> CandidateStatus -> CandidateStatus #

min :: CandidateStatus -> CandidateStatus -> CandidateStatus #

Hashable CandidateStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CandidateStatus

Methods

hashWithSalt :: Int -> CandidateStatus -> Int #

hash :: CandidateStatus -> Int #

type Rep CandidateStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CandidateStatus

type Rep CandidateStatus = D1 ('MetaData "CandidateStatus" "Amazonka.SageMaker.Types.CandidateStatus" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'True) (C1 ('MetaCons "CandidateStatus'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromCandidateStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

CandidateStepType

newtype CandidateStepType Source #

Constructors

CandidateStepType' 

Fields

Bundled Patterns

pattern CandidateStepType_AWS__SageMaker__ProcessingJob :: CandidateStepType 
pattern CandidateStepType_AWS__SageMaker__TrainingJob :: CandidateStepType 
pattern CandidateStepType_AWS__SageMaker__TransformJob :: CandidateStepType 

Instances

Instances details
FromJSON CandidateStepType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CandidateStepType

Methods

parseJSON :: Value -> Parser CandidateStepType #

parseJSONList :: Value -> Parser [CandidateStepType] #

FromJSONKey CandidateStepType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CandidateStepType

Methods

fromJSONKey :: FromJSONKeyFunction CandidateStepType #

fromJSONKeyList :: FromJSONKeyFunction [CandidateStepType] #

ToJSON CandidateStepType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CandidateStepType

Methods

toJSON :: CandidateStepType -> Value #

toEncoding :: CandidateStepType -> Encoding #

toJSONList :: [CandidateStepType] -> Value #

toEncodingList :: [CandidateStepType] -> Encoding #

ToJSONKey CandidateStepType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CandidateStepType

Methods

toJSONKey :: ToJSONKeyFunction CandidateStepType #

toJSONKeyList :: ToJSONKeyFunction [CandidateStepType] #

ToByteString CandidateStepType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CandidateStepType

Methods

toBS :: CandidateStepType -> ByteString #

ToHeader CandidateStepType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CandidateStepType

Methods

toHeader :: HeaderName -> CandidateStepType -> [Header] #

ToLog CandidateStepType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CandidateStepType

Methods

build :: CandidateStepType -> ByteStringBuilder #

ToQuery CandidateStepType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CandidateStepType

Methods

toQuery :: CandidateStepType -> QueryString #

FromText CandidateStepType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CandidateStepType

Methods

fromText :: Text -> Either String CandidateStepType #

ToText CandidateStepType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CandidateStepType

Methods

toText :: CandidateStepType -> Text #

FromXML CandidateStepType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CandidateStepType

Methods

parseXML :: [Node] -> Either String CandidateStepType #

ToXML CandidateStepType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CandidateStepType

Methods

toXML :: CandidateStepType -> XML #

Generic CandidateStepType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CandidateStepType

Associated Types

type Rep CandidateStepType :: Type -> Type #

Methods

from :: CandidateStepType -> Rep CandidateStepType x #

to :: Rep CandidateStepType x -> CandidateStepType #

Read CandidateStepType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CandidateStepType

Methods

readsPrec :: Int -> ReadS CandidateStepType #

readList :: ReadS [CandidateStepType] #

readPrec :: ReadPrec CandidateStepType #

readListPrec :: ReadPrec [CandidateStepType] #

Show CandidateStepType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CandidateStepType

Methods

showsPrec :: Int -> CandidateStepType -> ShowS #

show :: CandidateStepType -> String #

showList :: [CandidateStepType] -> ShowS #

NFData CandidateStepType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CandidateStepType

Methods

rnf :: CandidateStepType -> () #

Eq CandidateStepType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CandidateStepType

Methods

(==) :: CandidateStepType -> CandidateStepType -> Bool #

(/=) :: CandidateStepType -> CandidateStepType -> Bool #

Ord CandidateStepType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CandidateStepType

Methods

compare :: CandidateStepType -> CandidateStepType -> Ordering #

(<) :: CandidateStepType -> CandidateStepType -> Bool #

(<=) :: CandidateStepType -> CandidateStepType -> Bool #

(>) :: CandidateStepType -> CandidateStepType -> Bool #

(>=) :: CandidateStepType -> CandidateStepType -> Bool #

max :: CandidateStepType -> CandidateStepType -> CandidateStepType #

min :: CandidateStepType -> CandidateStepType -> CandidateStepType #

Hashable CandidateStepType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CandidateStepType

Methods

hashWithSalt :: Int -> CandidateStepType -> Int #

hash :: CandidateStepType -> Int #

type Rep CandidateStepType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CandidateStepType

type Rep CandidateStepType = D1 ('MetaData "CandidateStepType" "Amazonka.SageMaker.Types.CandidateStepType" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'True) (C1 ('MetaCons "CandidateStepType'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromCandidateStepType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

CapacitySizeType

newtype CapacitySizeType Source #

Constructors

CapacitySizeType' 

Fields

Bundled Patterns

pattern CapacitySizeType_CAPACITY_PERCENT :: CapacitySizeType 
pattern CapacitySizeType_INSTANCE_COUNT :: CapacitySizeType 

Instances

Instances details
FromJSON CapacitySizeType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CapacitySizeType

Methods

parseJSON :: Value -> Parser CapacitySizeType #

parseJSONList :: Value -> Parser [CapacitySizeType] #

FromJSONKey CapacitySizeType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CapacitySizeType

Methods

fromJSONKey :: FromJSONKeyFunction CapacitySizeType #

fromJSONKeyList :: FromJSONKeyFunction [CapacitySizeType] #

ToJSON CapacitySizeType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CapacitySizeType

Methods

toJSON :: CapacitySizeType -> Value #

toEncoding :: CapacitySizeType -> Encoding #

toJSONList :: [CapacitySizeType] -> Value #

toEncodingList :: [CapacitySizeType] -> Encoding #

ToJSONKey CapacitySizeType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CapacitySizeType

Methods

toJSONKey :: ToJSONKeyFunction CapacitySizeType #

toJSONKeyList :: ToJSONKeyFunction [CapacitySizeType] #

ToByteString CapacitySizeType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CapacitySizeType

Methods

toBS :: CapacitySizeType -> ByteString #

ToHeader CapacitySizeType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CapacitySizeType

Methods

toHeader :: HeaderName -> CapacitySizeType -> [Header] #

ToLog CapacitySizeType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CapacitySizeType

Methods

build :: CapacitySizeType -> ByteStringBuilder #

ToQuery CapacitySizeType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CapacitySizeType

Methods

toQuery :: CapacitySizeType -> QueryString #

FromText CapacitySizeType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CapacitySizeType

Methods

fromText :: Text -> Either String CapacitySizeType #

ToText CapacitySizeType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CapacitySizeType

Methods

toText :: CapacitySizeType -> Text #

FromXML CapacitySizeType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CapacitySizeType

Methods

parseXML :: [Node] -> Either String CapacitySizeType #

ToXML CapacitySizeType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CapacitySizeType

Methods

toXML :: CapacitySizeType -> XML #

Generic CapacitySizeType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CapacitySizeType

Associated Types

type Rep CapacitySizeType :: Type -> Type #

Methods

from :: CapacitySizeType -> Rep CapacitySizeType x #

to :: Rep CapacitySizeType x -> CapacitySizeType #

Read CapacitySizeType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CapacitySizeType

Methods

readsPrec :: Int -> ReadS CapacitySizeType #

readList :: ReadS [CapacitySizeType] #

readPrec :: ReadPrec CapacitySizeType #

readListPrec :: ReadPrec [CapacitySizeType] #

Show CapacitySizeType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CapacitySizeType

Methods

showsPrec :: Int -> CapacitySizeType -> ShowS #

show :: CapacitySizeType -> String #

showList :: [CapacitySizeType] -> ShowS #

NFData CapacitySizeType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CapacitySizeType

Methods

rnf :: CapacitySizeType -> () #

Eq CapacitySizeType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CapacitySizeType

Methods

(==) :: CapacitySizeType -> CapacitySizeType -> Bool #

(/=) :: CapacitySizeType -> CapacitySizeType -> Bool #

Ord CapacitySizeType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CapacitySizeType

Methods

compare :: CapacitySizeType -> CapacitySizeType -> Ordering #

(<) :: CapacitySizeType -> CapacitySizeType -> Bool #

(<=) :: CapacitySizeType -> CapacitySizeType -> Bool #

(>) :: CapacitySizeType -> CapacitySizeType -> Bool #

(>=) :: CapacitySizeType -> CapacitySizeType -> Bool #

max :: CapacitySizeType -> CapacitySizeType -> CapacitySizeType #

min :: CapacitySizeType -> CapacitySizeType -> CapacitySizeType #

Hashable CapacitySizeType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CapacitySizeType

Methods

hashWithSalt :: Int -> CapacitySizeType -> Int #

hash :: CapacitySizeType -> Int #

type Rep CapacitySizeType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CapacitySizeType

type Rep CapacitySizeType = D1 ('MetaData "CapacitySizeType" "Amazonka.SageMaker.Types.CapacitySizeType" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'True) (C1 ('MetaCons "CapacitySizeType'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromCapacitySizeType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

CaptureMode

newtype CaptureMode Source #

Constructors

CaptureMode' 

Fields

Bundled Patterns

pattern CaptureMode_Input :: CaptureMode 
pattern CaptureMode_Output :: CaptureMode 

Instances

Instances details
FromJSON CaptureMode Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CaptureMode

Methods

parseJSON :: Value -> Parser CaptureMode #

parseJSONList :: Value -> Parser [CaptureMode] #

FromJSONKey CaptureMode Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CaptureMode

Methods

fromJSONKey :: FromJSONKeyFunction CaptureMode #

fromJSONKeyList :: FromJSONKeyFunction [CaptureMode] #

ToJSON CaptureMode Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CaptureMode

Methods

toJSON :: CaptureMode -> Value #

toEncoding :: CaptureMode -> Encoding #

toJSONList :: [CaptureMode] -> Value #

toEncodingList :: [CaptureMode] -> Encoding #

ToJSONKey CaptureMode Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CaptureMode

Methods

toJSONKey :: ToJSONKeyFunction CaptureMode #

toJSONKeyList :: ToJSONKeyFunction [CaptureMode] #

ToByteString CaptureMode Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CaptureMode

Methods

toBS :: CaptureMode -> ByteString #

ToHeader CaptureMode Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CaptureMode

Methods

toHeader :: HeaderName -> CaptureMode -> [Header] #

ToLog CaptureMode Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CaptureMode

Methods

build :: CaptureMode -> ByteStringBuilder #

ToQuery CaptureMode Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CaptureMode

Methods

toQuery :: CaptureMode -> QueryString #

FromText CaptureMode Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CaptureMode

Methods

fromText :: Text -> Either String CaptureMode #

ToText CaptureMode Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CaptureMode

Methods

toText :: CaptureMode -> Text #

FromXML CaptureMode Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CaptureMode

Methods

parseXML :: [Node] -> Either String CaptureMode #

ToXML CaptureMode Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CaptureMode

Methods

toXML :: CaptureMode -> XML #

Generic CaptureMode Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CaptureMode

Associated Types

type Rep CaptureMode :: Type -> Type #

Methods

from :: CaptureMode -> Rep CaptureMode x #

to :: Rep CaptureMode x -> CaptureMode #

Read CaptureMode Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CaptureMode

Methods

readsPrec :: Int -> ReadS CaptureMode #

readList :: ReadS [CaptureMode] #

readPrec :: ReadPrec CaptureMode #

readListPrec :: ReadPrec [CaptureMode] #

Show CaptureMode Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CaptureMode

Methods

showsPrec :: Int -> CaptureMode -> ShowS #

show :: CaptureMode -> String #

showList :: [CaptureMode] -> ShowS #

NFData CaptureMode Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CaptureMode

Methods

rnf :: CaptureMode -> () #

Eq CaptureMode Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CaptureMode

Methods

(==) :: CaptureMode -> CaptureMode -> Bool #

(/=) :: CaptureMode -> CaptureMode -> Bool #

Ord CaptureMode Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CaptureMode

Methods

compare :: CaptureMode -> CaptureMode -> Ordering #

(<) :: CaptureMode -> CaptureMode -> Bool #

(<=) :: CaptureMode -> CaptureMode -> Bool #

(>) :: CaptureMode -> CaptureMode -> Bool #

(>=) :: CaptureMode -> CaptureMode -> Bool #

max :: CaptureMode -> CaptureMode -> CaptureMode #

min :: CaptureMode -> CaptureMode -> CaptureMode #

Hashable CaptureMode Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CaptureMode

Methods

hashWithSalt :: Int -> CaptureMode -> Int #

hash :: CaptureMode -> Int #

type Rep CaptureMode Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CaptureMode

type Rep CaptureMode = D1 ('MetaData "CaptureMode" "Amazonka.SageMaker.Types.CaptureMode" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'True) (C1 ('MetaCons "CaptureMode'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromCaptureMode") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

CaptureStatus

newtype CaptureStatus Source #

Constructors

CaptureStatus' 

Fields

Bundled Patterns

pattern CaptureStatus_Started :: CaptureStatus 
pattern CaptureStatus_Stopped :: CaptureStatus 

Instances

Instances details
FromJSON CaptureStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CaptureStatus

Methods

parseJSON :: Value -> Parser CaptureStatus #

parseJSONList :: Value -> Parser [CaptureStatus] #

FromJSONKey CaptureStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CaptureStatus

Methods

fromJSONKey :: FromJSONKeyFunction CaptureStatus #

fromJSONKeyList :: FromJSONKeyFunction [CaptureStatus] #

ToJSON CaptureStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CaptureStatus

Methods

toJSON :: CaptureStatus -> Value #

toEncoding :: CaptureStatus -> Encoding #

toJSONList :: [CaptureStatus] -> Value #

toEncodingList :: [CaptureStatus] -> Encoding #

ToJSONKey CaptureStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CaptureStatus

Methods

toJSONKey :: ToJSONKeyFunction CaptureStatus #

toJSONKeyList :: ToJSONKeyFunction [CaptureStatus] #

ToByteString CaptureStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CaptureStatus

Methods

toBS :: CaptureStatus -> ByteString #

ToHeader CaptureStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CaptureStatus

Methods

toHeader :: HeaderName -> CaptureStatus -> [Header] #

ToLog CaptureStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CaptureStatus

Methods

build :: CaptureStatus -> ByteStringBuilder #

ToQuery CaptureStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CaptureStatus

Methods

toQuery :: CaptureStatus -> QueryString #

FromText CaptureStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CaptureStatus

Methods

fromText :: Text -> Either String CaptureStatus #

ToText CaptureStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CaptureStatus

Methods

toText :: CaptureStatus -> Text #

FromXML CaptureStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CaptureStatus

Methods

parseXML :: [Node] -> Either String CaptureStatus #

ToXML CaptureStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CaptureStatus

Methods

toXML :: CaptureStatus -> XML #

Generic CaptureStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CaptureStatus

Associated Types

type Rep CaptureStatus :: Type -> Type #

Methods

from :: CaptureStatus -> Rep CaptureStatus x #

to :: Rep CaptureStatus x -> CaptureStatus #

Read CaptureStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CaptureStatus

Methods

readsPrec :: Int -> ReadS CaptureStatus #

readList :: ReadS [CaptureStatus] #

readPrec :: ReadPrec CaptureStatus #

readListPrec :: ReadPrec [CaptureStatus] #

Show CaptureStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CaptureStatus

Methods

showsPrec :: Int -> CaptureStatus -> ShowS #

show :: CaptureStatus -> String #

showList :: [CaptureStatus] -> ShowS #

NFData CaptureStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CaptureStatus

Methods

rnf :: CaptureStatus -> () #

Eq CaptureStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CaptureStatus

Methods

(==) :: CaptureStatus -> CaptureStatus -> Bool #

(/=) :: CaptureStatus -> CaptureStatus -> Bool #

Ord CaptureStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CaptureStatus

Methods

compare :: CaptureStatus -> CaptureStatus -> Ordering #

(<) :: CaptureStatus -> CaptureStatus -> Bool #

(<=) :: CaptureStatus -> CaptureStatus -> Bool #

(>) :: CaptureStatus -> CaptureStatus -> Bool #

(>=) :: CaptureStatus -> CaptureStatus -> Bool #

max :: CaptureStatus -> CaptureStatus -> CaptureStatus #

min :: CaptureStatus -> CaptureStatus -> CaptureStatus #

Hashable CaptureStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CaptureStatus

Methods

hashWithSalt :: Int -> CaptureStatus -> Int #

hash :: CaptureStatus -> Int #

type Rep CaptureStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CaptureStatus

type Rep CaptureStatus = D1 ('MetaData "CaptureStatus" "Amazonka.SageMaker.Types.CaptureStatus" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'True) (C1 ('MetaCons "CaptureStatus'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromCaptureStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

ClarifyFeatureType

newtype ClarifyFeatureType Source #

Constructors

ClarifyFeatureType' 

Fields

Bundled Patterns

pattern ClarifyFeatureType_Categorical :: ClarifyFeatureType 
pattern ClarifyFeatureType_Numerical :: ClarifyFeatureType 
pattern ClarifyFeatureType_Text :: ClarifyFeatureType 

Instances

Instances details
FromJSON ClarifyFeatureType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ClarifyFeatureType

Methods

parseJSON :: Value -> Parser ClarifyFeatureType #

parseJSONList :: Value -> Parser [ClarifyFeatureType] #

FromJSONKey ClarifyFeatureType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ClarifyFeatureType

Methods

fromJSONKey :: FromJSONKeyFunction ClarifyFeatureType #

fromJSONKeyList :: FromJSONKeyFunction [ClarifyFeatureType] #

ToJSON ClarifyFeatureType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ClarifyFeatureType

Methods

toJSON :: ClarifyFeatureType -> Value #

toEncoding :: ClarifyFeatureType -> Encoding #

toJSONList :: [ClarifyFeatureType] -> Value #

toEncodingList :: [ClarifyFeatureType] -> Encoding #

ToJSONKey ClarifyFeatureType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ClarifyFeatureType

Methods

toJSONKey :: ToJSONKeyFunction ClarifyFeatureType #

toJSONKeyList :: ToJSONKeyFunction [ClarifyFeatureType] #

ToByteString ClarifyFeatureType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ClarifyFeatureType

Methods

toBS :: ClarifyFeatureType -> ByteString #

ToHeader ClarifyFeatureType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ClarifyFeatureType

Methods

toHeader :: HeaderName -> ClarifyFeatureType -> [Header] #

ToLog ClarifyFeatureType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ClarifyFeatureType

Methods

build :: ClarifyFeatureType -> ByteStringBuilder #

ToQuery ClarifyFeatureType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ClarifyFeatureType

Methods

toQuery :: ClarifyFeatureType -> QueryString #

FromText ClarifyFeatureType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ClarifyFeatureType

Methods

fromText :: Text -> Either String ClarifyFeatureType #

ToText ClarifyFeatureType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ClarifyFeatureType

Methods

toText :: ClarifyFeatureType -> Text #

FromXML ClarifyFeatureType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ClarifyFeatureType

Methods

parseXML :: [Node] -> Either String ClarifyFeatureType #

ToXML ClarifyFeatureType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ClarifyFeatureType

Methods

toXML :: ClarifyFeatureType -> XML #

Generic ClarifyFeatureType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ClarifyFeatureType

Associated Types

type Rep ClarifyFeatureType :: Type -> Type #

Methods

from :: ClarifyFeatureType -> Rep ClarifyFeatureType x #

to :: Rep ClarifyFeatureType x -> ClarifyFeatureType #

Read ClarifyFeatureType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ClarifyFeatureType

Methods

readsPrec :: Int -> ReadS ClarifyFeatureType #

readList :: ReadS [ClarifyFeatureType] #

readPrec :: ReadPrec ClarifyFeatureType #

readListPrec :: ReadPrec [ClarifyFeatureType] #

Show ClarifyFeatureType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ClarifyFeatureType

Methods

showsPrec :: Int -> ClarifyFeatureType -> ShowS #

show :: ClarifyFeatureType -> String #

showList :: [ClarifyFeatureType] -> ShowS #

NFData ClarifyFeatureType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ClarifyFeatureType

Methods

rnf :: ClarifyFeatureType -> () #

Eq ClarifyFeatureType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ClarifyFeatureType

Methods

(==) :: ClarifyFeatureType -> ClarifyFeatureType -> Bool #

(/=) :: ClarifyFeatureType -> ClarifyFeatureType -> Bool #

Ord ClarifyFeatureType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ClarifyFeatureType

Methods

compare :: ClarifyFeatureType -> ClarifyFeatureType -> Ordering #

(<) :: ClarifyFeatureType -> ClarifyFeatureType -> Bool #

(<=) :: ClarifyFeatureType -> ClarifyFeatureType -> Bool #

(>) :: ClarifyFeatureType -> ClarifyFeatureType -> Bool #

(>=) :: ClarifyFeatureType -> ClarifyFeatureType -> Bool #

max :: ClarifyFeatureType -> ClarifyFeatureType -> ClarifyFeatureType #

min :: ClarifyFeatureType -> ClarifyFeatureType -> ClarifyFeatureType #

Hashable ClarifyFeatureType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ClarifyFeatureType

Methods

hashWithSalt :: Int -> ClarifyFeatureType -> Int #

hash :: ClarifyFeatureType -> Int #

type Rep ClarifyFeatureType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ClarifyFeatureType

type Rep ClarifyFeatureType = D1 ('MetaData "ClarifyFeatureType" "Amazonka.SageMaker.Types.ClarifyFeatureType" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'True) (C1 ('MetaCons "ClarifyFeatureType'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromClarifyFeatureType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

ClarifyTextGranularity

newtype ClarifyTextGranularity Source #

Constructors

ClarifyTextGranularity' 

Fields

Bundled Patterns

pattern ClarifyTextGranularity_Paragraph :: ClarifyTextGranularity 
pattern ClarifyTextGranularity_Sentence :: ClarifyTextGranularity 
pattern ClarifyTextGranularity_Token :: ClarifyTextGranularity 

Instances

Instances details
FromJSON ClarifyTextGranularity Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ClarifyTextGranularity

Methods

parseJSON :: Value -> Parser ClarifyTextGranularity #

parseJSONList :: Value -> Parser [ClarifyTextGranularity] #

FromJSONKey ClarifyTextGranularity Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ClarifyTextGranularity

Methods

fromJSONKey :: FromJSONKeyFunction ClarifyTextGranularity #

fromJSONKeyList :: FromJSONKeyFunction [ClarifyTextGranularity] #

ToJSON ClarifyTextGranularity Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ClarifyTextGranularity

Methods

toJSON :: ClarifyTextGranularity -> Value #

toEncoding :: ClarifyTextGranularity -> Encoding #

toJSONList :: [ClarifyTextGranularity] -> Value #

toEncodingList :: [ClarifyTextGranularity] -> Encoding #

ToJSONKey ClarifyTextGranularity Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ClarifyTextGranularity

Methods

toJSONKey :: ToJSONKeyFunction ClarifyTextGranularity #

toJSONKeyList :: ToJSONKeyFunction [ClarifyTextGranularity] #

ToByteString ClarifyTextGranularity Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ClarifyTextGranularity

Methods

toBS :: ClarifyTextGranularity -> ByteString #

ToHeader ClarifyTextGranularity Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ClarifyTextGranularity

Methods

toHeader :: HeaderName -> ClarifyTextGranularity -> [Header] #

ToLog ClarifyTextGranularity Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ClarifyTextGranularity

Methods

build :: ClarifyTextGranularity -> ByteStringBuilder #

ToQuery ClarifyTextGranularity Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ClarifyTextGranularity

Methods

toQuery :: ClarifyTextGranularity -> QueryString #

FromText ClarifyTextGranularity Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ClarifyTextGranularity

Methods

fromText :: Text -> Either String ClarifyTextGranularity #

ToText ClarifyTextGranularity Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ClarifyTextGranularity

Methods

toText :: ClarifyTextGranularity -> Text #

FromXML ClarifyTextGranularity Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ClarifyTextGranularity

Methods

parseXML :: [Node] -> Either String ClarifyTextGranularity #

ToXML ClarifyTextGranularity Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ClarifyTextGranularity

Methods

toXML :: ClarifyTextGranularity -> XML #

Generic ClarifyTextGranularity Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ClarifyTextGranularity

Associated Types

type Rep ClarifyTextGranularity :: Type -> Type #

Methods

from :: ClarifyTextGranularity -> Rep ClarifyTextGranularity x #

to :: Rep ClarifyTextGranularity x -> ClarifyTextGranularity #

Read ClarifyTextGranularity Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ClarifyTextGranularity

Methods

readsPrec :: Int -> ReadS ClarifyTextGranularity #

readList :: ReadS [ClarifyTextGranularity] #

readPrec :: ReadPrec ClarifyTextGranularity #

readListPrec :: ReadPrec [ClarifyTextGranularity] #

Show ClarifyTextGranularity Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ClarifyTextGranularity

Methods

showsPrec :: Int -> ClarifyTextGranularity -> ShowS #

show :: ClarifyTextGranularity -> String #

showList :: [ClarifyTextGranularity] -> ShowS #

NFData ClarifyTextGranularity Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ClarifyTextGranularity

Methods

rnf :: ClarifyTextGranularity -> () #

Eq ClarifyTextGranularity Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ClarifyTextGranularity

Methods

(==) :: ClarifyTextGranularity -> ClarifyTextGranularity -> Bool #

(/=) :: ClarifyTextGranularity -> ClarifyTextGranularity -> Bool #

Ord ClarifyTextGranularity Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ClarifyTextGranularity

Methods

compare :: ClarifyTextGranularity -> ClarifyTextGranularity -> Ordering #

(<) :: ClarifyTextGranularity -> ClarifyTextGranularity -> Bool #

(<=) :: ClarifyTextGranularity -> ClarifyTextGranularity -> Bool #

(>) :: ClarifyTextGranularity -> ClarifyTextGranularity -> Bool #

(>=) :: ClarifyTextGranularity -> ClarifyTextGranularity -> Bool #

max :: ClarifyTextGranularity -> ClarifyTextGranularity -> ClarifyTextGranularity #

min :: ClarifyTextGranularity -> ClarifyTextGranularity -> ClarifyTextGranularity #

Hashable ClarifyTextGranularity Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ClarifyTextGranularity

Methods

hashWithSalt :: Int -> ClarifyTextGranularity -> Int #

hash :: ClarifyTextGranularity -> Int #

type Rep ClarifyTextGranularity Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ClarifyTextGranularity

type Rep ClarifyTextGranularity = D1 ('MetaData "ClarifyTextGranularity" "Amazonka.SageMaker.Types.ClarifyTextGranularity" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'True) (C1 ('MetaCons "ClarifyTextGranularity'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromClarifyTextGranularity") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

ClarifyTextLanguage

newtype ClarifyTextLanguage Source #

Constructors

ClarifyTextLanguage' 

Fields

Bundled Patterns

pattern ClarifyTextLanguage_Af :: ClarifyTextLanguage 
pattern ClarifyTextLanguage_Ar :: ClarifyTextLanguage 
pattern ClarifyTextLanguage_Bg :: ClarifyTextLanguage 
pattern ClarifyTextLanguage_Bn :: ClarifyTextLanguage 
pattern ClarifyTextLanguage_Ca :: ClarifyTextLanguage 
pattern ClarifyTextLanguage_Cs :: ClarifyTextLanguage 
pattern ClarifyTextLanguage_Da :: ClarifyTextLanguage 
pattern ClarifyTextLanguage_De :: ClarifyTextLanguage 
pattern ClarifyTextLanguage_El :: ClarifyTextLanguage 
pattern ClarifyTextLanguage_En :: ClarifyTextLanguage 
pattern ClarifyTextLanguage_Es :: ClarifyTextLanguage 
pattern ClarifyTextLanguage_Et :: ClarifyTextLanguage 
pattern ClarifyTextLanguage_Eu :: ClarifyTextLanguage 
pattern ClarifyTextLanguage_Fa :: ClarifyTextLanguage 
pattern ClarifyTextLanguage_Fi :: ClarifyTextLanguage 
pattern ClarifyTextLanguage_Fr :: ClarifyTextLanguage 
pattern ClarifyTextLanguage_Ga :: ClarifyTextLanguage 
pattern ClarifyTextLanguage_Gu :: ClarifyTextLanguage 
pattern ClarifyTextLanguage_He :: ClarifyTextLanguage 
pattern ClarifyTextLanguage_Hi :: ClarifyTextLanguage 
pattern ClarifyTextLanguage_Hr :: ClarifyTextLanguage 
pattern ClarifyTextLanguage_Hu :: ClarifyTextLanguage 
pattern ClarifyTextLanguage_Hy :: ClarifyTextLanguage 
pattern ClarifyTextLanguage_Id :: ClarifyTextLanguage 
pattern ClarifyTextLanguage_Is :: ClarifyTextLanguage 
pattern ClarifyTextLanguage_It :: ClarifyTextLanguage 
pattern ClarifyTextLanguage_Kn :: ClarifyTextLanguage 
pattern ClarifyTextLanguage_Ky :: ClarifyTextLanguage 
pattern ClarifyTextLanguage_Lb :: ClarifyTextLanguage 
pattern ClarifyTextLanguage_Lij :: ClarifyTextLanguage 
pattern ClarifyTextLanguage_Lt :: ClarifyTextLanguage 
pattern ClarifyTextLanguage_Lv :: ClarifyTextLanguage 
pattern ClarifyTextLanguage_Mk :: ClarifyTextLanguage 
pattern ClarifyTextLanguage_Ml :: ClarifyTextLanguage 
pattern ClarifyTextLanguage_Mr :: ClarifyTextLanguage 
pattern ClarifyTextLanguage_Nb :: ClarifyTextLanguage 
pattern ClarifyTextLanguage_Ne :: ClarifyTextLanguage 
pattern ClarifyTextLanguage_Nl :: ClarifyTextLanguage 
pattern ClarifyTextLanguage_Pl :: ClarifyTextLanguage 
pattern ClarifyTextLanguage_Pt :: ClarifyTextLanguage 
pattern ClarifyTextLanguage_Ro :: ClarifyTextLanguage 
pattern ClarifyTextLanguage_Ru :: ClarifyTextLanguage 
pattern ClarifyTextLanguage_Sa :: ClarifyTextLanguage 
pattern ClarifyTextLanguage_Si :: ClarifyTextLanguage 
pattern ClarifyTextLanguage_Sk :: ClarifyTextLanguage 
pattern ClarifyTextLanguage_Sl :: ClarifyTextLanguage 
pattern ClarifyTextLanguage_Sq :: ClarifyTextLanguage 
pattern ClarifyTextLanguage_Sr :: ClarifyTextLanguage 
pattern ClarifyTextLanguage_Sv :: ClarifyTextLanguage 
pattern ClarifyTextLanguage_Ta :: ClarifyTextLanguage 
pattern ClarifyTextLanguage_Te :: ClarifyTextLanguage 
pattern ClarifyTextLanguage_Tl :: ClarifyTextLanguage 
pattern ClarifyTextLanguage_Tn :: ClarifyTextLanguage 
pattern ClarifyTextLanguage_Tr :: ClarifyTextLanguage 
pattern ClarifyTextLanguage_Tt :: ClarifyTextLanguage 
pattern ClarifyTextLanguage_Uk :: ClarifyTextLanguage 
pattern ClarifyTextLanguage_Ur :: ClarifyTextLanguage 
pattern ClarifyTextLanguage_Xx :: ClarifyTextLanguage 
pattern ClarifyTextLanguage_Yo :: ClarifyTextLanguage 
pattern ClarifyTextLanguage_Zh :: ClarifyTextLanguage 

Instances

Instances details
FromJSON ClarifyTextLanguage Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ClarifyTextLanguage

Methods

parseJSON :: Value -> Parser ClarifyTextLanguage #

parseJSONList :: Value -> Parser [ClarifyTextLanguage] #

FromJSONKey ClarifyTextLanguage Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ClarifyTextLanguage

Methods

fromJSONKey :: FromJSONKeyFunction ClarifyTextLanguage #

fromJSONKeyList :: FromJSONKeyFunction [ClarifyTextLanguage] #

ToJSON ClarifyTextLanguage Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ClarifyTextLanguage

Methods

toJSON :: ClarifyTextLanguage -> Value #

toEncoding :: ClarifyTextLanguage -> Encoding #

toJSONList :: [ClarifyTextLanguage] -> Value #

toEncodingList :: [ClarifyTextLanguage] -> Encoding #

ToJSONKey ClarifyTextLanguage Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ClarifyTextLanguage

Methods

toJSONKey :: ToJSONKeyFunction ClarifyTextLanguage #

toJSONKeyList :: ToJSONKeyFunction [ClarifyTextLanguage] #

ToByteString ClarifyTextLanguage Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ClarifyTextLanguage

Methods

toBS :: ClarifyTextLanguage -> ByteString #

ToHeader ClarifyTextLanguage Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ClarifyTextLanguage

Methods

toHeader :: HeaderName -> ClarifyTextLanguage -> [Header] #

ToLog ClarifyTextLanguage Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ClarifyTextLanguage

Methods

build :: ClarifyTextLanguage -> ByteStringBuilder #

ToQuery ClarifyTextLanguage Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ClarifyTextLanguage

Methods

toQuery :: ClarifyTextLanguage -> QueryString #

FromText ClarifyTextLanguage Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ClarifyTextLanguage

Methods

fromText :: Text -> Either String ClarifyTextLanguage #

ToText ClarifyTextLanguage Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ClarifyTextLanguage

Methods

toText :: ClarifyTextLanguage -> Text #

FromXML ClarifyTextLanguage Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ClarifyTextLanguage

Methods

parseXML :: [Node] -> Either String ClarifyTextLanguage #

ToXML ClarifyTextLanguage Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ClarifyTextLanguage

Methods

toXML :: ClarifyTextLanguage -> XML #

Generic ClarifyTextLanguage Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ClarifyTextLanguage

Associated Types

type Rep ClarifyTextLanguage :: Type -> Type #

Methods

from :: ClarifyTextLanguage -> Rep ClarifyTextLanguage x #

to :: Rep ClarifyTextLanguage x -> ClarifyTextLanguage #

Read ClarifyTextLanguage Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ClarifyTextLanguage

Methods

readsPrec :: Int -> ReadS ClarifyTextLanguage #

readList :: ReadS [ClarifyTextLanguage] #

readPrec :: ReadPrec ClarifyTextLanguage #

readListPrec :: ReadPrec [ClarifyTextLanguage] #

Show ClarifyTextLanguage Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ClarifyTextLanguage

Methods

showsPrec :: Int -> ClarifyTextLanguage -> ShowS #

show :: ClarifyTextLanguage -> String #

showList :: [ClarifyTextLanguage] -> ShowS #

NFData ClarifyTextLanguage Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ClarifyTextLanguage

Methods

rnf :: ClarifyTextLanguage -> () #

Eq ClarifyTextLanguage Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ClarifyTextLanguage

Methods

(==) :: ClarifyTextLanguage -> ClarifyTextLanguage -> Bool #

(/=) :: ClarifyTextLanguage -> ClarifyTextLanguage -> Bool #

Ord ClarifyTextLanguage Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ClarifyTextLanguage

Methods

compare :: ClarifyTextLanguage -> ClarifyTextLanguage -> Ordering #

(<) :: ClarifyTextLanguage -> ClarifyTextLanguage -> Bool #

(<=) :: ClarifyTextLanguage -> ClarifyTextLanguage -> Bool #

(>) :: ClarifyTextLanguage -> ClarifyTextLanguage -> Bool #

(>=) :: ClarifyTextLanguage -> ClarifyTextLanguage -> Bool #

max :: ClarifyTextLanguage -> ClarifyTextLanguage -> ClarifyTextLanguage #

min :: ClarifyTextLanguage -> ClarifyTextLanguage -> ClarifyTextLanguage #

Hashable ClarifyTextLanguage Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ClarifyTextLanguage

Methods

hashWithSalt :: Int -> ClarifyTextLanguage -> Int #

hash :: ClarifyTextLanguage -> Int #

type Rep ClarifyTextLanguage Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ClarifyTextLanguage

type Rep ClarifyTextLanguage = D1 ('MetaData "ClarifyTextLanguage" "Amazonka.SageMaker.Types.ClarifyTextLanguage" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'True) (C1 ('MetaCons "ClarifyTextLanguage'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromClarifyTextLanguage") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

CodeRepositorySortBy

newtype CodeRepositorySortBy Source #

Constructors

CodeRepositorySortBy' 

Fields

Bundled Patterns

pattern CodeRepositorySortBy_CreationTime :: CodeRepositorySortBy 
pattern CodeRepositorySortBy_LastModifiedTime :: CodeRepositorySortBy 
pattern CodeRepositorySortBy_Name :: CodeRepositorySortBy 

Instances

Instances details
FromJSON CodeRepositorySortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CodeRepositorySortBy

Methods

parseJSON :: Value -> Parser CodeRepositorySortBy #

parseJSONList :: Value -> Parser [CodeRepositorySortBy] #

FromJSONKey CodeRepositorySortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CodeRepositorySortBy

Methods

fromJSONKey :: FromJSONKeyFunction CodeRepositorySortBy #

fromJSONKeyList :: FromJSONKeyFunction [CodeRepositorySortBy] #

ToJSON CodeRepositorySortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CodeRepositorySortBy

Methods

toJSON :: CodeRepositorySortBy -> Value #

toEncoding :: CodeRepositorySortBy -> Encoding #

toJSONList :: [CodeRepositorySortBy] -> Value #

toEncodingList :: [CodeRepositorySortBy] -> Encoding #

ToJSONKey CodeRepositorySortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CodeRepositorySortBy

Methods

toJSONKey :: ToJSONKeyFunction CodeRepositorySortBy #

toJSONKeyList :: ToJSONKeyFunction [CodeRepositorySortBy] #

ToByteString CodeRepositorySortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CodeRepositorySortBy

Methods

toBS :: CodeRepositorySortBy -> ByteString #

ToHeader CodeRepositorySortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CodeRepositorySortBy

Methods

toHeader :: HeaderName -> CodeRepositorySortBy -> [Header] #

ToLog CodeRepositorySortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CodeRepositorySortBy

Methods

build :: CodeRepositorySortBy -> ByteStringBuilder #

ToQuery CodeRepositorySortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CodeRepositorySortBy

Methods

toQuery :: CodeRepositorySortBy -> QueryString #

FromText CodeRepositorySortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CodeRepositorySortBy

Methods

fromText :: Text -> Either String CodeRepositorySortBy #

ToText CodeRepositorySortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CodeRepositorySortBy

Methods

toText :: CodeRepositorySortBy -> Text #

FromXML CodeRepositorySortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CodeRepositorySortBy

Methods

parseXML :: [Node] -> Either String CodeRepositorySortBy #

ToXML CodeRepositorySortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CodeRepositorySortBy

Methods

toXML :: CodeRepositorySortBy -> XML #

Generic CodeRepositorySortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CodeRepositorySortBy

Associated Types

type Rep CodeRepositorySortBy :: Type -> Type #

Methods

from :: CodeRepositorySortBy -> Rep CodeRepositorySortBy x #

to :: Rep CodeRepositorySortBy x -> CodeRepositorySortBy #

Read CodeRepositorySortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CodeRepositorySortBy

Methods

readsPrec :: Int -> ReadS CodeRepositorySortBy #

readList :: ReadS [CodeRepositorySortBy] #

readPrec :: ReadPrec CodeRepositorySortBy #

readListPrec :: ReadPrec [CodeRepositorySortBy] #

Show CodeRepositorySortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CodeRepositorySortBy

Methods

showsPrec :: Int -> CodeRepositorySortBy -> ShowS #

show :: CodeRepositorySortBy -> String #

showList :: [CodeRepositorySortBy] -> ShowS #

NFData CodeRepositorySortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CodeRepositorySortBy

Methods

rnf :: CodeRepositorySortBy -> () #

Eq CodeRepositorySortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CodeRepositorySortBy

Methods

(==) :: CodeRepositorySortBy -> CodeRepositorySortBy -> Bool #

(/=) :: CodeRepositorySortBy -> CodeRepositorySortBy -> Bool #

Ord CodeRepositorySortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CodeRepositorySortBy

Methods

compare :: CodeRepositorySortBy -> CodeRepositorySortBy -> Ordering #

(<) :: CodeRepositorySortBy -> CodeRepositorySortBy -> Bool #

(<=) :: CodeRepositorySortBy -> CodeRepositorySortBy -> Bool #

(>) :: CodeRepositorySortBy -> CodeRepositorySortBy -> Bool #

(>=) :: CodeRepositorySortBy -> CodeRepositorySortBy -> Bool #

max :: CodeRepositorySortBy -> CodeRepositorySortBy -> CodeRepositorySortBy #

min :: CodeRepositorySortBy -> CodeRepositorySortBy -> CodeRepositorySortBy #

Hashable CodeRepositorySortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CodeRepositorySortBy

Methods

hashWithSalt :: Int -> CodeRepositorySortBy -> Int #

hash :: CodeRepositorySortBy -> Int #

type Rep CodeRepositorySortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CodeRepositorySortBy

type Rep CodeRepositorySortBy = D1 ('MetaData "CodeRepositorySortBy" "Amazonka.SageMaker.Types.CodeRepositorySortBy" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'True) (C1 ('MetaCons "CodeRepositorySortBy'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromCodeRepositorySortBy") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

CodeRepositorySortOrder

newtype CodeRepositorySortOrder Source #

Constructors

CodeRepositorySortOrder' 

Fields

Bundled Patterns

pattern CodeRepositorySortOrder_Ascending :: CodeRepositorySortOrder 
pattern CodeRepositorySortOrder_Descending :: CodeRepositorySortOrder 

Instances

Instances details
FromJSON CodeRepositorySortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CodeRepositorySortOrder

Methods

parseJSON :: Value -> Parser CodeRepositorySortOrder #

parseJSONList :: Value -> Parser [CodeRepositorySortOrder] #

FromJSONKey CodeRepositorySortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CodeRepositorySortOrder

Methods

fromJSONKey :: FromJSONKeyFunction CodeRepositorySortOrder #

fromJSONKeyList :: FromJSONKeyFunction [CodeRepositorySortOrder] #

ToJSON CodeRepositorySortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CodeRepositorySortOrder

Methods

toJSON :: CodeRepositorySortOrder -> Value #

toEncoding :: CodeRepositorySortOrder -> Encoding #

toJSONList :: [CodeRepositorySortOrder] -> Value #

toEncodingList :: [CodeRepositorySortOrder] -> Encoding #

ToJSONKey CodeRepositorySortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CodeRepositorySortOrder

Methods

toJSONKey :: ToJSONKeyFunction CodeRepositorySortOrder #

toJSONKeyList :: ToJSONKeyFunction [CodeRepositorySortOrder] #

ToByteString CodeRepositorySortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CodeRepositorySortOrder

Methods

toBS :: CodeRepositorySortOrder -> ByteString #

ToHeader CodeRepositorySortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CodeRepositorySortOrder

Methods

toHeader :: HeaderName -> CodeRepositorySortOrder -> [Header] #

ToLog CodeRepositorySortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CodeRepositorySortOrder

Methods

build :: CodeRepositorySortOrder -> ByteStringBuilder #

ToQuery CodeRepositorySortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CodeRepositorySortOrder

Methods

toQuery :: CodeRepositorySortOrder -> QueryString #

FromText CodeRepositorySortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CodeRepositorySortOrder

Methods

fromText :: Text -> Either String CodeRepositorySortOrder #

ToText CodeRepositorySortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CodeRepositorySortOrder

Methods

toText :: CodeRepositorySortOrder -> Text #

FromXML CodeRepositorySortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CodeRepositorySortOrder

Methods

parseXML :: [Node] -> Either String CodeRepositorySortOrder #

ToXML CodeRepositorySortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CodeRepositorySortOrder

Methods

toXML :: CodeRepositorySortOrder -> XML #

Generic CodeRepositorySortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CodeRepositorySortOrder

Associated Types

type Rep CodeRepositorySortOrder :: Type -> Type #

Methods

from :: CodeRepositorySortOrder -> Rep CodeRepositorySortOrder x #

to :: Rep CodeRepositorySortOrder x -> CodeRepositorySortOrder #

Read CodeRepositorySortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CodeRepositorySortOrder

Methods

readsPrec :: Int -> ReadS CodeRepositorySortOrder #

readList :: ReadS [CodeRepositorySortOrder] #

readPrec :: ReadPrec CodeRepositorySortOrder #

readListPrec :: ReadPrec [CodeRepositorySortOrder] #

Show CodeRepositorySortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CodeRepositorySortOrder

Methods

showsPrec :: Int -> CodeRepositorySortOrder -> ShowS #

show :: CodeRepositorySortOrder -> String #

showList :: [CodeRepositorySortOrder] -> ShowS #

NFData CodeRepositorySortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CodeRepositorySortOrder

Methods

rnf :: CodeRepositorySortOrder -> () #

Eq CodeRepositorySortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CodeRepositorySortOrder

Methods

(==) :: CodeRepositorySortOrder -> CodeRepositorySortOrder -> Bool #

(/=) :: CodeRepositorySortOrder -> CodeRepositorySortOrder -> Bool #

Ord CodeRepositorySortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CodeRepositorySortOrder

Methods

compare :: CodeRepositorySortOrder -> CodeRepositorySortOrder -> Ordering #

(<) :: CodeRepositorySortOrder -> CodeRepositorySortOrder -> Bool #

(<=) :: CodeRepositorySortOrder -> CodeRepositorySortOrder -> Bool #

(>) :: CodeRepositorySortOrder -> CodeRepositorySortOrder -> Bool #

(>=) :: CodeRepositorySortOrder -> CodeRepositorySortOrder -> Bool #

max :: CodeRepositorySortOrder -> CodeRepositorySortOrder -> CodeRepositorySortOrder #

min :: CodeRepositorySortOrder -> CodeRepositorySortOrder -> CodeRepositorySortOrder #

Hashable CodeRepositorySortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CodeRepositorySortOrder

Methods

hashWithSalt :: Int -> CodeRepositorySortOrder -> Int #

hash :: CodeRepositorySortOrder -> Int #

type Rep CodeRepositorySortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CodeRepositorySortOrder

type Rep CodeRepositorySortOrder = D1 ('MetaData "CodeRepositorySortOrder" "Amazonka.SageMaker.Types.CodeRepositorySortOrder" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'True) (C1 ('MetaCons "CodeRepositorySortOrder'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromCodeRepositorySortOrder") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

CompilationJobStatus

newtype CompilationJobStatus Source #

Constructors

CompilationJobStatus' 

Fields

Bundled Patterns

pattern CompilationJobStatus_COMPLETED :: CompilationJobStatus 
pattern CompilationJobStatus_FAILED :: CompilationJobStatus 
pattern CompilationJobStatus_INPROGRESS :: CompilationJobStatus 
pattern CompilationJobStatus_STARTING :: CompilationJobStatus 
pattern CompilationJobStatus_STOPPED :: CompilationJobStatus 
pattern CompilationJobStatus_STOPPING :: CompilationJobStatus 

Instances

Instances details
FromJSON CompilationJobStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CompilationJobStatus

Methods

parseJSON :: Value -> Parser CompilationJobStatus #

parseJSONList :: Value -> Parser [CompilationJobStatus] #

FromJSONKey CompilationJobStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CompilationJobStatus

Methods

fromJSONKey :: FromJSONKeyFunction CompilationJobStatus #

fromJSONKeyList :: FromJSONKeyFunction [CompilationJobStatus] #

ToJSON CompilationJobStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CompilationJobStatus

Methods

toJSON :: CompilationJobStatus -> Value #

toEncoding :: CompilationJobStatus -> Encoding #

toJSONList :: [CompilationJobStatus] -> Value #

toEncodingList :: [CompilationJobStatus] -> Encoding #

ToJSONKey CompilationJobStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CompilationJobStatus

Methods

toJSONKey :: ToJSONKeyFunction CompilationJobStatus #

toJSONKeyList :: ToJSONKeyFunction [CompilationJobStatus] #

ToByteString CompilationJobStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CompilationJobStatus

Methods

toBS :: CompilationJobStatus -> ByteString #

ToHeader CompilationJobStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CompilationJobStatus

Methods

toHeader :: HeaderName -> CompilationJobStatus -> [Header] #

ToLog CompilationJobStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CompilationJobStatus

Methods

build :: CompilationJobStatus -> ByteStringBuilder #

ToQuery CompilationJobStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CompilationJobStatus

Methods

toQuery :: CompilationJobStatus -> QueryString #

FromText CompilationJobStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CompilationJobStatus

Methods

fromText :: Text -> Either String CompilationJobStatus #

ToText CompilationJobStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CompilationJobStatus

Methods

toText :: CompilationJobStatus -> Text #

FromXML CompilationJobStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CompilationJobStatus

Methods

parseXML :: [Node] -> Either String CompilationJobStatus #

ToXML CompilationJobStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CompilationJobStatus

Methods

toXML :: CompilationJobStatus -> XML #

Generic CompilationJobStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CompilationJobStatus

Associated Types

type Rep CompilationJobStatus :: Type -> Type #

Methods

from :: CompilationJobStatus -> Rep CompilationJobStatus x #

to :: Rep CompilationJobStatus x -> CompilationJobStatus #

Read CompilationJobStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CompilationJobStatus

Methods

readsPrec :: Int -> ReadS CompilationJobStatus #

readList :: ReadS [CompilationJobStatus] #

readPrec :: ReadPrec CompilationJobStatus #

readListPrec :: ReadPrec [CompilationJobStatus] #

Show CompilationJobStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CompilationJobStatus

Methods

showsPrec :: Int -> CompilationJobStatus -> ShowS #

show :: CompilationJobStatus -> String #

showList :: [CompilationJobStatus] -> ShowS #

NFData CompilationJobStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CompilationJobStatus

Methods

rnf :: CompilationJobStatus -> () #

Eq CompilationJobStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CompilationJobStatus

Methods

(==) :: CompilationJobStatus -> CompilationJobStatus -> Bool #

(/=) :: CompilationJobStatus -> CompilationJobStatus -> Bool #

Ord CompilationJobStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CompilationJobStatus

Methods

compare :: CompilationJobStatus -> CompilationJobStatus -> Ordering #

(<) :: CompilationJobStatus -> CompilationJobStatus -> Bool #

(<=) :: CompilationJobStatus -> CompilationJobStatus -> Bool #

(>) :: CompilationJobStatus -> CompilationJobStatus -> Bool #

(>=) :: CompilationJobStatus -> CompilationJobStatus -> Bool #

max :: CompilationJobStatus -> CompilationJobStatus -> CompilationJobStatus #

min :: CompilationJobStatus -> CompilationJobStatus -> CompilationJobStatus #

Hashable CompilationJobStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CompilationJobStatus

Methods

hashWithSalt :: Int -> CompilationJobStatus -> Int #

hash :: CompilationJobStatus -> Int #

type Rep CompilationJobStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CompilationJobStatus

type Rep CompilationJobStatus = D1 ('MetaData "CompilationJobStatus" "Amazonka.SageMaker.Types.CompilationJobStatus" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'True) (C1 ('MetaCons "CompilationJobStatus'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromCompilationJobStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

CompressionType

newtype CompressionType Source #

Constructors

CompressionType' 

Fields

Bundled Patterns

pattern CompressionType_Gzip :: CompressionType 
pattern CompressionType_None :: CompressionType 

Instances

Instances details
FromJSON CompressionType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CompressionType

Methods

parseJSON :: Value -> Parser CompressionType #

parseJSONList :: Value -> Parser [CompressionType] #

FromJSONKey CompressionType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CompressionType

Methods

fromJSONKey :: FromJSONKeyFunction CompressionType #

fromJSONKeyList :: FromJSONKeyFunction [CompressionType] #

ToJSON CompressionType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CompressionType

Methods

toJSON :: CompressionType -> Value #

toEncoding :: CompressionType -> Encoding #

toJSONList :: [CompressionType] -> Value #

toEncodingList :: [CompressionType] -> Encoding #

ToJSONKey CompressionType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CompressionType

Methods

toJSONKey :: ToJSONKeyFunction CompressionType #

toJSONKeyList :: ToJSONKeyFunction [CompressionType] #

ToByteString CompressionType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CompressionType

Methods

toBS :: CompressionType -> ByteString #

ToHeader CompressionType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CompressionType

Methods

toHeader :: HeaderName -> CompressionType -> [Header] #

ToLog CompressionType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CompressionType

Methods

build :: CompressionType -> ByteStringBuilder #

ToQuery CompressionType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CompressionType

Methods

toQuery :: CompressionType -> QueryString #

FromText CompressionType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CompressionType

Methods

fromText :: Text -> Either String CompressionType #

ToText CompressionType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CompressionType

Methods

toText :: CompressionType -> Text #

FromXML CompressionType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CompressionType

Methods

parseXML :: [Node] -> Either String CompressionType #

ToXML CompressionType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CompressionType

Methods

toXML :: CompressionType -> XML #

Generic CompressionType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CompressionType

Associated Types

type Rep CompressionType :: Type -> Type #

Methods

from :: CompressionType -> Rep CompressionType x #

to :: Rep CompressionType x -> CompressionType #

Read CompressionType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CompressionType

Methods

readsPrec :: Int -> ReadS CompressionType #

readList :: ReadS [CompressionType] #

readPrec :: ReadPrec CompressionType #

readListPrec :: ReadPrec [CompressionType] #

Show CompressionType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CompressionType

Methods

showsPrec :: Int -> CompressionType -> ShowS #

show :: CompressionType -> String #

showList :: [CompressionType] -> ShowS #

NFData CompressionType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CompressionType

Methods

rnf :: CompressionType -> () #

Eq CompressionType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CompressionType

Methods

(==) :: CompressionType -> CompressionType -> Bool #

(/=) :: CompressionType -> CompressionType -> Bool #

Ord CompressionType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CompressionType

Methods

compare :: CompressionType -> CompressionType -> Ordering #

(<) :: CompressionType -> CompressionType -> Bool #

(<=) :: CompressionType -> CompressionType -> Bool #

(>) :: CompressionType -> CompressionType -> Bool #

(>=) :: CompressionType -> CompressionType -> Bool #

max :: CompressionType -> CompressionType -> CompressionType #

min :: CompressionType -> CompressionType -> CompressionType #

Hashable CompressionType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CompressionType

Methods

hashWithSalt :: Int -> CompressionType -> Int #

hash :: CompressionType -> Int #

type Rep CompressionType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CompressionType

type Rep CompressionType = D1 ('MetaData "CompressionType" "Amazonka.SageMaker.Types.CompressionType" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'True) (C1 ('MetaCons "CompressionType'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromCompressionType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

ConditionOutcome

newtype ConditionOutcome Source #

Constructors

ConditionOutcome' 

Fields

Bundled Patterns

pattern ConditionOutcome_False :: ConditionOutcome 
pattern ConditionOutcome_True :: ConditionOutcome 

Instances

Instances details
FromJSON ConditionOutcome Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ConditionOutcome

Methods

parseJSON :: Value -> Parser ConditionOutcome #

parseJSONList :: Value -> Parser [ConditionOutcome] #

FromJSONKey ConditionOutcome Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ConditionOutcome

Methods

fromJSONKey :: FromJSONKeyFunction ConditionOutcome #

fromJSONKeyList :: FromJSONKeyFunction [ConditionOutcome] #

ToJSON ConditionOutcome Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ConditionOutcome

Methods

toJSON :: ConditionOutcome -> Value #

toEncoding :: ConditionOutcome -> Encoding #

toJSONList :: [ConditionOutcome] -> Value #

toEncodingList :: [ConditionOutcome] -> Encoding #

ToJSONKey ConditionOutcome Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ConditionOutcome

Methods

toJSONKey :: ToJSONKeyFunction ConditionOutcome #

toJSONKeyList :: ToJSONKeyFunction [ConditionOutcome] #

ToByteString ConditionOutcome Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ConditionOutcome

Methods

toBS :: ConditionOutcome -> ByteString #

ToHeader ConditionOutcome Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ConditionOutcome

Methods

toHeader :: HeaderName -> ConditionOutcome -> [Header] #

ToLog ConditionOutcome Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ConditionOutcome

Methods

build :: ConditionOutcome -> ByteStringBuilder #

ToQuery ConditionOutcome Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ConditionOutcome

Methods

toQuery :: ConditionOutcome -> QueryString #

FromText ConditionOutcome Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ConditionOutcome

Methods

fromText :: Text -> Either String ConditionOutcome #

ToText ConditionOutcome Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ConditionOutcome

Methods

toText :: ConditionOutcome -> Text #

FromXML ConditionOutcome Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ConditionOutcome

Methods

parseXML :: [Node] -> Either String ConditionOutcome #

ToXML ConditionOutcome Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ConditionOutcome

Methods

toXML :: ConditionOutcome -> XML #

Generic ConditionOutcome Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ConditionOutcome

Associated Types

type Rep ConditionOutcome :: Type -> Type #

Methods

from :: ConditionOutcome -> Rep ConditionOutcome x #

to :: Rep ConditionOutcome x -> ConditionOutcome #

Read ConditionOutcome Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ConditionOutcome

Methods

readsPrec :: Int -> ReadS ConditionOutcome #

readList :: ReadS [ConditionOutcome] #

readPrec :: ReadPrec ConditionOutcome #

readListPrec :: ReadPrec [ConditionOutcome] #

Show ConditionOutcome Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ConditionOutcome

Methods

showsPrec :: Int -> ConditionOutcome -> ShowS #

show :: ConditionOutcome -> String #

showList :: [ConditionOutcome] -> ShowS #

NFData ConditionOutcome Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ConditionOutcome

Methods

rnf :: ConditionOutcome -> () #

Eq ConditionOutcome Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ConditionOutcome

Methods

(==) :: ConditionOutcome -> ConditionOutcome -> Bool #

(/=) :: ConditionOutcome -> ConditionOutcome -> Bool #

Ord ConditionOutcome Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ConditionOutcome

Methods

compare :: ConditionOutcome -> ConditionOutcome -> Ordering #

(<) :: ConditionOutcome -> ConditionOutcome -> Bool #

(<=) :: ConditionOutcome -> ConditionOutcome -> Bool #

(>) :: ConditionOutcome -> ConditionOutcome -> Bool #

(>=) :: ConditionOutcome -> ConditionOutcome -> Bool #

max :: ConditionOutcome -> ConditionOutcome -> ConditionOutcome #

min :: ConditionOutcome -> ConditionOutcome -> ConditionOutcome #

Hashable ConditionOutcome Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ConditionOutcome

Methods

hashWithSalt :: Int -> ConditionOutcome -> Int #

hash :: ConditionOutcome -> Int #

type Rep ConditionOutcome Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ConditionOutcome

type Rep ConditionOutcome = D1 ('MetaData "ConditionOutcome" "Amazonka.SageMaker.Types.ConditionOutcome" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'True) (C1 ('MetaCons "ConditionOutcome'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromConditionOutcome") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

ContainerMode

newtype ContainerMode Source #

Constructors

ContainerMode' 

Fields

Bundled Patterns

pattern ContainerMode_MultiModel :: ContainerMode 
pattern ContainerMode_SingleModel :: ContainerMode 

Instances

Instances details
FromJSON ContainerMode Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ContainerMode

Methods

parseJSON :: Value -> Parser ContainerMode #

parseJSONList :: Value -> Parser [ContainerMode] #

FromJSONKey ContainerMode Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ContainerMode

Methods

fromJSONKey :: FromJSONKeyFunction ContainerMode #

fromJSONKeyList :: FromJSONKeyFunction [ContainerMode] #

ToJSON ContainerMode Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ContainerMode

Methods

toJSON :: ContainerMode -> Value #

toEncoding :: ContainerMode -> Encoding #

toJSONList :: [ContainerMode] -> Value #

toEncodingList :: [ContainerMode] -> Encoding #

ToJSONKey ContainerMode Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ContainerMode

Methods

toJSONKey :: ToJSONKeyFunction ContainerMode #

toJSONKeyList :: ToJSONKeyFunction [ContainerMode] #

ToByteString ContainerMode Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ContainerMode

Methods

toBS :: ContainerMode -> ByteString #

ToHeader ContainerMode Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ContainerMode

Methods

toHeader :: HeaderName -> ContainerMode -> [Header] #

ToLog ContainerMode Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ContainerMode

Methods

build :: ContainerMode -> ByteStringBuilder #

ToQuery ContainerMode Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ContainerMode

Methods

toQuery :: ContainerMode -> QueryString #

FromText ContainerMode Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ContainerMode

Methods

fromText :: Text -> Either String ContainerMode #

ToText ContainerMode Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ContainerMode

Methods

toText :: ContainerMode -> Text #

FromXML ContainerMode Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ContainerMode

Methods

parseXML :: [Node] -> Either String ContainerMode #

ToXML ContainerMode Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ContainerMode

Methods

toXML :: ContainerMode -> XML #

Generic ContainerMode Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ContainerMode

Associated Types

type Rep ContainerMode :: Type -> Type #

Methods

from :: ContainerMode -> Rep ContainerMode x #

to :: Rep ContainerMode x -> ContainerMode #

Read ContainerMode Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ContainerMode

Methods

readsPrec :: Int -> ReadS ContainerMode #

readList :: ReadS [ContainerMode] #

readPrec :: ReadPrec ContainerMode #

readListPrec :: ReadPrec [ContainerMode] #

Show ContainerMode Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ContainerMode

Methods

showsPrec :: Int -> ContainerMode -> ShowS #

show :: ContainerMode -> String #

showList :: [ContainerMode] -> ShowS #

NFData ContainerMode Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ContainerMode

Methods

rnf :: ContainerMode -> () #

Eq ContainerMode Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ContainerMode

Methods

(==) :: ContainerMode -> ContainerMode -> Bool #

(/=) :: ContainerMode -> ContainerMode -> Bool #

Ord ContainerMode Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ContainerMode

Methods

compare :: ContainerMode -> ContainerMode -> Ordering #

(<) :: ContainerMode -> ContainerMode -> Bool #

(<=) :: ContainerMode -> ContainerMode -> Bool #

(>) :: ContainerMode -> ContainerMode -> Bool #

(>=) :: ContainerMode -> ContainerMode -> Bool #

max :: ContainerMode -> ContainerMode -> ContainerMode #

min :: ContainerMode -> ContainerMode -> ContainerMode #

Hashable ContainerMode Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ContainerMode

Methods

hashWithSalt :: Int -> ContainerMode -> Int #

hash :: ContainerMode -> Int #

type Rep ContainerMode Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ContainerMode

type Rep ContainerMode = D1 ('MetaData "ContainerMode" "Amazonka.SageMaker.Types.ContainerMode" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'True) (C1 ('MetaCons "ContainerMode'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromContainerMode") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

ContentClassifier

newtype ContentClassifier Source #

Constructors

ContentClassifier' 

Fields

Bundled Patterns

pattern ContentClassifier_FreeOfAdultContent :: ContentClassifier 
pattern ContentClassifier_FreeOfPersonallyIdentifiableInformation :: ContentClassifier 

Instances

Instances details
FromJSON ContentClassifier Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ContentClassifier

Methods

parseJSON :: Value -> Parser ContentClassifier #

parseJSONList :: Value -> Parser [ContentClassifier] #

FromJSONKey ContentClassifier Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ContentClassifier

Methods

fromJSONKey :: FromJSONKeyFunction ContentClassifier #

fromJSONKeyList :: FromJSONKeyFunction [ContentClassifier] #

ToJSON ContentClassifier Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ContentClassifier

Methods

toJSON :: ContentClassifier -> Value #

toEncoding :: ContentClassifier -> Encoding #

toJSONList :: [ContentClassifier] -> Value #

toEncodingList :: [ContentClassifier] -> Encoding #

ToJSONKey ContentClassifier Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ContentClassifier

Methods

toJSONKey :: ToJSONKeyFunction ContentClassifier #

toJSONKeyList :: ToJSONKeyFunction [ContentClassifier] #

ToByteString ContentClassifier Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ContentClassifier

Methods

toBS :: ContentClassifier -> ByteString #

ToHeader ContentClassifier Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ContentClassifier

Methods

toHeader :: HeaderName -> ContentClassifier -> [Header] #

ToLog ContentClassifier Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ContentClassifier

Methods

build :: ContentClassifier -> ByteStringBuilder #

ToQuery ContentClassifier Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ContentClassifier

Methods

toQuery :: ContentClassifier -> QueryString #

FromText ContentClassifier Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ContentClassifier

Methods

fromText :: Text -> Either String ContentClassifier #

ToText ContentClassifier Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ContentClassifier

Methods

toText :: ContentClassifier -> Text #

FromXML ContentClassifier Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ContentClassifier

Methods

parseXML :: [Node] -> Either String ContentClassifier #

ToXML ContentClassifier Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ContentClassifier

Methods

toXML :: ContentClassifier -> XML #

Generic ContentClassifier Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ContentClassifier

Associated Types

type Rep ContentClassifier :: Type -> Type #

Methods

from :: ContentClassifier -> Rep ContentClassifier x #

to :: Rep ContentClassifier x -> ContentClassifier #

Read ContentClassifier Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ContentClassifier

Methods

readsPrec :: Int -> ReadS ContentClassifier #

readList :: ReadS [ContentClassifier] #

readPrec :: ReadPrec ContentClassifier #

readListPrec :: ReadPrec [ContentClassifier] #

Show ContentClassifier Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ContentClassifier

Methods

showsPrec :: Int -> ContentClassifier -> ShowS #

show :: ContentClassifier -> String #

showList :: [ContentClassifier] -> ShowS #

NFData ContentClassifier Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ContentClassifier

Methods

rnf :: ContentClassifier -> () #

Eq ContentClassifier Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ContentClassifier

Methods

(==) :: ContentClassifier -> ContentClassifier -> Bool #

(/=) :: ContentClassifier -> ContentClassifier -> Bool #

Ord ContentClassifier Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ContentClassifier

Methods

compare :: ContentClassifier -> ContentClassifier -> Ordering #

(<) :: ContentClassifier -> ContentClassifier -> Bool #

(<=) :: ContentClassifier -> ContentClassifier -> Bool #

(>) :: ContentClassifier -> ContentClassifier -> Bool #

(>=) :: ContentClassifier -> ContentClassifier -> Bool #

max :: ContentClassifier -> ContentClassifier -> ContentClassifier #

min :: ContentClassifier -> ContentClassifier -> ContentClassifier #

Hashable ContentClassifier Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ContentClassifier

Methods

hashWithSalt :: Int -> ContentClassifier -> Int #

hash :: ContentClassifier -> Int #

type Rep ContentClassifier Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ContentClassifier

type Rep ContentClassifier = D1 ('MetaData "ContentClassifier" "Amazonka.SageMaker.Types.ContentClassifier" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'True) (C1 ('MetaCons "ContentClassifier'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromContentClassifier") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

DataDistributionType

newtype DataDistributionType Source #

Constructors

DataDistributionType' 

Fields

Bundled Patterns

pattern DataDistributionType_FullyReplicated :: DataDistributionType 
pattern DataDistributionType_ShardedByS3Key :: DataDistributionType 

Instances

Instances details
FromJSON DataDistributionType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DataDistributionType

Methods

parseJSON :: Value -> Parser DataDistributionType #

parseJSONList :: Value -> Parser [DataDistributionType] #

FromJSONKey DataDistributionType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DataDistributionType

Methods

fromJSONKey :: FromJSONKeyFunction DataDistributionType #

fromJSONKeyList :: FromJSONKeyFunction [DataDistributionType] #

ToJSON DataDistributionType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DataDistributionType

Methods

toJSON :: DataDistributionType -> Value #

toEncoding :: DataDistributionType -> Encoding #

toJSONList :: [DataDistributionType] -> Value #

toEncodingList :: [DataDistributionType] -> Encoding #

ToJSONKey DataDistributionType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DataDistributionType

Methods

toJSONKey :: ToJSONKeyFunction DataDistributionType #

toJSONKeyList :: ToJSONKeyFunction [DataDistributionType] #

ToByteString DataDistributionType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DataDistributionType

Methods

toBS :: DataDistributionType -> ByteString #

ToHeader DataDistributionType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DataDistributionType

Methods

toHeader :: HeaderName -> DataDistributionType -> [Header] #

ToLog DataDistributionType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DataDistributionType

Methods

build :: DataDistributionType -> ByteStringBuilder #

ToQuery DataDistributionType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DataDistributionType

Methods

toQuery :: DataDistributionType -> QueryString #

FromText DataDistributionType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DataDistributionType

Methods

fromText :: Text -> Either String DataDistributionType #

ToText DataDistributionType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DataDistributionType

Methods

toText :: DataDistributionType -> Text #

FromXML DataDistributionType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DataDistributionType

Methods

parseXML :: [Node] -> Either String DataDistributionType #

ToXML DataDistributionType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DataDistributionType

Methods

toXML :: DataDistributionType -> XML #

Generic DataDistributionType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DataDistributionType

Associated Types

type Rep DataDistributionType :: Type -> Type #

Methods

from :: DataDistributionType -> Rep DataDistributionType x #

to :: Rep DataDistributionType x -> DataDistributionType #

Read DataDistributionType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DataDistributionType

Methods

readsPrec :: Int -> ReadS DataDistributionType #

readList :: ReadS [DataDistributionType] #

readPrec :: ReadPrec DataDistributionType #

readListPrec :: ReadPrec [DataDistributionType] #

Show DataDistributionType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DataDistributionType

Methods

showsPrec :: Int -> DataDistributionType -> ShowS #

show :: DataDistributionType -> String #

showList :: [DataDistributionType] -> ShowS #

NFData DataDistributionType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DataDistributionType

Methods

rnf :: DataDistributionType -> () #

Eq DataDistributionType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DataDistributionType

Methods

(==) :: DataDistributionType -> DataDistributionType -> Bool #

(/=) :: DataDistributionType -> DataDistributionType -> Bool #

Ord DataDistributionType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DataDistributionType

Methods

compare :: DataDistributionType -> DataDistributionType -> Ordering #

(<) :: DataDistributionType -> DataDistributionType -> Bool #

(<=) :: DataDistributionType -> DataDistributionType -> Bool #

(>) :: DataDistributionType -> DataDistributionType -> Bool #

(>=) :: DataDistributionType -> DataDistributionType -> Bool #

max :: DataDistributionType -> DataDistributionType -> DataDistributionType #

min :: DataDistributionType -> DataDistributionType -> DataDistributionType #

Hashable DataDistributionType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DataDistributionType

Methods

hashWithSalt :: Int -> DataDistributionType -> Int #

hash :: DataDistributionType -> Int #

type Rep DataDistributionType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DataDistributionType

type Rep DataDistributionType = D1 ('MetaData "DataDistributionType" "Amazonka.SageMaker.Types.DataDistributionType" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'True) (C1 ('MetaCons "DataDistributionType'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromDataDistributionType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

DetailedAlgorithmStatus

newtype DetailedAlgorithmStatus Source #

Constructors

DetailedAlgorithmStatus' 

Fields

Bundled Patterns

pattern DetailedAlgorithmStatus_Completed :: DetailedAlgorithmStatus 
pattern DetailedAlgorithmStatus_Failed :: DetailedAlgorithmStatus 
pattern DetailedAlgorithmStatus_InProgress :: DetailedAlgorithmStatus 
pattern DetailedAlgorithmStatus_NotStarted :: DetailedAlgorithmStatus 

Instances

Instances details
FromJSON DetailedAlgorithmStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DetailedAlgorithmStatus

Methods

parseJSON :: Value -> Parser DetailedAlgorithmStatus #

parseJSONList :: Value -> Parser [DetailedAlgorithmStatus] #

FromJSONKey DetailedAlgorithmStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DetailedAlgorithmStatus

Methods

fromJSONKey :: FromJSONKeyFunction DetailedAlgorithmStatus #

fromJSONKeyList :: FromJSONKeyFunction [DetailedAlgorithmStatus] #

ToJSON DetailedAlgorithmStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DetailedAlgorithmStatus

Methods

toJSON :: DetailedAlgorithmStatus -> Value #

toEncoding :: DetailedAlgorithmStatus -> Encoding #

toJSONList :: [DetailedAlgorithmStatus] -> Value #

toEncodingList :: [DetailedAlgorithmStatus] -> Encoding #

ToJSONKey DetailedAlgorithmStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DetailedAlgorithmStatus

Methods

toJSONKey :: ToJSONKeyFunction DetailedAlgorithmStatus #

toJSONKeyList :: ToJSONKeyFunction [DetailedAlgorithmStatus] #

ToByteString DetailedAlgorithmStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DetailedAlgorithmStatus

Methods

toBS :: DetailedAlgorithmStatus -> ByteString #

ToHeader DetailedAlgorithmStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DetailedAlgorithmStatus

Methods

toHeader :: HeaderName -> DetailedAlgorithmStatus -> [Header] #

ToLog DetailedAlgorithmStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DetailedAlgorithmStatus

Methods

build :: DetailedAlgorithmStatus -> ByteStringBuilder #

ToQuery DetailedAlgorithmStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DetailedAlgorithmStatus

Methods

toQuery :: DetailedAlgorithmStatus -> QueryString #

FromText DetailedAlgorithmStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DetailedAlgorithmStatus

Methods

fromText :: Text -> Either String DetailedAlgorithmStatus #

ToText DetailedAlgorithmStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DetailedAlgorithmStatus

Methods

toText :: DetailedAlgorithmStatus -> Text #

FromXML DetailedAlgorithmStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DetailedAlgorithmStatus

Methods

parseXML :: [Node] -> Either String DetailedAlgorithmStatus #

ToXML DetailedAlgorithmStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DetailedAlgorithmStatus

Methods

toXML :: DetailedAlgorithmStatus -> XML #

Generic DetailedAlgorithmStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DetailedAlgorithmStatus

Associated Types

type Rep DetailedAlgorithmStatus :: Type -> Type #

Methods

from :: DetailedAlgorithmStatus -> Rep DetailedAlgorithmStatus x #

to :: Rep DetailedAlgorithmStatus x -> DetailedAlgorithmStatus #

Read DetailedAlgorithmStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DetailedAlgorithmStatus

Methods

readsPrec :: Int -> ReadS DetailedAlgorithmStatus #

readList :: ReadS [DetailedAlgorithmStatus] #

readPrec :: ReadPrec DetailedAlgorithmStatus #

readListPrec :: ReadPrec [DetailedAlgorithmStatus] #

Show DetailedAlgorithmStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DetailedAlgorithmStatus

Methods

showsPrec :: Int -> DetailedAlgorithmStatus -> ShowS #

show :: DetailedAlgorithmStatus -> String #

showList :: [DetailedAlgorithmStatus] -> ShowS #

NFData DetailedAlgorithmStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DetailedAlgorithmStatus

Methods

rnf :: DetailedAlgorithmStatus -> () #

Eq DetailedAlgorithmStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DetailedAlgorithmStatus

Methods

(==) :: DetailedAlgorithmStatus -> DetailedAlgorithmStatus -> Bool #

(/=) :: DetailedAlgorithmStatus -> DetailedAlgorithmStatus -> Bool #

Ord DetailedAlgorithmStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DetailedAlgorithmStatus

Methods

compare :: DetailedAlgorithmStatus -> DetailedAlgorithmStatus -> Ordering #

(<) :: DetailedAlgorithmStatus -> DetailedAlgorithmStatus -> Bool #

(<=) :: DetailedAlgorithmStatus -> DetailedAlgorithmStatus -> Bool #

(>) :: DetailedAlgorithmStatus -> DetailedAlgorithmStatus -> Bool #

(>=) :: DetailedAlgorithmStatus -> DetailedAlgorithmStatus -> Bool #

max :: DetailedAlgorithmStatus -> DetailedAlgorithmStatus -> DetailedAlgorithmStatus #

min :: DetailedAlgorithmStatus -> DetailedAlgorithmStatus -> DetailedAlgorithmStatus #

Hashable DetailedAlgorithmStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DetailedAlgorithmStatus

Methods

hashWithSalt :: Int -> DetailedAlgorithmStatus -> Int #

hash :: DetailedAlgorithmStatus -> Int #

type Rep DetailedAlgorithmStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DetailedAlgorithmStatus

type Rep DetailedAlgorithmStatus = D1 ('MetaData "DetailedAlgorithmStatus" "Amazonka.SageMaker.Types.DetailedAlgorithmStatus" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'True) (C1 ('MetaCons "DetailedAlgorithmStatus'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromDetailedAlgorithmStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

DetailedModelPackageStatus

newtype DetailedModelPackageStatus Source #

Constructors

DetailedModelPackageStatus' 

Fields

Bundled Patterns

pattern DetailedModelPackageStatus_Completed :: DetailedModelPackageStatus 
pattern DetailedModelPackageStatus_Failed :: DetailedModelPackageStatus 
pattern DetailedModelPackageStatus_InProgress :: DetailedModelPackageStatus 
pattern DetailedModelPackageStatus_NotStarted :: DetailedModelPackageStatus 

Instances

Instances details
FromJSON DetailedModelPackageStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DetailedModelPackageStatus

Methods

parseJSON :: Value -> Parser DetailedModelPackageStatus #

parseJSONList :: Value -> Parser [DetailedModelPackageStatus] #

FromJSONKey DetailedModelPackageStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DetailedModelPackageStatus

Methods

fromJSONKey :: FromJSONKeyFunction DetailedModelPackageStatus #

fromJSONKeyList :: FromJSONKeyFunction [DetailedModelPackageStatus] #

ToJSON DetailedModelPackageStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DetailedModelPackageStatus

Methods

toJSON :: DetailedModelPackageStatus -> Value #

toEncoding :: DetailedModelPackageStatus -> Encoding #

toJSONList :: [DetailedModelPackageStatus] -> Value #

toEncodingList :: [DetailedModelPackageStatus] -> Encoding #

ToJSONKey DetailedModelPackageStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DetailedModelPackageStatus

Methods

toJSONKey :: ToJSONKeyFunction DetailedModelPackageStatus #

toJSONKeyList :: ToJSONKeyFunction [DetailedModelPackageStatus] #

ToByteString DetailedModelPackageStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DetailedModelPackageStatus

Methods

toBS :: DetailedModelPackageStatus -> ByteString #

ToHeader DetailedModelPackageStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DetailedModelPackageStatus

Methods

toHeader :: HeaderName -> DetailedModelPackageStatus -> [Header] #

ToLog DetailedModelPackageStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DetailedModelPackageStatus

Methods

build :: DetailedModelPackageStatus -> ByteStringBuilder #

ToQuery DetailedModelPackageStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DetailedModelPackageStatus

Methods

toQuery :: DetailedModelPackageStatus -> QueryString #

FromText DetailedModelPackageStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DetailedModelPackageStatus

Methods

fromText :: Text -> Either String DetailedModelPackageStatus #

ToText DetailedModelPackageStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DetailedModelPackageStatus

Methods

toText :: DetailedModelPackageStatus -> Text #

FromXML DetailedModelPackageStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DetailedModelPackageStatus

Methods

parseXML :: [Node] -> Either String DetailedModelPackageStatus #

ToXML DetailedModelPackageStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DetailedModelPackageStatus

Methods

toXML :: DetailedModelPackageStatus -> XML #

Generic DetailedModelPackageStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DetailedModelPackageStatus

Associated Types

type Rep DetailedModelPackageStatus :: Type -> Type #

Methods

from :: DetailedModelPackageStatus -> Rep DetailedModelPackageStatus x #

to :: Rep DetailedModelPackageStatus x -> DetailedModelPackageStatus #

Read DetailedModelPackageStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DetailedModelPackageStatus

Methods

readsPrec :: Int -> ReadS DetailedModelPackageStatus #

readList :: ReadS [DetailedModelPackageStatus] #

readPrec :: ReadPrec DetailedModelPackageStatus #

readListPrec :: ReadPrec [DetailedModelPackageStatus] #

Show DetailedModelPackageStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DetailedModelPackageStatus

Methods

showsPrec :: Int -> DetailedModelPackageStatus -> ShowS #

show :: DetailedModelPackageStatus -> String #

showList :: [DetailedModelPackageStatus] -> ShowS #

NFData DetailedModelPackageStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DetailedModelPackageStatus

Methods

rnf :: DetailedModelPackageStatus -> () #

Eq DetailedModelPackageStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DetailedModelPackageStatus

Methods

(==) :: DetailedModelPackageStatus -> DetailedModelPackageStatus -> Bool #

(/=) :: DetailedModelPackageStatus -> DetailedModelPackageStatus -> Bool #

Ord DetailedModelPackageStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DetailedModelPackageStatus

Methods

compare :: DetailedModelPackageStatus -> DetailedModelPackageStatus -> Ordering #

(<) :: DetailedModelPackageStatus -> DetailedModelPackageStatus -> Bool #

(<=) :: DetailedModelPackageStatus -> DetailedModelPackageStatus -> Bool #

(>) :: DetailedModelPackageStatus -> DetailedModelPackageStatus -> Bool #

(>=) :: DetailedModelPackageStatus -> DetailedModelPackageStatus -> Bool #

max :: DetailedModelPackageStatus -> DetailedModelPackageStatus -> DetailedModelPackageStatus #

min :: DetailedModelPackageStatus -> DetailedModelPackageStatus -> DetailedModelPackageStatus #

Hashable DetailedModelPackageStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DetailedModelPackageStatus

Methods

hashWithSalt :: Int -> DetailedModelPackageStatus -> Int #

hash :: DetailedModelPackageStatus -> Int #

type Rep DetailedModelPackageStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DetailedModelPackageStatus

type Rep DetailedModelPackageStatus = D1 ('MetaData "DetailedModelPackageStatus" "Amazonka.SageMaker.Types.DetailedModelPackageStatus" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'True) (C1 ('MetaCons "DetailedModelPackageStatus'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromDetailedModelPackageStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

DeviceDeploymentStatus

newtype DeviceDeploymentStatus Source #

Constructors

DeviceDeploymentStatus' 

Fields

Bundled Patterns

pattern DeviceDeploymentStatus_DEPLOYED :: DeviceDeploymentStatus 
pattern DeviceDeploymentStatus_FAILED :: DeviceDeploymentStatus 
pattern DeviceDeploymentStatus_INPROGRESS :: DeviceDeploymentStatus 
pattern DeviceDeploymentStatus_READYTODEPLOY :: DeviceDeploymentStatus 
pattern DeviceDeploymentStatus_STOPPED :: DeviceDeploymentStatus 
pattern DeviceDeploymentStatus_STOPPING :: DeviceDeploymentStatus 

Instances

Instances details
FromJSON DeviceDeploymentStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DeviceDeploymentStatus

Methods

parseJSON :: Value -> Parser DeviceDeploymentStatus #

parseJSONList :: Value -> Parser [DeviceDeploymentStatus] #

FromJSONKey DeviceDeploymentStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DeviceDeploymentStatus

Methods

fromJSONKey :: FromJSONKeyFunction DeviceDeploymentStatus #

fromJSONKeyList :: FromJSONKeyFunction [DeviceDeploymentStatus] #

ToJSON DeviceDeploymentStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DeviceDeploymentStatus

Methods

toJSON :: DeviceDeploymentStatus -> Value #

toEncoding :: DeviceDeploymentStatus -> Encoding #

toJSONList :: [DeviceDeploymentStatus] -> Value #

toEncodingList :: [DeviceDeploymentStatus] -> Encoding #

ToJSONKey DeviceDeploymentStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DeviceDeploymentStatus

Methods

toJSONKey :: ToJSONKeyFunction DeviceDeploymentStatus #

toJSONKeyList :: ToJSONKeyFunction [DeviceDeploymentStatus] #

ToByteString DeviceDeploymentStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DeviceDeploymentStatus

Methods

toBS :: DeviceDeploymentStatus -> ByteString #

ToHeader DeviceDeploymentStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DeviceDeploymentStatus

Methods

toHeader :: HeaderName -> DeviceDeploymentStatus -> [Header] #

ToLog DeviceDeploymentStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DeviceDeploymentStatus

Methods

build :: DeviceDeploymentStatus -> ByteStringBuilder #

ToQuery DeviceDeploymentStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DeviceDeploymentStatus

Methods

toQuery :: DeviceDeploymentStatus -> QueryString #

FromText DeviceDeploymentStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DeviceDeploymentStatus

Methods

fromText :: Text -> Either String DeviceDeploymentStatus #

ToText DeviceDeploymentStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DeviceDeploymentStatus

Methods

toText :: DeviceDeploymentStatus -> Text #

FromXML DeviceDeploymentStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DeviceDeploymentStatus

Methods

parseXML :: [Node] -> Either String DeviceDeploymentStatus #

ToXML DeviceDeploymentStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DeviceDeploymentStatus

Methods

toXML :: DeviceDeploymentStatus -> XML #

Generic DeviceDeploymentStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DeviceDeploymentStatus

Associated Types

type Rep DeviceDeploymentStatus :: Type -> Type #

Methods

from :: DeviceDeploymentStatus -> Rep DeviceDeploymentStatus x #

to :: Rep DeviceDeploymentStatus x -> DeviceDeploymentStatus #

Read DeviceDeploymentStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DeviceDeploymentStatus

Methods

readsPrec :: Int -> ReadS DeviceDeploymentStatus #

readList :: ReadS [DeviceDeploymentStatus] #

readPrec :: ReadPrec DeviceDeploymentStatus #

readListPrec :: ReadPrec [DeviceDeploymentStatus] #

Show DeviceDeploymentStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DeviceDeploymentStatus

Methods

showsPrec :: Int -> DeviceDeploymentStatus -> ShowS #

show :: DeviceDeploymentStatus -> String #

showList :: [DeviceDeploymentStatus] -> ShowS #

NFData DeviceDeploymentStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DeviceDeploymentStatus

Methods

rnf :: DeviceDeploymentStatus -> () #

Eq DeviceDeploymentStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DeviceDeploymentStatus

Methods

(==) :: DeviceDeploymentStatus -> DeviceDeploymentStatus -> Bool #

(/=) :: DeviceDeploymentStatus -> DeviceDeploymentStatus -> Bool #

Ord DeviceDeploymentStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DeviceDeploymentStatus

Methods

compare :: DeviceDeploymentStatus -> DeviceDeploymentStatus -> Ordering #

(<) :: DeviceDeploymentStatus -> DeviceDeploymentStatus -> Bool #

(<=) :: DeviceDeploymentStatus -> DeviceDeploymentStatus -> Bool #

(>) :: DeviceDeploymentStatus -> DeviceDeploymentStatus -> Bool #

(>=) :: DeviceDeploymentStatus -> DeviceDeploymentStatus -> Bool #

max :: DeviceDeploymentStatus -> DeviceDeploymentStatus -> DeviceDeploymentStatus #

min :: DeviceDeploymentStatus -> DeviceDeploymentStatus -> DeviceDeploymentStatus #

Hashable DeviceDeploymentStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DeviceDeploymentStatus

Methods

hashWithSalt :: Int -> DeviceDeploymentStatus -> Int #

hash :: DeviceDeploymentStatus -> Int #

type Rep DeviceDeploymentStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DeviceDeploymentStatus

type Rep DeviceDeploymentStatus = D1 ('MetaData "DeviceDeploymentStatus" "Amazonka.SageMaker.Types.DeviceDeploymentStatus" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'True) (C1 ('MetaCons "DeviceDeploymentStatus'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromDeviceDeploymentStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

DeviceSubsetType

newtype DeviceSubsetType Source #

Constructors

DeviceSubsetType' 

Fields

Bundled Patterns

pattern DeviceSubsetType_NAMECONTAINS :: DeviceSubsetType 
pattern DeviceSubsetType_PERCENTAGE :: DeviceSubsetType 
pattern DeviceSubsetType_SELECTION :: DeviceSubsetType 

Instances

Instances details
FromJSON DeviceSubsetType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DeviceSubsetType

Methods

parseJSON :: Value -> Parser DeviceSubsetType #

parseJSONList :: Value -> Parser [DeviceSubsetType] #

FromJSONKey DeviceSubsetType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DeviceSubsetType

Methods

fromJSONKey :: FromJSONKeyFunction DeviceSubsetType #

fromJSONKeyList :: FromJSONKeyFunction [DeviceSubsetType] #

ToJSON DeviceSubsetType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DeviceSubsetType

Methods

toJSON :: DeviceSubsetType -> Value #

toEncoding :: DeviceSubsetType -> Encoding #

toJSONList :: [DeviceSubsetType] -> Value #

toEncodingList :: [DeviceSubsetType] -> Encoding #

ToJSONKey DeviceSubsetType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DeviceSubsetType

Methods

toJSONKey :: ToJSONKeyFunction DeviceSubsetType #

toJSONKeyList :: ToJSONKeyFunction [DeviceSubsetType] #

ToByteString DeviceSubsetType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DeviceSubsetType

Methods

toBS :: DeviceSubsetType -> ByteString #

ToHeader DeviceSubsetType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DeviceSubsetType

Methods

toHeader :: HeaderName -> DeviceSubsetType -> [Header] #

ToLog DeviceSubsetType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DeviceSubsetType

Methods

build :: DeviceSubsetType -> ByteStringBuilder #

ToQuery DeviceSubsetType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DeviceSubsetType

Methods

toQuery :: DeviceSubsetType -> QueryString #

FromText DeviceSubsetType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DeviceSubsetType

Methods

fromText :: Text -> Either String DeviceSubsetType #

ToText DeviceSubsetType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DeviceSubsetType

Methods

toText :: DeviceSubsetType -> Text #

FromXML DeviceSubsetType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DeviceSubsetType

Methods

parseXML :: [Node] -> Either String DeviceSubsetType #

ToXML DeviceSubsetType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DeviceSubsetType

Methods

toXML :: DeviceSubsetType -> XML #

Generic DeviceSubsetType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DeviceSubsetType

Associated Types

type Rep DeviceSubsetType :: Type -> Type #

Methods

from :: DeviceSubsetType -> Rep DeviceSubsetType x #

to :: Rep DeviceSubsetType x -> DeviceSubsetType #

Read DeviceSubsetType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DeviceSubsetType

Methods

readsPrec :: Int -> ReadS DeviceSubsetType #

readList :: ReadS [DeviceSubsetType] #

readPrec :: ReadPrec DeviceSubsetType #

readListPrec :: ReadPrec [DeviceSubsetType] #

Show DeviceSubsetType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DeviceSubsetType

Methods

showsPrec :: Int -> DeviceSubsetType -> ShowS #

show :: DeviceSubsetType -> String #

showList :: [DeviceSubsetType] -> ShowS #

NFData DeviceSubsetType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DeviceSubsetType

Methods

rnf :: DeviceSubsetType -> () #

Eq DeviceSubsetType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DeviceSubsetType

Methods

(==) :: DeviceSubsetType -> DeviceSubsetType -> Bool #

(/=) :: DeviceSubsetType -> DeviceSubsetType -> Bool #

Ord DeviceSubsetType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DeviceSubsetType

Methods

compare :: DeviceSubsetType -> DeviceSubsetType -> Ordering #

(<) :: DeviceSubsetType -> DeviceSubsetType -> Bool #

(<=) :: DeviceSubsetType -> DeviceSubsetType -> Bool #

(>) :: DeviceSubsetType -> DeviceSubsetType -> Bool #

(>=) :: DeviceSubsetType -> DeviceSubsetType -> Bool #

max :: DeviceSubsetType -> DeviceSubsetType -> DeviceSubsetType #

min :: DeviceSubsetType -> DeviceSubsetType -> DeviceSubsetType #

Hashable DeviceSubsetType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DeviceSubsetType

Methods

hashWithSalt :: Int -> DeviceSubsetType -> Int #

hash :: DeviceSubsetType -> Int #

type Rep DeviceSubsetType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DeviceSubsetType

type Rep DeviceSubsetType = D1 ('MetaData "DeviceSubsetType" "Amazonka.SageMaker.Types.DeviceSubsetType" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'True) (C1 ('MetaCons "DeviceSubsetType'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromDeviceSubsetType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

DirectInternetAccess

newtype DirectInternetAccess Source #

Constructors

DirectInternetAccess' 

Fields

Bundled Patterns

pattern DirectInternetAccess_Disabled :: DirectInternetAccess 
pattern DirectInternetAccess_Enabled :: DirectInternetAccess 

Instances

Instances details
FromJSON DirectInternetAccess Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DirectInternetAccess

Methods

parseJSON :: Value -> Parser DirectInternetAccess #

parseJSONList :: Value -> Parser [DirectInternetAccess] #

FromJSONKey DirectInternetAccess Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DirectInternetAccess

Methods

fromJSONKey :: FromJSONKeyFunction DirectInternetAccess #

fromJSONKeyList :: FromJSONKeyFunction [DirectInternetAccess] #

ToJSON DirectInternetAccess Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DirectInternetAccess

Methods

toJSON :: DirectInternetAccess -> Value #

toEncoding :: DirectInternetAccess -> Encoding #

toJSONList :: [DirectInternetAccess] -> Value #

toEncodingList :: [DirectInternetAccess] -> Encoding #

ToJSONKey DirectInternetAccess Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DirectInternetAccess

Methods

toJSONKey :: ToJSONKeyFunction DirectInternetAccess #

toJSONKeyList :: ToJSONKeyFunction [DirectInternetAccess] #

ToByteString DirectInternetAccess Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DirectInternetAccess

Methods

toBS :: DirectInternetAccess -> ByteString #

ToHeader DirectInternetAccess Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DirectInternetAccess

Methods

toHeader :: HeaderName -> DirectInternetAccess -> [Header] #

ToLog DirectInternetAccess Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DirectInternetAccess

Methods

build :: DirectInternetAccess -> ByteStringBuilder #

ToQuery DirectInternetAccess Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DirectInternetAccess

Methods

toQuery :: DirectInternetAccess -> QueryString #

FromText DirectInternetAccess Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DirectInternetAccess

Methods

fromText :: Text -> Either String DirectInternetAccess #

ToText DirectInternetAccess Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DirectInternetAccess

Methods

toText :: DirectInternetAccess -> Text #

FromXML DirectInternetAccess Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DirectInternetAccess

Methods

parseXML :: [Node] -> Either String DirectInternetAccess #

ToXML DirectInternetAccess Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DirectInternetAccess

Methods

toXML :: DirectInternetAccess -> XML #

Generic DirectInternetAccess Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DirectInternetAccess

Associated Types

type Rep DirectInternetAccess :: Type -> Type #

Methods

from :: DirectInternetAccess -> Rep DirectInternetAccess x #

to :: Rep DirectInternetAccess x -> DirectInternetAccess #

Read DirectInternetAccess Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DirectInternetAccess

Methods

readsPrec :: Int -> ReadS DirectInternetAccess #

readList :: ReadS [DirectInternetAccess] #

readPrec :: ReadPrec DirectInternetAccess #

readListPrec :: ReadPrec [DirectInternetAccess] #

Show DirectInternetAccess Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DirectInternetAccess

Methods

showsPrec :: Int -> DirectInternetAccess -> ShowS #

show :: DirectInternetAccess -> String #

showList :: [DirectInternetAccess] -> ShowS #

NFData DirectInternetAccess Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DirectInternetAccess

Methods

rnf :: DirectInternetAccess -> () #

Eq DirectInternetAccess Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DirectInternetAccess

Methods

(==) :: DirectInternetAccess -> DirectInternetAccess -> Bool #

(/=) :: DirectInternetAccess -> DirectInternetAccess -> Bool #

Ord DirectInternetAccess Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DirectInternetAccess

Methods

compare :: DirectInternetAccess -> DirectInternetAccess -> Ordering #

(<) :: DirectInternetAccess -> DirectInternetAccess -> Bool #

(<=) :: DirectInternetAccess -> DirectInternetAccess -> Bool #

(>) :: DirectInternetAccess -> DirectInternetAccess -> Bool #

(>=) :: DirectInternetAccess -> DirectInternetAccess -> Bool #

max :: DirectInternetAccess -> DirectInternetAccess -> DirectInternetAccess #

min :: DirectInternetAccess -> DirectInternetAccess -> DirectInternetAccess #

Hashable DirectInternetAccess Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DirectInternetAccess

Methods

hashWithSalt :: Int -> DirectInternetAccess -> Int #

hash :: DirectInternetAccess -> Int #

type Rep DirectInternetAccess Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DirectInternetAccess

type Rep DirectInternetAccess = D1 ('MetaData "DirectInternetAccess" "Amazonka.SageMaker.Types.DirectInternetAccess" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'True) (C1 ('MetaCons "DirectInternetAccess'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromDirectInternetAccess") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

Direction

newtype Direction Source #

Constructors

Direction' 

Fields

Bundled Patterns

pattern Direction_Ascendants :: Direction 
pattern Direction_Both :: Direction 
pattern Direction_Descendants :: Direction 

Instances

Instances details
FromJSON Direction Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Direction

Methods

parseJSON :: Value -> Parser Direction #

parseJSONList :: Value -> Parser [Direction] #

FromJSONKey Direction Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Direction

Methods

fromJSONKey :: FromJSONKeyFunction Direction #

fromJSONKeyList :: FromJSONKeyFunction [Direction] #

ToJSON Direction Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Direction

Methods

toJSON :: Direction -> Value #

toEncoding :: Direction -> Encoding #

toJSONList :: [Direction] -> Value #

toEncodingList :: [Direction] -> Encoding #

ToJSONKey Direction Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Direction

Methods

toJSONKey :: ToJSONKeyFunction Direction #

toJSONKeyList :: ToJSONKeyFunction [Direction] #

ToByteString Direction Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Direction

Methods

toBS :: Direction -> ByteString #

ToHeader Direction Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Direction

Methods

toHeader :: HeaderName -> Direction -> [Header] #

ToLog Direction Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Direction

Methods

build :: Direction -> ByteStringBuilder #

ToQuery Direction Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Direction

Methods

toQuery :: Direction -> QueryString #

FromText Direction Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Direction

Methods

fromText :: Text -> Either String Direction #

ToText Direction Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Direction

Methods

toText :: Direction -> Text #

FromXML Direction Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Direction

Methods

parseXML :: [Node] -> Either String Direction #

ToXML Direction Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Direction

Methods

toXML :: Direction -> XML #

Generic Direction Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Direction

Associated Types

type Rep Direction :: Type -> Type #

Methods

from :: Direction -> Rep Direction x #

to :: Rep Direction x -> Direction #

Read Direction Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Direction

Methods

readsPrec :: Int -> ReadS Direction #

readList :: ReadS [Direction] #

readPrec :: ReadPrec Direction #

readListPrec :: ReadPrec [Direction] #

Show Direction Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Direction

Methods

showsPrec :: Int -> Direction -> ShowS #

show :: Direction -> String #

showList :: [Direction] -> ShowS #

NFData Direction Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Direction

Methods

rnf :: Direction -> () #

Eq Direction Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Direction

Methods

(==) :: Direction -> Direction -> Bool #

(/=) :: Direction -> Direction -> Bool #

Ord Direction Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Direction

Methods

compare :: Direction -> Direction -> Ordering #

(<) :: Direction -> Direction -> Bool #

(<=) :: Direction -> Direction -> Bool #

(>) :: Direction -> Direction -> Bool #

(>=) :: Direction -> Direction -> Bool #

max :: Direction -> Direction -> Direction #

min :: Direction -> Direction -> Direction #

Hashable Direction Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Direction

Methods

hashWithSalt :: Int -> Direction -> Int #

hash :: Direction -> Int #

type Rep Direction Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Direction

type Rep Direction = D1 ('MetaData "Direction" "Amazonka.SageMaker.Types.Direction" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'True) (C1 ('MetaCons "Direction'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromDirection") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

DomainStatus

newtype DomainStatus Source #

Constructors

DomainStatus' 

Fields

Bundled Patterns

pattern DomainStatus_Delete_Failed :: DomainStatus 
pattern DomainStatus_Deleting :: DomainStatus 
pattern DomainStatus_Failed :: DomainStatus 
pattern DomainStatus_InService :: DomainStatus 
pattern DomainStatus_Pending :: DomainStatus 
pattern DomainStatus_Update_Failed :: DomainStatus 
pattern DomainStatus_Updating :: DomainStatus 

Instances

Instances details
FromJSON DomainStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DomainStatus

Methods

parseJSON :: Value -> Parser DomainStatus #

parseJSONList :: Value -> Parser [DomainStatus] #

FromJSONKey DomainStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DomainStatus

Methods

fromJSONKey :: FromJSONKeyFunction DomainStatus #

fromJSONKeyList :: FromJSONKeyFunction [DomainStatus] #

ToJSON DomainStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DomainStatus

Methods

toJSON :: DomainStatus -> Value #

toEncoding :: DomainStatus -> Encoding #

toJSONList :: [DomainStatus] -> Value #

toEncodingList :: [DomainStatus] -> Encoding #

ToJSONKey DomainStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DomainStatus

Methods

toJSONKey :: ToJSONKeyFunction DomainStatus #

toJSONKeyList :: ToJSONKeyFunction [DomainStatus] #

ToByteString DomainStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DomainStatus

Methods

toBS :: DomainStatus -> ByteString #

ToHeader DomainStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DomainStatus

Methods

toHeader :: HeaderName -> DomainStatus -> [Header] #

ToLog DomainStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DomainStatus

Methods

build :: DomainStatus -> ByteStringBuilder #

ToQuery DomainStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DomainStatus

Methods

toQuery :: DomainStatus -> QueryString #

FromText DomainStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DomainStatus

Methods

fromText :: Text -> Either String DomainStatus #

ToText DomainStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DomainStatus

Methods

toText :: DomainStatus -> Text #

FromXML DomainStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DomainStatus

Methods

parseXML :: [Node] -> Either String DomainStatus #

ToXML DomainStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DomainStatus

Methods

toXML :: DomainStatus -> XML #

Generic DomainStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DomainStatus

Associated Types

type Rep DomainStatus :: Type -> Type #

Methods

from :: DomainStatus -> Rep DomainStatus x #

to :: Rep DomainStatus x -> DomainStatus #

Read DomainStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DomainStatus

Methods

readsPrec :: Int -> ReadS DomainStatus #

readList :: ReadS [DomainStatus] #

readPrec :: ReadPrec DomainStatus #

readListPrec :: ReadPrec [DomainStatus] #

Show DomainStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DomainStatus

Methods

showsPrec :: Int -> DomainStatus -> ShowS #

show :: DomainStatus -> String #

showList :: [DomainStatus] -> ShowS #

NFData DomainStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DomainStatus

Methods

rnf :: DomainStatus -> () #

Eq DomainStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DomainStatus

Methods

(==) :: DomainStatus -> DomainStatus -> Bool #

(/=) :: DomainStatus -> DomainStatus -> Bool #

Ord DomainStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DomainStatus

Methods

compare :: DomainStatus -> DomainStatus -> Ordering #

(<) :: DomainStatus -> DomainStatus -> Bool #

(<=) :: DomainStatus -> DomainStatus -> Bool #

(>) :: DomainStatus -> DomainStatus -> Bool #

(>=) :: DomainStatus -> DomainStatus -> Bool #

max :: DomainStatus -> DomainStatus -> DomainStatus #

min :: DomainStatus -> DomainStatus -> DomainStatus #

Hashable DomainStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DomainStatus

Methods

hashWithSalt :: Int -> DomainStatus -> Int #

hash :: DomainStatus -> Int #

type Rep DomainStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DomainStatus

type Rep DomainStatus = D1 ('MetaData "DomainStatus" "Amazonka.SageMaker.Types.DomainStatus" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'True) (C1 ('MetaCons "DomainStatus'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromDomainStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

EdgePackagingJobStatus

newtype EdgePackagingJobStatus Source #

Constructors

EdgePackagingJobStatus' 

Fields

Bundled Patterns

pattern EdgePackagingJobStatus_COMPLETED :: EdgePackagingJobStatus 
pattern EdgePackagingJobStatus_FAILED :: EdgePackagingJobStatus 
pattern EdgePackagingJobStatus_INPROGRESS :: EdgePackagingJobStatus 
pattern EdgePackagingJobStatus_STARTING :: EdgePackagingJobStatus 
pattern EdgePackagingJobStatus_STOPPED :: EdgePackagingJobStatus 
pattern EdgePackagingJobStatus_STOPPING :: EdgePackagingJobStatus 

Instances

Instances details
FromJSON EdgePackagingJobStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EdgePackagingJobStatus

Methods

parseJSON :: Value -> Parser EdgePackagingJobStatus #

parseJSONList :: Value -> Parser [EdgePackagingJobStatus] #

FromJSONKey EdgePackagingJobStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EdgePackagingJobStatus

Methods

fromJSONKey :: FromJSONKeyFunction EdgePackagingJobStatus #

fromJSONKeyList :: FromJSONKeyFunction [EdgePackagingJobStatus] #

ToJSON EdgePackagingJobStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EdgePackagingJobStatus

Methods

toJSON :: EdgePackagingJobStatus -> Value #

toEncoding :: EdgePackagingJobStatus -> Encoding #

toJSONList :: [EdgePackagingJobStatus] -> Value #

toEncodingList :: [EdgePackagingJobStatus] -> Encoding #

ToJSONKey EdgePackagingJobStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EdgePackagingJobStatus

Methods

toJSONKey :: ToJSONKeyFunction EdgePackagingJobStatus #

toJSONKeyList :: ToJSONKeyFunction [EdgePackagingJobStatus] #

ToByteString EdgePackagingJobStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EdgePackagingJobStatus

Methods

toBS :: EdgePackagingJobStatus -> ByteString #

ToHeader EdgePackagingJobStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EdgePackagingJobStatus

Methods

toHeader :: HeaderName -> EdgePackagingJobStatus -> [Header] #

ToLog EdgePackagingJobStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EdgePackagingJobStatus

Methods

build :: EdgePackagingJobStatus -> ByteStringBuilder #

ToQuery EdgePackagingJobStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EdgePackagingJobStatus

Methods

toQuery :: EdgePackagingJobStatus -> QueryString #

FromText EdgePackagingJobStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EdgePackagingJobStatus

Methods

fromText :: Text -> Either String EdgePackagingJobStatus #

ToText EdgePackagingJobStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EdgePackagingJobStatus

Methods

toText :: EdgePackagingJobStatus -> Text #

FromXML EdgePackagingJobStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EdgePackagingJobStatus

Methods

parseXML :: [Node] -> Either String EdgePackagingJobStatus #

ToXML EdgePackagingJobStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EdgePackagingJobStatus

Methods

toXML :: EdgePackagingJobStatus -> XML #

Generic EdgePackagingJobStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EdgePackagingJobStatus

Associated Types

type Rep EdgePackagingJobStatus :: Type -> Type #

Methods

from :: EdgePackagingJobStatus -> Rep EdgePackagingJobStatus x #

to :: Rep EdgePackagingJobStatus x -> EdgePackagingJobStatus #

Read EdgePackagingJobStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EdgePackagingJobStatus

Methods

readsPrec :: Int -> ReadS EdgePackagingJobStatus #

readList :: ReadS [EdgePackagingJobStatus] #

readPrec :: ReadPrec EdgePackagingJobStatus #

readListPrec :: ReadPrec [EdgePackagingJobStatus] #

Show EdgePackagingJobStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EdgePackagingJobStatus

Methods

showsPrec :: Int -> EdgePackagingJobStatus -> ShowS #

show :: EdgePackagingJobStatus -> String #

showList :: [EdgePackagingJobStatus] -> ShowS #

NFData EdgePackagingJobStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EdgePackagingJobStatus

Methods

rnf :: EdgePackagingJobStatus -> () #

Eq EdgePackagingJobStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EdgePackagingJobStatus

Methods

(==) :: EdgePackagingJobStatus -> EdgePackagingJobStatus -> Bool #

(/=) :: EdgePackagingJobStatus -> EdgePackagingJobStatus -> Bool #

Ord EdgePackagingJobStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EdgePackagingJobStatus

Methods

compare :: EdgePackagingJobStatus -> EdgePackagingJobStatus -> Ordering #

(<) :: EdgePackagingJobStatus -> EdgePackagingJobStatus -> Bool #

(<=) :: EdgePackagingJobStatus -> EdgePackagingJobStatus -> Bool #

(>) :: EdgePackagingJobStatus -> EdgePackagingJobStatus -> Bool #

(>=) :: EdgePackagingJobStatus -> EdgePackagingJobStatus -> Bool #

max :: EdgePackagingJobStatus -> EdgePackagingJobStatus -> EdgePackagingJobStatus #

min :: EdgePackagingJobStatus -> EdgePackagingJobStatus -> EdgePackagingJobStatus #

Hashable EdgePackagingJobStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EdgePackagingJobStatus

Methods

hashWithSalt :: Int -> EdgePackagingJobStatus -> Int #

hash :: EdgePackagingJobStatus -> Int #

type Rep EdgePackagingJobStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EdgePackagingJobStatus

type Rep EdgePackagingJobStatus = D1 ('MetaData "EdgePackagingJobStatus" "Amazonka.SageMaker.Types.EdgePackagingJobStatus" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'True) (C1 ('MetaCons "EdgePackagingJobStatus'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromEdgePackagingJobStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

EdgePresetDeploymentStatus

newtype EdgePresetDeploymentStatus Source #

Constructors

EdgePresetDeploymentStatus' 

Fields

Bundled Patterns

pattern EdgePresetDeploymentStatus_COMPLETED :: EdgePresetDeploymentStatus 
pattern EdgePresetDeploymentStatus_FAILED :: EdgePresetDeploymentStatus 

Instances

Instances details
FromJSON EdgePresetDeploymentStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EdgePresetDeploymentStatus

Methods

parseJSON :: Value -> Parser EdgePresetDeploymentStatus #

parseJSONList :: Value -> Parser [EdgePresetDeploymentStatus] #

FromJSONKey EdgePresetDeploymentStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EdgePresetDeploymentStatus

Methods

fromJSONKey :: FromJSONKeyFunction EdgePresetDeploymentStatus #

fromJSONKeyList :: FromJSONKeyFunction [EdgePresetDeploymentStatus] #

ToJSON EdgePresetDeploymentStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EdgePresetDeploymentStatus

Methods

toJSON :: EdgePresetDeploymentStatus -> Value #

toEncoding :: EdgePresetDeploymentStatus -> Encoding #

toJSONList :: [EdgePresetDeploymentStatus] -> Value #

toEncodingList :: [EdgePresetDeploymentStatus] -> Encoding #

ToJSONKey EdgePresetDeploymentStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EdgePresetDeploymentStatus

Methods

toJSONKey :: ToJSONKeyFunction EdgePresetDeploymentStatus #

toJSONKeyList :: ToJSONKeyFunction [EdgePresetDeploymentStatus] #

ToByteString EdgePresetDeploymentStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EdgePresetDeploymentStatus

Methods

toBS :: EdgePresetDeploymentStatus -> ByteString #

ToHeader EdgePresetDeploymentStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EdgePresetDeploymentStatus

Methods

toHeader :: HeaderName -> EdgePresetDeploymentStatus -> [Header] #

ToLog EdgePresetDeploymentStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EdgePresetDeploymentStatus

Methods

build :: EdgePresetDeploymentStatus -> ByteStringBuilder #

ToQuery EdgePresetDeploymentStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EdgePresetDeploymentStatus

Methods

toQuery :: EdgePresetDeploymentStatus -> QueryString #

FromText EdgePresetDeploymentStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EdgePresetDeploymentStatus

Methods

fromText :: Text -> Either String EdgePresetDeploymentStatus #

ToText EdgePresetDeploymentStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EdgePresetDeploymentStatus

Methods

toText :: EdgePresetDeploymentStatus -> Text #

FromXML EdgePresetDeploymentStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EdgePresetDeploymentStatus

Methods

parseXML :: [Node] -> Either String EdgePresetDeploymentStatus #

ToXML EdgePresetDeploymentStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EdgePresetDeploymentStatus

Methods

toXML :: EdgePresetDeploymentStatus -> XML #

Generic EdgePresetDeploymentStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EdgePresetDeploymentStatus

Associated Types

type Rep EdgePresetDeploymentStatus :: Type -> Type #

Methods

from :: EdgePresetDeploymentStatus -> Rep EdgePresetDeploymentStatus x #

to :: Rep EdgePresetDeploymentStatus x -> EdgePresetDeploymentStatus #

Read EdgePresetDeploymentStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EdgePresetDeploymentStatus

Methods

readsPrec :: Int -> ReadS EdgePresetDeploymentStatus #

readList :: ReadS [EdgePresetDeploymentStatus] #

readPrec :: ReadPrec EdgePresetDeploymentStatus #

readListPrec :: ReadPrec [EdgePresetDeploymentStatus] #

Show EdgePresetDeploymentStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EdgePresetDeploymentStatus

Methods

showsPrec :: Int -> EdgePresetDeploymentStatus -> ShowS #

show :: EdgePresetDeploymentStatus -> String #

showList :: [EdgePresetDeploymentStatus] -> ShowS #

NFData EdgePresetDeploymentStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EdgePresetDeploymentStatus

Methods

rnf :: EdgePresetDeploymentStatus -> () #

Eq EdgePresetDeploymentStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EdgePresetDeploymentStatus

Methods

(==) :: EdgePresetDeploymentStatus -> EdgePresetDeploymentStatus -> Bool #

(/=) :: EdgePresetDeploymentStatus -> EdgePresetDeploymentStatus -> Bool #

Ord EdgePresetDeploymentStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EdgePresetDeploymentStatus

Methods

compare :: EdgePresetDeploymentStatus -> EdgePresetDeploymentStatus -> Ordering #

(<) :: EdgePresetDeploymentStatus -> EdgePresetDeploymentStatus -> Bool #

(<=) :: EdgePresetDeploymentStatus -> EdgePresetDeploymentStatus -> Bool #

(>) :: EdgePresetDeploymentStatus -> EdgePresetDeploymentStatus -> Bool #

(>=) :: EdgePresetDeploymentStatus -> EdgePresetDeploymentStatus -> Bool #

max :: EdgePresetDeploymentStatus -> EdgePresetDeploymentStatus -> EdgePresetDeploymentStatus #

min :: EdgePresetDeploymentStatus -> EdgePresetDeploymentStatus -> EdgePresetDeploymentStatus #

Hashable EdgePresetDeploymentStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EdgePresetDeploymentStatus

Methods

hashWithSalt :: Int -> EdgePresetDeploymentStatus -> Int #

hash :: EdgePresetDeploymentStatus -> Int #

type Rep EdgePresetDeploymentStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EdgePresetDeploymentStatus

type Rep EdgePresetDeploymentStatus = D1 ('MetaData "EdgePresetDeploymentStatus" "Amazonka.SageMaker.Types.EdgePresetDeploymentStatus" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'True) (C1 ('MetaCons "EdgePresetDeploymentStatus'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromEdgePresetDeploymentStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

EdgePresetDeploymentType

newtype EdgePresetDeploymentType Source #

Constructors

EdgePresetDeploymentType' 

Fields

Bundled Patterns

pattern EdgePresetDeploymentType_GreengrassV2Component :: EdgePresetDeploymentType 

Instances

Instances details
FromJSON EdgePresetDeploymentType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EdgePresetDeploymentType

Methods

parseJSON :: Value -> Parser EdgePresetDeploymentType #

parseJSONList :: Value -> Parser [EdgePresetDeploymentType] #

FromJSONKey EdgePresetDeploymentType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EdgePresetDeploymentType

Methods

fromJSONKey :: FromJSONKeyFunction EdgePresetDeploymentType #

fromJSONKeyList :: FromJSONKeyFunction [EdgePresetDeploymentType] #

ToJSON EdgePresetDeploymentType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EdgePresetDeploymentType

Methods

toJSON :: EdgePresetDeploymentType -> Value #

toEncoding :: EdgePresetDeploymentType -> Encoding #

toJSONList :: [EdgePresetDeploymentType] -> Value #

toEncodingList :: [EdgePresetDeploymentType] -> Encoding #

ToJSONKey EdgePresetDeploymentType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EdgePresetDeploymentType

Methods

toJSONKey :: ToJSONKeyFunction EdgePresetDeploymentType #

toJSONKeyList :: ToJSONKeyFunction [EdgePresetDeploymentType] #

ToByteString EdgePresetDeploymentType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EdgePresetDeploymentType

Methods

toBS :: EdgePresetDeploymentType -> ByteString #

ToHeader EdgePresetDeploymentType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EdgePresetDeploymentType

Methods

toHeader :: HeaderName -> EdgePresetDeploymentType -> [Header] #

ToLog EdgePresetDeploymentType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EdgePresetDeploymentType

Methods

build :: EdgePresetDeploymentType -> ByteStringBuilder #

ToQuery EdgePresetDeploymentType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EdgePresetDeploymentType

Methods

toQuery :: EdgePresetDeploymentType -> QueryString #

FromText EdgePresetDeploymentType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EdgePresetDeploymentType

Methods

fromText :: Text -> Either String EdgePresetDeploymentType #

ToText EdgePresetDeploymentType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EdgePresetDeploymentType

Methods

toText :: EdgePresetDeploymentType -> Text #

FromXML EdgePresetDeploymentType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EdgePresetDeploymentType

Methods

parseXML :: [Node] -> Either String EdgePresetDeploymentType #

ToXML EdgePresetDeploymentType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EdgePresetDeploymentType

Methods

toXML :: EdgePresetDeploymentType -> XML #

Generic EdgePresetDeploymentType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EdgePresetDeploymentType

Associated Types

type Rep EdgePresetDeploymentType :: Type -> Type #

Methods

from :: EdgePresetDeploymentType -> Rep EdgePresetDeploymentType x #

to :: Rep EdgePresetDeploymentType x -> EdgePresetDeploymentType #

Read EdgePresetDeploymentType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EdgePresetDeploymentType

Methods

readsPrec :: Int -> ReadS EdgePresetDeploymentType #

readList :: ReadS [EdgePresetDeploymentType] #

readPrec :: ReadPrec EdgePresetDeploymentType #

readListPrec :: ReadPrec [EdgePresetDeploymentType] #

Show EdgePresetDeploymentType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EdgePresetDeploymentType

Methods

showsPrec :: Int -> EdgePresetDeploymentType -> ShowS #

show :: EdgePresetDeploymentType -> String #

showList :: [EdgePresetDeploymentType] -> ShowS #

NFData EdgePresetDeploymentType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EdgePresetDeploymentType

Methods

rnf :: EdgePresetDeploymentType -> () #

Eq EdgePresetDeploymentType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EdgePresetDeploymentType

Methods

(==) :: EdgePresetDeploymentType -> EdgePresetDeploymentType -> Bool #

(/=) :: EdgePresetDeploymentType -> EdgePresetDeploymentType -> Bool #

Ord EdgePresetDeploymentType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EdgePresetDeploymentType

Methods

compare :: EdgePresetDeploymentType -> EdgePresetDeploymentType -> Ordering #

(<) :: EdgePresetDeploymentType -> EdgePresetDeploymentType -> Bool #

(<=) :: EdgePresetDeploymentType -> EdgePresetDeploymentType -> Bool #

(>) :: EdgePresetDeploymentType -> EdgePresetDeploymentType -> Bool #

(>=) :: EdgePresetDeploymentType -> EdgePresetDeploymentType -> Bool #

max :: EdgePresetDeploymentType -> EdgePresetDeploymentType -> EdgePresetDeploymentType #

min :: EdgePresetDeploymentType -> EdgePresetDeploymentType -> EdgePresetDeploymentType #

Hashable EdgePresetDeploymentType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EdgePresetDeploymentType

Methods

hashWithSalt :: Int -> EdgePresetDeploymentType -> Int #

hash :: EdgePresetDeploymentType -> Int #

type Rep EdgePresetDeploymentType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EdgePresetDeploymentType

type Rep EdgePresetDeploymentType = D1 ('MetaData "EdgePresetDeploymentType" "Amazonka.SageMaker.Types.EdgePresetDeploymentType" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'True) (C1 ('MetaCons "EdgePresetDeploymentType'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromEdgePresetDeploymentType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

EndpointConfigSortKey

newtype EndpointConfigSortKey Source #

Constructors

EndpointConfigSortKey' 

Fields

Bundled Patterns

pattern EndpointConfigSortKey_CreationTime :: EndpointConfigSortKey 
pattern EndpointConfigSortKey_Name :: EndpointConfigSortKey 

Instances

Instances details
FromJSON EndpointConfigSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EndpointConfigSortKey

Methods

parseJSON :: Value -> Parser EndpointConfigSortKey #

parseJSONList :: Value -> Parser [EndpointConfigSortKey] #

FromJSONKey EndpointConfigSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EndpointConfigSortKey

Methods

fromJSONKey :: FromJSONKeyFunction EndpointConfigSortKey #

fromJSONKeyList :: FromJSONKeyFunction [EndpointConfigSortKey] #

ToJSON EndpointConfigSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EndpointConfigSortKey

Methods

toJSON :: EndpointConfigSortKey -> Value #

toEncoding :: EndpointConfigSortKey -> Encoding #

toJSONList :: [EndpointConfigSortKey] -> Value #

toEncodingList :: [EndpointConfigSortKey] -> Encoding #

ToJSONKey EndpointConfigSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EndpointConfigSortKey

Methods

toJSONKey :: ToJSONKeyFunction EndpointConfigSortKey #

toJSONKeyList :: ToJSONKeyFunction [EndpointConfigSortKey] #

ToByteString EndpointConfigSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EndpointConfigSortKey

Methods

toBS :: EndpointConfigSortKey -> ByteString #

ToHeader EndpointConfigSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EndpointConfigSortKey

Methods

toHeader :: HeaderName -> EndpointConfigSortKey -> [Header] #

ToLog EndpointConfigSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EndpointConfigSortKey

Methods

build :: EndpointConfigSortKey -> ByteStringBuilder #

ToQuery EndpointConfigSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EndpointConfigSortKey

Methods

toQuery :: EndpointConfigSortKey -> QueryString #

FromText EndpointConfigSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EndpointConfigSortKey

Methods

fromText :: Text -> Either String EndpointConfigSortKey #

ToText EndpointConfigSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EndpointConfigSortKey

Methods

toText :: EndpointConfigSortKey -> Text #

FromXML EndpointConfigSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EndpointConfigSortKey

Methods

parseXML :: [Node] -> Either String EndpointConfigSortKey #

ToXML EndpointConfigSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EndpointConfigSortKey

Methods

toXML :: EndpointConfigSortKey -> XML #

Generic EndpointConfigSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EndpointConfigSortKey

Associated Types

type Rep EndpointConfigSortKey :: Type -> Type #

Methods

from :: EndpointConfigSortKey -> Rep EndpointConfigSortKey x #

to :: Rep EndpointConfigSortKey x -> EndpointConfigSortKey #

Read EndpointConfigSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EndpointConfigSortKey

Methods

readsPrec :: Int -> ReadS EndpointConfigSortKey #

readList :: ReadS [EndpointConfigSortKey] #

readPrec :: ReadPrec EndpointConfigSortKey #

readListPrec :: ReadPrec [EndpointConfigSortKey] #

Show EndpointConfigSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EndpointConfigSortKey

Methods

showsPrec :: Int -> EndpointConfigSortKey -> ShowS #

show :: EndpointConfigSortKey -> String #

showList :: [EndpointConfigSortKey] -> ShowS #

NFData EndpointConfigSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EndpointConfigSortKey

Methods

rnf :: EndpointConfigSortKey -> () #

Eq EndpointConfigSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EndpointConfigSortKey

Methods

(==) :: EndpointConfigSortKey -> EndpointConfigSortKey -> Bool #

(/=) :: EndpointConfigSortKey -> EndpointConfigSortKey -> Bool #

Ord EndpointConfigSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EndpointConfigSortKey

Methods

compare :: EndpointConfigSortKey -> EndpointConfigSortKey -> Ordering #

(<) :: EndpointConfigSortKey -> EndpointConfigSortKey -> Bool #

(<=) :: EndpointConfigSortKey -> EndpointConfigSortKey -> Bool #

(>) :: EndpointConfigSortKey -> EndpointConfigSortKey -> Bool #

(>=) :: EndpointConfigSortKey -> EndpointConfigSortKey -> Bool #

max :: EndpointConfigSortKey -> EndpointConfigSortKey -> EndpointConfigSortKey #

min :: EndpointConfigSortKey -> EndpointConfigSortKey -> EndpointConfigSortKey #

Hashable EndpointConfigSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EndpointConfigSortKey

Methods

hashWithSalt :: Int -> EndpointConfigSortKey -> Int #

hash :: EndpointConfigSortKey -> Int #

type Rep EndpointConfigSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EndpointConfigSortKey

type Rep EndpointConfigSortKey = D1 ('MetaData "EndpointConfigSortKey" "Amazonka.SageMaker.Types.EndpointConfigSortKey" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'True) (C1 ('MetaCons "EndpointConfigSortKey'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromEndpointConfigSortKey") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

EndpointSortKey

newtype EndpointSortKey Source #

Constructors

EndpointSortKey' 

Fields

Bundled Patterns

pattern EndpointSortKey_CreationTime :: EndpointSortKey 
pattern EndpointSortKey_Name :: EndpointSortKey 
pattern EndpointSortKey_Status :: EndpointSortKey 

Instances

Instances details
FromJSON EndpointSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EndpointSortKey

Methods

parseJSON :: Value -> Parser EndpointSortKey #

parseJSONList :: Value -> Parser [EndpointSortKey] #

FromJSONKey EndpointSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EndpointSortKey

Methods

fromJSONKey :: FromJSONKeyFunction EndpointSortKey #

fromJSONKeyList :: FromJSONKeyFunction [EndpointSortKey] #

ToJSON EndpointSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EndpointSortKey

Methods

toJSON :: EndpointSortKey -> Value #

toEncoding :: EndpointSortKey -> Encoding #

toJSONList :: [EndpointSortKey] -> Value #

toEncodingList :: [EndpointSortKey] -> Encoding #

ToJSONKey EndpointSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EndpointSortKey

Methods

toJSONKey :: ToJSONKeyFunction EndpointSortKey #

toJSONKeyList :: ToJSONKeyFunction [EndpointSortKey] #

ToByteString EndpointSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EndpointSortKey

Methods

toBS :: EndpointSortKey -> ByteString #

ToHeader EndpointSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EndpointSortKey

Methods

toHeader :: HeaderName -> EndpointSortKey -> [Header] #

ToLog EndpointSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EndpointSortKey

Methods

build :: EndpointSortKey -> ByteStringBuilder #

ToQuery EndpointSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EndpointSortKey

Methods

toQuery :: EndpointSortKey -> QueryString #

FromText EndpointSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EndpointSortKey

Methods

fromText :: Text -> Either String EndpointSortKey #

ToText EndpointSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EndpointSortKey

Methods

toText :: EndpointSortKey -> Text #

FromXML EndpointSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EndpointSortKey

Methods

parseXML :: [Node] -> Either String EndpointSortKey #

ToXML EndpointSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EndpointSortKey

Methods

toXML :: EndpointSortKey -> XML #

Generic EndpointSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EndpointSortKey

Associated Types

type Rep EndpointSortKey :: Type -> Type #

Methods

from :: EndpointSortKey -> Rep EndpointSortKey x #

to :: Rep EndpointSortKey x -> EndpointSortKey #

Read EndpointSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EndpointSortKey

Methods

readsPrec :: Int -> ReadS EndpointSortKey #

readList :: ReadS [EndpointSortKey] #

readPrec :: ReadPrec EndpointSortKey #

readListPrec :: ReadPrec [EndpointSortKey] #

Show EndpointSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EndpointSortKey

Methods

showsPrec :: Int -> EndpointSortKey -> ShowS #

show :: EndpointSortKey -> String #

showList :: [EndpointSortKey] -> ShowS #

NFData EndpointSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EndpointSortKey

Methods

rnf :: EndpointSortKey -> () #

Eq EndpointSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EndpointSortKey

Methods

(==) :: EndpointSortKey -> EndpointSortKey -> Bool #

(/=) :: EndpointSortKey -> EndpointSortKey -> Bool #

Ord EndpointSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EndpointSortKey

Methods

compare :: EndpointSortKey -> EndpointSortKey -> Ordering #

(<) :: EndpointSortKey -> EndpointSortKey -> Bool #

(<=) :: EndpointSortKey -> EndpointSortKey -> Bool #

(>) :: EndpointSortKey -> EndpointSortKey -> Bool #

(>=) :: EndpointSortKey -> EndpointSortKey -> Bool #

max :: EndpointSortKey -> EndpointSortKey -> EndpointSortKey #

min :: EndpointSortKey -> EndpointSortKey -> EndpointSortKey #

Hashable EndpointSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EndpointSortKey

Methods

hashWithSalt :: Int -> EndpointSortKey -> Int #

hash :: EndpointSortKey -> Int #

type Rep EndpointSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EndpointSortKey

type Rep EndpointSortKey = D1 ('MetaData "EndpointSortKey" "Amazonka.SageMaker.Types.EndpointSortKey" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'True) (C1 ('MetaCons "EndpointSortKey'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromEndpointSortKey") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

EndpointStatus

newtype EndpointStatus Source #

Constructors

EndpointStatus' 

Fields

Bundled Patterns

pattern EndpointStatus_Creating :: EndpointStatus 
pattern EndpointStatus_Deleting :: EndpointStatus 
pattern EndpointStatus_Failed :: EndpointStatus 
pattern EndpointStatus_InService :: EndpointStatus 
pattern EndpointStatus_OutOfService :: EndpointStatus 
pattern EndpointStatus_RollingBack :: EndpointStatus 
pattern EndpointStatus_SystemUpdating :: EndpointStatus 
pattern EndpointStatus_Updating :: EndpointStatus 

Instances

Instances details
FromJSON EndpointStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EndpointStatus

Methods

parseJSON :: Value -> Parser EndpointStatus #

parseJSONList :: Value -> Parser [EndpointStatus] #

FromJSONKey EndpointStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EndpointStatus

Methods

fromJSONKey :: FromJSONKeyFunction EndpointStatus #

fromJSONKeyList :: FromJSONKeyFunction [EndpointStatus] #

ToJSON EndpointStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EndpointStatus

Methods

toJSON :: EndpointStatus -> Value #

toEncoding :: EndpointStatus -> Encoding #

toJSONList :: [EndpointStatus] -> Value #

toEncodingList :: [EndpointStatus] -> Encoding #

ToJSONKey EndpointStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EndpointStatus

Methods

toJSONKey :: ToJSONKeyFunction EndpointStatus #

toJSONKeyList :: ToJSONKeyFunction [EndpointStatus] #

ToByteString EndpointStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EndpointStatus

Methods

toBS :: EndpointStatus -> ByteString #

ToHeader EndpointStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EndpointStatus

Methods

toHeader :: HeaderName -> EndpointStatus -> [Header] #

ToLog EndpointStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EndpointStatus

Methods

build :: EndpointStatus -> ByteStringBuilder #

ToQuery EndpointStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EndpointStatus

Methods

toQuery :: EndpointStatus -> QueryString #

FromText EndpointStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EndpointStatus

Methods

fromText :: Text -> Either String EndpointStatus #

ToText EndpointStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EndpointStatus

Methods

toText :: EndpointStatus -> Text #

FromXML EndpointStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EndpointStatus

Methods

parseXML :: [Node] -> Either String EndpointStatus #

ToXML EndpointStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EndpointStatus

Methods

toXML :: EndpointStatus -> XML #

Generic EndpointStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EndpointStatus

Associated Types

type Rep EndpointStatus :: Type -> Type #

Methods

from :: EndpointStatus -> Rep EndpointStatus x #

to :: Rep EndpointStatus x -> EndpointStatus #

Read EndpointStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EndpointStatus

Methods

readsPrec :: Int -> ReadS EndpointStatus #

readList :: ReadS [EndpointStatus] #

readPrec :: ReadPrec EndpointStatus #

readListPrec :: ReadPrec [EndpointStatus] #

Show EndpointStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EndpointStatus

Methods

showsPrec :: Int -> EndpointStatus -> ShowS #

show :: EndpointStatus -> String #

showList :: [EndpointStatus] -> ShowS #

NFData EndpointStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EndpointStatus

Methods

rnf :: EndpointStatus -> () #

Eq EndpointStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EndpointStatus

Methods

(==) :: EndpointStatus -> EndpointStatus -> Bool #

(/=) :: EndpointStatus -> EndpointStatus -> Bool #

Ord EndpointStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EndpointStatus

Methods

compare :: EndpointStatus -> EndpointStatus -> Ordering #

(<) :: EndpointStatus -> EndpointStatus -> Bool #

(<=) :: EndpointStatus -> EndpointStatus -> Bool #

(>) :: EndpointStatus -> EndpointStatus -> Bool #

(>=) :: EndpointStatus -> EndpointStatus -> Bool #

max :: EndpointStatus -> EndpointStatus -> EndpointStatus #

min :: EndpointStatus -> EndpointStatus -> EndpointStatus #

Hashable EndpointStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EndpointStatus

Methods

hashWithSalt :: Int -> EndpointStatus -> Int #

hash :: EndpointStatus -> Int #

type Rep EndpointStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EndpointStatus

type Rep EndpointStatus = D1 ('MetaData "EndpointStatus" "Amazonka.SageMaker.Types.EndpointStatus" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'True) (C1 ('MetaCons "EndpointStatus'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromEndpointStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

ExecutionRoleIdentityConfig

newtype ExecutionRoleIdentityConfig Source #

Constructors

ExecutionRoleIdentityConfig' 

Fields

Bundled Patterns

pattern ExecutionRoleIdentityConfig_DISABLED :: ExecutionRoleIdentityConfig 
pattern ExecutionRoleIdentityConfig_USER_PROFILE_NAME :: ExecutionRoleIdentityConfig 

Instances

Instances details
FromJSON ExecutionRoleIdentityConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ExecutionRoleIdentityConfig

Methods

parseJSON :: Value -> Parser ExecutionRoleIdentityConfig #

parseJSONList :: Value -> Parser [ExecutionRoleIdentityConfig] #

FromJSONKey ExecutionRoleIdentityConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ExecutionRoleIdentityConfig

Methods

fromJSONKey :: FromJSONKeyFunction ExecutionRoleIdentityConfig #

fromJSONKeyList :: FromJSONKeyFunction [ExecutionRoleIdentityConfig] #

ToJSON ExecutionRoleIdentityConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ExecutionRoleIdentityConfig

Methods

toJSON :: ExecutionRoleIdentityConfig -> Value #

toEncoding :: ExecutionRoleIdentityConfig -> Encoding #

toJSONList :: [ExecutionRoleIdentityConfig] -> Value #

toEncodingList :: [ExecutionRoleIdentityConfig] -> Encoding #

ToJSONKey ExecutionRoleIdentityConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ExecutionRoleIdentityConfig

Methods

toJSONKey :: ToJSONKeyFunction ExecutionRoleIdentityConfig #

toJSONKeyList :: ToJSONKeyFunction [ExecutionRoleIdentityConfig] #

ToByteString ExecutionRoleIdentityConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ExecutionRoleIdentityConfig

Methods

toBS :: ExecutionRoleIdentityConfig -> ByteString #

ToHeader ExecutionRoleIdentityConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ExecutionRoleIdentityConfig

Methods

toHeader :: HeaderName -> ExecutionRoleIdentityConfig -> [Header] #

ToLog ExecutionRoleIdentityConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ExecutionRoleIdentityConfig

Methods

build :: ExecutionRoleIdentityConfig -> ByteStringBuilder #

ToQuery ExecutionRoleIdentityConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ExecutionRoleIdentityConfig

Methods

toQuery :: ExecutionRoleIdentityConfig -> QueryString #

FromText ExecutionRoleIdentityConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ExecutionRoleIdentityConfig

Methods

fromText :: Text -> Either String ExecutionRoleIdentityConfig #

ToText ExecutionRoleIdentityConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ExecutionRoleIdentityConfig

Methods

toText :: ExecutionRoleIdentityConfig -> Text #

FromXML ExecutionRoleIdentityConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ExecutionRoleIdentityConfig

Methods

parseXML :: [Node] -> Either String ExecutionRoleIdentityConfig #

ToXML ExecutionRoleIdentityConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ExecutionRoleIdentityConfig

Methods

toXML :: ExecutionRoleIdentityConfig -> XML #

Generic ExecutionRoleIdentityConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ExecutionRoleIdentityConfig

Associated Types

type Rep ExecutionRoleIdentityConfig :: Type -> Type #

Methods

from :: ExecutionRoleIdentityConfig -> Rep ExecutionRoleIdentityConfig x #

to :: Rep ExecutionRoleIdentityConfig x -> ExecutionRoleIdentityConfig #

Read ExecutionRoleIdentityConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ExecutionRoleIdentityConfig

Methods

readsPrec :: Int -> ReadS ExecutionRoleIdentityConfig #

readList :: ReadS [ExecutionRoleIdentityConfig] #

readPrec :: ReadPrec ExecutionRoleIdentityConfig #

readListPrec :: ReadPrec [ExecutionRoleIdentityConfig] #

Show ExecutionRoleIdentityConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ExecutionRoleIdentityConfig

Methods

showsPrec :: Int -> ExecutionRoleIdentityConfig -> ShowS #

show :: ExecutionRoleIdentityConfig -> String #

showList :: [ExecutionRoleIdentityConfig] -> ShowS #

NFData ExecutionRoleIdentityConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ExecutionRoleIdentityConfig

Methods

rnf :: ExecutionRoleIdentityConfig -> () #

Eq ExecutionRoleIdentityConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ExecutionRoleIdentityConfig

Methods

(==) :: ExecutionRoleIdentityConfig -> ExecutionRoleIdentityConfig -> Bool #

(/=) :: ExecutionRoleIdentityConfig -> ExecutionRoleIdentityConfig -> Bool #

Ord ExecutionRoleIdentityConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ExecutionRoleIdentityConfig

Methods

compare :: ExecutionRoleIdentityConfig -> ExecutionRoleIdentityConfig -> Ordering #

(<) :: ExecutionRoleIdentityConfig -> ExecutionRoleIdentityConfig -> Bool #

(<=) :: ExecutionRoleIdentityConfig -> ExecutionRoleIdentityConfig -> Bool #

(>) :: ExecutionRoleIdentityConfig -> ExecutionRoleIdentityConfig -> Bool #

(>=) :: ExecutionRoleIdentityConfig -> ExecutionRoleIdentityConfig -> Bool #

max :: ExecutionRoleIdentityConfig -> ExecutionRoleIdentityConfig -> ExecutionRoleIdentityConfig #

min :: ExecutionRoleIdentityConfig -> ExecutionRoleIdentityConfig -> ExecutionRoleIdentityConfig #

Hashable ExecutionRoleIdentityConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ExecutionRoleIdentityConfig

Methods

hashWithSalt :: Int -> ExecutionRoleIdentityConfig -> Int #

hash :: ExecutionRoleIdentityConfig -> Int #

type Rep ExecutionRoleIdentityConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ExecutionRoleIdentityConfig

type Rep ExecutionRoleIdentityConfig = D1 ('MetaData "ExecutionRoleIdentityConfig" "Amazonka.SageMaker.Types.ExecutionRoleIdentityConfig" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'True) (C1 ('MetaCons "ExecutionRoleIdentityConfig'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromExecutionRoleIdentityConfig") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

ExecutionStatus

newtype ExecutionStatus Source #

Constructors

ExecutionStatus' 

Fields

Bundled Patterns

pattern ExecutionStatus_Completed :: ExecutionStatus 
pattern ExecutionStatus_CompletedWithViolations :: ExecutionStatus 
pattern ExecutionStatus_Failed :: ExecutionStatus 
pattern ExecutionStatus_InProgress :: ExecutionStatus 
pattern ExecutionStatus_Pending :: ExecutionStatus 
pattern ExecutionStatus_Stopped :: ExecutionStatus 
pattern ExecutionStatus_Stopping :: ExecutionStatus 

Instances

Instances details
FromJSON ExecutionStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ExecutionStatus

Methods

parseJSON :: Value -> Parser ExecutionStatus #

parseJSONList :: Value -> Parser [ExecutionStatus] #

FromJSONKey ExecutionStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ExecutionStatus

Methods

fromJSONKey :: FromJSONKeyFunction ExecutionStatus #

fromJSONKeyList :: FromJSONKeyFunction [ExecutionStatus] #

ToJSON ExecutionStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ExecutionStatus

Methods

toJSON :: ExecutionStatus -> Value #

toEncoding :: ExecutionStatus -> Encoding #

toJSONList :: [ExecutionStatus] -> Value #

toEncodingList :: [ExecutionStatus] -> Encoding #

ToJSONKey ExecutionStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ExecutionStatus

Methods

toJSONKey :: ToJSONKeyFunction ExecutionStatus #

toJSONKeyList :: ToJSONKeyFunction [ExecutionStatus] #

ToByteString ExecutionStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ExecutionStatus

Methods

toBS :: ExecutionStatus -> ByteString #

ToHeader ExecutionStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ExecutionStatus

Methods

toHeader :: HeaderName -> ExecutionStatus -> [Header] #

ToLog ExecutionStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ExecutionStatus

Methods

build :: ExecutionStatus -> ByteStringBuilder #

ToQuery ExecutionStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ExecutionStatus

Methods

toQuery :: ExecutionStatus -> QueryString #

FromText ExecutionStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ExecutionStatus

Methods

fromText :: Text -> Either String ExecutionStatus #

ToText ExecutionStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ExecutionStatus

Methods

toText :: ExecutionStatus -> Text #

FromXML ExecutionStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ExecutionStatus

Methods

parseXML :: [Node] -> Either String ExecutionStatus #

ToXML ExecutionStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ExecutionStatus

Methods

toXML :: ExecutionStatus -> XML #

Generic ExecutionStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ExecutionStatus

Associated Types

type Rep ExecutionStatus :: Type -> Type #

Methods

from :: ExecutionStatus -> Rep ExecutionStatus x #

to :: Rep ExecutionStatus x -> ExecutionStatus #

Read ExecutionStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ExecutionStatus

Methods

readsPrec :: Int -> ReadS ExecutionStatus #

readList :: ReadS [ExecutionStatus] #

readPrec :: ReadPrec ExecutionStatus #

readListPrec :: ReadPrec [ExecutionStatus] #

Show ExecutionStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ExecutionStatus

Methods

showsPrec :: Int -> ExecutionStatus -> ShowS #

show :: ExecutionStatus -> String #

showList :: [ExecutionStatus] -> ShowS #

NFData ExecutionStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ExecutionStatus

Methods

rnf :: ExecutionStatus -> () #

Eq ExecutionStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ExecutionStatus

Methods

(==) :: ExecutionStatus -> ExecutionStatus -> Bool #

(/=) :: ExecutionStatus -> ExecutionStatus -> Bool #

Ord ExecutionStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ExecutionStatus

Methods

compare :: ExecutionStatus -> ExecutionStatus -> Ordering #

(<) :: ExecutionStatus -> ExecutionStatus -> Bool #

(<=) :: ExecutionStatus -> ExecutionStatus -> Bool #

(>) :: ExecutionStatus -> ExecutionStatus -> Bool #

(>=) :: ExecutionStatus -> ExecutionStatus -> Bool #

max :: ExecutionStatus -> ExecutionStatus -> ExecutionStatus #

min :: ExecutionStatus -> ExecutionStatus -> ExecutionStatus #

Hashable ExecutionStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ExecutionStatus

Methods

hashWithSalt :: Int -> ExecutionStatus -> Int #

hash :: ExecutionStatus -> Int #

type Rep ExecutionStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ExecutionStatus

type Rep ExecutionStatus = D1 ('MetaData "ExecutionStatus" "Amazonka.SageMaker.Types.ExecutionStatus" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'True) (C1 ('MetaCons "ExecutionStatus'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromExecutionStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

FailureHandlingPolicy

newtype FailureHandlingPolicy Source #

Constructors

FailureHandlingPolicy' 

Fields

Bundled Patterns

pattern FailureHandlingPolicy_DO_NOTHING :: FailureHandlingPolicy 
pattern FailureHandlingPolicy_ROLLBACK_ON_FAILURE :: FailureHandlingPolicy 

Instances

Instances details
FromJSON FailureHandlingPolicy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FailureHandlingPolicy

Methods

parseJSON :: Value -> Parser FailureHandlingPolicy #

parseJSONList :: Value -> Parser [FailureHandlingPolicy] #

FromJSONKey FailureHandlingPolicy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FailureHandlingPolicy

Methods

fromJSONKey :: FromJSONKeyFunction FailureHandlingPolicy #

fromJSONKeyList :: FromJSONKeyFunction [FailureHandlingPolicy] #

ToJSON FailureHandlingPolicy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FailureHandlingPolicy

Methods

toJSON :: FailureHandlingPolicy -> Value #

toEncoding :: FailureHandlingPolicy -> Encoding #

toJSONList :: [FailureHandlingPolicy] -> Value #

toEncodingList :: [FailureHandlingPolicy] -> Encoding #

ToJSONKey FailureHandlingPolicy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FailureHandlingPolicy

Methods

toJSONKey :: ToJSONKeyFunction FailureHandlingPolicy #

toJSONKeyList :: ToJSONKeyFunction [FailureHandlingPolicy] #

ToByteString FailureHandlingPolicy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FailureHandlingPolicy

Methods

toBS :: FailureHandlingPolicy -> ByteString #

ToHeader FailureHandlingPolicy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FailureHandlingPolicy

Methods

toHeader :: HeaderName -> FailureHandlingPolicy -> [Header] #

ToLog FailureHandlingPolicy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FailureHandlingPolicy

Methods

build :: FailureHandlingPolicy -> ByteStringBuilder #

ToQuery FailureHandlingPolicy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FailureHandlingPolicy

Methods

toQuery :: FailureHandlingPolicy -> QueryString #

FromText FailureHandlingPolicy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FailureHandlingPolicy

Methods

fromText :: Text -> Either String FailureHandlingPolicy #

ToText FailureHandlingPolicy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FailureHandlingPolicy

Methods

toText :: FailureHandlingPolicy -> Text #

FromXML FailureHandlingPolicy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FailureHandlingPolicy

Methods

parseXML :: [Node] -> Either String FailureHandlingPolicy #

ToXML FailureHandlingPolicy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FailureHandlingPolicy

Methods

toXML :: FailureHandlingPolicy -> XML #

Generic FailureHandlingPolicy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FailureHandlingPolicy

Associated Types

type Rep FailureHandlingPolicy :: Type -> Type #

Methods

from :: FailureHandlingPolicy -> Rep FailureHandlingPolicy x #

to :: Rep FailureHandlingPolicy x -> FailureHandlingPolicy #

Read FailureHandlingPolicy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FailureHandlingPolicy

Methods

readsPrec :: Int -> ReadS FailureHandlingPolicy #

readList :: ReadS [FailureHandlingPolicy] #

readPrec :: ReadPrec FailureHandlingPolicy #

readListPrec :: ReadPrec [FailureHandlingPolicy] #

Show FailureHandlingPolicy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FailureHandlingPolicy

Methods

showsPrec :: Int -> FailureHandlingPolicy -> ShowS #

show :: FailureHandlingPolicy -> String #

showList :: [FailureHandlingPolicy] -> ShowS #

NFData FailureHandlingPolicy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FailureHandlingPolicy

Methods

rnf :: FailureHandlingPolicy -> () #

Eq FailureHandlingPolicy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FailureHandlingPolicy

Methods

(==) :: FailureHandlingPolicy -> FailureHandlingPolicy -> Bool #

(/=) :: FailureHandlingPolicy -> FailureHandlingPolicy -> Bool #

Ord FailureHandlingPolicy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FailureHandlingPolicy

Methods

compare :: FailureHandlingPolicy -> FailureHandlingPolicy -> Ordering #

(<) :: FailureHandlingPolicy -> FailureHandlingPolicy -> Bool #

(<=) :: FailureHandlingPolicy -> FailureHandlingPolicy -> Bool #

(>) :: FailureHandlingPolicy -> FailureHandlingPolicy -> Bool #

(>=) :: FailureHandlingPolicy -> FailureHandlingPolicy -> Bool #

max :: FailureHandlingPolicy -> FailureHandlingPolicy -> FailureHandlingPolicy #

min :: FailureHandlingPolicy -> FailureHandlingPolicy -> FailureHandlingPolicy #

Hashable FailureHandlingPolicy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FailureHandlingPolicy

Methods

hashWithSalt :: Int -> FailureHandlingPolicy -> Int #

hash :: FailureHandlingPolicy -> Int #

type Rep FailureHandlingPolicy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FailureHandlingPolicy

type Rep FailureHandlingPolicy = D1 ('MetaData "FailureHandlingPolicy" "Amazonka.SageMaker.Types.FailureHandlingPolicy" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'True) (C1 ('MetaCons "FailureHandlingPolicy'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromFailureHandlingPolicy") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

FeatureGroupSortBy

newtype FeatureGroupSortBy Source #

Constructors

FeatureGroupSortBy' 

Fields

Bundled Patterns

pattern FeatureGroupSortBy_CreationTime :: FeatureGroupSortBy 
pattern FeatureGroupSortBy_FeatureGroupStatus :: FeatureGroupSortBy 
pattern FeatureGroupSortBy_Name :: FeatureGroupSortBy 
pattern FeatureGroupSortBy_OfflineStoreStatus :: FeatureGroupSortBy 

Instances

Instances details
FromJSON FeatureGroupSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FeatureGroupSortBy

Methods

parseJSON :: Value -> Parser FeatureGroupSortBy #

parseJSONList :: Value -> Parser [FeatureGroupSortBy] #

FromJSONKey FeatureGroupSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FeatureGroupSortBy

Methods

fromJSONKey :: FromJSONKeyFunction FeatureGroupSortBy #

fromJSONKeyList :: FromJSONKeyFunction [FeatureGroupSortBy] #

ToJSON FeatureGroupSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FeatureGroupSortBy

Methods

toJSON :: FeatureGroupSortBy -> Value #

toEncoding :: FeatureGroupSortBy -> Encoding #

toJSONList :: [FeatureGroupSortBy] -> Value #

toEncodingList :: [FeatureGroupSortBy] -> Encoding #

ToJSONKey FeatureGroupSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FeatureGroupSortBy

Methods

toJSONKey :: ToJSONKeyFunction FeatureGroupSortBy #

toJSONKeyList :: ToJSONKeyFunction [FeatureGroupSortBy] #

ToByteString FeatureGroupSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FeatureGroupSortBy

Methods

toBS :: FeatureGroupSortBy -> ByteString #

ToHeader FeatureGroupSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FeatureGroupSortBy

Methods

toHeader :: HeaderName -> FeatureGroupSortBy -> [Header] #

ToLog FeatureGroupSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FeatureGroupSortBy

Methods

build :: FeatureGroupSortBy -> ByteStringBuilder #

ToQuery FeatureGroupSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FeatureGroupSortBy

Methods

toQuery :: FeatureGroupSortBy -> QueryString #

FromText FeatureGroupSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FeatureGroupSortBy

Methods

fromText :: Text -> Either String FeatureGroupSortBy #

ToText FeatureGroupSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FeatureGroupSortBy

Methods

toText :: FeatureGroupSortBy -> Text #

FromXML FeatureGroupSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FeatureGroupSortBy

Methods

parseXML :: [Node] -> Either String FeatureGroupSortBy #

ToXML FeatureGroupSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FeatureGroupSortBy

Methods

toXML :: FeatureGroupSortBy -> XML #

Generic FeatureGroupSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FeatureGroupSortBy

Associated Types

type Rep FeatureGroupSortBy :: Type -> Type #

Methods

from :: FeatureGroupSortBy -> Rep FeatureGroupSortBy x #

to :: Rep FeatureGroupSortBy x -> FeatureGroupSortBy #

Read FeatureGroupSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FeatureGroupSortBy

Methods

readsPrec :: Int -> ReadS FeatureGroupSortBy #

readList :: ReadS [FeatureGroupSortBy] #

readPrec :: ReadPrec FeatureGroupSortBy #

readListPrec :: ReadPrec [FeatureGroupSortBy] #

Show FeatureGroupSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FeatureGroupSortBy

Methods

showsPrec :: Int -> FeatureGroupSortBy -> ShowS #

show :: FeatureGroupSortBy -> String #

showList :: [FeatureGroupSortBy] -> ShowS #

NFData FeatureGroupSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FeatureGroupSortBy

Methods

rnf :: FeatureGroupSortBy -> () #

Eq FeatureGroupSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FeatureGroupSortBy

Methods

(==) :: FeatureGroupSortBy -> FeatureGroupSortBy -> Bool #

(/=) :: FeatureGroupSortBy -> FeatureGroupSortBy -> Bool #

Ord FeatureGroupSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FeatureGroupSortBy

Methods

compare :: FeatureGroupSortBy -> FeatureGroupSortBy -> Ordering #

(<) :: FeatureGroupSortBy -> FeatureGroupSortBy -> Bool #

(<=) :: FeatureGroupSortBy -> FeatureGroupSortBy -> Bool #

(>) :: FeatureGroupSortBy -> FeatureGroupSortBy -> Bool #

(>=) :: FeatureGroupSortBy -> FeatureGroupSortBy -> Bool #

max :: FeatureGroupSortBy -> FeatureGroupSortBy -> FeatureGroupSortBy #

min :: FeatureGroupSortBy -> FeatureGroupSortBy -> FeatureGroupSortBy #

Hashable FeatureGroupSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FeatureGroupSortBy

Methods

hashWithSalt :: Int -> FeatureGroupSortBy -> Int #

hash :: FeatureGroupSortBy -> Int #

type Rep FeatureGroupSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FeatureGroupSortBy

type Rep FeatureGroupSortBy = D1 ('MetaData "FeatureGroupSortBy" "Amazonka.SageMaker.Types.FeatureGroupSortBy" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'True) (C1 ('MetaCons "FeatureGroupSortBy'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromFeatureGroupSortBy") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

FeatureGroupSortOrder

newtype FeatureGroupSortOrder Source #

Constructors

FeatureGroupSortOrder' 

Fields

Bundled Patterns

pattern FeatureGroupSortOrder_Ascending :: FeatureGroupSortOrder 
pattern FeatureGroupSortOrder_Descending :: FeatureGroupSortOrder 

Instances

Instances details
FromJSON FeatureGroupSortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FeatureGroupSortOrder

Methods

parseJSON :: Value -> Parser FeatureGroupSortOrder #

parseJSONList :: Value -> Parser [FeatureGroupSortOrder] #

FromJSONKey FeatureGroupSortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FeatureGroupSortOrder

Methods

fromJSONKey :: FromJSONKeyFunction FeatureGroupSortOrder #

fromJSONKeyList :: FromJSONKeyFunction [FeatureGroupSortOrder] #

ToJSON FeatureGroupSortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FeatureGroupSortOrder

Methods

toJSON :: FeatureGroupSortOrder -> Value #

toEncoding :: FeatureGroupSortOrder -> Encoding #

toJSONList :: [FeatureGroupSortOrder] -> Value #

toEncodingList :: [FeatureGroupSortOrder] -> Encoding #

ToJSONKey FeatureGroupSortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FeatureGroupSortOrder

Methods

toJSONKey :: ToJSONKeyFunction FeatureGroupSortOrder #

toJSONKeyList :: ToJSONKeyFunction [FeatureGroupSortOrder] #

ToByteString FeatureGroupSortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FeatureGroupSortOrder

Methods

toBS :: FeatureGroupSortOrder -> ByteString #

ToHeader FeatureGroupSortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FeatureGroupSortOrder

Methods

toHeader :: HeaderName -> FeatureGroupSortOrder -> [Header] #

ToLog FeatureGroupSortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FeatureGroupSortOrder

Methods

build :: FeatureGroupSortOrder -> ByteStringBuilder #

ToQuery FeatureGroupSortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FeatureGroupSortOrder

Methods

toQuery :: FeatureGroupSortOrder -> QueryString #

FromText FeatureGroupSortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FeatureGroupSortOrder

Methods

fromText :: Text -> Either String FeatureGroupSortOrder #

ToText FeatureGroupSortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FeatureGroupSortOrder

Methods

toText :: FeatureGroupSortOrder -> Text #

FromXML FeatureGroupSortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FeatureGroupSortOrder

Methods

parseXML :: [Node] -> Either String FeatureGroupSortOrder #

ToXML FeatureGroupSortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FeatureGroupSortOrder

Methods

toXML :: FeatureGroupSortOrder -> XML #

Generic FeatureGroupSortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FeatureGroupSortOrder

Associated Types

type Rep FeatureGroupSortOrder :: Type -> Type #

Methods

from :: FeatureGroupSortOrder -> Rep FeatureGroupSortOrder x #

to :: Rep FeatureGroupSortOrder x -> FeatureGroupSortOrder #

Read FeatureGroupSortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FeatureGroupSortOrder

Methods

readsPrec :: Int -> ReadS FeatureGroupSortOrder #

readList :: ReadS [FeatureGroupSortOrder] #

readPrec :: ReadPrec FeatureGroupSortOrder #

readListPrec :: ReadPrec [FeatureGroupSortOrder] #

Show FeatureGroupSortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FeatureGroupSortOrder

Methods

showsPrec :: Int -> FeatureGroupSortOrder -> ShowS #

show :: FeatureGroupSortOrder -> String #

showList :: [FeatureGroupSortOrder] -> ShowS #

NFData FeatureGroupSortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FeatureGroupSortOrder

Methods

rnf :: FeatureGroupSortOrder -> () #

Eq FeatureGroupSortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FeatureGroupSortOrder

Methods

(==) :: FeatureGroupSortOrder -> FeatureGroupSortOrder -> Bool #

(/=) :: FeatureGroupSortOrder -> FeatureGroupSortOrder -> Bool #

Ord FeatureGroupSortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FeatureGroupSortOrder

Methods

compare :: FeatureGroupSortOrder -> FeatureGroupSortOrder -> Ordering #

(<) :: FeatureGroupSortOrder -> FeatureGroupSortOrder -> Bool #

(<=) :: FeatureGroupSortOrder -> FeatureGroupSortOrder -> Bool #

(>) :: FeatureGroupSortOrder -> FeatureGroupSortOrder -> Bool #

(>=) :: FeatureGroupSortOrder -> FeatureGroupSortOrder -> Bool #

max :: FeatureGroupSortOrder -> FeatureGroupSortOrder -> FeatureGroupSortOrder #

min :: FeatureGroupSortOrder -> FeatureGroupSortOrder -> FeatureGroupSortOrder #

Hashable FeatureGroupSortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FeatureGroupSortOrder

Methods

hashWithSalt :: Int -> FeatureGroupSortOrder -> Int #

hash :: FeatureGroupSortOrder -> Int #

type Rep FeatureGroupSortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FeatureGroupSortOrder

type Rep FeatureGroupSortOrder = D1 ('MetaData "FeatureGroupSortOrder" "Amazonka.SageMaker.Types.FeatureGroupSortOrder" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'True) (C1 ('MetaCons "FeatureGroupSortOrder'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromFeatureGroupSortOrder") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

FeatureGroupStatus

newtype FeatureGroupStatus Source #

Constructors

FeatureGroupStatus' 

Fields

Bundled Patterns

pattern FeatureGroupStatus_CreateFailed :: FeatureGroupStatus 
pattern FeatureGroupStatus_Created :: FeatureGroupStatus 
pattern FeatureGroupStatus_Creating :: FeatureGroupStatus 
pattern FeatureGroupStatus_DeleteFailed :: FeatureGroupStatus 
pattern FeatureGroupStatus_Deleting :: FeatureGroupStatus 

Instances

Instances details
FromJSON FeatureGroupStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FeatureGroupStatus

Methods

parseJSON :: Value -> Parser FeatureGroupStatus #

parseJSONList :: Value -> Parser [FeatureGroupStatus] #

FromJSONKey FeatureGroupStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FeatureGroupStatus

Methods

fromJSONKey :: FromJSONKeyFunction FeatureGroupStatus #

fromJSONKeyList :: FromJSONKeyFunction [FeatureGroupStatus] #

ToJSON FeatureGroupStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FeatureGroupStatus

Methods

toJSON :: FeatureGroupStatus -> Value #

toEncoding :: FeatureGroupStatus -> Encoding #

toJSONList :: [FeatureGroupStatus] -> Value #

toEncodingList :: [FeatureGroupStatus] -> Encoding #

ToJSONKey FeatureGroupStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FeatureGroupStatus

Methods

toJSONKey :: ToJSONKeyFunction FeatureGroupStatus #

toJSONKeyList :: ToJSONKeyFunction [FeatureGroupStatus] #

ToByteString FeatureGroupStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FeatureGroupStatus

Methods

toBS :: FeatureGroupStatus -> ByteString #

ToHeader FeatureGroupStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FeatureGroupStatus

Methods

toHeader :: HeaderName -> FeatureGroupStatus -> [Header] #

ToLog FeatureGroupStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FeatureGroupStatus

Methods

build :: FeatureGroupStatus -> ByteStringBuilder #

ToQuery FeatureGroupStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FeatureGroupStatus

Methods

toQuery :: FeatureGroupStatus -> QueryString #

FromText FeatureGroupStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FeatureGroupStatus

Methods

fromText :: Text -> Either String FeatureGroupStatus #

ToText FeatureGroupStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FeatureGroupStatus

Methods

toText :: FeatureGroupStatus -> Text #

FromXML FeatureGroupStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FeatureGroupStatus

Methods

parseXML :: [Node] -> Either String FeatureGroupStatus #

ToXML FeatureGroupStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FeatureGroupStatus

Methods

toXML :: FeatureGroupStatus -> XML #

Generic FeatureGroupStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FeatureGroupStatus

Associated Types

type Rep FeatureGroupStatus :: Type -> Type #

Methods

from :: FeatureGroupStatus -> Rep FeatureGroupStatus x #

to :: Rep FeatureGroupStatus x -> FeatureGroupStatus #

Read FeatureGroupStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FeatureGroupStatus

Methods

readsPrec :: Int -> ReadS FeatureGroupStatus #

readList :: ReadS [FeatureGroupStatus] #

readPrec :: ReadPrec FeatureGroupStatus #

readListPrec :: ReadPrec [FeatureGroupStatus] #

Show FeatureGroupStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FeatureGroupStatus

Methods

showsPrec :: Int -> FeatureGroupStatus -> ShowS #

show :: FeatureGroupStatus -> String #

showList :: [FeatureGroupStatus] -> ShowS #

NFData FeatureGroupStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FeatureGroupStatus

Methods

rnf :: FeatureGroupStatus -> () #

Eq FeatureGroupStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FeatureGroupStatus

Methods

(==) :: FeatureGroupStatus -> FeatureGroupStatus -> Bool #

(/=) :: FeatureGroupStatus -> FeatureGroupStatus -> Bool #

Ord FeatureGroupStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FeatureGroupStatus

Methods

compare :: FeatureGroupStatus -> FeatureGroupStatus -> Ordering #

(<) :: FeatureGroupStatus -> FeatureGroupStatus -> Bool #

(<=) :: FeatureGroupStatus -> FeatureGroupStatus -> Bool #

(>) :: FeatureGroupStatus -> FeatureGroupStatus -> Bool #

(>=) :: FeatureGroupStatus -> FeatureGroupStatus -> Bool #

max :: FeatureGroupStatus -> FeatureGroupStatus -> FeatureGroupStatus #

min :: FeatureGroupStatus -> FeatureGroupStatus -> FeatureGroupStatus #

Hashable FeatureGroupStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FeatureGroupStatus

Methods

hashWithSalt :: Int -> FeatureGroupStatus -> Int #

hash :: FeatureGroupStatus -> Int #

type Rep FeatureGroupStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FeatureGroupStatus

type Rep FeatureGroupStatus = D1 ('MetaData "FeatureGroupStatus" "Amazonka.SageMaker.Types.FeatureGroupStatus" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'True) (C1 ('MetaCons "FeatureGroupStatus'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromFeatureGroupStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

FeatureStatus

newtype FeatureStatus Source #

Constructors

FeatureStatus' 

Fields

Bundled Patterns

pattern FeatureStatus_DISABLED :: FeatureStatus 
pattern FeatureStatus_ENABLED :: FeatureStatus 

Instances

Instances details
FromJSON FeatureStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FeatureStatus

Methods

parseJSON :: Value -> Parser FeatureStatus #

parseJSONList :: Value -> Parser [FeatureStatus] #

FromJSONKey FeatureStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FeatureStatus

Methods

fromJSONKey :: FromJSONKeyFunction FeatureStatus #

fromJSONKeyList :: FromJSONKeyFunction [FeatureStatus] #

ToJSON FeatureStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FeatureStatus

Methods

toJSON :: FeatureStatus -> Value #

toEncoding :: FeatureStatus -> Encoding #

toJSONList :: [FeatureStatus] -> Value #

toEncodingList :: [FeatureStatus] -> Encoding #

ToJSONKey FeatureStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FeatureStatus

Methods

toJSONKey :: ToJSONKeyFunction FeatureStatus #

toJSONKeyList :: ToJSONKeyFunction [FeatureStatus] #

ToByteString FeatureStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FeatureStatus

Methods

toBS :: FeatureStatus -> ByteString #

ToHeader FeatureStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FeatureStatus

Methods

toHeader :: HeaderName -> FeatureStatus -> [Header] #

ToLog FeatureStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FeatureStatus

Methods

build :: FeatureStatus -> ByteStringBuilder #

ToQuery FeatureStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FeatureStatus

Methods

toQuery :: FeatureStatus -> QueryString #

FromText FeatureStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FeatureStatus

Methods

fromText :: Text -> Either String FeatureStatus #

ToText FeatureStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FeatureStatus

Methods

toText :: FeatureStatus -> Text #

FromXML FeatureStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FeatureStatus

Methods

parseXML :: [Node] -> Either String FeatureStatus #

ToXML FeatureStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FeatureStatus

Methods

toXML :: FeatureStatus -> XML #

Generic FeatureStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FeatureStatus

Associated Types

type Rep FeatureStatus :: Type -> Type #

Methods

from :: FeatureStatus -> Rep FeatureStatus x #

to :: Rep FeatureStatus x -> FeatureStatus #

Read FeatureStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FeatureStatus

Methods

readsPrec :: Int -> ReadS FeatureStatus #

readList :: ReadS [FeatureStatus] #

readPrec :: ReadPrec FeatureStatus #

readListPrec :: ReadPrec [FeatureStatus] #

Show FeatureStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FeatureStatus

Methods

showsPrec :: Int -> FeatureStatus -> ShowS #

show :: FeatureStatus -> String #

showList :: [FeatureStatus] -> ShowS #

NFData FeatureStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FeatureStatus

Methods

rnf :: FeatureStatus -> () #

Eq FeatureStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FeatureStatus

Methods

(==) :: FeatureStatus -> FeatureStatus -> Bool #

(/=) :: FeatureStatus -> FeatureStatus -> Bool #

Ord FeatureStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FeatureStatus

Methods

compare :: FeatureStatus -> FeatureStatus -> Ordering #

(<) :: FeatureStatus -> FeatureStatus -> Bool #

(<=) :: FeatureStatus -> FeatureStatus -> Bool #

(>) :: FeatureStatus -> FeatureStatus -> Bool #

(>=) :: FeatureStatus -> FeatureStatus -> Bool #

max :: FeatureStatus -> FeatureStatus -> FeatureStatus #

min :: FeatureStatus -> FeatureStatus -> FeatureStatus #

Hashable FeatureStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FeatureStatus

Methods

hashWithSalt :: Int -> FeatureStatus -> Int #

hash :: FeatureStatus -> Int #

type Rep FeatureStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FeatureStatus

type Rep FeatureStatus = D1 ('MetaData "FeatureStatus" "Amazonka.SageMaker.Types.FeatureStatus" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'True) (C1 ('MetaCons "FeatureStatus'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromFeatureStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

FeatureType

newtype FeatureType Source #

Constructors

FeatureType' 

Fields

Bundled Patterns

pattern FeatureType_Fractional :: FeatureType 
pattern FeatureType_Integral :: FeatureType 
pattern FeatureType_String :: FeatureType 

Instances

Instances details
FromJSON FeatureType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FeatureType

Methods

parseJSON :: Value -> Parser FeatureType #

parseJSONList :: Value -> Parser [FeatureType] #

FromJSONKey FeatureType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FeatureType

Methods

fromJSONKey :: FromJSONKeyFunction FeatureType #

fromJSONKeyList :: FromJSONKeyFunction [FeatureType] #

ToJSON FeatureType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FeatureType

Methods

toJSON :: FeatureType -> Value #

toEncoding :: FeatureType -> Encoding #

toJSONList :: [FeatureType] -> Value #

toEncodingList :: [FeatureType] -> Encoding #

ToJSONKey FeatureType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FeatureType

Methods

toJSONKey :: ToJSONKeyFunction FeatureType #

toJSONKeyList :: ToJSONKeyFunction [FeatureType] #

ToByteString FeatureType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FeatureType

Methods

toBS :: FeatureType -> ByteString #

ToHeader FeatureType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FeatureType

Methods

toHeader :: HeaderName -> FeatureType -> [Header] #

ToLog FeatureType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FeatureType

Methods

build :: FeatureType -> ByteStringBuilder #

ToQuery FeatureType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FeatureType

Methods

toQuery :: FeatureType -> QueryString #

FromText FeatureType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FeatureType

Methods

fromText :: Text -> Either String FeatureType #

ToText FeatureType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FeatureType

Methods

toText :: FeatureType -> Text #

FromXML FeatureType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FeatureType

Methods

parseXML :: [Node] -> Either String FeatureType #

ToXML FeatureType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FeatureType

Methods

toXML :: FeatureType -> XML #

Generic FeatureType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FeatureType

Associated Types

type Rep FeatureType :: Type -> Type #

Methods

from :: FeatureType -> Rep FeatureType x #

to :: Rep FeatureType x -> FeatureType #

Read FeatureType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FeatureType

Methods

readsPrec :: Int -> ReadS FeatureType #

readList :: ReadS [FeatureType] #

readPrec :: ReadPrec FeatureType #

readListPrec :: ReadPrec [FeatureType] #

Show FeatureType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FeatureType

Methods

showsPrec :: Int -> FeatureType -> ShowS #

show :: FeatureType -> String #

showList :: [FeatureType] -> ShowS #

NFData FeatureType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FeatureType

Methods

rnf :: FeatureType -> () #

Eq FeatureType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FeatureType

Methods

(==) :: FeatureType -> FeatureType -> Bool #

(/=) :: FeatureType -> FeatureType -> Bool #

Ord FeatureType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FeatureType

Methods

compare :: FeatureType -> FeatureType -> Ordering #

(<) :: FeatureType -> FeatureType -> Bool #

(<=) :: FeatureType -> FeatureType -> Bool #

(>) :: FeatureType -> FeatureType -> Bool #

(>=) :: FeatureType -> FeatureType -> Bool #

max :: FeatureType -> FeatureType -> FeatureType #

min :: FeatureType -> FeatureType -> FeatureType #

Hashable FeatureType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FeatureType

Methods

hashWithSalt :: Int -> FeatureType -> Int #

hash :: FeatureType -> Int #

type Rep FeatureType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FeatureType

type Rep FeatureType = D1 ('MetaData "FeatureType" "Amazonka.SageMaker.Types.FeatureType" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'True) (C1 ('MetaCons "FeatureType'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromFeatureType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

FileSystemAccessMode

newtype FileSystemAccessMode Source #

Constructors

FileSystemAccessMode' 

Fields

Bundled Patterns

pattern FileSystemAccessMode_Ro :: FileSystemAccessMode 
pattern FileSystemAccessMode_Rw :: FileSystemAccessMode 

Instances

Instances details
FromJSON FileSystemAccessMode Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FileSystemAccessMode

Methods

parseJSON :: Value -> Parser FileSystemAccessMode #

parseJSONList :: Value -> Parser [FileSystemAccessMode] #

FromJSONKey FileSystemAccessMode Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FileSystemAccessMode

Methods

fromJSONKey :: FromJSONKeyFunction FileSystemAccessMode #

fromJSONKeyList :: FromJSONKeyFunction [FileSystemAccessMode] #

ToJSON FileSystemAccessMode Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FileSystemAccessMode

Methods

toJSON :: FileSystemAccessMode -> Value #

toEncoding :: FileSystemAccessMode -> Encoding #

toJSONList :: [FileSystemAccessMode] -> Value #

toEncodingList :: [FileSystemAccessMode] -> Encoding #

ToJSONKey FileSystemAccessMode Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FileSystemAccessMode

Methods

toJSONKey :: ToJSONKeyFunction FileSystemAccessMode #

toJSONKeyList :: ToJSONKeyFunction [FileSystemAccessMode] #

ToByteString FileSystemAccessMode Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FileSystemAccessMode

Methods

toBS :: FileSystemAccessMode -> ByteString #

ToHeader FileSystemAccessMode Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FileSystemAccessMode

Methods

toHeader :: HeaderName -> FileSystemAccessMode -> [Header] #

ToLog FileSystemAccessMode Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FileSystemAccessMode

Methods

build :: FileSystemAccessMode -> ByteStringBuilder #

ToQuery FileSystemAccessMode Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FileSystemAccessMode

Methods

toQuery :: FileSystemAccessMode -> QueryString #

FromText FileSystemAccessMode Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FileSystemAccessMode

Methods

fromText :: Text -> Either String FileSystemAccessMode #

ToText FileSystemAccessMode Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FileSystemAccessMode

Methods

toText :: FileSystemAccessMode -> Text #

FromXML FileSystemAccessMode Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FileSystemAccessMode

Methods

parseXML :: [Node] -> Either String FileSystemAccessMode #

ToXML FileSystemAccessMode Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FileSystemAccessMode

Methods

toXML :: FileSystemAccessMode -> XML #

Generic FileSystemAccessMode Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FileSystemAccessMode

Associated Types

type Rep FileSystemAccessMode :: Type -> Type #

Methods

from :: FileSystemAccessMode -> Rep FileSystemAccessMode x #

to :: Rep FileSystemAccessMode x -> FileSystemAccessMode #

Read FileSystemAccessMode Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FileSystemAccessMode

Methods

readsPrec :: Int -> ReadS FileSystemAccessMode #

readList :: ReadS [FileSystemAccessMode] #

readPrec :: ReadPrec FileSystemAccessMode #

readListPrec :: ReadPrec [FileSystemAccessMode] #

Show FileSystemAccessMode Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FileSystemAccessMode

Methods

showsPrec :: Int -> FileSystemAccessMode -> ShowS #

show :: FileSystemAccessMode -> String #

showList :: [FileSystemAccessMode] -> ShowS #

NFData FileSystemAccessMode Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FileSystemAccessMode

Methods

rnf :: FileSystemAccessMode -> () #

Eq FileSystemAccessMode Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FileSystemAccessMode

Methods

(==) :: FileSystemAccessMode -> FileSystemAccessMode -> Bool #

(/=) :: FileSystemAccessMode -> FileSystemAccessMode -> Bool #

Ord FileSystemAccessMode Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FileSystemAccessMode

Methods

compare :: FileSystemAccessMode -> FileSystemAccessMode -> Ordering #

(<) :: FileSystemAccessMode -> FileSystemAccessMode -> Bool #

(<=) :: FileSystemAccessMode -> FileSystemAccessMode -> Bool #

(>) :: FileSystemAccessMode -> FileSystemAccessMode -> Bool #

(>=) :: FileSystemAccessMode -> FileSystemAccessMode -> Bool #

max :: FileSystemAccessMode -> FileSystemAccessMode -> FileSystemAccessMode #

min :: FileSystemAccessMode -> FileSystemAccessMode -> FileSystemAccessMode #

Hashable FileSystemAccessMode Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FileSystemAccessMode

Methods

hashWithSalt :: Int -> FileSystemAccessMode -> Int #

hash :: FileSystemAccessMode -> Int #

type Rep FileSystemAccessMode Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FileSystemAccessMode

type Rep FileSystemAccessMode = D1 ('MetaData "FileSystemAccessMode" "Amazonka.SageMaker.Types.FileSystemAccessMode" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'True) (C1 ('MetaCons "FileSystemAccessMode'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromFileSystemAccessMode") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

FileSystemType

newtype FileSystemType Source #

Constructors

FileSystemType' 

Fields

Bundled Patterns

pattern FileSystemType_EFS :: FileSystemType 
pattern FileSystemType_FSxLustre :: FileSystemType 

Instances

Instances details
FromJSON FileSystemType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FileSystemType

Methods

parseJSON :: Value -> Parser FileSystemType #

parseJSONList :: Value -> Parser [FileSystemType] #

FromJSONKey FileSystemType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FileSystemType

Methods

fromJSONKey :: FromJSONKeyFunction FileSystemType #

fromJSONKeyList :: FromJSONKeyFunction [FileSystemType] #

ToJSON FileSystemType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FileSystemType

Methods

toJSON :: FileSystemType -> Value #

toEncoding :: FileSystemType -> Encoding #

toJSONList :: [FileSystemType] -> Value #

toEncodingList :: [FileSystemType] -> Encoding #

ToJSONKey FileSystemType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FileSystemType

Methods

toJSONKey :: ToJSONKeyFunction FileSystemType #

toJSONKeyList :: ToJSONKeyFunction [FileSystemType] #

ToByteString FileSystemType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FileSystemType

Methods

toBS :: FileSystemType -> ByteString #

ToHeader FileSystemType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FileSystemType

Methods

toHeader :: HeaderName -> FileSystemType -> [Header] #

ToLog FileSystemType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FileSystemType

Methods

build :: FileSystemType -> ByteStringBuilder #

ToQuery FileSystemType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FileSystemType

Methods

toQuery :: FileSystemType -> QueryString #

FromText FileSystemType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FileSystemType

Methods

fromText :: Text -> Either String FileSystemType #

ToText FileSystemType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FileSystemType

Methods

toText :: FileSystemType -> Text #

FromXML FileSystemType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FileSystemType

Methods

parseXML :: [Node] -> Either String FileSystemType #

ToXML FileSystemType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FileSystemType

Methods

toXML :: FileSystemType -> XML #

Generic FileSystemType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FileSystemType

Associated Types

type Rep FileSystemType :: Type -> Type #

Methods

from :: FileSystemType -> Rep FileSystemType x #

to :: Rep FileSystemType x -> FileSystemType #

Read FileSystemType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FileSystemType

Methods

readsPrec :: Int -> ReadS FileSystemType #

readList :: ReadS [FileSystemType] #

readPrec :: ReadPrec FileSystemType #

readListPrec :: ReadPrec [FileSystemType] #

Show FileSystemType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FileSystemType

Methods

showsPrec :: Int -> FileSystemType -> ShowS #

show :: FileSystemType -> String #

showList :: [FileSystemType] -> ShowS #

NFData FileSystemType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FileSystemType

Methods

rnf :: FileSystemType -> () #

Eq FileSystemType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FileSystemType

Methods

(==) :: FileSystemType -> FileSystemType -> Bool #

(/=) :: FileSystemType -> FileSystemType -> Bool #

Ord FileSystemType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FileSystemType

Methods

compare :: FileSystemType -> FileSystemType -> Ordering #

(<) :: FileSystemType -> FileSystemType -> Bool #

(<=) :: FileSystemType -> FileSystemType -> Bool #

(>) :: FileSystemType -> FileSystemType -> Bool #

(>=) :: FileSystemType -> FileSystemType -> Bool #

max :: FileSystemType -> FileSystemType -> FileSystemType #

min :: FileSystemType -> FileSystemType -> FileSystemType #

Hashable FileSystemType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FileSystemType

Methods

hashWithSalt :: Int -> FileSystemType -> Int #

hash :: FileSystemType -> Int #

type Rep FileSystemType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FileSystemType

type Rep FileSystemType = D1 ('MetaData "FileSystemType" "Amazonka.SageMaker.Types.FileSystemType" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'True) (C1 ('MetaCons "FileSystemType'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromFileSystemType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

FlowDefinitionStatus

newtype FlowDefinitionStatus Source #

Constructors

FlowDefinitionStatus' 

Fields

Bundled Patterns

pattern FlowDefinitionStatus_Active :: FlowDefinitionStatus 
pattern FlowDefinitionStatus_Deleting :: FlowDefinitionStatus 
pattern FlowDefinitionStatus_Failed :: FlowDefinitionStatus 
pattern FlowDefinitionStatus_Initializing :: FlowDefinitionStatus 

Instances

Instances details
FromJSON FlowDefinitionStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FlowDefinitionStatus

Methods

parseJSON :: Value -> Parser FlowDefinitionStatus #

parseJSONList :: Value -> Parser [FlowDefinitionStatus] #

FromJSONKey FlowDefinitionStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FlowDefinitionStatus

Methods

fromJSONKey :: FromJSONKeyFunction FlowDefinitionStatus #

fromJSONKeyList :: FromJSONKeyFunction [FlowDefinitionStatus] #

ToJSON FlowDefinitionStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FlowDefinitionStatus

Methods

toJSON :: FlowDefinitionStatus -> Value #

toEncoding :: FlowDefinitionStatus -> Encoding #

toJSONList :: [FlowDefinitionStatus] -> Value #

toEncodingList :: [FlowDefinitionStatus] -> Encoding #

ToJSONKey FlowDefinitionStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FlowDefinitionStatus

Methods

toJSONKey :: ToJSONKeyFunction FlowDefinitionStatus #

toJSONKeyList :: ToJSONKeyFunction [FlowDefinitionStatus] #

ToByteString FlowDefinitionStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FlowDefinitionStatus

Methods

toBS :: FlowDefinitionStatus -> ByteString #

ToHeader FlowDefinitionStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FlowDefinitionStatus

Methods

toHeader :: HeaderName -> FlowDefinitionStatus -> [Header] #

ToLog FlowDefinitionStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FlowDefinitionStatus

Methods

build :: FlowDefinitionStatus -> ByteStringBuilder #

ToQuery FlowDefinitionStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FlowDefinitionStatus

Methods

toQuery :: FlowDefinitionStatus -> QueryString #

FromText FlowDefinitionStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FlowDefinitionStatus

Methods

fromText :: Text -> Either String FlowDefinitionStatus #

ToText FlowDefinitionStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FlowDefinitionStatus

Methods

toText :: FlowDefinitionStatus -> Text #

FromXML FlowDefinitionStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FlowDefinitionStatus

Methods

parseXML :: [Node] -> Either String FlowDefinitionStatus #

ToXML FlowDefinitionStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FlowDefinitionStatus

Methods

toXML :: FlowDefinitionStatus -> XML #

Generic FlowDefinitionStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FlowDefinitionStatus

Associated Types

type Rep FlowDefinitionStatus :: Type -> Type #

Methods

from :: FlowDefinitionStatus -> Rep FlowDefinitionStatus x #

to :: Rep FlowDefinitionStatus x -> FlowDefinitionStatus #

Read FlowDefinitionStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FlowDefinitionStatus

Methods

readsPrec :: Int -> ReadS FlowDefinitionStatus #

readList :: ReadS [FlowDefinitionStatus] #

readPrec :: ReadPrec FlowDefinitionStatus #

readListPrec :: ReadPrec [FlowDefinitionStatus] #

Show FlowDefinitionStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FlowDefinitionStatus

Methods

showsPrec :: Int -> FlowDefinitionStatus -> ShowS #

show :: FlowDefinitionStatus -> String #

showList :: [FlowDefinitionStatus] -> ShowS #

NFData FlowDefinitionStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FlowDefinitionStatus

Methods

rnf :: FlowDefinitionStatus -> () #

Eq FlowDefinitionStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FlowDefinitionStatus

Methods

(==) :: FlowDefinitionStatus -> FlowDefinitionStatus -> Bool #

(/=) :: FlowDefinitionStatus -> FlowDefinitionStatus -> Bool #

Ord FlowDefinitionStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FlowDefinitionStatus

Methods

compare :: FlowDefinitionStatus -> FlowDefinitionStatus -> Ordering #

(<) :: FlowDefinitionStatus -> FlowDefinitionStatus -> Bool #

(<=) :: FlowDefinitionStatus -> FlowDefinitionStatus -> Bool #

(>) :: FlowDefinitionStatus -> FlowDefinitionStatus -> Bool #

(>=) :: FlowDefinitionStatus -> FlowDefinitionStatus -> Bool #

max :: FlowDefinitionStatus -> FlowDefinitionStatus -> FlowDefinitionStatus #

min :: FlowDefinitionStatus -> FlowDefinitionStatus -> FlowDefinitionStatus #

Hashable FlowDefinitionStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FlowDefinitionStatus

Methods

hashWithSalt :: Int -> FlowDefinitionStatus -> Int #

hash :: FlowDefinitionStatus -> Int #

type Rep FlowDefinitionStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FlowDefinitionStatus

type Rep FlowDefinitionStatus = D1 ('MetaData "FlowDefinitionStatus" "Amazonka.SageMaker.Types.FlowDefinitionStatus" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'True) (C1 ('MetaCons "FlowDefinitionStatus'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromFlowDefinitionStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

Framework

newtype Framework Source #

Constructors

Framework' 

Fields

Bundled Patterns

pattern Framework_DARKNET :: Framework 
pattern Framework_KERAS :: Framework 
pattern Framework_MXNET :: Framework 
pattern Framework_ONNX :: Framework 
pattern Framework_PYTORCH :: Framework 
pattern Framework_SKLEARN :: Framework 
pattern Framework_TENSORFLOW :: Framework 
pattern Framework_TFLITE :: Framework 
pattern Framework_XGBOOST :: Framework 

Instances

Instances details
FromJSON Framework Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Framework

Methods

parseJSON :: Value -> Parser Framework #

parseJSONList :: Value -> Parser [Framework] #

FromJSONKey Framework Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Framework

Methods

fromJSONKey :: FromJSONKeyFunction Framework #

fromJSONKeyList :: FromJSONKeyFunction [Framework] #

ToJSON Framework Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Framework

Methods

toJSON :: Framework -> Value #

toEncoding :: Framework -> Encoding #

toJSONList :: [Framework] -> Value #

toEncodingList :: [Framework] -> Encoding #

ToJSONKey Framework Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Framework

Methods

toJSONKey :: ToJSONKeyFunction Framework #

toJSONKeyList :: ToJSONKeyFunction [Framework] #

ToByteString Framework Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Framework

Methods

toBS :: Framework -> ByteString #

ToHeader Framework Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Framework

Methods

toHeader :: HeaderName -> Framework -> [Header] #

ToLog Framework Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Framework

Methods

build :: Framework -> ByteStringBuilder #

ToQuery Framework Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Framework

Methods

toQuery :: Framework -> QueryString #

FromText Framework Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Framework

Methods

fromText :: Text -> Either String Framework #

ToText Framework Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Framework

Methods

toText :: Framework -> Text #

FromXML Framework Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Framework

Methods

parseXML :: [Node] -> Either String Framework #

ToXML Framework Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Framework

Methods

toXML :: Framework -> XML #

Generic Framework Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Framework

Associated Types

type Rep Framework :: Type -> Type #

Methods

from :: Framework -> Rep Framework x #

to :: Rep Framework x -> Framework #

Read Framework Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Framework

Methods

readsPrec :: Int -> ReadS Framework #

readList :: ReadS [Framework] #

readPrec :: ReadPrec Framework #

readListPrec :: ReadPrec [Framework] #

Show Framework Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Framework

Methods

showsPrec :: Int -> Framework -> ShowS #

show :: Framework -> String #

showList :: [Framework] -> ShowS #

NFData Framework Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Framework

Methods

rnf :: Framework -> () #

Eq Framework Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Framework

Methods

(==) :: Framework -> Framework -> Bool #

(/=) :: Framework -> Framework -> Bool #

Ord Framework Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Framework

Methods

compare :: Framework -> Framework -> Ordering #

(<) :: Framework -> Framework -> Bool #

(<=) :: Framework -> Framework -> Bool #

(>) :: Framework -> Framework -> Bool #

(>=) :: Framework -> Framework -> Bool #

max :: Framework -> Framework -> Framework #

min :: Framework -> Framework -> Framework #

Hashable Framework Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Framework

Methods

hashWithSalt :: Int -> Framework -> Int #

hash :: Framework -> Int #

type Rep Framework Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Framework

type Rep Framework = D1 ('MetaData "Framework" "Amazonka.SageMaker.Types.Framework" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'True) (C1 ('MetaCons "Framework'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromFramework") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

HubContentSortBy

newtype HubContentSortBy Source #

Constructors

HubContentSortBy' 

Fields

Bundled Patterns

pattern HubContentSortBy_CreationTime :: HubContentSortBy 
pattern HubContentSortBy_HubContentName :: HubContentSortBy 
pattern HubContentSortBy_HubContentStatus :: HubContentSortBy 

Instances

Instances details
FromJSON HubContentSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HubContentSortBy

Methods

parseJSON :: Value -> Parser HubContentSortBy #

parseJSONList :: Value -> Parser [HubContentSortBy] #

FromJSONKey HubContentSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HubContentSortBy

Methods

fromJSONKey :: FromJSONKeyFunction HubContentSortBy #

fromJSONKeyList :: FromJSONKeyFunction [HubContentSortBy] #

ToJSON HubContentSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HubContentSortBy

Methods

toJSON :: HubContentSortBy -> Value #

toEncoding :: HubContentSortBy -> Encoding #

toJSONList :: [HubContentSortBy] -> Value #

toEncodingList :: [HubContentSortBy] -> Encoding #

ToJSONKey HubContentSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HubContentSortBy

Methods

toJSONKey :: ToJSONKeyFunction HubContentSortBy #

toJSONKeyList :: ToJSONKeyFunction [HubContentSortBy] #

ToByteString HubContentSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HubContentSortBy

Methods

toBS :: HubContentSortBy -> ByteString #

ToHeader HubContentSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HubContentSortBy

Methods

toHeader :: HeaderName -> HubContentSortBy -> [Header] #

ToLog HubContentSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HubContentSortBy

Methods

build :: HubContentSortBy -> ByteStringBuilder #

ToQuery HubContentSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HubContentSortBy

Methods

toQuery :: HubContentSortBy -> QueryString #

FromText HubContentSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HubContentSortBy

Methods

fromText :: Text -> Either String HubContentSortBy #

ToText HubContentSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HubContentSortBy

Methods

toText :: HubContentSortBy -> Text #

FromXML HubContentSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HubContentSortBy

Methods

parseXML :: [Node] -> Either String HubContentSortBy #

ToXML HubContentSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HubContentSortBy

Methods

toXML :: HubContentSortBy -> XML #

Generic HubContentSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HubContentSortBy

Associated Types

type Rep HubContentSortBy :: Type -> Type #

Methods

from :: HubContentSortBy -> Rep HubContentSortBy x #

to :: Rep HubContentSortBy x -> HubContentSortBy #

Read HubContentSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HubContentSortBy

Methods

readsPrec :: Int -> ReadS HubContentSortBy #

readList :: ReadS [HubContentSortBy] #

readPrec :: ReadPrec HubContentSortBy #

readListPrec :: ReadPrec [HubContentSortBy] #

Show HubContentSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HubContentSortBy

Methods

showsPrec :: Int -> HubContentSortBy -> ShowS #

show :: HubContentSortBy -> String #

showList :: [HubContentSortBy] -> ShowS #

NFData HubContentSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HubContentSortBy

Methods

rnf :: HubContentSortBy -> () #

Eq HubContentSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HubContentSortBy

Methods

(==) :: HubContentSortBy -> HubContentSortBy -> Bool #

(/=) :: HubContentSortBy -> HubContentSortBy -> Bool #

Ord HubContentSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HubContentSortBy

Methods

compare :: HubContentSortBy -> HubContentSortBy -> Ordering #

(<) :: HubContentSortBy -> HubContentSortBy -> Bool #

(<=) :: HubContentSortBy -> HubContentSortBy -> Bool #

(>) :: HubContentSortBy -> HubContentSortBy -> Bool #

(>=) :: HubContentSortBy -> HubContentSortBy -> Bool #

max :: HubContentSortBy -> HubContentSortBy -> HubContentSortBy #

min :: HubContentSortBy -> HubContentSortBy -> HubContentSortBy #

Hashable HubContentSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HubContentSortBy

Methods

hashWithSalt :: Int -> HubContentSortBy -> Int #

hash :: HubContentSortBy -> Int #

type Rep HubContentSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HubContentSortBy

type Rep HubContentSortBy = D1 ('MetaData "HubContentSortBy" "Amazonka.SageMaker.Types.HubContentSortBy" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'True) (C1 ('MetaCons "HubContentSortBy'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromHubContentSortBy") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

HubContentStatus

newtype HubContentStatus Source #

Constructors

HubContentStatus' 

Fields

Bundled Patterns

pattern HubContentStatus_Available :: HubContentStatus 
pattern HubContentStatus_DeleteFailed :: HubContentStatus 
pattern HubContentStatus_Deleting :: HubContentStatus 
pattern HubContentStatus_ImportFailed :: HubContentStatus 
pattern HubContentStatus_Importing :: HubContentStatus 

Instances

Instances details
FromJSON HubContentStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HubContentStatus

Methods

parseJSON :: Value -> Parser HubContentStatus #

parseJSONList :: Value -> Parser [HubContentStatus] #

FromJSONKey HubContentStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HubContentStatus

Methods

fromJSONKey :: FromJSONKeyFunction HubContentStatus #

fromJSONKeyList :: FromJSONKeyFunction [HubContentStatus] #

ToJSON HubContentStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HubContentStatus

Methods

toJSON :: HubContentStatus -> Value #

toEncoding :: HubContentStatus -> Encoding #

toJSONList :: [HubContentStatus] -> Value #

toEncodingList :: [HubContentStatus] -> Encoding #

ToJSONKey HubContentStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HubContentStatus

Methods

toJSONKey :: ToJSONKeyFunction HubContentStatus #

toJSONKeyList :: ToJSONKeyFunction [HubContentStatus] #

ToByteString HubContentStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HubContentStatus

Methods

toBS :: HubContentStatus -> ByteString #

ToHeader HubContentStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HubContentStatus

Methods

toHeader :: HeaderName -> HubContentStatus -> [Header] #

ToLog HubContentStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HubContentStatus

Methods

build :: HubContentStatus -> ByteStringBuilder #

ToQuery HubContentStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HubContentStatus

Methods

toQuery :: HubContentStatus -> QueryString #

FromText HubContentStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HubContentStatus

Methods

fromText :: Text -> Either String HubContentStatus #

ToText HubContentStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HubContentStatus

Methods

toText :: HubContentStatus -> Text #

FromXML HubContentStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HubContentStatus

Methods

parseXML :: [Node] -> Either String HubContentStatus #

ToXML HubContentStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HubContentStatus

Methods

toXML :: HubContentStatus -> XML #

Generic HubContentStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HubContentStatus

Associated Types

type Rep HubContentStatus :: Type -> Type #

Methods

from :: HubContentStatus -> Rep HubContentStatus x #

to :: Rep HubContentStatus x -> HubContentStatus #

Read HubContentStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HubContentStatus

Methods

readsPrec :: Int -> ReadS HubContentStatus #

readList :: ReadS [HubContentStatus] #

readPrec :: ReadPrec HubContentStatus #

readListPrec :: ReadPrec [HubContentStatus] #

Show HubContentStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HubContentStatus

Methods

showsPrec :: Int -> HubContentStatus -> ShowS #

show :: HubContentStatus -> String #

showList :: [HubContentStatus] -> ShowS #

NFData HubContentStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HubContentStatus

Methods

rnf :: HubContentStatus -> () #

Eq HubContentStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HubContentStatus

Methods

(==) :: HubContentStatus -> HubContentStatus -> Bool #

(/=) :: HubContentStatus -> HubContentStatus -> Bool #

Ord HubContentStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HubContentStatus

Methods

compare :: HubContentStatus -> HubContentStatus -> Ordering #

(<) :: HubContentStatus -> HubContentStatus -> Bool #

(<=) :: HubContentStatus -> HubContentStatus -> Bool #

(>) :: HubContentStatus -> HubContentStatus -> Bool #

(>=) :: HubContentStatus -> HubContentStatus -> Bool #

max :: HubContentStatus -> HubContentStatus -> HubContentStatus #

min :: HubContentStatus -> HubContentStatus -> HubContentStatus #

Hashable HubContentStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HubContentStatus

Methods

hashWithSalt :: Int -> HubContentStatus -> Int #

hash :: HubContentStatus -> Int #

type Rep HubContentStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HubContentStatus

type Rep HubContentStatus = D1 ('MetaData "HubContentStatus" "Amazonka.SageMaker.Types.HubContentStatus" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'True) (C1 ('MetaCons "HubContentStatus'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromHubContentStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

HubContentType

newtype HubContentType Source #

Constructors

HubContentType' 

Fields

Bundled Patterns

pattern HubContentType_Model :: HubContentType 
pattern HubContentType_Notebook :: HubContentType 

Instances

Instances details
FromJSON HubContentType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HubContentType

Methods

parseJSON :: Value -> Parser HubContentType #

parseJSONList :: Value -> Parser [HubContentType] #

FromJSONKey HubContentType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HubContentType

Methods

fromJSONKey :: FromJSONKeyFunction HubContentType #

fromJSONKeyList :: FromJSONKeyFunction [HubContentType] #

ToJSON HubContentType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HubContentType

Methods

toJSON :: HubContentType -> Value #

toEncoding :: HubContentType -> Encoding #

toJSONList :: [HubContentType] -> Value #

toEncodingList :: [HubContentType] -> Encoding #

ToJSONKey HubContentType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HubContentType

Methods

toJSONKey :: ToJSONKeyFunction HubContentType #

toJSONKeyList :: ToJSONKeyFunction [HubContentType] #

ToByteString HubContentType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HubContentType

Methods

toBS :: HubContentType -> ByteString #

ToHeader HubContentType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HubContentType

Methods

toHeader :: HeaderName -> HubContentType -> [Header] #

ToLog HubContentType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HubContentType

Methods

build :: HubContentType -> ByteStringBuilder #

ToQuery HubContentType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HubContentType

Methods

toQuery :: HubContentType -> QueryString #

FromText HubContentType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HubContentType

Methods

fromText :: Text -> Either String HubContentType #

ToText HubContentType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HubContentType

Methods

toText :: HubContentType -> Text #

FromXML HubContentType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HubContentType

Methods

parseXML :: [Node] -> Either String HubContentType #

ToXML HubContentType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HubContentType

Methods

toXML :: HubContentType -> XML #

Generic HubContentType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HubContentType

Associated Types

type Rep HubContentType :: Type -> Type #

Methods

from :: HubContentType -> Rep HubContentType x #

to :: Rep HubContentType x -> HubContentType #

Read HubContentType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HubContentType

Methods

readsPrec :: Int -> ReadS HubContentType #

readList :: ReadS [HubContentType] #

readPrec :: ReadPrec HubContentType #

readListPrec :: ReadPrec [HubContentType] #

Show HubContentType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HubContentType

Methods

showsPrec :: Int -> HubContentType -> ShowS #

show :: HubContentType -> String #

showList :: [HubContentType] -> ShowS #

NFData HubContentType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HubContentType

Methods

rnf :: HubContentType -> () #

Eq HubContentType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HubContentType

Methods

(==) :: HubContentType -> HubContentType -> Bool #

(/=) :: HubContentType -> HubContentType -> Bool #

Ord HubContentType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HubContentType

Methods

compare :: HubContentType -> HubContentType -> Ordering #

(<) :: HubContentType -> HubContentType -> Bool #

(<=) :: HubContentType -> HubContentType -> Bool #

(>) :: HubContentType -> HubContentType -> Bool #

(>=) :: HubContentType -> HubContentType -> Bool #

max :: HubContentType -> HubContentType -> HubContentType #

min :: HubContentType -> HubContentType -> HubContentType #

Hashable HubContentType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HubContentType

Methods

hashWithSalt :: Int -> HubContentType -> Int #

hash :: HubContentType -> Int #

type Rep HubContentType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HubContentType

type Rep HubContentType = D1 ('MetaData "HubContentType" "Amazonka.SageMaker.Types.HubContentType" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'True) (C1 ('MetaCons "HubContentType'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromHubContentType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

HubSortBy

newtype HubSortBy Source #

Constructors

HubSortBy' 

Fields

Bundled Patterns

pattern HubSortBy_AccountIdOwner :: HubSortBy 
pattern HubSortBy_CreationTime :: HubSortBy 
pattern HubSortBy_HubName :: HubSortBy 
pattern HubSortBy_HubStatus :: HubSortBy 

Instances

Instances details
FromJSON HubSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HubSortBy

Methods

parseJSON :: Value -> Parser HubSortBy #

parseJSONList :: Value -> Parser [HubSortBy] #

FromJSONKey HubSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HubSortBy

Methods

fromJSONKey :: FromJSONKeyFunction HubSortBy #

fromJSONKeyList :: FromJSONKeyFunction [HubSortBy] #

ToJSON HubSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HubSortBy

Methods

toJSON :: HubSortBy -> Value #

toEncoding :: HubSortBy -> Encoding #

toJSONList :: [HubSortBy] -> Value #

toEncodingList :: [HubSortBy] -> Encoding #

ToJSONKey HubSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HubSortBy

Methods

toJSONKey :: ToJSONKeyFunction HubSortBy #

toJSONKeyList :: ToJSONKeyFunction [HubSortBy] #

ToByteString HubSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HubSortBy

Methods

toBS :: HubSortBy -> ByteString #

ToHeader HubSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HubSortBy

Methods

toHeader :: HeaderName -> HubSortBy -> [Header] #

ToLog HubSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HubSortBy

Methods

build :: HubSortBy -> ByteStringBuilder #

ToQuery HubSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HubSortBy

Methods

toQuery :: HubSortBy -> QueryString #

FromText HubSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HubSortBy

Methods

fromText :: Text -> Either String HubSortBy #

ToText HubSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HubSortBy

Methods

toText :: HubSortBy -> Text #

FromXML HubSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HubSortBy

Methods

parseXML :: [Node] -> Either String HubSortBy #

ToXML HubSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HubSortBy

Methods

toXML :: HubSortBy -> XML #

Generic HubSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HubSortBy

Associated Types

type Rep HubSortBy :: Type -> Type #

Methods

from :: HubSortBy -> Rep HubSortBy x #

to :: Rep HubSortBy x -> HubSortBy #

Read HubSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HubSortBy

Methods

readsPrec :: Int -> ReadS HubSortBy #

readList :: ReadS [HubSortBy] #

readPrec :: ReadPrec HubSortBy #

readListPrec :: ReadPrec [HubSortBy] #

Show HubSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HubSortBy

Methods

showsPrec :: Int -> HubSortBy -> ShowS #

show :: HubSortBy -> String #

showList :: [HubSortBy] -> ShowS #

NFData HubSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HubSortBy

Methods

rnf :: HubSortBy -> () #

Eq HubSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HubSortBy

Methods

(==) :: HubSortBy -> HubSortBy -> Bool #

(/=) :: HubSortBy -> HubSortBy -> Bool #

Ord HubSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HubSortBy

Methods

compare :: HubSortBy -> HubSortBy -> Ordering #

(<) :: HubSortBy -> HubSortBy -> Bool #

(<=) :: HubSortBy -> HubSortBy -> Bool #

(>) :: HubSortBy -> HubSortBy -> Bool #

(>=) :: HubSortBy -> HubSortBy -> Bool #

max :: HubSortBy -> HubSortBy -> HubSortBy #

min :: HubSortBy -> HubSortBy -> HubSortBy #

Hashable HubSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HubSortBy

Methods

hashWithSalt :: Int -> HubSortBy -> Int #

hash :: HubSortBy -> Int #

type Rep HubSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HubSortBy

type Rep HubSortBy = D1 ('MetaData "HubSortBy" "Amazonka.SageMaker.Types.HubSortBy" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'True) (C1 ('MetaCons "HubSortBy'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromHubSortBy") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

HubStatus

newtype HubStatus Source #

Constructors

HubStatus' 

Fields

Bundled Patterns

pattern HubStatus_CreateFailed :: HubStatus 
pattern HubStatus_Creating :: HubStatus 
pattern HubStatus_DeleteFailed :: HubStatus 
pattern HubStatus_Deleting :: HubStatus 
pattern HubStatus_InService :: HubStatus 
pattern HubStatus_UpdateFailed :: HubStatus 
pattern HubStatus_Updating :: HubStatus 

Instances

Instances details
FromJSON HubStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HubStatus

Methods

parseJSON :: Value -> Parser HubStatus #

parseJSONList :: Value -> Parser [HubStatus] #

FromJSONKey HubStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HubStatus

Methods

fromJSONKey :: FromJSONKeyFunction HubStatus #

fromJSONKeyList :: FromJSONKeyFunction [HubStatus] #

ToJSON HubStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HubStatus

Methods

toJSON :: HubStatus -> Value #

toEncoding :: HubStatus -> Encoding #

toJSONList :: [HubStatus] -> Value #

toEncodingList :: [HubStatus] -> Encoding #

ToJSONKey HubStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HubStatus

Methods

toJSONKey :: ToJSONKeyFunction HubStatus #

toJSONKeyList :: ToJSONKeyFunction [HubStatus] #

ToByteString HubStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HubStatus

Methods

toBS :: HubStatus -> ByteString #

ToHeader HubStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HubStatus

Methods

toHeader :: HeaderName -> HubStatus -> [Header] #

ToLog HubStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HubStatus

Methods

build :: HubStatus -> ByteStringBuilder #

ToQuery HubStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HubStatus

Methods

toQuery :: HubStatus -> QueryString #

FromText HubStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HubStatus

Methods

fromText :: Text -> Either String HubStatus #

ToText HubStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HubStatus

Methods

toText :: HubStatus -> Text #

FromXML HubStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HubStatus

Methods

parseXML :: [Node] -> Either String HubStatus #

ToXML HubStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HubStatus

Methods

toXML :: HubStatus -> XML #

Generic HubStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HubStatus

Associated Types

type Rep HubStatus :: Type -> Type #

Methods

from :: HubStatus -> Rep HubStatus x #

to :: Rep HubStatus x -> HubStatus #

Read HubStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HubStatus

Methods

readsPrec :: Int -> ReadS HubStatus #

readList :: ReadS [HubStatus] #

readPrec :: ReadPrec HubStatus #

readListPrec :: ReadPrec [HubStatus] #

Show HubStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HubStatus

Methods

showsPrec :: Int -> HubStatus -> ShowS #

show :: HubStatus -> String #

showList :: [HubStatus] -> ShowS #

NFData HubStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HubStatus

Methods

rnf :: HubStatus -> () #

Eq HubStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HubStatus

Methods

(==) :: HubStatus -> HubStatus -> Bool #

(/=) :: HubStatus -> HubStatus -> Bool #

Ord HubStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HubStatus

Methods

compare :: HubStatus -> HubStatus -> Ordering #

(<) :: HubStatus -> HubStatus -> Bool #

(<=) :: HubStatus -> HubStatus -> Bool #

(>) :: HubStatus -> HubStatus -> Bool #

(>=) :: HubStatus -> HubStatus -> Bool #

max :: HubStatus -> HubStatus -> HubStatus #

min :: HubStatus -> HubStatus -> HubStatus #

Hashable HubStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HubStatus

Methods

hashWithSalt :: Int -> HubStatus -> Int #

hash :: HubStatus -> Int #

type Rep HubStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HubStatus

type Rep HubStatus = D1 ('MetaData "HubStatus" "Amazonka.SageMaker.Types.HubStatus" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'True) (C1 ('MetaCons "HubStatus'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromHubStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

HumanTaskUiStatus

newtype HumanTaskUiStatus Source #

Constructors

HumanTaskUiStatus' 

Fields

Bundled Patterns

pattern HumanTaskUiStatus_Active :: HumanTaskUiStatus 
pattern HumanTaskUiStatus_Deleting :: HumanTaskUiStatus 

Instances

Instances details
FromJSON HumanTaskUiStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HumanTaskUiStatus

Methods

parseJSON :: Value -> Parser HumanTaskUiStatus #

parseJSONList :: Value -> Parser [HumanTaskUiStatus] #

FromJSONKey HumanTaskUiStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HumanTaskUiStatus

Methods

fromJSONKey :: FromJSONKeyFunction HumanTaskUiStatus #

fromJSONKeyList :: FromJSONKeyFunction [HumanTaskUiStatus] #

ToJSON HumanTaskUiStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HumanTaskUiStatus

Methods

toJSON :: HumanTaskUiStatus -> Value #

toEncoding :: HumanTaskUiStatus -> Encoding #

toJSONList :: [HumanTaskUiStatus] -> Value #

toEncodingList :: [HumanTaskUiStatus] -> Encoding #

ToJSONKey HumanTaskUiStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HumanTaskUiStatus

Methods

toJSONKey :: ToJSONKeyFunction HumanTaskUiStatus #

toJSONKeyList :: ToJSONKeyFunction [HumanTaskUiStatus] #

ToByteString HumanTaskUiStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HumanTaskUiStatus

Methods

toBS :: HumanTaskUiStatus -> ByteString #

ToHeader HumanTaskUiStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HumanTaskUiStatus

Methods

toHeader :: HeaderName -> HumanTaskUiStatus -> [Header] #

ToLog HumanTaskUiStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HumanTaskUiStatus

Methods

build :: HumanTaskUiStatus -> ByteStringBuilder #

ToQuery HumanTaskUiStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HumanTaskUiStatus

Methods

toQuery :: HumanTaskUiStatus -> QueryString #

FromText HumanTaskUiStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HumanTaskUiStatus

Methods

fromText :: Text -> Either String HumanTaskUiStatus #

ToText HumanTaskUiStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HumanTaskUiStatus

Methods

toText :: HumanTaskUiStatus -> Text #

FromXML HumanTaskUiStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HumanTaskUiStatus

Methods

parseXML :: [Node] -> Either String HumanTaskUiStatus #

ToXML HumanTaskUiStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HumanTaskUiStatus

Methods

toXML :: HumanTaskUiStatus -> XML #

Generic HumanTaskUiStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HumanTaskUiStatus

Associated Types

type Rep HumanTaskUiStatus :: Type -> Type #

Methods

from :: HumanTaskUiStatus -> Rep HumanTaskUiStatus x #

to :: Rep HumanTaskUiStatus x -> HumanTaskUiStatus #

Read HumanTaskUiStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HumanTaskUiStatus

Methods

readsPrec :: Int -> ReadS HumanTaskUiStatus #

readList :: ReadS [HumanTaskUiStatus] #

readPrec :: ReadPrec HumanTaskUiStatus #

readListPrec :: ReadPrec [HumanTaskUiStatus] #

Show HumanTaskUiStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HumanTaskUiStatus

Methods

showsPrec :: Int -> HumanTaskUiStatus -> ShowS #

show :: HumanTaskUiStatus -> String #

showList :: [HumanTaskUiStatus] -> ShowS #

NFData HumanTaskUiStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HumanTaskUiStatus

Methods

rnf :: HumanTaskUiStatus -> () #

Eq HumanTaskUiStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HumanTaskUiStatus

Methods

(==) :: HumanTaskUiStatus -> HumanTaskUiStatus -> Bool #

(/=) :: HumanTaskUiStatus -> HumanTaskUiStatus -> Bool #

Ord HumanTaskUiStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HumanTaskUiStatus

Methods

compare :: HumanTaskUiStatus -> HumanTaskUiStatus -> Ordering #

(<) :: HumanTaskUiStatus -> HumanTaskUiStatus -> Bool #

(<=) :: HumanTaskUiStatus -> HumanTaskUiStatus -> Bool #

(>) :: HumanTaskUiStatus -> HumanTaskUiStatus -> Bool #

(>=) :: HumanTaskUiStatus -> HumanTaskUiStatus -> Bool #

max :: HumanTaskUiStatus -> HumanTaskUiStatus -> HumanTaskUiStatus #

min :: HumanTaskUiStatus -> HumanTaskUiStatus -> HumanTaskUiStatus #

Hashable HumanTaskUiStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HumanTaskUiStatus

Methods

hashWithSalt :: Int -> HumanTaskUiStatus -> Int #

hash :: HumanTaskUiStatus -> Int #

type Rep HumanTaskUiStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HumanTaskUiStatus

type Rep HumanTaskUiStatus = D1 ('MetaData "HumanTaskUiStatus" "Amazonka.SageMaker.Types.HumanTaskUiStatus" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'True) (C1 ('MetaCons "HumanTaskUiStatus'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromHumanTaskUiStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

HyperParameterScalingType

newtype HyperParameterScalingType Source #

Constructors

HyperParameterScalingType' 

Fields

Bundled Patterns

pattern HyperParameterScalingType_Auto :: HyperParameterScalingType 
pattern HyperParameterScalingType_Linear :: HyperParameterScalingType 
pattern HyperParameterScalingType_Logarithmic :: HyperParameterScalingType 
pattern HyperParameterScalingType_ReverseLogarithmic :: HyperParameterScalingType 

Instances

Instances details
FromJSON HyperParameterScalingType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterScalingType

Methods

parseJSON :: Value -> Parser HyperParameterScalingType #

parseJSONList :: Value -> Parser [HyperParameterScalingType] #

FromJSONKey HyperParameterScalingType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterScalingType

Methods

fromJSONKey :: FromJSONKeyFunction HyperParameterScalingType #

fromJSONKeyList :: FromJSONKeyFunction [HyperParameterScalingType] #

ToJSON HyperParameterScalingType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterScalingType

Methods

toJSON :: HyperParameterScalingType -> Value #

toEncoding :: HyperParameterScalingType -> Encoding #

toJSONList :: [HyperParameterScalingType] -> Value #

toEncodingList :: [HyperParameterScalingType] -> Encoding #

ToJSONKey HyperParameterScalingType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterScalingType

Methods

toJSONKey :: ToJSONKeyFunction HyperParameterScalingType #

toJSONKeyList :: ToJSONKeyFunction [HyperParameterScalingType] #

ToByteString HyperParameterScalingType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterScalingType

Methods

toBS :: HyperParameterScalingType -> ByteString #

ToHeader HyperParameterScalingType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterScalingType

Methods

toHeader :: HeaderName -> HyperParameterScalingType -> [Header] #

ToLog HyperParameterScalingType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterScalingType

Methods

build :: HyperParameterScalingType -> ByteStringBuilder #

ToQuery HyperParameterScalingType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterScalingType

Methods

toQuery :: HyperParameterScalingType -> QueryString #

FromText HyperParameterScalingType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterScalingType

Methods

fromText :: Text -> Either String HyperParameterScalingType #

ToText HyperParameterScalingType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterScalingType

Methods

toText :: HyperParameterScalingType -> Text #

FromXML HyperParameterScalingType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterScalingType

Methods

parseXML :: [Node] -> Either String HyperParameterScalingType #

ToXML HyperParameterScalingType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterScalingType

Methods

toXML :: HyperParameterScalingType -> XML #

Generic HyperParameterScalingType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterScalingType

Associated Types

type Rep HyperParameterScalingType :: Type -> Type #

Methods

from :: HyperParameterScalingType -> Rep HyperParameterScalingType x #

to :: Rep HyperParameterScalingType x -> HyperParameterScalingType #

Read HyperParameterScalingType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterScalingType

Methods

readsPrec :: Int -> ReadS HyperParameterScalingType #

readList :: ReadS [HyperParameterScalingType] #

readPrec :: ReadPrec HyperParameterScalingType #

readListPrec :: ReadPrec [HyperParameterScalingType] #

Show HyperParameterScalingType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterScalingType

Methods

showsPrec :: Int -> HyperParameterScalingType -> ShowS #

show :: HyperParameterScalingType -> String #

showList :: [HyperParameterScalingType] -> ShowS #

NFData HyperParameterScalingType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterScalingType

Methods

rnf :: HyperParameterScalingType -> () #

Eq HyperParameterScalingType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterScalingType

Methods

(==) :: HyperParameterScalingType -> HyperParameterScalingType -> Bool #

(/=) :: HyperParameterScalingType -> HyperParameterScalingType -> Bool #

Ord HyperParameterScalingType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterScalingType

Methods

compare :: HyperParameterScalingType -> HyperParameterScalingType -> Ordering #

(<) :: HyperParameterScalingType -> HyperParameterScalingType -> Bool #

(<=) :: HyperParameterScalingType -> HyperParameterScalingType -> Bool #

(>) :: HyperParameterScalingType -> HyperParameterScalingType -> Bool #

(>=) :: HyperParameterScalingType -> HyperParameterScalingType -> Bool #

max :: HyperParameterScalingType -> HyperParameterScalingType -> HyperParameterScalingType #

min :: HyperParameterScalingType -> HyperParameterScalingType -> HyperParameterScalingType #

Hashable HyperParameterScalingType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterScalingType

Methods

hashWithSalt :: Int -> HyperParameterScalingType -> Int #

hash :: HyperParameterScalingType -> Int #

type Rep HyperParameterScalingType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterScalingType

type Rep HyperParameterScalingType = D1 ('MetaData "HyperParameterScalingType" "Amazonka.SageMaker.Types.HyperParameterScalingType" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'True) (C1 ('MetaCons "HyperParameterScalingType'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromHyperParameterScalingType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

HyperParameterTuningAllocationStrategy

newtype HyperParameterTuningAllocationStrategy Source #

Constructors

HyperParameterTuningAllocationStrategy' 

Fields

Bundled Patterns

pattern HyperParameterTuningAllocationStrategy_Prioritized :: HyperParameterTuningAllocationStrategy 

Instances

Instances details
FromJSON HyperParameterTuningAllocationStrategy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterTuningAllocationStrategy

Methods

parseJSON :: Value -> Parser HyperParameterTuningAllocationStrategy #

parseJSONList :: Value -> Parser [HyperParameterTuningAllocationStrategy] #

FromJSONKey HyperParameterTuningAllocationStrategy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterTuningAllocationStrategy

Methods

fromJSONKey :: FromJSONKeyFunction HyperParameterTuningAllocationStrategy #

fromJSONKeyList :: FromJSONKeyFunction [HyperParameterTuningAllocationStrategy] #

ToJSON HyperParameterTuningAllocationStrategy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterTuningAllocationStrategy

Methods

toJSON :: HyperParameterTuningAllocationStrategy -> Value #

toEncoding :: HyperParameterTuningAllocationStrategy -> Encoding #

toJSONList :: [HyperParameterTuningAllocationStrategy] -> Value #

toEncodingList :: [HyperParameterTuningAllocationStrategy] -> Encoding #

ToJSONKey HyperParameterTuningAllocationStrategy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterTuningAllocationStrategy

Methods

toJSONKey :: ToJSONKeyFunction HyperParameterTuningAllocationStrategy #

toJSONKeyList :: ToJSONKeyFunction [HyperParameterTuningAllocationStrategy] #

ToByteString HyperParameterTuningAllocationStrategy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterTuningAllocationStrategy

Methods

toBS :: HyperParameterTuningAllocationStrategy -> ByteString #

ToHeader HyperParameterTuningAllocationStrategy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterTuningAllocationStrategy

Methods

toHeader :: HeaderName -> HyperParameterTuningAllocationStrategy -> [Header] #

ToLog HyperParameterTuningAllocationStrategy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterTuningAllocationStrategy

Methods

build :: HyperParameterTuningAllocationStrategy -> ByteStringBuilder #

ToQuery HyperParameterTuningAllocationStrategy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterTuningAllocationStrategy

Methods

toQuery :: HyperParameterTuningAllocationStrategy -> QueryString #

FromText HyperParameterTuningAllocationStrategy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterTuningAllocationStrategy

Methods

fromText :: Text -> Either String HyperParameterTuningAllocationStrategy #

ToText HyperParameterTuningAllocationStrategy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterTuningAllocationStrategy

Methods

toText :: HyperParameterTuningAllocationStrategy -> Text #

FromXML HyperParameterTuningAllocationStrategy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterTuningAllocationStrategy

Methods

parseXML :: [Node] -> Either String HyperParameterTuningAllocationStrategy #

ToXML HyperParameterTuningAllocationStrategy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterTuningAllocationStrategy

Methods

toXML :: HyperParameterTuningAllocationStrategy -> XML #

Generic HyperParameterTuningAllocationStrategy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterTuningAllocationStrategy

Associated Types

type Rep HyperParameterTuningAllocationStrategy :: Type -> Type #

Methods

from :: HyperParameterTuningAllocationStrategy -> Rep HyperParameterTuningAllocationStrategy x #

to :: Rep HyperParameterTuningAllocationStrategy x -> HyperParameterTuningAllocationStrategy #

Read HyperParameterTuningAllocationStrategy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterTuningAllocationStrategy

Methods

readsPrec :: Int -> ReadS HyperParameterTuningAllocationStrategy #

readList :: ReadS [HyperParameterTuningAllocationStrategy] #

readPrec :: ReadPrec HyperParameterTuningAllocationStrategy #

readListPrec :: ReadPrec [HyperParameterTuningAllocationStrategy] #

Show HyperParameterTuningAllocationStrategy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterTuningAllocationStrategy

Methods

showsPrec :: Int -> HyperParameterTuningAllocationStrategy -> ShowS #

show :: HyperParameterTuningAllocationStrategy -> String #

showList :: [HyperParameterTuningAllocationStrategy] -> ShowS #

NFData HyperParameterTuningAllocationStrategy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterTuningAllocationStrategy

Methods

rnf :: HyperParameterTuningAllocationStrategy -> () #

Eq HyperParameterTuningAllocationStrategy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterTuningAllocationStrategy

Methods

(==) :: HyperParameterTuningAllocationStrategy -> HyperParameterTuningAllocationStrategy -> Bool #

(/=) :: HyperParameterTuningAllocationStrategy -> HyperParameterTuningAllocationStrategy -> Bool #

Ord HyperParameterTuningAllocationStrategy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterTuningAllocationStrategy

Methods

compare :: HyperParameterTuningAllocationStrategy -> HyperParameterTuningAllocationStrategy -> Ordering #

(<) :: HyperParameterTuningAllocationStrategy -> HyperParameterTuningAllocationStrategy -> Bool #

(<=) :: HyperParameterTuningAllocationStrategy -> HyperParameterTuningAllocationStrategy -> Bool #

(>) :: HyperParameterTuningAllocationStrategy -> HyperParameterTuningAllocationStrategy -> Bool #

(>=) :: HyperParameterTuningAllocationStrategy -> HyperParameterTuningAllocationStrategy -> Bool #

max :: HyperParameterTuningAllocationStrategy -> HyperParameterTuningAllocationStrategy -> HyperParameterTuningAllocationStrategy #

min :: HyperParameterTuningAllocationStrategy -> HyperParameterTuningAllocationStrategy -> HyperParameterTuningAllocationStrategy #

Hashable HyperParameterTuningAllocationStrategy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterTuningAllocationStrategy

Methods

hashWithSalt :: Int -> HyperParameterTuningAllocationStrategy -> Int #

hash :: HyperParameterTuningAllocationStrategy -> Int #

type Rep HyperParameterTuningAllocationStrategy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterTuningAllocationStrategy

type Rep HyperParameterTuningAllocationStrategy = D1 ('MetaData "HyperParameterTuningAllocationStrategy" "Amazonka.SageMaker.Types.HyperParameterTuningAllocationStrategy" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'True) (C1 ('MetaCons "HyperParameterTuningAllocationStrategy'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromHyperParameterTuningAllocationStrategy") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

HyperParameterTuningJobObjectiveType

newtype HyperParameterTuningJobObjectiveType Source #

Constructors

HyperParameterTuningJobObjectiveType' 

Fields

Bundled Patterns

pattern HyperParameterTuningJobObjectiveType_Maximize :: HyperParameterTuningJobObjectiveType 
pattern HyperParameterTuningJobObjectiveType_Minimize :: HyperParameterTuningJobObjectiveType 

Instances

Instances details
FromJSON HyperParameterTuningJobObjectiveType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobObjectiveType

Methods

parseJSON :: Value -> Parser HyperParameterTuningJobObjectiveType #

parseJSONList :: Value -> Parser [HyperParameterTuningJobObjectiveType] #

FromJSONKey HyperParameterTuningJobObjectiveType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobObjectiveType

Methods

fromJSONKey :: FromJSONKeyFunction HyperParameterTuningJobObjectiveType #

fromJSONKeyList :: FromJSONKeyFunction [HyperParameterTuningJobObjectiveType] #

ToJSON HyperParameterTuningJobObjectiveType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobObjectiveType

Methods

toJSON :: HyperParameterTuningJobObjectiveType -> Value #

toEncoding :: HyperParameterTuningJobObjectiveType -> Encoding #

toJSONList :: [HyperParameterTuningJobObjectiveType] -> Value #

toEncodingList :: [HyperParameterTuningJobObjectiveType] -> Encoding #

ToJSONKey HyperParameterTuningJobObjectiveType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobObjectiveType

Methods

toJSONKey :: ToJSONKeyFunction HyperParameterTuningJobObjectiveType #

toJSONKeyList :: ToJSONKeyFunction [HyperParameterTuningJobObjectiveType] #

ToByteString HyperParameterTuningJobObjectiveType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobObjectiveType

Methods

toBS :: HyperParameterTuningJobObjectiveType -> ByteString #

ToHeader HyperParameterTuningJobObjectiveType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobObjectiveType

Methods

toHeader :: HeaderName -> HyperParameterTuningJobObjectiveType -> [Header] #

ToLog HyperParameterTuningJobObjectiveType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobObjectiveType

Methods

build :: HyperParameterTuningJobObjectiveType -> ByteStringBuilder #

ToQuery HyperParameterTuningJobObjectiveType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobObjectiveType

Methods

toQuery :: HyperParameterTuningJobObjectiveType -> QueryString #

FromText HyperParameterTuningJobObjectiveType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobObjectiveType

Methods

fromText :: Text -> Either String HyperParameterTuningJobObjectiveType #

ToText HyperParameterTuningJobObjectiveType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobObjectiveType

Methods

toText :: HyperParameterTuningJobObjectiveType -> Text #

FromXML HyperParameterTuningJobObjectiveType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobObjectiveType

Methods

parseXML :: [Node] -> Either String HyperParameterTuningJobObjectiveType #

ToXML HyperParameterTuningJobObjectiveType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobObjectiveType

Methods

toXML :: HyperParameterTuningJobObjectiveType -> XML #

Generic HyperParameterTuningJobObjectiveType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobObjectiveType

Associated Types

type Rep HyperParameterTuningJobObjectiveType :: Type -> Type #

Methods

from :: HyperParameterTuningJobObjectiveType -> Rep HyperParameterTuningJobObjectiveType x #

to :: Rep HyperParameterTuningJobObjectiveType x -> HyperParameterTuningJobObjectiveType #

Read HyperParameterTuningJobObjectiveType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobObjectiveType

Methods

readsPrec :: Int -> ReadS HyperParameterTuningJobObjectiveType #

readList :: ReadS [HyperParameterTuningJobObjectiveType] #

readPrec :: ReadPrec HyperParameterTuningJobObjectiveType #

readListPrec :: ReadPrec [HyperParameterTuningJobObjectiveType] #

Show HyperParameterTuningJobObjectiveType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobObjectiveType

Methods

showsPrec :: Int -> HyperParameterTuningJobObjectiveType -> ShowS #

show :: HyperParameterTuningJobObjectiveType -> String #

showList :: [HyperParameterTuningJobObjectiveType] -> ShowS #

NFData HyperParameterTuningJobObjectiveType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobObjectiveType

Methods

rnf :: HyperParameterTuningJobObjectiveType -> () #

Eq HyperParameterTuningJobObjectiveType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobObjectiveType

Methods

(==) :: HyperParameterTuningJobObjectiveType -> HyperParameterTuningJobObjectiveType -> Bool #

(/=) :: HyperParameterTuningJobObjectiveType -> HyperParameterTuningJobObjectiveType -> Bool #

Ord HyperParameterTuningJobObjectiveType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobObjectiveType

Methods

compare :: HyperParameterTuningJobObjectiveType -> HyperParameterTuningJobObjectiveType -> Ordering #

(<) :: HyperParameterTuningJobObjectiveType -> HyperParameterTuningJobObjectiveType -> Bool #

(<=) :: HyperParameterTuningJobObjectiveType -> HyperParameterTuningJobObjectiveType -> Bool #

(>) :: HyperParameterTuningJobObjectiveType -> HyperParameterTuningJobObjectiveType -> Bool #

(>=) :: HyperParameterTuningJobObjectiveType -> HyperParameterTuningJobObjectiveType -> Bool #

max :: HyperParameterTuningJobObjectiveType -> HyperParameterTuningJobObjectiveType -> HyperParameterTuningJobObjectiveType #

min :: HyperParameterTuningJobObjectiveType -> HyperParameterTuningJobObjectiveType -> HyperParameterTuningJobObjectiveType #

Hashable HyperParameterTuningJobObjectiveType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobObjectiveType

Methods

hashWithSalt :: Int -> HyperParameterTuningJobObjectiveType -> Int #

hash :: HyperParameterTuningJobObjectiveType -> Int #

type Rep HyperParameterTuningJobObjectiveType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobObjectiveType

type Rep HyperParameterTuningJobObjectiveType = D1 ('MetaData "HyperParameterTuningJobObjectiveType" "Amazonka.SageMaker.Types.HyperParameterTuningJobObjectiveType" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'True) (C1 ('MetaCons "HyperParameterTuningJobObjectiveType'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromHyperParameterTuningJobObjectiveType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

HyperParameterTuningJobSortByOptions

newtype HyperParameterTuningJobSortByOptions Source #

Constructors

HyperParameterTuningJobSortByOptions' 

Fields

Bundled Patterns

pattern HyperParameterTuningJobSortByOptions_CreationTime :: HyperParameterTuningJobSortByOptions 
pattern HyperParameterTuningJobSortByOptions_Name :: HyperParameterTuningJobSortByOptions 
pattern HyperParameterTuningJobSortByOptions_Status :: HyperParameterTuningJobSortByOptions 

Instances

Instances details
FromJSON HyperParameterTuningJobSortByOptions Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobSortByOptions

Methods

parseJSON :: Value -> Parser HyperParameterTuningJobSortByOptions #

parseJSONList :: Value -> Parser [HyperParameterTuningJobSortByOptions] #

FromJSONKey HyperParameterTuningJobSortByOptions Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobSortByOptions

Methods

fromJSONKey :: FromJSONKeyFunction HyperParameterTuningJobSortByOptions #

fromJSONKeyList :: FromJSONKeyFunction [HyperParameterTuningJobSortByOptions] #

ToJSON HyperParameterTuningJobSortByOptions Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobSortByOptions

Methods

toJSON :: HyperParameterTuningJobSortByOptions -> Value #

toEncoding :: HyperParameterTuningJobSortByOptions -> Encoding #

toJSONList :: [HyperParameterTuningJobSortByOptions] -> Value #

toEncodingList :: [HyperParameterTuningJobSortByOptions] -> Encoding #

ToJSONKey HyperParameterTuningJobSortByOptions Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobSortByOptions

Methods

toJSONKey :: ToJSONKeyFunction HyperParameterTuningJobSortByOptions #

toJSONKeyList :: ToJSONKeyFunction [HyperParameterTuningJobSortByOptions] #

ToByteString HyperParameterTuningJobSortByOptions Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobSortByOptions

Methods

toBS :: HyperParameterTuningJobSortByOptions -> ByteString #

ToHeader HyperParameterTuningJobSortByOptions Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobSortByOptions

Methods

toHeader :: HeaderName -> HyperParameterTuningJobSortByOptions -> [Header] #

ToLog HyperParameterTuningJobSortByOptions Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobSortByOptions

Methods

build :: HyperParameterTuningJobSortByOptions -> ByteStringBuilder #

ToQuery HyperParameterTuningJobSortByOptions Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobSortByOptions

Methods

toQuery :: HyperParameterTuningJobSortByOptions -> QueryString #

FromText HyperParameterTuningJobSortByOptions Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobSortByOptions

Methods

fromText :: Text -> Either String HyperParameterTuningJobSortByOptions #

ToText HyperParameterTuningJobSortByOptions Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobSortByOptions

Methods

toText :: HyperParameterTuningJobSortByOptions -> Text #

FromXML HyperParameterTuningJobSortByOptions Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobSortByOptions

Methods

parseXML :: [Node] -> Either String HyperParameterTuningJobSortByOptions #

ToXML HyperParameterTuningJobSortByOptions Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobSortByOptions

Methods

toXML :: HyperParameterTuningJobSortByOptions -> XML #

Generic HyperParameterTuningJobSortByOptions Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobSortByOptions

Associated Types

type Rep HyperParameterTuningJobSortByOptions :: Type -> Type #

Methods

from :: HyperParameterTuningJobSortByOptions -> Rep HyperParameterTuningJobSortByOptions x #

to :: Rep HyperParameterTuningJobSortByOptions x -> HyperParameterTuningJobSortByOptions #

Read HyperParameterTuningJobSortByOptions Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobSortByOptions

Methods

readsPrec :: Int -> ReadS HyperParameterTuningJobSortByOptions #

readList :: ReadS [HyperParameterTuningJobSortByOptions] #

readPrec :: ReadPrec HyperParameterTuningJobSortByOptions #

readListPrec :: ReadPrec [HyperParameterTuningJobSortByOptions] #

Show HyperParameterTuningJobSortByOptions Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobSortByOptions

Methods

showsPrec :: Int -> HyperParameterTuningJobSortByOptions -> ShowS #

show :: HyperParameterTuningJobSortByOptions -> String #

showList :: [HyperParameterTuningJobSortByOptions] -> ShowS #

NFData HyperParameterTuningJobSortByOptions Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobSortByOptions

Methods

rnf :: HyperParameterTuningJobSortByOptions -> () #

Eq HyperParameterTuningJobSortByOptions Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobSortByOptions

Methods

(==) :: HyperParameterTuningJobSortByOptions -> HyperParameterTuningJobSortByOptions -> Bool #

(/=) :: HyperParameterTuningJobSortByOptions -> HyperParameterTuningJobSortByOptions -> Bool #

Ord HyperParameterTuningJobSortByOptions Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobSortByOptions

Methods

compare :: HyperParameterTuningJobSortByOptions -> HyperParameterTuningJobSortByOptions -> Ordering #

(<) :: HyperParameterTuningJobSortByOptions -> HyperParameterTuningJobSortByOptions -> Bool #

(<=) :: HyperParameterTuningJobSortByOptions -> HyperParameterTuningJobSortByOptions -> Bool #

(>) :: HyperParameterTuningJobSortByOptions -> HyperParameterTuningJobSortByOptions -> Bool #

(>=) :: HyperParameterTuningJobSortByOptions -> HyperParameterTuningJobSortByOptions -> Bool #

max :: HyperParameterTuningJobSortByOptions -> HyperParameterTuningJobSortByOptions -> HyperParameterTuningJobSortByOptions #

min :: HyperParameterTuningJobSortByOptions -> HyperParameterTuningJobSortByOptions -> HyperParameterTuningJobSortByOptions #

Hashable HyperParameterTuningJobSortByOptions Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobSortByOptions

Methods

hashWithSalt :: Int -> HyperParameterTuningJobSortByOptions -> Int #

hash :: HyperParameterTuningJobSortByOptions -> Int #

type Rep HyperParameterTuningJobSortByOptions Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobSortByOptions

type Rep HyperParameterTuningJobSortByOptions = D1 ('MetaData "HyperParameterTuningJobSortByOptions" "Amazonka.SageMaker.Types.HyperParameterTuningJobSortByOptions" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'True) (C1 ('MetaCons "HyperParameterTuningJobSortByOptions'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromHyperParameterTuningJobSortByOptions") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

HyperParameterTuningJobStatus

newtype HyperParameterTuningJobStatus Source #

Constructors

HyperParameterTuningJobStatus' 

Fields

Bundled Patterns

pattern HyperParameterTuningJobStatus_Completed :: HyperParameterTuningJobStatus 
pattern HyperParameterTuningJobStatus_Failed :: HyperParameterTuningJobStatus 
pattern HyperParameterTuningJobStatus_InProgress :: HyperParameterTuningJobStatus 
pattern HyperParameterTuningJobStatus_Stopped :: HyperParameterTuningJobStatus 
pattern HyperParameterTuningJobStatus_Stopping :: HyperParameterTuningJobStatus 

Instances

Instances details
FromJSON HyperParameterTuningJobStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobStatus

Methods

parseJSON :: Value -> Parser HyperParameterTuningJobStatus #

parseJSONList :: Value -> Parser [HyperParameterTuningJobStatus] #

FromJSONKey HyperParameterTuningJobStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobStatus

Methods

fromJSONKey :: FromJSONKeyFunction HyperParameterTuningJobStatus #

fromJSONKeyList :: FromJSONKeyFunction [HyperParameterTuningJobStatus] #

ToJSON HyperParameterTuningJobStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobStatus

Methods

toJSON :: HyperParameterTuningJobStatus -> Value #

toEncoding :: HyperParameterTuningJobStatus -> Encoding #

toJSONList :: [HyperParameterTuningJobStatus] -> Value #

toEncodingList :: [HyperParameterTuningJobStatus] -> Encoding #

ToJSONKey HyperParameterTuningJobStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobStatus

Methods

toJSONKey :: ToJSONKeyFunction HyperParameterTuningJobStatus #

toJSONKeyList :: ToJSONKeyFunction [HyperParameterTuningJobStatus] #

ToByteString HyperParameterTuningJobStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobStatus

Methods

toBS :: HyperParameterTuningJobStatus -> ByteString #

ToHeader HyperParameterTuningJobStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobStatus

Methods

toHeader :: HeaderName -> HyperParameterTuningJobStatus -> [Header] #

ToLog HyperParameterTuningJobStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobStatus

Methods

build :: HyperParameterTuningJobStatus -> ByteStringBuilder #

ToQuery HyperParameterTuningJobStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobStatus

Methods

toQuery :: HyperParameterTuningJobStatus -> QueryString #

FromText HyperParameterTuningJobStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobStatus

Methods

fromText :: Text -> Either String HyperParameterTuningJobStatus #

ToText HyperParameterTuningJobStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobStatus

Methods

toText :: HyperParameterTuningJobStatus -> Text #

FromXML HyperParameterTuningJobStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobStatus

Methods

parseXML :: [Node] -> Either String HyperParameterTuningJobStatus #

ToXML HyperParameterTuningJobStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobStatus

Methods

toXML :: HyperParameterTuningJobStatus -> XML #

Generic HyperParameterTuningJobStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobStatus

Associated Types

type Rep HyperParameterTuningJobStatus :: Type -> Type #

Methods

from :: HyperParameterTuningJobStatus -> Rep HyperParameterTuningJobStatus x #

to :: Rep HyperParameterTuningJobStatus x -> HyperParameterTuningJobStatus #

Read HyperParameterTuningJobStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobStatus

Methods

readsPrec :: Int -> ReadS HyperParameterTuningJobStatus #

readList :: ReadS [HyperParameterTuningJobStatus] #

readPrec :: ReadPrec HyperParameterTuningJobStatus #

readListPrec :: ReadPrec [HyperParameterTuningJobStatus] #

Show HyperParameterTuningJobStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobStatus

Methods

showsPrec :: Int -> HyperParameterTuningJobStatus -> ShowS #

show :: HyperParameterTuningJobStatus -> String #

showList :: [HyperParameterTuningJobStatus] -> ShowS #

NFData HyperParameterTuningJobStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobStatus

Methods

rnf :: HyperParameterTuningJobStatus -> () #

Eq HyperParameterTuningJobStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobStatus

Methods

(==) :: HyperParameterTuningJobStatus -> HyperParameterTuningJobStatus -> Bool #

(/=) :: HyperParameterTuningJobStatus -> HyperParameterTuningJobStatus -> Bool #

Ord HyperParameterTuningJobStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobStatus

Methods

compare :: HyperParameterTuningJobStatus -> HyperParameterTuningJobStatus -> Ordering #

(<) :: HyperParameterTuningJobStatus -> HyperParameterTuningJobStatus -> Bool #

(<=) :: HyperParameterTuningJobStatus -> HyperParameterTuningJobStatus -> Bool #

(>) :: HyperParameterTuningJobStatus -> HyperParameterTuningJobStatus -> Bool #

(>=) :: HyperParameterTuningJobStatus -> HyperParameterTuningJobStatus -> Bool #

max :: HyperParameterTuningJobStatus -> HyperParameterTuningJobStatus -> HyperParameterTuningJobStatus #

min :: HyperParameterTuningJobStatus -> HyperParameterTuningJobStatus -> HyperParameterTuningJobStatus #

Hashable HyperParameterTuningJobStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobStatus

Methods

hashWithSalt :: Int -> HyperParameterTuningJobStatus -> Int #

hash :: HyperParameterTuningJobStatus -> Int #

type Rep HyperParameterTuningJobStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobStatus

type Rep HyperParameterTuningJobStatus = D1 ('MetaData "HyperParameterTuningJobStatus" "Amazonka.SageMaker.Types.HyperParameterTuningJobStatus" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'True) (C1 ('MetaCons "HyperParameterTuningJobStatus'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromHyperParameterTuningJobStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

HyperParameterTuningJobStrategyType

newtype HyperParameterTuningJobStrategyType Source #

The strategy hyperparameter tuning uses to find the best combination of hyperparameters for your model. Currently, the only supported value is Bayesian.

Constructors

HyperParameterTuningJobStrategyType' 

Fields

Bundled Patterns

pattern HyperParameterTuningJobStrategyType_Bayesian :: HyperParameterTuningJobStrategyType 
pattern HyperParameterTuningJobStrategyType_Grid :: HyperParameterTuningJobStrategyType 
pattern HyperParameterTuningJobStrategyType_Hyperband :: HyperParameterTuningJobStrategyType 
pattern HyperParameterTuningJobStrategyType_Random :: HyperParameterTuningJobStrategyType 

Instances

Instances details
FromJSON HyperParameterTuningJobStrategyType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobStrategyType

Methods

parseJSON :: Value -> Parser HyperParameterTuningJobStrategyType #

parseJSONList :: Value -> Parser [HyperParameterTuningJobStrategyType] #

FromJSONKey HyperParameterTuningJobStrategyType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobStrategyType

Methods

fromJSONKey :: FromJSONKeyFunction HyperParameterTuningJobStrategyType #

fromJSONKeyList :: FromJSONKeyFunction [HyperParameterTuningJobStrategyType] #

ToJSON HyperParameterTuningJobStrategyType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobStrategyType

Methods

toJSON :: HyperParameterTuningJobStrategyType -> Value #

toEncoding :: HyperParameterTuningJobStrategyType -> Encoding #

toJSONList :: [HyperParameterTuningJobStrategyType] -> Value #

toEncodingList :: [HyperParameterTuningJobStrategyType] -> Encoding #

ToJSONKey HyperParameterTuningJobStrategyType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobStrategyType

Methods

toJSONKey :: ToJSONKeyFunction HyperParameterTuningJobStrategyType #

toJSONKeyList :: ToJSONKeyFunction [HyperParameterTuningJobStrategyType] #

ToByteString HyperParameterTuningJobStrategyType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobStrategyType

Methods

toBS :: HyperParameterTuningJobStrategyType -> ByteString #

ToHeader HyperParameterTuningJobStrategyType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobStrategyType

Methods

toHeader :: HeaderName -> HyperParameterTuningJobStrategyType -> [Header] #

ToLog HyperParameterTuningJobStrategyType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobStrategyType

Methods

build :: HyperParameterTuningJobStrategyType -> ByteStringBuilder #

ToQuery HyperParameterTuningJobStrategyType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobStrategyType

Methods

toQuery :: HyperParameterTuningJobStrategyType -> QueryString #

FromText HyperParameterTuningJobStrategyType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobStrategyType

Methods

fromText :: Text -> Either String HyperParameterTuningJobStrategyType #

ToText HyperParameterTuningJobStrategyType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobStrategyType

Methods

toText :: HyperParameterTuningJobStrategyType -> Text #

FromXML HyperParameterTuningJobStrategyType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobStrategyType

Methods

parseXML :: [Node] -> Either String HyperParameterTuningJobStrategyType #

ToXML HyperParameterTuningJobStrategyType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobStrategyType

Methods

toXML :: HyperParameterTuningJobStrategyType -> XML #

Generic HyperParameterTuningJobStrategyType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobStrategyType

Associated Types

type Rep HyperParameterTuningJobStrategyType :: Type -> Type #

Methods

from :: HyperParameterTuningJobStrategyType -> Rep HyperParameterTuningJobStrategyType x #

to :: Rep HyperParameterTuningJobStrategyType x -> HyperParameterTuningJobStrategyType #

Read HyperParameterTuningJobStrategyType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobStrategyType

Methods

readsPrec :: Int -> ReadS HyperParameterTuningJobStrategyType #

readList :: ReadS [HyperParameterTuningJobStrategyType] #

readPrec :: ReadPrec HyperParameterTuningJobStrategyType #

readListPrec :: ReadPrec [HyperParameterTuningJobStrategyType] #

Show HyperParameterTuningJobStrategyType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobStrategyType

Methods

showsPrec :: Int -> HyperParameterTuningJobStrategyType -> ShowS #

show :: HyperParameterTuningJobStrategyType -> String #

showList :: [HyperParameterTuningJobStrategyType] -> ShowS #

NFData HyperParameterTuningJobStrategyType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobStrategyType

Methods

rnf :: HyperParameterTuningJobStrategyType -> () #

Eq HyperParameterTuningJobStrategyType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobStrategyType

Methods

(==) :: HyperParameterTuningJobStrategyType -> HyperParameterTuningJobStrategyType -> Bool #

(/=) :: HyperParameterTuningJobStrategyType -> HyperParameterTuningJobStrategyType -> Bool #

Ord HyperParameterTuningJobStrategyType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobStrategyType

Methods

compare :: HyperParameterTuningJobStrategyType -> HyperParameterTuningJobStrategyType -> Ordering #

(<) :: HyperParameterTuningJobStrategyType -> HyperParameterTuningJobStrategyType -> Bool #

(<=) :: HyperParameterTuningJobStrategyType -> HyperParameterTuningJobStrategyType -> Bool #

(>) :: HyperParameterTuningJobStrategyType -> HyperParameterTuningJobStrategyType -> Bool #

(>=) :: HyperParameterTuningJobStrategyType -> HyperParameterTuningJobStrategyType -> Bool #

max :: HyperParameterTuningJobStrategyType -> HyperParameterTuningJobStrategyType -> HyperParameterTuningJobStrategyType #

min :: HyperParameterTuningJobStrategyType -> HyperParameterTuningJobStrategyType -> HyperParameterTuningJobStrategyType #

Hashable HyperParameterTuningJobStrategyType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobStrategyType

Methods

hashWithSalt :: Int -> HyperParameterTuningJobStrategyType -> Int #

hash :: HyperParameterTuningJobStrategyType -> Int #

type Rep HyperParameterTuningJobStrategyType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobStrategyType

type Rep HyperParameterTuningJobStrategyType = D1 ('MetaData "HyperParameterTuningJobStrategyType" "Amazonka.SageMaker.Types.HyperParameterTuningJobStrategyType" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'True) (C1 ('MetaCons "HyperParameterTuningJobStrategyType'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromHyperParameterTuningJobStrategyType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

HyperParameterTuningJobWarmStartType

newtype HyperParameterTuningJobWarmStartType Source #

Constructors

HyperParameterTuningJobWarmStartType' 

Fields

Bundled Patterns

pattern HyperParameterTuningJobWarmStartType_IdenticalDataAndAlgorithm :: HyperParameterTuningJobWarmStartType 
pattern HyperParameterTuningJobWarmStartType_TransferLearning :: HyperParameterTuningJobWarmStartType 

Instances

Instances details
FromJSON HyperParameterTuningJobWarmStartType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobWarmStartType

Methods

parseJSON :: Value -> Parser HyperParameterTuningJobWarmStartType #

parseJSONList :: Value -> Parser [HyperParameterTuningJobWarmStartType] #

FromJSONKey HyperParameterTuningJobWarmStartType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobWarmStartType

Methods

fromJSONKey :: FromJSONKeyFunction HyperParameterTuningJobWarmStartType #

fromJSONKeyList :: FromJSONKeyFunction [HyperParameterTuningJobWarmStartType] #

ToJSON HyperParameterTuningJobWarmStartType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobWarmStartType

Methods

toJSON :: HyperParameterTuningJobWarmStartType -> Value #

toEncoding :: HyperParameterTuningJobWarmStartType -> Encoding #

toJSONList :: [HyperParameterTuningJobWarmStartType] -> Value #

toEncodingList :: [HyperParameterTuningJobWarmStartType] -> Encoding #

ToJSONKey HyperParameterTuningJobWarmStartType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobWarmStartType

Methods

toJSONKey :: ToJSONKeyFunction HyperParameterTuningJobWarmStartType #

toJSONKeyList :: ToJSONKeyFunction [HyperParameterTuningJobWarmStartType] #

ToByteString HyperParameterTuningJobWarmStartType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobWarmStartType

Methods

toBS :: HyperParameterTuningJobWarmStartType -> ByteString #

ToHeader HyperParameterTuningJobWarmStartType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobWarmStartType

Methods

toHeader :: HeaderName -> HyperParameterTuningJobWarmStartType -> [Header] #

ToLog HyperParameterTuningJobWarmStartType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobWarmStartType

Methods

build :: HyperParameterTuningJobWarmStartType -> ByteStringBuilder #

ToQuery HyperParameterTuningJobWarmStartType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobWarmStartType

Methods

toQuery :: HyperParameterTuningJobWarmStartType -> QueryString #

FromText HyperParameterTuningJobWarmStartType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobWarmStartType

Methods

fromText :: Text -> Either String HyperParameterTuningJobWarmStartType #

ToText HyperParameterTuningJobWarmStartType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobWarmStartType

Methods

toText :: HyperParameterTuningJobWarmStartType -> Text #

FromXML HyperParameterTuningJobWarmStartType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobWarmStartType

Methods

parseXML :: [Node] -> Either String HyperParameterTuningJobWarmStartType #

ToXML HyperParameterTuningJobWarmStartType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobWarmStartType

Methods

toXML :: HyperParameterTuningJobWarmStartType -> XML #

Generic HyperParameterTuningJobWarmStartType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobWarmStartType

Associated Types

type Rep HyperParameterTuningJobWarmStartType :: Type -> Type #

Methods

from :: HyperParameterTuningJobWarmStartType -> Rep HyperParameterTuningJobWarmStartType x #

to :: Rep HyperParameterTuningJobWarmStartType x -> HyperParameterTuningJobWarmStartType #

Read HyperParameterTuningJobWarmStartType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobWarmStartType

Methods

readsPrec :: Int -> ReadS HyperParameterTuningJobWarmStartType #

readList :: ReadS [HyperParameterTuningJobWarmStartType] #

readPrec :: ReadPrec HyperParameterTuningJobWarmStartType #

readListPrec :: ReadPrec [HyperParameterTuningJobWarmStartType] #

Show HyperParameterTuningJobWarmStartType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobWarmStartType

Methods

showsPrec :: Int -> HyperParameterTuningJobWarmStartType -> ShowS #

show :: HyperParameterTuningJobWarmStartType -> String #

showList :: [HyperParameterTuningJobWarmStartType] -> ShowS #

NFData HyperParameterTuningJobWarmStartType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobWarmStartType

Methods

rnf :: HyperParameterTuningJobWarmStartType -> () #

Eq HyperParameterTuningJobWarmStartType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobWarmStartType

Methods

(==) :: HyperParameterTuningJobWarmStartType -> HyperParameterTuningJobWarmStartType -> Bool #

(/=) :: HyperParameterTuningJobWarmStartType -> HyperParameterTuningJobWarmStartType -> Bool #

Ord HyperParameterTuningJobWarmStartType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobWarmStartType

Methods

compare :: HyperParameterTuningJobWarmStartType -> HyperParameterTuningJobWarmStartType -> Ordering #

(<) :: HyperParameterTuningJobWarmStartType -> HyperParameterTuningJobWarmStartType -> Bool #

(<=) :: HyperParameterTuningJobWarmStartType -> HyperParameterTuningJobWarmStartType -> Bool #

(>) :: HyperParameterTuningJobWarmStartType -> HyperParameterTuningJobWarmStartType -> Bool #

(>=) :: HyperParameterTuningJobWarmStartType -> HyperParameterTuningJobWarmStartType -> Bool #

max :: HyperParameterTuningJobWarmStartType -> HyperParameterTuningJobWarmStartType -> HyperParameterTuningJobWarmStartType #

min :: HyperParameterTuningJobWarmStartType -> HyperParameterTuningJobWarmStartType -> HyperParameterTuningJobWarmStartType #

Hashable HyperParameterTuningJobWarmStartType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobWarmStartType

Methods

hashWithSalt :: Int -> HyperParameterTuningJobWarmStartType -> Int #

hash :: HyperParameterTuningJobWarmStartType -> Int #

type Rep HyperParameterTuningJobWarmStartType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobWarmStartType

type Rep HyperParameterTuningJobWarmStartType = D1 ('MetaData "HyperParameterTuningJobWarmStartType" "Amazonka.SageMaker.Types.HyperParameterTuningJobWarmStartType" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'True) (C1 ('MetaCons "HyperParameterTuningJobWarmStartType'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromHyperParameterTuningJobWarmStartType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

ImageSortBy

newtype ImageSortBy Source #

Constructors

ImageSortBy' 

Fields

Bundled Patterns

pattern ImageSortBy_CREATION_TIME :: ImageSortBy 
pattern ImageSortBy_IMAGE_NAME :: ImageSortBy 
pattern ImageSortBy_LAST_MODIFIED_TIME :: ImageSortBy 

Instances

Instances details
FromJSON ImageSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ImageSortBy

Methods

parseJSON :: Value -> Parser ImageSortBy #

parseJSONList :: Value -> Parser [ImageSortBy] #

FromJSONKey ImageSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ImageSortBy

Methods

fromJSONKey :: FromJSONKeyFunction ImageSortBy #

fromJSONKeyList :: FromJSONKeyFunction [ImageSortBy] #

ToJSON ImageSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ImageSortBy

Methods

toJSON :: ImageSortBy -> Value #

toEncoding :: ImageSortBy -> Encoding #

toJSONList :: [ImageSortBy] -> Value #

toEncodingList :: [ImageSortBy] -> Encoding #

ToJSONKey ImageSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ImageSortBy

Methods

toJSONKey :: ToJSONKeyFunction ImageSortBy #

toJSONKeyList :: ToJSONKeyFunction [ImageSortBy] #

ToByteString ImageSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ImageSortBy

Methods

toBS :: ImageSortBy -> ByteString #

ToHeader ImageSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ImageSortBy

Methods

toHeader :: HeaderName -> ImageSortBy -> [Header] #

ToLog ImageSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ImageSortBy

Methods

build :: ImageSortBy -> ByteStringBuilder #

ToQuery ImageSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ImageSortBy

Methods

toQuery :: ImageSortBy -> QueryString #

FromText ImageSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ImageSortBy

Methods

fromText :: Text -> Either String ImageSortBy #

ToText ImageSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ImageSortBy

Methods

toText :: ImageSortBy -> Text #

FromXML ImageSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ImageSortBy

Methods

parseXML :: [Node] -> Either String ImageSortBy #

ToXML ImageSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ImageSortBy

Methods

toXML :: ImageSortBy -> XML #

Generic ImageSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ImageSortBy

Associated Types

type Rep ImageSortBy :: Type -> Type #

Methods

from :: ImageSortBy -> Rep ImageSortBy x #

to :: Rep ImageSortBy x -> ImageSortBy #

Read ImageSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ImageSortBy

Methods

readsPrec :: Int -> ReadS ImageSortBy #

readList :: ReadS [ImageSortBy] #

readPrec :: ReadPrec ImageSortBy #

readListPrec :: ReadPrec [ImageSortBy] #

Show ImageSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ImageSortBy

Methods

showsPrec :: Int -> ImageSortBy -> ShowS #

show :: ImageSortBy -> String #

showList :: [ImageSortBy] -> ShowS #

NFData ImageSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ImageSortBy

Methods

rnf :: ImageSortBy -> () #

Eq ImageSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ImageSortBy

Methods

(==) :: ImageSortBy -> ImageSortBy -> Bool #

(/=) :: ImageSortBy -> ImageSortBy -> Bool #

Ord ImageSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ImageSortBy

Methods

compare :: ImageSortBy -> ImageSortBy -> Ordering #

(<) :: ImageSortBy -> ImageSortBy -> Bool #

(<=) :: ImageSortBy -> ImageSortBy -> Bool #

(>) :: ImageSortBy -> ImageSortBy -> Bool #

(>=) :: ImageSortBy -> ImageSortBy -> Bool #

max :: ImageSortBy -> ImageSortBy -> ImageSortBy #

min :: ImageSortBy -> ImageSortBy -> ImageSortBy #

Hashable ImageSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ImageSortBy

Methods

hashWithSalt :: Int -> ImageSortBy -> Int #

hash :: ImageSortBy -> Int #

type Rep ImageSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ImageSortBy

type Rep ImageSortBy = D1 ('MetaData "ImageSortBy" "Amazonka.SageMaker.Types.ImageSortBy" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'True) (C1 ('MetaCons "ImageSortBy'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromImageSortBy") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

ImageSortOrder

newtype ImageSortOrder Source #

Constructors

ImageSortOrder' 

Fields

Bundled Patterns

pattern ImageSortOrder_ASCENDING :: ImageSortOrder 
pattern ImageSortOrder_DESCENDING :: ImageSortOrder 

Instances

Instances details
FromJSON ImageSortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ImageSortOrder

Methods

parseJSON :: Value -> Parser ImageSortOrder #

parseJSONList :: Value -> Parser [ImageSortOrder] #

FromJSONKey ImageSortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ImageSortOrder

Methods

fromJSONKey :: FromJSONKeyFunction ImageSortOrder #

fromJSONKeyList :: FromJSONKeyFunction [ImageSortOrder] #

ToJSON ImageSortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ImageSortOrder

Methods

toJSON :: ImageSortOrder -> Value #

toEncoding :: ImageSortOrder -> Encoding #

toJSONList :: [ImageSortOrder] -> Value #

toEncodingList :: [ImageSortOrder] -> Encoding #

ToJSONKey ImageSortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ImageSortOrder

Methods

toJSONKey :: ToJSONKeyFunction ImageSortOrder #

toJSONKeyList :: ToJSONKeyFunction [ImageSortOrder] #

ToByteString ImageSortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ImageSortOrder

Methods

toBS :: ImageSortOrder -> ByteString #

ToHeader ImageSortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ImageSortOrder

Methods

toHeader :: HeaderName -> ImageSortOrder -> [Header] #

ToLog ImageSortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ImageSortOrder

Methods

build :: ImageSortOrder -> ByteStringBuilder #

ToQuery ImageSortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ImageSortOrder

Methods

toQuery :: ImageSortOrder -> QueryString #

FromText ImageSortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ImageSortOrder

Methods

fromText :: Text -> Either String ImageSortOrder #

ToText ImageSortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ImageSortOrder

Methods

toText :: ImageSortOrder -> Text #

FromXML ImageSortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ImageSortOrder

Methods

parseXML :: [Node] -> Either String ImageSortOrder #

ToXML ImageSortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ImageSortOrder

Methods

toXML :: ImageSortOrder -> XML #

Generic ImageSortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ImageSortOrder

Associated Types

type Rep ImageSortOrder :: Type -> Type #

Methods

from :: ImageSortOrder -> Rep ImageSortOrder x #

to :: Rep ImageSortOrder x -> ImageSortOrder #

Read ImageSortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ImageSortOrder

Methods

readsPrec :: Int -> ReadS ImageSortOrder #

readList :: ReadS [ImageSortOrder] #

readPrec :: ReadPrec ImageSortOrder #

readListPrec :: ReadPrec [ImageSortOrder] #

Show ImageSortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ImageSortOrder

Methods

showsPrec :: Int -> ImageSortOrder -> ShowS #

show :: ImageSortOrder -> String #

showList :: [ImageSortOrder] -> ShowS #

NFData ImageSortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ImageSortOrder

Methods

rnf :: ImageSortOrder -> () #

Eq ImageSortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ImageSortOrder

Methods

(==) :: ImageSortOrder -> ImageSortOrder -> Bool #

(/=) :: ImageSortOrder -> ImageSortOrder -> Bool #

Ord ImageSortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ImageSortOrder

Methods

compare :: ImageSortOrder -> ImageSortOrder -> Ordering #

(<) :: ImageSortOrder -> ImageSortOrder -> Bool #

(<=) :: ImageSortOrder -> ImageSortOrder -> Bool #

(>) :: ImageSortOrder -> ImageSortOrder -> Bool #

(>=) :: ImageSortOrder -> ImageSortOrder -> Bool #

max :: ImageSortOrder -> ImageSortOrder -> ImageSortOrder #

min :: ImageSortOrder -> ImageSortOrder -> ImageSortOrder #

Hashable ImageSortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ImageSortOrder

Methods

hashWithSalt :: Int -> ImageSortOrder -> Int #

hash :: ImageSortOrder -> Int #

type Rep ImageSortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ImageSortOrder

type Rep ImageSortOrder = D1 ('MetaData "ImageSortOrder" "Amazonka.SageMaker.Types.ImageSortOrder" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'True) (C1 ('MetaCons "ImageSortOrder'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromImageSortOrder") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

ImageStatus

newtype ImageStatus Source #

Constructors

ImageStatus' 

Fields

Bundled Patterns

pattern ImageStatus_CREATED :: ImageStatus 
pattern ImageStatus_CREATE_FAILED :: ImageStatus 
pattern ImageStatus_CREATING :: ImageStatus 
pattern ImageStatus_DELETE_FAILED :: ImageStatus 
pattern ImageStatus_DELETING :: ImageStatus 
pattern ImageStatus_UPDATE_FAILED :: ImageStatus 
pattern ImageStatus_UPDATING :: ImageStatus 

Instances

Instances details
FromJSON ImageStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ImageStatus

Methods

parseJSON :: Value -> Parser ImageStatus #

parseJSONList :: Value -> Parser [ImageStatus] #

FromJSONKey ImageStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ImageStatus

Methods

fromJSONKey :: FromJSONKeyFunction ImageStatus #

fromJSONKeyList :: FromJSONKeyFunction [ImageStatus] #

ToJSON ImageStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ImageStatus

Methods

toJSON :: ImageStatus -> Value #

toEncoding :: ImageStatus -> Encoding #

toJSONList :: [ImageStatus] -> Value #

toEncodingList :: [ImageStatus] -> Encoding #

ToJSONKey ImageStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ImageStatus

Methods

toJSONKey :: ToJSONKeyFunction ImageStatus #

toJSONKeyList :: ToJSONKeyFunction [ImageStatus] #

ToByteString ImageStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ImageStatus

Methods

toBS :: ImageStatus -> ByteString #

ToHeader ImageStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ImageStatus

Methods

toHeader :: HeaderName -> ImageStatus -> [Header] #

ToLog ImageStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ImageStatus

Methods

build :: ImageStatus -> ByteStringBuilder #

ToQuery ImageStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ImageStatus

Methods

toQuery :: ImageStatus -> QueryString #

FromText ImageStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ImageStatus

Methods

fromText :: Text -> Either String ImageStatus #

ToText ImageStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ImageStatus

Methods

toText :: ImageStatus -> Text #

FromXML ImageStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ImageStatus

Methods

parseXML :: [Node] -> Either String ImageStatus #

ToXML ImageStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ImageStatus

Methods

toXML :: ImageStatus -> XML #

Generic ImageStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ImageStatus

Associated Types

type Rep ImageStatus :: Type -> Type #

Methods

from :: ImageStatus -> Rep ImageStatus x #

to :: Rep ImageStatus x -> ImageStatus #

Read ImageStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ImageStatus

Methods

readsPrec :: Int -> ReadS ImageStatus #

readList :: ReadS [ImageStatus] #

readPrec :: ReadPrec ImageStatus #

readListPrec :: ReadPrec [ImageStatus] #

Show ImageStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ImageStatus

Methods

showsPrec :: Int -> ImageStatus -> ShowS #

show :: ImageStatus -> String #

showList :: [ImageStatus] -> ShowS #

NFData ImageStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ImageStatus

Methods

rnf :: ImageStatus -> () #

Eq ImageStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ImageStatus

Methods

(==) :: ImageStatus -> ImageStatus -> Bool #

(/=) :: ImageStatus -> ImageStatus -> Bool #

Ord ImageStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ImageStatus

Methods

compare :: ImageStatus -> ImageStatus -> Ordering #

(<) :: ImageStatus -> ImageStatus -> Bool #

(<=) :: ImageStatus -> ImageStatus -> Bool #

(>) :: ImageStatus -> ImageStatus -> Bool #

(>=) :: ImageStatus -> ImageStatus -> Bool #

max :: ImageStatus -> ImageStatus -> ImageStatus #

min :: ImageStatus -> ImageStatus -> ImageStatus #

Hashable ImageStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ImageStatus

Methods

hashWithSalt :: Int -> ImageStatus -> Int #

hash :: ImageStatus -> Int #

type Rep ImageStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ImageStatus

type Rep ImageStatus = D1 ('MetaData "ImageStatus" "Amazonka.SageMaker.Types.ImageStatus" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'True) (C1 ('MetaCons "ImageStatus'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromImageStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

ImageVersionSortBy

newtype ImageVersionSortBy Source #

Constructors

ImageVersionSortBy' 

Fields

Bundled Patterns

pattern ImageVersionSortBy_CREATION_TIME :: ImageVersionSortBy 
pattern ImageVersionSortBy_LAST_MODIFIED_TIME :: ImageVersionSortBy 
pattern ImageVersionSortBy_VERSION :: ImageVersionSortBy 

Instances

Instances details
FromJSON ImageVersionSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ImageVersionSortBy

Methods

parseJSON :: Value -> Parser ImageVersionSortBy #

parseJSONList :: Value -> Parser [ImageVersionSortBy] #

FromJSONKey ImageVersionSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ImageVersionSortBy

Methods

fromJSONKey :: FromJSONKeyFunction ImageVersionSortBy #

fromJSONKeyList :: FromJSONKeyFunction [ImageVersionSortBy] #

ToJSON ImageVersionSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ImageVersionSortBy

Methods

toJSON :: ImageVersionSortBy -> Value #

toEncoding :: ImageVersionSortBy -> Encoding #

toJSONList :: [ImageVersionSortBy] -> Value #

toEncodingList :: [ImageVersionSortBy] -> Encoding #

ToJSONKey ImageVersionSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ImageVersionSortBy

Methods

toJSONKey :: ToJSONKeyFunction ImageVersionSortBy #

toJSONKeyList :: ToJSONKeyFunction [ImageVersionSortBy] #

ToByteString ImageVersionSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ImageVersionSortBy

Methods

toBS :: ImageVersionSortBy -> ByteString #

ToHeader ImageVersionSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ImageVersionSortBy

Methods

toHeader :: HeaderName -> ImageVersionSortBy -> [Header] #

ToLog ImageVersionSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ImageVersionSortBy

Methods

build :: ImageVersionSortBy -> ByteStringBuilder #

ToQuery ImageVersionSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ImageVersionSortBy

Methods

toQuery :: ImageVersionSortBy -> QueryString #

FromText ImageVersionSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ImageVersionSortBy

Methods

fromText :: Text -> Either String ImageVersionSortBy #

ToText ImageVersionSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ImageVersionSortBy

Methods

toText :: ImageVersionSortBy -> Text #

FromXML ImageVersionSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ImageVersionSortBy

Methods

parseXML :: [Node] -> Either String ImageVersionSortBy #

ToXML ImageVersionSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ImageVersionSortBy

Methods

toXML :: ImageVersionSortBy -> XML #

Generic ImageVersionSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ImageVersionSortBy

Associated Types

type Rep ImageVersionSortBy :: Type -> Type #

Methods

from :: ImageVersionSortBy -> Rep ImageVersionSortBy x #

to :: Rep ImageVersionSortBy x -> ImageVersionSortBy #

Read ImageVersionSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ImageVersionSortBy

Methods

readsPrec :: Int -> ReadS ImageVersionSortBy #

readList :: ReadS [ImageVersionSortBy] #

readPrec :: ReadPrec ImageVersionSortBy #

readListPrec :: ReadPrec [ImageVersionSortBy] #

Show ImageVersionSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ImageVersionSortBy

Methods

showsPrec :: Int -> ImageVersionSortBy -> ShowS #

show :: ImageVersionSortBy -> String #

showList :: [ImageVersionSortBy] -> ShowS #

NFData ImageVersionSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ImageVersionSortBy

Methods

rnf :: ImageVersionSortBy -> () #

Eq ImageVersionSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ImageVersionSortBy

Methods

(==) :: ImageVersionSortBy -> ImageVersionSortBy -> Bool #

(/=) :: ImageVersionSortBy -> ImageVersionSortBy -> Bool #

Ord ImageVersionSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ImageVersionSortBy

Methods

compare :: ImageVersionSortBy -> ImageVersionSortBy -> Ordering #

(<) :: ImageVersionSortBy -> ImageVersionSortBy -> Bool #

(<=) :: ImageVersionSortBy -> ImageVersionSortBy -> Bool #

(>) :: ImageVersionSortBy -> ImageVersionSortBy -> Bool #

(>=) :: ImageVersionSortBy -> ImageVersionSortBy -> Bool #

max :: ImageVersionSortBy -> ImageVersionSortBy -> ImageVersionSortBy #

min :: ImageVersionSortBy -> ImageVersionSortBy -> ImageVersionSortBy #

Hashable ImageVersionSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ImageVersionSortBy

Methods

hashWithSalt :: Int -> ImageVersionSortBy -> Int #

hash :: ImageVersionSortBy -> Int #

type Rep ImageVersionSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ImageVersionSortBy

type Rep ImageVersionSortBy = D1 ('MetaData "ImageVersionSortBy" "Amazonka.SageMaker.Types.ImageVersionSortBy" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'True) (C1 ('MetaCons "ImageVersionSortBy'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromImageVersionSortBy") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

ImageVersionSortOrder

newtype ImageVersionSortOrder Source #

Constructors

ImageVersionSortOrder' 

Fields

Bundled Patterns

pattern ImageVersionSortOrder_ASCENDING :: ImageVersionSortOrder 
pattern ImageVersionSortOrder_DESCENDING :: ImageVersionSortOrder 

Instances

Instances details
FromJSON ImageVersionSortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ImageVersionSortOrder

Methods

parseJSON :: Value -> Parser ImageVersionSortOrder #

parseJSONList :: Value -> Parser [ImageVersionSortOrder] #

FromJSONKey ImageVersionSortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ImageVersionSortOrder

Methods

fromJSONKey :: FromJSONKeyFunction ImageVersionSortOrder #

fromJSONKeyList :: FromJSONKeyFunction [ImageVersionSortOrder] #

ToJSON ImageVersionSortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ImageVersionSortOrder

Methods

toJSON :: ImageVersionSortOrder -> Value #

toEncoding :: ImageVersionSortOrder -> Encoding #

toJSONList :: [ImageVersionSortOrder] -> Value #

toEncodingList :: [ImageVersionSortOrder] -> Encoding #

ToJSONKey ImageVersionSortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ImageVersionSortOrder

Methods

toJSONKey :: ToJSONKeyFunction ImageVersionSortOrder #

toJSONKeyList :: ToJSONKeyFunction [ImageVersionSortOrder] #

ToByteString ImageVersionSortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ImageVersionSortOrder

Methods

toBS :: ImageVersionSortOrder -> ByteString #

ToHeader ImageVersionSortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ImageVersionSortOrder

Methods

toHeader :: HeaderName -> ImageVersionSortOrder -> [Header] #

ToLog ImageVersionSortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ImageVersionSortOrder

Methods

build :: ImageVersionSortOrder -> ByteStringBuilder #

ToQuery ImageVersionSortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ImageVersionSortOrder

Methods

toQuery :: ImageVersionSortOrder -> QueryString #

FromText ImageVersionSortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ImageVersionSortOrder

Methods

fromText :: Text -> Either String ImageVersionSortOrder #

ToText ImageVersionSortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ImageVersionSortOrder

Methods

toText :: ImageVersionSortOrder -> Text #

FromXML ImageVersionSortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ImageVersionSortOrder

Methods

parseXML :: [Node] -> Either String ImageVersionSortOrder #

ToXML ImageVersionSortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ImageVersionSortOrder

Methods

toXML :: ImageVersionSortOrder -> XML #

Generic ImageVersionSortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ImageVersionSortOrder

Associated Types

type Rep ImageVersionSortOrder :: Type -> Type #

Methods

from :: ImageVersionSortOrder -> Rep ImageVersionSortOrder x #

to :: Rep ImageVersionSortOrder x -> ImageVersionSortOrder #

Read ImageVersionSortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ImageVersionSortOrder

Methods

readsPrec :: Int -> ReadS ImageVersionSortOrder #

readList :: ReadS [ImageVersionSortOrder] #

readPrec :: ReadPrec ImageVersionSortOrder #

readListPrec :: ReadPrec [ImageVersionSortOrder] #

Show ImageVersionSortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ImageVersionSortOrder

Methods

showsPrec :: Int -> ImageVersionSortOrder -> ShowS #

show :: ImageVersionSortOrder -> String #

showList :: [ImageVersionSortOrder] -> ShowS #

NFData ImageVersionSortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ImageVersionSortOrder

Methods

rnf :: ImageVersionSortOrder -> () #

Eq ImageVersionSortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ImageVersionSortOrder

Methods

(==) :: ImageVersionSortOrder -> ImageVersionSortOrder -> Bool #

(/=) :: ImageVersionSortOrder -> ImageVersionSortOrder -> Bool #

Ord ImageVersionSortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ImageVersionSortOrder

Methods

compare :: ImageVersionSortOrder -> ImageVersionSortOrder -> Ordering #

(<) :: ImageVersionSortOrder -> ImageVersionSortOrder -> Bool #

(<=) :: ImageVersionSortOrder -> ImageVersionSortOrder -> Bool #

(>) :: ImageVersionSortOrder -> ImageVersionSortOrder -> Bool #

(>=) :: ImageVersionSortOrder -> ImageVersionSortOrder -> Bool #

max :: ImageVersionSortOrder -> ImageVersionSortOrder -> ImageVersionSortOrder #

min :: ImageVersionSortOrder -> ImageVersionSortOrder -> ImageVersionSortOrder #

Hashable ImageVersionSortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ImageVersionSortOrder

Methods

hashWithSalt :: Int -> ImageVersionSortOrder -> Int #

hash :: ImageVersionSortOrder -> Int #

type Rep ImageVersionSortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ImageVersionSortOrder

type Rep ImageVersionSortOrder = D1 ('MetaData "ImageVersionSortOrder" "Amazonka.SageMaker.Types.ImageVersionSortOrder" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'True) (C1 ('MetaCons "ImageVersionSortOrder'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromImageVersionSortOrder") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

ImageVersionStatus

newtype ImageVersionStatus Source #

Constructors

ImageVersionStatus' 

Fields

Bundled Patterns

pattern ImageVersionStatus_CREATED :: ImageVersionStatus 
pattern ImageVersionStatus_CREATE_FAILED :: ImageVersionStatus 
pattern ImageVersionStatus_CREATING :: ImageVersionStatus 
pattern ImageVersionStatus_DELETE_FAILED :: ImageVersionStatus 
pattern ImageVersionStatus_DELETING :: ImageVersionStatus 

Instances

Instances details
FromJSON ImageVersionStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ImageVersionStatus

Methods

parseJSON :: Value -> Parser ImageVersionStatus #

parseJSONList :: Value -> Parser [ImageVersionStatus] #

FromJSONKey ImageVersionStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ImageVersionStatus

Methods

fromJSONKey :: FromJSONKeyFunction ImageVersionStatus #

fromJSONKeyList :: FromJSONKeyFunction [ImageVersionStatus] #

ToJSON ImageVersionStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ImageVersionStatus

Methods

toJSON :: ImageVersionStatus -> Value #

toEncoding :: ImageVersionStatus -> Encoding #

toJSONList :: [ImageVersionStatus] -> Value #

toEncodingList :: [ImageVersionStatus] -> Encoding #

ToJSONKey ImageVersionStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ImageVersionStatus

Methods

toJSONKey :: ToJSONKeyFunction ImageVersionStatus #

toJSONKeyList :: ToJSONKeyFunction [ImageVersionStatus] #

ToByteString ImageVersionStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ImageVersionStatus

Methods

toBS :: ImageVersionStatus -> ByteString #

ToHeader ImageVersionStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ImageVersionStatus

Methods

toHeader :: HeaderName -> ImageVersionStatus -> [Header] #

ToLog ImageVersionStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ImageVersionStatus

Methods

build :: ImageVersionStatus -> ByteStringBuilder #

ToQuery ImageVersionStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ImageVersionStatus

Methods

toQuery :: ImageVersionStatus -> QueryString #

FromText ImageVersionStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ImageVersionStatus

Methods

fromText :: Text -> Either String ImageVersionStatus #

ToText ImageVersionStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ImageVersionStatus

Methods

toText :: ImageVersionStatus -> Text #

FromXML ImageVersionStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ImageVersionStatus

Methods

parseXML :: [Node] -> Either String ImageVersionStatus #

ToXML ImageVersionStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ImageVersionStatus

Methods

toXML :: ImageVersionStatus -> XML #

Generic ImageVersionStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ImageVersionStatus

Associated Types

type Rep ImageVersionStatus :: Type -> Type #

Methods

from :: ImageVersionStatus -> Rep ImageVersionStatus x #

to :: Rep ImageVersionStatus x -> ImageVersionStatus #

Read ImageVersionStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ImageVersionStatus

Methods

readsPrec :: Int -> ReadS ImageVersionStatus #

readList :: ReadS [ImageVersionStatus] #

readPrec :: ReadPrec ImageVersionStatus #

readListPrec :: ReadPrec [ImageVersionStatus] #

Show ImageVersionStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ImageVersionStatus

Methods

showsPrec :: Int -> ImageVersionStatus -> ShowS #

show :: ImageVersionStatus -> String #

showList :: [ImageVersionStatus] -> ShowS #

NFData ImageVersionStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ImageVersionStatus

Methods

rnf :: ImageVersionStatus -> () #

Eq ImageVersionStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ImageVersionStatus

Methods

(==) :: ImageVersionStatus -> ImageVersionStatus -> Bool #

(/=) :: ImageVersionStatus -> ImageVersionStatus -> Bool #

Ord ImageVersionStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ImageVersionStatus

Methods

compare :: ImageVersionStatus -> ImageVersionStatus -> Ordering #

(<) :: ImageVersionStatus -> ImageVersionStatus -> Bool #

(<=) :: ImageVersionStatus -> ImageVersionStatus -> Bool #

(>) :: ImageVersionStatus -> ImageVersionStatus -> Bool #

(>=) :: ImageVersionStatus -> ImageVersionStatus -> Bool #

max :: ImageVersionStatus -> ImageVersionStatus -> ImageVersionStatus #

min :: ImageVersionStatus -> ImageVersionStatus -> ImageVersionStatus #

Hashable ImageVersionStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ImageVersionStatus

Methods

hashWithSalt :: Int -> ImageVersionStatus -> Int #

hash :: ImageVersionStatus -> Int #

type Rep ImageVersionStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ImageVersionStatus

type Rep ImageVersionStatus = D1 ('MetaData "ImageVersionStatus" "Amazonka.SageMaker.Types.ImageVersionStatus" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'True) (C1 ('MetaCons "ImageVersionStatus'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromImageVersionStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

InferenceExecutionMode

newtype InferenceExecutionMode Source #

Constructors

InferenceExecutionMode' 

Fields

Bundled Patterns

pattern InferenceExecutionMode_Direct :: InferenceExecutionMode 
pattern InferenceExecutionMode_Serial :: InferenceExecutionMode 

Instances

Instances details
FromJSON InferenceExecutionMode Source # 
Instance details

Defined in Amazonka.SageMaker.Types.InferenceExecutionMode

Methods

parseJSON :: Value -> Parser InferenceExecutionMode #

parseJSONList :: Value -> Parser [InferenceExecutionMode] #

FromJSONKey InferenceExecutionMode Source # 
Instance details

Defined in Amazonka.SageMaker.Types.InferenceExecutionMode

Methods

fromJSONKey :: FromJSONKeyFunction InferenceExecutionMode #

fromJSONKeyList :: FromJSONKeyFunction [InferenceExecutionMode] #

ToJSON InferenceExecutionMode Source # 
Instance details

Defined in Amazonka.SageMaker.Types.InferenceExecutionMode

Methods

toJSON :: InferenceExecutionMode -> Value #

toEncoding :: InferenceExecutionMode -> Encoding #

toJSONList :: [InferenceExecutionMode] -> Value #

toEncodingList :: [InferenceExecutionMode] -> Encoding #

ToJSONKey InferenceExecutionMode Source # 
Instance details

Defined in Amazonka.SageMaker.Types.InferenceExecutionMode

Methods

toJSONKey :: ToJSONKeyFunction InferenceExecutionMode #

toJSONKeyList :: ToJSONKeyFunction [InferenceExecutionMode] #

ToByteString InferenceExecutionMode Source # 
Instance details

Defined in Amazonka.SageMaker.Types.InferenceExecutionMode

Methods

toBS :: InferenceExecutionMode -> ByteString #

ToHeader InferenceExecutionMode Source # 
Instance details

Defined in Amazonka.SageMaker.Types.InferenceExecutionMode

Methods

toHeader :: HeaderName -> InferenceExecutionMode -> [Header] #

ToLog InferenceExecutionMode Source # 
Instance details

Defined in Amazonka.SageMaker.Types.InferenceExecutionMode

Methods

build :: InferenceExecutionMode -> ByteStringBuilder #

ToQuery InferenceExecutionMode Source # 
Instance details

Defined in Amazonka.SageMaker.Types.InferenceExecutionMode

Methods

toQuery :: InferenceExecutionMode -> QueryString #

FromText InferenceExecutionMode Source # 
Instance details

Defined in Amazonka.SageMaker.Types.InferenceExecutionMode

Methods

fromText :: Text -> Either String InferenceExecutionMode #

ToText InferenceExecutionMode Source # 
Instance details

Defined in Amazonka.SageMaker.Types.InferenceExecutionMode

Methods

toText :: InferenceExecutionMode -> Text #

FromXML InferenceExecutionMode Source # 
Instance details

Defined in Amazonka.SageMaker.Types.InferenceExecutionMode

Methods

parseXML :: [Node] -> Either String InferenceExecutionMode #

ToXML InferenceExecutionMode Source # 
Instance details

Defined in Amazonka.SageMaker.Types.InferenceExecutionMode

Methods

toXML :: InferenceExecutionMode -> XML #

Generic InferenceExecutionMode Source # 
Instance details

Defined in Amazonka.SageMaker.Types.InferenceExecutionMode

Associated Types

type Rep InferenceExecutionMode :: Type -> Type #

Methods

from :: InferenceExecutionMode -> Rep InferenceExecutionMode x #

to :: Rep InferenceExecutionMode x -> InferenceExecutionMode #

Read InferenceExecutionMode Source # 
Instance details

Defined in Amazonka.SageMaker.Types.InferenceExecutionMode

Methods

readsPrec :: Int -> ReadS InferenceExecutionMode #

readList :: ReadS [InferenceExecutionMode] #

readPrec :: ReadPrec InferenceExecutionMode #

readListPrec :: ReadPrec [InferenceExecutionMode] #

Show InferenceExecutionMode Source # 
Instance details

Defined in Amazonka.SageMaker.Types.InferenceExecutionMode

Methods

showsPrec :: Int -> InferenceExecutionMode -> ShowS #

show :: InferenceExecutionMode -> String #

showList :: [InferenceExecutionMode] -> ShowS #

NFData InferenceExecutionMode Source # 
Instance details

Defined in Amazonka.SageMaker.Types.InferenceExecutionMode

Methods

rnf :: InferenceExecutionMode -> () #

Eq InferenceExecutionMode Source # 
Instance details

Defined in Amazonka.SageMaker.Types.InferenceExecutionMode

Methods

(==) :: InferenceExecutionMode -> InferenceExecutionMode -> Bool #

(/=) :: InferenceExecutionMode -> InferenceExecutionMode -> Bool #

Ord InferenceExecutionMode Source # 
Instance details

Defined in Amazonka.SageMaker.Types.InferenceExecutionMode

Methods

compare :: InferenceExecutionMode -> InferenceExecutionMode -> Ordering #

(<) :: InferenceExecutionMode -> InferenceExecutionMode -> Bool #

(<=) :: InferenceExecutionMode -> InferenceExecutionMode -> Bool #

(>) :: InferenceExecutionMode -> InferenceExecutionMode -> Bool #

(>=) :: InferenceExecutionMode -> InferenceExecutionMode -> Bool #

max :: InferenceExecutionMode -> InferenceExecutionMode -> InferenceExecutionMode #

min :: InferenceExecutionMode -> InferenceExecutionMode -> InferenceExecutionMode #

Hashable InferenceExecutionMode Source # 
Instance details

Defined in Amazonka.SageMaker.Types.InferenceExecutionMode

Methods

hashWithSalt :: Int -> InferenceExecutionMode -> Int #

hash :: InferenceExecutionMode -> Int #

type Rep InferenceExecutionMode Source # 
Instance details

Defined in Amazonka.SageMaker.Types.InferenceExecutionMode

type Rep InferenceExecutionMode = D1 ('MetaData "InferenceExecutionMode" "Amazonka.SageMaker.Types.InferenceExecutionMode" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'True) (C1 ('MetaCons "InferenceExecutionMode'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromInferenceExecutionMode") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

InferenceExperimentStatus

newtype InferenceExperimentStatus Source #

Constructors

InferenceExperimentStatus' 

Fields

Bundled Patterns

pattern InferenceExperimentStatus_Cancelled :: InferenceExperimentStatus 
pattern InferenceExperimentStatus_Completed :: InferenceExperimentStatus 
pattern InferenceExperimentStatus_Created :: InferenceExperimentStatus 
pattern InferenceExperimentStatus_Creating :: InferenceExperimentStatus 
pattern InferenceExperimentStatus_Running :: InferenceExperimentStatus 
pattern InferenceExperimentStatus_Starting :: InferenceExperimentStatus 
pattern InferenceExperimentStatus_Stopping :: InferenceExperimentStatus 
pattern InferenceExperimentStatus_Updating :: InferenceExperimentStatus 

Instances

Instances details
FromJSON InferenceExperimentStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.InferenceExperimentStatus

Methods

parseJSON :: Value -> Parser InferenceExperimentStatus #

parseJSONList :: Value -> Parser [InferenceExperimentStatus] #

FromJSONKey InferenceExperimentStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.InferenceExperimentStatus

Methods

fromJSONKey :: FromJSONKeyFunction InferenceExperimentStatus #

fromJSONKeyList :: FromJSONKeyFunction [InferenceExperimentStatus] #

ToJSON InferenceExperimentStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.InferenceExperimentStatus

Methods

toJSON :: InferenceExperimentStatus -> Value #

toEncoding :: InferenceExperimentStatus -> Encoding #

toJSONList :: [InferenceExperimentStatus] -> Value #

toEncodingList :: [InferenceExperimentStatus] -> Encoding #

ToJSONKey InferenceExperimentStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.InferenceExperimentStatus

Methods

toJSONKey :: ToJSONKeyFunction InferenceExperimentStatus #

toJSONKeyList :: ToJSONKeyFunction [InferenceExperimentStatus] #

ToByteString InferenceExperimentStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.InferenceExperimentStatus

Methods

toBS :: InferenceExperimentStatus -> ByteString #

ToHeader InferenceExperimentStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.InferenceExperimentStatus

Methods

toHeader :: HeaderName -> InferenceExperimentStatus -> [Header] #

ToLog InferenceExperimentStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.InferenceExperimentStatus

Methods

build :: InferenceExperimentStatus -> ByteStringBuilder #

ToQuery InferenceExperimentStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.InferenceExperimentStatus

Methods

toQuery :: InferenceExperimentStatus -> QueryString #

FromText InferenceExperimentStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.InferenceExperimentStatus

Methods

fromText :: Text -> Either String InferenceExperimentStatus #

ToText InferenceExperimentStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.InferenceExperimentStatus

Methods

toText :: InferenceExperimentStatus -> Text #

FromXML InferenceExperimentStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.InferenceExperimentStatus

Methods

parseXML :: [Node] -> Either String InferenceExperimentStatus #

ToXML InferenceExperimentStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.InferenceExperimentStatus

Methods

toXML :: InferenceExperimentStatus -> XML #

Generic InferenceExperimentStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.InferenceExperimentStatus

Associated Types

type Rep InferenceExperimentStatus :: Type -> Type #

Methods

from :: InferenceExperimentStatus -> Rep InferenceExperimentStatus x #

to :: Rep InferenceExperimentStatus x -> InferenceExperimentStatus #

Read InferenceExperimentStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.InferenceExperimentStatus

Methods

readsPrec :: Int -> ReadS InferenceExperimentStatus #

readList :: ReadS [InferenceExperimentStatus] #

readPrec :: ReadPrec InferenceExperimentStatus #

readListPrec :: ReadPrec [InferenceExperimentStatus] #

Show InferenceExperimentStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.InferenceExperimentStatus

Methods

showsPrec :: Int -> InferenceExperimentStatus -> ShowS #

show :: InferenceExperimentStatus -> String #

showList :: [InferenceExperimentStatus] -> ShowS #

NFData InferenceExperimentStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.InferenceExperimentStatus

Methods

rnf :: InferenceExperimentStatus -> () #

Eq InferenceExperimentStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.InferenceExperimentStatus

Methods

(==) :: InferenceExperimentStatus -> InferenceExperimentStatus -> Bool #

(/=) :: InferenceExperimentStatus -> InferenceExperimentStatus -> Bool #

Ord InferenceExperimentStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.InferenceExperimentStatus

Methods

compare :: InferenceExperimentStatus -> InferenceExperimentStatus -> Ordering #

(<) :: InferenceExperimentStatus -> InferenceExperimentStatus -> Bool #

(<=) :: InferenceExperimentStatus -> InferenceExperimentStatus -> Bool #

(>) :: InferenceExperimentStatus -> InferenceExperimentStatus -> Bool #

(>=) :: InferenceExperimentStatus -> InferenceExperimentStatus -> Bool #

max :: InferenceExperimentStatus -> InferenceExperimentStatus -> InferenceExperimentStatus #

min :: InferenceExperimentStatus -> InferenceExperimentStatus -> InferenceExperimentStatus #

Hashable InferenceExperimentStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.InferenceExperimentStatus

Methods

hashWithSalt :: Int -> InferenceExperimentStatus -> Int #

hash :: InferenceExperimentStatus -> Int #

type Rep InferenceExperimentStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.InferenceExperimentStatus

type Rep InferenceExperimentStatus = D1 ('MetaData "InferenceExperimentStatus" "Amazonka.SageMaker.Types.InferenceExperimentStatus" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'True) (C1 ('MetaCons "InferenceExperimentStatus'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromInferenceExperimentStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

InferenceExperimentStopDesiredState

newtype InferenceExperimentStopDesiredState Source #

Constructors

InferenceExperimentStopDesiredState' 

Fields

Bundled Patterns

pattern InferenceExperimentStopDesiredState_Cancelled :: InferenceExperimentStopDesiredState 
pattern InferenceExperimentStopDesiredState_Completed :: InferenceExperimentStopDesiredState 

Instances

Instances details
FromJSON InferenceExperimentStopDesiredState Source # 
Instance details

Defined in Amazonka.SageMaker.Types.InferenceExperimentStopDesiredState

Methods

parseJSON :: Value -> Parser InferenceExperimentStopDesiredState #

parseJSONList :: Value -> Parser [InferenceExperimentStopDesiredState] #

FromJSONKey InferenceExperimentStopDesiredState Source # 
Instance details

Defined in Amazonka.SageMaker.Types.InferenceExperimentStopDesiredState

Methods

fromJSONKey :: FromJSONKeyFunction InferenceExperimentStopDesiredState #

fromJSONKeyList :: FromJSONKeyFunction [InferenceExperimentStopDesiredState] #

ToJSON InferenceExperimentStopDesiredState Source # 
Instance details

Defined in Amazonka.SageMaker.Types.InferenceExperimentStopDesiredState

Methods

toJSON :: InferenceExperimentStopDesiredState -> Value #

toEncoding :: InferenceExperimentStopDesiredState -> Encoding #

toJSONList :: [InferenceExperimentStopDesiredState] -> Value #

toEncodingList :: [InferenceExperimentStopDesiredState] -> Encoding #

ToJSONKey InferenceExperimentStopDesiredState Source # 
Instance details

Defined in Amazonka.SageMaker.Types.InferenceExperimentStopDesiredState

Methods

toJSONKey :: ToJSONKeyFunction InferenceExperimentStopDesiredState #

toJSONKeyList :: ToJSONKeyFunction [InferenceExperimentStopDesiredState] #

ToByteString InferenceExperimentStopDesiredState Source # 
Instance details

Defined in Amazonka.SageMaker.Types.InferenceExperimentStopDesiredState

Methods

toBS :: InferenceExperimentStopDesiredState -> ByteString #

ToHeader InferenceExperimentStopDesiredState Source # 
Instance details

Defined in Amazonka.SageMaker.Types.InferenceExperimentStopDesiredState

Methods

toHeader :: HeaderName -> InferenceExperimentStopDesiredState -> [Header] #

ToLog InferenceExperimentStopDesiredState Source # 
Instance details

Defined in Amazonka.SageMaker.Types.InferenceExperimentStopDesiredState

Methods

build :: InferenceExperimentStopDesiredState -> ByteStringBuilder #

ToQuery InferenceExperimentStopDesiredState Source # 
Instance details

Defined in Amazonka.SageMaker.Types.InferenceExperimentStopDesiredState

Methods

toQuery :: InferenceExperimentStopDesiredState -> QueryString #

FromText InferenceExperimentStopDesiredState Source # 
Instance details

Defined in Amazonka.SageMaker.Types.InferenceExperimentStopDesiredState

Methods

fromText :: Text -> Either String InferenceExperimentStopDesiredState #

ToText InferenceExperimentStopDesiredState Source # 
Instance details

Defined in Amazonka.SageMaker.Types.InferenceExperimentStopDesiredState

Methods

toText :: InferenceExperimentStopDesiredState -> Text #

FromXML InferenceExperimentStopDesiredState Source # 
Instance details

Defined in Amazonka.SageMaker.Types.InferenceExperimentStopDesiredState

Methods

parseXML :: [Node] -> Either String InferenceExperimentStopDesiredState #

ToXML InferenceExperimentStopDesiredState Source # 
Instance details

Defined in Amazonka.SageMaker.Types.InferenceExperimentStopDesiredState

Methods

toXML :: InferenceExperimentStopDesiredState -> XML #

Generic InferenceExperimentStopDesiredState Source # 
Instance details

Defined in Amazonka.SageMaker.Types.InferenceExperimentStopDesiredState

Associated Types

type Rep InferenceExperimentStopDesiredState :: Type -> Type #

Methods

from :: InferenceExperimentStopDesiredState -> Rep InferenceExperimentStopDesiredState x #

to :: Rep InferenceExperimentStopDesiredState x -> InferenceExperimentStopDesiredState #

Read InferenceExperimentStopDesiredState Source # 
Instance details

Defined in Amazonka.SageMaker.Types.InferenceExperimentStopDesiredState

Methods

readsPrec :: Int -> ReadS InferenceExperimentStopDesiredState #

readList :: ReadS [InferenceExperimentStopDesiredState] #

readPrec :: ReadPrec InferenceExperimentStopDesiredState #

readListPrec :: ReadPrec [InferenceExperimentStopDesiredState] #

Show InferenceExperimentStopDesiredState Source # 
Instance details

Defined in Amazonka.SageMaker.Types.InferenceExperimentStopDesiredState

Methods

showsPrec :: Int -> InferenceExperimentStopDesiredState -> ShowS #

show :: InferenceExperimentStopDesiredState -> String #

showList :: [InferenceExperimentStopDesiredState] -> ShowS #

NFData InferenceExperimentStopDesiredState Source # 
Instance details

Defined in Amazonka.SageMaker.Types.InferenceExperimentStopDesiredState

Methods

rnf :: InferenceExperimentStopDesiredState -> () #

Eq InferenceExperimentStopDesiredState Source # 
Instance details

Defined in Amazonka.SageMaker.Types.InferenceExperimentStopDesiredState

Methods

(==) :: InferenceExperimentStopDesiredState -> InferenceExperimentStopDesiredState -> Bool #

(/=) :: InferenceExperimentStopDesiredState -> InferenceExperimentStopDesiredState -> Bool #

Ord InferenceExperimentStopDesiredState Source # 
Instance details

Defined in Amazonka.SageMaker.Types.InferenceExperimentStopDesiredState

Methods

compare :: InferenceExperimentStopDesiredState -> InferenceExperimentStopDesiredState -> Ordering #

(<) :: InferenceExperimentStopDesiredState -> InferenceExperimentStopDesiredState -> Bool #

(<=) :: InferenceExperimentStopDesiredState -> InferenceExperimentStopDesiredState -> Bool #

(>) :: InferenceExperimentStopDesiredState -> InferenceExperimentStopDesiredState -> Bool #

(>=) :: InferenceExperimentStopDesiredState -> InferenceExperimentStopDesiredState -> Bool #

max :: InferenceExperimentStopDesiredState -> InferenceExperimentStopDesiredState -> InferenceExperimentStopDesiredState #

min :: InferenceExperimentStopDesiredState -> InferenceExperimentStopDesiredState -> InferenceExperimentStopDesiredState #

Hashable InferenceExperimentStopDesiredState Source # 
Instance details

Defined in Amazonka.SageMaker.Types.InferenceExperimentStopDesiredState

Methods

hashWithSalt :: Int -> InferenceExperimentStopDesiredState -> Int #

hash :: InferenceExperimentStopDesiredState -> Int #

type Rep InferenceExperimentStopDesiredState Source # 
Instance details

Defined in Amazonka.SageMaker.Types.InferenceExperimentStopDesiredState

type Rep InferenceExperimentStopDesiredState = D1 ('MetaData "InferenceExperimentStopDesiredState" "Amazonka.SageMaker.Types.InferenceExperimentStopDesiredState" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'True) (C1 ('MetaCons "InferenceExperimentStopDesiredState'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromInferenceExperimentStopDesiredState") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

InferenceExperimentType

newtype InferenceExperimentType Source #

Constructors

InferenceExperimentType' 

Fields

Bundled Patterns

pattern InferenceExperimentType_ShadowMode :: InferenceExperimentType 

Instances

Instances details
FromJSON InferenceExperimentType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.InferenceExperimentType

Methods

parseJSON :: Value -> Parser InferenceExperimentType #

parseJSONList :: Value -> Parser [InferenceExperimentType] #

FromJSONKey InferenceExperimentType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.InferenceExperimentType

Methods

fromJSONKey :: FromJSONKeyFunction InferenceExperimentType #

fromJSONKeyList :: FromJSONKeyFunction [InferenceExperimentType] #

ToJSON InferenceExperimentType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.InferenceExperimentType

Methods

toJSON :: InferenceExperimentType -> Value #

toEncoding :: InferenceExperimentType -> Encoding #

toJSONList :: [InferenceExperimentType] -> Value #

toEncodingList :: [InferenceExperimentType] -> Encoding #

ToJSONKey InferenceExperimentType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.InferenceExperimentType

Methods

toJSONKey :: ToJSONKeyFunction InferenceExperimentType #

toJSONKeyList :: ToJSONKeyFunction [InferenceExperimentType] #

ToByteString InferenceExperimentType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.InferenceExperimentType

Methods

toBS :: InferenceExperimentType -> ByteString #

ToHeader InferenceExperimentType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.InferenceExperimentType

Methods

toHeader :: HeaderName -> InferenceExperimentType -> [Header] #

ToLog InferenceExperimentType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.InferenceExperimentType

Methods

build :: InferenceExperimentType -> ByteStringBuilder #

ToQuery InferenceExperimentType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.InferenceExperimentType

Methods

toQuery :: InferenceExperimentType -> QueryString #

FromText InferenceExperimentType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.InferenceExperimentType

Methods

fromText :: Text -> Either String InferenceExperimentType #

ToText InferenceExperimentType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.InferenceExperimentType

Methods

toText :: InferenceExperimentType -> Text #

FromXML InferenceExperimentType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.InferenceExperimentType

Methods

parseXML :: [Node] -> Either String InferenceExperimentType #

ToXML InferenceExperimentType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.InferenceExperimentType

Methods

toXML :: InferenceExperimentType -> XML #

Generic InferenceExperimentType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.InferenceExperimentType

Associated Types

type Rep InferenceExperimentType :: Type -> Type #

Methods

from :: InferenceExperimentType -> Rep InferenceExperimentType x #

to :: Rep InferenceExperimentType x -> InferenceExperimentType #

Read InferenceExperimentType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.InferenceExperimentType

Methods

readsPrec :: Int -> ReadS InferenceExperimentType #

readList :: ReadS [InferenceExperimentType] #

readPrec :: ReadPrec InferenceExperimentType #

readListPrec :: ReadPrec [InferenceExperimentType] #

Show InferenceExperimentType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.InferenceExperimentType

Methods

showsPrec :: Int -> InferenceExperimentType -> ShowS #

show :: InferenceExperimentType -> String #

showList :: [InferenceExperimentType] -> ShowS #

NFData InferenceExperimentType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.InferenceExperimentType

Methods

rnf :: InferenceExperimentType -> () #

Eq InferenceExperimentType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.InferenceExperimentType

Methods

(==) :: InferenceExperimentType -> InferenceExperimentType -> Bool #

(/=) :: InferenceExperimentType -> InferenceExperimentType -> Bool #

Ord InferenceExperimentType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.InferenceExperimentType

Methods

compare :: InferenceExperimentType -> InferenceExperimentType -> Ordering #

(<) :: InferenceExperimentType -> InferenceExperimentType -> Bool #

(<=) :: InferenceExperimentType -> InferenceExperimentType -> Bool #

(>) :: InferenceExperimentType -> InferenceExperimentType -> Bool #

(>=) :: InferenceExperimentType -> InferenceExperimentType -> Bool #

max :: InferenceExperimentType -> InferenceExperimentType -> InferenceExperimentType #

min :: InferenceExperimentType -> InferenceExperimentType -> InferenceExperimentType #

Hashable InferenceExperimentType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.InferenceExperimentType

Methods

hashWithSalt :: Int -> InferenceExperimentType -> Int #

hash :: InferenceExperimentType -> Int #

type Rep InferenceExperimentType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.InferenceExperimentType

type Rep InferenceExperimentType = D1 ('MetaData "InferenceExperimentType" "Amazonka.SageMaker.Types.InferenceExperimentType" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'True) (C1 ('MetaCons "InferenceExperimentType'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromInferenceExperimentType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

InputMode

newtype InputMode Source #

Constructors

InputMode' 

Fields

Bundled Patterns

pattern InputMode_File :: InputMode 
pattern InputMode_Pipe :: InputMode 

Instances

Instances details
FromJSON InputMode Source # 
Instance details

Defined in Amazonka.SageMaker.Types.InputMode

Methods

parseJSON :: Value -> Parser InputMode #

parseJSONList :: Value -> Parser [InputMode] #

FromJSONKey InputMode Source # 
Instance details

Defined in Amazonka.SageMaker.Types.InputMode

Methods

fromJSONKey :: FromJSONKeyFunction InputMode #

fromJSONKeyList :: FromJSONKeyFunction [InputMode] #

ToJSON InputMode Source # 
Instance details

Defined in Amazonka.SageMaker.Types.InputMode

Methods

toJSON :: InputMode -> Value #

toEncoding :: InputMode -> Encoding #

toJSONList :: [InputMode] -> Value #

toEncodingList :: [InputMode] -> Encoding #

ToJSONKey InputMode Source # 
Instance details

Defined in Amazonka.SageMaker.Types.InputMode

Methods

toJSONKey :: ToJSONKeyFunction InputMode #

toJSONKeyList :: ToJSONKeyFunction [InputMode] #

ToByteString InputMode Source # 
Instance details

Defined in Amazonka.SageMaker.Types.InputMode

Methods

toBS :: InputMode -> ByteString #

ToHeader InputMode Source # 
Instance details

Defined in Amazonka.SageMaker.Types.InputMode

Methods

toHeader :: HeaderName -> InputMode -> [Header] #

ToLog InputMode Source # 
Instance details

Defined in Amazonka.SageMaker.Types.InputMode

Methods

build :: InputMode -> ByteStringBuilder #

ToQuery InputMode Source # 
Instance details

Defined in Amazonka.SageMaker.Types.InputMode

Methods

toQuery :: InputMode -> QueryString #

FromText InputMode Source # 
Instance details

Defined in Amazonka.SageMaker.Types.InputMode

Methods

fromText :: Text -> Either String InputMode #

ToText InputMode Source # 
Instance details

Defined in Amazonka.SageMaker.Types.InputMode

Methods

toText :: InputMode -> Text #

FromXML InputMode Source # 
Instance details

Defined in Amazonka.SageMaker.Types.InputMode

Methods

parseXML :: [Node] -> Either String InputMode #

ToXML InputMode Source # 
Instance details

Defined in Amazonka.SageMaker.Types.InputMode

Methods

toXML :: InputMode -> XML #

Generic InputMode Source # 
Instance details

Defined in Amazonka.SageMaker.Types.InputMode

Associated Types

type Rep InputMode :: Type -> Type #

Methods

from :: InputMode -> Rep InputMode x #

to :: Rep InputMode x -> InputMode #

Read InputMode Source # 
Instance details

Defined in Amazonka.SageMaker.Types.InputMode

Methods

readsPrec :: Int -> ReadS InputMode #

readList :: ReadS [InputMode] #

readPrec :: ReadPrec InputMode #

readListPrec :: ReadPrec [InputMode] #

Show InputMode Source # 
Instance details

Defined in Amazonka.SageMaker.Types.InputMode

Methods

showsPrec :: Int -> InputMode -> ShowS #

show :: InputMode -> String #

showList :: [InputMode] -> ShowS #

NFData InputMode Source # 
Instance details

Defined in Amazonka.SageMaker.Types.InputMode

Methods

rnf :: InputMode -> () #

Eq InputMode Source # 
Instance details

Defined in Amazonka.SageMaker.Types.InputMode

Methods

(==) :: InputMode -> InputMode -> Bool #

(/=) :: InputMode -> InputMode -> Bool #

Ord InputMode Source # 
Instance details

Defined in Amazonka.SageMaker.Types.InputMode

Methods

compare :: InputMode -> InputMode -> Ordering #

(<) :: InputMode -> InputMode -> Bool #

(<=) :: InputMode -> InputMode -> Bool #

(>) :: InputMode -> InputMode -> Bool #

(>=) :: InputMode -> InputMode -> Bool #

max :: InputMode -> InputMode -> InputMode #

min :: InputMode -> InputMode -> InputMode #

Hashable InputMode Source # 
Instance details

Defined in Amazonka.SageMaker.Types.InputMode

Methods

hashWithSalt :: Int -> InputMode -> Int #

hash :: InputMode -> Int #

type Rep InputMode Source # 
Instance details

Defined in Amazonka.SageMaker.Types.InputMode

type Rep InputMode = D1 ('MetaData "InputMode" "Amazonka.SageMaker.Types.InputMode" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'True) (C1 ('MetaCons "InputMode'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromInputMode") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

InstanceType

newtype InstanceType Source #

Constructors

InstanceType' 

Fields

Bundled Patterns

pattern InstanceType_Ml_c4_2xlarge :: InstanceType 
pattern InstanceType_Ml_c4_4xlarge :: InstanceType 
pattern InstanceType_Ml_c4_8xlarge :: InstanceType 
pattern InstanceType_Ml_c4_xlarge :: InstanceType 
pattern InstanceType_Ml_c5_18xlarge :: InstanceType 
pattern InstanceType_Ml_c5_2xlarge :: InstanceType 
pattern InstanceType_Ml_c5_4xlarge :: InstanceType 
pattern InstanceType_Ml_c5_9xlarge :: InstanceType 
pattern InstanceType_Ml_c5_xlarge :: InstanceType 
pattern InstanceType_Ml_c5d_18xlarge :: InstanceType 
pattern InstanceType_Ml_c5d_2xlarge :: InstanceType 
pattern InstanceType_Ml_c5d_4xlarge :: InstanceType 
pattern InstanceType_Ml_c5d_9xlarge :: InstanceType 
pattern InstanceType_Ml_c5d_xlarge :: InstanceType 
pattern InstanceType_Ml_g4dn_12xlarge :: InstanceType 
pattern InstanceType_Ml_g4dn_16xlarge :: InstanceType 
pattern InstanceType_Ml_g4dn_2xlarge :: InstanceType 
pattern InstanceType_Ml_g4dn_4xlarge :: InstanceType 
pattern InstanceType_Ml_g4dn_8xlarge :: InstanceType 
pattern InstanceType_Ml_g4dn_xlarge :: InstanceType 
pattern InstanceType_Ml_g5_12xlarge :: InstanceType 
pattern InstanceType_Ml_g5_16xlarge :: InstanceType 
pattern InstanceType_Ml_g5_24xlarge :: InstanceType 
pattern InstanceType_Ml_g5_2xlarge :: InstanceType 
pattern InstanceType_Ml_g5_48xlarge :: InstanceType 
pattern InstanceType_Ml_g5_4xlarge :: InstanceType 
pattern InstanceType_Ml_g5_8xlarge :: InstanceType 
pattern InstanceType_Ml_g5_xlarge :: InstanceType 
pattern InstanceType_Ml_m4_10xlarge :: InstanceType 
pattern InstanceType_Ml_m4_16xlarge :: InstanceType 
pattern InstanceType_Ml_m4_2xlarge :: InstanceType 
pattern InstanceType_Ml_m4_4xlarge :: InstanceType 
pattern InstanceType_Ml_m4_xlarge :: InstanceType 
pattern InstanceType_Ml_m5_12xlarge :: InstanceType 
pattern InstanceType_Ml_m5_24xlarge :: InstanceType 
pattern InstanceType_Ml_m5_2xlarge :: InstanceType 
pattern InstanceType_Ml_m5_4xlarge :: InstanceType 
pattern InstanceType_Ml_m5_xlarge :: InstanceType 
pattern InstanceType_Ml_m5d_12xlarge :: InstanceType 
pattern InstanceType_Ml_m5d_16xlarge :: InstanceType 
pattern InstanceType_Ml_m5d_24xlarge :: InstanceType 
pattern InstanceType_Ml_m5d_2xlarge :: InstanceType 
pattern InstanceType_Ml_m5d_4xlarge :: InstanceType 
pattern InstanceType_Ml_m5d_8xlarge :: InstanceType 
pattern InstanceType_Ml_m5d_large :: InstanceType 
pattern InstanceType_Ml_m5d_xlarge :: InstanceType 
pattern InstanceType_Ml_p2_16xlarge :: InstanceType 
pattern InstanceType_Ml_p2_8xlarge :: InstanceType 
pattern InstanceType_Ml_p2_xlarge :: InstanceType 
pattern InstanceType_Ml_p3_16xlarge :: InstanceType 
pattern InstanceType_Ml_p3_2xlarge :: InstanceType 
pattern InstanceType_Ml_p3_8xlarge :: InstanceType 
pattern InstanceType_Ml_p3dn_24xlarge :: InstanceType 
pattern InstanceType_Ml_r5_12xlarge :: InstanceType 
pattern InstanceType_Ml_r5_16xlarge :: InstanceType 
pattern InstanceType_Ml_r5_24xlarge :: InstanceType 
pattern InstanceType_Ml_r5_2xlarge :: InstanceType 
pattern InstanceType_Ml_r5_4xlarge :: InstanceType 
pattern InstanceType_Ml_r5_8xlarge :: InstanceType 
pattern InstanceType_Ml_r5_large :: InstanceType 
pattern InstanceType_Ml_r5_xlarge :: InstanceType 
pattern InstanceType_Ml_t2_2xlarge :: InstanceType 
pattern InstanceType_Ml_t2_large :: InstanceType 
pattern InstanceType_Ml_t2_medium :: InstanceType 
pattern InstanceType_Ml_t2_xlarge :: InstanceType 
pattern InstanceType_Ml_t3_2xlarge :: InstanceType 
pattern InstanceType_Ml_t3_large :: InstanceType 
pattern InstanceType_Ml_t3_medium :: InstanceType 
pattern InstanceType_Ml_t3_xlarge :: InstanceType 

Instances

Instances details
FromJSON InstanceType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.InstanceType

Methods

parseJSON :: Value -> Parser InstanceType #

parseJSONList :: Value -> Parser [InstanceType] #

FromJSONKey InstanceType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.InstanceType

Methods

fromJSONKey :: FromJSONKeyFunction InstanceType #

fromJSONKeyList :: FromJSONKeyFunction [InstanceType] #

ToJSON InstanceType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.InstanceType

Methods

toJSON :: InstanceType -> Value #

toEncoding :: InstanceType -> Encoding #

toJSONList :: [InstanceType] -> Value #

toEncodingList :: [InstanceType] -> Encoding #

ToJSONKey InstanceType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.InstanceType

Methods

toJSONKey :: ToJSONKeyFunction InstanceType #

toJSONKeyList :: ToJSONKeyFunction [InstanceType] #

ToByteString InstanceType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.InstanceType

Methods

toBS :: InstanceType -> ByteString #

ToHeader InstanceType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.InstanceType

Methods

toHeader :: HeaderName -> InstanceType -> [Header] #

ToLog InstanceType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.InstanceType

Methods

build :: InstanceType -> ByteStringBuilder #

ToQuery InstanceType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.InstanceType

Methods

toQuery :: InstanceType -> QueryString #

FromText InstanceType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.InstanceType

Methods

fromText :: Text -> Either String InstanceType #

ToText InstanceType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.InstanceType

Methods

toText :: InstanceType -> Text #

FromXML InstanceType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.InstanceType

Methods

parseXML :: [Node] -> Either String InstanceType #

ToXML InstanceType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.InstanceType

Methods

toXML :: InstanceType -> XML #

Generic InstanceType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.InstanceType

Associated Types

type Rep InstanceType :: Type -> Type #

Methods

from :: InstanceType -> Rep InstanceType x #

to :: Rep InstanceType x -> InstanceType #

Read InstanceType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.InstanceType

Methods

readsPrec :: Int -> ReadS InstanceType #

readList :: ReadS [InstanceType] #

readPrec :: ReadPrec InstanceType #

readListPrec :: ReadPrec [InstanceType] #

Show InstanceType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.InstanceType

Methods

showsPrec :: Int -> InstanceType -> ShowS #

show :: InstanceType -> String #

showList :: [InstanceType] -> ShowS #

NFData InstanceType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.InstanceType

Methods

rnf :: InstanceType -> () #

Eq InstanceType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.InstanceType

Methods

(==) :: InstanceType -> InstanceType -> Bool #

(/=) :: InstanceType -> InstanceType -> Bool #

Ord InstanceType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.InstanceType

Methods

compare :: InstanceType -> InstanceType -> Ordering #

(<) :: InstanceType -> InstanceType -> Bool #

(<=) :: InstanceType -> InstanceType -> Bool #

(>) :: InstanceType -> InstanceType -> Bool #

(>=) :: InstanceType -> InstanceType -> Bool #

max :: InstanceType -> InstanceType -> InstanceType #

min :: InstanceType -> InstanceType -> InstanceType #

Hashable InstanceType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.InstanceType

Methods

hashWithSalt :: Int -> InstanceType -> Int #

hash :: InstanceType -> Int #

type Rep InstanceType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.InstanceType

type Rep InstanceType = D1 ('MetaData "InstanceType" "Amazonka.SageMaker.Types.InstanceType" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'True) (C1 ('MetaCons "InstanceType'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromInstanceType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

JobType

newtype JobType Source #

Constructors

JobType' 

Fields

Bundled Patterns

pattern JobType_INFERENCE :: JobType 
pattern JobType_NOTEBOOK_KERNEL :: JobType 
pattern JobType_TRAINING :: JobType 

Instances

Instances details
FromJSON JobType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.JobType

Methods

parseJSON :: Value -> Parser JobType #

parseJSONList :: Value -> Parser [JobType] #

FromJSONKey JobType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.JobType

Methods

fromJSONKey :: FromJSONKeyFunction JobType #

fromJSONKeyList :: FromJSONKeyFunction [JobType] #

ToJSON JobType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.JobType

Methods

toJSON :: JobType -> Value #

toEncoding :: JobType -> Encoding #

toJSONList :: [JobType] -> Value #

toEncodingList :: [JobType] -> Encoding #

ToJSONKey JobType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.JobType

Methods

toJSONKey :: ToJSONKeyFunction JobType #

toJSONKeyList :: ToJSONKeyFunction [JobType] #

ToByteString JobType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.JobType

Methods

toBS :: JobType -> ByteString #

ToHeader JobType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.JobType

Methods

toHeader :: HeaderName -> JobType -> [Header] #

ToLog JobType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.JobType

Methods

build :: JobType -> ByteStringBuilder #

ToQuery JobType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.JobType

Methods

toQuery :: JobType -> QueryString #

FromText JobType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.JobType

Methods

fromText :: Text -> Either String JobType #

ToText JobType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.JobType

Methods

toText :: JobType -> Text #

FromXML JobType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.JobType

Methods

parseXML :: [Node] -> Either String JobType #

ToXML JobType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.JobType

Methods

toXML :: JobType -> XML #

Generic JobType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.JobType

Associated Types

type Rep JobType :: Type -> Type #

Methods

from :: JobType -> Rep JobType x #

to :: Rep JobType x -> JobType #

Read JobType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.JobType

Methods

readsPrec :: Int -> ReadS JobType #

readList :: ReadS [JobType] #

readPrec :: ReadPrec JobType #

readListPrec :: ReadPrec [JobType] #

Show JobType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.JobType

Methods

showsPrec :: Int -> JobType -> ShowS #

show :: JobType -> String #

showList :: [JobType] -> ShowS #

NFData JobType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.JobType

Methods

rnf :: JobType -> () #

Eq JobType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.JobType

Methods

(==) :: JobType -> JobType -> Bool #

(/=) :: JobType -> JobType -> Bool #

Ord JobType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.JobType

Methods

compare :: JobType -> JobType -> Ordering #

(<) :: JobType -> JobType -> Bool #

(<=) :: JobType -> JobType -> Bool #

(>) :: JobType -> JobType -> Bool #

(>=) :: JobType -> JobType -> Bool #

max :: JobType -> JobType -> JobType #

min :: JobType -> JobType -> JobType #

Hashable JobType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.JobType

Methods

hashWithSalt :: Int -> JobType -> Int #

hash :: JobType -> Int #

type Rep JobType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.JobType

type Rep JobType = D1 ('MetaData "JobType" "Amazonka.SageMaker.Types.JobType" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'True) (C1 ('MetaCons "JobType'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromJobType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

JoinSource

newtype JoinSource Source #

Constructors

JoinSource' 

Fields

Bundled Patterns

pattern JoinSource_Input :: JoinSource 
pattern JoinSource_None :: JoinSource 

Instances

Instances details
FromJSON JoinSource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.JoinSource

Methods

parseJSON :: Value -> Parser JoinSource #

parseJSONList :: Value -> Parser [JoinSource] #

FromJSONKey JoinSource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.JoinSource

Methods

fromJSONKey :: FromJSONKeyFunction JoinSource #

fromJSONKeyList :: FromJSONKeyFunction [JoinSource] #

ToJSON JoinSource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.JoinSource

Methods

toJSON :: JoinSource -> Value #

toEncoding :: JoinSource -> Encoding #

toJSONList :: [JoinSource] -> Value #

toEncodingList :: [JoinSource] -> Encoding #

ToJSONKey JoinSource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.JoinSource

Methods

toJSONKey :: ToJSONKeyFunction JoinSource #

toJSONKeyList :: ToJSONKeyFunction [JoinSource] #

ToByteString JoinSource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.JoinSource

Methods

toBS :: JoinSource -> ByteString #

ToHeader JoinSource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.JoinSource

Methods

toHeader :: HeaderName -> JoinSource -> [Header] #

ToLog JoinSource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.JoinSource

Methods

build :: JoinSource -> ByteStringBuilder #

ToQuery JoinSource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.JoinSource

Methods

toQuery :: JoinSource -> QueryString #

FromText JoinSource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.JoinSource

Methods

fromText :: Text -> Either String JoinSource #

ToText JoinSource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.JoinSource

Methods

toText :: JoinSource -> Text #

FromXML JoinSource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.JoinSource

Methods

parseXML :: [Node] -> Either String JoinSource #

ToXML JoinSource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.JoinSource

Methods

toXML :: JoinSource -> XML #

Generic JoinSource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.JoinSource

Associated Types

type Rep JoinSource :: Type -> Type #

Methods

from :: JoinSource -> Rep JoinSource x #

to :: Rep JoinSource x -> JoinSource #

Read JoinSource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.JoinSource

Methods

readsPrec :: Int -> ReadS JoinSource #

readList :: ReadS [JoinSource] #

readPrec :: ReadPrec JoinSource #

readListPrec :: ReadPrec [JoinSource] #

Show JoinSource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.JoinSource

Methods

showsPrec :: Int -> JoinSource -> ShowS #

show :: JoinSource -> String #

showList :: [JoinSource] -> ShowS #

NFData JoinSource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.JoinSource

Methods

rnf :: JoinSource -> () #

Eq JoinSource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.JoinSource

Methods

(==) :: JoinSource -> JoinSource -> Bool #

(/=) :: JoinSource -> JoinSource -> Bool #

Ord JoinSource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.JoinSource

Methods

compare :: JoinSource -> JoinSource -> Ordering #

(<) :: JoinSource -> JoinSource -> Bool #

(<=) :: JoinSource -> JoinSource -> Bool #

(>) :: JoinSource -> JoinSource -> Bool #

(>=) :: JoinSource -> JoinSource -> Bool #

max :: JoinSource -> JoinSource -> JoinSource #

min :: JoinSource -> JoinSource -> JoinSource #

Hashable JoinSource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.JoinSource

Methods

hashWithSalt :: Int -> JoinSource -> Int #

hash :: JoinSource -> Int #

type Rep JoinSource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.JoinSource

type Rep JoinSource = D1 ('MetaData "JoinSource" "Amazonka.SageMaker.Types.JoinSource" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'True) (C1 ('MetaCons "JoinSource'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromJoinSource") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

LabelingJobStatus

newtype LabelingJobStatus Source #

Constructors

LabelingJobStatus' 

Fields

Bundled Patterns

pattern LabelingJobStatus_Completed :: LabelingJobStatus 
pattern LabelingJobStatus_Failed :: LabelingJobStatus 
pattern LabelingJobStatus_InProgress :: LabelingJobStatus 
pattern LabelingJobStatus_Initializing :: LabelingJobStatus 
pattern LabelingJobStatus_Stopped :: LabelingJobStatus 
pattern LabelingJobStatus_Stopping :: LabelingJobStatus 

Instances

Instances details
FromJSON LabelingJobStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.LabelingJobStatus

Methods

parseJSON :: Value -> Parser LabelingJobStatus #

parseJSONList :: Value -> Parser [LabelingJobStatus] #

FromJSONKey LabelingJobStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.LabelingJobStatus

Methods

fromJSONKey :: FromJSONKeyFunction LabelingJobStatus #

fromJSONKeyList :: FromJSONKeyFunction [LabelingJobStatus] #

ToJSON LabelingJobStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.LabelingJobStatus

Methods

toJSON :: LabelingJobStatus -> Value #

toEncoding :: LabelingJobStatus -> Encoding #

toJSONList :: [LabelingJobStatus] -> Value #

toEncodingList :: [LabelingJobStatus] -> Encoding #

ToJSONKey LabelingJobStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.LabelingJobStatus

Methods

toJSONKey :: ToJSONKeyFunction LabelingJobStatus #

toJSONKeyList :: ToJSONKeyFunction [LabelingJobStatus] #

ToByteString LabelingJobStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.LabelingJobStatus

Methods

toBS :: LabelingJobStatus -> ByteString #

ToHeader LabelingJobStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.LabelingJobStatus

Methods

toHeader :: HeaderName -> LabelingJobStatus -> [Header] #

ToLog LabelingJobStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.LabelingJobStatus

Methods

build :: LabelingJobStatus -> ByteStringBuilder #

ToQuery LabelingJobStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.LabelingJobStatus

Methods

toQuery :: LabelingJobStatus -> QueryString #

FromText LabelingJobStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.LabelingJobStatus

Methods

fromText :: Text -> Either String LabelingJobStatus #

ToText LabelingJobStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.LabelingJobStatus

Methods

toText :: LabelingJobStatus -> Text #

FromXML LabelingJobStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.LabelingJobStatus

Methods

parseXML :: [Node] -> Either String LabelingJobStatus #

ToXML LabelingJobStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.LabelingJobStatus

Methods

toXML :: LabelingJobStatus -> XML #

Generic LabelingJobStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.LabelingJobStatus

Associated Types

type Rep LabelingJobStatus :: Type -> Type #

Methods

from :: LabelingJobStatus -> Rep LabelingJobStatus x #

to :: Rep LabelingJobStatus x -> LabelingJobStatus #

Read LabelingJobStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.LabelingJobStatus

Methods

readsPrec :: Int -> ReadS LabelingJobStatus #

readList :: ReadS [LabelingJobStatus] #

readPrec :: ReadPrec LabelingJobStatus #

readListPrec :: ReadPrec [LabelingJobStatus] #

Show LabelingJobStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.LabelingJobStatus

Methods

showsPrec :: Int -> LabelingJobStatus -> ShowS #

show :: LabelingJobStatus -> String #

showList :: [LabelingJobStatus] -> ShowS #

NFData LabelingJobStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.LabelingJobStatus

Methods

rnf :: LabelingJobStatus -> () #

Eq LabelingJobStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.LabelingJobStatus

Methods

(==) :: LabelingJobStatus -> LabelingJobStatus -> Bool #

(/=) :: LabelingJobStatus -> LabelingJobStatus -> Bool #

Ord LabelingJobStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.LabelingJobStatus

Methods

compare :: LabelingJobStatus -> LabelingJobStatus -> Ordering #

(<) :: LabelingJobStatus -> LabelingJobStatus -> Bool #

(<=) :: LabelingJobStatus -> LabelingJobStatus -> Bool #

(>) :: LabelingJobStatus -> LabelingJobStatus -> Bool #

(>=) :: LabelingJobStatus -> LabelingJobStatus -> Bool #

max :: LabelingJobStatus -> LabelingJobStatus -> LabelingJobStatus #

min :: LabelingJobStatus -> LabelingJobStatus -> LabelingJobStatus #

Hashable LabelingJobStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.LabelingJobStatus

Methods

hashWithSalt :: Int -> LabelingJobStatus -> Int #

hash :: LabelingJobStatus -> Int #

type Rep LabelingJobStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.LabelingJobStatus

type Rep LabelingJobStatus = D1 ('MetaData "LabelingJobStatus" "Amazonka.SageMaker.Types.LabelingJobStatus" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'True) (C1 ('MetaCons "LabelingJobStatus'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromLabelingJobStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

LastUpdateStatusValue

newtype LastUpdateStatusValue Source #

Constructors

LastUpdateStatusValue' 

Fields

Bundled Patterns

pattern LastUpdateStatusValue_Failed :: LastUpdateStatusValue 
pattern LastUpdateStatusValue_InProgress :: LastUpdateStatusValue 
pattern LastUpdateStatusValue_Successful :: LastUpdateStatusValue 

Instances

Instances details
FromJSON LastUpdateStatusValue Source # 
Instance details

Defined in Amazonka.SageMaker.Types.LastUpdateStatusValue

Methods

parseJSON :: Value -> Parser LastUpdateStatusValue #

parseJSONList :: Value -> Parser [LastUpdateStatusValue] #

FromJSONKey LastUpdateStatusValue Source # 
Instance details

Defined in Amazonka.SageMaker.Types.LastUpdateStatusValue

Methods

fromJSONKey :: FromJSONKeyFunction LastUpdateStatusValue #

fromJSONKeyList :: FromJSONKeyFunction [LastUpdateStatusValue] #

ToJSON LastUpdateStatusValue Source # 
Instance details

Defined in Amazonka.SageMaker.Types.LastUpdateStatusValue

Methods

toJSON :: LastUpdateStatusValue -> Value #

toEncoding :: LastUpdateStatusValue -> Encoding #

toJSONList :: [LastUpdateStatusValue] -> Value #

toEncodingList :: [LastUpdateStatusValue] -> Encoding #

ToJSONKey LastUpdateStatusValue Source # 
Instance details

Defined in Amazonka.SageMaker.Types.LastUpdateStatusValue

Methods

toJSONKey :: ToJSONKeyFunction LastUpdateStatusValue #

toJSONKeyList :: ToJSONKeyFunction [LastUpdateStatusValue] #

ToByteString LastUpdateStatusValue Source # 
Instance details

Defined in Amazonka.SageMaker.Types.LastUpdateStatusValue

Methods

toBS :: LastUpdateStatusValue -> ByteString #

ToHeader LastUpdateStatusValue Source # 
Instance details

Defined in Amazonka.SageMaker.Types.LastUpdateStatusValue

Methods

toHeader :: HeaderName -> LastUpdateStatusValue -> [Header] #

ToLog LastUpdateStatusValue Source # 
Instance details

Defined in Amazonka.SageMaker.Types.LastUpdateStatusValue

Methods

build :: LastUpdateStatusValue -> ByteStringBuilder #

ToQuery LastUpdateStatusValue Source # 
Instance details

Defined in Amazonka.SageMaker.Types.LastUpdateStatusValue

Methods

toQuery :: LastUpdateStatusValue -> QueryString #

FromText LastUpdateStatusValue Source # 
Instance details

Defined in Amazonka.SageMaker.Types.LastUpdateStatusValue

Methods

fromText :: Text -> Either String LastUpdateStatusValue #

ToText LastUpdateStatusValue Source # 
Instance details

Defined in Amazonka.SageMaker.Types.LastUpdateStatusValue

Methods

toText :: LastUpdateStatusValue -> Text #

FromXML LastUpdateStatusValue Source # 
Instance details

Defined in Amazonka.SageMaker.Types.LastUpdateStatusValue

Methods

parseXML :: [Node] -> Either String LastUpdateStatusValue #

ToXML LastUpdateStatusValue Source # 
Instance details

Defined in Amazonka.SageMaker.Types.LastUpdateStatusValue

Methods

toXML :: LastUpdateStatusValue -> XML #

Generic LastUpdateStatusValue Source # 
Instance details

Defined in Amazonka.SageMaker.Types.LastUpdateStatusValue

Associated Types

type Rep LastUpdateStatusValue :: Type -> Type #

Methods

from :: LastUpdateStatusValue -> Rep LastUpdateStatusValue x #

to :: Rep LastUpdateStatusValue x -> LastUpdateStatusValue #

Read LastUpdateStatusValue Source # 
Instance details

Defined in Amazonka.SageMaker.Types.LastUpdateStatusValue

Methods

readsPrec :: Int -> ReadS LastUpdateStatusValue #

readList :: ReadS [LastUpdateStatusValue] #

readPrec :: ReadPrec LastUpdateStatusValue #

readListPrec :: ReadPrec [LastUpdateStatusValue] #

Show LastUpdateStatusValue Source # 
Instance details

Defined in Amazonka.SageMaker.Types.LastUpdateStatusValue

Methods

showsPrec :: Int -> LastUpdateStatusValue -> ShowS #

show :: LastUpdateStatusValue -> String #

showList :: [LastUpdateStatusValue] -> ShowS #

NFData LastUpdateStatusValue Source # 
Instance details

Defined in Amazonka.SageMaker.Types.LastUpdateStatusValue

Methods

rnf :: LastUpdateStatusValue -> () #

Eq LastUpdateStatusValue Source # 
Instance details

Defined in Amazonka.SageMaker.Types.LastUpdateStatusValue

Methods

(==) :: LastUpdateStatusValue -> LastUpdateStatusValue -> Bool #

(/=) :: LastUpdateStatusValue -> LastUpdateStatusValue -> Bool #

Ord LastUpdateStatusValue Source # 
Instance details

Defined in Amazonka.SageMaker.Types.LastUpdateStatusValue

Methods

compare :: LastUpdateStatusValue -> LastUpdateStatusValue -> Ordering #

(<) :: LastUpdateStatusValue -> LastUpdateStatusValue -> Bool #

(<=) :: LastUpdateStatusValue -> LastUpdateStatusValue -> Bool #

(>) :: LastUpdateStatusValue -> LastUpdateStatusValue -> Bool #

(>=) :: LastUpdateStatusValue -> LastUpdateStatusValue -> Bool #

max :: LastUpdateStatusValue -> LastUpdateStatusValue -> LastUpdateStatusValue #

min :: LastUpdateStatusValue -> LastUpdateStatusValue -> LastUpdateStatusValue #

Hashable LastUpdateStatusValue Source # 
Instance details

Defined in Amazonka.SageMaker.Types.LastUpdateStatusValue

Methods

hashWithSalt :: Int -> LastUpdateStatusValue -> Int #

hash :: LastUpdateStatusValue -> Int #

type Rep LastUpdateStatusValue Source # 
Instance details

Defined in Amazonka.SageMaker.Types.LastUpdateStatusValue

type Rep LastUpdateStatusValue = D1 ('MetaData "LastUpdateStatusValue" "Amazonka.SageMaker.Types.LastUpdateStatusValue" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'True) (C1 ('MetaCons "LastUpdateStatusValue'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromLastUpdateStatusValue") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

LineageType

newtype LineageType Source #

Constructors

LineageType' 

Fields

Bundled Patterns

pattern LineageType_Action :: LineageType 
pattern LineageType_Artifact :: LineageType 
pattern LineageType_Context :: LineageType 
pattern LineageType_TrialComponent :: LineageType 

Instances

Instances details
FromJSON LineageType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.LineageType

Methods

parseJSON :: Value -> Parser LineageType #

parseJSONList :: Value -> Parser [LineageType] #

FromJSONKey LineageType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.LineageType

Methods

fromJSONKey :: FromJSONKeyFunction LineageType #

fromJSONKeyList :: FromJSONKeyFunction [LineageType] #

ToJSON LineageType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.LineageType

Methods

toJSON :: LineageType -> Value #

toEncoding :: LineageType -> Encoding #

toJSONList :: [LineageType] -> Value #

toEncodingList :: [LineageType] -> Encoding #

ToJSONKey LineageType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.LineageType

Methods

toJSONKey :: ToJSONKeyFunction LineageType #

toJSONKeyList :: ToJSONKeyFunction [LineageType] #

ToByteString LineageType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.LineageType

Methods

toBS :: LineageType -> ByteString #

ToHeader LineageType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.LineageType

Methods

toHeader :: HeaderName -> LineageType -> [Header] #

ToLog LineageType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.LineageType

Methods

build :: LineageType -> ByteStringBuilder #

ToQuery LineageType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.LineageType

Methods

toQuery :: LineageType -> QueryString #

FromText LineageType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.LineageType

Methods

fromText :: Text -> Either String LineageType #

ToText LineageType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.LineageType

Methods

toText :: LineageType -> Text #

FromXML LineageType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.LineageType

Methods

parseXML :: [Node] -> Either String LineageType #

ToXML LineageType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.LineageType

Methods

toXML :: LineageType -> XML #

Generic LineageType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.LineageType

Associated Types

type Rep LineageType :: Type -> Type #

Methods

from :: LineageType -> Rep LineageType x #

to :: Rep LineageType x -> LineageType #

Read LineageType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.LineageType

Methods

readsPrec :: Int -> ReadS LineageType #

readList :: ReadS [LineageType] #

readPrec :: ReadPrec LineageType #

readListPrec :: ReadPrec [LineageType] #

Show LineageType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.LineageType

Methods

showsPrec :: Int -> LineageType -> ShowS #

show :: LineageType -> String #

showList :: [LineageType] -> ShowS #

NFData LineageType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.LineageType

Methods

rnf :: LineageType -> () #

Eq LineageType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.LineageType

Methods

(==) :: LineageType -> LineageType -> Bool #

(/=) :: LineageType -> LineageType -> Bool #

Ord LineageType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.LineageType

Methods

compare :: LineageType -> LineageType -> Ordering #

(<) :: LineageType -> LineageType -> Bool #

(<=) :: LineageType -> LineageType -> Bool #

(>) :: LineageType -> LineageType -> Bool #

(>=) :: LineageType -> LineageType -> Bool #

max :: LineageType -> LineageType -> LineageType #

min :: LineageType -> LineageType -> LineageType #

Hashable LineageType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.LineageType

Methods

hashWithSalt :: Int -> LineageType -> Int #

hash :: LineageType -> Int #

type Rep LineageType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.LineageType

type Rep LineageType = D1 ('MetaData "LineageType" "Amazonka.SageMaker.Types.LineageType" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'True) (C1 ('MetaCons "LineageType'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromLineageType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

ListCompilationJobsSortBy

newtype ListCompilationJobsSortBy Source #

Constructors

ListCompilationJobsSortBy' 

Fields

Bundled Patterns

pattern ListCompilationJobsSortBy_CreationTime :: ListCompilationJobsSortBy 
pattern ListCompilationJobsSortBy_Name :: ListCompilationJobsSortBy 
pattern ListCompilationJobsSortBy_Status :: ListCompilationJobsSortBy 

Instances

Instances details
FromJSON ListCompilationJobsSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ListCompilationJobsSortBy

Methods

parseJSON :: Value -> Parser ListCompilationJobsSortBy #

parseJSONList :: Value -> Parser [ListCompilationJobsSortBy] #

FromJSONKey ListCompilationJobsSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ListCompilationJobsSortBy

Methods

fromJSONKey :: FromJSONKeyFunction ListCompilationJobsSortBy #

fromJSONKeyList :: FromJSONKeyFunction [ListCompilationJobsSortBy] #

ToJSON ListCompilationJobsSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ListCompilationJobsSortBy

Methods

toJSON :: ListCompilationJobsSortBy -> Value #

toEncoding :: ListCompilationJobsSortBy -> Encoding #

toJSONList :: [ListCompilationJobsSortBy] -> Value #

toEncodingList :: [ListCompilationJobsSortBy] -> Encoding #

ToJSONKey ListCompilationJobsSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ListCompilationJobsSortBy

Methods

toJSONKey :: ToJSONKeyFunction ListCompilationJobsSortBy #

toJSONKeyList :: ToJSONKeyFunction [ListCompilationJobsSortBy] #

ToByteString ListCompilationJobsSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ListCompilationJobsSortBy

Methods

toBS :: ListCompilationJobsSortBy -> ByteString #

ToHeader ListCompilationJobsSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ListCompilationJobsSortBy

Methods

toHeader :: HeaderName -> ListCompilationJobsSortBy -> [Header] #

ToLog ListCompilationJobsSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ListCompilationJobsSortBy

Methods

build :: ListCompilationJobsSortBy -> ByteStringBuilder #

ToQuery ListCompilationJobsSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ListCompilationJobsSortBy

Methods

toQuery :: ListCompilationJobsSortBy -> QueryString #

FromText ListCompilationJobsSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ListCompilationJobsSortBy

Methods

fromText :: Text -> Either String ListCompilationJobsSortBy #

ToText ListCompilationJobsSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ListCompilationJobsSortBy

Methods

toText :: ListCompilationJobsSortBy -> Text #

FromXML ListCompilationJobsSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ListCompilationJobsSortBy

Methods

parseXML :: [Node] -> Either String ListCompilationJobsSortBy #

ToXML ListCompilationJobsSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ListCompilationJobsSortBy

Methods

toXML :: ListCompilationJobsSortBy -> XML #

Generic ListCompilationJobsSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ListCompilationJobsSortBy

Associated Types

type Rep ListCompilationJobsSortBy :: Type -> Type #

Methods

from :: ListCompilationJobsSortBy -> Rep ListCompilationJobsSortBy x #

to :: Rep ListCompilationJobsSortBy x -> ListCompilationJobsSortBy #

Read ListCompilationJobsSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ListCompilationJobsSortBy

Methods

readsPrec :: Int -> ReadS ListCompilationJobsSortBy #

readList :: ReadS [ListCompilationJobsSortBy] #

readPrec :: ReadPrec ListCompilationJobsSortBy #

readListPrec :: ReadPrec [ListCompilationJobsSortBy] #

Show ListCompilationJobsSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ListCompilationJobsSortBy

Methods

showsPrec :: Int -> ListCompilationJobsSortBy -> ShowS #

show :: ListCompilationJobsSortBy -> String #

showList :: [ListCompilationJobsSortBy] -> ShowS #

NFData ListCompilationJobsSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ListCompilationJobsSortBy

Methods

rnf :: ListCompilationJobsSortBy -> () #

Eq ListCompilationJobsSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ListCompilationJobsSortBy

Methods

(==) :: ListCompilationJobsSortBy -> ListCompilationJobsSortBy -> Bool #

(/=) :: ListCompilationJobsSortBy -> ListCompilationJobsSortBy -> Bool #

Ord ListCompilationJobsSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ListCompilationJobsSortBy

Methods

compare :: ListCompilationJobsSortBy -> ListCompilationJobsSortBy -> Ordering #

(<) :: ListCompilationJobsSortBy -> ListCompilationJobsSortBy -> Bool #

(<=) :: ListCompilationJobsSortBy -> ListCompilationJobsSortBy -> Bool #

(>) :: ListCompilationJobsSortBy -> ListCompilationJobsSortBy -> Bool #

(>=) :: ListCompilationJobsSortBy -> ListCompilationJobsSortBy -> Bool #

max :: ListCompilationJobsSortBy -> ListCompilationJobsSortBy -> ListCompilationJobsSortBy #

min :: ListCompilationJobsSortBy -> ListCompilationJobsSortBy -> ListCompilationJobsSortBy #

Hashable ListCompilationJobsSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ListCompilationJobsSortBy

Methods

hashWithSalt :: Int -> ListCompilationJobsSortBy -> Int #

hash :: ListCompilationJobsSortBy -> Int #

type Rep ListCompilationJobsSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ListCompilationJobsSortBy

type Rep ListCompilationJobsSortBy = D1 ('MetaData "ListCompilationJobsSortBy" "Amazonka.SageMaker.Types.ListCompilationJobsSortBy" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'True) (C1 ('MetaCons "ListCompilationJobsSortBy'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromListCompilationJobsSortBy") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

ListDeviceFleetsSortBy

newtype ListDeviceFleetsSortBy Source #

Constructors

ListDeviceFleetsSortBy' 

Fields

Bundled Patterns

pattern ListDeviceFleetsSortBy_CREATION_TIME :: ListDeviceFleetsSortBy 
pattern ListDeviceFleetsSortBy_LAST_MODIFIED_TIME :: ListDeviceFleetsSortBy 
pattern ListDeviceFleetsSortBy_NAME :: ListDeviceFleetsSortBy 

Instances

Instances details
FromJSON ListDeviceFleetsSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ListDeviceFleetsSortBy

Methods

parseJSON :: Value -> Parser ListDeviceFleetsSortBy #

parseJSONList :: Value -> Parser [ListDeviceFleetsSortBy] #

FromJSONKey ListDeviceFleetsSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ListDeviceFleetsSortBy

Methods

fromJSONKey :: FromJSONKeyFunction ListDeviceFleetsSortBy #

fromJSONKeyList :: FromJSONKeyFunction [ListDeviceFleetsSortBy] #

ToJSON ListDeviceFleetsSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ListDeviceFleetsSortBy

Methods

toJSON :: ListDeviceFleetsSortBy -> Value #

toEncoding :: ListDeviceFleetsSortBy -> Encoding #

toJSONList :: [ListDeviceFleetsSortBy] -> Value #

toEncodingList :: [ListDeviceFleetsSortBy] -> Encoding #

ToJSONKey ListDeviceFleetsSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ListDeviceFleetsSortBy

Methods

toJSONKey :: ToJSONKeyFunction ListDeviceFleetsSortBy #

toJSONKeyList :: ToJSONKeyFunction [ListDeviceFleetsSortBy] #

ToByteString ListDeviceFleetsSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ListDeviceFleetsSortBy

Methods

toBS :: ListDeviceFleetsSortBy -> ByteString #

ToHeader ListDeviceFleetsSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ListDeviceFleetsSortBy

Methods

toHeader :: HeaderName -> ListDeviceFleetsSortBy -> [Header] #

ToLog ListDeviceFleetsSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ListDeviceFleetsSortBy

Methods

build :: ListDeviceFleetsSortBy -> ByteStringBuilder #

ToQuery ListDeviceFleetsSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ListDeviceFleetsSortBy

Methods

toQuery :: ListDeviceFleetsSortBy -> QueryString #

FromText ListDeviceFleetsSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ListDeviceFleetsSortBy

Methods

fromText :: Text -> Either String ListDeviceFleetsSortBy #

ToText ListDeviceFleetsSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ListDeviceFleetsSortBy

Methods

toText :: ListDeviceFleetsSortBy -> Text #

FromXML ListDeviceFleetsSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ListDeviceFleetsSortBy

Methods

parseXML :: [Node] -> Either String ListDeviceFleetsSortBy #

ToXML ListDeviceFleetsSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ListDeviceFleetsSortBy

Methods

toXML :: ListDeviceFleetsSortBy -> XML #

Generic ListDeviceFleetsSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ListDeviceFleetsSortBy

Associated Types

type Rep ListDeviceFleetsSortBy :: Type -> Type #

Methods

from :: ListDeviceFleetsSortBy -> Rep ListDeviceFleetsSortBy x #

to :: Rep ListDeviceFleetsSortBy x -> ListDeviceFleetsSortBy #

Read ListDeviceFleetsSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ListDeviceFleetsSortBy

Methods

readsPrec :: Int -> ReadS ListDeviceFleetsSortBy #

readList :: ReadS [ListDeviceFleetsSortBy] #

readPrec :: ReadPrec ListDeviceFleetsSortBy #

readListPrec :: ReadPrec [ListDeviceFleetsSortBy] #

Show ListDeviceFleetsSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ListDeviceFleetsSortBy

Methods

showsPrec :: Int -> ListDeviceFleetsSortBy -> ShowS #

show :: ListDeviceFleetsSortBy -> String #

showList :: [ListDeviceFleetsSortBy] -> ShowS #

NFData ListDeviceFleetsSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ListDeviceFleetsSortBy

Methods

rnf :: ListDeviceFleetsSortBy -> () #

Eq ListDeviceFleetsSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ListDeviceFleetsSortBy

Methods

(==) :: ListDeviceFleetsSortBy -> ListDeviceFleetsSortBy -> Bool #

(/=) :: ListDeviceFleetsSortBy -> ListDeviceFleetsSortBy -> Bool #

Ord ListDeviceFleetsSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ListDeviceFleetsSortBy

Methods

compare :: ListDeviceFleetsSortBy -> ListDeviceFleetsSortBy -> Ordering #

(<) :: ListDeviceFleetsSortBy -> ListDeviceFleetsSortBy -> Bool #

(<=) :: ListDeviceFleetsSortBy -> ListDeviceFleetsSortBy -> Bool #

(>) :: ListDeviceFleetsSortBy -> ListDeviceFleetsSortBy -> Bool #

(>=) :: ListDeviceFleetsSortBy -> ListDeviceFleetsSortBy -> Bool #

max :: ListDeviceFleetsSortBy -> ListDeviceFleetsSortBy -> ListDeviceFleetsSortBy #

min :: ListDeviceFleetsSortBy -> ListDeviceFleetsSortBy -> ListDeviceFleetsSortBy #

Hashable ListDeviceFleetsSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ListDeviceFleetsSortBy

Methods

hashWithSalt :: Int -> ListDeviceFleetsSortBy -> Int #

hash :: ListDeviceFleetsSortBy -> Int #

type Rep ListDeviceFleetsSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ListDeviceFleetsSortBy

type Rep ListDeviceFleetsSortBy = D1 ('MetaData "ListDeviceFleetsSortBy" "Amazonka.SageMaker.Types.ListDeviceFleetsSortBy" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'True) (C1 ('MetaCons "ListDeviceFleetsSortBy'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromListDeviceFleetsSortBy") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

ListEdgeDeploymentPlansSortBy

newtype ListEdgeDeploymentPlansSortBy Source #

Constructors

ListEdgeDeploymentPlansSortBy' 

Fields

Bundled Patterns

pattern ListEdgeDeploymentPlansSortBy_CREATION_TIME :: ListEdgeDeploymentPlansSortBy 
pattern ListEdgeDeploymentPlansSortBy_DEVICE_FLEET_NAME :: ListEdgeDeploymentPlansSortBy 
pattern ListEdgeDeploymentPlansSortBy_LAST_MODIFIED_TIME :: ListEdgeDeploymentPlansSortBy 
pattern ListEdgeDeploymentPlansSortBy_NAME :: ListEdgeDeploymentPlansSortBy 

Instances

Instances details
FromJSON ListEdgeDeploymentPlansSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ListEdgeDeploymentPlansSortBy

Methods

parseJSON :: Value -> Parser ListEdgeDeploymentPlansSortBy #

parseJSONList :: Value -> Parser [ListEdgeDeploymentPlansSortBy] #

FromJSONKey ListEdgeDeploymentPlansSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ListEdgeDeploymentPlansSortBy

Methods

fromJSONKey :: FromJSONKeyFunction ListEdgeDeploymentPlansSortBy #

fromJSONKeyList :: FromJSONKeyFunction [ListEdgeDeploymentPlansSortBy] #

ToJSON ListEdgeDeploymentPlansSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ListEdgeDeploymentPlansSortBy

Methods

toJSON :: ListEdgeDeploymentPlansSortBy -> Value #

toEncoding :: ListEdgeDeploymentPlansSortBy -> Encoding #

toJSONList :: [ListEdgeDeploymentPlansSortBy] -> Value #

toEncodingList :: [ListEdgeDeploymentPlansSortBy] -> Encoding #

ToJSONKey ListEdgeDeploymentPlansSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ListEdgeDeploymentPlansSortBy

Methods

toJSONKey :: ToJSONKeyFunction ListEdgeDeploymentPlansSortBy #

toJSONKeyList :: ToJSONKeyFunction [ListEdgeDeploymentPlansSortBy] #

ToByteString ListEdgeDeploymentPlansSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ListEdgeDeploymentPlansSortBy

Methods

toBS :: ListEdgeDeploymentPlansSortBy -> ByteString #

ToHeader ListEdgeDeploymentPlansSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ListEdgeDeploymentPlansSortBy

Methods

toHeader :: HeaderName -> ListEdgeDeploymentPlansSortBy -> [Header] #

ToLog ListEdgeDeploymentPlansSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ListEdgeDeploymentPlansSortBy

Methods

build :: ListEdgeDeploymentPlansSortBy -> ByteStringBuilder #

ToQuery ListEdgeDeploymentPlansSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ListEdgeDeploymentPlansSortBy

Methods

toQuery :: ListEdgeDeploymentPlansSortBy -> QueryString #

FromText ListEdgeDeploymentPlansSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ListEdgeDeploymentPlansSortBy

Methods

fromText :: Text -> Either String ListEdgeDeploymentPlansSortBy #

ToText ListEdgeDeploymentPlansSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ListEdgeDeploymentPlansSortBy

Methods

toText :: ListEdgeDeploymentPlansSortBy -> Text #

FromXML ListEdgeDeploymentPlansSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ListEdgeDeploymentPlansSortBy

Methods

parseXML :: [Node] -> Either String ListEdgeDeploymentPlansSortBy #

ToXML ListEdgeDeploymentPlansSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ListEdgeDeploymentPlansSortBy

Methods

toXML :: ListEdgeDeploymentPlansSortBy -> XML #

Generic ListEdgeDeploymentPlansSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ListEdgeDeploymentPlansSortBy

Associated Types

type Rep ListEdgeDeploymentPlansSortBy :: Type -> Type #

Methods

from :: ListEdgeDeploymentPlansSortBy -> Rep ListEdgeDeploymentPlansSortBy x #

to :: Rep ListEdgeDeploymentPlansSortBy x -> ListEdgeDeploymentPlansSortBy #

Read ListEdgeDeploymentPlansSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ListEdgeDeploymentPlansSortBy

Methods

readsPrec :: Int -> ReadS ListEdgeDeploymentPlansSortBy #

readList :: ReadS [ListEdgeDeploymentPlansSortBy] #

readPrec :: ReadPrec ListEdgeDeploymentPlansSortBy #

readListPrec :: ReadPrec [ListEdgeDeploymentPlansSortBy] #

Show ListEdgeDeploymentPlansSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ListEdgeDeploymentPlansSortBy

Methods

showsPrec :: Int -> ListEdgeDeploymentPlansSortBy -> ShowS #

show :: ListEdgeDeploymentPlansSortBy -> String #

showList :: [ListEdgeDeploymentPlansSortBy] -> ShowS #

NFData ListEdgeDeploymentPlansSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ListEdgeDeploymentPlansSortBy

Methods

rnf :: ListEdgeDeploymentPlansSortBy -> () #

Eq ListEdgeDeploymentPlansSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ListEdgeDeploymentPlansSortBy

Methods

(==) :: ListEdgeDeploymentPlansSortBy -> ListEdgeDeploymentPlansSortBy -> Bool #

(/=) :: ListEdgeDeploymentPlansSortBy -> ListEdgeDeploymentPlansSortBy -> Bool #

Ord ListEdgeDeploymentPlansSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ListEdgeDeploymentPlansSortBy

Methods

compare :: ListEdgeDeploymentPlansSortBy -> ListEdgeDeploymentPlansSortBy -> Ordering #

(<) :: ListEdgeDeploymentPlansSortBy -> ListEdgeDeploymentPlansSortBy -> Bool #

(<=) :: ListEdgeDeploymentPlansSortBy -> ListEdgeDeploymentPlansSortBy -> Bool #

(>) :: ListEdgeDeploymentPlansSortBy -> ListEdgeDeploymentPlansSortBy -> Bool #

(>=) :: ListEdgeDeploymentPlansSortBy -> ListEdgeDeploymentPlansSortBy -> Bool #

max :: ListEdgeDeploymentPlansSortBy -> ListEdgeDeploymentPlansSortBy -> ListEdgeDeploymentPlansSortBy #

min :: ListEdgeDeploymentPlansSortBy -> ListEdgeDeploymentPlansSortBy -> ListEdgeDeploymentPlansSortBy #

Hashable ListEdgeDeploymentPlansSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ListEdgeDeploymentPlansSortBy

Methods

hashWithSalt :: Int -> ListEdgeDeploymentPlansSortBy -> Int #

hash :: ListEdgeDeploymentPlansSortBy -> Int #

type Rep ListEdgeDeploymentPlansSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ListEdgeDeploymentPlansSortBy

type Rep ListEdgeDeploymentPlansSortBy = D1 ('MetaData "ListEdgeDeploymentPlansSortBy" "Amazonka.SageMaker.Types.ListEdgeDeploymentPlansSortBy" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'True) (C1 ('MetaCons "ListEdgeDeploymentPlansSortBy'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromListEdgeDeploymentPlansSortBy") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

ListEdgePackagingJobsSortBy

newtype ListEdgePackagingJobsSortBy Source #

Constructors

ListEdgePackagingJobsSortBy' 

Fields

Bundled Patterns

pattern ListEdgePackagingJobsSortBy_CREATION_TIME :: ListEdgePackagingJobsSortBy 
pattern ListEdgePackagingJobsSortBy_LAST_MODIFIED_TIME :: ListEdgePackagingJobsSortBy 
pattern ListEdgePackagingJobsSortBy_MODEL_NAME :: ListEdgePackagingJobsSortBy 
pattern ListEdgePackagingJobsSortBy_NAME :: ListEdgePackagingJobsSortBy 
pattern ListEdgePackagingJobsSortBy_STATUS :: ListEdgePackagingJobsSortBy 

Instances

Instances details
FromJSON ListEdgePackagingJobsSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ListEdgePackagingJobsSortBy

Methods

parseJSON :: Value -> Parser ListEdgePackagingJobsSortBy #

parseJSONList :: Value -> Parser [ListEdgePackagingJobsSortBy] #

FromJSONKey ListEdgePackagingJobsSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ListEdgePackagingJobsSortBy

Methods

fromJSONKey :: FromJSONKeyFunction ListEdgePackagingJobsSortBy #

fromJSONKeyList :: FromJSONKeyFunction [ListEdgePackagingJobsSortBy] #

ToJSON ListEdgePackagingJobsSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ListEdgePackagingJobsSortBy

Methods

toJSON :: ListEdgePackagingJobsSortBy -> Value #

toEncoding :: ListEdgePackagingJobsSortBy -> Encoding #

toJSONList :: [ListEdgePackagingJobsSortBy] -> Value #

toEncodingList :: [ListEdgePackagingJobsSortBy] -> Encoding #

ToJSONKey ListEdgePackagingJobsSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ListEdgePackagingJobsSortBy

Methods

toJSONKey :: ToJSONKeyFunction ListEdgePackagingJobsSortBy #

toJSONKeyList :: ToJSONKeyFunction [ListEdgePackagingJobsSortBy] #

ToByteString ListEdgePackagingJobsSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ListEdgePackagingJobsSortBy

Methods

toBS :: ListEdgePackagingJobsSortBy -> ByteString #

ToHeader ListEdgePackagingJobsSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ListEdgePackagingJobsSortBy

Methods

toHeader :: HeaderName -> ListEdgePackagingJobsSortBy -> [Header] #

ToLog ListEdgePackagingJobsSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ListEdgePackagingJobsSortBy

Methods

build :: ListEdgePackagingJobsSortBy -> ByteStringBuilder #

ToQuery ListEdgePackagingJobsSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ListEdgePackagingJobsSortBy

Methods

toQuery :: ListEdgePackagingJobsSortBy -> QueryString #

FromText ListEdgePackagingJobsSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ListEdgePackagingJobsSortBy

Methods

fromText :: Text -> Either String ListEdgePackagingJobsSortBy #

ToText ListEdgePackagingJobsSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ListEdgePackagingJobsSortBy

Methods

toText :: ListEdgePackagingJobsSortBy -> Text #

FromXML ListEdgePackagingJobsSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ListEdgePackagingJobsSortBy

Methods

parseXML :: [Node] -> Either String ListEdgePackagingJobsSortBy #

ToXML ListEdgePackagingJobsSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ListEdgePackagingJobsSortBy

Methods

toXML :: ListEdgePackagingJobsSortBy -> XML #

Generic ListEdgePackagingJobsSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ListEdgePackagingJobsSortBy

Associated Types

type Rep ListEdgePackagingJobsSortBy :: Type -> Type #

Methods

from :: ListEdgePackagingJobsSortBy -> Rep ListEdgePackagingJobsSortBy x #

to :: Rep ListEdgePackagingJobsSortBy x -> ListEdgePackagingJobsSortBy #

Read ListEdgePackagingJobsSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ListEdgePackagingJobsSortBy

Methods

readsPrec :: Int -> ReadS ListEdgePackagingJobsSortBy #

readList :: ReadS [ListEdgePackagingJobsSortBy] #

readPrec :: ReadPrec ListEdgePackagingJobsSortBy #

readListPrec :: ReadPrec [ListEdgePackagingJobsSortBy] #

Show ListEdgePackagingJobsSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ListEdgePackagingJobsSortBy

Methods

showsPrec :: Int -> ListEdgePackagingJobsSortBy -> ShowS #

show :: ListEdgePackagingJobsSortBy -> String #

showList :: [ListEdgePackagingJobsSortBy] -> ShowS #

NFData ListEdgePackagingJobsSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ListEdgePackagingJobsSortBy

Methods

rnf :: ListEdgePackagingJobsSortBy -> () #

Eq ListEdgePackagingJobsSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ListEdgePackagingJobsSortBy

Methods

(==) :: ListEdgePackagingJobsSortBy -> ListEdgePackagingJobsSortBy -> Bool #

(/=) :: ListEdgePackagingJobsSortBy -> ListEdgePackagingJobsSortBy -> Bool #

Ord ListEdgePackagingJobsSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ListEdgePackagingJobsSortBy

Methods

compare :: ListEdgePackagingJobsSortBy -> ListEdgePackagingJobsSortBy -> Ordering #

(<) :: ListEdgePackagingJobsSortBy -> ListEdgePackagingJobsSortBy -> Bool #

(<=) :: ListEdgePackagingJobsSortBy -> ListEdgePackagingJobsSortBy -> Bool #

(>) :: ListEdgePackagingJobsSortBy -> ListEdgePackagingJobsSortBy -> Bool #

(>=) :: ListEdgePackagingJobsSortBy -> ListEdgePackagingJobsSortBy -> Bool #

max :: ListEdgePackagingJobsSortBy -> ListEdgePackagingJobsSortBy -> ListEdgePackagingJobsSortBy #

min :: ListEdgePackagingJobsSortBy -> ListEdgePackagingJobsSortBy -> ListEdgePackagingJobsSortBy #

Hashable ListEdgePackagingJobsSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ListEdgePackagingJobsSortBy

Methods

hashWithSalt :: Int -> ListEdgePackagingJobsSortBy -> Int #

hash :: ListEdgePackagingJobsSortBy -> Int #

type Rep ListEdgePackagingJobsSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ListEdgePackagingJobsSortBy

type Rep ListEdgePackagingJobsSortBy = D1 ('MetaData "ListEdgePackagingJobsSortBy" "Amazonka.SageMaker.Types.ListEdgePackagingJobsSortBy" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'True) (C1 ('MetaCons "ListEdgePackagingJobsSortBy'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromListEdgePackagingJobsSortBy") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

ListInferenceRecommendationsJobsSortBy

newtype ListInferenceRecommendationsJobsSortBy Source #

Constructors

ListInferenceRecommendationsJobsSortBy' 

Fields

Bundled Patterns

pattern ListInferenceRecommendationsJobsSortBy_CreationTime :: ListInferenceRecommendationsJobsSortBy 
pattern ListInferenceRecommendationsJobsSortBy_Name :: ListInferenceRecommendationsJobsSortBy 
pattern ListInferenceRecommendationsJobsSortBy_Status :: ListInferenceRecommendationsJobsSortBy 

Instances

Instances details
FromJSON ListInferenceRecommendationsJobsSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ListInferenceRecommendationsJobsSortBy

Methods

parseJSON :: Value -> Parser ListInferenceRecommendationsJobsSortBy #

parseJSONList :: Value -> Parser [ListInferenceRecommendationsJobsSortBy] #

FromJSONKey ListInferenceRecommendationsJobsSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ListInferenceRecommendationsJobsSortBy

Methods

fromJSONKey :: FromJSONKeyFunction ListInferenceRecommendationsJobsSortBy #

fromJSONKeyList :: FromJSONKeyFunction [ListInferenceRecommendationsJobsSortBy] #

ToJSON ListInferenceRecommendationsJobsSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ListInferenceRecommendationsJobsSortBy

Methods

toJSON :: ListInferenceRecommendationsJobsSortBy -> Value #

toEncoding :: ListInferenceRecommendationsJobsSortBy -> Encoding #

toJSONList :: [ListInferenceRecommendationsJobsSortBy] -> Value #

toEncodingList :: [ListInferenceRecommendationsJobsSortBy] -> Encoding #

ToJSONKey ListInferenceRecommendationsJobsSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ListInferenceRecommendationsJobsSortBy

Methods

toJSONKey :: ToJSONKeyFunction ListInferenceRecommendationsJobsSortBy #

toJSONKeyList :: ToJSONKeyFunction [ListInferenceRecommendationsJobsSortBy] #

ToByteString ListInferenceRecommendationsJobsSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ListInferenceRecommendationsJobsSortBy

Methods

toBS :: ListInferenceRecommendationsJobsSortBy -> ByteString #

ToHeader ListInferenceRecommendationsJobsSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ListInferenceRecommendationsJobsSortBy

Methods

toHeader :: HeaderName -> ListInferenceRecommendationsJobsSortBy -> [Header] #

ToLog ListInferenceRecommendationsJobsSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ListInferenceRecommendationsJobsSortBy

Methods

build :: ListInferenceRecommendationsJobsSortBy -> ByteStringBuilder #

ToQuery ListInferenceRecommendationsJobsSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ListInferenceRecommendationsJobsSortBy

Methods

toQuery :: ListInferenceRecommendationsJobsSortBy -> QueryString #

FromText ListInferenceRecommendationsJobsSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ListInferenceRecommendationsJobsSortBy

Methods

fromText :: Text -> Either String ListInferenceRecommendationsJobsSortBy #

ToText ListInferenceRecommendationsJobsSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ListInferenceRecommendationsJobsSortBy

Methods

toText :: ListInferenceRecommendationsJobsSortBy -> Text #

FromXML ListInferenceRecommendationsJobsSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ListInferenceRecommendationsJobsSortBy

Methods

parseXML :: [Node] -> Either String ListInferenceRecommendationsJobsSortBy #

ToXML ListInferenceRecommendationsJobsSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ListInferenceRecommendationsJobsSortBy

Methods

toXML :: ListInferenceRecommendationsJobsSortBy -> XML #

Generic ListInferenceRecommendationsJobsSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ListInferenceRecommendationsJobsSortBy

Associated Types

type Rep ListInferenceRecommendationsJobsSortBy :: Type -> Type #

Methods

from :: ListInferenceRecommendationsJobsSortBy -> Rep ListInferenceRecommendationsJobsSortBy x #

to :: Rep ListInferenceRecommendationsJobsSortBy x -> ListInferenceRecommendationsJobsSortBy #

Read ListInferenceRecommendationsJobsSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ListInferenceRecommendationsJobsSortBy

Methods

readsPrec :: Int -> ReadS ListInferenceRecommendationsJobsSortBy #

readList :: ReadS [ListInferenceRecommendationsJobsSortBy] #

readPrec :: ReadPrec ListInferenceRecommendationsJobsSortBy #

readListPrec :: ReadPrec [ListInferenceRecommendationsJobsSortBy] #

Show ListInferenceRecommendationsJobsSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ListInferenceRecommendationsJobsSortBy

Methods

showsPrec :: Int -> ListInferenceRecommendationsJobsSortBy -> ShowS #

show :: ListInferenceRecommendationsJobsSortBy -> String #

showList :: [ListInferenceRecommendationsJobsSortBy] -> ShowS #

NFData ListInferenceRecommendationsJobsSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ListInferenceRecommendationsJobsSortBy

Methods

rnf :: ListInferenceRecommendationsJobsSortBy -> () #

Eq ListInferenceRecommendationsJobsSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ListInferenceRecommendationsJobsSortBy

Methods

(==) :: ListInferenceRecommendationsJobsSortBy -> ListInferenceRecommendationsJobsSortBy -> Bool #

(/=) :: ListInferenceRecommendationsJobsSortBy -> ListInferenceRecommendationsJobsSortBy -> Bool #

Ord ListInferenceRecommendationsJobsSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ListInferenceRecommendationsJobsSortBy

Methods

compare :: ListInferenceRecommendationsJobsSortBy -> ListInferenceRecommendationsJobsSortBy -> Ordering #

(<) :: ListInferenceRecommendationsJobsSortBy -> ListInferenceRecommendationsJobsSortBy -> Bool #

(<=) :: ListInferenceRecommendationsJobsSortBy -> ListInferenceRecommendationsJobsSortBy -> Bool #

(>) :: ListInferenceRecommendationsJobsSortBy -> ListInferenceRecommendationsJobsSortBy -> Bool #

(>=) :: ListInferenceRecommendationsJobsSortBy -> ListInferenceRecommendationsJobsSortBy -> Bool #

max :: ListInferenceRecommendationsJobsSortBy -> ListInferenceRecommendationsJobsSortBy -> ListInferenceRecommendationsJobsSortBy #

min :: ListInferenceRecommendationsJobsSortBy -> ListInferenceRecommendationsJobsSortBy -> ListInferenceRecommendationsJobsSortBy #

Hashable ListInferenceRecommendationsJobsSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ListInferenceRecommendationsJobsSortBy

Methods

hashWithSalt :: Int -> ListInferenceRecommendationsJobsSortBy -> Int #

hash :: ListInferenceRecommendationsJobsSortBy -> Int #

type Rep ListInferenceRecommendationsJobsSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ListInferenceRecommendationsJobsSortBy

type Rep ListInferenceRecommendationsJobsSortBy = D1 ('MetaData "ListInferenceRecommendationsJobsSortBy" "Amazonka.SageMaker.Types.ListInferenceRecommendationsJobsSortBy" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'True) (C1 ('MetaCons "ListInferenceRecommendationsJobsSortBy'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromListInferenceRecommendationsJobsSortBy") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

ListLabelingJobsForWorkteamSortByOptions

newtype ListLabelingJobsForWorkteamSortByOptions Source #

Constructors

ListLabelingJobsForWorkteamSortByOptions' 

Fields

Bundled Patterns

pattern ListLabelingJobsForWorkteamSortByOptions_CreationTime :: ListLabelingJobsForWorkteamSortByOptions 

Instances

Instances details
FromJSON ListLabelingJobsForWorkteamSortByOptions Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ListLabelingJobsForWorkteamSortByOptions

Methods

parseJSON :: Value -> Parser ListLabelingJobsForWorkteamSortByOptions #

parseJSONList :: Value -> Parser [ListLabelingJobsForWorkteamSortByOptions] #

FromJSONKey ListLabelingJobsForWorkteamSortByOptions Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ListLabelingJobsForWorkteamSortByOptions

Methods

fromJSONKey :: FromJSONKeyFunction ListLabelingJobsForWorkteamSortByOptions #

fromJSONKeyList :: FromJSONKeyFunction [ListLabelingJobsForWorkteamSortByOptions] #

ToJSON ListLabelingJobsForWorkteamSortByOptions Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ListLabelingJobsForWorkteamSortByOptions

Methods

toJSON :: ListLabelingJobsForWorkteamSortByOptions -> Value #

toEncoding :: ListLabelingJobsForWorkteamSortByOptions -> Encoding #

toJSONList :: [ListLabelingJobsForWorkteamSortByOptions] -> Value #

toEncodingList :: [ListLabelingJobsForWorkteamSortByOptions] -> Encoding #

ToJSONKey ListLabelingJobsForWorkteamSortByOptions Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ListLabelingJobsForWorkteamSortByOptions

Methods

toJSONKey :: ToJSONKeyFunction ListLabelingJobsForWorkteamSortByOptions #

toJSONKeyList :: ToJSONKeyFunction [ListLabelingJobsForWorkteamSortByOptions] #

ToByteString ListLabelingJobsForWorkteamSortByOptions Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ListLabelingJobsForWorkteamSortByOptions

Methods

toBS :: ListLabelingJobsForWorkteamSortByOptions -> ByteString #

ToHeader ListLabelingJobsForWorkteamSortByOptions Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ListLabelingJobsForWorkteamSortByOptions

Methods

toHeader :: HeaderName -> ListLabelingJobsForWorkteamSortByOptions -> [Header] #

ToLog ListLabelingJobsForWorkteamSortByOptions Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ListLabelingJobsForWorkteamSortByOptions

Methods

build :: ListLabelingJobsForWorkteamSortByOptions -> ByteStringBuilder #

ToQuery ListLabelingJobsForWorkteamSortByOptions Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ListLabelingJobsForWorkteamSortByOptions

Methods

toQuery :: ListLabelingJobsForWorkteamSortByOptions -> QueryString #

FromText ListLabelingJobsForWorkteamSortByOptions Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ListLabelingJobsForWorkteamSortByOptions

Methods

fromText :: Text -> Either String ListLabelingJobsForWorkteamSortByOptions #

ToText ListLabelingJobsForWorkteamSortByOptions Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ListLabelingJobsForWorkteamSortByOptions

Methods

toText :: ListLabelingJobsForWorkteamSortByOptions -> Text #

FromXML ListLabelingJobsForWorkteamSortByOptions Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ListLabelingJobsForWorkteamSortByOptions

Methods

parseXML :: [Node] -> Either String ListLabelingJobsForWorkteamSortByOptions #

ToXML ListLabelingJobsForWorkteamSortByOptions Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ListLabelingJobsForWorkteamSortByOptions

Methods

toXML :: ListLabelingJobsForWorkteamSortByOptions -> XML #

Generic ListLabelingJobsForWorkteamSortByOptions Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ListLabelingJobsForWorkteamSortByOptions

Associated Types

type Rep ListLabelingJobsForWorkteamSortByOptions :: Type -> Type #

Methods

from :: ListLabelingJobsForWorkteamSortByOptions -> Rep ListLabelingJobsForWorkteamSortByOptions x #

to :: Rep ListLabelingJobsForWorkteamSortByOptions x -> ListLabelingJobsForWorkteamSortByOptions #

Read ListLabelingJobsForWorkteamSortByOptions Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ListLabelingJobsForWorkteamSortByOptions

Methods

readsPrec :: Int -> ReadS ListLabelingJobsForWorkteamSortByOptions #

readList :: ReadS [ListLabelingJobsForWorkteamSortByOptions] #

readPrec :: ReadPrec ListLabelingJobsForWorkteamSortByOptions #

readListPrec :: ReadPrec [ListLabelingJobsForWorkteamSortByOptions] #

Show ListLabelingJobsForWorkteamSortByOptions Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ListLabelingJobsForWorkteamSortByOptions

Methods

showsPrec :: Int -> ListLabelingJobsForWorkteamSortByOptions -> ShowS #

show :: ListLabelingJobsForWorkteamSortByOptions -> String #

showList :: [ListLabelingJobsForWorkteamSortByOptions] -> ShowS #

NFData ListLabelingJobsForWorkteamSortByOptions Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ListLabelingJobsForWorkteamSortByOptions

Methods

rnf :: ListLabelingJobsForWorkteamSortByOptions -> () #

Eq ListLabelingJobsForWorkteamSortByOptions Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ListLabelingJobsForWorkteamSortByOptions

Methods

(==) :: ListLabelingJobsForWorkteamSortByOptions -> ListLabelingJobsForWorkteamSortByOptions -> Bool #

(/=) :: ListLabelingJobsForWorkteamSortByOptions -> ListLabelingJobsForWorkteamSortByOptions -> Bool #

Ord ListLabelingJobsForWorkteamSortByOptions Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ListLabelingJobsForWorkteamSortByOptions

Methods

compare :: ListLabelingJobsForWorkteamSortByOptions -> ListLabelingJobsForWorkteamSortByOptions -> Ordering #

(<) :: ListLabelingJobsForWorkteamSortByOptions -> ListLabelingJobsForWorkteamSortByOptions -> Bool #

(<=) :: ListLabelingJobsForWorkteamSortByOptions -> ListLabelingJobsForWorkteamSortByOptions -> Bool #

(>) :: ListLabelingJobsForWorkteamSortByOptions -> ListLabelingJobsForWorkteamSortByOptions -> Bool #

(>=) :: ListLabelingJobsForWorkteamSortByOptions -> ListLabelingJobsForWorkteamSortByOptions -> Bool #

max :: ListLabelingJobsForWorkteamSortByOptions -> ListLabelingJobsForWorkteamSortByOptions -> ListLabelingJobsForWorkteamSortByOptions #

min :: ListLabelingJobsForWorkteamSortByOptions -> ListLabelingJobsForWorkteamSortByOptions -> ListLabelingJobsForWorkteamSortByOptions #

Hashable ListLabelingJobsForWorkteamSortByOptions Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ListLabelingJobsForWorkteamSortByOptions

Methods

hashWithSalt :: Int -> ListLabelingJobsForWorkteamSortByOptions -> Int #

hash :: ListLabelingJobsForWorkteamSortByOptions -> Int #

type Rep ListLabelingJobsForWorkteamSortByOptions Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ListLabelingJobsForWorkteamSortByOptions

type Rep ListLabelingJobsForWorkteamSortByOptions = D1 ('MetaData "ListLabelingJobsForWorkteamSortByOptions" "Amazonka.SageMaker.Types.ListLabelingJobsForWorkteamSortByOptions" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'True) (C1 ('MetaCons "ListLabelingJobsForWorkteamSortByOptions'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromListLabelingJobsForWorkteamSortByOptions") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

ListWorkforcesSortByOptions

newtype ListWorkforcesSortByOptions Source #

Constructors

ListWorkforcesSortByOptions' 

Fields

Bundled Patterns

pattern ListWorkforcesSortByOptions_CreateDate :: ListWorkforcesSortByOptions 
pattern ListWorkforcesSortByOptions_Name :: ListWorkforcesSortByOptions 

Instances

Instances details
FromJSON ListWorkforcesSortByOptions Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ListWorkforcesSortByOptions

Methods

parseJSON :: Value -> Parser ListWorkforcesSortByOptions #

parseJSONList :: Value -> Parser [ListWorkforcesSortByOptions] #

FromJSONKey ListWorkforcesSortByOptions Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ListWorkforcesSortByOptions

Methods

fromJSONKey :: FromJSONKeyFunction ListWorkforcesSortByOptions #

fromJSONKeyList :: FromJSONKeyFunction [ListWorkforcesSortByOptions] #

ToJSON ListWorkforcesSortByOptions Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ListWorkforcesSortByOptions

Methods

toJSON :: ListWorkforcesSortByOptions -> Value #

toEncoding :: ListWorkforcesSortByOptions -> Encoding #

toJSONList :: [ListWorkforcesSortByOptions] -> Value #

toEncodingList :: [ListWorkforcesSortByOptions] -> Encoding #

ToJSONKey ListWorkforcesSortByOptions Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ListWorkforcesSortByOptions

Methods

toJSONKey :: ToJSONKeyFunction ListWorkforcesSortByOptions #

toJSONKeyList :: ToJSONKeyFunction [ListWorkforcesSortByOptions] #

ToByteString ListWorkforcesSortByOptions Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ListWorkforcesSortByOptions

Methods

toBS :: ListWorkforcesSortByOptions -> ByteString #

ToHeader ListWorkforcesSortByOptions Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ListWorkforcesSortByOptions

Methods

toHeader :: HeaderName -> ListWorkforcesSortByOptions -> [Header] #

ToLog ListWorkforcesSortByOptions Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ListWorkforcesSortByOptions

Methods

build :: ListWorkforcesSortByOptions -> ByteStringBuilder #

ToQuery ListWorkforcesSortByOptions Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ListWorkforcesSortByOptions

Methods

toQuery :: ListWorkforcesSortByOptions -> QueryString #

FromText ListWorkforcesSortByOptions Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ListWorkforcesSortByOptions

Methods

fromText :: Text -> Either String ListWorkforcesSortByOptions #

ToText ListWorkforcesSortByOptions Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ListWorkforcesSortByOptions

Methods

toText :: ListWorkforcesSortByOptions -> Text #

FromXML ListWorkforcesSortByOptions Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ListWorkforcesSortByOptions

Methods

parseXML :: [Node] -> Either String ListWorkforcesSortByOptions #

ToXML ListWorkforcesSortByOptions Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ListWorkforcesSortByOptions

Methods

toXML :: ListWorkforcesSortByOptions -> XML #

Generic ListWorkforcesSortByOptions Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ListWorkforcesSortByOptions

Associated Types

type Rep ListWorkforcesSortByOptions :: Type -> Type #

Methods

from :: ListWorkforcesSortByOptions -> Rep ListWorkforcesSortByOptions x #

to :: Rep ListWorkforcesSortByOptions x -> ListWorkforcesSortByOptions #

Read ListWorkforcesSortByOptions Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ListWorkforcesSortByOptions

Methods

readsPrec :: Int -> ReadS ListWorkforcesSortByOptions #

readList :: ReadS [ListWorkforcesSortByOptions] #

readPrec :: ReadPrec ListWorkforcesSortByOptions #

readListPrec :: ReadPrec [ListWorkforcesSortByOptions] #

Show ListWorkforcesSortByOptions Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ListWorkforcesSortByOptions

Methods

showsPrec :: Int -> ListWorkforcesSortByOptions -> ShowS #

show :: ListWorkforcesSortByOptions -> String #

showList :: [ListWorkforcesSortByOptions] -> ShowS #

NFData ListWorkforcesSortByOptions Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ListWorkforcesSortByOptions

Methods

rnf :: ListWorkforcesSortByOptions -> () #

Eq ListWorkforcesSortByOptions Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ListWorkforcesSortByOptions

Methods

(==) :: ListWorkforcesSortByOptions -> ListWorkforcesSortByOptions -> Bool #

(/=) :: ListWorkforcesSortByOptions -> ListWorkforcesSortByOptions -> Bool #

Ord ListWorkforcesSortByOptions Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ListWorkforcesSortByOptions

Methods

compare :: ListWorkforcesSortByOptions -> ListWorkforcesSortByOptions -> Ordering #

(<) :: ListWorkforcesSortByOptions -> ListWorkforcesSortByOptions -> Bool #

(<=) :: ListWorkforcesSortByOptions -> ListWorkforcesSortByOptions -> Bool #

(>) :: ListWorkforcesSortByOptions -> ListWorkforcesSortByOptions -> Bool #

(>=) :: ListWorkforcesSortByOptions -> ListWorkforcesSortByOptions -> Bool #

max :: ListWorkforcesSortByOptions -> ListWorkforcesSortByOptions -> ListWorkforcesSortByOptions #

min :: ListWorkforcesSortByOptions -> ListWorkforcesSortByOptions -> ListWorkforcesSortByOptions #

Hashable ListWorkforcesSortByOptions Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ListWorkforcesSortByOptions

Methods

hashWithSalt :: Int -> ListWorkforcesSortByOptions -> Int #

hash :: ListWorkforcesSortByOptions -> Int #

type Rep ListWorkforcesSortByOptions Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ListWorkforcesSortByOptions

type Rep ListWorkforcesSortByOptions = D1 ('MetaData "ListWorkforcesSortByOptions" "Amazonka.SageMaker.Types.ListWorkforcesSortByOptions" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'True) (C1 ('MetaCons "ListWorkforcesSortByOptions'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromListWorkforcesSortByOptions") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

ListWorkteamsSortByOptions

newtype ListWorkteamsSortByOptions Source #

Constructors

ListWorkteamsSortByOptions' 

Fields

Bundled Patterns

pattern ListWorkteamsSortByOptions_CreateDate :: ListWorkteamsSortByOptions 
pattern ListWorkteamsSortByOptions_Name :: ListWorkteamsSortByOptions 

Instances

Instances details
FromJSON ListWorkteamsSortByOptions Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ListWorkteamsSortByOptions

Methods

parseJSON :: Value -> Parser ListWorkteamsSortByOptions #

parseJSONList :: Value -> Parser [ListWorkteamsSortByOptions] #

FromJSONKey ListWorkteamsSortByOptions Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ListWorkteamsSortByOptions

Methods

fromJSONKey :: FromJSONKeyFunction ListWorkteamsSortByOptions #

fromJSONKeyList :: FromJSONKeyFunction [ListWorkteamsSortByOptions] #

ToJSON ListWorkteamsSortByOptions Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ListWorkteamsSortByOptions

Methods

toJSON :: ListWorkteamsSortByOptions -> Value #

toEncoding :: ListWorkteamsSortByOptions -> Encoding #

toJSONList :: [ListWorkteamsSortByOptions] -> Value #

toEncodingList :: [ListWorkteamsSortByOptions] -> Encoding #

ToJSONKey ListWorkteamsSortByOptions Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ListWorkteamsSortByOptions

Methods

toJSONKey :: ToJSONKeyFunction ListWorkteamsSortByOptions #

toJSONKeyList :: ToJSONKeyFunction [ListWorkteamsSortByOptions] #

ToByteString ListWorkteamsSortByOptions Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ListWorkteamsSortByOptions

Methods

toBS :: ListWorkteamsSortByOptions -> ByteString #

ToHeader ListWorkteamsSortByOptions Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ListWorkteamsSortByOptions

Methods

toHeader :: HeaderName -> ListWorkteamsSortByOptions -> [Header] #

ToLog ListWorkteamsSortByOptions Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ListWorkteamsSortByOptions

Methods

build :: ListWorkteamsSortByOptions -> ByteStringBuilder #

ToQuery ListWorkteamsSortByOptions Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ListWorkteamsSortByOptions

Methods

toQuery :: ListWorkteamsSortByOptions -> QueryString #

FromText ListWorkteamsSortByOptions Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ListWorkteamsSortByOptions

Methods

fromText :: Text -> Either String ListWorkteamsSortByOptions #

ToText ListWorkteamsSortByOptions Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ListWorkteamsSortByOptions

Methods

toText :: ListWorkteamsSortByOptions -> Text #

FromXML ListWorkteamsSortByOptions Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ListWorkteamsSortByOptions

Methods

parseXML :: [Node] -> Either String ListWorkteamsSortByOptions #

ToXML ListWorkteamsSortByOptions Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ListWorkteamsSortByOptions

Methods

toXML :: ListWorkteamsSortByOptions -> XML #

Generic ListWorkteamsSortByOptions Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ListWorkteamsSortByOptions

Associated Types

type Rep ListWorkteamsSortByOptions :: Type -> Type #

Methods

from :: ListWorkteamsSortByOptions -> Rep ListWorkteamsSortByOptions x #

to :: Rep ListWorkteamsSortByOptions x -> ListWorkteamsSortByOptions #

Read ListWorkteamsSortByOptions Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ListWorkteamsSortByOptions

Methods

readsPrec :: Int -> ReadS ListWorkteamsSortByOptions #

readList :: ReadS [ListWorkteamsSortByOptions] #

readPrec :: ReadPrec ListWorkteamsSortByOptions #

readListPrec :: ReadPrec [ListWorkteamsSortByOptions] #

Show ListWorkteamsSortByOptions Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ListWorkteamsSortByOptions

Methods

showsPrec :: Int -> ListWorkteamsSortByOptions -> ShowS #

show :: ListWorkteamsSortByOptions -> String #

showList :: [ListWorkteamsSortByOptions] -> ShowS #

NFData ListWorkteamsSortByOptions Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ListWorkteamsSortByOptions

Methods

rnf :: ListWorkteamsSortByOptions -> () #

Eq ListWorkteamsSortByOptions Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ListWorkteamsSortByOptions

Methods

(==) :: ListWorkteamsSortByOptions -> ListWorkteamsSortByOptions -> Bool #

(/=) :: ListWorkteamsSortByOptions -> ListWorkteamsSortByOptions -> Bool #

Ord ListWorkteamsSortByOptions Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ListWorkteamsSortByOptions

Methods

compare :: ListWorkteamsSortByOptions -> ListWorkteamsSortByOptions -> Ordering #

(<) :: ListWorkteamsSortByOptions -> ListWorkteamsSortByOptions -> Bool #

(<=) :: ListWorkteamsSortByOptions -> ListWorkteamsSortByOptions -> Bool #

(>) :: ListWorkteamsSortByOptions -> ListWorkteamsSortByOptions -> Bool #

(>=) :: ListWorkteamsSortByOptions -> ListWorkteamsSortByOptions -> Bool #

max :: ListWorkteamsSortByOptions -> ListWorkteamsSortByOptions -> ListWorkteamsSortByOptions #

min :: ListWorkteamsSortByOptions -> ListWorkteamsSortByOptions -> ListWorkteamsSortByOptions #

Hashable ListWorkteamsSortByOptions Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ListWorkteamsSortByOptions

Methods

hashWithSalt :: Int -> ListWorkteamsSortByOptions -> Int #

hash :: ListWorkteamsSortByOptions -> Int #

type Rep ListWorkteamsSortByOptions Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ListWorkteamsSortByOptions

type Rep ListWorkteamsSortByOptions = D1 ('MetaData "ListWorkteamsSortByOptions" "Amazonka.SageMaker.Types.ListWorkteamsSortByOptions" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'True) (C1 ('MetaCons "ListWorkteamsSortByOptions'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromListWorkteamsSortByOptions") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

MetricSetSource

newtype MetricSetSource Source #

Constructors

MetricSetSource' 

Fields

Bundled Patterns

pattern MetricSetSource_Test :: MetricSetSource 
pattern MetricSetSource_Train :: MetricSetSource 
pattern MetricSetSource_Validation :: MetricSetSource 

Instances

Instances details
FromJSON MetricSetSource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MetricSetSource

Methods

parseJSON :: Value -> Parser MetricSetSource #

parseJSONList :: Value -> Parser [MetricSetSource] #

FromJSONKey MetricSetSource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MetricSetSource

Methods

fromJSONKey :: FromJSONKeyFunction MetricSetSource #

fromJSONKeyList :: FromJSONKeyFunction [MetricSetSource] #

ToJSON MetricSetSource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MetricSetSource

Methods

toJSON :: MetricSetSource -> Value #

toEncoding :: MetricSetSource -> Encoding #

toJSONList :: [MetricSetSource] -> Value #

toEncodingList :: [MetricSetSource] -> Encoding #

ToJSONKey MetricSetSource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MetricSetSource

Methods

toJSONKey :: ToJSONKeyFunction MetricSetSource #

toJSONKeyList :: ToJSONKeyFunction [MetricSetSource] #

ToByteString MetricSetSource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MetricSetSource

Methods

toBS :: MetricSetSource -> ByteString #

ToHeader MetricSetSource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MetricSetSource

Methods

toHeader :: HeaderName -> MetricSetSource -> [Header] #

ToLog MetricSetSource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MetricSetSource

Methods

build :: MetricSetSource -> ByteStringBuilder #

ToQuery MetricSetSource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MetricSetSource

Methods

toQuery :: MetricSetSource -> QueryString #

FromText MetricSetSource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MetricSetSource

Methods

fromText :: Text -> Either String MetricSetSource #

ToText MetricSetSource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MetricSetSource

Methods

toText :: MetricSetSource -> Text #

FromXML MetricSetSource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MetricSetSource

Methods

parseXML :: [Node] -> Either String MetricSetSource #

ToXML MetricSetSource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MetricSetSource

Methods

toXML :: MetricSetSource -> XML #

Generic MetricSetSource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MetricSetSource

Associated Types

type Rep MetricSetSource :: Type -> Type #

Methods

from :: MetricSetSource -> Rep MetricSetSource x #

to :: Rep MetricSetSource x -> MetricSetSource #

Read MetricSetSource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MetricSetSource

Methods

readsPrec :: Int -> ReadS MetricSetSource #

readList :: ReadS [MetricSetSource] #

readPrec :: ReadPrec MetricSetSource #

readListPrec :: ReadPrec [MetricSetSource] #

Show MetricSetSource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MetricSetSource

Methods

showsPrec :: Int -> MetricSetSource -> ShowS #

show :: MetricSetSource -> String #

showList :: [MetricSetSource] -> ShowS #

NFData MetricSetSource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MetricSetSource

Methods

rnf :: MetricSetSource -> () #

Eq MetricSetSource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MetricSetSource

Methods

(==) :: MetricSetSource -> MetricSetSource -> Bool #

(/=) :: MetricSetSource -> MetricSetSource -> Bool #

Ord MetricSetSource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MetricSetSource

Methods

compare :: MetricSetSource -> MetricSetSource -> Ordering #

(<) :: MetricSetSource -> MetricSetSource -> Bool #

(<=) :: MetricSetSource -> MetricSetSource -> Bool #

(>) :: MetricSetSource -> MetricSetSource -> Bool #

(>=) :: MetricSetSource -> MetricSetSource -> Bool #

max :: MetricSetSource -> MetricSetSource -> MetricSetSource #

min :: MetricSetSource -> MetricSetSource -> MetricSetSource #

Hashable MetricSetSource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MetricSetSource

Methods

hashWithSalt :: Int -> MetricSetSource -> Int #

hash :: MetricSetSource -> Int #

type Rep MetricSetSource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MetricSetSource

type Rep MetricSetSource = D1 ('MetaData "MetricSetSource" "Amazonka.SageMaker.Types.MetricSetSource" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'True) (C1 ('MetaCons "MetricSetSource'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromMetricSetSource") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

ModelApprovalStatus

newtype ModelApprovalStatus Source #

Constructors

ModelApprovalStatus' 

Fields

Bundled Patterns

pattern ModelApprovalStatus_Approved :: ModelApprovalStatus 
pattern ModelApprovalStatus_PendingManualApproval :: ModelApprovalStatus 
pattern ModelApprovalStatus_Rejected :: ModelApprovalStatus 

Instances

Instances details
FromJSON ModelApprovalStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelApprovalStatus

Methods

parseJSON :: Value -> Parser ModelApprovalStatus #

parseJSONList :: Value -> Parser [ModelApprovalStatus] #

FromJSONKey ModelApprovalStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelApprovalStatus

Methods

fromJSONKey :: FromJSONKeyFunction ModelApprovalStatus #

fromJSONKeyList :: FromJSONKeyFunction [ModelApprovalStatus] #

ToJSON ModelApprovalStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelApprovalStatus

Methods

toJSON :: ModelApprovalStatus -> Value #

toEncoding :: ModelApprovalStatus -> Encoding #

toJSONList :: [ModelApprovalStatus] -> Value #

toEncodingList :: [ModelApprovalStatus] -> Encoding #

ToJSONKey ModelApprovalStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelApprovalStatus

Methods

toJSONKey :: ToJSONKeyFunction ModelApprovalStatus #

toJSONKeyList :: ToJSONKeyFunction [ModelApprovalStatus] #

ToByteString ModelApprovalStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelApprovalStatus

Methods

toBS :: ModelApprovalStatus -> ByteString #

ToHeader ModelApprovalStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelApprovalStatus

Methods

toHeader :: HeaderName -> ModelApprovalStatus -> [Header] #

ToLog ModelApprovalStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelApprovalStatus

Methods

build :: ModelApprovalStatus -> ByteStringBuilder #

ToQuery ModelApprovalStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelApprovalStatus

Methods

toQuery :: ModelApprovalStatus -> QueryString #

FromText ModelApprovalStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelApprovalStatus

Methods

fromText :: Text -> Either String ModelApprovalStatus #

ToText ModelApprovalStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelApprovalStatus

Methods

toText :: ModelApprovalStatus -> Text #

FromXML ModelApprovalStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelApprovalStatus

Methods

parseXML :: [Node] -> Either String ModelApprovalStatus #

ToXML ModelApprovalStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelApprovalStatus

Methods

toXML :: ModelApprovalStatus -> XML #

Generic ModelApprovalStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelApprovalStatus

Associated Types

type Rep ModelApprovalStatus :: Type -> Type #

Methods

from :: ModelApprovalStatus -> Rep ModelApprovalStatus x #

to :: Rep ModelApprovalStatus x -> ModelApprovalStatus #

Read ModelApprovalStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelApprovalStatus

Methods

readsPrec :: Int -> ReadS ModelApprovalStatus #

readList :: ReadS [ModelApprovalStatus] #

readPrec :: ReadPrec ModelApprovalStatus #

readListPrec :: ReadPrec [ModelApprovalStatus] #

Show ModelApprovalStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelApprovalStatus

Methods

showsPrec :: Int -> ModelApprovalStatus -> ShowS #

show :: ModelApprovalStatus -> String #

showList :: [ModelApprovalStatus] -> ShowS #

NFData ModelApprovalStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelApprovalStatus

Methods

rnf :: ModelApprovalStatus -> () #

Eq ModelApprovalStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelApprovalStatus

Methods

(==) :: ModelApprovalStatus -> ModelApprovalStatus -> Bool #

(/=) :: ModelApprovalStatus -> ModelApprovalStatus -> Bool #

Ord ModelApprovalStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelApprovalStatus

Methods

compare :: ModelApprovalStatus -> ModelApprovalStatus -> Ordering #

(<) :: ModelApprovalStatus -> ModelApprovalStatus -> Bool #

(<=) :: ModelApprovalStatus -> ModelApprovalStatus -> Bool #

(>) :: ModelApprovalStatus -> ModelApprovalStatus -> Bool #

(>=) :: ModelApprovalStatus -> ModelApprovalStatus -> Bool #

max :: ModelApprovalStatus -> ModelApprovalStatus -> ModelApprovalStatus #

min :: ModelApprovalStatus -> ModelApprovalStatus -> ModelApprovalStatus #

Hashable ModelApprovalStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelApprovalStatus

Methods

hashWithSalt :: Int -> ModelApprovalStatus -> Int #

hash :: ModelApprovalStatus -> Int #

type Rep ModelApprovalStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelApprovalStatus

type Rep ModelApprovalStatus = D1 ('MetaData "ModelApprovalStatus" "Amazonka.SageMaker.Types.ModelApprovalStatus" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'True) (C1 ('MetaCons "ModelApprovalStatus'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromModelApprovalStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

ModelCacheSetting

newtype ModelCacheSetting Source #

Constructors

ModelCacheSetting' 

Fields

Bundled Patterns

pattern ModelCacheSetting_Disabled :: ModelCacheSetting 
pattern ModelCacheSetting_Enabled :: ModelCacheSetting 

Instances

Instances details
FromJSON ModelCacheSetting Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCacheSetting

Methods

parseJSON :: Value -> Parser ModelCacheSetting #

parseJSONList :: Value -> Parser [ModelCacheSetting] #

FromJSONKey ModelCacheSetting Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCacheSetting

Methods

fromJSONKey :: FromJSONKeyFunction ModelCacheSetting #

fromJSONKeyList :: FromJSONKeyFunction [ModelCacheSetting] #

ToJSON ModelCacheSetting Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCacheSetting

Methods

toJSON :: ModelCacheSetting -> Value #

toEncoding :: ModelCacheSetting -> Encoding #

toJSONList :: [ModelCacheSetting] -> Value #

toEncodingList :: [ModelCacheSetting] -> Encoding #

ToJSONKey ModelCacheSetting Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCacheSetting

Methods

toJSONKey :: ToJSONKeyFunction ModelCacheSetting #

toJSONKeyList :: ToJSONKeyFunction [ModelCacheSetting] #

ToByteString ModelCacheSetting Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCacheSetting

Methods

toBS :: ModelCacheSetting -> ByteString #

ToHeader ModelCacheSetting Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCacheSetting

Methods

toHeader :: HeaderName -> ModelCacheSetting -> [Header] #

ToLog ModelCacheSetting Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCacheSetting

Methods

build :: ModelCacheSetting -> ByteStringBuilder #

ToQuery ModelCacheSetting Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCacheSetting

Methods

toQuery :: ModelCacheSetting -> QueryString #

FromText ModelCacheSetting Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCacheSetting

Methods

fromText :: Text -> Either String ModelCacheSetting #

ToText ModelCacheSetting Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCacheSetting

Methods

toText :: ModelCacheSetting -> Text #

FromXML ModelCacheSetting Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCacheSetting

Methods

parseXML :: [Node] -> Either String ModelCacheSetting #

ToXML ModelCacheSetting Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCacheSetting

Methods

toXML :: ModelCacheSetting -> XML #

Generic ModelCacheSetting Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCacheSetting

Associated Types

type Rep ModelCacheSetting :: Type -> Type #

Methods

from :: ModelCacheSetting -> Rep ModelCacheSetting x #

to :: Rep ModelCacheSetting x -> ModelCacheSetting #

Read ModelCacheSetting Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCacheSetting

Methods

readsPrec :: Int -> ReadS ModelCacheSetting #

readList :: ReadS [ModelCacheSetting] #

readPrec :: ReadPrec ModelCacheSetting #

readListPrec :: ReadPrec [ModelCacheSetting] #

Show ModelCacheSetting Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCacheSetting

Methods

showsPrec :: Int -> ModelCacheSetting -> ShowS #

show :: ModelCacheSetting -> String #

showList :: [ModelCacheSetting] -> ShowS #

NFData ModelCacheSetting Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCacheSetting

Methods

rnf :: ModelCacheSetting -> () #

Eq ModelCacheSetting Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCacheSetting

Methods

(==) :: ModelCacheSetting -> ModelCacheSetting -> Bool #

(/=) :: ModelCacheSetting -> ModelCacheSetting -> Bool #

Ord ModelCacheSetting Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCacheSetting

Methods

compare :: ModelCacheSetting -> ModelCacheSetting -> Ordering #

(<) :: ModelCacheSetting -> ModelCacheSetting -> Bool #

(<=) :: ModelCacheSetting -> ModelCacheSetting -> Bool #

(>) :: ModelCacheSetting -> ModelCacheSetting -> Bool #

(>=) :: ModelCacheSetting -> ModelCacheSetting -> Bool #

max :: ModelCacheSetting -> ModelCacheSetting -> ModelCacheSetting #

min :: ModelCacheSetting -> ModelCacheSetting -> ModelCacheSetting #

Hashable ModelCacheSetting Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCacheSetting

Methods

hashWithSalt :: Int -> ModelCacheSetting -> Int #

hash :: ModelCacheSetting -> Int #

type Rep ModelCacheSetting Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCacheSetting

type Rep ModelCacheSetting = D1 ('MetaData "ModelCacheSetting" "Amazonka.SageMaker.Types.ModelCacheSetting" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'True) (C1 ('MetaCons "ModelCacheSetting'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromModelCacheSetting") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

ModelCardExportJobSortBy

newtype ModelCardExportJobSortBy Source #

Attribute by which to sort returned export jobs.

Constructors

ModelCardExportJobSortBy' 

Fields

Bundled Patterns

pattern ModelCardExportJobSortBy_CreationTime :: ModelCardExportJobSortBy 
pattern ModelCardExportJobSortBy_Name :: ModelCardExportJobSortBy 
pattern ModelCardExportJobSortBy_Status :: ModelCardExportJobSortBy 

Instances

Instances details
FromJSON ModelCardExportJobSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCardExportJobSortBy

Methods

parseJSON :: Value -> Parser ModelCardExportJobSortBy #

parseJSONList :: Value -> Parser [ModelCardExportJobSortBy] #

FromJSONKey ModelCardExportJobSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCardExportJobSortBy

Methods

fromJSONKey :: FromJSONKeyFunction ModelCardExportJobSortBy #

fromJSONKeyList :: FromJSONKeyFunction [ModelCardExportJobSortBy] #

ToJSON ModelCardExportJobSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCardExportJobSortBy

Methods

toJSON :: ModelCardExportJobSortBy -> Value #

toEncoding :: ModelCardExportJobSortBy -> Encoding #

toJSONList :: [ModelCardExportJobSortBy] -> Value #

toEncodingList :: [ModelCardExportJobSortBy] -> Encoding #

ToJSONKey ModelCardExportJobSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCardExportJobSortBy

Methods

toJSONKey :: ToJSONKeyFunction ModelCardExportJobSortBy #

toJSONKeyList :: ToJSONKeyFunction [ModelCardExportJobSortBy] #

ToByteString ModelCardExportJobSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCardExportJobSortBy

Methods

toBS :: ModelCardExportJobSortBy -> ByteString #

ToHeader ModelCardExportJobSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCardExportJobSortBy

Methods

toHeader :: HeaderName -> ModelCardExportJobSortBy -> [Header] #

ToLog ModelCardExportJobSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCardExportJobSortBy

Methods

build :: ModelCardExportJobSortBy -> ByteStringBuilder #

ToQuery ModelCardExportJobSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCardExportJobSortBy

Methods

toQuery :: ModelCardExportJobSortBy -> QueryString #

FromText ModelCardExportJobSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCardExportJobSortBy

Methods

fromText :: Text -> Either String ModelCardExportJobSortBy #

ToText ModelCardExportJobSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCardExportJobSortBy

Methods

toText :: ModelCardExportJobSortBy -> Text #

FromXML ModelCardExportJobSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCardExportJobSortBy

Methods

parseXML :: [Node] -> Either String ModelCardExportJobSortBy #

ToXML ModelCardExportJobSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCardExportJobSortBy

Methods

toXML :: ModelCardExportJobSortBy -> XML #

Generic ModelCardExportJobSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCardExportJobSortBy

Associated Types

type Rep ModelCardExportJobSortBy :: Type -> Type #

Methods

from :: ModelCardExportJobSortBy -> Rep ModelCardExportJobSortBy x #

to :: Rep ModelCardExportJobSortBy x -> ModelCardExportJobSortBy #

Read ModelCardExportJobSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCardExportJobSortBy

Methods

readsPrec :: Int -> ReadS ModelCardExportJobSortBy #

readList :: ReadS [ModelCardExportJobSortBy] #

readPrec :: ReadPrec ModelCardExportJobSortBy #

readListPrec :: ReadPrec [ModelCardExportJobSortBy] #

Show ModelCardExportJobSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCardExportJobSortBy

Methods

showsPrec :: Int -> ModelCardExportJobSortBy -> ShowS #

show :: ModelCardExportJobSortBy -> String #

showList :: [ModelCardExportJobSortBy] -> ShowS #

NFData ModelCardExportJobSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCardExportJobSortBy

Methods

rnf :: ModelCardExportJobSortBy -> () #

Eq ModelCardExportJobSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCardExportJobSortBy

Methods

(==) :: ModelCardExportJobSortBy -> ModelCardExportJobSortBy -> Bool #

(/=) :: ModelCardExportJobSortBy -> ModelCardExportJobSortBy -> Bool #

Ord ModelCardExportJobSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCardExportJobSortBy

Methods

compare :: ModelCardExportJobSortBy -> ModelCardExportJobSortBy -> Ordering #

(<) :: ModelCardExportJobSortBy -> ModelCardExportJobSortBy -> Bool #

(<=) :: ModelCardExportJobSortBy -> ModelCardExportJobSortBy -> Bool #

(>) :: ModelCardExportJobSortBy -> ModelCardExportJobSortBy -> Bool #

(>=) :: ModelCardExportJobSortBy -> ModelCardExportJobSortBy -> Bool #

max :: ModelCardExportJobSortBy -> ModelCardExportJobSortBy -> ModelCardExportJobSortBy #

min :: ModelCardExportJobSortBy -> ModelCardExportJobSortBy -> ModelCardExportJobSortBy #

Hashable ModelCardExportJobSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCardExportJobSortBy

Methods

hashWithSalt :: Int -> ModelCardExportJobSortBy -> Int #

hash :: ModelCardExportJobSortBy -> Int #

type Rep ModelCardExportJobSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCardExportJobSortBy

type Rep ModelCardExportJobSortBy = D1 ('MetaData "ModelCardExportJobSortBy" "Amazonka.SageMaker.Types.ModelCardExportJobSortBy" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'True) (C1 ('MetaCons "ModelCardExportJobSortBy'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromModelCardExportJobSortBy") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

ModelCardExportJobSortOrder

newtype ModelCardExportJobSortOrder Source #

Constructors

ModelCardExportJobSortOrder' 

Fields

Bundled Patterns

pattern ModelCardExportJobSortOrder_Ascending :: ModelCardExportJobSortOrder 
pattern ModelCardExportJobSortOrder_Descending :: ModelCardExportJobSortOrder 

Instances

Instances details
FromJSON ModelCardExportJobSortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCardExportJobSortOrder

Methods

parseJSON :: Value -> Parser ModelCardExportJobSortOrder #

parseJSONList :: Value -> Parser [ModelCardExportJobSortOrder] #

FromJSONKey ModelCardExportJobSortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCardExportJobSortOrder

Methods

fromJSONKey :: FromJSONKeyFunction ModelCardExportJobSortOrder #

fromJSONKeyList :: FromJSONKeyFunction [ModelCardExportJobSortOrder] #

ToJSON ModelCardExportJobSortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCardExportJobSortOrder

Methods

toJSON :: ModelCardExportJobSortOrder -> Value #

toEncoding :: ModelCardExportJobSortOrder -> Encoding #

toJSONList :: [ModelCardExportJobSortOrder] -> Value #

toEncodingList :: [ModelCardExportJobSortOrder] -> Encoding #

ToJSONKey ModelCardExportJobSortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCardExportJobSortOrder

Methods

toJSONKey :: ToJSONKeyFunction ModelCardExportJobSortOrder #

toJSONKeyList :: ToJSONKeyFunction [ModelCardExportJobSortOrder] #

ToByteString ModelCardExportJobSortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCardExportJobSortOrder

Methods

toBS :: ModelCardExportJobSortOrder -> ByteString #

ToHeader ModelCardExportJobSortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCardExportJobSortOrder

Methods

toHeader :: HeaderName -> ModelCardExportJobSortOrder -> [Header] #

ToLog ModelCardExportJobSortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCardExportJobSortOrder

Methods

build :: ModelCardExportJobSortOrder -> ByteStringBuilder #

ToQuery ModelCardExportJobSortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCardExportJobSortOrder

Methods

toQuery :: ModelCardExportJobSortOrder -> QueryString #

FromText ModelCardExportJobSortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCardExportJobSortOrder

Methods

fromText :: Text -> Either String ModelCardExportJobSortOrder #

ToText ModelCardExportJobSortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCardExportJobSortOrder

Methods

toText :: ModelCardExportJobSortOrder -> Text #

FromXML ModelCardExportJobSortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCardExportJobSortOrder

Methods

parseXML :: [Node] -> Either String ModelCardExportJobSortOrder #

ToXML ModelCardExportJobSortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCardExportJobSortOrder

Methods

toXML :: ModelCardExportJobSortOrder -> XML #

Generic ModelCardExportJobSortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCardExportJobSortOrder

Associated Types

type Rep ModelCardExportJobSortOrder :: Type -> Type #

Methods

from :: ModelCardExportJobSortOrder -> Rep ModelCardExportJobSortOrder x #

to :: Rep ModelCardExportJobSortOrder x -> ModelCardExportJobSortOrder #

Read ModelCardExportJobSortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCardExportJobSortOrder

Methods

readsPrec :: Int -> ReadS ModelCardExportJobSortOrder #

readList :: ReadS [ModelCardExportJobSortOrder] #

readPrec :: ReadPrec ModelCardExportJobSortOrder #

readListPrec :: ReadPrec [ModelCardExportJobSortOrder] #

Show ModelCardExportJobSortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCardExportJobSortOrder

Methods

showsPrec :: Int -> ModelCardExportJobSortOrder -> ShowS #

show :: ModelCardExportJobSortOrder -> String #

showList :: [ModelCardExportJobSortOrder] -> ShowS #

NFData ModelCardExportJobSortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCardExportJobSortOrder

Methods

rnf :: ModelCardExportJobSortOrder -> () #

Eq ModelCardExportJobSortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCardExportJobSortOrder

Methods

(==) :: ModelCardExportJobSortOrder -> ModelCardExportJobSortOrder -> Bool #

(/=) :: ModelCardExportJobSortOrder -> ModelCardExportJobSortOrder -> Bool #

Ord ModelCardExportJobSortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCardExportJobSortOrder

Methods

compare :: ModelCardExportJobSortOrder -> ModelCardExportJobSortOrder -> Ordering #

(<) :: ModelCardExportJobSortOrder -> ModelCardExportJobSortOrder -> Bool #

(<=) :: ModelCardExportJobSortOrder -> ModelCardExportJobSortOrder -> Bool #

(>) :: ModelCardExportJobSortOrder -> ModelCardExportJobSortOrder -> Bool #

(>=) :: ModelCardExportJobSortOrder -> ModelCardExportJobSortOrder -> Bool #

max :: ModelCardExportJobSortOrder -> ModelCardExportJobSortOrder -> ModelCardExportJobSortOrder #

min :: ModelCardExportJobSortOrder -> ModelCardExportJobSortOrder -> ModelCardExportJobSortOrder #

Hashable ModelCardExportJobSortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCardExportJobSortOrder

Methods

hashWithSalt :: Int -> ModelCardExportJobSortOrder -> Int #

hash :: ModelCardExportJobSortOrder -> Int #

type Rep ModelCardExportJobSortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCardExportJobSortOrder

type Rep ModelCardExportJobSortOrder = D1 ('MetaData "ModelCardExportJobSortOrder" "Amazonka.SageMaker.Types.ModelCardExportJobSortOrder" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'True) (C1 ('MetaCons "ModelCardExportJobSortOrder'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromModelCardExportJobSortOrder") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

ModelCardExportJobStatus

newtype ModelCardExportJobStatus Source #

Constructors

ModelCardExportJobStatus' 

Fields

Bundled Patterns

pattern ModelCardExportJobStatus_Completed :: ModelCardExportJobStatus 
pattern ModelCardExportJobStatus_Failed :: ModelCardExportJobStatus 
pattern ModelCardExportJobStatus_InProgress :: ModelCardExportJobStatus 

Instances

Instances details
FromJSON ModelCardExportJobStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCardExportJobStatus

Methods

parseJSON :: Value -> Parser ModelCardExportJobStatus #

parseJSONList :: Value -> Parser [ModelCardExportJobStatus] #

FromJSONKey ModelCardExportJobStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCardExportJobStatus

Methods

fromJSONKey :: FromJSONKeyFunction ModelCardExportJobStatus #

fromJSONKeyList :: FromJSONKeyFunction [ModelCardExportJobStatus] #

ToJSON ModelCardExportJobStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCardExportJobStatus

Methods

toJSON :: ModelCardExportJobStatus -> Value #

toEncoding :: ModelCardExportJobStatus -> Encoding #

toJSONList :: [ModelCardExportJobStatus] -> Value #

toEncodingList :: [ModelCardExportJobStatus] -> Encoding #

ToJSONKey ModelCardExportJobStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCardExportJobStatus

Methods

toJSONKey :: ToJSONKeyFunction ModelCardExportJobStatus #

toJSONKeyList :: ToJSONKeyFunction [ModelCardExportJobStatus] #

ToByteString ModelCardExportJobStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCardExportJobStatus

Methods

toBS :: ModelCardExportJobStatus -> ByteString #

ToHeader ModelCardExportJobStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCardExportJobStatus

Methods

toHeader :: HeaderName -> ModelCardExportJobStatus -> [Header] #

ToLog ModelCardExportJobStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCardExportJobStatus

Methods

build :: ModelCardExportJobStatus -> ByteStringBuilder #

ToQuery ModelCardExportJobStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCardExportJobStatus

Methods

toQuery :: ModelCardExportJobStatus -> QueryString #

FromText ModelCardExportJobStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCardExportJobStatus

Methods

fromText :: Text -> Either String ModelCardExportJobStatus #

ToText ModelCardExportJobStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCardExportJobStatus

Methods

toText :: ModelCardExportJobStatus -> Text #

FromXML ModelCardExportJobStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCardExportJobStatus

Methods

parseXML :: [Node] -> Either String ModelCardExportJobStatus #

ToXML ModelCardExportJobStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCardExportJobStatus

Methods

toXML :: ModelCardExportJobStatus -> XML #

Generic ModelCardExportJobStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCardExportJobStatus

Associated Types

type Rep ModelCardExportJobStatus :: Type -> Type #

Methods

from :: ModelCardExportJobStatus -> Rep ModelCardExportJobStatus x #

to :: Rep ModelCardExportJobStatus x -> ModelCardExportJobStatus #

Read ModelCardExportJobStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCardExportJobStatus

Methods

readsPrec :: Int -> ReadS ModelCardExportJobStatus #

readList :: ReadS [ModelCardExportJobStatus] #

readPrec :: ReadPrec ModelCardExportJobStatus #

readListPrec :: ReadPrec [ModelCardExportJobStatus] #

Show ModelCardExportJobStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCardExportJobStatus

Methods

showsPrec :: Int -> ModelCardExportJobStatus -> ShowS #

show :: ModelCardExportJobStatus -> String #

showList :: [ModelCardExportJobStatus] -> ShowS #

NFData ModelCardExportJobStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCardExportJobStatus

Methods

rnf :: ModelCardExportJobStatus -> () #

Eq ModelCardExportJobStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCardExportJobStatus

Methods

(==) :: ModelCardExportJobStatus -> ModelCardExportJobStatus -> Bool #

(/=) :: ModelCardExportJobStatus -> ModelCardExportJobStatus -> Bool #

Ord ModelCardExportJobStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCardExportJobStatus

Methods

compare :: ModelCardExportJobStatus -> ModelCardExportJobStatus -> Ordering #

(<) :: ModelCardExportJobStatus -> ModelCardExportJobStatus -> Bool #

(<=) :: ModelCardExportJobStatus -> ModelCardExportJobStatus -> Bool #

(>) :: ModelCardExportJobStatus -> ModelCardExportJobStatus -> Bool #

(>=) :: ModelCardExportJobStatus -> ModelCardExportJobStatus -> Bool #

max :: ModelCardExportJobStatus -> ModelCardExportJobStatus -> ModelCardExportJobStatus #

min :: ModelCardExportJobStatus -> ModelCardExportJobStatus -> ModelCardExportJobStatus #

Hashable ModelCardExportJobStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCardExportJobStatus

Methods

hashWithSalt :: Int -> ModelCardExportJobStatus -> Int #

hash :: ModelCardExportJobStatus -> Int #

type Rep ModelCardExportJobStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCardExportJobStatus

type Rep ModelCardExportJobStatus = D1 ('MetaData "ModelCardExportJobStatus" "Amazonka.SageMaker.Types.ModelCardExportJobStatus" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'True) (C1 ('MetaCons "ModelCardExportJobStatus'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromModelCardExportJobStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

ModelCardProcessingStatus

newtype ModelCardProcessingStatus Source #

Constructors

ModelCardProcessingStatus' 

Fields

Bundled Patterns

pattern ModelCardProcessingStatus_ContentDeleted :: ModelCardProcessingStatus 
pattern ModelCardProcessingStatus_DeleteCompleted :: ModelCardProcessingStatus 
pattern ModelCardProcessingStatus_DeleteFailed :: ModelCardProcessingStatus 
pattern ModelCardProcessingStatus_DeleteInProgress :: ModelCardProcessingStatus 
pattern ModelCardProcessingStatus_DeletePending :: ModelCardProcessingStatus 
pattern ModelCardProcessingStatus_ExportJobsDeleted :: ModelCardProcessingStatus 

Instances

Instances details
FromJSON ModelCardProcessingStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCardProcessingStatus

Methods

parseJSON :: Value -> Parser ModelCardProcessingStatus #

parseJSONList :: Value -> Parser [ModelCardProcessingStatus] #

FromJSONKey ModelCardProcessingStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCardProcessingStatus

Methods

fromJSONKey :: FromJSONKeyFunction ModelCardProcessingStatus #

fromJSONKeyList :: FromJSONKeyFunction [ModelCardProcessingStatus] #

ToJSON ModelCardProcessingStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCardProcessingStatus

Methods

toJSON :: ModelCardProcessingStatus -> Value #

toEncoding :: ModelCardProcessingStatus -> Encoding #

toJSONList :: [ModelCardProcessingStatus] -> Value #

toEncodingList :: [ModelCardProcessingStatus] -> Encoding #

ToJSONKey ModelCardProcessingStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCardProcessingStatus

Methods

toJSONKey :: ToJSONKeyFunction ModelCardProcessingStatus #

toJSONKeyList :: ToJSONKeyFunction [ModelCardProcessingStatus] #

ToByteString ModelCardProcessingStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCardProcessingStatus

Methods

toBS :: ModelCardProcessingStatus -> ByteString #

ToHeader ModelCardProcessingStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCardProcessingStatus

Methods

toHeader :: HeaderName -> ModelCardProcessingStatus -> [Header] #

ToLog ModelCardProcessingStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCardProcessingStatus

Methods

build :: ModelCardProcessingStatus -> ByteStringBuilder #

ToQuery ModelCardProcessingStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCardProcessingStatus

Methods

toQuery :: ModelCardProcessingStatus -> QueryString #

FromText ModelCardProcessingStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCardProcessingStatus

Methods

fromText :: Text -> Either String ModelCardProcessingStatus #

ToText ModelCardProcessingStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCardProcessingStatus

Methods

toText :: ModelCardProcessingStatus -> Text #

FromXML ModelCardProcessingStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCardProcessingStatus

Methods

parseXML :: [Node] -> Either String ModelCardProcessingStatus #

ToXML ModelCardProcessingStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCardProcessingStatus

Methods

toXML :: ModelCardProcessingStatus -> XML #

Generic ModelCardProcessingStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCardProcessingStatus

Associated Types

type Rep ModelCardProcessingStatus :: Type -> Type #

Methods

from :: ModelCardProcessingStatus -> Rep ModelCardProcessingStatus x #

to :: Rep ModelCardProcessingStatus x -> ModelCardProcessingStatus #

Read ModelCardProcessingStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCardProcessingStatus

Methods

readsPrec :: Int -> ReadS ModelCardProcessingStatus #

readList :: ReadS [ModelCardProcessingStatus] #

readPrec :: ReadPrec ModelCardProcessingStatus #

readListPrec :: ReadPrec [ModelCardProcessingStatus] #

Show ModelCardProcessingStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCardProcessingStatus

Methods

showsPrec :: Int -> ModelCardProcessingStatus -> ShowS #

show :: ModelCardProcessingStatus -> String #

showList :: [ModelCardProcessingStatus] -> ShowS #

NFData ModelCardProcessingStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCardProcessingStatus

Methods

rnf :: ModelCardProcessingStatus -> () #

Eq ModelCardProcessingStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCardProcessingStatus

Methods

(==) :: ModelCardProcessingStatus -> ModelCardProcessingStatus -> Bool #

(/=) :: ModelCardProcessingStatus -> ModelCardProcessingStatus -> Bool #

Ord ModelCardProcessingStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCardProcessingStatus

Methods

compare :: ModelCardProcessingStatus -> ModelCardProcessingStatus -> Ordering #

(<) :: ModelCardProcessingStatus -> ModelCardProcessingStatus -> Bool #

(<=) :: ModelCardProcessingStatus -> ModelCardProcessingStatus -> Bool #

(>) :: ModelCardProcessingStatus -> ModelCardProcessingStatus -> Bool #

(>=) :: ModelCardProcessingStatus -> ModelCardProcessingStatus -> Bool #

max :: ModelCardProcessingStatus -> ModelCardProcessingStatus -> ModelCardProcessingStatus #

min :: ModelCardProcessingStatus -> ModelCardProcessingStatus -> ModelCardProcessingStatus #

Hashable ModelCardProcessingStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCardProcessingStatus

Methods

hashWithSalt :: Int -> ModelCardProcessingStatus -> Int #

hash :: ModelCardProcessingStatus -> Int #

type Rep ModelCardProcessingStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCardProcessingStatus

type Rep ModelCardProcessingStatus = D1 ('MetaData "ModelCardProcessingStatus" "Amazonka.SageMaker.Types.ModelCardProcessingStatus" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'True) (C1 ('MetaCons "ModelCardProcessingStatus'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromModelCardProcessingStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

ModelCardSortBy

newtype ModelCardSortBy Source #

Constructors

ModelCardSortBy' 

Fields

Bundled Patterns

pattern ModelCardSortBy_CreationTime :: ModelCardSortBy 
pattern ModelCardSortBy_Name :: ModelCardSortBy 

Instances

Instances details
FromJSON ModelCardSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCardSortBy

Methods

parseJSON :: Value -> Parser ModelCardSortBy #

parseJSONList :: Value -> Parser [ModelCardSortBy] #

FromJSONKey ModelCardSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCardSortBy

Methods

fromJSONKey :: FromJSONKeyFunction ModelCardSortBy #

fromJSONKeyList :: FromJSONKeyFunction [ModelCardSortBy] #

ToJSON ModelCardSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCardSortBy

Methods

toJSON :: ModelCardSortBy -> Value #

toEncoding :: ModelCardSortBy -> Encoding #

toJSONList :: [ModelCardSortBy] -> Value #

toEncodingList :: [ModelCardSortBy] -> Encoding #

ToJSONKey ModelCardSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCardSortBy

Methods

toJSONKey :: ToJSONKeyFunction ModelCardSortBy #

toJSONKeyList :: ToJSONKeyFunction [ModelCardSortBy] #

ToByteString ModelCardSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCardSortBy

Methods

toBS :: ModelCardSortBy -> ByteString #

ToHeader ModelCardSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCardSortBy

Methods

toHeader :: HeaderName -> ModelCardSortBy -> [Header] #

ToLog ModelCardSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCardSortBy

Methods

build :: ModelCardSortBy -> ByteStringBuilder #

ToQuery ModelCardSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCardSortBy

Methods

toQuery :: ModelCardSortBy -> QueryString #

FromText ModelCardSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCardSortBy

Methods

fromText :: Text -> Either String ModelCardSortBy #

ToText ModelCardSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCardSortBy

Methods

toText :: ModelCardSortBy -> Text #

FromXML ModelCardSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCardSortBy

Methods

parseXML :: [Node] -> Either String ModelCardSortBy #

ToXML ModelCardSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCardSortBy

Methods

toXML :: ModelCardSortBy -> XML #

Generic ModelCardSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCardSortBy

Associated Types

type Rep ModelCardSortBy :: Type -> Type #

Methods

from :: ModelCardSortBy -> Rep ModelCardSortBy x #

to :: Rep ModelCardSortBy x -> ModelCardSortBy #

Read ModelCardSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCardSortBy

Methods

readsPrec :: Int -> ReadS ModelCardSortBy #

readList :: ReadS [ModelCardSortBy] #

readPrec :: ReadPrec ModelCardSortBy #

readListPrec :: ReadPrec [ModelCardSortBy] #

Show ModelCardSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCardSortBy

Methods

showsPrec :: Int -> ModelCardSortBy -> ShowS #

show :: ModelCardSortBy -> String #

showList :: [ModelCardSortBy] -> ShowS #

NFData ModelCardSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCardSortBy

Methods

rnf :: ModelCardSortBy -> () #

Eq ModelCardSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCardSortBy

Methods

(==) :: ModelCardSortBy -> ModelCardSortBy -> Bool #

(/=) :: ModelCardSortBy -> ModelCardSortBy -> Bool #

Ord ModelCardSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCardSortBy

Methods

compare :: ModelCardSortBy -> ModelCardSortBy -> Ordering #

(<) :: ModelCardSortBy -> ModelCardSortBy -> Bool #

(<=) :: ModelCardSortBy -> ModelCardSortBy -> Bool #

(>) :: ModelCardSortBy -> ModelCardSortBy -> Bool #

(>=) :: ModelCardSortBy -> ModelCardSortBy -> Bool #

max :: ModelCardSortBy -> ModelCardSortBy -> ModelCardSortBy #

min :: ModelCardSortBy -> ModelCardSortBy -> ModelCardSortBy #

Hashable ModelCardSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCardSortBy

Methods

hashWithSalt :: Int -> ModelCardSortBy -> Int #

hash :: ModelCardSortBy -> Int #

type Rep ModelCardSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCardSortBy

type Rep ModelCardSortBy = D1 ('MetaData "ModelCardSortBy" "Amazonka.SageMaker.Types.ModelCardSortBy" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'True) (C1 ('MetaCons "ModelCardSortBy'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromModelCardSortBy") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

ModelCardSortOrder

newtype ModelCardSortOrder Source #

Constructors

ModelCardSortOrder' 

Fields

Bundled Patterns

pattern ModelCardSortOrder_Ascending :: ModelCardSortOrder 
pattern ModelCardSortOrder_Descending :: ModelCardSortOrder 

Instances

Instances details
FromJSON ModelCardSortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCardSortOrder

Methods

parseJSON :: Value -> Parser ModelCardSortOrder #

parseJSONList :: Value -> Parser [ModelCardSortOrder] #

FromJSONKey ModelCardSortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCardSortOrder

Methods

fromJSONKey :: FromJSONKeyFunction ModelCardSortOrder #

fromJSONKeyList :: FromJSONKeyFunction [ModelCardSortOrder] #

ToJSON ModelCardSortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCardSortOrder

Methods

toJSON :: ModelCardSortOrder -> Value #

toEncoding :: ModelCardSortOrder -> Encoding #

toJSONList :: [ModelCardSortOrder] -> Value #

toEncodingList :: [ModelCardSortOrder] -> Encoding #

ToJSONKey ModelCardSortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCardSortOrder

Methods

toJSONKey :: ToJSONKeyFunction ModelCardSortOrder #

toJSONKeyList :: ToJSONKeyFunction [ModelCardSortOrder] #

ToByteString ModelCardSortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCardSortOrder

Methods

toBS :: ModelCardSortOrder -> ByteString #

ToHeader ModelCardSortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCardSortOrder

Methods

toHeader :: HeaderName -> ModelCardSortOrder -> [Header] #

ToLog ModelCardSortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCardSortOrder

Methods

build :: ModelCardSortOrder -> ByteStringBuilder #

ToQuery ModelCardSortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCardSortOrder

Methods

toQuery :: ModelCardSortOrder -> QueryString #

FromText ModelCardSortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCardSortOrder

Methods

fromText :: Text -> Either String ModelCardSortOrder #

ToText ModelCardSortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCardSortOrder

Methods

toText :: ModelCardSortOrder -> Text #

FromXML ModelCardSortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCardSortOrder

Methods

parseXML :: [Node] -> Either String ModelCardSortOrder #

ToXML ModelCardSortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCardSortOrder

Methods

toXML :: ModelCardSortOrder -> XML #

Generic ModelCardSortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCardSortOrder

Associated Types

type Rep ModelCardSortOrder :: Type -> Type #

Methods

from :: ModelCardSortOrder -> Rep ModelCardSortOrder x #

to :: Rep ModelCardSortOrder x -> ModelCardSortOrder #

Read ModelCardSortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCardSortOrder

Methods

readsPrec :: Int -> ReadS ModelCardSortOrder #

readList :: ReadS [ModelCardSortOrder] #

readPrec :: ReadPrec ModelCardSortOrder #

readListPrec :: ReadPrec [ModelCardSortOrder] #

Show ModelCardSortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCardSortOrder

Methods

showsPrec :: Int -> ModelCardSortOrder -> ShowS #

show :: ModelCardSortOrder -> String #

showList :: [ModelCardSortOrder] -> ShowS #

NFData ModelCardSortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCardSortOrder

Methods

rnf :: ModelCardSortOrder -> () #

Eq ModelCardSortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCardSortOrder

Methods

(==) :: ModelCardSortOrder -> ModelCardSortOrder -> Bool #

(/=) :: ModelCardSortOrder -> ModelCardSortOrder -> Bool #

Ord ModelCardSortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCardSortOrder

Methods

compare :: ModelCardSortOrder -> ModelCardSortOrder -> Ordering #

(<) :: ModelCardSortOrder -> ModelCardSortOrder -> Bool #

(<=) :: ModelCardSortOrder -> ModelCardSortOrder -> Bool #

(>) :: ModelCardSortOrder -> ModelCardSortOrder -> Bool #

(>=) :: ModelCardSortOrder -> ModelCardSortOrder -> Bool #

max :: ModelCardSortOrder -> ModelCardSortOrder -> ModelCardSortOrder #

min :: ModelCardSortOrder -> ModelCardSortOrder -> ModelCardSortOrder #

Hashable ModelCardSortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCardSortOrder

Methods

hashWithSalt :: Int -> ModelCardSortOrder -> Int #

hash :: ModelCardSortOrder -> Int #

type Rep ModelCardSortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCardSortOrder

type Rep ModelCardSortOrder = D1 ('MetaData "ModelCardSortOrder" "Amazonka.SageMaker.Types.ModelCardSortOrder" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'True) (C1 ('MetaCons "ModelCardSortOrder'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromModelCardSortOrder") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

ModelCardStatus

newtype ModelCardStatus Source #

Constructors

ModelCardStatus' 

Fields

Bundled Patterns

pattern ModelCardStatus_Approved :: ModelCardStatus 
pattern ModelCardStatus_Archived :: ModelCardStatus 
pattern ModelCardStatus_Draft :: ModelCardStatus 
pattern ModelCardStatus_PendingReview :: ModelCardStatus 

Instances

Instances details
FromJSON ModelCardStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCardStatus

Methods

parseJSON :: Value -> Parser ModelCardStatus #

parseJSONList :: Value -> Parser [ModelCardStatus] #

FromJSONKey ModelCardStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCardStatus

Methods

fromJSONKey :: FromJSONKeyFunction ModelCardStatus #

fromJSONKeyList :: FromJSONKeyFunction [ModelCardStatus] #

ToJSON ModelCardStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCardStatus

Methods

toJSON :: ModelCardStatus -> Value #

toEncoding :: ModelCardStatus -> Encoding #

toJSONList :: [ModelCardStatus] -> Value #

toEncodingList :: [ModelCardStatus] -> Encoding #

ToJSONKey ModelCardStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCardStatus

Methods

toJSONKey :: ToJSONKeyFunction ModelCardStatus #

toJSONKeyList :: ToJSONKeyFunction [ModelCardStatus] #

ToByteString ModelCardStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCardStatus

Methods

toBS :: ModelCardStatus -> ByteString #

ToHeader ModelCardStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCardStatus

Methods

toHeader :: HeaderName -> ModelCardStatus -> [Header] #

ToLog ModelCardStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCardStatus

Methods

build :: ModelCardStatus -> ByteStringBuilder #

ToQuery ModelCardStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCardStatus

Methods

toQuery :: ModelCardStatus -> QueryString #

FromText ModelCardStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCardStatus

Methods

fromText :: Text -> Either String ModelCardStatus #

ToText ModelCardStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCardStatus

Methods

toText :: ModelCardStatus -> Text #

FromXML ModelCardStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCardStatus

Methods

parseXML :: [Node] -> Either String ModelCardStatus #

ToXML ModelCardStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCardStatus

Methods

toXML :: ModelCardStatus -> XML #

Generic ModelCardStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCardStatus

Associated Types

type Rep ModelCardStatus :: Type -> Type #

Methods

from :: ModelCardStatus -> Rep ModelCardStatus x #

to :: Rep ModelCardStatus x -> ModelCardStatus #

Read ModelCardStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCardStatus

Methods

readsPrec :: Int -> ReadS ModelCardStatus #

readList :: ReadS [ModelCardStatus] #

readPrec :: ReadPrec ModelCardStatus #

readListPrec :: ReadPrec [ModelCardStatus] #

Show ModelCardStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCardStatus

Methods

showsPrec :: Int -> ModelCardStatus -> ShowS #

show :: ModelCardStatus -> String #

showList :: [ModelCardStatus] -> ShowS #

NFData ModelCardStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCardStatus

Methods

rnf :: ModelCardStatus -> () #

Eq ModelCardStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCardStatus

Methods

(==) :: ModelCardStatus -> ModelCardStatus -> Bool #

(/=) :: ModelCardStatus -> ModelCardStatus -> Bool #

Ord ModelCardStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCardStatus

Methods

compare :: ModelCardStatus -> ModelCardStatus -> Ordering #

(<) :: ModelCardStatus -> ModelCardStatus -> Bool #

(<=) :: ModelCardStatus -> ModelCardStatus -> Bool #

(>) :: ModelCardStatus -> ModelCardStatus -> Bool #

(>=) :: ModelCardStatus -> ModelCardStatus -> Bool #

max :: ModelCardStatus -> ModelCardStatus -> ModelCardStatus #

min :: ModelCardStatus -> ModelCardStatus -> ModelCardStatus #

Hashable ModelCardStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCardStatus

Methods

hashWithSalt :: Int -> ModelCardStatus -> Int #

hash :: ModelCardStatus -> Int #

type Rep ModelCardStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCardStatus

type Rep ModelCardStatus = D1 ('MetaData "ModelCardStatus" "Amazonka.SageMaker.Types.ModelCardStatus" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'True) (C1 ('MetaCons "ModelCardStatus'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromModelCardStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

ModelCardVersionSortBy

newtype ModelCardVersionSortBy Source #

Constructors

ModelCardVersionSortBy' 

Fields

Bundled Patterns

pattern ModelCardVersionSortBy_Version :: ModelCardVersionSortBy 

Instances

Instances details
FromJSON ModelCardVersionSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCardVersionSortBy

Methods

parseJSON :: Value -> Parser ModelCardVersionSortBy #

parseJSONList :: Value -> Parser [ModelCardVersionSortBy] #

FromJSONKey ModelCardVersionSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCardVersionSortBy

Methods

fromJSONKey :: FromJSONKeyFunction ModelCardVersionSortBy #

fromJSONKeyList :: FromJSONKeyFunction [ModelCardVersionSortBy] #

ToJSON ModelCardVersionSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCardVersionSortBy

Methods

toJSON :: ModelCardVersionSortBy -> Value #

toEncoding :: ModelCardVersionSortBy -> Encoding #

toJSONList :: [ModelCardVersionSortBy] -> Value #

toEncodingList :: [ModelCardVersionSortBy] -> Encoding #

ToJSONKey ModelCardVersionSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCardVersionSortBy

Methods

toJSONKey :: ToJSONKeyFunction ModelCardVersionSortBy #

toJSONKeyList :: ToJSONKeyFunction [ModelCardVersionSortBy] #

ToByteString ModelCardVersionSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCardVersionSortBy

Methods

toBS :: ModelCardVersionSortBy -> ByteString #

ToHeader ModelCardVersionSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCardVersionSortBy

Methods

toHeader :: HeaderName -> ModelCardVersionSortBy -> [Header] #

ToLog ModelCardVersionSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCardVersionSortBy

Methods

build :: ModelCardVersionSortBy -> ByteStringBuilder #

ToQuery ModelCardVersionSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCardVersionSortBy

Methods

toQuery :: ModelCardVersionSortBy -> QueryString #

FromText ModelCardVersionSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCardVersionSortBy

Methods

fromText :: Text -> Either String ModelCardVersionSortBy #

ToText ModelCardVersionSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCardVersionSortBy

Methods

toText :: ModelCardVersionSortBy -> Text #

FromXML ModelCardVersionSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCardVersionSortBy

Methods

parseXML :: [Node] -> Either String ModelCardVersionSortBy #

ToXML ModelCardVersionSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCardVersionSortBy

Methods

toXML :: ModelCardVersionSortBy -> XML #

Generic ModelCardVersionSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCardVersionSortBy

Associated Types

type Rep ModelCardVersionSortBy :: Type -> Type #

Methods

from :: ModelCardVersionSortBy -> Rep ModelCardVersionSortBy x #

to :: Rep ModelCardVersionSortBy x -> ModelCardVersionSortBy #

Read ModelCardVersionSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCardVersionSortBy

Methods

readsPrec :: Int -> ReadS ModelCardVersionSortBy #

readList :: ReadS [ModelCardVersionSortBy] #

readPrec :: ReadPrec ModelCardVersionSortBy #

readListPrec :: ReadPrec [ModelCardVersionSortBy] #

Show ModelCardVersionSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCardVersionSortBy

Methods

showsPrec :: Int -> ModelCardVersionSortBy -> ShowS #

show :: ModelCardVersionSortBy -> String #

showList :: [ModelCardVersionSortBy] -> ShowS #

NFData ModelCardVersionSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCardVersionSortBy

Methods

rnf :: ModelCardVersionSortBy -> () #

Eq ModelCardVersionSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCardVersionSortBy

Methods

(==) :: ModelCardVersionSortBy -> ModelCardVersionSortBy -> Bool #

(/=) :: ModelCardVersionSortBy -> ModelCardVersionSortBy -> Bool #

Ord ModelCardVersionSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCardVersionSortBy

Methods

compare :: ModelCardVersionSortBy -> ModelCardVersionSortBy -> Ordering #

(<) :: ModelCardVersionSortBy -> ModelCardVersionSortBy -> Bool #

(<=) :: ModelCardVersionSortBy -> ModelCardVersionSortBy -> Bool #

(>) :: ModelCardVersionSortBy -> ModelCardVersionSortBy -> Bool #

(>=) :: ModelCardVersionSortBy -> ModelCardVersionSortBy -> Bool #

max :: ModelCardVersionSortBy -> ModelCardVersionSortBy -> ModelCardVersionSortBy #

min :: ModelCardVersionSortBy -> ModelCardVersionSortBy -> ModelCardVersionSortBy #

Hashable ModelCardVersionSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCardVersionSortBy

Methods

hashWithSalt :: Int -> ModelCardVersionSortBy -> Int #

hash :: ModelCardVersionSortBy -> Int #

type Rep ModelCardVersionSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCardVersionSortBy

type Rep ModelCardVersionSortBy = D1 ('MetaData "ModelCardVersionSortBy" "Amazonka.SageMaker.Types.ModelCardVersionSortBy" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'True) (C1 ('MetaCons "ModelCardVersionSortBy'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromModelCardVersionSortBy") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

ModelInfrastructureType

newtype ModelInfrastructureType Source #

Constructors

ModelInfrastructureType' 

Fields

Bundled Patterns

pattern ModelInfrastructureType_RealTimeInference :: ModelInfrastructureType 

Instances

Instances details
FromJSON ModelInfrastructureType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelInfrastructureType

Methods

parseJSON :: Value -> Parser ModelInfrastructureType #

parseJSONList :: Value -> Parser [ModelInfrastructureType] #

FromJSONKey ModelInfrastructureType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelInfrastructureType

Methods

fromJSONKey :: FromJSONKeyFunction ModelInfrastructureType #

fromJSONKeyList :: FromJSONKeyFunction [ModelInfrastructureType] #

ToJSON ModelInfrastructureType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelInfrastructureType

Methods

toJSON :: ModelInfrastructureType -> Value #

toEncoding :: ModelInfrastructureType -> Encoding #

toJSONList :: [ModelInfrastructureType] -> Value #

toEncodingList :: [ModelInfrastructureType] -> Encoding #

ToJSONKey ModelInfrastructureType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelInfrastructureType

Methods

toJSONKey :: ToJSONKeyFunction ModelInfrastructureType #

toJSONKeyList :: ToJSONKeyFunction [ModelInfrastructureType] #

ToByteString ModelInfrastructureType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelInfrastructureType

Methods

toBS :: ModelInfrastructureType -> ByteString #

ToHeader ModelInfrastructureType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelInfrastructureType

Methods

toHeader :: HeaderName -> ModelInfrastructureType -> [Header] #

ToLog ModelInfrastructureType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelInfrastructureType

Methods

build :: ModelInfrastructureType -> ByteStringBuilder #

ToQuery ModelInfrastructureType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelInfrastructureType

Methods

toQuery :: ModelInfrastructureType -> QueryString #

FromText ModelInfrastructureType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelInfrastructureType

Methods

fromText :: Text -> Either String ModelInfrastructureType #

ToText ModelInfrastructureType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelInfrastructureType

Methods

toText :: ModelInfrastructureType -> Text #

FromXML ModelInfrastructureType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelInfrastructureType

Methods

parseXML :: [Node] -> Either String ModelInfrastructureType #

ToXML ModelInfrastructureType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelInfrastructureType

Methods

toXML :: ModelInfrastructureType -> XML #

Generic ModelInfrastructureType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelInfrastructureType

Associated Types

type Rep ModelInfrastructureType :: Type -> Type #

Methods

from :: ModelInfrastructureType -> Rep ModelInfrastructureType x #

to :: Rep ModelInfrastructureType x -> ModelInfrastructureType #

Read ModelInfrastructureType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelInfrastructureType

Methods

readsPrec :: Int -> ReadS ModelInfrastructureType #

readList :: ReadS [ModelInfrastructureType] #

readPrec :: ReadPrec ModelInfrastructureType #

readListPrec :: ReadPrec [ModelInfrastructureType] #

Show ModelInfrastructureType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelInfrastructureType

Methods

showsPrec :: Int -> ModelInfrastructureType -> ShowS #

show :: ModelInfrastructureType -> String #

showList :: [ModelInfrastructureType] -> ShowS #

NFData ModelInfrastructureType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelInfrastructureType

Methods

rnf :: ModelInfrastructureType -> () #

Eq ModelInfrastructureType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelInfrastructureType

Methods

(==) :: ModelInfrastructureType -> ModelInfrastructureType -> Bool #

(/=) :: ModelInfrastructureType -> ModelInfrastructureType -> Bool #

Ord ModelInfrastructureType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelInfrastructureType

Methods

compare :: ModelInfrastructureType -> ModelInfrastructureType -> Ordering #

(<) :: ModelInfrastructureType -> ModelInfrastructureType -> Bool #

(<=) :: ModelInfrastructureType -> ModelInfrastructureType -> Bool #

(>) :: ModelInfrastructureType -> ModelInfrastructureType -> Bool #

(>=) :: ModelInfrastructureType -> ModelInfrastructureType -> Bool #

max :: ModelInfrastructureType -> ModelInfrastructureType -> ModelInfrastructureType #

min :: ModelInfrastructureType -> ModelInfrastructureType -> ModelInfrastructureType #

Hashable ModelInfrastructureType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelInfrastructureType

Methods

hashWithSalt :: Int -> ModelInfrastructureType -> Int #

hash :: ModelInfrastructureType -> Int #

type Rep ModelInfrastructureType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelInfrastructureType

type Rep ModelInfrastructureType = D1 ('MetaData "ModelInfrastructureType" "Amazonka.SageMaker.Types.ModelInfrastructureType" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'True) (C1 ('MetaCons "ModelInfrastructureType'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromModelInfrastructureType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

ModelMetadataFilterType

newtype ModelMetadataFilterType Source #

Constructors

ModelMetadataFilterType' 

Fields

Bundled Patterns

pattern ModelMetadataFilterType_Domain :: ModelMetadataFilterType 
pattern ModelMetadataFilterType_Framework :: ModelMetadataFilterType 
pattern ModelMetadataFilterType_FrameworkVersion :: ModelMetadataFilterType 
pattern ModelMetadataFilterType_Task :: ModelMetadataFilterType 

Instances

Instances details
FromJSON ModelMetadataFilterType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelMetadataFilterType

Methods

parseJSON :: Value -> Parser ModelMetadataFilterType #

parseJSONList :: Value -> Parser [ModelMetadataFilterType] #

FromJSONKey ModelMetadataFilterType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelMetadataFilterType

Methods

fromJSONKey :: FromJSONKeyFunction ModelMetadataFilterType #

fromJSONKeyList :: FromJSONKeyFunction [ModelMetadataFilterType] #

ToJSON ModelMetadataFilterType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelMetadataFilterType

Methods

toJSON :: ModelMetadataFilterType -> Value #

toEncoding :: ModelMetadataFilterType -> Encoding #

toJSONList :: [ModelMetadataFilterType] -> Value #

toEncodingList :: [ModelMetadataFilterType] -> Encoding #

ToJSONKey ModelMetadataFilterType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelMetadataFilterType

Methods

toJSONKey :: ToJSONKeyFunction ModelMetadataFilterType #

toJSONKeyList :: ToJSONKeyFunction [ModelMetadataFilterType] #

ToByteString ModelMetadataFilterType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelMetadataFilterType

Methods

toBS :: ModelMetadataFilterType -> ByteString #

ToHeader ModelMetadataFilterType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelMetadataFilterType

Methods

toHeader :: HeaderName -> ModelMetadataFilterType -> [Header] #

ToLog ModelMetadataFilterType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelMetadataFilterType

Methods

build :: ModelMetadataFilterType -> ByteStringBuilder #

ToQuery ModelMetadataFilterType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelMetadataFilterType

Methods

toQuery :: ModelMetadataFilterType -> QueryString #

FromText ModelMetadataFilterType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelMetadataFilterType

Methods

fromText :: Text -> Either String ModelMetadataFilterType #

ToText ModelMetadataFilterType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelMetadataFilterType

Methods

toText :: ModelMetadataFilterType -> Text #

FromXML ModelMetadataFilterType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelMetadataFilterType

Methods

parseXML :: [Node] -> Either String ModelMetadataFilterType #

ToXML ModelMetadataFilterType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelMetadataFilterType

Methods

toXML :: ModelMetadataFilterType -> XML #

Generic ModelMetadataFilterType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelMetadataFilterType

Associated Types

type Rep ModelMetadataFilterType :: Type -> Type #

Methods

from :: ModelMetadataFilterType -> Rep ModelMetadataFilterType x #

to :: Rep ModelMetadataFilterType x -> ModelMetadataFilterType #

Read ModelMetadataFilterType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelMetadataFilterType

Methods

readsPrec :: Int -> ReadS ModelMetadataFilterType #

readList :: ReadS [ModelMetadataFilterType] #

readPrec :: ReadPrec ModelMetadataFilterType #

readListPrec :: ReadPrec [ModelMetadataFilterType] #

Show ModelMetadataFilterType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelMetadataFilterType

Methods

showsPrec :: Int -> ModelMetadataFilterType -> ShowS #

show :: ModelMetadataFilterType -> String #

showList :: [ModelMetadataFilterType] -> ShowS #

NFData ModelMetadataFilterType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelMetadataFilterType

Methods

rnf :: ModelMetadataFilterType -> () #

Eq ModelMetadataFilterType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelMetadataFilterType

Methods

(==) :: ModelMetadataFilterType -> ModelMetadataFilterType -> Bool #

(/=) :: ModelMetadataFilterType -> ModelMetadataFilterType -> Bool #

Ord ModelMetadataFilterType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelMetadataFilterType

Methods

compare :: ModelMetadataFilterType -> ModelMetadataFilterType -> Ordering #

(<) :: ModelMetadataFilterType -> ModelMetadataFilterType -> Bool #

(<=) :: ModelMetadataFilterType -> ModelMetadataFilterType -> Bool #

(>) :: ModelMetadataFilterType -> ModelMetadataFilterType -> Bool #

(>=) :: ModelMetadataFilterType -> ModelMetadataFilterType -> Bool #

max :: ModelMetadataFilterType -> ModelMetadataFilterType -> ModelMetadataFilterType #

min :: ModelMetadataFilterType -> ModelMetadataFilterType -> ModelMetadataFilterType #

Hashable ModelMetadataFilterType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelMetadataFilterType

Methods

hashWithSalt :: Int -> ModelMetadataFilterType -> Int #

hash :: ModelMetadataFilterType -> Int #

type Rep ModelMetadataFilterType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelMetadataFilterType

type Rep ModelMetadataFilterType = D1 ('MetaData "ModelMetadataFilterType" "Amazonka.SageMaker.Types.ModelMetadataFilterType" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'True) (C1 ('MetaCons "ModelMetadataFilterType'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromModelMetadataFilterType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

ModelPackageGroupSortBy

newtype ModelPackageGroupSortBy Source #

Constructors

ModelPackageGroupSortBy' 

Fields

Bundled Patterns

pattern ModelPackageGroupSortBy_CreationTime :: ModelPackageGroupSortBy 
pattern ModelPackageGroupSortBy_Name :: ModelPackageGroupSortBy 

Instances

Instances details
FromJSON ModelPackageGroupSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelPackageGroupSortBy

Methods

parseJSON :: Value -> Parser ModelPackageGroupSortBy #

parseJSONList :: Value -> Parser [ModelPackageGroupSortBy] #

FromJSONKey ModelPackageGroupSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelPackageGroupSortBy

Methods

fromJSONKey :: FromJSONKeyFunction ModelPackageGroupSortBy #

fromJSONKeyList :: FromJSONKeyFunction [ModelPackageGroupSortBy] #

ToJSON ModelPackageGroupSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelPackageGroupSortBy

Methods

toJSON :: ModelPackageGroupSortBy -> Value #

toEncoding :: ModelPackageGroupSortBy -> Encoding #

toJSONList :: [ModelPackageGroupSortBy] -> Value #

toEncodingList :: [ModelPackageGroupSortBy] -> Encoding #

ToJSONKey ModelPackageGroupSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelPackageGroupSortBy

Methods

toJSONKey :: ToJSONKeyFunction ModelPackageGroupSortBy #

toJSONKeyList :: ToJSONKeyFunction [ModelPackageGroupSortBy] #

ToByteString ModelPackageGroupSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelPackageGroupSortBy

Methods

toBS :: ModelPackageGroupSortBy -> ByteString #

ToHeader ModelPackageGroupSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelPackageGroupSortBy

Methods

toHeader :: HeaderName -> ModelPackageGroupSortBy -> [Header] #

ToLog ModelPackageGroupSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelPackageGroupSortBy

Methods

build :: ModelPackageGroupSortBy -> ByteStringBuilder #

ToQuery ModelPackageGroupSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelPackageGroupSortBy

Methods

toQuery :: ModelPackageGroupSortBy -> QueryString #

FromText ModelPackageGroupSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelPackageGroupSortBy

Methods

fromText :: Text -> Either String ModelPackageGroupSortBy #

ToText ModelPackageGroupSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelPackageGroupSortBy

Methods

toText :: ModelPackageGroupSortBy -> Text #

FromXML ModelPackageGroupSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelPackageGroupSortBy

Methods

parseXML :: [Node] -> Either String ModelPackageGroupSortBy #

ToXML ModelPackageGroupSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelPackageGroupSortBy

Methods

toXML :: ModelPackageGroupSortBy -> XML #

Generic ModelPackageGroupSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelPackageGroupSortBy

Associated Types

type Rep ModelPackageGroupSortBy :: Type -> Type #

Methods

from :: ModelPackageGroupSortBy -> Rep ModelPackageGroupSortBy x #

to :: Rep ModelPackageGroupSortBy x -> ModelPackageGroupSortBy #

Read ModelPackageGroupSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelPackageGroupSortBy

Methods

readsPrec :: Int -> ReadS ModelPackageGroupSortBy #

readList :: ReadS [ModelPackageGroupSortBy] #

readPrec :: ReadPrec ModelPackageGroupSortBy #

readListPrec :: ReadPrec [ModelPackageGroupSortBy] #

Show ModelPackageGroupSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelPackageGroupSortBy

Methods

showsPrec :: Int -> ModelPackageGroupSortBy -> ShowS #

show :: ModelPackageGroupSortBy -> String #

showList :: [ModelPackageGroupSortBy] -> ShowS #

NFData ModelPackageGroupSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelPackageGroupSortBy

Methods

rnf :: ModelPackageGroupSortBy -> () #

Eq ModelPackageGroupSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelPackageGroupSortBy

Methods

(==) :: ModelPackageGroupSortBy -> ModelPackageGroupSortBy -> Bool #

(/=) :: ModelPackageGroupSortBy -> ModelPackageGroupSortBy -> Bool #

Ord ModelPackageGroupSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelPackageGroupSortBy

Methods

compare :: ModelPackageGroupSortBy -> ModelPackageGroupSortBy -> Ordering #

(<) :: ModelPackageGroupSortBy -> ModelPackageGroupSortBy -> Bool #

(<=) :: ModelPackageGroupSortBy -> ModelPackageGroupSortBy -> Bool #

(>) :: ModelPackageGroupSortBy -> ModelPackageGroupSortBy -> Bool #

(>=) :: ModelPackageGroupSortBy -> ModelPackageGroupSortBy -> Bool #

max :: ModelPackageGroupSortBy -> ModelPackageGroupSortBy -> ModelPackageGroupSortBy #

min :: ModelPackageGroupSortBy -> ModelPackageGroupSortBy -> ModelPackageGroupSortBy #

Hashable ModelPackageGroupSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelPackageGroupSortBy

Methods

hashWithSalt :: Int -> ModelPackageGroupSortBy -> Int #

hash :: ModelPackageGroupSortBy -> Int #

type Rep ModelPackageGroupSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelPackageGroupSortBy

type Rep ModelPackageGroupSortBy = D1 ('MetaData "ModelPackageGroupSortBy" "Amazonka.SageMaker.Types.ModelPackageGroupSortBy" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'True) (C1 ('MetaCons "ModelPackageGroupSortBy'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromModelPackageGroupSortBy") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

ModelPackageGroupStatus

newtype ModelPackageGroupStatus Source #

Constructors

ModelPackageGroupStatus' 

Fields

Bundled Patterns

pattern ModelPackageGroupStatus_Completed :: ModelPackageGroupStatus 
pattern ModelPackageGroupStatus_DeleteFailed :: ModelPackageGroupStatus 
pattern ModelPackageGroupStatus_Deleting :: ModelPackageGroupStatus 
pattern ModelPackageGroupStatus_Failed :: ModelPackageGroupStatus 
pattern ModelPackageGroupStatus_InProgress :: ModelPackageGroupStatus 
pattern ModelPackageGroupStatus_Pending :: ModelPackageGroupStatus 

Instances

Instances details
FromJSON ModelPackageGroupStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelPackageGroupStatus

Methods

parseJSON :: Value -> Parser ModelPackageGroupStatus #

parseJSONList :: Value -> Parser [ModelPackageGroupStatus] #

FromJSONKey ModelPackageGroupStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelPackageGroupStatus

Methods

fromJSONKey :: FromJSONKeyFunction ModelPackageGroupStatus #

fromJSONKeyList :: FromJSONKeyFunction [ModelPackageGroupStatus] #

ToJSON ModelPackageGroupStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelPackageGroupStatus

Methods

toJSON :: ModelPackageGroupStatus -> Value #

toEncoding :: ModelPackageGroupStatus -> Encoding #

toJSONList :: [ModelPackageGroupStatus] -> Value #

toEncodingList :: [ModelPackageGroupStatus] -> Encoding #

ToJSONKey ModelPackageGroupStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelPackageGroupStatus

Methods

toJSONKey :: ToJSONKeyFunction ModelPackageGroupStatus #

toJSONKeyList :: ToJSONKeyFunction [ModelPackageGroupStatus] #

ToByteString ModelPackageGroupStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelPackageGroupStatus

Methods

toBS :: ModelPackageGroupStatus -> ByteString #

ToHeader ModelPackageGroupStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelPackageGroupStatus

Methods

toHeader :: HeaderName -> ModelPackageGroupStatus -> [Header] #

ToLog ModelPackageGroupStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelPackageGroupStatus

Methods

build :: ModelPackageGroupStatus -> ByteStringBuilder #

ToQuery ModelPackageGroupStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelPackageGroupStatus

Methods

toQuery :: ModelPackageGroupStatus -> QueryString #

FromText ModelPackageGroupStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelPackageGroupStatus

Methods

fromText :: Text -> Either String ModelPackageGroupStatus #

ToText ModelPackageGroupStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelPackageGroupStatus

Methods

toText :: ModelPackageGroupStatus -> Text #

FromXML ModelPackageGroupStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelPackageGroupStatus

Methods

parseXML :: [Node] -> Either String ModelPackageGroupStatus #

ToXML ModelPackageGroupStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelPackageGroupStatus

Methods

toXML :: ModelPackageGroupStatus -> XML #

Generic ModelPackageGroupStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelPackageGroupStatus

Associated Types

type Rep ModelPackageGroupStatus :: Type -> Type #

Methods

from :: ModelPackageGroupStatus -> Rep ModelPackageGroupStatus x #

to :: Rep ModelPackageGroupStatus x -> ModelPackageGroupStatus #

Read ModelPackageGroupStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelPackageGroupStatus

Methods

readsPrec :: Int -> ReadS ModelPackageGroupStatus #

readList :: ReadS [ModelPackageGroupStatus] #

readPrec :: ReadPrec ModelPackageGroupStatus #

readListPrec :: ReadPrec [ModelPackageGroupStatus] #

Show ModelPackageGroupStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelPackageGroupStatus

Methods

showsPrec :: Int -> ModelPackageGroupStatus -> ShowS #

show :: ModelPackageGroupStatus -> String #

showList :: [ModelPackageGroupStatus] -> ShowS #

NFData ModelPackageGroupStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelPackageGroupStatus

Methods

rnf :: ModelPackageGroupStatus -> () #

Eq ModelPackageGroupStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelPackageGroupStatus

Methods

(==) :: ModelPackageGroupStatus -> ModelPackageGroupStatus -> Bool #

(/=) :: ModelPackageGroupStatus -> ModelPackageGroupStatus -> Bool #

Ord ModelPackageGroupStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelPackageGroupStatus

Methods

compare :: ModelPackageGroupStatus -> ModelPackageGroupStatus -> Ordering #

(<) :: ModelPackageGroupStatus -> ModelPackageGroupStatus -> Bool #

(<=) :: ModelPackageGroupStatus -> ModelPackageGroupStatus -> Bool #

(>) :: ModelPackageGroupStatus -> ModelPackageGroupStatus -> Bool #

(>=) :: ModelPackageGroupStatus -> ModelPackageGroupStatus -> Bool #

max :: ModelPackageGroupStatus -> ModelPackageGroupStatus -> ModelPackageGroupStatus #

min :: ModelPackageGroupStatus -> ModelPackageGroupStatus -> ModelPackageGroupStatus #

Hashable ModelPackageGroupStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelPackageGroupStatus

Methods

hashWithSalt :: Int -> ModelPackageGroupStatus -> Int #

hash :: ModelPackageGroupStatus -> Int #

type Rep ModelPackageGroupStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelPackageGroupStatus

type Rep ModelPackageGroupStatus = D1 ('MetaData "ModelPackageGroupStatus" "Amazonka.SageMaker.Types.ModelPackageGroupStatus" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'True) (C1 ('MetaCons "ModelPackageGroupStatus'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromModelPackageGroupStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

ModelPackageSortBy

newtype ModelPackageSortBy Source #

Constructors

ModelPackageSortBy' 

Fields

Bundled Patterns

pattern ModelPackageSortBy_CreationTime :: ModelPackageSortBy 
pattern ModelPackageSortBy_Name :: ModelPackageSortBy 

Instances

Instances details
FromJSON ModelPackageSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelPackageSortBy

Methods

parseJSON :: Value -> Parser ModelPackageSortBy #

parseJSONList :: Value -> Parser [ModelPackageSortBy] #

FromJSONKey ModelPackageSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelPackageSortBy

Methods

fromJSONKey :: FromJSONKeyFunction ModelPackageSortBy #

fromJSONKeyList :: FromJSONKeyFunction [ModelPackageSortBy] #

ToJSON ModelPackageSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelPackageSortBy

Methods

toJSON :: ModelPackageSortBy -> Value #

toEncoding :: ModelPackageSortBy -> Encoding #

toJSONList :: [ModelPackageSortBy] -> Value #

toEncodingList :: [ModelPackageSortBy] -> Encoding #

ToJSONKey ModelPackageSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelPackageSortBy

Methods

toJSONKey :: ToJSONKeyFunction ModelPackageSortBy #

toJSONKeyList :: ToJSONKeyFunction [ModelPackageSortBy] #

ToByteString ModelPackageSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelPackageSortBy

Methods

toBS :: ModelPackageSortBy -> ByteString #

ToHeader ModelPackageSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelPackageSortBy

Methods

toHeader :: HeaderName -> ModelPackageSortBy -> [Header] #

ToLog ModelPackageSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelPackageSortBy

Methods

build :: ModelPackageSortBy -> ByteStringBuilder #

ToQuery ModelPackageSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelPackageSortBy

Methods

toQuery :: ModelPackageSortBy -> QueryString #

FromText ModelPackageSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelPackageSortBy

Methods

fromText :: Text -> Either String ModelPackageSortBy #

ToText ModelPackageSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelPackageSortBy

Methods

toText :: ModelPackageSortBy -> Text #

FromXML ModelPackageSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelPackageSortBy

Methods

parseXML :: [Node] -> Either String ModelPackageSortBy #

ToXML ModelPackageSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelPackageSortBy

Methods

toXML :: ModelPackageSortBy -> XML #

Generic ModelPackageSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelPackageSortBy

Associated Types

type Rep ModelPackageSortBy :: Type -> Type #

Methods

from :: ModelPackageSortBy -> Rep ModelPackageSortBy x #

to :: Rep ModelPackageSortBy x -> ModelPackageSortBy #

Read ModelPackageSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelPackageSortBy

Methods

readsPrec :: Int -> ReadS ModelPackageSortBy #

readList :: ReadS [ModelPackageSortBy] #

readPrec :: ReadPrec ModelPackageSortBy #

readListPrec :: ReadPrec [ModelPackageSortBy] #

Show ModelPackageSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelPackageSortBy

Methods

showsPrec :: Int -> ModelPackageSortBy -> ShowS #

show :: ModelPackageSortBy -> String #

showList :: [ModelPackageSortBy] -> ShowS #

NFData ModelPackageSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelPackageSortBy

Methods

rnf :: ModelPackageSortBy -> () #

Eq ModelPackageSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelPackageSortBy

Methods

(==) :: ModelPackageSortBy -> ModelPackageSortBy -> Bool #

(/=) :: ModelPackageSortBy -> ModelPackageSortBy -> Bool #

Ord ModelPackageSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelPackageSortBy

Methods

compare :: ModelPackageSortBy -> ModelPackageSortBy -> Ordering #

(<) :: ModelPackageSortBy -> ModelPackageSortBy -> Bool #

(<=) :: ModelPackageSortBy -> ModelPackageSortBy -> Bool #

(>) :: ModelPackageSortBy -> ModelPackageSortBy -> Bool #

(>=) :: ModelPackageSortBy -> ModelPackageSortBy -> Bool #

max :: ModelPackageSortBy -> ModelPackageSortBy -> ModelPackageSortBy #

min :: ModelPackageSortBy -> ModelPackageSortBy -> ModelPackageSortBy #

Hashable ModelPackageSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelPackageSortBy

Methods

hashWithSalt :: Int -> ModelPackageSortBy -> Int #

hash :: ModelPackageSortBy -> Int #

type Rep ModelPackageSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelPackageSortBy

type Rep ModelPackageSortBy = D1 ('MetaData "ModelPackageSortBy" "Amazonka.SageMaker.Types.ModelPackageSortBy" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'True) (C1 ('MetaCons "ModelPackageSortBy'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromModelPackageSortBy") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

ModelPackageStatus

newtype ModelPackageStatus Source #

Constructors

ModelPackageStatus' 

Fields

Bundled Patterns

pattern ModelPackageStatus_Completed :: ModelPackageStatus 
pattern ModelPackageStatus_Deleting :: ModelPackageStatus 
pattern ModelPackageStatus_Failed :: ModelPackageStatus 
pattern ModelPackageStatus_InProgress :: ModelPackageStatus 
pattern ModelPackageStatus_Pending :: ModelPackageStatus 

Instances

Instances details
FromJSON ModelPackageStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelPackageStatus

Methods

parseJSON :: Value -> Parser ModelPackageStatus #

parseJSONList :: Value -> Parser [ModelPackageStatus] #

FromJSONKey ModelPackageStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelPackageStatus

Methods

fromJSONKey :: FromJSONKeyFunction ModelPackageStatus #

fromJSONKeyList :: FromJSONKeyFunction [ModelPackageStatus] #

ToJSON ModelPackageStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelPackageStatus

Methods

toJSON :: ModelPackageStatus -> Value #

toEncoding :: ModelPackageStatus -> Encoding #

toJSONList :: [ModelPackageStatus] -> Value #

toEncodingList :: [ModelPackageStatus] -> Encoding #

ToJSONKey ModelPackageStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelPackageStatus

Methods

toJSONKey :: ToJSONKeyFunction ModelPackageStatus #

toJSONKeyList :: ToJSONKeyFunction [ModelPackageStatus] #

ToByteString ModelPackageStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelPackageStatus

Methods

toBS :: ModelPackageStatus -> ByteString #

ToHeader ModelPackageStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelPackageStatus

Methods

toHeader :: HeaderName -> ModelPackageStatus -> [Header] #

ToLog ModelPackageStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelPackageStatus

Methods

build :: ModelPackageStatus -> ByteStringBuilder #

ToQuery ModelPackageStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelPackageStatus

Methods

toQuery :: ModelPackageStatus -> QueryString #

FromText ModelPackageStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelPackageStatus

Methods

fromText :: Text -> Either String ModelPackageStatus #

ToText ModelPackageStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelPackageStatus

Methods

toText :: ModelPackageStatus -> Text #

FromXML ModelPackageStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelPackageStatus

Methods

parseXML :: [Node] -> Either String ModelPackageStatus #

ToXML ModelPackageStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelPackageStatus

Methods

toXML :: ModelPackageStatus -> XML #

Generic ModelPackageStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelPackageStatus

Associated Types

type Rep ModelPackageStatus :: Type -> Type #

Methods

from :: ModelPackageStatus -> Rep ModelPackageStatus x #

to :: Rep ModelPackageStatus x -> ModelPackageStatus #

Read ModelPackageStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelPackageStatus

Methods

readsPrec :: Int -> ReadS ModelPackageStatus #

readList :: ReadS [ModelPackageStatus] #

readPrec :: ReadPrec ModelPackageStatus #

readListPrec :: ReadPrec [ModelPackageStatus] #

Show ModelPackageStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelPackageStatus

Methods

showsPrec :: Int -> ModelPackageStatus -> ShowS #

show :: ModelPackageStatus -> String #

showList :: [ModelPackageStatus] -> ShowS #

NFData ModelPackageStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelPackageStatus

Methods

rnf :: ModelPackageStatus -> () #

Eq ModelPackageStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelPackageStatus

Methods

(==) :: ModelPackageStatus -> ModelPackageStatus -> Bool #

(/=) :: ModelPackageStatus -> ModelPackageStatus -> Bool #

Ord ModelPackageStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelPackageStatus

Methods

compare :: ModelPackageStatus -> ModelPackageStatus -> Ordering #

(<) :: ModelPackageStatus -> ModelPackageStatus -> Bool #

(<=) :: ModelPackageStatus -> ModelPackageStatus -> Bool #

(>) :: ModelPackageStatus -> ModelPackageStatus -> Bool #

(>=) :: ModelPackageStatus -> ModelPackageStatus -> Bool #

max :: ModelPackageStatus -> ModelPackageStatus -> ModelPackageStatus #

min :: ModelPackageStatus -> ModelPackageStatus -> ModelPackageStatus #

Hashable ModelPackageStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelPackageStatus

Methods

hashWithSalt :: Int -> ModelPackageStatus -> Int #

hash :: ModelPackageStatus -> Int #

type Rep ModelPackageStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelPackageStatus

type Rep ModelPackageStatus = D1 ('MetaData "ModelPackageStatus" "Amazonka.SageMaker.Types.ModelPackageStatus" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'True) (C1 ('MetaCons "ModelPackageStatus'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromModelPackageStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

ModelPackageType

newtype ModelPackageType Source #

Constructors

ModelPackageType' 

Fields

Bundled Patterns

pattern ModelPackageType_Both :: ModelPackageType 
pattern ModelPackageType_Unversioned :: ModelPackageType 
pattern ModelPackageType_Versioned :: ModelPackageType 

Instances

Instances details
FromJSON ModelPackageType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelPackageType

Methods

parseJSON :: Value -> Parser ModelPackageType #

parseJSONList :: Value -> Parser [ModelPackageType] #

FromJSONKey ModelPackageType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelPackageType

Methods

fromJSONKey :: FromJSONKeyFunction ModelPackageType #

fromJSONKeyList :: FromJSONKeyFunction [ModelPackageType] #

ToJSON ModelPackageType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelPackageType

Methods

toJSON :: ModelPackageType -> Value #

toEncoding :: ModelPackageType -> Encoding #

toJSONList :: [ModelPackageType] -> Value #

toEncodingList :: [ModelPackageType] -> Encoding #

ToJSONKey ModelPackageType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelPackageType

Methods

toJSONKey :: ToJSONKeyFunction ModelPackageType #

toJSONKeyList :: ToJSONKeyFunction [ModelPackageType] #

ToByteString ModelPackageType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelPackageType

Methods

toBS :: ModelPackageType -> ByteString #

ToHeader ModelPackageType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelPackageType

Methods

toHeader :: HeaderName -> ModelPackageType -> [Header] #

ToLog ModelPackageType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelPackageType

Methods

build :: ModelPackageType -> ByteStringBuilder #

ToQuery ModelPackageType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelPackageType

Methods

toQuery :: ModelPackageType -> QueryString #

FromText ModelPackageType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelPackageType

Methods

fromText :: Text -> Either String ModelPackageType #

ToText ModelPackageType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelPackageType

Methods

toText :: ModelPackageType -> Text #

FromXML ModelPackageType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelPackageType

Methods

parseXML :: [Node] -> Either String ModelPackageType #

ToXML ModelPackageType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelPackageType

Methods

toXML :: ModelPackageType -> XML #

Generic ModelPackageType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelPackageType

Associated Types

type Rep ModelPackageType :: Type -> Type #

Methods

from :: ModelPackageType -> Rep ModelPackageType x #

to :: Rep ModelPackageType x -> ModelPackageType #

Read ModelPackageType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelPackageType

Methods

readsPrec :: Int -> ReadS ModelPackageType #

readList :: ReadS [ModelPackageType] #

readPrec :: ReadPrec ModelPackageType #

readListPrec :: ReadPrec [ModelPackageType] #

Show ModelPackageType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelPackageType

Methods

showsPrec :: Int -> ModelPackageType -> ShowS #

show :: ModelPackageType -> String #

showList :: [ModelPackageType] -> ShowS #

NFData ModelPackageType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelPackageType

Methods

rnf :: ModelPackageType -> () #

Eq ModelPackageType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelPackageType

Methods

(==) :: ModelPackageType -> ModelPackageType -> Bool #

(/=) :: ModelPackageType -> ModelPackageType -> Bool #

Ord ModelPackageType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelPackageType

Methods

compare :: ModelPackageType -> ModelPackageType -> Ordering #

(<) :: ModelPackageType -> ModelPackageType -> Bool #

(<=) :: ModelPackageType -> ModelPackageType -> Bool #

(>) :: ModelPackageType -> ModelPackageType -> Bool #

(>=) :: ModelPackageType -> ModelPackageType -> Bool #

max :: ModelPackageType -> ModelPackageType -> ModelPackageType #

min :: ModelPackageType -> ModelPackageType -> ModelPackageType #

Hashable ModelPackageType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelPackageType

Methods

hashWithSalt :: Int -> ModelPackageType -> Int #

hash :: ModelPackageType -> Int #

type Rep ModelPackageType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelPackageType

type Rep ModelPackageType = D1 ('MetaData "ModelPackageType" "Amazonka.SageMaker.Types.ModelPackageType" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'True) (C1 ('MetaCons "ModelPackageType'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromModelPackageType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

ModelSortKey

newtype ModelSortKey Source #

Constructors

ModelSortKey' 

Fields

Bundled Patterns

pattern ModelSortKey_CreationTime :: ModelSortKey 
pattern ModelSortKey_Name :: ModelSortKey 

Instances

Instances details
FromJSON ModelSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelSortKey

Methods

parseJSON :: Value -> Parser ModelSortKey #

parseJSONList :: Value -> Parser [ModelSortKey] #

FromJSONKey ModelSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelSortKey

Methods

fromJSONKey :: FromJSONKeyFunction ModelSortKey #

fromJSONKeyList :: FromJSONKeyFunction [ModelSortKey] #

ToJSON ModelSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelSortKey

Methods

toJSON :: ModelSortKey -> Value #

toEncoding :: ModelSortKey -> Encoding #

toJSONList :: [ModelSortKey] -> Value #

toEncodingList :: [ModelSortKey] -> Encoding #

ToJSONKey ModelSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelSortKey

Methods

toJSONKey :: ToJSONKeyFunction ModelSortKey #

toJSONKeyList :: ToJSONKeyFunction [ModelSortKey] #

ToByteString ModelSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelSortKey

Methods

toBS :: ModelSortKey -> ByteString #

ToHeader ModelSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelSortKey

Methods

toHeader :: HeaderName -> ModelSortKey -> [Header] #

ToLog ModelSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelSortKey

Methods

build :: ModelSortKey -> ByteStringBuilder #

ToQuery ModelSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelSortKey

Methods

toQuery :: ModelSortKey -> QueryString #

FromText ModelSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelSortKey

Methods

fromText :: Text -> Either String ModelSortKey #

ToText ModelSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelSortKey

Methods

toText :: ModelSortKey -> Text #

FromXML ModelSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelSortKey

Methods

parseXML :: [Node] -> Either String ModelSortKey #

ToXML ModelSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelSortKey

Methods

toXML :: ModelSortKey -> XML #

Generic ModelSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelSortKey

Associated Types

type Rep ModelSortKey :: Type -> Type #

Methods

from :: ModelSortKey -> Rep ModelSortKey x #

to :: Rep ModelSortKey x -> ModelSortKey #

Read ModelSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelSortKey

Methods

readsPrec :: Int -> ReadS ModelSortKey #

readList :: ReadS [ModelSortKey] #

readPrec :: ReadPrec ModelSortKey #

readListPrec :: ReadPrec [ModelSortKey] #

Show ModelSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelSortKey

Methods

showsPrec :: Int -> ModelSortKey -> ShowS #

show :: ModelSortKey -> String #

showList :: [ModelSortKey] -> ShowS #

NFData ModelSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelSortKey

Methods

rnf :: ModelSortKey -> () #

Eq ModelSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelSortKey

Methods

(==) :: ModelSortKey -> ModelSortKey -> Bool #

(/=) :: ModelSortKey -> ModelSortKey -> Bool #

Ord ModelSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelSortKey

Methods

compare :: ModelSortKey -> ModelSortKey -> Ordering #

(<) :: ModelSortKey -> ModelSortKey -> Bool #

(<=) :: ModelSortKey -> ModelSortKey -> Bool #

(>) :: ModelSortKey -> ModelSortKey -> Bool #

(>=) :: ModelSortKey -> ModelSortKey -> Bool #

max :: ModelSortKey -> ModelSortKey -> ModelSortKey #

min :: ModelSortKey -> ModelSortKey -> ModelSortKey #

Hashable ModelSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelSortKey

Methods

hashWithSalt :: Int -> ModelSortKey -> Int #

hash :: ModelSortKey -> Int #

type Rep ModelSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelSortKey

type Rep ModelSortKey = D1 ('MetaData "ModelSortKey" "Amazonka.SageMaker.Types.ModelSortKey" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'True) (C1 ('MetaCons "ModelSortKey'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromModelSortKey") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

ModelVariantAction

newtype ModelVariantAction Source #

Constructors

ModelVariantAction' 

Fields

Bundled Patterns

pattern ModelVariantAction_Promote :: ModelVariantAction 
pattern ModelVariantAction_Remove :: ModelVariantAction 
pattern ModelVariantAction_Retain :: ModelVariantAction 

Instances

Instances details
FromJSON ModelVariantAction Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelVariantAction

Methods

parseJSON :: Value -> Parser ModelVariantAction #

parseJSONList :: Value -> Parser [ModelVariantAction] #

FromJSONKey ModelVariantAction Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelVariantAction

Methods

fromJSONKey :: FromJSONKeyFunction ModelVariantAction #

fromJSONKeyList :: FromJSONKeyFunction [ModelVariantAction] #

ToJSON ModelVariantAction Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelVariantAction

Methods

toJSON :: ModelVariantAction -> Value #

toEncoding :: ModelVariantAction -> Encoding #

toJSONList :: [ModelVariantAction] -> Value #

toEncodingList :: [ModelVariantAction] -> Encoding #

ToJSONKey ModelVariantAction Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelVariantAction

Methods

toJSONKey :: ToJSONKeyFunction ModelVariantAction #

toJSONKeyList :: ToJSONKeyFunction [ModelVariantAction] #

ToByteString ModelVariantAction Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelVariantAction

Methods

toBS :: ModelVariantAction -> ByteString #

ToHeader ModelVariantAction Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelVariantAction

Methods

toHeader :: HeaderName -> ModelVariantAction -> [Header] #

ToLog ModelVariantAction Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelVariantAction

Methods

build :: ModelVariantAction -> ByteStringBuilder #

ToQuery ModelVariantAction Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelVariantAction

Methods

toQuery :: ModelVariantAction -> QueryString #

FromText ModelVariantAction Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelVariantAction

Methods

fromText :: Text -> Either String ModelVariantAction #

ToText ModelVariantAction Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelVariantAction

Methods

toText :: ModelVariantAction -> Text #

FromXML ModelVariantAction Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelVariantAction

Methods

parseXML :: [Node] -> Either String ModelVariantAction #

ToXML ModelVariantAction Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelVariantAction

Methods

toXML :: ModelVariantAction -> XML #

Generic ModelVariantAction Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelVariantAction

Associated Types

type Rep ModelVariantAction :: Type -> Type #

Methods

from :: ModelVariantAction -> Rep ModelVariantAction x #

to :: Rep ModelVariantAction x -> ModelVariantAction #

Read ModelVariantAction Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelVariantAction

Methods

readsPrec :: Int -> ReadS ModelVariantAction #

readList :: ReadS [ModelVariantAction] #

readPrec :: ReadPrec ModelVariantAction #

readListPrec :: ReadPrec [ModelVariantAction] #

Show ModelVariantAction Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelVariantAction

Methods

showsPrec :: Int -> ModelVariantAction -> ShowS #

show :: ModelVariantAction -> String #

showList :: [ModelVariantAction] -> ShowS #

NFData ModelVariantAction Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelVariantAction

Methods

rnf :: ModelVariantAction -> () #

Eq ModelVariantAction Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelVariantAction

Methods

(==) :: ModelVariantAction -> ModelVariantAction -> Bool #

(/=) :: ModelVariantAction -> ModelVariantAction -> Bool #

Ord ModelVariantAction Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelVariantAction

Methods

compare :: ModelVariantAction -> ModelVariantAction -> Ordering #

(<) :: ModelVariantAction -> ModelVariantAction -> Bool #

(<=) :: ModelVariantAction -> ModelVariantAction -> Bool #

(>) :: ModelVariantAction -> ModelVariantAction -> Bool #

(>=) :: ModelVariantAction -> ModelVariantAction -> Bool #

max :: ModelVariantAction -> ModelVariantAction -> ModelVariantAction #

min :: ModelVariantAction -> ModelVariantAction -> ModelVariantAction #

Hashable ModelVariantAction Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelVariantAction

Methods

hashWithSalt :: Int -> ModelVariantAction -> Int #

hash :: ModelVariantAction -> Int #

type Rep ModelVariantAction Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelVariantAction

type Rep ModelVariantAction = D1 ('MetaData "ModelVariantAction" "Amazonka.SageMaker.Types.ModelVariantAction" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'True) (C1 ('MetaCons "ModelVariantAction'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromModelVariantAction") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

ModelVariantStatus

newtype ModelVariantStatus Source #

Constructors

ModelVariantStatus' 

Fields

Bundled Patterns

pattern ModelVariantStatus_Creating :: ModelVariantStatus 
pattern ModelVariantStatus_Deleted :: ModelVariantStatus 
pattern ModelVariantStatus_Deleting :: ModelVariantStatus 
pattern ModelVariantStatus_InService :: ModelVariantStatus 
pattern ModelVariantStatus_Updating :: ModelVariantStatus 

Instances

Instances details
FromJSON ModelVariantStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelVariantStatus

Methods

parseJSON :: Value -> Parser ModelVariantStatus #

parseJSONList :: Value -> Parser [ModelVariantStatus] #

FromJSONKey ModelVariantStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelVariantStatus

Methods

fromJSONKey :: FromJSONKeyFunction ModelVariantStatus #

fromJSONKeyList :: FromJSONKeyFunction [ModelVariantStatus] #

ToJSON ModelVariantStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelVariantStatus

Methods

toJSON :: ModelVariantStatus -> Value #

toEncoding :: ModelVariantStatus -> Encoding #

toJSONList :: [ModelVariantStatus] -> Value #

toEncodingList :: [ModelVariantStatus] -> Encoding #

ToJSONKey ModelVariantStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelVariantStatus

Methods

toJSONKey :: ToJSONKeyFunction ModelVariantStatus #

toJSONKeyList :: ToJSONKeyFunction [ModelVariantStatus] #

ToByteString ModelVariantStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelVariantStatus

Methods

toBS :: ModelVariantStatus -> ByteString #

ToHeader ModelVariantStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelVariantStatus

Methods

toHeader :: HeaderName -> ModelVariantStatus -> [Header] #

ToLog ModelVariantStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelVariantStatus

Methods

build :: ModelVariantStatus -> ByteStringBuilder #

ToQuery ModelVariantStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelVariantStatus

Methods

toQuery :: ModelVariantStatus -> QueryString #

FromText ModelVariantStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelVariantStatus

Methods

fromText :: Text -> Either String ModelVariantStatus #

ToText ModelVariantStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelVariantStatus

Methods

toText :: ModelVariantStatus -> Text #

FromXML ModelVariantStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelVariantStatus

Methods

parseXML :: [Node] -> Either String ModelVariantStatus #

ToXML ModelVariantStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelVariantStatus

Methods

toXML :: ModelVariantStatus -> XML #

Generic ModelVariantStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelVariantStatus

Associated Types

type Rep ModelVariantStatus :: Type -> Type #

Methods

from :: ModelVariantStatus -> Rep ModelVariantStatus x #

to :: Rep ModelVariantStatus x -> ModelVariantStatus #

Read ModelVariantStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelVariantStatus

Methods

readsPrec :: Int -> ReadS ModelVariantStatus #

readList :: ReadS [ModelVariantStatus] #

readPrec :: ReadPrec ModelVariantStatus #

readListPrec :: ReadPrec [ModelVariantStatus] #

Show ModelVariantStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelVariantStatus

Methods

showsPrec :: Int -> ModelVariantStatus -> ShowS #

show :: ModelVariantStatus -> String #

showList :: [ModelVariantStatus] -> ShowS #

NFData ModelVariantStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelVariantStatus

Methods

rnf :: ModelVariantStatus -> () #

Eq ModelVariantStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelVariantStatus

Methods

(==) :: ModelVariantStatus -> ModelVariantStatus -> Bool #

(/=) :: ModelVariantStatus -> ModelVariantStatus -> Bool #

Ord ModelVariantStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelVariantStatus

Methods

compare :: ModelVariantStatus -> ModelVariantStatus -> Ordering #

(<) :: ModelVariantStatus -> ModelVariantStatus -> Bool #

(<=) :: ModelVariantStatus -> ModelVariantStatus -> Bool #

(>) :: ModelVariantStatus -> ModelVariantStatus -> Bool #

(>=) :: ModelVariantStatus -> ModelVariantStatus -> Bool #

max :: ModelVariantStatus -> ModelVariantStatus -> ModelVariantStatus #

min :: ModelVariantStatus -> ModelVariantStatus -> ModelVariantStatus #

Hashable ModelVariantStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelVariantStatus

Methods

hashWithSalt :: Int -> ModelVariantStatus -> Int #

hash :: ModelVariantStatus -> Int #

type Rep ModelVariantStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelVariantStatus

type Rep ModelVariantStatus = D1 ('MetaData "ModelVariantStatus" "Amazonka.SageMaker.Types.ModelVariantStatus" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'True) (C1 ('MetaCons "ModelVariantStatus'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromModelVariantStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

MonitoringAlertHistorySortKey

newtype MonitoringAlertHistorySortKey Source #

Constructors

MonitoringAlertHistorySortKey' 

Fields

Bundled Patterns

pattern MonitoringAlertHistorySortKey_CreationTime :: MonitoringAlertHistorySortKey 
pattern MonitoringAlertHistorySortKey_Status :: MonitoringAlertHistorySortKey 

Instances

Instances details
FromJSON MonitoringAlertHistorySortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringAlertHistorySortKey

Methods

parseJSON :: Value -> Parser MonitoringAlertHistorySortKey #

parseJSONList :: Value -> Parser [MonitoringAlertHistorySortKey] #

FromJSONKey MonitoringAlertHistorySortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringAlertHistorySortKey

Methods

fromJSONKey :: FromJSONKeyFunction MonitoringAlertHistorySortKey #

fromJSONKeyList :: FromJSONKeyFunction [MonitoringAlertHistorySortKey] #

ToJSON MonitoringAlertHistorySortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringAlertHistorySortKey

Methods

toJSON :: MonitoringAlertHistorySortKey -> Value #

toEncoding :: MonitoringAlertHistorySortKey -> Encoding #

toJSONList :: [MonitoringAlertHistorySortKey] -> Value #

toEncodingList :: [MonitoringAlertHistorySortKey] -> Encoding #

ToJSONKey MonitoringAlertHistorySortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringAlertHistorySortKey

Methods

toJSONKey :: ToJSONKeyFunction MonitoringAlertHistorySortKey #

toJSONKeyList :: ToJSONKeyFunction [MonitoringAlertHistorySortKey] #

ToByteString MonitoringAlertHistorySortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringAlertHistorySortKey

Methods

toBS :: MonitoringAlertHistorySortKey -> ByteString #

ToHeader MonitoringAlertHistorySortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringAlertHistorySortKey

Methods

toHeader :: HeaderName -> MonitoringAlertHistorySortKey -> [Header] #

ToLog MonitoringAlertHistorySortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringAlertHistorySortKey

Methods

build :: MonitoringAlertHistorySortKey -> ByteStringBuilder #

ToQuery MonitoringAlertHistorySortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringAlertHistorySortKey

Methods

toQuery :: MonitoringAlertHistorySortKey -> QueryString #

FromText MonitoringAlertHistorySortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringAlertHistorySortKey

Methods

fromText :: Text -> Either String MonitoringAlertHistorySortKey #

ToText MonitoringAlertHistorySortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringAlertHistorySortKey

Methods

toText :: MonitoringAlertHistorySortKey -> Text #

FromXML MonitoringAlertHistorySortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringAlertHistorySortKey

Methods

parseXML :: [Node] -> Either String MonitoringAlertHistorySortKey #

ToXML MonitoringAlertHistorySortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringAlertHistorySortKey

Methods

toXML :: MonitoringAlertHistorySortKey -> XML #

Generic MonitoringAlertHistorySortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringAlertHistorySortKey

Associated Types

type Rep MonitoringAlertHistorySortKey :: Type -> Type #

Methods

from :: MonitoringAlertHistorySortKey -> Rep MonitoringAlertHistorySortKey x #

to :: Rep MonitoringAlertHistorySortKey x -> MonitoringAlertHistorySortKey #

Read MonitoringAlertHistorySortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringAlertHistorySortKey

Methods

readsPrec :: Int -> ReadS MonitoringAlertHistorySortKey #

readList :: ReadS [MonitoringAlertHistorySortKey] #

readPrec :: ReadPrec MonitoringAlertHistorySortKey #

readListPrec :: ReadPrec [MonitoringAlertHistorySortKey] #

Show MonitoringAlertHistorySortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringAlertHistorySortKey

Methods

showsPrec :: Int -> MonitoringAlertHistorySortKey -> ShowS #

show :: MonitoringAlertHistorySortKey -> String #

showList :: [MonitoringAlertHistorySortKey] -> ShowS #

NFData MonitoringAlertHistorySortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringAlertHistorySortKey

Methods

rnf :: MonitoringAlertHistorySortKey -> () #

Eq MonitoringAlertHistorySortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringAlertHistorySortKey

Methods

(==) :: MonitoringAlertHistorySortKey -> MonitoringAlertHistorySortKey -> Bool #

(/=) :: MonitoringAlertHistorySortKey -> MonitoringAlertHistorySortKey -> Bool #

Ord MonitoringAlertHistorySortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringAlertHistorySortKey

Methods

compare :: MonitoringAlertHistorySortKey -> MonitoringAlertHistorySortKey -> Ordering #

(<) :: MonitoringAlertHistorySortKey -> MonitoringAlertHistorySortKey -> Bool #

(<=) :: MonitoringAlertHistorySortKey -> MonitoringAlertHistorySortKey -> Bool #

(>) :: MonitoringAlertHistorySortKey -> MonitoringAlertHistorySortKey -> Bool #

(>=) :: MonitoringAlertHistorySortKey -> MonitoringAlertHistorySortKey -> Bool #

max :: MonitoringAlertHistorySortKey -> MonitoringAlertHistorySortKey -> MonitoringAlertHistorySortKey #

min :: MonitoringAlertHistorySortKey -> MonitoringAlertHistorySortKey -> MonitoringAlertHistorySortKey #

Hashable MonitoringAlertHistorySortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringAlertHistorySortKey

Methods

hashWithSalt :: Int -> MonitoringAlertHistorySortKey -> Int #

hash :: MonitoringAlertHistorySortKey -> Int #

type Rep MonitoringAlertHistorySortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringAlertHistorySortKey

type Rep MonitoringAlertHistorySortKey = D1 ('MetaData "MonitoringAlertHistorySortKey" "Amazonka.SageMaker.Types.MonitoringAlertHistorySortKey" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'True) (C1 ('MetaCons "MonitoringAlertHistorySortKey'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromMonitoringAlertHistorySortKey") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

MonitoringAlertStatus

newtype MonitoringAlertStatus Source #

Constructors

MonitoringAlertStatus' 

Fields

Bundled Patterns

pattern MonitoringAlertStatus_InAlert :: MonitoringAlertStatus 
pattern MonitoringAlertStatus_OK :: MonitoringAlertStatus 

Instances

Instances details
FromJSON MonitoringAlertStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringAlertStatus

Methods

parseJSON :: Value -> Parser MonitoringAlertStatus #

parseJSONList :: Value -> Parser [MonitoringAlertStatus] #

FromJSONKey MonitoringAlertStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringAlertStatus

Methods

fromJSONKey :: FromJSONKeyFunction MonitoringAlertStatus #

fromJSONKeyList :: FromJSONKeyFunction [MonitoringAlertStatus] #

ToJSON MonitoringAlertStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringAlertStatus

Methods

toJSON :: MonitoringAlertStatus -> Value #

toEncoding :: MonitoringAlertStatus -> Encoding #

toJSONList :: [MonitoringAlertStatus] -> Value #

toEncodingList :: [MonitoringAlertStatus] -> Encoding #

ToJSONKey MonitoringAlertStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringAlertStatus

Methods

toJSONKey :: ToJSONKeyFunction MonitoringAlertStatus #

toJSONKeyList :: ToJSONKeyFunction [MonitoringAlertStatus] #

ToByteString MonitoringAlertStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringAlertStatus

Methods

toBS :: MonitoringAlertStatus -> ByteString #

ToHeader MonitoringAlertStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringAlertStatus

Methods

toHeader :: HeaderName -> MonitoringAlertStatus -> [Header] #

ToLog MonitoringAlertStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringAlertStatus

Methods

build :: MonitoringAlertStatus -> ByteStringBuilder #

ToQuery MonitoringAlertStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringAlertStatus

Methods

toQuery :: MonitoringAlertStatus -> QueryString #

FromText MonitoringAlertStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringAlertStatus

Methods

fromText :: Text -> Either String MonitoringAlertStatus #

ToText MonitoringAlertStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringAlertStatus

Methods

toText :: MonitoringAlertStatus -> Text #

FromXML MonitoringAlertStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringAlertStatus

Methods

parseXML :: [Node] -> Either String MonitoringAlertStatus #

ToXML MonitoringAlertStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringAlertStatus

Methods

toXML :: MonitoringAlertStatus -> XML #

Generic MonitoringAlertStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringAlertStatus

Associated Types

type Rep MonitoringAlertStatus :: Type -> Type #

Methods

from :: MonitoringAlertStatus -> Rep MonitoringAlertStatus x #

to :: Rep MonitoringAlertStatus x -> MonitoringAlertStatus #

Read MonitoringAlertStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringAlertStatus

Methods

readsPrec :: Int -> ReadS MonitoringAlertStatus #

readList :: ReadS [MonitoringAlertStatus] #

readPrec :: ReadPrec MonitoringAlertStatus #

readListPrec :: ReadPrec [MonitoringAlertStatus] #

Show MonitoringAlertStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringAlertStatus

Methods

showsPrec :: Int -> MonitoringAlertStatus -> ShowS #

show :: MonitoringAlertStatus -> String #

showList :: [MonitoringAlertStatus] -> ShowS #

NFData MonitoringAlertStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringAlertStatus

Methods

rnf :: MonitoringAlertStatus -> () #

Eq MonitoringAlertStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringAlertStatus

Methods

(==) :: MonitoringAlertStatus -> MonitoringAlertStatus -> Bool #

(/=) :: MonitoringAlertStatus -> MonitoringAlertStatus -> Bool #

Ord MonitoringAlertStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringAlertStatus

Methods

compare :: MonitoringAlertStatus -> MonitoringAlertStatus -> Ordering #

(<) :: MonitoringAlertStatus -> MonitoringAlertStatus -> Bool #

(<=) :: MonitoringAlertStatus -> MonitoringAlertStatus -> Bool #

(>) :: MonitoringAlertStatus -> MonitoringAlertStatus -> Bool #

(>=) :: MonitoringAlertStatus -> MonitoringAlertStatus -> Bool #

max :: MonitoringAlertStatus -> MonitoringAlertStatus -> MonitoringAlertStatus #

min :: MonitoringAlertStatus -> MonitoringAlertStatus -> MonitoringAlertStatus #

Hashable MonitoringAlertStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringAlertStatus

Methods

hashWithSalt :: Int -> MonitoringAlertStatus -> Int #

hash :: MonitoringAlertStatus -> Int #

type Rep MonitoringAlertStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringAlertStatus

type Rep MonitoringAlertStatus = D1 ('MetaData "MonitoringAlertStatus" "Amazonka.SageMaker.Types.MonitoringAlertStatus" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'True) (C1 ('MetaCons "MonitoringAlertStatus'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromMonitoringAlertStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

MonitoringExecutionSortKey

newtype MonitoringExecutionSortKey Source #

Constructors

MonitoringExecutionSortKey' 

Fields

Bundled Patterns

pattern MonitoringExecutionSortKey_CreationTime :: MonitoringExecutionSortKey 
pattern MonitoringExecutionSortKey_ScheduledTime :: MonitoringExecutionSortKey 
pattern MonitoringExecutionSortKey_Status :: MonitoringExecutionSortKey 

Instances

Instances details
FromJSON MonitoringExecutionSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringExecutionSortKey

Methods

parseJSON :: Value -> Parser MonitoringExecutionSortKey #

parseJSONList :: Value -> Parser [MonitoringExecutionSortKey] #

FromJSONKey MonitoringExecutionSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringExecutionSortKey

Methods

fromJSONKey :: FromJSONKeyFunction MonitoringExecutionSortKey #

fromJSONKeyList :: FromJSONKeyFunction [MonitoringExecutionSortKey] #

ToJSON MonitoringExecutionSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringExecutionSortKey

Methods

toJSON :: MonitoringExecutionSortKey -> Value #

toEncoding :: MonitoringExecutionSortKey -> Encoding #

toJSONList :: [MonitoringExecutionSortKey] -> Value #

toEncodingList :: [MonitoringExecutionSortKey] -> Encoding #

ToJSONKey MonitoringExecutionSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringExecutionSortKey

Methods

toJSONKey :: ToJSONKeyFunction MonitoringExecutionSortKey #

toJSONKeyList :: ToJSONKeyFunction [MonitoringExecutionSortKey] #

ToByteString MonitoringExecutionSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringExecutionSortKey

Methods

toBS :: MonitoringExecutionSortKey -> ByteString #

ToHeader MonitoringExecutionSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringExecutionSortKey

Methods

toHeader :: HeaderName -> MonitoringExecutionSortKey -> [Header] #

ToLog MonitoringExecutionSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringExecutionSortKey

Methods

build :: MonitoringExecutionSortKey -> ByteStringBuilder #

ToQuery MonitoringExecutionSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringExecutionSortKey

Methods

toQuery :: MonitoringExecutionSortKey -> QueryString #

FromText MonitoringExecutionSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringExecutionSortKey

Methods

fromText :: Text -> Either String MonitoringExecutionSortKey #

ToText MonitoringExecutionSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringExecutionSortKey

Methods

toText :: MonitoringExecutionSortKey -> Text #

FromXML MonitoringExecutionSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringExecutionSortKey

Methods

parseXML :: [Node] -> Either String MonitoringExecutionSortKey #

ToXML MonitoringExecutionSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringExecutionSortKey

Methods

toXML :: MonitoringExecutionSortKey -> XML #

Generic MonitoringExecutionSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringExecutionSortKey

Associated Types

type Rep MonitoringExecutionSortKey :: Type -> Type #

Methods

from :: MonitoringExecutionSortKey -> Rep MonitoringExecutionSortKey x #

to :: Rep MonitoringExecutionSortKey x -> MonitoringExecutionSortKey #

Read MonitoringExecutionSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringExecutionSortKey

Methods

readsPrec :: Int -> ReadS MonitoringExecutionSortKey #

readList :: ReadS [MonitoringExecutionSortKey] #

readPrec :: ReadPrec MonitoringExecutionSortKey #

readListPrec :: ReadPrec [MonitoringExecutionSortKey] #

Show MonitoringExecutionSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringExecutionSortKey

Methods

showsPrec :: Int -> MonitoringExecutionSortKey -> ShowS #

show :: MonitoringExecutionSortKey -> String #

showList :: [MonitoringExecutionSortKey] -> ShowS #

NFData MonitoringExecutionSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringExecutionSortKey

Methods

rnf :: MonitoringExecutionSortKey -> () #

Eq MonitoringExecutionSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringExecutionSortKey

Methods

(==) :: MonitoringExecutionSortKey -> MonitoringExecutionSortKey -> Bool #

(/=) :: MonitoringExecutionSortKey -> MonitoringExecutionSortKey -> Bool #

Ord MonitoringExecutionSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringExecutionSortKey

Methods

compare :: MonitoringExecutionSortKey -> MonitoringExecutionSortKey -> Ordering #

(<) :: MonitoringExecutionSortKey -> MonitoringExecutionSortKey -> Bool #

(<=) :: MonitoringExecutionSortKey -> MonitoringExecutionSortKey -> Bool #

(>) :: MonitoringExecutionSortKey -> MonitoringExecutionSortKey -> Bool #

(>=) :: MonitoringExecutionSortKey -> MonitoringExecutionSortKey -> Bool #

max :: MonitoringExecutionSortKey -> MonitoringExecutionSortKey -> MonitoringExecutionSortKey #

min :: MonitoringExecutionSortKey -> MonitoringExecutionSortKey -> MonitoringExecutionSortKey #

Hashable MonitoringExecutionSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringExecutionSortKey

Methods

hashWithSalt :: Int -> MonitoringExecutionSortKey -> Int #

hash :: MonitoringExecutionSortKey -> Int #

type Rep MonitoringExecutionSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringExecutionSortKey

type Rep MonitoringExecutionSortKey = D1 ('MetaData "MonitoringExecutionSortKey" "Amazonka.SageMaker.Types.MonitoringExecutionSortKey" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'True) (C1 ('MetaCons "MonitoringExecutionSortKey'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromMonitoringExecutionSortKey") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

MonitoringJobDefinitionSortKey

newtype MonitoringJobDefinitionSortKey Source #

Constructors

MonitoringJobDefinitionSortKey' 

Fields

Bundled Patterns

pattern MonitoringJobDefinitionSortKey_CreationTime :: MonitoringJobDefinitionSortKey 
pattern MonitoringJobDefinitionSortKey_Name :: MonitoringJobDefinitionSortKey 

Instances

Instances details
FromJSON MonitoringJobDefinitionSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringJobDefinitionSortKey

Methods

parseJSON :: Value -> Parser MonitoringJobDefinitionSortKey #

parseJSONList :: Value -> Parser [MonitoringJobDefinitionSortKey] #

FromJSONKey MonitoringJobDefinitionSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringJobDefinitionSortKey

Methods

fromJSONKey :: FromJSONKeyFunction MonitoringJobDefinitionSortKey #

fromJSONKeyList :: FromJSONKeyFunction [MonitoringJobDefinitionSortKey] #

ToJSON MonitoringJobDefinitionSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringJobDefinitionSortKey

Methods

toJSON :: MonitoringJobDefinitionSortKey -> Value #

toEncoding :: MonitoringJobDefinitionSortKey -> Encoding #

toJSONList :: [MonitoringJobDefinitionSortKey] -> Value #

toEncodingList :: [MonitoringJobDefinitionSortKey] -> Encoding #

ToJSONKey MonitoringJobDefinitionSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringJobDefinitionSortKey

Methods

toJSONKey :: ToJSONKeyFunction MonitoringJobDefinitionSortKey #

toJSONKeyList :: ToJSONKeyFunction [MonitoringJobDefinitionSortKey] #

ToByteString MonitoringJobDefinitionSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringJobDefinitionSortKey

Methods

toBS :: MonitoringJobDefinitionSortKey -> ByteString #

ToHeader MonitoringJobDefinitionSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringJobDefinitionSortKey

Methods

toHeader :: HeaderName -> MonitoringJobDefinitionSortKey -> [Header] #

ToLog MonitoringJobDefinitionSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringJobDefinitionSortKey

Methods

build :: MonitoringJobDefinitionSortKey -> ByteStringBuilder #

ToQuery MonitoringJobDefinitionSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringJobDefinitionSortKey

Methods

toQuery :: MonitoringJobDefinitionSortKey -> QueryString #

FromText MonitoringJobDefinitionSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringJobDefinitionSortKey

Methods

fromText :: Text -> Either String MonitoringJobDefinitionSortKey #

ToText MonitoringJobDefinitionSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringJobDefinitionSortKey

Methods

toText :: MonitoringJobDefinitionSortKey -> Text #

FromXML MonitoringJobDefinitionSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringJobDefinitionSortKey

Methods

parseXML :: [Node] -> Either String MonitoringJobDefinitionSortKey #

ToXML MonitoringJobDefinitionSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringJobDefinitionSortKey

Methods

toXML :: MonitoringJobDefinitionSortKey -> XML #

Generic MonitoringJobDefinitionSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringJobDefinitionSortKey

Associated Types

type Rep MonitoringJobDefinitionSortKey :: Type -> Type #

Methods

from :: MonitoringJobDefinitionSortKey -> Rep MonitoringJobDefinitionSortKey x #

to :: Rep MonitoringJobDefinitionSortKey x -> MonitoringJobDefinitionSortKey #

Read MonitoringJobDefinitionSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringJobDefinitionSortKey

Methods

readsPrec :: Int -> ReadS MonitoringJobDefinitionSortKey #

readList :: ReadS [MonitoringJobDefinitionSortKey] #

readPrec :: ReadPrec MonitoringJobDefinitionSortKey #

readListPrec :: ReadPrec [MonitoringJobDefinitionSortKey] #

Show MonitoringJobDefinitionSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringJobDefinitionSortKey

Methods

showsPrec :: Int -> MonitoringJobDefinitionSortKey -> ShowS #

show :: MonitoringJobDefinitionSortKey -> String #

showList :: [MonitoringJobDefinitionSortKey] -> ShowS #

NFData MonitoringJobDefinitionSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringJobDefinitionSortKey

Methods

rnf :: MonitoringJobDefinitionSortKey -> () #

Eq MonitoringJobDefinitionSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringJobDefinitionSortKey

Methods

(==) :: MonitoringJobDefinitionSortKey -> MonitoringJobDefinitionSortKey -> Bool #

(/=) :: MonitoringJobDefinitionSortKey -> MonitoringJobDefinitionSortKey -> Bool #

Ord MonitoringJobDefinitionSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringJobDefinitionSortKey

Methods

compare :: MonitoringJobDefinitionSortKey -> MonitoringJobDefinitionSortKey -> Ordering #

(<) :: MonitoringJobDefinitionSortKey -> MonitoringJobDefinitionSortKey -> Bool #

(<=) :: MonitoringJobDefinitionSortKey -> MonitoringJobDefinitionSortKey -> Bool #

(>) :: MonitoringJobDefinitionSortKey -> MonitoringJobDefinitionSortKey -> Bool #

(>=) :: MonitoringJobDefinitionSortKey -> MonitoringJobDefinitionSortKey -> Bool #

max :: MonitoringJobDefinitionSortKey -> MonitoringJobDefinitionSortKey -> MonitoringJobDefinitionSortKey #

min :: MonitoringJobDefinitionSortKey -> MonitoringJobDefinitionSortKey -> MonitoringJobDefinitionSortKey #

Hashable MonitoringJobDefinitionSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringJobDefinitionSortKey

Methods

hashWithSalt :: Int -> MonitoringJobDefinitionSortKey -> Int #

hash :: MonitoringJobDefinitionSortKey -> Int #

type Rep MonitoringJobDefinitionSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringJobDefinitionSortKey

type Rep MonitoringJobDefinitionSortKey = D1 ('MetaData "MonitoringJobDefinitionSortKey" "Amazonka.SageMaker.Types.MonitoringJobDefinitionSortKey" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'True) (C1 ('MetaCons "MonitoringJobDefinitionSortKey'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromMonitoringJobDefinitionSortKey") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

MonitoringProblemType

newtype MonitoringProblemType Source #

Constructors

MonitoringProblemType' 

Fields

Bundled Patterns

pattern MonitoringProblemType_BinaryClassification :: MonitoringProblemType 
pattern MonitoringProblemType_MulticlassClassification :: MonitoringProblemType 
pattern MonitoringProblemType_Regression :: MonitoringProblemType 

Instances

Instances details
FromJSON MonitoringProblemType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringProblemType

Methods

parseJSON :: Value -> Parser MonitoringProblemType #

parseJSONList :: Value -> Parser [MonitoringProblemType] #

FromJSONKey MonitoringProblemType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringProblemType

Methods

fromJSONKey :: FromJSONKeyFunction MonitoringProblemType #

fromJSONKeyList :: FromJSONKeyFunction [MonitoringProblemType] #

ToJSON MonitoringProblemType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringProblemType

Methods

toJSON :: MonitoringProblemType -> Value #

toEncoding :: MonitoringProblemType -> Encoding #

toJSONList :: [MonitoringProblemType] -> Value #

toEncodingList :: [MonitoringProblemType] -> Encoding #

ToJSONKey MonitoringProblemType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringProblemType

Methods

toJSONKey :: ToJSONKeyFunction MonitoringProblemType #

toJSONKeyList :: ToJSONKeyFunction [MonitoringProblemType] #

ToByteString MonitoringProblemType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringProblemType

Methods

toBS :: MonitoringProblemType -> ByteString #

ToHeader MonitoringProblemType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringProblemType

Methods

toHeader :: HeaderName -> MonitoringProblemType -> [Header] #

ToLog MonitoringProblemType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringProblemType

Methods

build :: MonitoringProblemType -> ByteStringBuilder #

ToQuery MonitoringProblemType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringProblemType

Methods

toQuery :: MonitoringProblemType -> QueryString #

FromText MonitoringProblemType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringProblemType

Methods

fromText :: Text -> Either String MonitoringProblemType #

ToText MonitoringProblemType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringProblemType

Methods

toText :: MonitoringProblemType -> Text #

FromXML MonitoringProblemType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringProblemType

Methods

parseXML :: [Node] -> Either String MonitoringProblemType #

ToXML MonitoringProblemType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringProblemType

Methods

toXML :: MonitoringProblemType -> XML #

Generic MonitoringProblemType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringProblemType

Associated Types

type Rep MonitoringProblemType :: Type -> Type #

Methods

from :: MonitoringProblemType -> Rep MonitoringProblemType x #

to :: Rep MonitoringProblemType x -> MonitoringProblemType #

Read MonitoringProblemType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringProblemType

Methods

readsPrec :: Int -> ReadS MonitoringProblemType #

readList :: ReadS [MonitoringProblemType] #

readPrec :: ReadPrec MonitoringProblemType #

readListPrec :: ReadPrec [MonitoringProblemType] #

Show MonitoringProblemType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringProblemType

Methods

showsPrec :: Int -> MonitoringProblemType -> ShowS #

show :: MonitoringProblemType -> String #

showList :: [MonitoringProblemType] -> ShowS #

NFData MonitoringProblemType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringProblemType

Methods

rnf :: MonitoringProblemType -> () #

Eq MonitoringProblemType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringProblemType

Methods

(==) :: MonitoringProblemType -> MonitoringProblemType -> Bool #

(/=) :: MonitoringProblemType -> MonitoringProblemType -> Bool #

Ord MonitoringProblemType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringProblemType

Methods

compare :: MonitoringProblemType -> MonitoringProblemType -> Ordering #

(<) :: MonitoringProblemType -> MonitoringProblemType -> Bool #

(<=) :: MonitoringProblemType -> MonitoringProblemType -> Bool #

(>) :: MonitoringProblemType -> MonitoringProblemType -> Bool #

(>=) :: MonitoringProblemType -> MonitoringProblemType -> Bool #

max :: MonitoringProblemType -> MonitoringProblemType -> MonitoringProblemType #

min :: MonitoringProblemType -> MonitoringProblemType -> MonitoringProblemType #

Hashable MonitoringProblemType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringProblemType

Methods

hashWithSalt :: Int -> MonitoringProblemType -> Int #

hash :: MonitoringProblemType -> Int #

type Rep MonitoringProblemType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringProblemType

type Rep MonitoringProblemType = D1 ('MetaData "MonitoringProblemType" "Amazonka.SageMaker.Types.MonitoringProblemType" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'True) (C1 ('MetaCons "MonitoringProblemType'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromMonitoringProblemType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

MonitoringScheduleSortKey

newtype MonitoringScheduleSortKey Source #

Constructors

MonitoringScheduleSortKey' 

Fields

Bundled Patterns

pattern MonitoringScheduleSortKey_CreationTime :: MonitoringScheduleSortKey 
pattern MonitoringScheduleSortKey_Name :: MonitoringScheduleSortKey 
pattern MonitoringScheduleSortKey_Status :: MonitoringScheduleSortKey 

Instances

Instances details
FromJSON MonitoringScheduleSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringScheduleSortKey

Methods

parseJSON :: Value -> Parser MonitoringScheduleSortKey #

parseJSONList :: Value -> Parser [MonitoringScheduleSortKey] #

FromJSONKey MonitoringScheduleSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringScheduleSortKey

Methods

fromJSONKey :: FromJSONKeyFunction MonitoringScheduleSortKey #

fromJSONKeyList :: FromJSONKeyFunction [MonitoringScheduleSortKey] #

ToJSON MonitoringScheduleSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringScheduleSortKey

Methods

toJSON :: MonitoringScheduleSortKey -> Value #

toEncoding :: MonitoringScheduleSortKey -> Encoding #

toJSONList :: [MonitoringScheduleSortKey] -> Value #

toEncodingList :: [MonitoringScheduleSortKey] -> Encoding #

ToJSONKey MonitoringScheduleSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringScheduleSortKey

Methods

toJSONKey :: ToJSONKeyFunction MonitoringScheduleSortKey #

toJSONKeyList :: ToJSONKeyFunction [MonitoringScheduleSortKey] #

ToByteString MonitoringScheduleSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringScheduleSortKey

Methods

toBS :: MonitoringScheduleSortKey -> ByteString #

ToHeader MonitoringScheduleSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringScheduleSortKey

Methods

toHeader :: HeaderName -> MonitoringScheduleSortKey -> [Header] #

ToLog MonitoringScheduleSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringScheduleSortKey

Methods

build :: MonitoringScheduleSortKey -> ByteStringBuilder #

ToQuery MonitoringScheduleSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringScheduleSortKey

Methods

toQuery :: MonitoringScheduleSortKey -> QueryString #

FromText MonitoringScheduleSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringScheduleSortKey

Methods

fromText :: Text -> Either String MonitoringScheduleSortKey #

ToText MonitoringScheduleSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringScheduleSortKey

Methods

toText :: MonitoringScheduleSortKey -> Text #

FromXML MonitoringScheduleSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringScheduleSortKey

Methods

parseXML :: [Node] -> Either String MonitoringScheduleSortKey #

ToXML MonitoringScheduleSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringScheduleSortKey

Methods

toXML :: MonitoringScheduleSortKey -> XML #

Generic MonitoringScheduleSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringScheduleSortKey

Associated Types

type Rep MonitoringScheduleSortKey :: Type -> Type #

Methods

from :: MonitoringScheduleSortKey -> Rep MonitoringScheduleSortKey x #

to :: Rep MonitoringScheduleSortKey x -> MonitoringScheduleSortKey #

Read MonitoringScheduleSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringScheduleSortKey

Methods

readsPrec :: Int -> ReadS MonitoringScheduleSortKey #

readList :: ReadS [MonitoringScheduleSortKey] #

readPrec :: ReadPrec MonitoringScheduleSortKey #

readListPrec :: ReadPrec [MonitoringScheduleSortKey] #

Show MonitoringScheduleSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringScheduleSortKey

Methods

showsPrec :: Int -> MonitoringScheduleSortKey -> ShowS #

show :: MonitoringScheduleSortKey -> String #

showList :: [MonitoringScheduleSortKey] -> ShowS #

NFData MonitoringScheduleSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringScheduleSortKey

Methods

rnf :: MonitoringScheduleSortKey -> () #

Eq MonitoringScheduleSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringScheduleSortKey

Methods

(==) :: MonitoringScheduleSortKey -> MonitoringScheduleSortKey -> Bool #

(/=) :: MonitoringScheduleSortKey -> MonitoringScheduleSortKey -> Bool #

Ord MonitoringScheduleSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringScheduleSortKey

Methods

compare :: MonitoringScheduleSortKey -> MonitoringScheduleSortKey -> Ordering #

(<) :: MonitoringScheduleSortKey -> MonitoringScheduleSortKey -> Bool #

(<=) :: MonitoringScheduleSortKey -> MonitoringScheduleSortKey -> Bool #

(>) :: MonitoringScheduleSortKey -> MonitoringScheduleSortKey -> Bool #

(>=) :: MonitoringScheduleSortKey -> MonitoringScheduleSortKey -> Bool #

max :: MonitoringScheduleSortKey -> MonitoringScheduleSortKey -> MonitoringScheduleSortKey #

min :: MonitoringScheduleSortKey -> MonitoringScheduleSortKey -> MonitoringScheduleSortKey #

Hashable MonitoringScheduleSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringScheduleSortKey

Methods

hashWithSalt :: Int -> MonitoringScheduleSortKey -> Int #

hash :: MonitoringScheduleSortKey -> Int #

type Rep MonitoringScheduleSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringScheduleSortKey

type Rep MonitoringScheduleSortKey = D1 ('MetaData "MonitoringScheduleSortKey" "Amazonka.SageMaker.Types.MonitoringScheduleSortKey" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'True) (C1 ('MetaCons "MonitoringScheduleSortKey'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromMonitoringScheduleSortKey") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

MonitoringType

newtype MonitoringType Source #

Constructors

MonitoringType' 

Fields

Bundled Patterns

pattern MonitoringType_DataQuality :: MonitoringType 
pattern MonitoringType_ModelBias :: MonitoringType 
pattern MonitoringType_ModelExplainability :: MonitoringType 
pattern MonitoringType_ModelQuality :: MonitoringType 

Instances

Instances details
FromJSON MonitoringType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringType

Methods

parseJSON :: Value -> Parser MonitoringType #

parseJSONList :: Value -> Parser [MonitoringType] #

FromJSONKey MonitoringType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringType

Methods

fromJSONKey :: FromJSONKeyFunction MonitoringType #

fromJSONKeyList :: FromJSONKeyFunction [MonitoringType] #

ToJSON MonitoringType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringType

Methods

toJSON :: MonitoringType -> Value #

toEncoding :: MonitoringType -> Encoding #

toJSONList :: [MonitoringType] -> Value #

toEncodingList :: [MonitoringType] -> Encoding #

ToJSONKey MonitoringType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringType

Methods

toJSONKey :: ToJSONKeyFunction MonitoringType #

toJSONKeyList :: ToJSONKeyFunction [MonitoringType] #

ToByteString MonitoringType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringType

Methods

toBS :: MonitoringType -> ByteString #

ToHeader MonitoringType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringType

Methods

toHeader :: HeaderName -> MonitoringType -> [Header] #

ToLog MonitoringType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringType

Methods

build :: MonitoringType -> ByteStringBuilder #

ToQuery MonitoringType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringType

Methods

toQuery :: MonitoringType -> QueryString #

FromText MonitoringType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringType

Methods

fromText :: Text -> Either String MonitoringType #

ToText MonitoringType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringType

Methods

toText :: MonitoringType -> Text #

FromXML MonitoringType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringType

Methods

parseXML :: [Node] -> Either String MonitoringType #

ToXML MonitoringType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringType

Methods

toXML :: MonitoringType -> XML #

Generic MonitoringType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringType

Associated Types

type Rep MonitoringType :: Type -> Type #

Methods

from :: MonitoringType -> Rep MonitoringType x #

to :: Rep MonitoringType x -> MonitoringType #

Read MonitoringType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringType

Methods

readsPrec :: Int -> ReadS MonitoringType #

readList :: ReadS [MonitoringType] #

readPrec :: ReadPrec MonitoringType #

readListPrec :: ReadPrec [MonitoringType] #

Show MonitoringType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringType

Methods

showsPrec :: Int -> MonitoringType -> ShowS #

show :: MonitoringType -> String #

showList :: [MonitoringType] -> ShowS #

NFData MonitoringType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringType

Methods

rnf :: MonitoringType -> () #

Eq MonitoringType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringType

Methods

(==) :: MonitoringType -> MonitoringType -> Bool #

(/=) :: MonitoringType -> MonitoringType -> Bool #

Ord MonitoringType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringType

Methods

compare :: MonitoringType -> MonitoringType -> Ordering #

(<) :: MonitoringType -> MonitoringType -> Bool #

(<=) :: MonitoringType -> MonitoringType -> Bool #

(>) :: MonitoringType -> MonitoringType -> Bool #

(>=) :: MonitoringType -> MonitoringType -> Bool #

max :: MonitoringType -> MonitoringType -> MonitoringType #

min :: MonitoringType -> MonitoringType -> MonitoringType #

Hashable MonitoringType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringType

Methods

hashWithSalt :: Int -> MonitoringType -> Int #

hash :: MonitoringType -> Int #

type Rep MonitoringType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringType

type Rep MonitoringType = D1 ('MetaData "MonitoringType" "Amazonka.SageMaker.Types.MonitoringType" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'True) (C1 ('MetaCons "MonitoringType'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromMonitoringType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

NotebookInstanceAcceleratorType

newtype NotebookInstanceAcceleratorType Source #

Constructors

NotebookInstanceAcceleratorType' 

Fields

Bundled Patterns

pattern NotebookInstanceAcceleratorType_Ml_eia1_large :: NotebookInstanceAcceleratorType 
pattern NotebookInstanceAcceleratorType_Ml_eia1_medium :: NotebookInstanceAcceleratorType 
pattern NotebookInstanceAcceleratorType_Ml_eia1_xlarge :: NotebookInstanceAcceleratorType 
pattern NotebookInstanceAcceleratorType_Ml_eia2_large :: NotebookInstanceAcceleratorType 
pattern NotebookInstanceAcceleratorType_Ml_eia2_medium :: NotebookInstanceAcceleratorType 
pattern NotebookInstanceAcceleratorType_Ml_eia2_xlarge :: NotebookInstanceAcceleratorType 

Instances

Instances details
FromJSON NotebookInstanceAcceleratorType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.NotebookInstanceAcceleratorType

Methods

parseJSON :: Value -> Parser NotebookInstanceAcceleratorType #

parseJSONList :: Value -> Parser [NotebookInstanceAcceleratorType] #

FromJSONKey NotebookInstanceAcceleratorType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.NotebookInstanceAcceleratorType

Methods

fromJSONKey :: FromJSONKeyFunction NotebookInstanceAcceleratorType #

fromJSONKeyList :: FromJSONKeyFunction [NotebookInstanceAcceleratorType] #

ToJSON NotebookInstanceAcceleratorType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.NotebookInstanceAcceleratorType

Methods

toJSON :: NotebookInstanceAcceleratorType -> Value #

toEncoding :: NotebookInstanceAcceleratorType -> Encoding #

toJSONList :: [NotebookInstanceAcceleratorType] -> Value #

toEncodingList :: [NotebookInstanceAcceleratorType] -> Encoding #

ToJSONKey NotebookInstanceAcceleratorType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.NotebookInstanceAcceleratorType

Methods

toJSONKey :: ToJSONKeyFunction NotebookInstanceAcceleratorType #

toJSONKeyList :: ToJSONKeyFunction [NotebookInstanceAcceleratorType] #

ToByteString NotebookInstanceAcceleratorType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.NotebookInstanceAcceleratorType

Methods

toBS :: NotebookInstanceAcceleratorType -> ByteString #

ToHeader NotebookInstanceAcceleratorType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.NotebookInstanceAcceleratorType

Methods

toHeader :: HeaderName -> NotebookInstanceAcceleratorType -> [Header] #

ToLog NotebookInstanceAcceleratorType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.NotebookInstanceAcceleratorType

Methods

build :: NotebookInstanceAcceleratorType -> ByteStringBuilder #

ToQuery NotebookInstanceAcceleratorType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.NotebookInstanceAcceleratorType

Methods

toQuery :: NotebookInstanceAcceleratorType -> QueryString #

FromText NotebookInstanceAcceleratorType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.NotebookInstanceAcceleratorType

Methods

fromText :: Text -> Either String NotebookInstanceAcceleratorType #

ToText NotebookInstanceAcceleratorType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.NotebookInstanceAcceleratorType

Methods

toText :: NotebookInstanceAcceleratorType -> Text #

FromXML NotebookInstanceAcceleratorType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.NotebookInstanceAcceleratorType

Methods

parseXML :: [Node] -> Either String NotebookInstanceAcceleratorType #

ToXML NotebookInstanceAcceleratorType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.NotebookInstanceAcceleratorType

Methods

toXML :: NotebookInstanceAcceleratorType -> XML #

Generic NotebookInstanceAcceleratorType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.NotebookInstanceAcceleratorType

Associated Types

type Rep NotebookInstanceAcceleratorType :: Type -> Type #

Methods

from :: NotebookInstanceAcceleratorType -> Rep NotebookInstanceAcceleratorType x #

to :: Rep NotebookInstanceAcceleratorType x -> NotebookInstanceAcceleratorType #

Read NotebookInstanceAcceleratorType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.NotebookInstanceAcceleratorType

Methods

readsPrec :: Int -> ReadS NotebookInstanceAcceleratorType #

readList :: ReadS [NotebookInstanceAcceleratorType] #

readPrec :: ReadPrec NotebookInstanceAcceleratorType #

readListPrec :: ReadPrec [NotebookInstanceAcceleratorType] #

Show NotebookInstanceAcceleratorType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.NotebookInstanceAcceleratorType

Methods

showsPrec :: Int -> NotebookInstanceAcceleratorType -> ShowS #

show :: NotebookInstanceAcceleratorType -> String #

showList :: [NotebookInstanceAcceleratorType] -> ShowS #

NFData NotebookInstanceAcceleratorType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.NotebookInstanceAcceleratorType

Methods

rnf :: NotebookInstanceAcceleratorType -> () #

Eq NotebookInstanceAcceleratorType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.NotebookInstanceAcceleratorType

Methods

(==) :: NotebookInstanceAcceleratorType -> NotebookInstanceAcceleratorType -> Bool #

(/=) :: NotebookInstanceAcceleratorType -> NotebookInstanceAcceleratorType -> Bool #

Ord NotebookInstanceAcceleratorType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.NotebookInstanceAcceleratorType

Methods

compare :: NotebookInstanceAcceleratorType -> NotebookInstanceAcceleratorType -> Ordering #

(<) :: NotebookInstanceAcceleratorType -> NotebookInstanceAcceleratorType -> Bool #

(<=) :: NotebookInstanceAcceleratorType -> NotebookInstanceAcceleratorType -> Bool #

(>) :: NotebookInstanceAcceleratorType -> NotebookInstanceAcceleratorType -> Bool #

(>=) :: NotebookInstanceAcceleratorType -> NotebookInstanceAcceleratorType -> Bool #

max :: NotebookInstanceAcceleratorType -> NotebookInstanceAcceleratorType -> NotebookInstanceAcceleratorType #

min :: NotebookInstanceAcceleratorType -> NotebookInstanceAcceleratorType -> NotebookInstanceAcceleratorType #

Hashable NotebookInstanceAcceleratorType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.NotebookInstanceAcceleratorType

Methods

hashWithSalt :: Int -> NotebookInstanceAcceleratorType -> Int #

hash :: NotebookInstanceAcceleratorType -> Int #

type Rep NotebookInstanceAcceleratorType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.NotebookInstanceAcceleratorType

type Rep NotebookInstanceAcceleratorType = D1 ('MetaData "NotebookInstanceAcceleratorType" "Amazonka.SageMaker.Types.NotebookInstanceAcceleratorType" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'True) (C1 ('MetaCons "NotebookInstanceAcceleratorType'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromNotebookInstanceAcceleratorType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

NotebookInstanceLifecycleConfigSortKey

newtype NotebookInstanceLifecycleConfigSortKey Source #

Constructors

NotebookInstanceLifecycleConfigSortKey' 

Fields

Bundled Patterns

pattern NotebookInstanceLifecycleConfigSortKey_CreationTime :: NotebookInstanceLifecycleConfigSortKey 
pattern NotebookInstanceLifecycleConfigSortKey_LastModifiedTime :: NotebookInstanceLifecycleConfigSortKey 
pattern NotebookInstanceLifecycleConfigSortKey_Name :: NotebookInstanceLifecycleConfigSortKey 

Instances

Instances details
FromJSON NotebookInstanceLifecycleConfigSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.NotebookInstanceLifecycleConfigSortKey

Methods

parseJSON :: Value -> Parser NotebookInstanceLifecycleConfigSortKey #

parseJSONList :: Value -> Parser [NotebookInstanceLifecycleConfigSortKey] #

FromJSONKey NotebookInstanceLifecycleConfigSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.NotebookInstanceLifecycleConfigSortKey

Methods

fromJSONKey :: FromJSONKeyFunction NotebookInstanceLifecycleConfigSortKey #

fromJSONKeyList :: FromJSONKeyFunction [NotebookInstanceLifecycleConfigSortKey] #

ToJSON NotebookInstanceLifecycleConfigSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.NotebookInstanceLifecycleConfigSortKey

Methods

toJSON :: NotebookInstanceLifecycleConfigSortKey -> Value #

toEncoding :: NotebookInstanceLifecycleConfigSortKey -> Encoding #

toJSONList :: [NotebookInstanceLifecycleConfigSortKey] -> Value #

toEncodingList :: [NotebookInstanceLifecycleConfigSortKey] -> Encoding #

ToJSONKey NotebookInstanceLifecycleConfigSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.NotebookInstanceLifecycleConfigSortKey

Methods

toJSONKey :: ToJSONKeyFunction NotebookInstanceLifecycleConfigSortKey #

toJSONKeyList :: ToJSONKeyFunction [NotebookInstanceLifecycleConfigSortKey] #

ToByteString NotebookInstanceLifecycleConfigSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.NotebookInstanceLifecycleConfigSortKey

Methods

toBS :: NotebookInstanceLifecycleConfigSortKey -> ByteString #

ToHeader NotebookInstanceLifecycleConfigSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.NotebookInstanceLifecycleConfigSortKey

Methods

toHeader :: HeaderName -> NotebookInstanceLifecycleConfigSortKey -> [Header] #

ToLog NotebookInstanceLifecycleConfigSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.NotebookInstanceLifecycleConfigSortKey

Methods

build :: NotebookInstanceLifecycleConfigSortKey -> ByteStringBuilder #

ToQuery NotebookInstanceLifecycleConfigSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.NotebookInstanceLifecycleConfigSortKey

Methods

toQuery :: NotebookInstanceLifecycleConfigSortKey -> QueryString #

FromText NotebookInstanceLifecycleConfigSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.NotebookInstanceLifecycleConfigSortKey

Methods

fromText :: Text -> Either String NotebookInstanceLifecycleConfigSortKey #

ToText NotebookInstanceLifecycleConfigSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.NotebookInstanceLifecycleConfigSortKey

Methods

toText :: NotebookInstanceLifecycleConfigSortKey -> Text #

FromXML NotebookInstanceLifecycleConfigSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.NotebookInstanceLifecycleConfigSortKey

Methods

parseXML :: [Node] -> Either String NotebookInstanceLifecycleConfigSortKey #

ToXML NotebookInstanceLifecycleConfigSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.NotebookInstanceLifecycleConfigSortKey

Methods

toXML :: NotebookInstanceLifecycleConfigSortKey -> XML #

Generic NotebookInstanceLifecycleConfigSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.NotebookInstanceLifecycleConfigSortKey

Associated Types

type Rep NotebookInstanceLifecycleConfigSortKey :: Type -> Type #

Methods

from :: NotebookInstanceLifecycleConfigSortKey -> Rep NotebookInstanceLifecycleConfigSortKey x #

to :: Rep NotebookInstanceLifecycleConfigSortKey x -> NotebookInstanceLifecycleConfigSortKey #

Read NotebookInstanceLifecycleConfigSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.NotebookInstanceLifecycleConfigSortKey

Methods

readsPrec :: Int -> ReadS NotebookInstanceLifecycleConfigSortKey #

readList :: ReadS [NotebookInstanceLifecycleConfigSortKey] #

readPrec :: ReadPrec NotebookInstanceLifecycleConfigSortKey #

readListPrec :: ReadPrec [NotebookInstanceLifecycleConfigSortKey] #

Show NotebookInstanceLifecycleConfigSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.NotebookInstanceLifecycleConfigSortKey

Methods

showsPrec :: Int -> NotebookInstanceLifecycleConfigSortKey -> ShowS #

show :: NotebookInstanceLifecycleConfigSortKey -> String #

showList :: [NotebookInstanceLifecycleConfigSortKey] -> ShowS #

NFData NotebookInstanceLifecycleConfigSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.NotebookInstanceLifecycleConfigSortKey

Methods

rnf :: NotebookInstanceLifecycleConfigSortKey -> () #

Eq NotebookInstanceLifecycleConfigSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.NotebookInstanceLifecycleConfigSortKey

Methods

(==) :: NotebookInstanceLifecycleConfigSortKey -> NotebookInstanceLifecycleConfigSortKey -> Bool #

(/=) :: NotebookInstanceLifecycleConfigSortKey -> NotebookInstanceLifecycleConfigSortKey -> Bool #

Ord NotebookInstanceLifecycleConfigSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.NotebookInstanceLifecycleConfigSortKey

Methods

compare :: NotebookInstanceLifecycleConfigSortKey -> NotebookInstanceLifecycleConfigSortKey -> Ordering #

(<) :: NotebookInstanceLifecycleConfigSortKey -> NotebookInstanceLifecycleConfigSortKey -> Bool #

(<=) :: NotebookInstanceLifecycleConfigSortKey -> NotebookInstanceLifecycleConfigSortKey -> Bool #

(>) :: NotebookInstanceLifecycleConfigSortKey -> NotebookInstanceLifecycleConfigSortKey -> Bool #

(>=) :: NotebookInstanceLifecycleConfigSortKey -> NotebookInstanceLifecycleConfigSortKey -> Bool #

max :: NotebookInstanceLifecycleConfigSortKey -> NotebookInstanceLifecycleConfigSortKey -> NotebookInstanceLifecycleConfigSortKey #

min :: NotebookInstanceLifecycleConfigSortKey -> NotebookInstanceLifecycleConfigSortKey -> NotebookInstanceLifecycleConfigSortKey #

Hashable NotebookInstanceLifecycleConfigSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.NotebookInstanceLifecycleConfigSortKey

Methods

hashWithSalt :: Int -> NotebookInstanceLifecycleConfigSortKey -> Int #

hash :: NotebookInstanceLifecycleConfigSortKey -> Int #

type Rep NotebookInstanceLifecycleConfigSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.NotebookInstanceLifecycleConfigSortKey

type Rep NotebookInstanceLifecycleConfigSortKey = D1 ('MetaData "NotebookInstanceLifecycleConfigSortKey" "Amazonka.SageMaker.Types.NotebookInstanceLifecycleConfigSortKey" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'True) (C1 ('MetaCons "NotebookInstanceLifecycleConfigSortKey'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromNotebookInstanceLifecycleConfigSortKey") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

NotebookInstanceLifecycleConfigSortOrder

newtype NotebookInstanceLifecycleConfigSortOrder Source #

Constructors

NotebookInstanceLifecycleConfigSortOrder' 

Fields

Bundled Patterns

pattern NotebookInstanceLifecycleConfigSortOrder_Ascending :: NotebookInstanceLifecycleConfigSortOrder 
pattern NotebookInstanceLifecycleConfigSortOrder_Descending :: NotebookInstanceLifecycleConfigSortOrder 

Instances

Instances details
FromJSON NotebookInstanceLifecycleConfigSortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.NotebookInstanceLifecycleConfigSortOrder

Methods

parseJSON :: Value -> Parser NotebookInstanceLifecycleConfigSortOrder #

parseJSONList :: Value -> Parser [NotebookInstanceLifecycleConfigSortOrder] #

FromJSONKey NotebookInstanceLifecycleConfigSortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.NotebookInstanceLifecycleConfigSortOrder

Methods

fromJSONKey :: FromJSONKeyFunction NotebookInstanceLifecycleConfigSortOrder #

fromJSONKeyList :: FromJSONKeyFunction [NotebookInstanceLifecycleConfigSortOrder] #

ToJSON NotebookInstanceLifecycleConfigSortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.NotebookInstanceLifecycleConfigSortOrder

Methods

toJSON :: NotebookInstanceLifecycleConfigSortOrder -> Value #

toEncoding :: NotebookInstanceLifecycleConfigSortOrder -> Encoding #

toJSONList :: [NotebookInstanceLifecycleConfigSortOrder] -> Value #

toEncodingList :: [NotebookInstanceLifecycleConfigSortOrder] -> Encoding #

ToJSONKey NotebookInstanceLifecycleConfigSortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.NotebookInstanceLifecycleConfigSortOrder

Methods

toJSONKey :: ToJSONKeyFunction NotebookInstanceLifecycleConfigSortOrder #

toJSONKeyList :: ToJSONKeyFunction [NotebookInstanceLifecycleConfigSortOrder] #

ToByteString NotebookInstanceLifecycleConfigSortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.NotebookInstanceLifecycleConfigSortOrder

Methods

toBS :: NotebookInstanceLifecycleConfigSortOrder -> ByteString #

ToHeader NotebookInstanceLifecycleConfigSortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.NotebookInstanceLifecycleConfigSortOrder

Methods

toHeader :: HeaderName -> NotebookInstanceLifecycleConfigSortOrder -> [Header] #

ToLog NotebookInstanceLifecycleConfigSortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.NotebookInstanceLifecycleConfigSortOrder

Methods

build :: NotebookInstanceLifecycleConfigSortOrder -> ByteStringBuilder #

ToQuery NotebookInstanceLifecycleConfigSortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.NotebookInstanceLifecycleConfigSortOrder

Methods

toQuery :: NotebookInstanceLifecycleConfigSortOrder -> QueryString #

FromText NotebookInstanceLifecycleConfigSortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.NotebookInstanceLifecycleConfigSortOrder

Methods

fromText :: Text -> Either String NotebookInstanceLifecycleConfigSortOrder #

ToText NotebookInstanceLifecycleConfigSortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.NotebookInstanceLifecycleConfigSortOrder

Methods

toText :: NotebookInstanceLifecycleConfigSortOrder -> Text #

FromXML NotebookInstanceLifecycleConfigSortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.NotebookInstanceLifecycleConfigSortOrder

Methods

parseXML :: [Node] -> Either String NotebookInstanceLifecycleConfigSortOrder #

ToXML NotebookInstanceLifecycleConfigSortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.NotebookInstanceLifecycleConfigSortOrder

Methods

toXML :: NotebookInstanceLifecycleConfigSortOrder -> XML #

Generic NotebookInstanceLifecycleConfigSortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.NotebookInstanceLifecycleConfigSortOrder

Associated Types

type Rep NotebookInstanceLifecycleConfigSortOrder :: Type -> Type #

Methods

from :: NotebookInstanceLifecycleConfigSortOrder -> Rep NotebookInstanceLifecycleConfigSortOrder x #

to :: Rep NotebookInstanceLifecycleConfigSortOrder x -> NotebookInstanceLifecycleConfigSortOrder #

Read NotebookInstanceLifecycleConfigSortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.NotebookInstanceLifecycleConfigSortOrder

Methods

readsPrec :: Int -> ReadS NotebookInstanceLifecycleConfigSortOrder #

readList :: ReadS [NotebookInstanceLifecycleConfigSortOrder] #

readPrec :: ReadPrec NotebookInstanceLifecycleConfigSortOrder #

readListPrec :: ReadPrec [NotebookInstanceLifecycleConfigSortOrder] #

Show NotebookInstanceLifecycleConfigSortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.NotebookInstanceLifecycleConfigSortOrder

Methods

showsPrec :: Int -> NotebookInstanceLifecycleConfigSortOrder -> ShowS #

show :: NotebookInstanceLifecycleConfigSortOrder -> String #

showList :: [NotebookInstanceLifecycleConfigSortOrder] -> ShowS #

NFData NotebookInstanceLifecycleConfigSortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.NotebookInstanceLifecycleConfigSortOrder

Methods

rnf :: NotebookInstanceLifecycleConfigSortOrder -> () #

Eq NotebookInstanceLifecycleConfigSortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.NotebookInstanceLifecycleConfigSortOrder

Methods

(==) :: NotebookInstanceLifecycleConfigSortOrder -> NotebookInstanceLifecycleConfigSortOrder -> Bool #

(/=) :: NotebookInstanceLifecycleConfigSortOrder -> NotebookInstanceLifecycleConfigSortOrder -> Bool #

Ord NotebookInstanceLifecycleConfigSortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.NotebookInstanceLifecycleConfigSortOrder

Methods

compare :: NotebookInstanceLifecycleConfigSortOrder -> NotebookInstanceLifecycleConfigSortOrder -> Ordering #

(<) :: NotebookInstanceLifecycleConfigSortOrder -> NotebookInstanceLifecycleConfigSortOrder -> Bool #

(<=) :: NotebookInstanceLifecycleConfigSortOrder -> NotebookInstanceLifecycleConfigSortOrder -> Bool #

(>) :: NotebookInstanceLifecycleConfigSortOrder -> NotebookInstanceLifecycleConfigSortOrder -> Bool #

(>=) :: NotebookInstanceLifecycleConfigSortOrder -> NotebookInstanceLifecycleConfigSortOrder -> Bool #

max :: NotebookInstanceLifecycleConfigSortOrder -> NotebookInstanceLifecycleConfigSortOrder -> NotebookInstanceLifecycleConfigSortOrder #

min :: NotebookInstanceLifecycleConfigSortOrder -> NotebookInstanceLifecycleConfigSortOrder -> NotebookInstanceLifecycleConfigSortOrder #

Hashable NotebookInstanceLifecycleConfigSortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.NotebookInstanceLifecycleConfigSortOrder

Methods

hashWithSalt :: Int -> NotebookInstanceLifecycleConfigSortOrder -> Int #

hash :: NotebookInstanceLifecycleConfigSortOrder -> Int #

type Rep NotebookInstanceLifecycleConfigSortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.NotebookInstanceLifecycleConfigSortOrder

type Rep NotebookInstanceLifecycleConfigSortOrder = D1 ('MetaData "NotebookInstanceLifecycleConfigSortOrder" "Amazonka.SageMaker.Types.NotebookInstanceLifecycleConfigSortOrder" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'True) (C1 ('MetaCons "NotebookInstanceLifecycleConfigSortOrder'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromNotebookInstanceLifecycleConfigSortOrder") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

NotebookInstanceSortKey

newtype NotebookInstanceSortKey Source #

Constructors

NotebookInstanceSortKey' 

Fields

Bundled Patterns

pattern NotebookInstanceSortKey_CreationTime :: NotebookInstanceSortKey 
pattern NotebookInstanceSortKey_Name :: NotebookInstanceSortKey 
pattern NotebookInstanceSortKey_Status :: NotebookInstanceSortKey 

Instances

Instances details
FromJSON NotebookInstanceSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.NotebookInstanceSortKey

Methods

parseJSON :: Value -> Parser NotebookInstanceSortKey #

parseJSONList :: Value -> Parser [NotebookInstanceSortKey] #

FromJSONKey NotebookInstanceSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.NotebookInstanceSortKey

Methods

fromJSONKey :: FromJSONKeyFunction NotebookInstanceSortKey #

fromJSONKeyList :: FromJSONKeyFunction [NotebookInstanceSortKey] #

ToJSON NotebookInstanceSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.NotebookInstanceSortKey

Methods

toJSON :: NotebookInstanceSortKey -> Value #

toEncoding :: NotebookInstanceSortKey -> Encoding #

toJSONList :: [NotebookInstanceSortKey] -> Value #

toEncodingList :: [NotebookInstanceSortKey] -> Encoding #

ToJSONKey NotebookInstanceSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.NotebookInstanceSortKey

Methods

toJSONKey :: ToJSONKeyFunction NotebookInstanceSortKey #

toJSONKeyList :: ToJSONKeyFunction [NotebookInstanceSortKey] #

ToByteString NotebookInstanceSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.NotebookInstanceSortKey

Methods

toBS :: NotebookInstanceSortKey -> ByteString #

ToHeader NotebookInstanceSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.NotebookInstanceSortKey

Methods

toHeader :: HeaderName -> NotebookInstanceSortKey -> [Header] #

ToLog NotebookInstanceSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.NotebookInstanceSortKey

Methods

build :: NotebookInstanceSortKey -> ByteStringBuilder #

ToQuery NotebookInstanceSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.NotebookInstanceSortKey

Methods

toQuery :: NotebookInstanceSortKey -> QueryString #

FromText NotebookInstanceSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.NotebookInstanceSortKey

Methods

fromText :: Text -> Either String NotebookInstanceSortKey #

ToText NotebookInstanceSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.NotebookInstanceSortKey

Methods

toText :: NotebookInstanceSortKey -> Text #

FromXML NotebookInstanceSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.NotebookInstanceSortKey

Methods

parseXML :: [Node] -> Either String NotebookInstanceSortKey #

ToXML NotebookInstanceSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.NotebookInstanceSortKey

Methods

toXML :: NotebookInstanceSortKey -> XML #

Generic NotebookInstanceSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.NotebookInstanceSortKey

Associated Types

type Rep NotebookInstanceSortKey :: Type -> Type #

Methods

from :: NotebookInstanceSortKey -> Rep NotebookInstanceSortKey x #

to :: Rep NotebookInstanceSortKey x -> NotebookInstanceSortKey #

Read NotebookInstanceSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.NotebookInstanceSortKey

Methods

readsPrec :: Int -> ReadS NotebookInstanceSortKey #

readList :: ReadS [NotebookInstanceSortKey] #

readPrec :: ReadPrec NotebookInstanceSortKey #

readListPrec :: ReadPrec [NotebookInstanceSortKey] #

Show NotebookInstanceSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.NotebookInstanceSortKey

Methods

showsPrec :: Int -> NotebookInstanceSortKey -> ShowS #

show :: NotebookInstanceSortKey -> String #

showList :: [NotebookInstanceSortKey] -> ShowS #

NFData NotebookInstanceSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.NotebookInstanceSortKey

Methods

rnf :: NotebookInstanceSortKey -> () #

Eq NotebookInstanceSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.NotebookInstanceSortKey

Methods

(==) :: NotebookInstanceSortKey -> NotebookInstanceSortKey -> Bool #

(/=) :: NotebookInstanceSortKey -> NotebookInstanceSortKey -> Bool #

Ord NotebookInstanceSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.NotebookInstanceSortKey

Methods

compare :: NotebookInstanceSortKey -> NotebookInstanceSortKey -> Ordering #

(<) :: NotebookInstanceSortKey -> NotebookInstanceSortKey -> Bool #

(<=) :: NotebookInstanceSortKey -> NotebookInstanceSortKey -> Bool #

(>) :: NotebookInstanceSortKey -> NotebookInstanceSortKey -> Bool #

(>=) :: NotebookInstanceSortKey -> NotebookInstanceSortKey -> Bool #

max :: NotebookInstanceSortKey -> NotebookInstanceSortKey -> NotebookInstanceSortKey #

min :: NotebookInstanceSortKey -> NotebookInstanceSortKey -> NotebookInstanceSortKey #

Hashable NotebookInstanceSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.NotebookInstanceSortKey

Methods

hashWithSalt :: Int -> NotebookInstanceSortKey -> Int #

hash :: NotebookInstanceSortKey -> Int #

type Rep NotebookInstanceSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.NotebookInstanceSortKey

type Rep NotebookInstanceSortKey = D1 ('MetaData "NotebookInstanceSortKey" "Amazonka.SageMaker.Types.NotebookInstanceSortKey" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'True) (C1 ('MetaCons "NotebookInstanceSortKey'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromNotebookInstanceSortKey") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

NotebookInstanceSortOrder

newtype NotebookInstanceSortOrder Source #

Constructors

NotebookInstanceSortOrder' 

Fields

Bundled Patterns

pattern NotebookInstanceSortOrder_Ascending :: NotebookInstanceSortOrder 
pattern NotebookInstanceSortOrder_Descending :: NotebookInstanceSortOrder 

Instances

Instances details
FromJSON NotebookInstanceSortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.NotebookInstanceSortOrder

Methods

parseJSON :: Value -> Parser NotebookInstanceSortOrder #

parseJSONList :: Value -> Parser [NotebookInstanceSortOrder] #

FromJSONKey NotebookInstanceSortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.NotebookInstanceSortOrder

Methods

fromJSONKey :: FromJSONKeyFunction NotebookInstanceSortOrder #

fromJSONKeyList :: FromJSONKeyFunction [NotebookInstanceSortOrder] #

ToJSON NotebookInstanceSortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.NotebookInstanceSortOrder

Methods

toJSON :: NotebookInstanceSortOrder -> Value #

toEncoding :: NotebookInstanceSortOrder -> Encoding #

toJSONList :: [NotebookInstanceSortOrder] -> Value #

toEncodingList :: [NotebookInstanceSortOrder] -> Encoding #

ToJSONKey NotebookInstanceSortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.NotebookInstanceSortOrder

Methods

toJSONKey :: ToJSONKeyFunction NotebookInstanceSortOrder #

toJSONKeyList :: ToJSONKeyFunction [NotebookInstanceSortOrder] #

ToByteString NotebookInstanceSortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.NotebookInstanceSortOrder

Methods

toBS :: NotebookInstanceSortOrder -> ByteString #

ToHeader NotebookInstanceSortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.NotebookInstanceSortOrder

Methods

toHeader :: HeaderName -> NotebookInstanceSortOrder -> [Header] #

ToLog NotebookInstanceSortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.NotebookInstanceSortOrder

Methods

build :: NotebookInstanceSortOrder -> ByteStringBuilder #

ToQuery NotebookInstanceSortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.NotebookInstanceSortOrder

Methods

toQuery :: NotebookInstanceSortOrder -> QueryString #

FromText NotebookInstanceSortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.NotebookInstanceSortOrder

Methods

fromText :: Text -> Either String NotebookInstanceSortOrder #

ToText NotebookInstanceSortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.NotebookInstanceSortOrder

Methods

toText :: NotebookInstanceSortOrder -> Text #

FromXML NotebookInstanceSortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.NotebookInstanceSortOrder

Methods

parseXML :: [Node] -> Either String NotebookInstanceSortOrder #

ToXML NotebookInstanceSortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.NotebookInstanceSortOrder

Methods

toXML :: NotebookInstanceSortOrder -> XML #

Generic NotebookInstanceSortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.NotebookInstanceSortOrder

Associated Types

type Rep NotebookInstanceSortOrder :: Type -> Type #

Methods

from :: NotebookInstanceSortOrder -> Rep NotebookInstanceSortOrder x #

to :: Rep NotebookInstanceSortOrder x -> NotebookInstanceSortOrder #

Read NotebookInstanceSortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.NotebookInstanceSortOrder

Methods

readsPrec :: Int -> ReadS NotebookInstanceSortOrder #

readList :: ReadS [NotebookInstanceSortOrder] #

readPrec :: ReadPrec NotebookInstanceSortOrder #

readListPrec :: ReadPrec [NotebookInstanceSortOrder] #

Show NotebookInstanceSortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.NotebookInstanceSortOrder

Methods

showsPrec :: Int -> NotebookInstanceSortOrder -> ShowS #

show :: NotebookInstanceSortOrder -> String #

showList :: [NotebookInstanceSortOrder] -> ShowS #

NFData NotebookInstanceSortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.NotebookInstanceSortOrder

Methods

rnf :: NotebookInstanceSortOrder -> () #

Eq NotebookInstanceSortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.NotebookInstanceSortOrder

Methods

(==) :: NotebookInstanceSortOrder -> NotebookInstanceSortOrder -> Bool #

(/=) :: NotebookInstanceSortOrder -> NotebookInstanceSortOrder -> Bool #

Ord NotebookInstanceSortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.NotebookInstanceSortOrder

Methods

compare :: NotebookInstanceSortOrder -> NotebookInstanceSortOrder -> Ordering #

(<) :: NotebookInstanceSortOrder -> NotebookInstanceSortOrder -> Bool #

(<=) :: NotebookInstanceSortOrder -> NotebookInstanceSortOrder -> Bool #

(>) :: NotebookInstanceSortOrder -> NotebookInstanceSortOrder -> Bool #

(>=) :: NotebookInstanceSortOrder -> NotebookInstanceSortOrder -> Bool #

max :: NotebookInstanceSortOrder -> NotebookInstanceSortOrder -> NotebookInstanceSortOrder #

min :: NotebookInstanceSortOrder -> NotebookInstanceSortOrder -> NotebookInstanceSortOrder #

Hashable NotebookInstanceSortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.NotebookInstanceSortOrder

Methods

hashWithSalt :: Int -> NotebookInstanceSortOrder -> Int #

hash :: NotebookInstanceSortOrder -> Int #

type Rep NotebookInstanceSortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.NotebookInstanceSortOrder

type Rep NotebookInstanceSortOrder = D1 ('MetaData "NotebookInstanceSortOrder" "Amazonka.SageMaker.Types.NotebookInstanceSortOrder" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'True) (C1 ('MetaCons "NotebookInstanceSortOrder'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromNotebookInstanceSortOrder") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

NotebookInstanceStatus

newtype NotebookInstanceStatus Source #

Constructors

NotebookInstanceStatus' 

Fields

Bundled Patterns

pattern NotebookInstanceStatus_Deleting :: NotebookInstanceStatus 
pattern NotebookInstanceStatus_Failed :: NotebookInstanceStatus 
pattern NotebookInstanceStatus_InService :: NotebookInstanceStatus 
pattern NotebookInstanceStatus_Pending :: NotebookInstanceStatus 
pattern NotebookInstanceStatus_Stopped :: NotebookInstanceStatus 
pattern NotebookInstanceStatus_Stopping :: NotebookInstanceStatus 
pattern NotebookInstanceStatus_Updating :: NotebookInstanceStatus 

Instances

Instances details
FromJSON NotebookInstanceStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.NotebookInstanceStatus

Methods

parseJSON :: Value -> Parser NotebookInstanceStatus #

parseJSONList :: Value -> Parser [NotebookInstanceStatus] #

FromJSONKey NotebookInstanceStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.NotebookInstanceStatus

Methods

fromJSONKey :: FromJSONKeyFunction NotebookInstanceStatus #

fromJSONKeyList :: FromJSONKeyFunction [NotebookInstanceStatus] #

ToJSON NotebookInstanceStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.NotebookInstanceStatus

Methods

toJSON :: NotebookInstanceStatus -> Value #

toEncoding :: NotebookInstanceStatus -> Encoding #

toJSONList :: [NotebookInstanceStatus] -> Value #

toEncodingList :: [NotebookInstanceStatus] -> Encoding #

ToJSONKey NotebookInstanceStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.NotebookInstanceStatus

Methods

toJSONKey :: ToJSONKeyFunction NotebookInstanceStatus #

toJSONKeyList :: ToJSONKeyFunction [NotebookInstanceStatus] #

ToByteString NotebookInstanceStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.NotebookInstanceStatus

Methods

toBS :: NotebookInstanceStatus -> ByteString #

ToHeader NotebookInstanceStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.NotebookInstanceStatus

Methods

toHeader :: HeaderName -> NotebookInstanceStatus -> [Header] #

ToLog NotebookInstanceStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.NotebookInstanceStatus

Methods

build :: NotebookInstanceStatus -> ByteStringBuilder #

ToQuery NotebookInstanceStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.NotebookInstanceStatus

Methods

toQuery :: NotebookInstanceStatus -> QueryString #

FromText NotebookInstanceStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.NotebookInstanceStatus

Methods

fromText :: Text -> Either String NotebookInstanceStatus #

ToText NotebookInstanceStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.NotebookInstanceStatus

Methods

toText :: NotebookInstanceStatus -> Text #

FromXML NotebookInstanceStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.NotebookInstanceStatus

Methods

parseXML :: [Node] -> Either String NotebookInstanceStatus #

ToXML NotebookInstanceStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.NotebookInstanceStatus

Methods

toXML :: NotebookInstanceStatus -> XML #

Generic NotebookInstanceStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.NotebookInstanceStatus

Associated Types

type Rep NotebookInstanceStatus :: Type -> Type #

Methods

from :: NotebookInstanceStatus -> Rep NotebookInstanceStatus x #

to :: Rep NotebookInstanceStatus x -> NotebookInstanceStatus #

Read NotebookInstanceStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.NotebookInstanceStatus

Methods

readsPrec :: Int -> ReadS NotebookInstanceStatus #

readList :: ReadS [NotebookInstanceStatus] #

readPrec :: ReadPrec NotebookInstanceStatus #

readListPrec :: ReadPrec [NotebookInstanceStatus] #

Show NotebookInstanceStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.NotebookInstanceStatus

Methods

showsPrec :: Int -> NotebookInstanceStatus -> ShowS #

show :: NotebookInstanceStatus -> String #

showList :: [NotebookInstanceStatus] -> ShowS #

NFData NotebookInstanceStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.NotebookInstanceStatus

Methods

rnf :: NotebookInstanceStatus -> () #

Eq NotebookInstanceStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.NotebookInstanceStatus

Methods

(==) :: NotebookInstanceStatus -> NotebookInstanceStatus -> Bool #

(/=) :: NotebookInstanceStatus -> NotebookInstanceStatus -> Bool #

Ord NotebookInstanceStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.NotebookInstanceStatus

Methods

compare :: NotebookInstanceStatus -> NotebookInstanceStatus -> Ordering #

(<) :: NotebookInstanceStatus -> NotebookInstanceStatus -> Bool #

(<=) :: NotebookInstanceStatus -> NotebookInstanceStatus -> Bool #

(>) :: NotebookInstanceStatus -> NotebookInstanceStatus -> Bool #

(>=) :: NotebookInstanceStatus -> NotebookInstanceStatus -> Bool #

max :: NotebookInstanceStatus -> NotebookInstanceStatus -> NotebookInstanceStatus #

min :: NotebookInstanceStatus -> NotebookInstanceStatus -> NotebookInstanceStatus #

Hashable NotebookInstanceStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.NotebookInstanceStatus

Methods

hashWithSalt :: Int -> NotebookInstanceStatus -> Int #

hash :: NotebookInstanceStatus -> Int #

type Rep NotebookInstanceStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.NotebookInstanceStatus

type Rep NotebookInstanceStatus = D1 ('MetaData "NotebookInstanceStatus" "Amazonka.SageMaker.Types.NotebookInstanceStatus" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'True) (C1 ('MetaCons "NotebookInstanceStatus'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromNotebookInstanceStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

NotebookOutputOption

newtype NotebookOutputOption Source #

Constructors

NotebookOutputOption' 

Fields

Bundled Patterns

pattern NotebookOutputOption_Allowed :: NotebookOutputOption 
pattern NotebookOutputOption_Disabled :: NotebookOutputOption 

Instances

Instances details
FromJSON NotebookOutputOption Source # 
Instance details

Defined in Amazonka.SageMaker.Types.NotebookOutputOption

Methods

parseJSON :: Value -> Parser NotebookOutputOption #

parseJSONList :: Value -> Parser [NotebookOutputOption] #

FromJSONKey NotebookOutputOption Source # 
Instance details

Defined in Amazonka.SageMaker.Types.NotebookOutputOption

Methods

fromJSONKey :: FromJSONKeyFunction NotebookOutputOption #

fromJSONKeyList :: FromJSONKeyFunction [NotebookOutputOption] #

ToJSON NotebookOutputOption Source # 
Instance details

Defined in Amazonka.SageMaker.Types.NotebookOutputOption

Methods

toJSON :: NotebookOutputOption -> Value #

toEncoding :: NotebookOutputOption -> Encoding #

toJSONList :: [NotebookOutputOption] -> Value #

toEncodingList :: [NotebookOutputOption] -> Encoding #

ToJSONKey NotebookOutputOption Source # 
Instance details

Defined in Amazonka.SageMaker.Types.NotebookOutputOption

Methods

toJSONKey :: ToJSONKeyFunction NotebookOutputOption #

toJSONKeyList :: ToJSONKeyFunction [NotebookOutputOption] #

ToByteString NotebookOutputOption Source # 
Instance details

Defined in Amazonka.SageMaker.Types.NotebookOutputOption

Methods

toBS :: NotebookOutputOption -> ByteString #

ToHeader NotebookOutputOption Source # 
Instance details

Defined in Amazonka.SageMaker.Types.NotebookOutputOption

Methods

toHeader :: HeaderName -> NotebookOutputOption -> [Header] #

ToLog NotebookOutputOption Source # 
Instance details

Defined in Amazonka.SageMaker.Types.NotebookOutputOption

Methods

build :: NotebookOutputOption -> ByteStringBuilder #

ToQuery NotebookOutputOption Source # 
Instance details

Defined in Amazonka.SageMaker.Types.NotebookOutputOption

Methods

toQuery :: NotebookOutputOption -> QueryString #

FromText NotebookOutputOption Source # 
Instance details

Defined in Amazonka.SageMaker.Types.NotebookOutputOption

Methods

fromText :: Text -> Either String NotebookOutputOption #

ToText NotebookOutputOption Source # 
Instance details

Defined in Amazonka.SageMaker.Types.NotebookOutputOption

Methods

toText :: NotebookOutputOption -> Text #

FromXML NotebookOutputOption Source # 
Instance details

Defined in Amazonka.SageMaker.Types.NotebookOutputOption

Methods

parseXML :: [Node] -> Either String NotebookOutputOption #

ToXML NotebookOutputOption Source # 
Instance details

Defined in Amazonka.SageMaker.Types.NotebookOutputOption

Methods

toXML :: NotebookOutputOption -> XML #

Generic NotebookOutputOption Source # 
Instance details

Defined in Amazonka.SageMaker.Types.NotebookOutputOption

Associated Types

type Rep NotebookOutputOption :: Type -> Type #

Methods

from :: NotebookOutputOption -> Rep NotebookOutputOption x #

to :: Rep NotebookOutputOption x -> NotebookOutputOption #

Read NotebookOutputOption Source # 
Instance details

Defined in Amazonka.SageMaker.Types.NotebookOutputOption

Methods

readsPrec :: Int -> ReadS NotebookOutputOption #

readList :: ReadS [NotebookOutputOption] #

readPrec :: ReadPrec NotebookOutputOption #

readListPrec :: ReadPrec [NotebookOutputOption] #

Show NotebookOutputOption Source # 
Instance details

Defined in Amazonka.SageMaker.Types.NotebookOutputOption

Methods

showsPrec :: Int -> NotebookOutputOption -> ShowS #

show :: NotebookOutputOption -> String #

showList :: [NotebookOutputOption] -> ShowS #

NFData NotebookOutputOption Source # 
Instance details

Defined in Amazonka.SageMaker.Types.NotebookOutputOption

Methods

rnf :: NotebookOutputOption -> () #

Eq NotebookOutputOption Source # 
Instance details

Defined in Amazonka.SageMaker.Types.NotebookOutputOption

Methods

(==) :: NotebookOutputOption -> NotebookOutputOption -> Bool #

(/=) :: NotebookOutputOption -> NotebookOutputOption -> Bool #

Ord NotebookOutputOption Source # 
Instance details

Defined in Amazonka.SageMaker.Types.NotebookOutputOption

Methods

compare :: NotebookOutputOption -> NotebookOutputOption -> Ordering #

(<) :: NotebookOutputOption -> NotebookOutputOption -> Bool #

(<=) :: NotebookOutputOption -> NotebookOutputOption -> Bool #

(>) :: NotebookOutputOption -> NotebookOutputOption -> Bool #

(>=) :: NotebookOutputOption -> NotebookOutputOption -> Bool #

max :: NotebookOutputOption -> NotebookOutputOption -> NotebookOutputOption #

min :: NotebookOutputOption -> NotebookOutputOption -> NotebookOutputOption #

Hashable NotebookOutputOption Source # 
Instance details

Defined in Amazonka.SageMaker.Types.NotebookOutputOption

Methods

hashWithSalt :: Int -> NotebookOutputOption -> Int #

hash :: NotebookOutputOption -> Int #

type Rep NotebookOutputOption Source # 
Instance details

Defined in Amazonka.SageMaker.Types.NotebookOutputOption

type Rep NotebookOutputOption = D1 ('MetaData "NotebookOutputOption" "Amazonka.SageMaker.Types.NotebookOutputOption" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'True) (C1 ('MetaCons "NotebookOutputOption'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromNotebookOutputOption") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

ObjectiveStatus

newtype ObjectiveStatus Source #

Constructors

ObjectiveStatus' 

Fields

Bundled Patterns

pattern ObjectiveStatus_Failed :: ObjectiveStatus 
pattern ObjectiveStatus_Pending :: ObjectiveStatus 
pattern ObjectiveStatus_Succeeded :: ObjectiveStatus 

Instances

Instances details
FromJSON ObjectiveStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ObjectiveStatus

Methods

parseJSON :: Value -> Parser ObjectiveStatus #

parseJSONList :: Value -> Parser [ObjectiveStatus] #

FromJSONKey ObjectiveStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ObjectiveStatus

Methods

fromJSONKey :: FromJSONKeyFunction ObjectiveStatus #

fromJSONKeyList :: FromJSONKeyFunction [ObjectiveStatus] #

ToJSON ObjectiveStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ObjectiveStatus

Methods

toJSON :: ObjectiveStatus -> Value #

toEncoding :: ObjectiveStatus -> Encoding #

toJSONList :: [ObjectiveStatus] -> Value #

toEncodingList :: [ObjectiveStatus] -> Encoding #

ToJSONKey ObjectiveStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ObjectiveStatus

Methods

toJSONKey :: ToJSONKeyFunction ObjectiveStatus #

toJSONKeyList :: ToJSONKeyFunction [ObjectiveStatus] #

ToByteString ObjectiveStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ObjectiveStatus

Methods

toBS :: ObjectiveStatus -> ByteString #

ToHeader ObjectiveStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ObjectiveStatus

Methods

toHeader :: HeaderName -> ObjectiveStatus -> [Header] #

ToLog ObjectiveStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ObjectiveStatus

Methods

build :: ObjectiveStatus -> ByteStringBuilder #

ToQuery ObjectiveStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ObjectiveStatus

Methods

toQuery :: ObjectiveStatus -> QueryString #

FromText ObjectiveStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ObjectiveStatus

Methods

fromText :: Text -> Either String ObjectiveStatus #

ToText ObjectiveStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ObjectiveStatus

Methods

toText :: ObjectiveStatus -> Text #

FromXML ObjectiveStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ObjectiveStatus

Methods

parseXML :: [Node] -> Either String ObjectiveStatus #

ToXML ObjectiveStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ObjectiveStatus

Methods

toXML :: ObjectiveStatus -> XML #

Generic ObjectiveStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ObjectiveStatus

Associated Types

type Rep ObjectiveStatus :: Type -> Type #

Methods

from :: ObjectiveStatus -> Rep ObjectiveStatus x #

to :: Rep ObjectiveStatus x -> ObjectiveStatus #

Read ObjectiveStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ObjectiveStatus

Methods

readsPrec :: Int -> ReadS ObjectiveStatus #

readList :: ReadS [ObjectiveStatus] #

readPrec :: ReadPrec ObjectiveStatus #

readListPrec :: ReadPrec [ObjectiveStatus] #

Show ObjectiveStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ObjectiveStatus

Methods

showsPrec :: Int -> ObjectiveStatus -> ShowS #

show :: ObjectiveStatus -> String #

showList :: [ObjectiveStatus] -> ShowS #

NFData ObjectiveStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ObjectiveStatus

Methods

rnf :: ObjectiveStatus -> () #

Eq ObjectiveStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ObjectiveStatus

Methods

(==) :: ObjectiveStatus -> ObjectiveStatus -> Bool #

(/=) :: ObjectiveStatus -> ObjectiveStatus -> Bool #

Ord ObjectiveStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ObjectiveStatus

Methods

compare :: ObjectiveStatus -> ObjectiveStatus -> Ordering #

(<) :: ObjectiveStatus -> ObjectiveStatus -> Bool #

(<=) :: ObjectiveStatus -> ObjectiveStatus -> Bool #

(>) :: ObjectiveStatus -> ObjectiveStatus -> Bool #

(>=) :: ObjectiveStatus -> ObjectiveStatus -> Bool #

max :: ObjectiveStatus -> ObjectiveStatus -> ObjectiveStatus #

min :: ObjectiveStatus -> ObjectiveStatus -> ObjectiveStatus #

Hashable ObjectiveStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ObjectiveStatus

Methods

hashWithSalt :: Int -> ObjectiveStatus -> Int #

hash :: ObjectiveStatus -> Int #

type Rep ObjectiveStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ObjectiveStatus

type Rep ObjectiveStatus = D1 ('MetaData "ObjectiveStatus" "Amazonka.SageMaker.Types.ObjectiveStatus" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'True) (C1 ('MetaCons "ObjectiveStatus'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromObjectiveStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

OfflineStoreStatusValue

newtype OfflineStoreStatusValue Source #

Constructors

OfflineStoreStatusValue' 

Fields

Bundled Patterns

pattern OfflineStoreStatusValue_Active :: OfflineStoreStatusValue 
pattern OfflineStoreStatusValue_Blocked :: OfflineStoreStatusValue 
pattern OfflineStoreStatusValue_Disabled :: OfflineStoreStatusValue 

Instances

Instances details
FromJSON OfflineStoreStatusValue Source # 
Instance details

Defined in Amazonka.SageMaker.Types.OfflineStoreStatusValue

Methods

parseJSON :: Value -> Parser OfflineStoreStatusValue #

parseJSONList :: Value -> Parser [OfflineStoreStatusValue] #

FromJSONKey OfflineStoreStatusValue Source # 
Instance details

Defined in Amazonka.SageMaker.Types.OfflineStoreStatusValue

Methods

fromJSONKey :: FromJSONKeyFunction OfflineStoreStatusValue #

fromJSONKeyList :: FromJSONKeyFunction [OfflineStoreStatusValue] #

ToJSON OfflineStoreStatusValue Source # 
Instance details

Defined in Amazonka.SageMaker.Types.OfflineStoreStatusValue

Methods

toJSON :: OfflineStoreStatusValue -> Value #

toEncoding :: OfflineStoreStatusValue -> Encoding #

toJSONList :: [OfflineStoreStatusValue] -> Value #

toEncodingList :: [OfflineStoreStatusValue] -> Encoding #

ToJSONKey OfflineStoreStatusValue Source # 
Instance details

Defined in Amazonka.SageMaker.Types.OfflineStoreStatusValue

Methods

toJSONKey :: ToJSONKeyFunction OfflineStoreStatusValue #

toJSONKeyList :: ToJSONKeyFunction [OfflineStoreStatusValue] #

ToByteString OfflineStoreStatusValue Source # 
Instance details

Defined in Amazonka.SageMaker.Types.OfflineStoreStatusValue

Methods

toBS :: OfflineStoreStatusValue -> ByteString #

ToHeader OfflineStoreStatusValue Source # 
Instance details

Defined in Amazonka.SageMaker.Types.OfflineStoreStatusValue

Methods

toHeader :: HeaderName -> OfflineStoreStatusValue -> [Header] #

ToLog OfflineStoreStatusValue Source # 
Instance details

Defined in Amazonka.SageMaker.Types.OfflineStoreStatusValue

Methods

build :: OfflineStoreStatusValue -> ByteStringBuilder #

ToQuery OfflineStoreStatusValue Source # 
Instance details

Defined in Amazonka.SageMaker.Types.OfflineStoreStatusValue

Methods

toQuery :: OfflineStoreStatusValue -> QueryString #

FromText OfflineStoreStatusValue Source # 
Instance details

Defined in Amazonka.SageMaker.Types.OfflineStoreStatusValue

Methods

fromText :: Text -> Either String OfflineStoreStatusValue #

ToText OfflineStoreStatusValue Source # 
Instance details

Defined in Amazonka.SageMaker.Types.OfflineStoreStatusValue

Methods

toText :: OfflineStoreStatusValue -> Text #

FromXML OfflineStoreStatusValue Source # 
Instance details

Defined in Amazonka.SageMaker.Types.OfflineStoreStatusValue

Methods

parseXML :: [Node] -> Either String OfflineStoreStatusValue #

ToXML OfflineStoreStatusValue Source # 
Instance details

Defined in Amazonka.SageMaker.Types.OfflineStoreStatusValue

Methods

toXML :: OfflineStoreStatusValue -> XML #

Generic OfflineStoreStatusValue Source # 
Instance details

Defined in Amazonka.SageMaker.Types.OfflineStoreStatusValue

Associated Types

type Rep OfflineStoreStatusValue :: Type -> Type #

Methods

from :: OfflineStoreStatusValue -> Rep OfflineStoreStatusValue x #

to :: Rep OfflineStoreStatusValue x -> OfflineStoreStatusValue #

Read OfflineStoreStatusValue Source # 
Instance details

Defined in Amazonka.SageMaker.Types.OfflineStoreStatusValue

Methods

readsPrec :: Int -> ReadS OfflineStoreStatusValue #

readList :: ReadS [OfflineStoreStatusValue] #

readPrec :: ReadPrec OfflineStoreStatusValue #

readListPrec :: ReadPrec [OfflineStoreStatusValue] #

Show OfflineStoreStatusValue Source # 
Instance details

Defined in Amazonka.SageMaker.Types.OfflineStoreStatusValue

Methods

showsPrec :: Int -> OfflineStoreStatusValue -> ShowS #

show :: OfflineStoreStatusValue -> String #

showList :: [OfflineStoreStatusValue] -> ShowS #

NFData OfflineStoreStatusValue Source # 
Instance details

Defined in Amazonka.SageMaker.Types.OfflineStoreStatusValue

Methods

rnf :: OfflineStoreStatusValue -> () #

Eq OfflineStoreStatusValue Source # 
Instance details

Defined in Amazonka.SageMaker.Types.OfflineStoreStatusValue

Methods

(==) :: OfflineStoreStatusValue -> OfflineStoreStatusValue -> Bool #

(/=) :: OfflineStoreStatusValue -> OfflineStoreStatusValue -> Bool #

Ord OfflineStoreStatusValue Source # 
Instance details

Defined in Amazonka.SageMaker.Types.OfflineStoreStatusValue

Methods

compare :: OfflineStoreStatusValue -> OfflineStoreStatusValue -> Ordering #

(<) :: OfflineStoreStatusValue -> OfflineStoreStatusValue -> Bool #

(<=) :: OfflineStoreStatusValue -> OfflineStoreStatusValue -> Bool #

(>) :: OfflineStoreStatusValue -> OfflineStoreStatusValue -> Bool #

(>=) :: OfflineStoreStatusValue -> OfflineStoreStatusValue -> Bool #

max :: OfflineStoreStatusValue -> OfflineStoreStatusValue -> OfflineStoreStatusValue #

min :: OfflineStoreStatusValue -> OfflineStoreStatusValue -> OfflineStoreStatusValue #

Hashable OfflineStoreStatusValue Source # 
Instance details

Defined in Amazonka.SageMaker.Types.OfflineStoreStatusValue

Methods

hashWithSalt :: Int -> OfflineStoreStatusValue -> Int #

hash :: OfflineStoreStatusValue -> Int #

type Rep OfflineStoreStatusValue Source # 
Instance details

Defined in Amazonka.SageMaker.Types.OfflineStoreStatusValue

type Rep OfflineStoreStatusValue = D1 ('MetaData "OfflineStoreStatusValue" "Amazonka.SageMaker.Types.OfflineStoreStatusValue" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'True) (C1 ('MetaCons "OfflineStoreStatusValue'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromOfflineStoreStatusValue") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

Operator

newtype Operator Source #

Constructors

Operator' 

Fields

Bundled Patterns

pattern Operator_Contains :: Operator 
pattern Operator_Equals :: Operator 
pattern Operator_Exists :: Operator 
pattern Operator_GreaterThan :: Operator 
pattern Operator_GreaterThanOrEqualTo :: Operator 
pattern Operator_In :: Operator 
pattern Operator_LessThan :: Operator 
pattern Operator_LessThanOrEqualTo :: Operator 
pattern Operator_NotEquals :: Operator 
pattern Operator_NotExists :: Operator 

Instances

Instances details
FromJSON Operator Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Operator

Methods

parseJSON :: Value -> Parser Operator #

parseJSONList :: Value -> Parser [Operator] #

FromJSONKey Operator Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Operator

Methods

fromJSONKey :: FromJSONKeyFunction Operator #

fromJSONKeyList :: FromJSONKeyFunction [Operator] #

ToJSON Operator Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Operator

Methods

toJSON :: Operator -> Value #

toEncoding :: Operator -> Encoding #

toJSONList :: [Operator] -> Value #

toEncodingList :: [Operator] -> Encoding #

ToJSONKey Operator Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Operator

Methods

toJSONKey :: ToJSONKeyFunction Operator #

toJSONKeyList :: ToJSONKeyFunction [Operator] #

ToByteString Operator Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Operator

Methods

toBS :: Operator -> ByteString #

ToHeader Operator Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Operator

Methods

toHeader :: HeaderName -> Operator -> [Header] #

ToLog Operator Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Operator

Methods

build :: Operator -> ByteStringBuilder #

ToQuery Operator Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Operator

Methods

toQuery :: Operator -> QueryString #

FromText Operator Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Operator

Methods

fromText :: Text -> Either String Operator #

ToText Operator Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Operator

Methods

toText :: Operator -> Text #

FromXML Operator Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Operator

Methods

parseXML :: [Node] -> Either String Operator #

ToXML Operator Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Operator

Methods

toXML :: Operator -> XML #

Generic Operator Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Operator

Associated Types

type Rep Operator :: Type -> Type #

Methods

from :: Operator -> Rep Operator x #

to :: Rep Operator x -> Operator #

Read Operator Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Operator

Methods

readsPrec :: Int -> ReadS Operator #

readList :: ReadS [Operator] #

readPrec :: ReadPrec Operator #

readListPrec :: ReadPrec [Operator] #

Show Operator Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Operator

Methods

showsPrec :: Int -> Operator -> ShowS #

show :: Operator -> String #

showList :: [Operator] -> ShowS #

NFData Operator Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Operator

Methods

rnf :: Operator -> () #

Eq Operator Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Operator

Methods

(==) :: Operator -> Operator -> Bool #

(/=) :: Operator -> Operator -> Bool #

Ord Operator Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Operator

Methods

compare :: Operator -> Operator -> Ordering #

(<) :: Operator -> Operator -> Bool #

(<=) :: Operator -> Operator -> Bool #

(>) :: Operator -> Operator -> Bool #

(>=) :: Operator -> Operator -> Bool #

max :: Operator -> Operator -> Operator #

min :: Operator -> Operator -> Operator #

Hashable Operator Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Operator

Methods

hashWithSalt :: Int -> Operator -> Int #

hash :: Operator -> Int #

type Rep Operator Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Operator

type Rep Operator = D1 ('MetaData "Operator" "Amazonka.SageMaker.Types.Operator" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'True) (C1 ('MetaCons "Operator'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromOperator") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

OrderKey

newtype OrderKey Source #

Constructors

OrderKey' 

Fields

Bundled Patterns

pattern OrderKey_Ascending :: OrderKey 
pattern OrderKey_Descending :: OrderKey 

Instances

Instances details
FromJSON OrderKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.OrderKey

Methods

parseJSON :: Value -> Parser OrderKey #

parseJSONList :: Value -> Parser [OrderKey] #

FromJSONKey OrderKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.OrderKey

Methods

fromJSONKey :: FromJSONKeyFunction OrderKey #

fromJSONKeyList :: FromJSONKeyFunction [OrderKey] #

ToJSON OrderKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.OrderKey

Methods

toJSON :: OrderKey -> Value #

toEncoding :: OrderKey -> Encoding #

toJSONList :: [OrderKey] -> Value #

toEncodingList :: [OrderKey] -> Encoding #

ToJSONKey OrderKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.OrderKey

Methods

toJSONKey :: ToJSONKeyFunction OrderKey #

toJSONKeyList :: ToJSONKeyFunction [OrderKey] #

ToByteString OrderKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.OrderKey

Methods

toBS :: OrderKey -> ByteString #

ToHeader OrderKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.OrderKey

Methods

toHeader :: HeaderName -> OrderKey -> [Header] #

ToLog OrderKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.OrderKey

Methods

build :: OrderKey -> ByteStringBuilder #

ToQuery OrderKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.OrderKey

Methods

toQuery :: OrderKey -> QueryString #

FromText OrderKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.OrderKey

Methods

fromText :: Text -> Either String OrderKey #

ToText OrderKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.OrderKey

Methods

toText :: OrderKey -> Text #

FromXML OrderKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.OrderKey

Methods

parseXML :: [Node] -> Either String OrderKey #

ToXML OrderKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.OrderKey

Methods

toXML :: OrderKey -> XML #

Generic OrderKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.OrderKey

Associated Types

type Rep OrderKey :: Type -> Type #

Methods

from :: OrderKey -> Rep OrderKey x #

to :: Rep OrderKey x -> OrderKey #

Read OrderKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.OrderKey

Methods

readsPrec :: Int -> ReadS OrderKey #

readList :: ReadS [OrderKey] #

readPrec :: ReadPrec OrderKey #

readListPrec :: ReadPrec [OrderKey] #

Show OrderKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.OrderKey

Methods

showsPrec :: Int -> OrderKey -> ShowS #

show :: OrderKey -> String #

showList :: [OrderKey] -> ShowS #

NFData OrderKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.OrderKey

Methods

rnf :: OrderKey -> () #

Eq OrderKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.OrderKey

Methods

(==) :: OrderKey -> OrderKey -> Bool #

(/=) :: OrderKey -> OrderKey -> Bool #

Ord OrderKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.OrderKey

Methods

compare :: OrderKey -> OrderKey -> Ordering #

(<) :: OrderKey -> OrderKey -> Bool #

(<=) :: OrderKey -> OrderKey -> Bool #

(>) :: OrderKey -> OrderKey -> Bool #

(>=) :: OrderKey -> OrderKey -> Bool #

max :: OrderKey -> OrderKey -> OrderKey #

min :: OrderKey -> OrderKey -> OrderKey #

Hashable OrderKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.OrderKey

Methods

hashWithSalt :: Int -> OrderKey -> Int #

hash :: OrderKey -> Int #

type Rep OrderKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.OrderKey

type Rep OrderKey = D1 ('MetaData "OrderKey" "Amazonka.SageMaker.Types.OrderKey" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'True) (C1 ('MetaCons "OrderKey'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromOrderKey") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

ParameterType

newtype ParameterType Source #

Constructors

ParameterType' 

Fields

Bundled Patterns

pattern ParameterType_Categorical :: ParameterType 
pattern ParameterType_Continuous :: ParameterType 
pattern ParameterType_FreeText :: ParameterType 
pattern ParameterType_Integer :: ParameterType 

Instances

Instances details
FromJSON ParameterType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ParameterType

Methods

parseJSON :: Value -> Parser ParameterType #

parseJSONList :: Value -> Parser [ParameterType] #

FromJSONKey ParameterType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ParameterType

Methods

fromJSONKey :: FromJSONKeyFunction ParameterType #

fromJSONKeyList :: FromJSONKeyFunction [ParameterType] #

ToJSON ParameterType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ParameterType

Methods

toJSON :: ParameterType -> Value #

toEncoding :: ParameterType -> Encoding #

toJSONList :: [ParameterType] -> Value #

toEncodingList :: [ParameterType] -> Encoding #

ToJSONKey ParameterType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ParameterType

Methods

toJSONKey :: ToJSONKeyFunction ParameterType #

toJSONKeyList :: ToJSONKeyFunction [ParameterType] #

ToByteString ParameterType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ParameterType

Methods

toBS :: ParameterType -> ByteString #

ToHeader ParameterType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ParameterType

Methods

toHeader :: HeaderName -> ParameterType -> [Header] #

ToLog ParameterType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ParameterType

Methods

build :: ParameterType -> ByteStringBuilder #

ToQuery ParameterType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ParameterType

Methods

toQuery :: ParameterType -> QueryString #

FromText ParameterType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ParameterType

Methods

fromText :: Text -> Either String ParameterType #

ToText ParameterType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ParameterType

Methods

toText :: ParameterType -> Text #

FromXML ParameterType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ParameterType

Methods

parseXML :: [Node] -> Either String ParameterType #

ToXML ParameterType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ParameterType

Methods

toXML :: ParameterType -> XML #

Generic ParameterType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ParameterType

Associated Types

type Rep ParameterType :: Type -> Type #

Methods

from :: ParameterType -> Rep ParameterType x #

to :: Rep ParameterType x -> ParameterType #

Read ParameterType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ParameterType

Methods

readsPrec :: Int -> ReadS ParameterType #

readList :: ReadS [ParameterType] #

readPrec :: ReadPrec ParameterType #

readListPrec :: ReadPrec [ParameterType] #

Show ParameterType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ParameterType

Methods

showsPrec :: Int -> ParameterType -> ShowS #

show :: ParameterType -> String #

showList :: [ParameterType] -> ShowS #

NFData ParameterType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ParameterType

Methods

rnf :: ParameterType -> () #

Eq ParameterType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ParameterType

Methods

(==) :: ParameterType -> ParameterType -> Bool #

(/=) :: ParameterType -> ParameterType -> Bool #

Ord ParameterType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ParameterType

Methods

compare :: ParameterType -> ParameterType -> Ordering #

(<) :: ParameterType -> ParameterType -> Bool #

(<=) :: ParameterType -> ParameterType -> Bool #

(>) :: ParameterType -> ParameterType -> Bool #

(>=) :: ParameterType -> ParameterType -> Bool #

max :: ParameterType -> ParameterType -> ParameterType #

min :: ParameterType -> ParameterType -> ParameterType #

Hashable ParameterType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ParameterType

Methods

hashWithSalt :: Int -> ParameterType -> Int #

hash :: ParameterType -> Int #

type Rep ParameterType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ParameterType

type Rep ParameterType = D1 ('MetaData "ParameterType" "Amazonka.SageMaker.Types.ParameterType" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'True) (C1 ('MetaCons "ParameterType'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromParameterType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

PipelineExecutionStatus

newtype PipelineExecutionStatus Source #

Constructors

PipelineExecutionStatus' 

Fields

Bundled Patterns

pattern PipelineExecutionStatus_Executing :: PipelineExecutionStatus 
pattern PipelineExecutionStatus_Failed :: PipelineExecutionStatus 
pattern PipelineExecutionStatus_Stopped :: PipelineExecutionStatus 
pattern PipelineExecutionStatus_Stopping :: PipelineExecutionStatus 
pattern PipelineExecutionStatus_Succeeded :: PipelineExecutionStatus 

Instances

Instances details
FromJSON PipelineExecutionStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.PipelineExecutionStatus

Methods

parseJSON :: Value -> Parser PipelineExecutionStatus #

parseJSONList :: Value -> Parser [PipelineExecutionStatus] #

FromJSONKey PipelineExecutionStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.PipelineExecutionStatus

Methods

fromJSONKey :: FromJSONKeyFunction PipelineExecutionStatus #

fromJSONKeyList :: FromJSONKeyFunction [PipelineExecutionStatus] #

ToJSON PipelineExecutionStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.PipelineExecutionStatus

Methods

toJSON :: PipelineExecutionStatus -> Value #

toEncoding :: PipelineExecutionStatus -> Encoding #

toJSONList :: [PipelineExecutionStatus] -> Value #

toEncodingList :: [PipelineExecutionStatus] -> Encoding #

ToJSONKey PipelineExecutionStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.PipelineExecutionStatus

Methods

toJSONKey :: ToJSONKeyFunction PipelineExecutionStatus #

toJSONKeyList :: ToJSONKeyFunction [PipelineExecutionStatus] #

ToByteString PipelineExecutionStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.PipelineExecutionStatus

Methods

toBS :: PipelineExecutionStatus -> ByteString #

ToHeader PipelineExecutionStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.PipelineExecutionStatus

Methods

toHeader :: HeaderName -> PipelineExecutionStatus -> [Header] #

ToLog PipelineExecutionStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.PipelineExecutionStatus

Methods

build :: PipelineExecutionStatus -> ByteStringBuilder #

ToQuery PipelineExecutionStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.PipelineExecutionStatus

Methods

toQuery :: PipelineExecutionStatus -> QueryString #

FromText PipelineExecutionStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.PipelineExecutionStatus

Methods

fromText :: Text -> Either String PipelineExecutionStatus #

ToText PipelineExecutionStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.PipelineExecutionStatus

Methods

toText :: PipelineExecutionStatus -> Text #

FromXML PipelineExecutionStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.PipelineExecutionStatus

Methods

parseXML :: [Node] -> Either String PipelineExecutionStatus #

ToXML PipelineExecutionStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.PipelineExecutionStatus

Methods

toXML :: PipelineExecutionStatus -> XML #

Generic PipelineExecutionStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.PipelineExecutionStatus

Associated Types

type Rep PipelineExecutionStatus :: Type -> Type #

Methods

from :: PipelineExecutionStatus -> Rep PipelineExecutionStatus x #

to :: Rep PipelineExecutionStatus x -> PipelineExecutionStatus #

Read PipelineExecutionStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.PipelineExecutionStatus

Methods

readsPrec :: Int -> ReadS PipelineExecutionStatus #

readList :: ReadS [PipelineExecutionStatus] #

readPrec :: ReadPrec PipelineExecutionStatus #

readListPrec :: ReadPrec [PipelineExecutionStatus] #

Show PipelineExecutionStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.PipelineExecutionStatus

Methods

showsPrec :: Int -> PipelineExecutionStatus -> ShowS #

show :: PipelineExecutionStatus -> String #

showList :: [PipelineExecutionStatus] -> ShowS #

NFData PipelineExecutionStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.PipelineExecutionStatus

Methods

rnf :: PipelineExecutionStatus -> () #

Eq PipelineExecutionStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.PipelineExecutionStatus

Methods

(==) :: PipelineExecutionStatus -> PipelineExecutionStatus -> Bool #

(/=) :: PipelineExecutionStatus -> PipelineExecutionStatus -> Bool #

Ord PipelineExecutionStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.PipelineExecutionStatus

Methods

compare :: PipelineExecutionStatus -> PipelineExecutionStatus -> Ordering #

(<) :: PipelineExecutionStatus -> PipelineExecutionStatus -> Bool #

(<=) :: PipelineExecutionStatus -> PipelineExecutionStatus -> Bool #

(>) :: PipelineExecutionStatus -> PipelineExecutionStatus -> Bool #

(>=) :: PipelineExecutionStatus -> PipelineExecutionStatus -> Bool #

max :: PipelineExecutionStatus -> PipelineExecutionStatus -> PipelineExecutionStatus #

min :: PipelineExecutionStatus -> PipelineExecutionStatus -> PipelineExecutionStatus #

Hashable PipelineExecutionStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.PipelineExecutionStatus

Methods

hashWithSalt :: Int -> PipelineExecutionStatus -> Int #

hash :: PipelineExecutionStatus -> Int #

type Rep PipelineExecutionStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.PipelineExecutionStatus

type Rep PipelineExecutionStatus = D1 ('MetaData "PipelineExecutionStatus" "Amazonka.SageMaker.Types.PipelineExecutionStatus" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'True) (C1 ('MetaCons "PipelineExecutionStatus'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromPipelineExecutionStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

PipelineStatus

newtype PipelineStatus Source #

Constructors

PipelineStatus' 

Fields

Bundled Patterns

pattern PipelineStatus_Active :: PipelineStatus 

Instances

Instances details
FromJSON PipelineStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.PipelineStatus

Methods

parseJSON :: Value -> Parser PipelineStatus #

parseJSONList :: Value -> Parser [PipelineStatus] #

FromJSONKey PipelineStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.PipelineStatus

Methods

fromJSONKey :: FromJSONKeyFunction PipelineStatus #

fromJSONKeyList :: FromJSONKeyFunction [PipelineStatus] #

ToJSON PipelineStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.PipelineStatus

Methods

toJSON :: PipelineStatus -> Value #

toEncoding :: PipelineStatus -> Encoding #

toJSONList :: [PipelineStatus] -> Value #

toEncodingList :: [PipelineStatus] -> Encoding #

ToJSONKey PipelineStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.PipelineStatus

Methods

toJSONKey :: ToJSONKeyFunction PipelineStatus #

toJSONKeyList :: ToJSONKeyFunction [PipelineStatus] #

ToByteString PipelineStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.PipelineStatus

Methods

toBS :: PipelineStatus -> ByteString #

ToHeader PipelineStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.PipelineStatus

Methods

toHeader :: HeaderName -> PipelineStatus -> [Header] #

ToLog PipelineStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.PipelineStatus

Methods

build :: PipelineStatus -> ByteStringBuilder #

ToQuery PipelineStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.PipelineStatus

Methods

toQuery :: PipelineStatus -> QueryString #

FromText PipelineStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.PipelineStatus

Methods

fromText :: Text -> Either String PipelineStatus #

ToText PipelineStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.PipelineStatus

Methods

toText :: PipelineStatus -> Text #

FromXML PipelineStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.PipelineStatus

Methods

parseXML :: [Node] -> Either String PipelineStatus #

ToXML PipelineStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.PipelineStatus

Methods

toXML :: PipelineStatus -> XML #

Generic PipelineStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.PipelineStatus

Associated Types

type Rep PipelineStatus :: Type -> Type #

Methods

from :: PipelineStatus -> Rep PipelineStatus x #

to :: Rep PipelineStatus x -> PipelineStatus #

Read PipelineStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.PipelineStatus

Methods

readsPrec :: Int -> ReadS PipelineStatus #

readList :: ReadS [PipelineStatus] #

readPrec :: ReadPrec PipelineStatus #

readListPrec :: ReadPrec [PipelineStatus] #

Show PipelineStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.PipelineStatus

Methods

showsPrec :: Int -> PipelineStatus -> ShowS #

show :: PipelineStatus -> String #

showList :: [PipelineStatus] -> ShowS #

NFData PipelineStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.PipelineStatus

Methods

rnf :: PipelineStatus -> () #

Eq PipelineStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.PipelineStatus

Methods

(==) :: PipelineStatus -> PipelineStatus -> Bool #

(/=) :: PipelineStatus -> PipelineStatus -> Bool #

Ord PipelineStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.PipelineStatus

Methods

compare :: PipelineStatus -> PipelineStatus -> Ordering #

(<) :: PipelineStatus -> PipelineStatus -> Bool #

(<=) :: PipelineStatus -> PipelineStatus -> Bool #

(>) :: PipelineStatus -> PipelineStatus -> Bool #

(>=) :: PipelineStatus -> PipelineStatus -> Bool #

max :: PipelineStatus -> PipelineStatus -> PipelineStatus #

min :: PipelineStatus -> PipelineStatus -> PipelineStatus #

Hashable PipelineStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.PipelineStatus

Methods

hashWithSalt :: Int -> PipelineStatus -> Int #

hash :: PipelineStatus -> Int #

type Rep PipelineStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.PipelineStatus

type Rep PipelineStatus = D1 ('MetaData "PipelineStatus" "Amazonka.SageMaker.Types.PipelineStatus" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'True) (C1 ('MetaCons "PipelineStatus'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromPipelineStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

ProblemType

newtype ProblemType Source #

Constructors

ProblemType' 

Fields

Bundled Patterns

pattern ProblemType_BinaryClassification :: ProblemType 
pattern ProblemType_MulticlassClassification :: ProblemType 
pattern ProblemType_Regression :: ProblemType 

Instances

Instances details
FromJSON ProblemType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProblemType

Methods

parseJSON :: Value -> Parser ProblemType #

parseJSONList :: Value -> Parser [ProblemType] #

FromJSONKey ProblemType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProblemType

Methods

fromJSONKey :: FromJSONKeyFunction ProblemType #

fromJSONKeyList :: FromJSONKeyFunction [ProblemType] #

ToJSON ProblemType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProblemType

Methods

toJSON :: ProblemType -> Value #

toEncoding :: ProblemType -> Encoding #

toJSONList :: [ProblemType] -> Value #

toEncodingList :: [ProblemType] -> Encoding #

ToJSONKey ProblemType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProblemType

Methods

toJSONKey :: ToJSONKeyFunction ProblemType #

toJSONKeyList :: ToJSONKeyFunction [ProblemType] #

ToByteString ProblemType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProblemType

Methods

toBS :: ProblemType -> ByteString #

ToHeader ProblemType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProblemType

Methods

toHeader :: HeaderName -> ProblemType -> [Header] #

ToLog ProblemType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProblemType

Methods

build :: ProblemType -> ByteStringBuilder #

ToQuery ProblemType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProblemType

Methods

toQuery :: ProblemType -> QueryString #

FromText ProblemType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProblemType

Methods

fromText :: Text -> Either String ProblemType #

ToText ProblemType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProblemType

Methods

toText :: ProblemType -> Text #

FromXML ProblemType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProblemType

Methods

parseXML :: [Node] -> Either String ProblemType #

ToXML ProblemType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProblemType

Methods

toXML :: ProblemType -> XML #

Generic ProblemType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProblemType

Associated Types

type Rep ProblemType :: Type -> Type #

Methods

from :: ProblemType -> Rep ProblemType x #

to :: Rep ProblemType x -> ProblemType #

Read ProblemType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProblemType

Methods

readsPrec :: Int -> ReadS ProblemType #

readList :: ReadS [ProblemType] #

readPrec :: ReadPrec ProblemType #

readListPrec :: ReadPrec [ProblemType] #

Show ProblemType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProblemType

Methods

showsPrec :: Int -> ProblemType -> ShowS #

show :: ProblemType -> String #

showList :: [ProblemType] -> ShowS #

NFData ProblemType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProblemType

Methods

rnf :: ProblemType -> () #

Eq ProblemType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProblemType

Methods

(==) :: ProblemType -> ProblemType -> Bool #

(/=) :: ProblemType -> ProblemType -> Bool #

Ord ProblemType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProblemType

Methods

compare :: ProblemType -> ProblemType -> Ordering #

(<) :: ProblemType -> ProblemType -> Bool #

(<=) :: ProblemType -> ProblemType -> Bool #

(>) :: ProblemType -> ProblemType -> Bool #

(>=) :: ProblemType -> ProblemType -> Bool #

max :: ProblemType -> ProblemType -> ProblemType #

min :: ProblemType -> ProblemType -> ProblemType #

Hashable ProblemType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProblemType

Methods

hashWithSalt :: Int -> ProblemType -> Int #

hash :: ProblemType -> Int #

type Rep ProblemType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProblemType

type Rep ProblemType = D1 ('MetaData "ProblemType" "Amazonka.SageMaker.Types.ProblemType" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'True) (C1 ('MetaCons "ProblemType'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromProblemType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

ProcessingInstanceType

newtype ProcessingInstanceType Source #

Constructors

ProcessingInstanceType' 

Fields

Bundled Patterns

pattern ProcessingInstanceType_Ml_c4_2xlarge :: ProcessingInstanceType 
pattern ProcessingInstanceType_Ml_c4_4xlarge :: ProcessingInstanceType 
pattern ProcessingInstanceType_Ml_c4_8xlarge :: ProcessingInstanceType 
pattern ProcessingInstanceType_Ml_c4_xlarge :: ProcessingInstanceType 
pattern ProcessingInstanceType_Ml_c5_18xlarge :: ProcessingInstanceType 
pattern ProcessingInstanceType_Ml_c5_2xlarge :: ProcessingInstanceType 
pattern ProcessingInstanceType_Ml_c5_4xlarge :: ProcessingInstanceType 
pattern ProcessingInstanceType_Ml_c5_9xlarge :: ProcessingInstanceType 
pattern ProcessingInstanceType_Ml_c5_xlarge :: ProcessingInstanceType 
pattern ProcessingInstanceType_Ml_g4dn_12xlarge :: ProcessingInstanceType 
pattern ProcessingInstanceType_Ml_g4dn_16xlarge :: ProcessingInstanceType 
pattern ProcessingInstanceType_Ml_g4dn_2xlarge :: ProcessingInstanceType 
pattern ProcessingInstanceType_Ml_g4dn_4xlarge :: ProcessingInstanceType 
pattern ProcessingInstanceType_Ml_g4dn_8xlarge :: ProcessingInstanceType 
pattern ProcessingInstanceType_Ml_g4dn_xlarge :: ProcessingInstanceType 
pattern ProcessingInstanceType_Ml_m4_10xlarge :: ProcessingInstanceType 
pattern ProcessingInstanceType_Ml_m4_16xlarge :: ProcessingInstanceType 
pattern ProcessingInstanceType_Ml_m4_2xlarge :: ProcessingInstanceType 
pattern ProcessingInstanceType_Ml_m4_4xlarge :: ProcessingInstanceType 
pattern ProcessingInstanceType_Ml_m4_xlarge :: ProcessingInstanceType 
pattern ProcessingInstanceType_Ml_m5_12xlarge :: ProcessingInstanceType 
pattern ProcessingInstanceType_Ml_m5_24xlarge :: ProcessingInstanceType 
pattern ProcessingInstanceType_Ml_m5_2xlarge :: ProcessingInstanceType 
pattern ProcessingInstanceType_Ml_m5_4xlarge :: ProcessingInstanceType 
pattern ProcessingInstanceType_Ml_m5_large :: ProcessingInstanceType 
pattern ProcessingInstanceType_Ml_m5_xlarge :: ProcessingInstanceType 
pattern ProcessingInstanceType_Ml_p2_16xlarge :: ProcessingInstanceType 
pattern ProcessingInstanceType_Ml_p2_8xlarge :: ProcessingInstanceType 
pattern ProcessingInstanceType_Ml_p2_xlarge :: ProcessingInstanceType 
pattern ProcessingInstanceType_Ml_p3_16xlarge :: ProcessingInstanceType 
pattern ProcessingInstanceType_Ml_p3_2xlarge :: ProcessingInstanceType 
pattern ProcessingInstanceType_Ml_p3_8xlarge :: ProcessingInstanceType 
pattern ProcessingInstanceType_Ml_r5_12xlarge :: ProcessingInstanceType 
pattern ProcessingInstanceType_Ml_r5_16xlarge :: ProcessingInstanceType 
pattern ProcessingInstanceType_Ml_r5_24xlarge :: ProcessingInstanceType 
pattern ProcessingInstanceType_Ml_r5_2xlarge :: ProcessingInstanceType 
pattern ProcessingInstanceType_Ml_r5_4xlarge :: ProcessingInstanceType 
pattern ProcessingInstanceType_Ml_r5_8xlarge :: ProcessingInstanceType 
pattern ProcessingInstanceType_Ml_r5_large :: ProcessingInstanceType 
pattern ProcessingInstanceType_Ml_r5_xlarge :: ProcessingInstanceType 
pattern ProcessingInstanceType_Ml_t3_2xlarge :: ProcessingInstanceType 
pattern ProcessingInstanceType_Ml_t3_large :: ProcessingInstanceType 
pattern ProcessingInstanceType_Ml_t3_medium :: ProcessingInstanceType 
pattern ProcessingInstanceType_Ml_t3_xlarge :: ProcessingInstanceType 

Instances

Instances details
FromJSON ProcessingInstanceType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingInstanceType

Methods

parseJSON :: Value -> Parser ProcessingInstanceType #

parseJSONList :: Value -> Parser [ProcessingInstanceType] #

FromJSONKey ProcessingInstanceType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingInstanceType

Methods

fromJSONKey :: FromJSONKeyFunction ProcessingInstanceType #

fromJSONKeyList :: FromJSONKeyFunction [ProcessingInstanceType] #

ToJSON ProcessingInstanceType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingInstanceType

Methods

toJSON :: ProcessingInstanceType -> Value #

toEncoding :: ProcessingInstanceType -> Encoding #

toJSONList :: [ProcessingInstanceType] -> Value #

toEncodingList :: [ProcessingInstanceType] -> Encoding #

ToJSONKey ProcessingInstanceType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingInstanceType

Methods

toJSONKey :: ToJSONKeyFunction ProcessingInstanceType #

toJSONKeyList :: ToJSONKeyFunction [ProcessingInstanceType] #

ToByteString ProcessingInstanceType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingInstanceType

Methods

toBS :: ProcessingInstanceType -> ByteString #

ToHeader ProcessingInstanceType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingInstanceType

Methods

toHeader :: HeaderName -> ProcessingInstanceType -> [Header] #

ToLog ProcessingInstanceType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingInstanceType

Methods

build :: ProcessingInstanceType -> ByteStringBuilder #

ToQuery ProcessingInstanceType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingInstanceType

Methods

toQuery :: ProcessingInstanceType -> QueryString #

FromText ProcessingInstanceType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingInstanceType

Methods

fromText :: Text -> Either String ProcessingInstanceType #

ToText ProcessingInstanceType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingInstanceType

Methods

toText :: ProcessingInstanceType -> Text #

FromXML ProcessingInstanceType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingInstanceType

Methods

parseXML :: [Node] -> Either String ProcessingInstanceType #

ToXML ProcessingInstanceType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingInstanceType

Methods

toXML :: ProcessingInstanceType -> XML #

Generic ProcessingInstanceType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingInstanceType

Associated Types

type Rep ProcessingInstanceType :: Type -> Type #

Methods

from :: ProcessingInstanceType -> Rep ProcessingInstanceType x #

to :: Rep ProcessingInstanceType x -> ProcessingInstanceType #

Read ProcessingInstanceType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingInstanceType

Methods

readsPrec :: Int -> ReadS ProcessingInstanceType #

readList :: ReadS [ProcessingInstanceType] #

readPrec :: ReadPrec ProcessingInstanceType #

readListPrec :: ReadPrec [ProcessingInstanceType] #

Show ProcessingInstanceType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingInstanceType

Methods

showsPrec :: Int -> ProcessingInstanceType -> ShowS #

show :: ProcessingInstanceType -> String #

showList :: [ProcessingInstanceType] -> ShowS #

NFData ProcessingInstanceType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingInstanceType

Methods

rnf :: ProcessingInstanceType -> () #

Eq ProcessingInstanceType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingInstanceType

Methods

(==) :: ProcessingInstanceType -> ProcessingInstanceType -> Bool #

(/=) :: ProcessingInstanceType -> ProcessingInstanceType -> Bool #

Ord ProcessingInstanceType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingInstanceType

Methods

compare :: ProcessingInstanceType -> ProcessingInstanceType -> Ordering #

(<) :: ProcessingInstanceType -> ProcessingInstanceType -> Bool #

(<=) :: ProcessingInstanceType -> ProcessingInstanceType -> Bool #

(>) :: ProcessingInstanceType -> ProcessingInstanceType -> Bool #

(>=) :: ProcessingInstanceType -> ProcessingInstanceType -> Bool #

max :: ProcessingInstanceType -> ProcessingInstanceType -> ProcessingInstanceType #

min :: ProcessingInstanceType -> ProcessingInstanceType -> ProcessingInstanceType #

Hashable ProcessingInstanceType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingInstanceType

Methods

hashWithSalt :: Int -> ProcessingInstanceType -> Int #

hash :: ProcessingInstanceType -> Int #

type Rep ProcessingInstanceType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingInstanceType

type Rep ProcessingInstanceType = D1 ('MetaData "ProcessingInstanceType" "Amazonka.SageMaker.Types.ProcessingInstanceType" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'True) (C1 ('MetaCons "ProcessingInstanceType'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromProcessingInstanceType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

ProcessingJobStatus

newtype ProcessingJobStatus Source #

Constructors

ProcessingJobStatus' 

Fields

Bundled Patterns

pattern ProcessingJobStatus_Completed :: ProcessingJobStatus 
pattern ProcessingJobStatus_Failed :: ProcessingJobStatus 
pattern ProcessingJobStatus_InProgress :: ProcessingJobStatus 
pattern ProcessingJobStatus_Stopped :: ProcessingJobStatus 
pattern ProcessingJobStatus_Stopping :: ProcessingJobStatus 

Instances

Instances details
FromJSON ProcessingJobStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingJobStatus

Methods

parseJSON :: Value -> Parser ProcessingJobStatus #

parseJSONList :: Value -> Parser [ProcessingJobStatus] #

FromJSONKey ProcessingJobStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingJobStatus

Methods

fromJSONKey :: FromJSONKeyFunction ProcessingJobStatus #

fromJSONKeyList :: FromJSONKeyFunction [ProcessingJobStatus] #

ToJSON ProcessingJobStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingJobStatus

Methods

toJSON :: ProcessingJobStatus -> Value #

toEncoding :: ProcessingJobStatus -> Encoding #

toJSONList :: [ProcessingJobStatus] -> Value #

toEncodingList :: [ProcessingJobStatus] -> Encoding #

ToJSONKey ProcessingJobStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingJobStatus

Methods

toJSONKey :: ToJSONKeyFunction ProcessingJobStatus #

toJSONKeyList :: ToJSONKeyFunction [ProcessingJobStatus] #

ToByteString ProcessingJobStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingJobStatus

Methods

toBS :: ProcessingJobStatus -> ByteString #

ToHeader ProcessingJobStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingJobStatus

Methods

toHeader :: HeaderName -> ProcessingJobStatus -> [Header] #

ToLog ProcessingJobStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingJobStatus

Methods

build :: ProcessingJobStatus -> ByteStringBuilder #

ToQuery ProcessingJobStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingJobStatus

Methods

toQuery :: ProcessingJobStatus -> QueryString #

FromText ProcessingJobStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingJobStatus

Methods

fromText :: Text -> Either String ProcessingJobStatus #

ToText ProcessingJobStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingJobStatus

Methods

toText :: ProcessingJobStatus -> Text #

FromXML ProcessingJobStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingJobStatus

Methods

parseXML :: [Node] -> Either String ProcessingJobStatus #

ToXML ProcessingJobStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingJobStatus

Methods

toXML :: ProcessingJobStatus -> XML #

Generic ProcessingJobStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingJobStatus

Associated Types

type Rep ProcessingJobStatus :: Type -> Type #

Methods

from :: ProcessingJobStatus -> Rep ProcessingJobStatus x #

to :: Rep ProcessingJobStatus x -> ProcessingJobStatus #

Read ProcessingJobStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingJobStatus

Methods

readsPrec :: Int -> ReadS ProcessingJobStatus #

readList :: ReadS [ProcessingJobStatus] #

readPrec :: ReadPrec ProcessingJobStatus #

readListPrec :: ReadPrec [ProcessingJobStatus] #

Show ProcessingJobStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingJobStatus

Methods

showsPrec :: Int -> ProcessingJobStatus -> ShowS #

show :: ProcessingJobStatus -> String #

showList :: [ProcessingJobStatus] -> ShowS #

NFData ProcessingJobStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingJobStatus

Methods

rnf :: ProcessingJobStatus -> () #

Eq ProcessingJobStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingJobStatus

Methods

(==) :: ProcessingJobStatus -> ProcessingJobStatus -> Bool #

(/=) :: ProcessingJobStatus -> ProcessingJobStatus -> Bool #

Ord ProcessingJobStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingJobStatus

Methods

compare :: ProcessingJobStatus -> ProcessingJobStatus -> Ordering #

(<) :: ProcessingJobStatus -> ProcessingJobStatus -> Bool #

(<=) :: ProcessingJobStatus -> ProcessingJobStatus -> Bool #

(>) :: ProcessingJobStatus -> ProcessingJobStatus -> Bool #

(>=) :: ProcessingJobStatus -> ProcessingJobStatus -> Bool #

max :: ProcessingJobStatus -> ProcessingJobStatus -> ProcessingJobStatus #

min :: ProcessingJobStatus -> ProcessingJobStatus -> ProcessingJobStatus #

Hashable ProcessingJobStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingJobStatus

Methods

hashWithSalt :: Int -> ProcessingJobStatus -> Int #

hash :: ProcessingJobStatus -> Int #

type Rep ProcessingJobStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingJobStatus

type Rep ProcessingJobStatus = D1 ('MetaData "ProcessingJobStatus" "Amazonka.SageMaker.Types.ProcessingJobStatus" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'True) (C1 ('MetaCons "ProcessingJobStatus'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromProcessingJobStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

ProcessingS3CompressionType

newtype ProcessingS3CompressionType Source #

Constructors

ProcessingS3CompressionType' 

Fields

Bundled Patterns

pattern ProcessingS3CompressionType_Gzip :: ProcessingS3CompressionType 
pattern ProcessingS3CompressionType_None :: ProcessingS3CompressionType 

Instances

Instances details
FromJSON ProcessingS3CompressionType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingS3CompressionType

Methods

parseJSON :: Value -> Parser ProcessingS3CompressionType #

parseJSONList :: Value -> Parser [ProcessingS3CompressionType] #

FromJSONKey ProcessingS3CompressionType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingS3CompressionType

Methods

fromJSONKey :: FromJSONKeyFunction ProcessingS3CompressionType #

fromJSONKeyList :: FromJSONKeyFunction [ProcessingS3CompressionType] #

ToJSON ProcessingS3CompressionType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingS3CompressionType

Methods

toJSON :: ProcessingS3CompressionType -> Value #

toEncoding :: ProcessingS3CompressionType -> Encoding #

toJSONList :: [ProcessingS3CompressionType] -> Value #

toEncodingList :: [ProcessingS3CompressionType] -> Encoding #

ToJSONKey ProcessingS3CompressionType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingS3CompressionType

Methods

toJSONKey :: ToJSONKeyFunction ProcessingS3CompressionType #

toJSONKeyList :: ToJSONKeyFunction [ProcessingS3CompressionType] #

ToByteString ProcessingS3CompressionType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingS3CompressionType

Methods

toBS :: ProcessingS3CompressionType -> ByteString #

ToHeader ProcessingS3CompressionType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingS3CompressionType

Methods

toHeader :: HeaderName -> ProcessingS3CompressionType -> [Header] #

ToLog ProcessingS3CompressionType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingS3CompressionType

Methods

build :: ProcessingS3CompressionType -> ByteStringBuilder #

ToQuery ProcessingS3CompressionType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingS3CompressionType

Methods

toQuery :: ProcessingS3CompressionType -> QueryString #

FromText ProcessingS3CompressionType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingS3CompressionType

Methods

fromText :: Text -> Either String ProcessingS3CompressionType #

ToText ProcessingS3CompressionType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingS3CompressionType

Methods

toText :: ProcessingS3CompressionType -> Text #

FromXML ProcessingS3CompressionType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingS3CompressionType

Methods

parseXML :: [Node] -> Either String ProcessingS3CompressionType #

ToXML ProcessingS3CompressionType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingS3CompressionType

Methods

toXML :: ProcessingS3CompressionType -> XML #

Generic ProcessingS3CompressionType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingS3CompressionType

Associated Types

type Rep ProcessingS3CompressionType :: Type -> Type #

Methods

from :: ProcessingS3CompressionType -> Rep ProcessingS3CompressionType x #

to :: Rep ProcessingS3CompressionType x -> ProcessingS3CompressionType #

Read ProcessingS3CompressionType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingS3CompressionType

Methods

readsPrec :: Int -> ReadS ProcessingS3CompressionType #

readList :: ReadS [ProcessingS3CompressionType] #

readPrec :: ReadPrec ProcessingS3CompressionType #

readListPrec :: ReadPrec [ProcessingS3CompressionType] #

Show ProcessingS3CompressionType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingS3CompressionType

Methods

showsPrec :: Int -> ProcessingS3CompressionType -> ShowS #

show :: ProcessingS3CompressionType -> String #

showList :: [ProcessingS3CompressionType] -> ShowS #

NFData ProcessingS3CompressionType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingS3CompressionType

Methods

rnf :: ProcessingS3CompressionType -> () #

Eq ProcessingS3CompressionType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingS3CompressionType

Methods

(==) :: ProcessingS3CompressionType -> ProcessingS3CompressionType -> Bool #

(/=) :: ProcessingS3CompressionType -> ProcessingS3CompressionType -> Bool #

Ord ProcessingS3CompressionType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingS3CompressionType

Methods

compare :: ProcessingS3CompressionType -> ProcessingS3CompressionType -> Ordering #

(<) :: ProcessingS3CompressionType -> ProcessingS3CompressionType -> Bool #

(<=) :: ProcessingS3CompressionType -> ProcessingS3CompressionType -> Bool #

(>) :: ProcessingS3CompressionType -> ProcessingS3CompressionType -> Bool #

(>=) :: ProcessingS3CompressionType -> ProcessingS3CompressionType -> Bool #

max :: ProcessingS3CompressionType -> ProcessingS3CompressionType -> ProcessingS3CompressionType #

min :: ProcessingS3CompressionType -> ProcessingS3CompressionType -> ProcessingS3CompressionType #

Hashable ProcessingS3CompressionType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingS3CompressionType

Methods

hashWithSalt :: Int -> ProcessingS3CompressionType -> Int #

hash :: ProcessingS3CompressionType -> Int #

type Rep ProcessingS3CompressionType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingS3CompressionType

type Rep ProcessingS3CompressionType = D1 ('MetaData "ProcessingS3CompressionType" "Amazonka.SageMaker.Types.ProcessingS3CompressionType" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'True) (C1 ('MetaCons "ProcessingS3CompressionType'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromProcessingS3CompressionType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

ProcessingS3DataDistributionType

newtype ProcessingS3DataDistributionType Source #

Constructors

ProcessingS3DataDistributionType' 

Fields

Bundled Patterns

pattern ProcessingS3DataDistributionType_FullyReplicated :: ProcessingS3DataDistributionType 
pattern ProcessingS3DataDistributionType_ShardedByS3Key :: ProcessingS3DataDistributionType 

Instances

Instances details
FromJSON ProcessingS3DataDistributionType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingS3DataDistributionType

Methods

parseJSON :: Value -> Parser ProcessingS3DataDistributionType #

parseJSONList :: Value -> Parser [ProcessingS3DataDistributionType] #

FromJSONKey ProcessingS3DataDistributionType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingS3DataDistributionType

Methods

fromJSONKey :: FromJSONKeyFunction ProcessingS3DataDistributionType #

fromJSONKeyList :: FromJSONKeyFunction [ProcessingS3DataDistributionType] #

ToJSON ProcessingS3DataDistributionType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingS3DataDistributionType

Methods

toJSON :: ProcessingS3DataDistributionType -> Value #

toEncoding :: ProcessingS3DataDistributionType -> Encoding #

toJSONList :: [ProcessingS3DataDistributionType] -> Value #

toEncodingList :: [ProcessingS3DataDistributionType] -> Encoding #

ToJSONKey ProcessingS3DataDistributionType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingS3DataDistributionType

Methods

toJSONKey :: ToJSONKeyFunction ProcessingS3DataDistributionType #

toJSONKeyList :: ToJSONKeyFunction [ProcessingS3DataDistributionType] #

ToByteString ProcessingS3DataDistributionType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingS3DataDistributionType

Methods

toBS :: ProcessingS3DataDistributionType -> ByteString #

ToHeader ProcessingS3DataDistributionType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingS3DataDistributionType

Methods

toHeader :: HeaderName -> ProcessingS3DataDistributionType -> [Header] #

ToLog ProcessingS3DataDistributionType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingS3DataDistributionType

Methods

build :: ProcessingS3DataDistributionType -> ByteStringBuilder #

ToQuery ProcessingS3DataDistributionType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingS3DataDistributionType

Methods

toQuery :: ProcessingS3DataDistributionType -> QueryString #

FromText ProcessingS3DataDistributionType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingS3DataDistributionType

Methods

fromText :: Text -> Either String ProcessingS3DataDistributionType #

ToText ProcessingS3DataDistributionType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingS3DataDistributionType

Methods

toText :: ProcessingS3DataDistributionType -> Text #

FromXML ProcessingS3DataDistributionType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingS3DataDistributionType

Methods

parseXML :: [Node] -> Either String ProcessingS3DataDistributionType #

ToXML ProcessingS3DataDistributionType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingS3DataDistributionType

Methods

toXML :: ProcessingS3DataDistributionType -> XML #

Generic ProcessingS3DataDistributionType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingS3DataDistributionType

Associated Types

type Rep ProcessingS3DataDistributionType :: Type -> Type #

Methods

from :: ProcessingS3DataDistributionType -> Rep ProcessingS3DataDistributionType x #

to :: Rep ProcessingS3DataDistributionType x -> ProcessingS3DataDistributionType #

Read ProcessingS3DataDistributionType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingS3DataDistributionType

Methods

readsPrec :: Int -> ReadS ProcessingS3DataDistributionType #

readList :: ReadS [ProcessingS3DataDistributionType] #

readPrec :: ReadPrec ProcessingS3DataDistributionType #

readListPrec :: ReadPrec [ProcessingS3DataDistributionType] #

Show ProcessingS3DataDistributionType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingS3DataDistributionType

Methods

showsPrec :: Int -> ProcessingS3DataDistributionType -> ShowS #

show :: ProcessingS3DataDistributionType -> String #

showList :: [ProcessingS3DataDistributionType] -> ShowS #

NFData ProcessingS3DataDistributionType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingS3DataDistributionType

Methods

rnf :: ProcessingS3DataDistributionType -> () #

Eq ProcessingS3DataDistributionType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingS3DataDistributionType

Methods

(==) :: ProcessingS3DataDistributionType -> ProcessingS3DataDistributionType -> Bool #

(/=) :: ProcessingS3DataDistributionType -> ProcessingS3DataDistributionType -> Bool #

Ord ProcessingS3DataDistributionType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingS3DataDistributionType

Methods

compare :: ProcessingS3DataDistributionType -> ProcessingS3DataDistributionType -> Ordering #

(<) :: ProcessingS3DataDistributionType -> ProcessingS3DataDistributionType -> Bool #

(<=) :: ProcessingS3DataDistributionType -> ProcessingS3DataDistributionType -> Bool #

(>) :: ProcessingS3DataDistributionType -> ProcessingS3DataDistributionType -> Bool #

(>=) :: ProcessingS3DataDistributionType -> ProcessingS3DataDistributionType -> Bool #

max :: ProcessingS3DataDistributionType -> ProcessingS3DataDistributionType -> ProcessingS3DataDistributionType #

min :: ProcessingS3DataDistributionType -> ProcessingS3DataDistributionType -> ProcessingS3DataDistributionType #

Hashable ProcessingS3DataDistributionType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingS3DataDistributionType

Methods

hashWithSalt :: Int -> ProcessingS3DataDistributionType -> Int #

hash :: ProcessingS3DataDistributionType -> Int #

type Rep ProcessingS3DataDistributionType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingS3DataDistributionType

type Rep ProcessingS3DataDistributionType = D1 ('MetaData "ProcessingS3DataDistributionType" "Amazonka.SageMaker.Types.ProcessingS3DataDistributionType" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'True) (C1 ('MetaCons "ProcessingS3DataDistributionType'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromProcessingS3DataDistributionType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

ProcessingS3DataType

newtype ProcessingS3DataType Source #

Constructors

ProcessingS3DataType' 

Fields

Bundled Patterns

pattern ProcessingS3DataType_ManifestFile :: ProcessingS3DataType 
pattern ProcessingS3DataType_S3Prefix :: ProcessingS3DataType 

Instances

Instances details
FromJSON ProcessingS3DataType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingS3DataType

Methods

parseJSON :: Value -> Parser ProcessingS3DataType #

parseJSONList :: Value -> Parser [ProcessingS3DataType] #

FromJSONKey ProcessingS3DataType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingS3DataType

Methods

fromJSONKey :: FromJSONKeyFunction ProcessingS3DataType #

fromJSONKeyList :: FromJSONKeyFunction [ProcessingS3DataType] #

ToJSON ProcessingS3DataType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingS3DataType

Methods

toJSON :: ProcessingS3DataType -> Value #

toEncoding :: ProcessingS3DataType -> Encoding #

toJSONList :: [ProcessingS3DataType] -> Value #

toEncodingList :: [ProcessingS3DataType] -> Encoding #

ToJSONKey ProcessingS3DataType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingS3DataType

Methods

toJSONKey :: ToJSONKeyFunction ProcessingS3DataType #

toJSONKeyList :: ToJSONKeyFunction [ProcessingS3DataType] #

ToByteString ProcessingS3DataType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingS3DataType

Methods

toBS :: ProcessingS3DataType -> ByteString #

ToHeader ProcessingS3DataType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingS3DataType

Methods

toHeader :: HeaderName -> ProcessingS3DataType -> [Header] #

ToLog ProcessingS3DataType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingS3DataType

Methods

build :: ProcessingS3DataType -> ByteStringBuilder #

ToQuery ProcessingS3DataType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingS3DataType

Methods

toQuery :: ProcessingS3DataType -> QueryString #

FromText ProcessingS3DataType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingS3DataType

Methods

fromText :: Text -> Either String ProcessingS3DataType #

ToText ProcessingS3DataType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingS3DataType

Methods

toText :: ProcessingS3DataType -> Text #

FromXML ProcessingS3DataType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingS3DataType

Methods

parseXML :: [Node] -> Either String ProcessingS3DataType #

ToXML ProcessingS3DataType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingS3DataType

Methods

toXML :: ProcessingS3DataType -> XML #

Generic ProcessingS3DataType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingS3DataType

Associated Types

type Rep ProcessingS3DataType :: Type -> Type #

Methods

from :: ProcessingS3DataType -> Rep ProcessingS3DataType x #

to :: Rep ProcessingS3DataType x -> ProcessingS3DataType #

Read ProcessingS3DataType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingS3DataType

Methods

readsPrec :: Int -> ReadS ProcessingS3DataType #

readList :: ReadS [ProcessingS3DataType] #

readPrec :: ReadPrec ProcessingS3DataType #

readListPrec :: ReadPrec [ProcessingS3DataType] #

Show ProcessingS3DataType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingS3DataType

Methods

showsPrec :: Int -> ProcessingS3DataType -> ShowS #

show :: ProcessingS3DataType -> String #

showList :: [ProcessingS3DataType] -> ShowS #

NFData ProcessingS3DataType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingS3DataType

Methods

rnf :: ProcessingS3DataType -> () #

Eq ProcessingS3DataType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingS3DataType

Methods

(==) :: ProcessingS3DataType -> ProcessingS3DataType -> Bool #

(/=) :: ProcessingS3DataType -> ProcessingS3DataType -> Bool #

Ord ProcessingS3DataType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingS3DataType

Methods

compare :: ProcessingS3DataType -> ProcessingS3DataType -> Ordering #

(<) :: ProcessingS3DataType -> ProcessingS3DataType -> Bool #

(<=) :: ProcessingS3DataType -> ProcessingS3DataType -> Bool #

(>) :: ProcessingS3DataType -> ProcessingS3DataType -> Bool #

(>=) :: ProcessingS3DataType -> ProcessingS3DataType -> Bool #

max :: ProcessingS3DataType -> ProcessingS3DataType -> ProcessingS3DataType #

min :: ProcessingS3DataType -> ProcessingS3DataType -> ProcessingS3DataType #

Hashable ProcessingS3DataType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingS3DataType

Methods

hashWithSalt :: Int -> ProcessingS3DataType -> Int #

hash :: ProcessingS3DataType -> Int #

type Rep ProcessingS3DataType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingS3DataType

type Rep ProcessingS3DataType = D1 ('MetaData "ProcessingS3DataType" "Amazonka.SageMaker.Types.ProcessingS3DataType" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'True) (C1 ('MetaCons "ProcessingS3DataType'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromProcessingS3DataType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

ProcessingS3InputMode

newtype ProcessingS3InputMode Source #

Constructors

ProcessingS3InputMode' 

Fields

Bundled Patterns

pattern ProcessingS3InputMode_File :: ProcessingS3InputMode 
pattern ProcessingS3InputMode_Pipe :: ProcessingS3InputMode 

Instances

Instances details
FromJSON ProcessingS3InputMode Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingS3InputMode

Methods

parseJSON :: Value -> Parser ProcessingS3InputMode #

parseJSONList :: Value -> Parser [ProcessingS3InputMode] #

FromJSONKey ProcessingS3InputMode Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingS3InputMode

Methods

fromJSONKey :: FromJSONKeyFunction ProcessingS3InputMode #

fromJSONKeyList :: FromJSONKeyFunction [ProcessingS3InputMode] #

ToJSON ProcessingS3InputMode Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingS3InputMode

Methods

toJSON :: ProcessingS3InputMode -> Value #

toEncoding :: ProcessingS3InputMode -> Encoding #

toJSONList :: [ProcessingS3InputMode] -> Value #

toEncodingList :: [ProcessingS3InputMode] -> Encoding #

ToJSONKey ProcessingS3InputMode Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingS3InputMode

Methods

toJSONKey :: ToJSONKeyFunction ProcessingS3InputMode #

toJSONKeyList :: ToJSONKeyFunction [ProcessingS3InputMode] #

ToByteString ProcessingS3InputMode Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingS3InputMode

Methods

toBS :: ProcessingS3InputMode -> ByteString #

ToHeader ProcessingS3InputMode Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingS3InputMode

Methods

toHeader :: HeaderName -> ProcessingS3InputMode -> [Header] #

ToLog ProcessingS3InputMode Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingS3InputMode

Methods

build :: ProcessingS3InputMode -> ByteStringBuilder #

ToQuery ProcessingS3InputMode Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingS3InputMode

Methods

toQuery :: ProcessingS3InputMode -> QueryString #

FromText ProcessingS3InputMode Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingS3InputMode

Methods

fromText :: Text -> Either String ProcessingS3InputMode #

ToText ProcessingS3InputMode Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingS3InputMode

Methods

toText :: ProcessingS3InputMode -> Text #

FromXML ProcessingS3InputMode Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingS3InputMode

Methods

parseXML :: [Node] -> Either String ProcessingS3InputMode #

ToXML ProcessingS3InputMode Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingS3InputMode

Methods

toXML :: ProcessingS3InputMode -> XML #

Generic ProcessingS3InputMode Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingS3InputMode

Associated Types

type Rep ProcessingS3InputMode :: Type -> Type #

Methods

from :: ProcessingS3InputMode -> Rep ProcessingS3InputMode x #

to :: Rep ProcessingS3InputMode x -> ProcessingS3InputMode #

Read ProcessingS3InputMode Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingS3InputMode

Methods

readsPrec :: Int -> ReadS ProcessingS3InputMode #

readList :: ReadS [ProcessingS3InputMode] #

readPrec :: ReadPrec ProcessingS3InputMode #

readListPrec :: ReadPrec [ProcessingS3InputMode] #

Show ProcessingS3InputMode Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingS3InputMode

Methods

showsPrec :: Int -> ProcessingS3InputMode -> ShowS #

show :: ProcessingS3InputMode -> String #

showList :: [ProcessingS3InputMode] -> ShowS #

NFData ProcessingS3InputMode Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingS3InputMode

Methods

rnf :: ProcessingS3InputMode -> () #

Eq ProcessingS3InputMode Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingS3InputMode

Methods

(==) :: ProcessingS3InputMode -> ProcessingS3InputMode -> Bool #

(/=) :: ProcessingS3InputMode -> ProcessingS3InputMode -> Bool #

Ord ProcessingS3InputMode Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingS3InputMode

Methods

compare :: ProcessingS3InputMode -> ProcessingS3InputMode -> Ordering #

(<) :: ProcessingS3InputMode -> ProcessingS3InputMode -> Bool #

(<=) :: ProcessingS3InputMode -> ProcessingS3InputMode -> Bool #

(>) :: ProcessingS3InputMode -> ProcessingS3InputMode -> Bool #

(>=) :: ProcessingS3InputMode -> ProcessingS3InputMode -> Bool #

max :: ProcessingS3InputMode -> ProcessingS3InputMode -> ProcessingS3InputMode #

min :: ProcessingS3InputMode -> ProcessingS3InputMode -> ProcessingS3InputMode #

Hashable ProcessingS3InputMode Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingS3InputMode

Methods

hashWithSalt :: Int -> ProcessingS3InputMode -> Int #

hash :: ProcessingS3InputMode -> Int #

type Rep ProcessingS3InputMode Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingS3InputMode

type Rep ProcessingS3InputMode = D1 ('MetaData "ProcessingS3InputMode" "Amazonka.SageMaker.Types.ProcessingS3InputMode" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'True) (C1 ('MetaCons "ProcessingS3InputMode'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromProcessingS3InputMode") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

ProcessingS3UploadMode

newtype ProcessingS3UploadMode Source #

Constructors

ProcessingS3UploadMode' 

Fields

Bundled Patterns

pattern ProcessingS3UploadMode_Continuous :: ProcessingS3UploadMode 
pattern ProcessingS3UploadMode_EndOfJob :: ProcessingS3UploadMode 

Instances

Instances details
FromJSON ProcessingS3UploadMode Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingS3UploadMode

Methods

parseJSON :: Value -> Parser ProcessingS3UploadMode #

parseJSONList :: Value -> Parser [ProcessingS3UploadMode] #

FromJSONKey ProcessingS3UploadMode Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingS3UploadMode

Methods

fromJSONKey :: FromJSONKeyFunction ProcessingS3UploadMode #

fromJSONKeyList :: FromJSONKeyFunction [ProcessingS3UploadMode] #

ToJSON ProcessingS3UploadMode Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingS3UploadMode

Methods

toJSON :: ProcessingS3UploadMode -> Value #

toEncoding :: ProcessingS3UploadMode -> Encoding #

toJSONList :: [ProcessingS3UploadMode] -> Value #

toEncodingList :: [ProcessingS3UploadMode] -> Encoding #

ToJSONKey ProcessingS3UploadMode Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingS3UploadMode

Methods

toJSONKey :: ToJSONKeyFunction ProcessingS3UploadMode #

toJSONKeyList :: ToJSONKeyFunction [ProcessingS3UploadMode] #

ToByteString ProcessingS3UploadMode Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingS3UploadMode

Methods

toBS :: ProcessingS3UploadMode -> ByteString #

ToHeader ProcessingS3UploadMode Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingS3UploadMode

Methods

toHeader :: HeaderName -> ProcessingS3UploadMode -> [Header] #

ToLog ProcessingS3UploadMode Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingS3UploadMode

Methods

build :: ProcessingS3UploadMode -> ByteStringBuilder #

ToQuery ProcessingS3UploadMode Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingS3UploadMode

Methods

toQuery :: ProcessingS3UploadMode -> QueryString #

FromText ProcessingS3UploadMode Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingS3UploadMode

Methods

fromText :: Text -> Either String ProcessingS3UploadMode #

ToText ProcessingS3UploadMode Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingS3UploadMode

Methods

toText :: ProcessingS3UploadMode -> Text #

FromXML ProcessingS3UploadMode Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingS3UploadMode

Methods

parseXML :: [Node] -> Either String ProcessingS3UploadMode #

ToXML ProcessingS3UploadMode Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingS3UploadMode

Methods

toXML :: ProcessingS3UploadMode -> XML #

Generic ProcessingS3UploadMode Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingS3UploadMode

Associated Types

type Rep ProcessingS3UploadMode :: Type -> Type #

Methods

from :: ProcessingS3UploadMode -> Rep ProcessingS3UploadMode x #

to :: Rep ProcessingS3UploadMode x -> ProcessingS3UploadMode #

Read ProcessingS3UploadMode Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingS3UploadMode

Methods

readsPrec :: Int -> ReadS ProcessingS3UploadMode #

readList :: ReadS [ProcessingS3UploadMode] #

readPrec :: ReadPrec ProcessingS3UploadMode #

readListPrec :: ReadPrec [ProcessingS3UploadMode] #

Show ProcessingS3UploadMode Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingS3UploadMode

Methods

showsPrec :: Int -> ProcessingS3UploadMode -> ShowS #

show :: ProcessingS3UploadMode -> String #

showList :: [ProcessingS3UploadMode] -> ShowS #

NFData ProcessingS3UploadMode Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingS3UploadMode

Methods

rnf :: ProcessingS3UploadMode -> () #

Eq ProcessingS3UploadMode Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingS3UploadMode

Methods

(==) :: ProcessingS3UploadMode -> ProcessingS3UploadMode -> Bool #

(/=) :: ProcessingS3UploadMode -> ProcessingS3UploadMode -> Bool #

Ord ProcessingS3UploadMode Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingS3UploadMode

Methods

compare :: ProcessingS3UploadMode -> ProcessingS3UploadMode -> Ordering #

(<) :: ProcessingS3UploadMode -> ProcessingS3UploadMode -> Bool #

(<=) :: ProcessingS3UploadMode -> ProcessingS3UploadMode -> Bool #

(>) :: ProcessingS3UploadMode -> ProcessingS3UploadMode -> Bool #

(>=) :: ProcessingS3UploadMode -> ProcessingS3UploadMode -> Bool #

max :: ProcessingS3UploadMode -> ProcessingS3UploadMode -> ProcessingS3UploadMode #

min :: ProcessingS3UploadMode -> ProcessingS3UploadMode -> ProcessingS3UploadMode #

Hashable ProcessingS3UploadMode Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingS3UploadMode

Methods

hashWithSalt :: Int -> ProcessingS3UploadMode -> Int #

hash :: ProcessingS3UploadMode -> Int #

type Rep ProcessingS3UploadMode Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingS3UploadMode

type Rep ProcessingS3UploadMode = D1 ('MetaData "ProcessingS3UploadMode" "Amazonka.SageMaker.Types.ProcessingS3UploadMode" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'True) (C1 ('MetaCons "ProcessingS3UploadMode'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromProcessingS3UploadMode") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

Processor

newtype Processor Source #

Constructors

Processor' 

Fields

Bundled Patterns

pattern Processor_CPU :: Processor 
pattern Processor_GPU :: Processor 

Instances

Instances details
FromJSON Processor Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Processor

Methods

parseJSON :: Value -> Parser Processor #

parseJSONList :: Value -> Parser [Processor] #

FromJSONKey Processor Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Processor

Methods

fromJSONKey :: FromJSONKeyFunction Processor #

fromJSONKeyList :: FromJSONKeyFunction [Processor] #

ToJSON Processor Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Processor

Methods

toJSON :: Processor -> Value #

toEncoding :: Processor -> Encoding #

toJSONList :: [Processor] -> Value #

toEncodingList :: [Processor] -> Encoding #

ToJSONKey Processor Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Processor

Methods

toJSONKey :: ToJSONKeyFunction Processor #

toJSONKeyList :: ToJSONKeyFunction [Processor] #

ToByteString Processor Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Processor

Methods

toBS :: Processor -> ByteString #

ToHeader Processor Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Processor

Methods

toHeader :: HeaderName -> Processor -> [Header] #

ToLog Processor Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Processor

Methods

build :: Processor -> ByteStringBuilder #

ToQuery Processor Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Processor

Methods

toQuery :: Processor -> QueryString #

FromText Processor Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Processor

Methods

fromText :: Text -> Either String Processor #

ToText Processor Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Processor

Methods

toText :: Processor -> Text #

FromXML Processor Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Processor

Methods

parseXML :: [Node] -> Either String Processor #

ToXML Processor Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Processor

Methods

toXML :: Processor -> XML #

Generic Processor Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Processor

Associated Types

type Rep Processor :: Type -> Type #

Methods

from :: Processor -> Rep Processor x #

to :: Rep Processor x -> Processor #

Read Processor Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Processor

Methods

readsPrec :: Int -> ReadS Processor #

readList :: ReadS [Processor] #

readPrec :: ReadPrec Processor #

readListPrec :: ReadPrec [Processor] #

Show Processor Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Processor

Methods

showsPrec :: Int -> Processor -> ShowS #

show :: Processor -> String #

showList :: [Processor] -> ShowS #

NFData Processor Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Processor

Methods

rnf :: Processor -> () #

Eq Processor Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Processor

Methods

(==) :: Processor -> Processor -> Bool #

(/=) :: Processor -> Processor -> Bool #

Ord Processor Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Processor

Methods

compare :: Processor -> Processor -> Ordering #

(<) :: Processor -> Processor -> Bool #

(<=) :: Processor -> Processor -> Bool #

(>) :: Processor -> Processor -> Bool #

(>=) :: Processor -> Processor -> Bool #

max :: Processor -> Processor -> Processor #

min :: Processor -> Processor -> Processor #

Hashable Processor Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Processor

Methods

hashWithSalt :: Int -> Processor -> Int #

hash :: Processor -> Int #

type Rep Processor Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Processor

type Rep Processor = D1 ('MetaData "Processor" "Amazonka.SageMaker.Types.Processor" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'True) (C1 ('MetaCons "Processor'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromProcessor") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

ProductionVariantAcceleratorType

newtype ProductionVariantAcceleratorType Source #

Constructors

ProductionVariantAcceleratorType' 

Fields

Bundled Patterns

pattern ProductionVariantAcceleratorType_Ml_eia1_large :: ProductionVariantAcceleratorType 
pattern ProductionVariantAcceleratorType_Ml_eia1_medium :: ProductionVariantAcceleratorType 
pattern ProductionVariantAcceleratorType_Ml_eia1_xlarge :: ProductionVariantAcceleratorType 
pattern ProductionVariantAcceleratorType_Ml_eia2_large :: ProductionVariantAcceleratorType 
pattern ProductionVariantAcceleratorType_Ml_eia2_medium :: ProductionVariantAcceleratorType 
pattern ProductionVariantAcceleratorType_Ml_eia2_xlarge :: ProductionVariantAcceleratorType 

Instances

Instances details
FromJSON ProductionVariantAcceleratorType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProductionVariantAcceleratorType

Methods

parseJSON :: Value -> Parser ProductionVariantAcceleratorType #

parseJSONList :: Value -> Parser [ProductionVariantAcceleratorType] #

FromJSONKey ProductionVariantAcceleratorType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProductionVariantAcceleratorType

Methods

fromJSONKey :: FromJSONKeyFunction ProductionVariantAcceleratorType #

fromJSONKeyList :: FromJSONKeyFunction [ProductionVariantAcceleratorType] #

ToJSON ProductionVariantAcceleratorType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProductionVariantAcceleratorType

Methods

toJSON :: ProductionVariantAcceleratorType -> Value #

toEncoding :: ProductionVariantAcceleratorType -> Encoding #

toJSONList :: [ProductionVariantAcceleratorType] -> Value #

toEncodingList :: [ProductionVariantAcceleratorType] -> Encoding #

ToJSONKey ProductionVariantAcceleratorType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProductionVariantAcceleratorType

Methods

toJSONKey :: ToJSONKeyFunction ProductionVariantAcceleratorType #

toJSONKeyList :: ToJSONKeyFunction [ProductionVariantAcceleratorType] #

ToByteString ProductionVariantAcceleratorType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProductionVariantAcceleratorType

Methods

toBS :: ProductionVariantAcceleratorType -> ByteString #

ToHeader ProductionVariantAcceleratorType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProductionVariantAcceleratorType

Methods

toHeader :: HeaderName -> ProductionVariantAcceleratorType -> [Header] #

ToLog ProductionVariantAcceleratorType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProductionVariantAcceleratorType

Methods

build :: ProductionVariantAcceleratorType -> ByteStringBuilder #

ToQuery ProductionVariantAcceleratorType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProductionVariantAcceleratorType

Methods

toQuery :: ProductionVariantAcceleratorType -> QueryString #

FromText ProductionVariantAcceleratorType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProductionVariantAcceleratorType

Methods

fromText :: Text -> Either String ProductionVariantAcceleratorType #

ToText ProductionVariantAcceleratorType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProductionVariantAcceleratorType

Methods

toText :: ProductionVariantAcceleratorType -> Text #

FromXML ProductionVariantAcceleratorType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProductionVariantAcceleratorType

Methods

parseXML :: [Node] -> Either String ProductionVariantAcceleratorType #

ToXML ProductionVariantAcceleratorType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProductionVariantAcceleratorType

Methods

toXML :: ProductionVariantAcceleratorType -> XML #

Generic ProductionVariantAcceleratorType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProductionVariantAcceleratorType

Associated Types

type Rep ProductionVariantAcceleratorType :: Type -> Type #

Methods

from :: ProductionVariantAcceleratorType -> Rep ProductionVariantAcceleratorType x #

to :: Rep ProductionVariantAcceleratorType x -> ProductionVariantAcceleratorType #

Read ProductionVariantAcceleratorType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProductionVariantAcceleratorType

Methods

readsPrec :: Int -> ReadS ProductionVariantAcceleratorType #

readList :: ReadS [ProductionVariantAcceleratorType] #

readPrec :: ReadPrec ProductionVariantAcceleratorType #

readListPrec :: ReadPrec [ProductionVariantAcceleratorType] #

Show ProductionVariantAcceleratorType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProductionVariantAcceleratorType

Methods

showsPrec :: Int -> ProductionVariantAcceleratorType -> ShowS #

show :: ProductionVariantAcceleratorType -> String #

showList :: [ProductionVariantAcceleratorType] -> ShowS #

NFData ProductionVariantAcceleratorType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProductionVariantAcceleratorType

Methods

rnf :: ProductionVariantAcceleratorType -> () #

Eq ProductionVariantAcceleratorType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProductionVariantAcceleratorType

Methods

(==) :: ProductionVariantAcceleratorType -> ProductionVariantAcceleratorType -> Bool #

(/=) :: ProductionVariantAcceleratorType -> ProductionVariantAcceleratorType -> Bool #

Ord ProductionVariantAcceleratorType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProductionVariantAcceleratorType

Methods

compare :: ProductionVariantAcceleratorType -> ProductionVariantAcceleratorType -> Ordering #

(<) :: ProductionVariantAcceleratorType -> ProductionVariantAcceleratorType -> Bool #

(<=) :: ProductionVariantAcceleratorType -> ProductionVariantAcceleratorType -> Bool #

(>) :: ProductionVariantAcceleratorType -> ProductionVariantAcceleratorType -> Bool #

(>=) :: ProductionVariantAcceleratorType -> ProductionVariantAcceleratorType -> Bool #

max :: ProductionVariantAcceleratorType -> ProductionVariantAcceleratorType -> ProductionVariantAcceleratorType #

min :: ProductionVariantAcceleratorType -> ProductionVariantAcceleratorType -> ProductionVariantAcceleratorType #

Hashable ProductionVariantAcceleratorType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProductionVariantAcceleratorType

Methods

hashWithSalt :: Int -> ProductionVariantAcceleratorType -> Int #

hash :: ProductionVariantAcceleratorType -> Int #

type Rep ProductionVariantAcceleratorType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProductionVariantAcceleratorType

type Rep ProductionVariantAcceleratorType = D1 ('MetaData "ProductionVariantAcceleratorType" "Amazonka.SageMaker.Types.ProductionVariantAcceleratorType" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'True) (C1 ('MetaCons "ProductionVariantAcceleratorType'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromProductionVariantAcceleratorType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

ProductionVariantInstanceType

newtype ProductionVariantInstanceType Source #

Constructors

ProductionVariantInstanceType' 

Fields

Bundled Patterns

pattern ProductionVariantInstanceType_Ml_c4_2xlarge :: ProductionVariantInstanceType 
pattern ProductionVariantInstanceType_Ml_c4_4xlarge :: ProductionVariantInstanceType 
pattern ProductionVariantInstanceType_Ml_c4_8xlarge :: ProductionVariantInstanceType 
pattern ProductionVariantInstanceType_Ml_c4_large :: ProductionVariantInstanceType 
pattern ProductionVariantInstanceType_Ml_c4_xlarge :: ProductionVariantInstanceType 
pattern ProductionVariantInstanceType_Ml_c5_18xlarge :: ProductionVariantInstanceType 
pattern ProductionVariantInstanceType_Ml_c5_2xlarge :: ProductionVariantInstanceType 
pattern ProductionVariantInstanceType_Ml_c5_4xlarge :: ProductionVariantInstanceType 
pattern ProductionVariantInstanceType_Ml_c5_9xlarge :: ProductionVariantInstanceType 
pattern ProductionVariantInstanceType_Ml_c5_large :: ProductionVariantInstanceType 
pattern ProductionVariantInstanceType_Ml_c5_xlarge :: ProductionVariantInstanceType 
pattern ProductionVariantInstanceType_Ml_c5d_18xlarge :: ProductionVariantInstanceType 
pattern ProductionVariantInstanceType_Ml_c5d_2xlarge :: ProductionVariantInstanceType 
pattern ProductionVariantInstanceType_Ml_c5d_4xlarge :: ProductionVariantInstanceType 
pattern ProductionVariantInstanceType_Ml_c5d_9xlarge :: ProductionVariantInstanceType 
pattern ProductionVariantInstanceType_Ml_c5d_large :: ProductionVariantInstanceType 
pattern ProductionVariantInstanceType_Ml_c5d_xlarge :: ProductionVariantInstanceType 
pattern ProductionVariantInstanceType_Ml_c6g_12xlarge :: ProductionVariantInstanceType 
pattern ProductionVariantInstanceType_Ml_c6g_16xlarge :: ProductionVariantInstanceType 
pattern ProductionVariantInstanceType_Ml_c6g_2xlarge :: ProductionVariantInstanceType 
pattern ProductionVariantInstanceType_Ml_c6g_4xlarge :: ProductionVariantInstanceType 
pattern ProductionVariantInstanceType_Ml_c6g_8xlarge :: ProductionVariantInstanceType 
pattern ProductionVariantInstanceType_Ml_c6g_large :: ProductionVariantInstanceType 
pattern ProductionVariantInstanceType_Ml_c6g_xlarge :: ProductionVariantInstanceType 
pattern ProductionVariantInstanceType_Ml_c6gd_12xlarge :: ProductionVariantInstanceType 
pattern ProductionVariantInstanceType_Ml_c6gd_16xlarge :: ProductionVariantInstanceType 
pattern ProductionVariantInstanceType_Ml_c6gd_2xlarge :: ProductionVariantInstanceType 
pattern ProductionVariantInstanceType_Ml_c6gd_4xlarge :: ProductionVariantInstanceType 
pattern ProductionVariantInstanceType_Ml_c6gd_8xlarge :: ProductionVariantInstanceType 
pattern ProductionVariantInstanceType_Ml_c6gd_large :: ProductionVariantInstanceType 
pattern ProductionVariantInstanceType_Ml_c6gd_xlarge :: ProductionVariantInstanceType 
pattern ProductionVariantInstanceType_Ml_c6gn_12xlarge :: ProductionVariantInstanceType 
pattern ProductionVariantInstanceType_Ml_c6gn_16xlarge :: ProductionVariantInstanceType 
pattern ProductionVariantInstanceType_Ml_c6gn_2xlarge :: ProductionVariantInstanceType 
pattern ProductionVariantInstanceType_Ml_c6gn_4xlarge :: ProductionVariantInstanceType 
pattern ProductionVariantInstanceType_Ml_c6gn_8xlarge :: ProductionVariantInstanceType 
pattern ProductionVariantInstanceType_Ml_c6gn_large :: ProductionVariantInstanceType 
pattern ProductionVariantInstanceType_Ml_c6gn_xlarge :: ProductionVariantInstanceType 
pattern ProductionVariantInstanceType_Ml_c6i_12xlarge :: ProductionVariantInstanceType 
pattern ProductionVariantInstanceType_Ml_c6i_16xlarge :: ProductionVariantInstanceType 
pattern ProductionVariantInstanceType_Ml_c6i_24xlarge :: ProductionVariantInstanceType 
pattern ProductionVariantInstanceType_Ml_c6i_2xlarge :: ProductionVariantInstanceType 
pattern ProductionVariantInstanceType_Ml_c6i_32xlarge :: ProductionVariantInstanceType 
pattern ProductionVariantInstanceType_Ml_c6i_4xlarge :: ProductionVariantInstanceType 
pattern ProductionVariantInstanceType_Ml_c6i_8xlarge :: ProductionVariantInstanceType 
pattern ProductionVariantInstanceType_Ml_c6i_large :: ProductionVariantInstanceType 
pattern ProductionVariantInstanceType_Ml_c6i_xlarge :: ProductionVariantInstanceType 
pattern ProductionVariantInstanceType_Ml_c7g_12xlarge :: ProductionVariantInstanceType 
pattern ProductionVariantInstanceType_Ml_c7g_16xlarge :: ProductionVariantInstanceType 
pattern ProductionVariantInstanceType_Ml_c7g_2xlarge :: ProductionVariantInstanceType 
pattern ProductionVariantInstanceType_Ml_c7g_4xlarge :: ProductionVariantInstanceType 
pattern ProductionVariantInstanceType_Ml_c7g_8xlarge :: ProductionVariantInstanceType 
pattern ProductionVariantInstanceType_Ml_c7g_large :: ProductionVariantInstanceType 
pattern ProductionVariantInstanceType_Ml_c7g_xlarge :: ProductionVariantInstanceType 
pattern ProductionVariantInstanceType_Ml_g4dn_12xlarge :: ProductionVariantInstanceType 
pattern ProductionVariantInstanceType_Ml_g4dn_16xlarge :: ProductionVariantInstanceType 
pattern ProductionVariantInstanceType_Ml_g4dn_2xlarge :: ProductionVariantInstanceType 
pattern ProductionVariantInstanceType_Ml_g4dn_4xlarge :: ProductionVariantInstanceType 
pattern ProductionVariantInstanceType_Ml_g4dn_8xlarge :: ProductionVariantInstanceType 
pattern ProductionVariantInstanceType_Ml_g4dn_xlarge :: ProductionVariantInstanceType 
pattern ProductionVariantInstanceType_Ml_g5_12xlarge :: ProductionVariantInstanceType 
pattern ProductionVariantInstanceType_Ml_g5_16xlarge :: ProductionVariantInstanceType 
pattern ProductionVariantInstanceType_Ml_g5_24xlarge :: ProductionVariantInstanceType 
pattern ProductionVariantInstanceType_Ml_g5_2xlarge :: ProductionVariantInstanceType 
pattern ProductionVariantInstanceType_Ml_g5_48xlarge :: ProductionVariantInstanceType 
pattern ProductionVariantInstanceType_Ml_g5_4xlarge :: ProductionVariantInstanceType 
pattern ProductionVariantInstanceType_Ml_g5_8xlarge :: ProductionVariantInstanceType 
pattern ProductionVariantInstanceType_Ml_g5_xlarge :: ProductionVariantInstanceType 
pattern ProductionVariantInstanceType_Ml_inf1_24xlarge :: ProductionVariantInstanceType 
pattern ProductionVariantInstanceType_Ml_inf1_2xlarge :: ProductionVariantInstanceType 
pattern ProductionVariantInstanceType_Ml_inf1_6xlarge :: ProductionVariantInstanceType 
pattern ProductionVariantInstanceType_Ml_inf1_xlarge :: ProductionVariantInstanceType 
pattern ProductionVariantInstanceType_Ml_m4_10xlarge :: ProductionVariantInstanceType 
pattern ProductionVariantInstanceType_Ml_m4_16xlarge :: ProductionVariantInstanceType 
pattern ProductionVariantInstanceType_Ml_m4_2xlarge :: ProductionVariantInstanceType 
pattern ProductionVariantInstanceType_Ml_m4_4xlarge :: ProductionVariantInstanceType 
pattern ProductionVariantInstanceType_Ml_m4_xlarge :: ProductionVariantInstanceType 
pattern ProductionVariantInstanceType_Ml_m5_12xlarge :: ProductionVariantInstanceType 
pattern ProductionVariantInstanceType_Ml_m5_24xlarge :: ProductionVariantInstanceType 
pattern ProductionVariantInstanceType_Ml_m5_2xlarge :: ProductionVariantInstanceType 
pattern ProductionVariantInstanceType_Ml_m5_4xlarge :: ProductionVariantInstanceType 
pattern ProductionVariantInstanceType_Ml_m5_large :: ProductionVariantInstanceType 
pattern ProductionVariantInstanceType_Ml_m5_xlarge :: ProductionVariantInstanceType 
pattern ProductionVariantInstanceType_Ml_m5d_12xlarge :: ProductionVariantInstanceType 
pattern ProductionVariantInstanceType_Ml_m5d_24xlarge :: ProductionVariantInstanceType 
pattern ProductionVariantInstanceType_Ml_m5d_2xlarge :: ProductionVariantInstanceType 
pattern ProductionVariantInstanceType_Ml_m5d_4xlarge :: ProductionVariantInstanceType 
pattern ProductionVariantInstanceType_Ml_m5d_large :: ProductionVariantInstanceType 
pattern ProductionVariantInstanceType_Ml_m5d_xlarge :: ProductionVariantInstanceType 
pattern ProductionVariantInstanceType_Ml_m6g_12xlarge :: ProductionVariantInstanceType 
pattern ProductionVariantInstanceType_Ml_m6g_16xlarge :: ProductionVariantInstanceType 
pattern ProductionVariantInstanceType_Ml_m6g_2xlarge :: ProductionVariantInstanceType 
pattern ProductionVariantInstanceType_Ml_m6g_4xlarge :: ProductionVariantInstanceType 
pattern ProductionVariantInstanceType_Ml_m6g_8xlarge :: ProductionVariantInstanceType 
pattern ProductionVariantInstanceType_Ml_m6g_large :: ProductionVariantInstanceType 
pattern ProductionVariantInstanceType_Ml_m6g_xlarge :: ProductionVariantInstanceType 
pattern ProductionVariantInstanceType_Ml_m6gd_12xlarge :: ProductionVariantInstanceType 
pattern ProductionVariantInstanceType_Ml_m6gd_16xlarge :: ProductionVariantInstanceType 
pattern ProductionVariantInstanceType_Ml_m6gd_2xlarge :: ProductionVariantInstanceType 
pattern ProductionVariantInstanceType_Ml_m6gd_4xlarge :: ProductionVariantInstanceType 
pattern ProductionVariantInstanceType_Ml_m6gd_8xlarge :: ProductionVariantInstanceType 
pattern ProductionVariantInstanceType_Ml_m6gd_large :: ProductionVariantInstanceType 
pattern ProductionVariantInstanceType_Ml_m6gd_xlarge :: ProductionVariantInstanceType 
pattern ProductionVariantInstanceType_Ml_p2_16xlarge :: ProductionVariantInstanceType 
pattern ProductionVariantInstanceType_Ml_p2_8xlarge :: ProductionVariantInstanceType 
pattern ProductionVariantInstanceType_Ml_p2_xlarge :: ProductionVariantInstanceType 
pattern ProductionVariantInstanceType_Ml_p3_16xlarge :: ProductionVariantInstanceType 
pattern ProductionVariantInstanceType_Ml_p3_2xlarge :: ProductionVariantInstanceType 
pattern ProductionVariantInstanceType_Ml_p3_8xlarge :: ProductionVariantInstanceType 
pattern ProductionVariantInstanceType_Ml_p4d_24xlarge :: ProductionVariantInstanceType 
pattern ProductionVariantInstanceType_Ml_r5_12xlarge :: ProductionVariantInstanceType 
pattern ProductionVariantInstanceType_Ml_r5_24xlarge :: ProductionVariantInstanceType 
pattern ProductionVariantInstanceType_Ml_r5_2xlarge :: ProductionVariantInstanceType 
pattern ProductionVariantInstanceType_Ml_r5_4xlarge :: ProductionVariantInstanceType 
pattern ProductionVariantInstanceType_Ml_r5_large :: ProductionVariantInstanceType 
pattern ProductionVariantInstanceType_Ml_r5_xlarge :: ProductionVariantInstanceType 
pattern ProductionVariantInstanceType_Ml_r5d_12xlarge :: ProductionVariantInstanceType 
pattern ProductionVariantInstanceType_Ml_r5d_24xlarge :: ProductionVariantInstanceType 
pattern ProductionVariantInstanceType_Ml_r5d_2xlarge :: ProductionVariantInstanceType 
pattern ProductionVariantInstanceType_Ml_r5d_4xlarge :: ProductionVariantInstanceType 
pattern ProductionVariantInstanceType_Ml_r5d_large :: ProductionVariantInstanceType 
pattern ProductionVariantInstanceType_Ml_r5d_xlarge :: ProductionVariantInstanceType 
pattern ProductionVariantInstanceType_Ml_r6g_12xlarge :: ProductionVariantInstanceType 
pattern ProductionVariantInstanceType_Ml_r6g_16xlarge :: ProductionVariantInstanceType 
pattern ProductionVariantInstanceType_Ml_r6g_2xlarge :: ProductionVariantInstanceType 
pattern ProductionVariantInstanceType_Ml_r6g_4xlarge :: ProductionVariantInstanceType 
pattern ProductionVariantInstanceType_Ml_r6g_8xlarge :: ProductionVariantInstanceType 
pattern ProductionVariantInstanceType_Ml_r6g_large :: ProductionVariantInstanceType 
pattern ProductionVariantInstanceType_Ml_r6g_xlarge :: ProductionVariantInstanceType 
pattern ProductionVariantInstanceType_Ml_r6gd_12xlarge :: ProductionVariantInstanceType 
pattern ProductionVariantInstanceType_Ml_r6gd_16xlarge :: ProductionVariantInstanceType 
pattern ProductionVariantInstanceType_Ml_r6gd_2xlarge :: ProductionVariantInstanceType 
pattern ProductionVariantInstanceType_Ml_r6gd_4xlarge :: ProductionVariantInstanceType 
pattern ProductionVariantInstanceType_Ml_r6gd_8xlarge :: ProductionVariantInstanceType 
pattern ProductionVariantInstanceType_Ml_r6gd_large :: ProductionVariantInstanceType 
pattern ProductionVariantInstanceType_Ml_r6gd_xlarge :: ProductionVariantInstanceType 
pattern ProductionVariantInstanceType_Ml_t2_2xlarge :: ProductionVariantInstanceType 
pattern ProductionVariantInstanceType_Ml_t2_large :: ProductionVariantInstanceType 
pattern ProductionVariantInstanceType_Ml_t2_medium :: ProductionVariantInstanceType 
pattern ProductionVariantInstanceType_Ml_t2_xlarge :: ProductionVariantInstanceType 

Instances

Instances details
FromJSON ProductionVariantInstanceType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProductionVariantInstanceType

Methods

parseJSON :: Value -> Parser ProductionVariantInstanceType #

parseJSONList :: Value -> Parser [ProductionVariantInstanceType] #

FromJSONKey ProductionVariantInstanceType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProductionVariantInstanceType

Methods

fromJSONKey :: FromJSONKeyFunction ProductionVariantInstanceType #

fromJSONKeyList :: FromJSONKeyFunction [ProductionVariantInstanceType] #

ToJSON ProductionVariantInstanceType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProductionVariantInstanceType

Methods

toJSON :: ProductionVariantInstanceType -> Value #

toEncoding :: ProductionVariantInstanceType -> Encoding #

toJSONList :: [ProductionVariantInstanceType] -> Value #

toEncodingList :: [ProductionVariantInstanceType] -> Encoding #

ToJSONKey ProductionVariantInstanceType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProductionVariantInstanceType

Methods

toJSONKey :: ToJSONKeyFunction ProductionVariantInstanceType #

toJSONKeyList :: ToJSONKeyFunction [ProductionVariantInstanceType] #

ToByteString ProductionVariantInstanceType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProductionVariantInstanceType

Methods

toBS :: ProductionVariantInstanceType -> ByteString #

ToHeader ProductionVariantInstanceType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProductionVariantInstanceType

Methods

toHeader :: HeaderName -> ProductionVariantInstanceType -> [Header] #

ToLog ProductionVariantInstanceType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProductionVariantInstanceType

Methods

build :: ProductionVariantInstanceType -> ByteStringBuilder #

ToQuery ProductionVariantInstanceType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProductionVariantInstanceType

Methods

toQuery :: ProductionVariantInstanceType -> QueryString #

FromText ProductionVariantInstanceType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProductionVariantInstanceType

Methods

fromText :: Text -> Either String ProductionVariantInstanceType #

ToText ProductionVariantInstanceType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProductionVariantInstanceType

Methods

toText :: ProductionVariantInstanceType -> Text #

FromXML ProductionVariantInstanceType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProductionVariantInstanceType

Methods

parseXML :: [Node] -> Either String ProductionVariantInstanceType #

ToXML ProductionVariantInstanceType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProductionVariantInstanceType

Methods

toXML :: ProductionVariantInstanceType -> XML #

Generic ProductionVariantInstanceType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProductionVariantInstanceType

Associated Types

type Rep ProductionVariantInstanceType :: Type -> Type #

Methods

from :: ProductionVariantInstanceType -> Rep ProductionVariantInstanceType x #

to :: Rep ProductionVariantInstanceType x -> ProductionVariantInstanceType #

Read ProductionVariantInstanceType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProductionVariantInstanceType

Methods

readsPrec :: Int -> ReadS ProductionVariantInstanceType #

readList :: ReadS [ProductionVariantInstanceType] #

readPrec :: ReadPrec ProductionVariantInstanceType #

readListPrec :: ReadPrec [ProductionVariantInstanceType] #

Show ProductionVariantInstanceType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProductionVariantInstanceType

Methods

showsPrec :: Int -> ProductionVariantInstanceType -> ShowS #

show :: ProductionVariantInstanceType -> String #

showList :: [ProductionVariantInstanceType] -> ShowS #

NFData ProductionVariantInstanceType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProductionVariantInstanceType

Methods

rnf :: ProductionVariantInstanceType -> () #

Eq ProductionVariantInstanceType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProductionVariantInstanceType

Methods

(==) :: ProductionVariantInstanceType -> ProductionVariantInstanceType -> Bool #

(/=) :: ProductionVariantInstanceType -> ProductionVariantInstanceType -> Bool #

Ord ProductionVariantInstanceType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProductionVariantInstanceType

Methods

compare :: ProductionVariantInstanceType -> ProductionVariantInstanceType -> Ordering #

(<) :: ProductionVariantInstanceType -> ProductionVariantInstanceType -> Bool #

(<=) :: ProductionVariantInstanceType -> ProductionVariantInstanceType -> Bool #

(>) :: ProductionVariantInstanceType -> ProductionVariantInstanceType -> Bool #

(>=) :: ProductionVariantInstanceType -> ProductionVariantInstanceType -> Bool #

max :: ProductionVariantInstanceType -> ProductionVariantInstanceType -> ProductionVariantInstanceType #

min :: ProductionVariantInstanceType -> ProductionVariantInstanceType -> ProductionVariantInstanceType #

Hashable ProductionVariantInstanceType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProductionVariantInstanceType

Methods

hashWithSalt :: Int -> ProductionVariantInstanceType -> Int #

hash :: ProductionVariantInstanceType -> Int #

type Rep ProductionVariantInstanceType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProductionVariantInstanceType

type Rep ProductionVariantInstanceType = D1 ('MetaData "ProductionVariantInstanceType" "Amazonka.SageMaker.Types.ProductionVariantInstanceType" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'True) (C1 ('MetaCons "ProductionVariantInstanceType'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromProductionVariantInstanceType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

ProfilingStatus

newtype ProfilingStatus Source #

Constructors

ProfilingStatus' 

Fields

Bundled Patterns

pattern ProfilingStatus_Disabled :: ProfilingStatus 
pattern ProfilingStatus_Enabled :: ProfilingStatus 

Instances

Instances details
FromJSON ProfilingStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProfilingStatus

Methods

parseJSON :: Value -> Parser ProfilingStatus #

parseJSONList :: Value -> Parser [ProfilingStatus] #

FromJSONKey ProfilingStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProfilingStatus

Methods

fromJSONKey :: FromJSONKeyFunction ProfilingStatus #

fromJSONKeyList :: FromJSONKeyFunction [ProfilingStatus] #

ToJSON ProfilingStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProfilingStatus

Methods

toJSON :: ProfilingStatus -> Value #

toEncoding :: ProfilingStatus -> Encoding #

toJSONList :: [ProfilingStatus] -> Value #

toEncodingList :: [ProfilingStatus] -> Encoding #

ToJSONKey ProfilingStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProfilingStatus

Methods

toJSONKey :: ToJSONKeyFunction ProfilingStatus #

toJSONKeyList :: ToJSONKeyFunction [ProfilingStatus] #

ToByteString ProfilingStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProfilingStatus

Methods

toBS :: ProfilingStatus -> ByteString #

ToHeader ProfilingStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProfilingStatus

Methods

toHeader :: HeaderName -> ProfilingStatus -> [Header] #

ToLog ProfilingStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProfilingStatus

Methods

build :: ProfilingStatus -> ByteStringBuilder #

ToQuery ProfilingStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProfilingStatus

Methods

toQuery :: ProfilingStatus -> QueryString #

FromText ProfilingStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProfilingStatus

Methods

fromText :: Text -> Either String ProfilingStatus #

ToText ProfilingStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProfilingStatus

Methods

toText :: ProfilingStatus -> Text #

FromXML ProfilingStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProfilingStatus

Methods

parseXML :: [Node] -> Either String ProfilingStatus #

ToXML ProfilingStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProfilingStatus

Methods

toXML :: ProfilingStatus -> XML #

Generic ProfilingStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProfilingStatus

Associated Types

type Rep ProfilingStatus :: Type -> Type #

Methods

from :: ProfilingStatus -> Rep ProfilingStatus x #

to :: Rep ProfilingStatus x -> ProfilingStatus #

Read ProfilingStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProfilingStatus

Methods

readsPrec :: Int -> ReadS ProfilingStatus #

readList :: ReadS [ProfilingStatus] #

readPrec :: ReadPrec ProfilingStatus #

readListPrec :: ReadPrec [ProfilingStatus] #

Show ProfilingStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProfilingStatus

Methods

showsPrec :: Int -> ProfilingStatus -> ShowS #

show :: ProfilingStatus -> String #

showList :: [ProfilingStatus] -> ShowS #

NFData ProfilingStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProfilingStatus

Methods

rnf :: ProfilingStatus -> () #

Eq ProfilingStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProfilingStatus

Methods

(==) :: ProfilingStatus -> ProfilingStatus -> Bool #

(/=) :: ProfilingStatus -> ProfilingStatus -> Bool #

Ord ProfilingStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProfilingStatus

Methods

compare :: ProfilingStatus -> ProfilingStatus -> Ordering #

(<) :: ProfilingStatus -> ProfilingStatus -> Bool #

(<=) :: ProfilingStatus -> ProfilingStatus -> Bool #

(>) :: ProfilingStatus -> ProfilingStatus -> Bool #

(>=) :: ProfilingStatus -> ProfilingStatus -> Bool #

max :: ProfilingStatus -> ProfilingStatus -> ProfilingStatus #

min :: ProfilingStatus -> ProfilingStatus -> ProfilingStatus #

Hashable ProfilingStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProfilingStatus

Methods

hashWithSalt :: Int -> ProfilingStatus -> Int #

hash :: ProfilingStatus -> Int #

type Rep ProfilingStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProfilingStatus

type Rep ProfilingStatus = D1 ('MetaData "ProfilingStatus" "Amazonka.SageMaker.Types.ProfilingStatus" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'True) (C1 ('MetaCons "ProfilingStatus'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromProfilingStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

ProjectSortBy

newtype ProjectSortBy Source #

Constructors

ProjectSortBy' 

Fields

Bundled Patterns

pattern ProjectSortBy_CreationTime :: ProjectSortBy 
pattern ProjectSortBy_Name :: ProjectSortBy 

Instances

Instances details
FromJSON ProjectSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProjectSortBy

Methods

parseJSON :: Value -> Parser ProjectSortBy #

parseJSONList :: Value -> Parser [ProjectSortBy] #

FromJSONKey ProjectSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProjectSortBy

Methods

fromJSONKey :: FromJSONKeyFunction ProjectSortBy #

fromJSONKeyList :: FromJSONKeyFunction [ProjectSortBy] #

ToJSON ProjectSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProjectSortBy

Methods

toJSON :: ProjectSortBy -> Value #

toEncoding :: ProjectSortBy -> Encoding #

toJSONList :: [ProjectSortBy] -> Value #

toEncodingList :: [ProjectSortBy] -> Encoding #

ToJSONKey ProjectSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProjectSortBy

Methods

toJSONKey :: ToJSONKeyFunction ProjectSortBy #

toJSONKeyList :: ToJSONKeyFunction [ProjectSortBy] #

ToByteString ProjectSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProjectSortBy

Methods

toBS :: ProjectSortBy -> ByteString #

ToHeader ProjectSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProjectSortBy

Methods

toHeader :: HeaderName -> ProjectSortBy -> [Header] #

ToLog ProjectSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProjectSortBy

Methods

build :: ProjectSortBy -> ByteStringBuilder #

ToQuery ProjectSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProjectSortBy

Methods

toQuery :: ProjectSortBy -> QueryString #

FromText ProjectSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProjectSortBy

Methods

fromText :: Text -> Either String ProjectSortBy #

ToText ProjectSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProjectSortBy

Methods

toText :: ProjectSortBy -> Text #

FromXML ProjectSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProjectSortBy

Methods

parseXML :: [Node] -> Either String ProjectSortBy #

ToXML ProjectSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProjectSortBy

Methods

toXML :: ProjectSortBy -> XML #

Generic ProjectSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProjectSortBy

Associated Types

type Rep ProjectSortBy :: Type -> Type #

Methods

from :: ProjectSortBy -> Rep ProjectSortBy x #

to :: Rep ProjectSortBy x -> ProjectSortBy #

Read ProjectSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProjectSortBy

Methods

readsPrec :: Int -> ReadS ProjectSortBy #

readList :: ReadS [ProjectSortBy] #

readPrec :: ReadPrec ProjectSortBy #

readListPrec :: ReadPrec [ProjectSortBy] #

Show ProjectSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProjectSortBy

Methods

showsPrec :: Int -> ProjectSortBy -> ShowS #

show :: ProjectSortBy -> String #

showList :: [ProjectSortBy] -> ShowS #

NFData ProjectSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProjectSortBy

Methods

rnf :: ProjectSortBy -> () #

Eq ProjectSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProjectSortBy

Methods

(==) :: ProjectSortBy -> ProjectSortBy -> Bool #

(/=) :: ProjectSortBy -> ProjectSortBy -> Bool #

Ord ProjectSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProjectSortBy

Methods

compare :: ProjectSortBy -> ProjectSortBy -> Ordering #

(<) :: ProjectSortBy -> ProjectSortBy -> Bool #

(<=) :: ProjectSortBy -> ProjectSortBy -> Bool #

(>) :: ProjectSortBy -> ProjectSortBy -> Bool #

(>=) :: ProjectSortBy -> ProjectSortBy -> Bool #

max :: ProjectSortBy -> ProjectSortBy -> ProjectSortBy #

min :: ProjectSortBy -> ProjectSortBy -> ProjectSortBy #

Hashable ProjectSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProjectSortBy

Methods

hashWithSalt :: Int -> ProjectSortBy -> Int #

hash :: ProjectSortBy -> Int #

type Rep ProjectSortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProjectSortBy

type Rep ProjectSortBy = D1 ('MetaData "ProjectSortBy" "Amazonka.SageMaker.Types.ProjectSortBy" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'True) (C1 ('MetaCons "ProjectSortBy'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromProjectSortBy") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

ProjectSortOrder

newtype ProjectSortOrder Source #

Constructors

ProjectSortOrder' 

Fields

Bundled Patterns

pattern ProjectSortOrder_Ascending :: ProjectSortOrder 
pattern ProjectSortOrder_Descending :: ProjectSortOrder 

Instances

Instances details
FromJSON ProjectSortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProjectSortOrder

Methods

parseJSON :: Value -> Parser ProjectSortOrder #

parseJSONList :: Value -> Parser [ProjectSortOrder] #

FromJSONKey ProjectSortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProjectSortOrder

Methods

fromJSONKey :: FromJSONKeyFunction ProjectSortOrder #

fromJSONKeyList :: FromJSONKeyFunction [ProjectSortOrder] #

ToJSON ProjectSortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProjectSortOrder

Methods

toJSON :: ProjectSortOrder -> Value #

toEncoding :: ProjectSortOrder -> Encoding #

toJSONList :: [ProjectSortOrder] -> Value #

toEncodingList :: [ProjectSortOrder] -> Encoding #

ToJSONKey ProjectSortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProjectSortOrder

Methods

toJSONKey :: ToJSONKeyFunction ProjectSortOrder #

toJSONKeyList :: ToJSONKeyFunction [ProjectSortOrder] #

ToByteString ProjectSortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProjectSortOrder

Methods

toBS :: ProjectSortOrder -> ByteString #

ToHeader ProjectSortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProjectSortOrder

Methods

toHeader :: HeaderName -> ProjectSortOrder -> [Header] #

ToLog ProjectSortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProjectSortOrder

Methods

build :: ProjectSortOrder -> ByteStringBuilder #

ToQuery ProjectSortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProjectSortOrder

Methods

toQuery :: ProjectSortOrder -> QueryString #

FromText ProjectSortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProjectSortOrder

Methods

fromText :: Text -> Either String ProjectSortOrder #

ToText ProjectSortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProjectSortOrder

Methods

toText :: ProjectSortOrder -> Text #

FromXML ProjectSortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProjectSortOrder

Methods

parseXML :: [Node] -> Either String ProjectSortOrder #

ToXML ProjectSortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProjectSortOrder

Methods

toXML :: ProjectSortOrder -> XML #

Generic ProjectSortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProjectSortOrder

Associated Types

type Rep ProjectSortOrder :: Type -> Type #

Methods

from :: ProjectSortOrder -> Rep ProjectSortOrder x #

to :: Rep ProjectSortOrder x -> ProjectSortOrder #

Read ProjectSortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProjectSortOrder

Methods

readsPrec :: Int -> ReadS ProjectSortOrder #

readList :: ReadS [ProjectSortOrder] #

readPrec :: ReadPrec ProjectSortOrder #

readListPrec :: ReadPrec [ProjectSortOrder] #

Show ProjectSortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProjectSortOrder

Methods

showsPrec :: Int -> ProjectSortOrder -> ShowS #

show :: ProjectSortOrder -> String #

showList :: [ProjectSortOrder] -> ShowS #

NFData ProjectSortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProjectSortOrder

Methods

rnf :: ProjectSortOrder -> () #

Eq ProjectSortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProjectSortOrder

Methods

(==) :: ProjectSortOrder -> ProjectSortOrder -> Bool #

(/=) :: ProjectSortOrder -> ProjectSortOrder -> Bool #

Ord ProjectSortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProjectSortOrder

Methods

compare :: ProjectSortOrder -> ProjectSortOrder -> Ordering #

(<) :: ProjectSortOrder -> ProjectSortOrder -> Bool #

(<=) :: ProjectSortOrder -> ProjectSortOrder -> Bool #

(>) :: ProjectSortOrder -> ProjectSortOrder -> Bool #

(>=) :: ProjectSortOrder -> ProjectSortOrder -> Bool #

max :: ProjectSortOrder -> ProjectSortOrder -> ProjectSortOrder #

min :: ProjectSortOrder -> ProjectSortOrder -> ProjectSortOrder #

Hashable ProjectSortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProjectSortOrder

Methods

hashWithSalt :: Int -> ProjectSortOrder -> Int #

hash :: ProjectSortOrder -> Int #

type Rep ProjectSortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProjectSortOrder

type Rep ProjectSortOrder = D1 ('MetaData "ProjectSortOrder" "Amazonka.SageMaker.Types.ProjectSortOrder" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'True) (C1 ('MetaCons "ProjectSortOrder'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromProjectSortOrder") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

ProjectStatus

newtype ProjectStatus Source #

Constructors

ProjectStatus' 

Fields

Bundled Patterns

pattern ProjectStatus_CreateCompleted :: ProjectStatus 
pattern ProjectStatus_CreateFailed :: ProjectStatus 
pattern ProjectStatus_CreateInProgress :: ProjectStatus 
pattern ProjectStatus_DeleteCompleted :: ProjectStatus 
pattern ProjectStatus_DeleteFailed :: ProjectStatus 
pattern ProjectStatus_DeleteInProgress :: ProjectStatus 
pattern ProjectStatus_Pending :: ProjectStatus 
pattern ProjectStatus_UpdateCompleted :: ProjectStatus 
pattern ProjectStatus_UpdateFailed :: ProjectStatus 
pattern ProjectStatus_UpdateInProgress :: ProjectStatus 

Instances

Instances details
FromJSON ProjectStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProjectStatus

Methods

parseJSON :: Value -> Parser ProjectStatus #

parseJSONList :: Value -> Parser [ProjectStatus] #

FromJSONKey ProjectStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProjectStatus

Methods

fromJSONKey :: FromJSONKeyFunction ProjectStatus #

fromJSONKeyList :: FromJSONKeyFunction [ProjectStatus] #

ToJSON ProjectStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProjectStatus

Methods

toJSON :: ProjectStatus -> Value #

toEncoding :: ProjectStatus -> Encoding #

toJSONList :: [ProjectStatus] -> Value #

toEncodingList :: [ProjectStatus] -> Encoding #

ToJSONKey ProjectStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProjectStatus

Methods

toJSONKey :: ToJSONKeyFunction ProjectStatus #

toJSONKeyList :: ToJSONKeyFunction [ProjectStatus] #

ToByteString ProjectStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProjectStatus

Methods

toBS :: ProjectStatus -> ByteString #

ToHeader ProjectStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProjectStatus

Methods

toHeader :: HeaderName -> ProjectStatus -> [Header] #

ToLog ProjectStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProjectStatus

Methods

build :: ProjectStatus -> ByteStringBuilder #

ToQuery ProjectStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProjectStatus

Methods

toQuery :: ProjectStatus -> QueryString #

FromText ProjectStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProjectStatus

Methods

fromText :: Text -> Either String ProjectStatus #

ToText ProjectStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProjectStatus

Methods

toText :: ProjectStatus -> Text #

FromXML ProjectStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProjectStatus

Methods

parseXML :: [Node] -> Either String ProjectStatus #

ToXML ProjectStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProjectStatus

Methods

toXML :: ProjectStatus -> XML #

Generic ProjectStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProjectStatus

Associated Types

type Rep ProjectStatus :: Type -> Type #

Methods

from :: ProjectStatus -> Rep ProjectStatus x #

to :: Rep ProjectStatus x -> ProjectStatus #

Read ProjectStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProjectStatus

Methods

readsPrec :: Int -> ReadS ProjectStatus #

readList :: ReadS [ProjectStatus] #

readPrec :: ReadPrec ProjectStatus #

readListPrec :: ReadPrec [ProjectStatus] #

Show ProjectStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProjectStatus

Methods

showsPrec :: Int -> ProjectStatus -> ShowS #

show :: ProjectStatus -> String #

showList :: [ProjectStatus] -> ShowS #

NFData ProjectStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProjectStatus

Methods

rnf :: ProjectStatus -> () #

Eq ProjectStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProjectStatus

Methods

(==) :: ProjectStatus -> ProjectStatus -> Bool #

(/=) :: ProjectStatus -> ProjectStatus -> Bool #

Ord ProjectStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProjectStatus

Methods

compare :: ProjectStatus -> ProjectStatus -> Ordering #

(<) :: ProjectStatus -> ProjectStatus -> Bool #

(<=) :: ProjectStatus -> ProjectStatus -> Bool #

(>) :: ProjectStatus -> ProjectStatus -> Bool #

(>=) :: ProjectStatus -> ProjectStatus -> Bool #

max :: ProjectStatus -> ProjectStatus -> ProjectStatus #

min :: ProjectStatus -> ProjectStatus -> ProjectStatus #

Hashable ProjectStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProjectStatus

Methods

hashWithSalt :: Int -> ProjectStatus -> Int #

hash :: ProjectStatus -> Int #

type Rep ProjectStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProjectStatus

type Rep ProjectStatus = D1 ('MetaData "ProjectStatus" "Amazonka.SageMaker.Types.ProjectStatus" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'True) (C1 ('MetaCons "ProjectStatus'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromProjectStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

RStudioServerProAccessStatus

newtype RStudioServerProAccessStatus Source #

Constructors

RStudioServerProAccessStatus' 

Fields

Bundled Patterns

pattern RStudioServerProAccessStatus_DISABLED :: RStudioServerProAccessStatus 
pattern RStudioServerProAccessStatus_ENABLED :: RStudioServerProAccessStatus 

Instances

Instances details
FromJSON RStudioServerProAccessStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RStudioServerProAccessStatus

Methods

parseJSON :: Value -> Parser RStudioServerProAccessStatus #

parseJSONList :: Value -> Parser [RStudioServerProAccessStatus] #

FromJSONKey RStudioServerProAccessStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RStudioServerProAccessStatus

Methods

fromJSONKey :: FromJSONKeyFunction RStudioServerProAccessStatus #

fromJSONKeyList :: FromJSONKeyFunction [RStudioServerProAccessStatus] #

ToJSON RStudioServerProAccessStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RStudioServerProAccessStatus

Methods

toJSON :: RStudioServerProAccessStatus -> Value #

toEncoding :: RStudioServerProAccessStatus -> Encoding #

toJSONList :: [RStudioServerProAccessStatus] -> Value #

toEncodingList :: [RStudioServerProAccessStatus] -> Encoding #

ToJSONKey RStudioServerProAccessStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RStudioServerProAccessStatus

Methods

toJSONKey :: ToJSONKeyFunction RStudioServerProAccessStatus #

toJSONKeyList :: ToJSONKeyFunction [RStudioServerProAccessStatus] #

ToByteString RStudioServerProAccessStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RStudioServerProAccessStatus

Methods

toBS :: RStudioServerProAccessStatus -> ByteString #

ToHeader RStudioServerProAccessStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RStudioServerProAccessStatus

Methods

toHeader :: HeaderName -> RStudioServerProAccessStatus -> [Header] #

ToLog RStudioServerProAccessStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RStudioServerProAccessStatus

Methods

build :: RStudioServerProAccessStatus -> ByteStringBuilder #

ToQuery RStudioServerProAccessStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RStudioServerProAccessStatus

Methods

toQuery :: RStudioServerProAccessStatus -> QueryString #

FromText RStudioServerProAccessStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RStudioServerProAccessStatus

Methods

fromText :: Text -> Either String RStudioServerProAccessStatus #

ToText RStudioServerProAccessStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RStudioServerProAccessStatus

Methods

toText :: RStudioServerProAccessStatus -> Text #

FromXML RStudioServerProAccessStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RStudioServerProAccessStatus

Methods

parseXML :: [Node] -> Either String RStudioServerProAccessStatus #

ToXML RStudioServerProAccessStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RStudioServerProAccessStatus

Methods

toXML :: RStudioServerProAccessStatus -> XML #

Generic RStudioServerProAccessStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RStudioServerProAccessStatus

Associated Types

type Rep RStudioServerProAccessStatus :: Type -> Type #

Methods

from :: RStudioServerProAccessStatus -> Rep RStudioServerProAccessStatus x #

to :: Rep RStudioServerProAccessStatus x -> RStudioServerProAccessStatus #

Read RStudioServerProAccessStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RStudioServerProAccessStatus

Methods

readsPrec :: Int -> ReadS RStudioServerProAccessStatus #

readList :: ReadS [RStudioServerProAccessStatus] #

readPrec :: ReadPrec RStudioServerProAccessStatus #

readListPrec :: ReadPrec [RStudioServerProAccessStatus] #

Show RStudioServerProAccessStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RStudioServerProAccessStatus

Methods

showsPrec :: Int -> RStudioServerProAccessStatus -> ShowS #

show :: RStudioServerProAccessStatus -> String #

showList :: [RStudioServerProAccessStatus] -> ShowS #

NFData RStudioServerProAccessStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RStudioServerProAccessStatus

Methods

rnf :: RStudioServerProAccessStatus -> () #

Eq RStudioServerProAccessStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RStudioServerProAccessStatus

Methods

(==) :: RStudioServerProAccessStatus -> RStudioServerProAccessStatus -> Bool #

(/=) :: RStudioServerProAccessStatus -> RStudioServerProAccessStatus -> Bool #

Ord RStudioServerProAccessStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RStudioServerProAccessStatus

Methods

compare :: RStudioServerProAccessStatus -> RStudioServerProAccessStatus -> Ordering #

(<) :: RStudioServerProAccessStatus -> RStudioServerProAccessStatus -> Bool #

(<=) :: RStudioServerProAccessStatus -> RStudioServerProAccessStatus -> Bool #

(>) :: RStudioServerProAccessStatus -> RStudioServerProAccessStatus -> Bool #

(>=) :: RStudioServerProAccessStatus -> RStudioServerProAccessStatus -> Bool #

max :: RStudioServerProAccessStatus -> RStudioServerProAccessStatus -> RStudioServerProAccessStatus #

min :: RStudioServerProAccessStatus -> RStudioServerProAccessStatus -> RStudioServerProAccessStatus #

Hashable RStudioServerProAccessStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RStudioServerProAccessStatus

Methods

hashWithSalt :: Int -> RStudioServerProAccessStatus -> Int #

hash :: RStudioServerProAccessStatus -> Int #

type Rep RStudioServerProAccessStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RStudioServerProAccessStatus

type Rep RStudioServerProAccessStatus = D1 ('MetaData "RStudioServerProAccessStatus" "Amazonka.SageMaker.Types.RStudioServerProAccessStatus" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'True) (C1 ('MetaCons "RStudioServerProAccessStatus'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromRStudioServerProAccessStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

RStudioServerProUserGroup

newtype RStudioServerProUserGroup Source #

Constructors

RStudioServerProUserGroup' 

Fields

Bundled Patterns

pattern RStudioServerProUserGroup_R_STUDIO_ADMIN :: RStudioServerProUserGroup 
pattern RStudioServerProUserGroup_R_STUDIO_USER :: RStudioServerProUserGroup 

Instances

Instances details
FromJSON RStudioServerProUserGroup Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RStudioServerProUserGroup

Methods

parseJSON :: Value -> Parser RStudioServerProUserGroup #

parseJSONList :: Value -> Parser [RStudioServerProUserGroup] #

FromJSONKey RStudioServerProUserGroup Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RStudioServerProUserGroup

Methods

fromJSONKey :: FromJSONKeyFunction RStudioServerProUserGroup #

fromJSONKeyList :: FromJSONKeyFunction [RStudioServerProUserGroup] #

ToJSON RStudioServerProUserGroup Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RStudioServerProUserGroup

Methods

toJSON :: RStudioServerProUserGroup -> Value #

toEncoding :: RStudioServerProUserGroup -> Encoding #

toJSONList :: [RStudioServerProUserGroup] -> Value #

toEncodingList :: [RStudioServerProUserGroup] -> Encoding #

ToJSONKey RStudioServerProUserGroup Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RStudioServerProUserGroup

Methods

toJSONKey :: ToJSONKeyFunction RStudioServerProUserGroup #

toJSONKeyList :: ToJSONKeyFunction [RStudioServerProUserGroup] #

ToByteString RStudioServerProUserGroup Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RStudioServerProUserGroup

Methods

toBS :: RStudioServerProUserGroup -> ByteString #

ToHeader RStudioServerProUserGroup Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RStudioServerProUserGroup

Methods

toHeader :: HeaderName -> RStudioServerProUserGroup -> [Header] #

ToLog RStudioServerProUserGroup Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RStudioServerProUserGroup

Methods

build :: RStudioServerProUserGroup -> ByteStringBuilder #

ToQuery RStudioServerProUserGroup Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RStudioServerProUserGroup

Methods

toQuery :: RStudioServerProUserGroup -> QueryString #

FromText RStudioServerProUserGroup Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RStudioServerProUserGroup

Methods

fromText :: Text -> Either String RStudioServerProUserGroup #

ToText RStudioServerProUserGroup Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RStudioServerProUserGroup

Methods

toText :: RStudioServerProUserGroup -> Text #

FromXML RStudioServerProUserGroup Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RStudioServerProUserGroup

Methods

parseXML :: [Node] -> Either String RStudioServerProUserGroup #

ToXML RStudioServerProUserGroup Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RStudioServerProUserGroup

Methods

toXML :: RStudioServerProUserGroup -> XML #

Generic RStudioServerProUserGroup Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RStudioServerProUserGroup

Associated Types

type Rep RStudioServerProUserGroup :: Type -> Type #

Methods

from :: RStudioServerProUserGroup -> Rep RStudioServerProUserGroup x #

to :: Rep RStudioServerProUserGroup x -> RStudioServerProUserGroup #

Read RStudioServerProUserGroup Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RStudioServerProUserGroup

Methods

readsPrec :: Int -> ReadS RStudioServerProUserGroup #

readList :: ReadS [RStudioServerProUserGroup] #

readPrec :: ReadPrec RStudioServerProUserGroup #

readListPrec :: ReadPrec [RStudioServerProUserGroup] #

Show RStudioServerProUserGroup Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RStudioServerProUserGroup

Methods

showsPrec :: Int -> RStudioServerProUserGroup -> ShowS #

show :: RStudioServerProUserGroup -> String #

showList :: [RStudioServerProUserGroup] -> ShowS #

NFData RStudioServerProUserGroup Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RStudioServerProUserGroup

Methods

rnf :: RStudioServerProUserGroup -> () #

Eq RStudioServerProUserGroup Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RStudioServerProUserGroup

Methods

(==) :: RStudioServerProUserGroup -> RStudioServerProUserGroup -> Bool #

(/=) :: RStudioServerProUserGroup -> RStudioServerProUserGroup -> Bool #

Ord RStudioServerProUserGroup Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RStudioServerProUserGroup

Methods

compare :: RStudioServerProUserGroup -> RStudioServerProUserGroup -> Ordering #

(<) :: RStudioServerProUserGroup -> RStudioServerProUserGroup -> Bool #

(<=) :: RStudioServerProUserGroup -> RStudioServerProUserGroup -> Bool #

(>) :: RStudioServerProUserGroup -> RStudioServerProUserGroup -> Bool #

(>=) :: RStudioServerProUserGroup -> RStudioServerProUserGroup -> Bool #

max :: RStudioServerProUserGroup -> RStudioServerProUserGroup -> RStudioServerProUserGroup #

min :: RStudioServerProUserGroup -> RStudioServerProUserGroup -> RStudioServerProUserGroup #

Hashable RStudioServerProUserGroup Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RStudioServerProUserGroup

Methods

hashWithSalt :: Int -> RStudioServerProUserGroup -> Int #

hash :: RStudioServerProUserGroup -> Int #

type Rep RStudioServerProUserGroup Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RStudioServerProUserGroup

type Rep RStudioServerProUserGroup = D1 ('MetaData "RStudioServerProUserGroup" "Amazonka.SageMaker.Types.RStudioServerProUserGroup" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'True) (C1 ('MetaCons "RStudioServerProUserGroup'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromRStudioServerProUserGroup") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

RecommendationJobStatus

newtype RecommendationJobStatus Source #

Constructors

RecommendationJobStatus' 

Fields

Bundled Patterns

pattern RecommendationJobStatus_COMPLETED :: RecommendationJobStatus 
pattern RecommendationJobStatus_FAILED :: RecommendationJobStatus 
pattern RecommendationJobStatus_IN_PROGRESS :: RecommendationJobStatus 
pattern RecommendationJobStatus_PENDING :: RecommendationJobStatus 
pattern RecommendationJobStatus_STOPPED :: RecommendationJobStatus 
pattern RecommendationJobStatus_STOPPING :: RecommendationJobStatus 

Instances

Instances details
FromJSON RecommendationJobStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RecommendationJobStatus

Methods

parseJSON :: Value -> Parser RecommendationJobStatus #

parseJSONList :: Value -> Parser [RecommendationJobStatus] #

FromJSONKey RecommendationJobStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RecommendationJobStatus

Methods

fromJSONKey :: FromJSONKeyFunction RecommendationJobStatus #

fromJSONKeyList :: FromJSONKeyFunction [RecommendationJobStatus] #

ToJSON RecommendationJobStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RecommendationJobStatus

Methods

toJSON :: RecommendationJobStatus -> Value #

toEncoding :: RecommendationJobStatus -> Encoding #

toJSONList :: [RecommendationJobStatus] -> Value #

toEncodingList :: [RecommendationJobStatus] -> Encoding #

ToJSONKey RecommendationJobStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RecommendationJobStatus

Methods

toJSONKey :: ToJSONKeyFunction RecommendationJobStatus #

toJSONKeyList :: ToJSONKeyFunction [RecommendationJobStatus] #

ToByteString RecommendationJobStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RecommendationJobStatus

Methods

toBS :: RecommendationJobStatus -> ByteString #

ToHeader RecommendationJobStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RecommendationJobStatus

Methods

toHeader :: HeaderName -> RecommendationJobStatus -> [Header] #

ToLog RecommendationJobStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RecommendationJobStatus

Methods

build :: RecommendationJobStatus -> ByteStringBuilder #

ToQuery RecommendationJobStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RecommendationJobStatus

Methods

toQuery :: RecommendationJobStatus -> QueryString #

FromText RecommendationJobStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RecommendationJobStatus

Methods

fromText :: Text -> Either String RecommendationJobStatus #

ToText RecommendationJobStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RecommendationJobStatus

Methods

toText :: RecommendationJobStatus -> Text #

FromXML RecommendationJobStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RecommendationJobStatus

Methods

parseXML :: [Node] -> Either String RecommendationJobStatus #

ToXML RecommendationJobStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RecommendationJobStatus

Methods

toXML :: RecommendationJobStatus -> XML #

Generic RecommendationJobStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RecommendationJobStatus

Associated Types

type Rep RecommendationJobStatus :: Type -> Type #

Methods

from :: RecommendationJobStatus -> Rep RecommendationJobStatus x #

to :: Rep RecommendationJobStatus x -> RecommendationJobStatus #

Read RecommendationJobStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RecommendationJobStatus

Methods

readsPrec :: Int -> ReadS RecommendationJobStatus #

readList :: ReadS [RecommendationJobStatus] #

readPrec :: ReadPrec RecommendationJobStatus #

readListPrec :: ReadPrec [RecommendationJobStatus] #

Show RecommendationJobStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RecommendationJobStatus

Methods

showsPrec :: Int -> RecommendationJobStatus -> ShowS #

show :: RecommendationJobStatus -> String #

showList :: [RecommendationJobStatus] -> ShowS #

NFData RecommendationJobStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RecommendationJobStatus

Methods

rnf :: RecommendationJobStatus -> () #

Eq RecommendationJobStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RecommendationJobStatus

Methods

(==) :: RecommendationJobStatus -> RecommendationJobStatus -> Bool #

(/=) :: RecommendationJobStatus -> RecommendationJobStatus -> Bool #

Ord RecommendationJobStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RecommendationJobStatus

Methods

compare :: RecommendationJobStatus -> RecommendationJobStatus -> Ordering #

(<) :: RecommendationJobStatus -> RecommendationJobStatus -> Bool #

(<=) :: RecommendationJobStatus -> RecommendationJobStatus -> Bool #

(>) :: RecommendationJobStatus -> RecommendationJobStatus -> Bool #

(>=) :: RecommendationJobStatus -> RecommendationJobStatus -> Bool #

max :: RecommendationJobStatus -> RecommendationJobStatus -> RecommendationJobStatus #

min :: RecommendationJobStatus -> RecommendationJobStatus -> RecommendationJobStatus #

Hashable RecommendationJobStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RecommendationJobStatus

Methods

hashWithSalt :: Int -> RecommendationJobStatus -> Int #

hash :: RecommendationJobStatus -> Int #

type Rep RecommendationJobStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RecommendationJobStatus

type Rep RecommendationJobStatus = D1 ('MetaData "RecommendationJobStatus" "Amazonka.SageMaker.Types.RecommendationJobStatus" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'True) (C1 ('MetaCons "RecommendationJobStatus'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromRecommendationJobStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

RecommendationJobType

newtype RecommendationJobType Source #

Constructors

RecommendationJobType' 

Fields

Bundled Patterns

pattern RecommendationJobType_Advanced :: RecommendationJobType 
pattern RecommendationJobType_Default :: RecommendationJobType 

Instances

Instances details
FromJSON RecommendationJobType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RecommendationJobType

Methods

parseJSON :: Value -> Parser RecommendationJobType #

parseJSONList :: Value -> Parser [RecommendationJobType] #

FromJSONKey RecommendationJobType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RecommendationJobType

Methods

fromJSONKey :: FromJSONKeyFunction RecommendationJobType #

fromJSONKeyList :: FromJSONKeyFunction [RecommendationJobType] #

ToJSON RecommendationJobType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RecommendationJobType

Methods

toJSON :: RecommendationJobType -> Value #

toEncoding :: RecommendationJobType -> Encoding #

toJSONList :: [RecommendationJobType] -> Value #

toEncodingList :: [RecommendationJobType] -> Encoding #

ToJSONKey RecommendationJobType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RecommendationJobType

Methods

toJSONKey :: ToJSONKeyFunction RecommendationJobType #

toJSONKeyList :: ToJSONKeyFunction [RecommendationJobType] #

ToByteString RecommendationJobType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RecommendationJobType

Methods

toBS :: RecommendationJobType -> ByteString #

ToHeader RecommendationJobType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RecommendationJobType

Methods

toHeader :: HeaderName -> RecommendationJobType -> [Header] #

ToLog RecommendationJobType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RecommendationJobType

Methods

build :: RecommendationJobType -> ByteStringBuilder #

ToQuery RecommendationJobType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RecommendationJobType

Methods

toQuery :: RecommendationJobType -> QueryString #

FromText RecommendationJobType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RecommendationJobType

Methods

fromText :: Text -> Either String RecommendationJobType #

ToText RecommendationJobType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RecommendationJobType

Methods

toText :: RecommendationJobType -> Text #

FromXML RecommendationJobType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RecommendationJobType

Methods

parseXML :: [Node] -> Either String RecommendationJobType #

ToXML RecommendationJobType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RecommendationJobType

Methods

toXML :: RecommendationJobType -> XML #

Generic RecommendationJobType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RecommendationJobType

Associated Types

type Rep RecommendationJobType :: Type -> Type #

Methods

from :: RecommendationJobType -> Rep RecommendationJobType x #

to :: Rep RecommendationJobType x -> RecommendationJobType #

Read RecommendationJobType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RecommendationJobType

Methods

readsPrec :: Int -> ReadS RecommendationJobType #

readList :: ReadS [RecommendationJobType] #

readPrec :: ReadPrec RecommendationJobType #

readListPrec :: ReadPrec [RecommendationJobType] #

Show RecommendationJobType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RecommendationJobType

Methods

showsPrec :: Int -> RecommendationJobType -> ShowS #

show :: RecommendationJobType -> String #

showList :: [RecommendationJobType] -> ShowS #

NFData RecommendationJobType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RecommendationJobType

Methods

rnf :: RecommendationJobType -> () #

Eq RecommendationJobType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RecommendationJobType

Methods

(==) :: RecommendationJobType -> RecommendationJobType -> Bool #

(/=) :: RecommendationJobType -> RecommendationJobType -> Bool #

Ord RecommendationJobType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RecommendationJobType

Methods

compare :: RecommendationJobType -> RecommendationJobType -> Ordering #

(<) :: RecommendationJobType -> RecommendationJobType -> Bool #

(<=) :: RecommendationJobType -> RecommendationJobType -> Bool #

(>) :: RecommendationJobType -> RecommendationJobType -> Bool #

(>=) :: RecommendationJobType -> RecommendationJobType -> Bool #

max :: RecommendationJobType -> RecommendationJobType -> RecommendationJobType #

min :: RecommendationJobType -> RecommendationJobType -> RecommendationJobType #

Hashable RecommendationJobType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RecommendationJobType

Methods

hashWithSalt :: Int -> RecommendationJobType -> Int #

hash :: RecommendationJobType -> Int #

type Rep RecommendationJobType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RecommendationJobType

type Rep RecommendationJobType = D1 ('MetaData "RecommendationJobType" "Amazonka.SageMaker.Types.RecommendationJobType" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'True) (C1 ('MetaCons "RecommendationJobType'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromRecommendationJobType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

RecommendationStepType

newtype RecommendationStepType Source #

Constructors

RecommendationStepType' 

Fields

Bundled Patterns

pattern RecommendationStepType_BENCHMARK :: RecommendationStepType 

Instances

Instances details
FromJSON RecommendationStepType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RecommendationStepType

Methods

parseJSON :: Value -> Parser RecommendationStepType #

parseJSONList :: Value -> Parser [RecommendationStepType] #

FromJSONKey RecommendationStepType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RecommendationStepType

Methods

fromJSONKey :: FromJSONKeyFunction RecommendationStepType #

fromJSONKeyList :: FromJSONKeyFunction [RecommendationStepType] #

ToJSON RecommendationStepType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RecommendationStepType

Methods

toJSON :: RecommendationStepType -> Value #

toEncoding :: RecommendationStepType -> Encoding #

toJSONList :: [RecommendationStepType] -> Value #

toEncodingList :: [RecommendationStepType] -> Encoding #

ToJSONKey RecommendationStepType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RecommendationStepType

Methods

toJSONKey :: ToJSONKeyFunction RecommendationStepType #

toJSONKeyList :: ToJSONKeyFunction [RecommendationStepType] #

ToByteString RecommendationStepType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RecommendationStepType

Methods

toBS :: RecommendationStepType -> ByteString #

ToHeader RecommendationStepType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RecommendationStepType

Methods

toHeader :: HeaderName -> RecommendationStepType -> [Header] #

ToLog RecommendationStepType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RecommendationStepType

Methods

build :: RecommendationStepType -> ByteStringBuilder #

ToQuery RecommendationStepType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RecommendationStepType

Methods

toQuery :: RecommendationStepType -> QueryString #

FromText RecommendationStepType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RecommendationStepType

Methods

fromText :: Text -> Either String RecommendationStepType #

ToText RecommendationStepType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RecommendationStepType

Methods

toText :: RecommendationStepType -> Text #

FromXML RecommendationStepType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RecommendationStepType

Methods

parseXML :: [Node] -> Either String RecommendationStepType #

ToXML RecommendationStepType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RecommendationStepType

Methods

toXML :: RecommendationStepType -> XML #

Generic RecommendationStepType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RecommendationStepType

Associated Types

type Rep RecommendationStepType :: Type -> Type #

Methods

from :: RecommendationStepType -> Rep RecommendationStepType x #

to :: Rep RecommendationStepType x -> RecommendationStepType #

Read RecommendationStepType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RecommendationStepType

Methods

readsPrec :: Int -> ReadS RecommendationStepType #

readList :: ReadS [RecommendationStepType] #

readPrec :: ReadPrec RecommendationStepType #

readListPrec :: ReadPrec [RecommendationStepType] #

Show RecommendationStepType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RecommendationStepType

Methods

showsPrec :: Int -> RecommendationStepType -> ShowS #

show :: RecommendationStepType -> String #

showList :: [RecommendationStepType] -> ShowS #

NFData RecommendationStepType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RecommendationStepType

Methods

rnf :: RecommendationStepType -> () #

Eq RecommendationStepType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RecommendationStepType

Methods

(==) :: RecommendationStepType -> RecommendationStepType -> Bool #

(/=) :: RecommendationStepType -> RecommendationStepType -> Bool #

Ord RecommendationStepType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RecommendationStepType

Methods

compare :: RecommendationStepType -> RecommendationStepType -> Ordering #

(<) :: RecommendationStepType -> RecommendationStepType -> Bool #

(<=) :: RecommendationStepType -> RecommendationStepType -> Bool #

(>) :: RecommendationStepType -> RecommendationStepType -> Bool #

(>=) :: RecommendationStepType -> RecommendationStepType -> Bool #

max :: RecommendationStepType -> RecommendationStepType -> RecommendationStepType #

min :: RecommendationStepType -> RecommendationStepType -> RecommendationStepType #

Hashable RecommendationStepType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RecommendationStepType

Methods

hashWithSalt :: Int -> RecommendationStepType -> Int #

hash :: RecommendationStepType -> Int #

type Rep RecommendationStepType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RecommendationStepType

type Rep RecommendationStepType = D1 ('MetaData "RecommendationStepType" "Amazonka.SageMaker.Types.RecommendationStepType" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'True) (C1 ('MetaCons "RecommendationStepType'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromRecommendationStepType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

RecordWrapper

newtype RecordWrapper Source #

Constructors

RecordWrapper' 

Fields

Bundled Patterns

pattern RecordWrapper_None :: RecordWrapper 
pattern RecordWrapper_RecordIO :: RecordWrapper 

Instances

Instances details
FromJSON RecordWrapper Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RecordWrapper

Methods

parseJSON :: Value -> Parser RecordWrapper #

parseJSONList :: Value -> Parser [RecordWrapper] #

FromJSONKey RecordWrapper Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RecordWrapper

Methods

fromJSONKey :: FromJSONKeyFunction RecordWrapper #

fromJSONKeyList :: FromJSONKeyFunction [RecordWrapper] #

ToJSON RecordWrapper Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RecordWrapper

Methods

toJSON :: RecordWrapper -> Value #

toEncoding :: RecordWrapper -> Encoding #

toJSONList :: [RecordWrapper] -> Value #

toEncodingList :: [RecordWrapper] -> Encoding #

ToJSONKey RecordWrapper Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RecordWrapper

Methods

toJSONKey :: ToJSONKeyFunction RecordWrapper #

toJSONKeyList :: ToJSONKeyFunction [RecordWrapper] #

ToByteString RecordWrapper Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RecordWrapper

Methods

toBS :: RecordWrapper -> ByteString #

ToHeader RecordWrapper Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RecordWrapper

Methods

toHeader :: HeaderName -> RecordWrapper -> [Header] #

ToLog RecordWrapper Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RecordWrapper

Methods

build :: RecordWrapper -> ByteStringBuilder #

ToQuery RecordWrapper Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RecordWrapper

Methods

toQuery :: RecordWrapper -> QueryString #

FromText RecordWrapper Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RecordWrapper

Methods

fromText :: Text -> Either String RecordWrapper #

ToText RecordWrapper Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RecordWrapper

Methods

toText :: RecordWrapper -> Text #

FromXML RecordWrapper Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RecordWrapper

Methods

parseXML :: [Node] -> Either String RecordWrapper #

ToXML RecordWrapper Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RecordWrapper

Methods

toXML :: RecordWrapper -> XML #

Generic RecordWrapper Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RecordWrapper

Associated Types

type Rep RecordWrapper :: Type -> Type #

Methods

from :: RecordWrapper -> Rep RecordWrapper x #

to :: Rep RecordWrapper x -> RecordWrapper #

Read RecordWrapper Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RecordWrapper

Methods

readsPrec :: Int -> ReadS RecordWrapper #

readList :: ReadS [RecordWrapper] #

readPrec :: ReadPrec RecordWrapper #

readListPrec :: ReadPrec [RecordWrapper] #

Show RecordWrapper Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RecordWrapper

Methods

showsPrec :: Int -> RecordWrapper -> ShowS #

show :: RecordWrapper -> String #

showList :: [RecordWrapper] -> ShowS #

NFData RecordWrapper Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RecordWrapper

Methods

rnf :: RecordWrapper -> () #

Eq RecordWrapper Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RecordWrapper

Methods

(==) :: RecordWrapper -> RecordWrapper -> Bool #

(/=) :: RecordWrapper -> RecordWrapper -> Bool #

Ord RecordWrapper Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RecordWrapper

Methods

compare :: RecordWrapper -> RecordWrapper -> Ordering #

(<) :: RecordWrapper -> RecordWrapper -> Bool #

(<=) :: RecordWrapper -> RecordWrapper -> Bool #

(>) :: RecordWrapper -> RecordWrapper -> Bool #

(>=) :: RecordWrapper -> RecordWrapper -> Bool #

max :: RecordWrapper -> RecordWrapper -> RecordWrapper #

min :: RecordWrapper -> RecordWrapper -> RecordWrapper #

Hashable RecordWrapper Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RecordWrapper

Methods

hashWithSalt :: Int -> RecordWrapper -> Int #

hash :: RecordWrapper -> Int #

type Rep RecordWrapper Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RecordWrapper

type Rep RecordWrapper = D1 ('MetaData "RecordWrapper" "Amazonka.SageMaker.Types.RecordWrapper" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'True) (C1 ('MetaCons "RecordWrapper'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromRecordWrapper") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

RedshiftResultCompressionType

newtype RedshiftResultCompressionType Source #

The compression used for Redshift query results.

Constructors

RedshiftResultCompressionType' 

Fields

Bundled Patterns

pattern RedshiftResultCompressionType_BZIP2 :: RedshiftResultCompressionType 
pattern RedshiftResultCompressionType_GZIP :: RedshiftResultCompressionType 
pattern RedshiftResultCompressionType_None :: RedshiftResultCompressionType 
pattern RedshiftResultCompressionType_SNAPPY :: RedshiftResultCompressionType 
pattern RedshiftResultCompressionType_ZSTD :: RedshiftResultCompressionType 

Instances

Instances details
FromJSON RedshiftResultCompressionType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RedshiftResultCompressionType

Methods

parseJSON :: Value -> Parser RedshiftResultCompressionType #

parseJSONList :: Value -> Parser [RedshiftResultCompressionType] #

FromJSONKey RedshiftResultCompressionType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RedshiftResultCompressionType

Methods

fromJSONKey :: FromJSONKeyFunction RedshiftResultCompressionType #

fromJSONKeyList :: FromJSONKeyFunction [RedshiftResultCompressionType] #

ToJSON RedshiftResultCompressionType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RedshiftResultCompressionType

Methods

toJSON :: RedshiftResultCompressionType -> Value #

toEncoding :: RedshiftResultCompressionType -> Encoding #

toJSONList :: [RedshiftResultCompressionType] -> Value #

toEncodingList :: [RedshiftResultCompressionType] -> Encoding #

ToJSONKey RedshiftResultCompressionType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RedshiftResultCompressionType

Methods

toJSONKey :: ToJSONKeyFunction RedshiftResultCompressionType #

toJSONKeyList :: ToJSONKeyFunction [RedshiftResultCompressionType] #

ToByteString RedshiftResultCompressionType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RedshiftResultCompressionType

Methods

toBS :: RedshiftResultCompressionType -> ByteString #

ToHeader RedshiftResultCompressionType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RedshiftResultCompressionType

Methods

toHeader :: HeaderName -> RedshiftResultCompressionType -> [Header] #

ToLog RedshiftResultCompressionType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RedshiftResultCompressionType

Methods

build :: RedshiftResultCompressionType -> ByteStringBuilder #

ToQuery RedshiftResultCompressionType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RedshiftResultCompressionType

Methods

toQuery :: RedshiftResultCompressionType -> QueryString #

FromText RedshiftResultCompressionType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RedshiftResultCompressionType

Methods

fromText :: Text -> Either String RedshiftResultCompressionType #

ToText RedshiftResultCompressionType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RedshiftResultCompressionType

Methods

toText :: RedshiftResultCompressionType -> Text #

FromXML RedshiftResultCompressionType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RedshiftResultCompressionType

Methods

parseXML :: [Node] -> Either String RedshiftResultCompressionType #

ToXML RedshiftResultCompressionType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RedshiftResultCompressionType

Methods

toXML :: RedshiftResultCompressionType -> XML #

Generic RedshiftResultCompressionType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RedshiftResultCompressionType

Associated Types

type Rep RedshiftResultCompressionType :: Type -> Type #

Methods

from :: RedshiftResultCompressionType -> Rep RedshiftResultCompressionType x #

to :: Rep RedshiftResultCompressionType x -> RedshiftResultCompressionType #

Read RedshiftResultCompressionType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RedshiftResultCompressionType

Methods

readsPrec :: Int -> ReadS RedshiftResultCompressionType #

readList :: ReadS [RedshiftResultCompressionType] #

readPrec :: ReadPrec RedshiftResultCompressionType #

readListPrec :: ReadPrec [RedshiftResultCompressionType] #

Show RedshiftResultCompressionType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RedshiftResultCompressionType

Methods

showsPrec :: Int -> RedshiftResultCompressionType -> ShowS #

show :: RedshiftResultCompressionType -> String #

showList :: [RedshiftResultCompressionType] -> ShowS #

NFData RedshiftResultCompressionType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RedshiftResultCompressionType

Methods

rnf :: RedshiftResultCompressionType -> () #

Eq RedshiftResultCompressionType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RedshiftResultCompressionType

Methods

(==) :: RedshiftResultCompressionType -> RedshiftResultCompressionType -> Bool #

(/=) :: RedshiftResultCompressionType -> RedshiftResultCompressionType -> Bool #

Ord RedshiftResultCompressionType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RedshiftResultCompressionType

Methods

compare :: RedshiftResultCompressionType -> RedshiftResultCompressionType -> Ordering #

(<) :: RedshiftResultCompressionType -> RedshiftResultCompressionType -> Bool #

(<=) :: RedshiftResultCompressionType -> RedshiftResultCompressionType -> Bool #

(>) :: RedshiftResultCompressionType -> RedshiftResultCompressionType -> Bool #

(>=) :: RedshiftResultCompressionType -> RedshiftResultCompressionType -> Bool #

max :: RedshiftResultCompressionType -> RedshiftResultCompressionType -> RedshiftResultCompressionType #

min :: RedshiftResultCompressionType -> RedshiftResultCompressionType -> RedshiftResultCompressionType #

Hashable RedshiftResultCompressionType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RedshiftResultCompressionType

Methods

hashWithSalt :: Int -> RedshiftResultCompressionType -> Int #

hash :: RedshiftResultCompressionType -> Int #

type Rep RedshiftResultCompressionType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RedshiftResultCompressionType

type Rep RedshiftResultCompressionType = D1 ('MetaData "RedshiftResultCompressionType" "Amazonka.SageMaker.Types.RedshiftResultCompressionType" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'True) (C1 ('MetaCons "RedshiftResultCompressionType'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromRedshiftResultCompressionType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

RedshiftResultFormat

newtype RedshiftResultFormat Source #

The data storage format for Redshift query results.

Constructors

RedshiftResultFormat' 

Fields

Bundled Patterns

pattern RedshiftResultFormat_CSV :: RedshiftResultFormat 
pattern RedshiftResultFormat_PARQUET :: RedshiftResultFormat 

Instances

Instances details
FromJSON RedshiftResultFormat Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RedshiftResultFormat

Methods

parseJSON :: Value -> Parser RedshiftResultFormat #

parseJSONList :: Value -> Parser [RedshiftResultFormat] #

FromJSONKey RedshiftResultFormat Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RedshiftResultFormat

Methods

fromJSONKey :: FromJSONKeyFunction RedshiftResultFormat #

fromJSONKeyList :: FromJSONKeyFunction [RedshiftResultFormat] #

ToJSON RedshiftResultFormat Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RedshiftResultFormat

Methods

toJSON :: RedshiftResultFormat -> Value #

toEncoding :: RedshiftResultFormat -> Encoding #

toJSONList :: [RedshiftResultFormat] -> Value #

toEncodingList :: [RedshiftResultFormat] -> Encoding #

ToJSONKey RedshiftResultFormat Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RedshiftResultFormat

Methods

toJSONKey :: ToJSONKeyFunction RedshiftResultFormat #

toJSONKeyList :: ToJSONKeyFunction [RedshiftResultFormat] #

ToByteString RedshiftResultFormat Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RedshiftResultFormat

Methods

toBS :: RedshiftResultFormat -> ByteString #

ToHeader RedshiftResultFormat Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RedshiftResultFormat

Methods

toHeader :: HeaderName -> RedshiftResultFormat -> [Header] #

ToLog RedshiftResultFormat Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RedshiftResultFormat

Methods

build :: RedshiftResultFormat -> ByteStringBuilder #

ToQuery RedshiftResultFormat Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RedshiftResultFormat

Methods

toQuery :: RedshiftResultFormat -> QueryString #

FromText RedshiftResultFormat Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RedshiftResultFormat

Methods

fromText :: Text -> Either String RedshiftResultFormat #

ToText RedshiftResultFormat Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RedshiftResultFormat

Methods

toText :: RedshiftResultFormat -> Text #

FromXML RedshiftResultFormat Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RedshiftResultFormat

Methods

parseXML :: [Node] -> Either String RedshiftResultFormat #

ToXML RedshiftResultFormat Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RedshiftResultFormat

Methods

toXML :: RedshiftResultFormat -> XML #

Generic RedshiftResultFormat Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RedshiftResultFormat

Associated Types

type Rep RedshiftResultFormat :: Type -> Type #

Methods

from :: RedshiftResultFormat -> Rep RedshiftResultFormat x #

to :: Rep RedshiftResultFormat x -> RedshiftResultFormat #

Read RedshiftResultFormat Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RedshiftResultFormat

Methods

readsPrec :: Int -> ReadS RedshiftResultFormat #

readList :: ReadS [RedshiftResultFormat] #

readPrec :: ReadPrec RedshiftResultFormat #

readListPrec :: ReadPrec [RedshiftResultFormat] #

Show RedshiftResultFormat Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RedshiftResultFormat

Methods

showsPrec :: Int -> RedshiftResultFormat -> ShowS #

show :: RedshiftResultFormat -> String #

showList :: [RedshiftResultFormat] -> ShowS #

NFData RedshiftResultFormat Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RedshiftResultFormat

Methods

rnf :: RedshiftResultFormat -> () #

Eq RedshiftResultFormat Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RedshiftResultFormat

Methods

(==) :: RedshiftResultFormat -> RedshiftResultFormat -> Bool #

(/=) :: RedshiftResultFormat -> RedshiftResultFormat -> Bool #

Ord RedshiftResultFormat Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RedshiftResultFormat

Methods

compare :: RedshiftResultFormat -> RedshiftResultFormat -> Ordering #

(<) :: RedshiftResultFormat -> RedshiftResultFormat -> Bool #

(<=) :: RedshiftResultFormat -> RedshiftResultFormat -> Bool #

(>) :: RedshiftResultFormat -> RedshiftResultFormat -> Bool #

(>=) :: RedshiftResultFormat -> RedshiftResultFormat -> Bool #

max :: RedshiftResultFormat -> RedshiftResultFormat -> RedshiftResultFormat #

min :: RedshiftResultFormat -> RedshiftResultFormat -> RedshiftResultFormat #

Hashable RedshiftResultFormat Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RedshiftResultFormat

Methods

hashWithSalt :: Int -> RedshiftResultFormat -> Int #

hash :: RedshiftResultFormat -> Int #

type Rep RedshiftResultFormat Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RedshiftResultFormat

type Rep RedshiftResultFormat = D1 ('MetaData "RedshiftResultFormat" "Amazonka.SageMaker.Types.RedshiftResultFormat" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'True) (C1 ('MetaCons "RedshiftResultFormat'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromRedshiftResultFormat") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

RepositoryAccessMode

newtype RepositoryAccessMode Source #

Constructors

RepositoryAccessMode' 

Fields

Bundled Patterns

pattern RepositoryAccessMode_Platform :: RepositoryAccessMode 
pattern RepositoryAccessMode_Vpc :: RepositoryAccessMode 

Instances

Instances details
FromJSON RepositoryAccessMode Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RepositoryAccessMode

Methods

parseJSON :: Value -> Parser RepositoryAccessMode #

parseJSONList :: Value -> Parser [RepositoryAccessMode] #

FromJSONKey RepositoryAccessMode Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RepositoryAccessMode

Methods

fromJSONKey :: FromJSONKeyFunction RepositoryAccessMode #

fromJSONKeyList :: FromJSONKeyFunction [RepositoryAccessMode] #

ToJSON RepositoryAccessMode Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RepositoryAccessMode

Methods

toJSON :: RepositoryAccessMode -> Value #

toEncoding :: RepositoryAccessMode -> Encoding #

toJSONList :: [RepositoryAccessMode] -> Value #

toEncodingList :: [RepositoryAccessMode] -> Encoding #

ToJSONKey RepositoryAccessMode Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RepositoryAccessMode

Methods

toJSONKey :: ToJSONKeyFunction RepositoryAccessMode #

toJSONKeyList :: ToJSONKeyFunction [RepositoryAccessMode] #

ToByteString RepositoryAccessMode Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RepositoryAccessMode

Methods

toBS :: RepositoryAccessMode -> ByteString #

ToHeader RepositoryAccessMode Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RepositoryAccessMode

Methods

toHeader :: HeaderName -> RepositoryAccessMode -> [Header] #

ToLog RepositoryAccessMode Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RepositoryAccessMode

Methods

build :: RepositoryAccessMode -> ByteStringBuilder #

ToQuery RepositoryAccessMode Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RepositoryAccessMode

Methods

toQuery :: RepositoryAccessMode -> QueryString #

FromText RepositoryAccessMode Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RepositoryAccessMode

Methods

fromText :: Text -> Either String RepositoryAccessMode #

ToText RepositoryAccessMode Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RepositoryAccessMode

Methods

toText :: RepositoryAccessMode -> Text #

FromXML RepositoryAccessMode Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RepositoryAccessMode

Methods

parseXML :: [Node] -> Either String RepositoryAccessMode #

ToXML RepositoryAccessMode Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RepositoryAccessMode

Methods

toXML :: RepositoryAccessMode -> XML #

Generic RepositoryAccessMode Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RepositoryAccessMode

Associated Types

type Rep RepositoryAccessMode :: Type -> Type #

Methods

from :: RepositoryAccessMode -> Rep RepositoryAccessMode x #

to :: Rep RepositoryAccessMode x -> RepositoryAccessMode #

Read RepositoryAccessMode Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RepositoryAccessMode

Methods

readsPrec :: Int -> ReadS RepositoryAccessMode #

readList :: ReadS [RepositoryAccessMode] #

readPrec :: ReadPrec RepositoryAccessMode #

readListPrec :: ReadPrec [RepositoryAccessMode] #

Show RepositoryAccessMode Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RepositoryAccessMode

Methods

showsPrec :: Int -> RepositoryAccessMode -> ShowS #

show :: RepositoryAccessMode -> String #

showList :: [RepositoryAccessMode] -> ShowS #

NFData RepositoryAccessMode Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RepositoryAccessMode

Methods

rnf :: RepositoryAccessMode -> () #

Eq RepositoryAccessMode Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RepositoryAccessMode

Methods

(==) :: RepositoryAccessMode -> RepositoryAccessMode -> Bool #

(/=) :: RepositoryAccessMode -> RepositoryAccessMode -> Bool #

Ord RepositoryAccessMode Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RepositoryAccessMode

Methods

compare :: RepositoryAccessMode -> RepositoryAccessMode -> Ordering #

(<) :: RepositoryAccessMode -> RepositoryAccessMode -> Bool #

(<=) :: RepositoryAccessMode -> RepositoryAccessMode -> Bool #

(>) :: RepositoryAccessMode -> RepositoryAccessMode -> Bool #

(>=) :: RepositoryAccessMode -> RepositoryAccessMode -> Bool #

max :: RepositoryAccessMode -> RepositoryAccessMode -> RepositoryAccessMode #

min :: RepositoryAccessMode -> RepositoryAccessMode -> RepositoryAccessMode #

Hashable RepositoryAccessMode Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RepositoryAccessMode

Methods

hashWithSalt :: Int -> RepositoryAccessMode -> Int #

hash :: RepositoryAccessMode -> Int #

type Rep RepositoryAccessMode Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RepositoryAccessMode

type Rep RepositoryAccessMode = D1 ('MetaData "RepositoryAccessMode" "Amazonka.SageMaker.Types.RepositoryAccessMode" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'True) (C1 ('MetaCons "RepositoryAccessMode'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromRepositoryAccessMode") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

ResourceType

newtype ResourceType Source #

Constructors

ResourceType' 

Fields

Bundled Patterns

pattern ResourceType_Endpoint :: ResourceType 
pattern ResourceType_Experiment :: ResourceType 
pattern ResourceType_ExperimentTrial :: ResourceType 
pattern ResourceType_ExperimentTrialComponent :: ResourceType 
pattern ResourceType_FeatureGroup :: ResourceType 
pattern ResourceType_FeatureMetadata :: ResourceType 
pattern ResourceType_HyperParameterTuningJob :: ResourceType 
pattern ResourceType_Model :: ResourceType 
pattern ResourceType_ModelCard :: ResourceType 
pattern ResourceType_ModelPackage :: ResourceType 
pattern ResourceType_ModelPackageGroup :: ResourceType 
pattern ResourceType_Pipeline :: ResourceType 
pattern ResourceType_PipelineExecution :: ResourceType 
pattern ResourceType_Project :: ResourceType 
pattern ResourceType_TrainingJob :: ResourceType 

Instances

Instances details
FromJSON ResourceType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ResourceType

Methods

parseJSON :: Value -> Parser ResourceType #

parseJSONList :: Value -> Parser [ResourceType] #

FromJSONKey ResourceType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ResourceType

Methods

fromJSONKey :: FromJSONKeyFunction ResourceType #

fromJSONKeyList :: FromJSONKeyFunction [ResourceType] #

ToJSON ResourceType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ResourceType

Methods

toJSON :: ResourceType -> Value #

toEncoding :: ResourceType -> Encoding #

toJSONList :: [ResourceType] -> Value #

toEncodingList :: [ResourceType] -> Encoding #

ToJSONKey ResourceType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ResourceType

Methods

toJSONKey :: ToJSONKeyFunction ResourceType #

toJSONKeyList :: ToJSONKeyFunction [ResourceType] #

ToByteString ResourceType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ResourceType

Methods

toBS :: ResourceType -> ByteString #

ToHeader ResourceType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ResourceType

Methods

toHeader :: HeaderName -> ResourceType -> [Header] #

ToLog ResourceType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ResourceType

Methods

build :: ResourceType -> ByteStringBuilder #

ToQuery ResourceType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ResourceType

Methods

toQuery :: ResourceType -> QueryString #

FromText ResourceType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ResourceType

Methods

fromText :: Text -> Either String ResourceType #

ToText ResourceType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ResourceType

Methods

toText :: ResourceType -> Text #

FromXML ResourceType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ResourceType

Methods

parseXML :: [Node] -> Either String ResourceType #

ToXML ResourceType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ResourceType

Methods

toXML :: ResourceType -> XML #

Generic ResourceType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ResourceType

Associated Types

type Rep ResourceType :: Type -> Type #

Methods

from :: ResourceType -> Rep ResourceType x #

to :: Rep ResourceType x -> ResourceType #

Read ResourceType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ResourceType

Methods

readsPrec :: Int -> ReadS ResourceType #

readList :: ReadS [ResourceType] #

readPrec :: ReadPrec ResourceType #

readListPrec :: ReadPrec [ResourceType] #

Show ResourceType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ResourceType

Methods

showsPrec :: Int -> ResourceType -> ShowS #

show :: ResourceType -> String #

showList :: [ResourceType] -> ShowS #

NFData ResourceType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ResourceType

Methods

rnf :: ResourceType -> () #

Eq ResourceType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ResourceType

Methods

(==) :: ResourceType -> ResourceType -> Bool #

(/=) :: ResourceType -> ResourceType -> Bool #

Ord ResourceType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ResourceType

Methods

compare :: ResourceType -> ResourceType -> Ordering #

(<) :: ResourceType -> ResourceType -> Bool #

(<=) :: ResourceType -> ResourceType -> Bool #

(>) :: ResourceType -> ResourceType -> Bool #

(>=) :: ResourceType -> ResourceType -> Bool #

max :: ResourceType -> ResourceType -> ResourceType #

min :: ResourceType -> ResourceType -> ResourceType #

Hashable ResourceType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ResourceType

Methods

hashWithSalt :: Int -> ResourceType -> Int #

hash :: ResourceType -> Int #

type Rep ResourceType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ResourceType

type Rep ResourceType = D1 ('MetaData "ResourceType" "Amazonka.SageMaker.Types.ResourceType" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'True) (C1 ('MetaCons "ResourceType'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromResourceType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

RetentionType

newtype RetentionType Source #

Constructors

RetentionType' 

Fields

Bundled Patterns

pattern RetentionType_Delete :: RetentionType 
pattern RetentionType_Retain :: RetentionType 

Instances

Instances details
FromJSON RetentionType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RetentionType

Methods

parseJSON :: Value -> Parser RetentionType #

parseJSONList :: Value -> Parser [RetentionType] #

FromJSONKey RetentionType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RetentionType

Methods

fromJSONKey :: FromJSONKeyFunction RetentionType #

fromJSONKeyList :: FromJSONKeyFunction [RetentionType] #

ToJSON RetentionType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RetentionType

Methods

toJSON :: RetentionType -> Value #

toEncoding :: RetentionType -> Encoding #

toJSONList :: [RetentionType] -> Value #

toEncodingList :: [RetentionType] -> Encoding #

ToJSONKey RetentionType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RetentionType

Methods

toJSONKey :: ToJSONKeyFunction RetentionType #

toJSONKeyList :: ToJSONKeyFunction [RetentionType] #

ToByteString RetentionType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RetentionType

Methods

toBS :: RetentionType -> ByteString #

ToHeader RetentionType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RetentionType

Methods

toHeader :: HeaderName -> RetentionType -> [Header] #

ToLog RetentionType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RetentionType

Methods

build :: RetentionType -> ByteStringBuilder #

ToQuery RetentionType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RetentionType

Methods

toQuery :: RetentionType -> QueryString #

FromText RetentionType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RetentionType

Methods

fromText :: Text -> Either String RetentionType #

ToText RetentionType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RetentionType

Methods

toText :: RetentionType -> Text #

FromXML RetentionType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RetentionType

Methods

parseXML :: [Node] -> Either String RetentionType #

ToXML RetentionType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RetentionType

Methods

toXML :: RetentionType -> XML #

Generic RetentionType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RetentionType

Associated Types

type Rep RetentionType :: Type -> Type #

Methods

from :: RetentionType -> Rep RetentionType x #

to :: Rep RetentionType x -> RetentionType #

Read RetentionType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RetentionType

Methods

readsPrec :: Int -> ReadS RetentionType #

readList :: ReadS [RetentionType] #

readPrec :: ReadPrec RetentionType #

readListPrec :: ReadPrec [RetentionType] #

Show RetentionType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RetentionType

Methods

showsPrec :: Int -> RetentionType -> ShowS #

show :: RetentionType -> String #

showList :: [RetentionType] -> ShowS #

NFData RetentionType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RetentionType

Methods

rnf :: RetentionType -> () #

Eq RetentionType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RetentionType

Methods

(==) :: RetentionType -> RetentionType -> Bool #

(/=) :: RetentionType -> RetentionType -> Bool #

Ord RetentionType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RetentionType

Methods

compare :: RetentionType -> RetentionType -> Ordering #

(<) :: RetentionType -> RetentionType -> Bool #

(<=) :: RetentionType -> RetentionType -> Bool #

(>) :: RetentionType -> RetentionType -> Bool #

(>=) :: RetentionType -> RetentionType -> Bool #

max :: RetentionType -> RetentionType -> RetentionType #

min :: RetentionType -> RetentionType -> RetentionType #

Hashable RetentionType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RetentionType

Methods

hashWithSalt :: Int -> RetentionType -> Int #

hash :: RetentionType -> Int #

type Rep RetentionType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RetentionType

type Rep RetentionType = D1 ('MetaData "RetentionType" "Amazonka.SageMaker.Types.RetentionType" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'True) (C1 ('MetaCons "RetentionType'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromRetentionType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

RootAccess

newtype RootAccess Source #

Constructors

RootAccess' 

Fields

Bundled Patterns

pattern RootAccess_Disabled :: RootAccess 
pattern RootAccess_Enabled :: RootAccess 

Instances

Instances details
FromJSON RootAccess Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RootAccess

Methods

parseJSON :: Value -> Parser RootAccess #

parseJSONList :: Value -> Parser [RootAccess] #

FromJSONKey RootAccess Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RootAccess

Methods

fromJSONKey :: FromJSONKeyFunction RootAccess #

fromJSONKeyList :: FromJSONKeyFunction [RootAccess] #

ToJSON RootAccess Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RootAccess

Methods

toJSON :: RootAccess -> Value #

toEncoding :: RootAccess -> Encoding #

toJSONList :: [RootAccess] -> Value #

toEncodingList :: [RootAccess] -> Encoding #

ToJSONKey RootAccess Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RootAccess

Methods

toJSONKey :: ToJSONKeyFunction RootAccess #

toJSONKeyList :: ToJSONKeyFunction [RootAccess] #

ToByteString RootAccess Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RootAccess

Methods

toBS :: RootAccess -> ByteString #

ToHeader RootAccess Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RootAccess

Methods

toHeader :: HeaderName -> RootAccess -> [Header] #

ToLog RootAccess Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RootAccess

Methods

build :: RootAccess -> ByteStringBuilder #

ToQuery RootAccess Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RootAccess

Methods

toQuery :: RootAccess -> QueryString #

FromText RootAccess Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RootAccess

Methods

fromText :: Text -> Either String RootAccess #

ToText RootAccess Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RootAccess

Methods

toText :: RootAccess -> Text #

FromXML RootAccess Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RootAccess

Methods

parseXML :: [Node] -> Either String RootAccess #

ToXML RootAccess Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RootAccess

Methods

toXML :: RootAccess -> XML #

Generic RootAccess Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RootAccess

Associated Types

type Rep RootAccess :: Type -> Type #

Methods

from :: RootAccess -> Rep RootAccess x #

to :: Rep RootAccess x -> RootAccess #

Read RootAccess Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RootAccess

Methods

readsPrec :: Int -> ReadS RootAccess #

readList :: ReadS [RootAccess] #

readPrec :: ReadPrec RootAccess #

readListPrec :: ReadPrec [RootAccess] #

Show RootAccess Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RootAccess

Methods

showsPrec :: Int -> RootAccess -> ShowS #

show :: RootAccess -> String #

showList :: [RootAccess] -> ShowS #

NFData RootAccess Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RootAccess

Methods

rnf :: RootAccess -> () #

Eq RootAccess Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RootAccess

Methods

(==) :: RootAccess -> RootAccess -> Bool #

(/=) :: RootAccess -> RootAccess -> Bool #

Ord RootAccess Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RootAccess

Methods

compare :: RootAccess -> RootAccess -> Ordering #

(<) :: RootAccess -> RootAccess -> Bool #

(<=) :: RootAccess -> RootAccess -> Bool #

(>) :: RootAccess -> RootAccess -> Bool #

(>=) :: RootAccess -> RootAccess -> Bool #

max :: RootAccess -> RootAccess -> RootAccess #

min :: RootAccess -> RootAccess -> RootAccess #

Hashable RootAccess Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RootAccess

Methods

hashWithSalt :: Int -> RootAccess -> Int #

hash :: RootAccess -> Int #

type Rep RootAccess Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RootAccess

type Rep RootAccess = D1 ('MetaData "RootAccess" "Amazonka.SageMaker.Types.RootAccess" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'True) (C1 ('MetaCons "RootAccess'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromRootAccess") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

RuleEvaluationStatus

newtype RuleEvaluationStatus Source #

Constructors

RuleEvaluationStatus' 

Fields

Bundled Patterns

pattern RuleEvaluationStatus_Error :: RuleEvaluationStatus 
pattern RuleEvaluationStatus_InProgress :: RuleEvaluationStatus 
pattern RuleEvaluationStatus_IssuesFound :: RuleEvaluationStatus 
pattern RuleEvaluationStatus_NoIssuesFound :: RuleEvaluationStatus 
pattern RuleEvaluationStatus_Stopped :: RuleEvaluationStatus 
pattern RuleEvaluationStatus_Stopping :: RuleEvaluationStatus 

Instances

Instances details
FromJSON RuleEvaluationStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RuleEvaluationStatus

Methods

parseJSON :: Value -> Parser RuleEvaluationStatus #

parseJSONList :: Value -> Parser [RuleEvaluationStatus] #

FromJSONKey RuleEvaluationStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RuleEvaluationStatus

Methods

fromJSONKey :: FromJSONKeyFunction RuleEvaluationStatus #

fromJSONKeyList :: FromJSONKeyFunction [RuleEvaluationStatus] #

ToJSON RuleEvaluationStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RuleEvaluationStatus

Methods

toJSON :: RuleEvaluationStatus -> Value #

toEncoding :: RuleEvaluationStatus -> Encoding #

toJSONList :: [RuleEvaluationStatus] -> Value #

toEncodingList :: [RuleEvaluationStatus] -> Encoding #

ToJSONKey RuleEvaluationStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RuleEvaluationStatus

Methods

toJSONKey :: ToJSONKeyFunction RuleEvaluationStatus #

toJSONKeyList :: ToJSONKeyFunction [RuleEvaluationStatus] #

ToByteString RuleEvaluationStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RuleEvaluationStatus

Methods

toBS :: RuleEvaluationStatus -> ByteString #

ToHeader RuleEvaluationStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RuleEvaluationStatus

Methods

toHeader :: HeaderName -> RuleEvaluationStatus -> [Header] #

ToLog RuleEvaluationStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RuleEvaluationStatus

Methods

build :: RuleEvaluationStatus -> ByteStringBuilder #

ToQuery RuleEvaluationStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RuleEvaluationStatus

Methods

toQuery :: RuleEvaluationStatus -> QueryString #

FromText RuleEvaluationStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RuleEvaluationStatus

Methods

fromText :: Text -> Either String RuleEvaluationStatus #

ToText RuleEvaluationStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RuleEvaluationStatus

Methods

toText :: RuleEvaluationStatus -> Text #

FromXML RuleEvaluationStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RuleEvaluationStatus

Methods

parseXML :: [Node] -> Either String RuleEvaluationStatus #

ToXML RuleEvaluationStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RuleEvaluationStatus

Methods

toXML :: RuleEvaluationStatus -> XML #

Generic RuleEvaluationStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RuleEvaluationStatus

Associated Types

type Rep RuleEvaluationStatus :: Type -> Type #

Methods

from :: RuleEvaluationStatus -> Rep RuleEvaluationStatus x #

to :: Rep RuleEvaluationStatus x -> RuleEvaluationStatus #

Read RuleEvaluationStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RuleEvaluationStatus

Methods

readsPrec :: Int -> ReadS RuleEvaluationStatus #

readList :: ReadS [RuleEvaluationStatus] #

readPrec :: ReadPrec RuleEvaluationStatus #

readListPrec :: ReadPrec [RuleEvaluationStatus] #

Show RuleEvaluationStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RuleEvaluationStatus

Methods

showsPrec :: Int -> RuleEvaluationStatus -> ShowS #

show :: RuleEvaluationStatus -> String #

showList :: [RuleEvaluationStatus] -> ShowS #

NFData RuleEvaluationStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RuleEvaluationStatus

Methods

rnf :: RuleEvaluationStatus -> () #

Eq RuleEvaluationStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RuleEvaluationStatus

Methods

(==) :: RuleEvaluationStatus -> RuleEvaluationStatus -> Bool #

(/=) :: RuleEvaluationStatus -> RuleEvaluationStatus -> Bool #

Ord RuleEvaluationStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RuleEvaluationStatus

Methods

compare :: RuleEvaluationStatus -> RuleEvaluationStatus -> Ordering #

(<) :: RuleEvaluationStatus -> RuleEvaluationStatus -> Bool #

(<=) :: RuleEvaluationStatus -> RuleEvaluationStatus -> Bool #

(>) :: RuleEvaluationStatus -> RuleEvaluationStatus -> Bool #

(>=) :: RuleEvaluationStatus -> RuleEvaluationStatus -> Bool #

max :: RuleEvaluationStatus -> RuleEvaluationStatus -> RuleEvaluationStatus #

min :: RuleEvaluationStatus -> RuleEvaluationStatus -> RuleEvaluationStatus #

Hashable RuleEvaluationStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RuleEvaluationStatus

Methods

hashWithSalt :: Int -> RuleEvaluationStatus -> Int #

hash :: RuleEvaluationStatus -> Int #

type Rep RuleEvaluationStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RuleEvaluationStatus

type Rep RuleEvaluationStatus = D1 ('MetaData "RuleEvaluationStatus" "Amazonka.SageMaker.Types.RuleEvaluationStatus" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'True) (C1 ('MetaCons "RuleEvaluationStatus'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromRuleEvaluationStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

S3DataDistribution

newtype S3DataDistribution Source #

Constructors

S3DataDistribution' 

Fields

Bundled Patterns

pattern S3DataDistribution_FullyReplicated :: S3DataDistribution 
pattern S3DataDistribution_ShardedByS3Key :: S3DataDistribution 

Instances

Instances details
FromJSON S3DataDistribution Source # 
Instance details

Defined in Amazonka.SageMaker.Types.S3DataDistribution

Methods

parseJSON :: Value -> Parser S3DataDistribution #

parseJSONList :: Value -> Parser [S3DataDistribution] #

FromJSONKey S3DataDistribution Source # 
Instance details

Defined in Amazonka.SageMaker.Types.S3DataDistribution

Methods

fromJSONKey :: FromJSONKeyFunction S3DataDistribution #

fromJSONKeyList :: FromJSONKeyFunction [S3DataDistribution] #

ToJSON S3DataDistribution Source # 
Instance details

Defined in Amazonka.SageMaker.Types.S3DataDistribution

Methods

toJSON :: S3DataDistribution -> Value #

toEncoding :: S3DataDistribution -> Encoding #

toJSONList :: [S3DataDistribution] -> Value #

toEncodingList :: [S3DataDistribution] -> Encoding #

ToJSONKey S3DataDistribution Source # 
Instance details

Defined in Amazonka.SageMaker.Types.S3DataDistribution

Methods

toJSONKey :: ToJSONKeyFunction S3DataDistribution #

toJSONKeyList :: ToJSONKeyFunction [S3DataDistribution] #

ToByteString S3DataDistribution Source # 
Instance details

Defined in Amazonka.SageMaker.Types.S3DataDistribution

Methods

toBS :: S3DataDistribution -> ByteString #

ToHeader S3DataDistribution Source # 
Instance details

Defined in Amazonka.SageMaker.Types.S3DataDistribution

Methods

toHeader :: HeaderName -> S3DataDistribution -> [Header] #

ToLog S3DataDistribution Source # 
Instance details

Defined in Amazonka.SageMaker.Types.S3DataDistribution

Methods

build :: S3DataDistribution -> ByteStringBuilder #

ToQuery S3DataDistribution Source # 
Instance details

Defined in Amazonka.SageMaker.Types.S3DataDistribution

Methods

toQuery :: S3DataDistribution -> QueryString #

FromText S3DataDistribution Source # 
Instance details

Defined in Amazonka.SageMaker.Types.S3DataDistribution

Methods

fromText :: Text -> Either String S3DataDistribution #

ToText S3DataDistribution Source # 
Instance details

Defined in Amazonka.SageMaker.Types.S3DataDistribution

Methods

toText :: S3DataDistribution -> Text #

FromXML S3DataDistribution Source # 
Instance details

Defined in Amazonka.SageMaker.Types.S3DataDistribution

Methods

parseXML :: [Node] -> Either String S3DataDistribution #

ToXML S3DataDistribution Source # 
Instance details

Defined in Amazonka.SageMaker.Types.S3DataDistribution

Methods

toXML :: S3DataDistribution -> XML #

Generic S3DataDistribution Source # 
Instance details

Defined in Amazonka.SageMaker.Types.S3DataDistribution

Associated Types

type Rep S3DataDistribution :: Type -> Type #

Methods

from :: S3DataDistribution -> Rep S3DataDistribution x #

to :: Rep S3DataDistribution x -> S3DataDistribution #

Read S3DataDistribution Source # 
Instance details

Defined in Amazonka.SageMaker.Types.S3DataDistribution

Methods

readsPrec :: Int -> ReadS S3DataDistribution #

readList :: ReadS [S3DataDistribution] #

readPrec :: ReadPrec S3DataDistribution #

readListPrec :: ReadPrec [S3DataDistribution] #

Show S3DataDistribution Source # 
Instance details

Defined in Amazonka.SageMaker.Types.S3DataDistribution

Methods

showsPrec :: Int -> S3DataDistribution -> ShowS #

show :: S3DataDistribution -> String #

showList :: [S3DataDistribution] -> ShowS #

NFData S3DataDistribution Source # 
Instance details

Defined in Amazonka.SageMaker.Types.S3DataDistribution

Methods

rnf :: S3DataDistribution -> () #

Eq S3DataDistribution Source # 
Instance details

Defined in Amazonka.SageMaker.Types.S3DataDistribution

Methods

(==) :: S3DataDistribution -> S3DataDistribution -> Bool #

(/=) :: S3DataDistribution -> S3DataDistribution -> Bool #

Ord S3DataDistribution Source # 
Instance details

Defined in Amazonka.SageMaker.Types.S3DataDistribution

Methods

compare :: S3DataDistribution -> S3DataDistribution -> Ordering #

(<) :: S3DataDistribution -> S3DataDistribution -> Bool #

(<=) :: S3DataDistribution -> S3DataDistribution -> Bool #

(>) :: S3DataDistribution -> S3DataDistribution -> Bool #

(>=) :: S3DataDistribution -> S3DataDistribution -> Bool #

max :: S3DataDistribution -> S3DataDistribution -> S3DataDistribution #

min :: S3DataDistribution -> S3DataDistribution -> S3DataDistribution #

Hashable S3DataDistribution Source # 
Instance details

Defined in Amazonka.SageMaker.Types.S3DataDistribution

Methods

hashWithSalt :: Int -> S3DataDistribution -> Int #

hash :: S3DataDistribution -> Int #

type Rep S3DataDistribution Source # 
Instance details

Defined in Amazonka.SageMaker.Types.S3DataDistribution

type Rep S3DataDistribution = D1 ('MetaData "S3DataDistribution" "Amazonka.SageMaker.Types.S3DataDistribution" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'True) (C1 ('MetaCons "S3DataDistribution'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromS3DataDistribution") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

S3DataType

newtype S3DataType Source #

Constructors

S3DataType' 

Fields

Bundled Patterns

pattern S3DataType_AugmentedManifestFile :: S3DataType 
pattern S3DataType_ManifestFile :: S3DataType 
pattern S3DataType_S3Prefix :: S3DataType 

Instances

Instances details
FromJSON S3DataType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.S3DataType

Methods

parseJSON :: Value -> Parser S3DataType #

parseJSONList :: Value -> Parser [S3DataType] #

FromJSONKey S3DataType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.S3DataType

Methods

fromJSONKey :: FromJSONKeyFunction S3DataType #

fromJSONKeyList :: FromJSONKeyFunction [S3DataType] #

ToJSON S3DataType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.S3DataType

Methods

toJSON :: S3DataType -> Value #

toEncoding :: S3DataType -> Encoding #

toJSONList :: [S3DataType] -> Value #

toEncodingList :: [S3DataType] -> Encoding #

ToJSONKey S3DataType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.S3DataType

Methods

toJSONKey :: ToJSONKeyFunction S3DataType #

toJSONKeyList :: ToJSONKeyFunction [S3DataType] #

ToByteString S3DataType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.S3DataType

Methods

toBS :: S3DataType -> ByteString #

ToHeader S3DataType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.S3DataType

Methods

toHeader :: HeaderName -> S3DataType -> [Header] #

ToLog S3DataType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.S3DataType

Methods

build :: S3DataType -> ByteStringBuilder #

ToQuery S3DataType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.S3DataType

Methods

toQuery :: S3DataType -> QueryString #

FromText S3DataType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.S3DataType

Methods

fromText :: Text -> Either String S3DataType #

ToText S3DataType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.S3DataType

Methods

toText :: S3DataType -> Text #

FromXML S3DataType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.S3DataType

Methods

parseXML :: [Node] -> Either String S3DataType #

ToXML S3DataType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.S3DataType

Methods

toXML :: S3DataType -> XML #

Generic S3DataType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.S3DataType

Associated Types

type Rep S3DataType :: Type -> Type #

Methods

from :: S3DataType -> Rep S3DataType x #

to :: Rep S3DataType x -> S3DataType #

Read S3DataType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.S3DataType

Methods

readsPrec :: Int -> ReadS S3DataType #

readList :: ReadS [S3DataType] #

readPrec :: ReadPrec S3DataType #

readListPrec :: ReadPrec [S3DataType] #

Show S3DataType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.S3DataType

Methods

showsPrec :: Int -> S3DataType -> ShowS #

show :: S3DataType -> String #

showList :: [S3DataType] -> ShowS #

NFData S3DataType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.S3DataType

Methods

rnf :: S3DataType -> () #

Eq S3DataType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.S3DataType

Methods

(==) :: S3DataType -> S3DataType -> Bool #

(/=) :: S3DataType -> S3DataType -> Bool #

Ord S3DataType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.S3DataType

Methods

compare :: S3DataType -> S3DataType -> Ordering #

(<) :: S3DataType -> S3DataType -> Bool #

(<=) :: S3DataType -> S3DataType -> Bool #

(>) :: S3DataType -> S3DataType -> Bool #

(>=) :: S3DataType -> S3DataType -> Bool #

max :: S3DataType -> S3DataType -> S3DataType #

min :: S3DataType -> S3DataType -> S3DataType #

Hashable S3DataType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.S3DataType

Methods

hashWithSalt :: Int -> S3DataType -> Int #

hash :: S3DataType -> Int #

type Rep S3DataType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.S3DataType

type Rep S3DataType = D1 ('MetaData "S3DataType" "Amazonka.SageMaker.Types.S3DataType" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'True) (C1 ('MetaCons "S3DataType'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromS3DataType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

SagemakerServicecatalogStatus

newtype SagemakerServicecatalogStatus Source #

Constructors

SagemakerServicecatalogStatus' 

Fields

Bundled Patterns

pattern SagemakerServicecatalogStatus_Disabled :: SagemakerServicecatalogStatus 
pattern SagemakerServicecatalogStatus_Enabled :: SagemakerServicecatalogStatus 

Instances

Instances details
FromJSON SagemakerServicecatalogStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SagemakerServicecatalogStatus

Methods

parseJSON :: Value -> Parser SagemakerServicecatalogStatus #

parseJSONList :: Value -> Parser [SagemakerServicecatalogStatus] #

FromJSONKey SagemakerServicecatalogStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SagemakerServicecatalogStatus

Methods

fromJSONKey :: FromJSONKeyFunction SagemakerServicecatalogStatus #

fromJSONKeyList :: FromJSONKeyFunction [SagemakerServicecatalogStatus] #

ToJSON SagemakerServicecatalogStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SagemakerServicecatalogStatus

Methods

toJSON :: SagemakerServicecatalogStatus -> Value #

toEncoding :: SagemakerServicecatalogStatus -> Encoding #

toJSONList :: [SagemakerServicecatalogStatus] -> Value #

toEncodingList :: [SagemakerServicecatalogStatus] -> Encoding #

ToJSONKey SagemakerServicecatalogStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SagemakerServicecatalogStatus

Methods

toJSONKey :: ToJSONKeyFunction SagemakerServicecatalogStatus #

toJSONKeyList :: ToJSONKeyFunction [SagemakerServicecatalogStatus] #

ToByteString SagemakerServicecatalogStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SagemakerServicecatalogStatus

Methods

toBS :: SagemakerServicecatalogStatus -> ByteString #

ToHeader SagemakerServicecatalogStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SagemakerServicecatalogStatus

Methods

toHeader :: HeaderName -> SagemakerServicecatalogStatus -> [Header] #

ToLog SagemakerServicecatalogStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SagemakerServicecatalogStatus

Methods

build :: SagemakerServicecatalogStatus -> ByteStringBuilder #

ToQuery SagemakerServicecatalogStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SagemakerServicecatalogStatus

Methods

toQuery :: SagemakerServicecatalogStatus -> QueryString #

FromText SagemakerServicecatalogStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SagemakerServicecatalogStatus

Methods

fromText :: Text -> Either String SagemakerServicecatalogStatus #

ToText SagemakerServicecatalogStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SagemakerServicecatalogStatus

Methods

toText :: SagemakerServicecatalogStatus -> Text #

FromXML SagemakerServicecatalogStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SagemakerServicecatalogStatus

Methods

parseXML :: [Node] -> Either String SagemakerServicecatalogStatus #

ToXML SagemakerServicecatalogStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SagemakerServicecatalogStatus

Methods

toXML :: SagemakerServicecatalogStatus -> XML #

Generic SagemakerServicecatalogStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SagemakerServicecatalogStatus

Associated Types

type Rep SagemakerServicecatalogStatus :: Type -> Type #

Methods

from :: SagemakerServicecatalogStatus -> Rep SagemakerServicecatalogStatus x #

to :: Rep SagemakerServicecatalogStatus x -> SagemakerServicecatalogStatus #

Read SagemakerServicecatalogStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SagemakerServicecatalogStatus

Methods

readsPrec :: Int -> ReadS SagemakerServicecatalogStatus #

readList :: ReadS [SagemakerServicecatalogStatus] #

readPrec :: ReadPrec SagemakerServicecatalogStatus #

readListPrec :: ReadPrec [SagemakerServicecatalogStatus] #

Show SagemakerServicecatalogStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SagemakerServicecatalogStatus

Methods

showsPrec :: Int -> SagemakerServicecatalogStatus -> ShowS #

show :: SagemakerServicecatalogStatus -> String #

showList :: [SagemakerServicecatalogStatus] -> ShowS #

NFData SagemakerServicecatalogStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SagemakerServicecatalogStatus

Methods

rnf :: SagemakerServicecatalogStatus -> () #

Eq SagemakerServicecatalogStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SagemakerServicecatalogStatus

Methods

(==) :: SagemakerServicecatalogStatus -> SagemakerServicecatalogStatus -> Bool #

(/=) :: SagemakerServicecatalogStatus -> SagemakerServicecatalogStatus -> Bool #

Ord SagemakerServicecatalogStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SagemakerServicecatalogStatus

Methods

compare :: SagemakerServicecatalogStatus -> SagemakerServicecatalogStatus -> Ordering #

(<) :: SagemakerServicecatalogStatus -> SagemakerServicecatalogStatus -> Bool #

(<=) :: SagemakerServicecatalogStatus -> SagemakerServicecatalogStatus -> Bool #

(>) :: SagemakerServicecatalogStatus -> SagemakerServicecatalogStatus -> Bool #

(>=) :: SagemakerServicecatalogStatus -> SagemakerServicecatalogStatus -> Bool #

max :: SagemakerServicecatalogStatus -> SagemakerServicecatalogStatus -> SagemakerServicecatalogStatus #

min :: SagemakerServicecatalogStatus -> SagemakerServicecatalogStatus -> SagemakerServicecatalogStatus #

Hashable SagemakerServicecatalogStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SagemakerServicecatalogStatus

Methods

hashWithSalt :: Int -> SagemakerServicecatalogStatus -> Int #

hash :: SagemakerServicecatalogStatus -> Int #

type Rep SagemakerServicecatalogStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SagemakerServicecatalogStatus

type Rep SagemakerServicecatalogStatus = D1 ('MetaData "SagemakerServicecatalogStatus" "Amazonka.SageMaker.Types.SagemakerServicecatalogStatus" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'True) (C1 ('MetaCons "SagemakerServicecatalogStatus'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromSagemakerServicecatalogStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

ScheduleStatus

newtype ScheduleStatus Source #

Constructors

ScheduleStatus' 

Fields

Bundled Patterns

pattern ScheduleStatus_Failed :: ScheduleStatus 
pattern ScheduleStatus_Pending :: ScheduleStatus 
pattern ScheduleStatus_Scheduled :: ScheduleStatus 
pattern ScheduleStatus_Stopped :: ScheduleStatus 

Instances

Instances details
FromJSON ScheduleStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ScheduleStatus

Methods

parseJSON :: Value -> Parser ScheduleStatus #

parseJSONList :: Value -> Parser [ScheduleStatus] #

FromJSONKey ScheduleStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ScheduleStatus

Methods

fromJSONKey :: FromJSONKeyFunction ScheduleStatus #

fromJSONKeyList :: FromJSONKeyFunction [ScheduleStatus] #

ToJSON ScheduleStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ScheduleStatus

Methods

toJSON :: ScheduleStatus -> Value #

toEncoding :: ScheduleStatus -> Encoding #

toJSONList :: [ScheduleStatus] -> Value #

toEncodingList :: [ScheduleStatus] -> Encoding #

ToJSONKey ScheduleStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ScheduleStatus

Methods

toJSONKey :: ToJSONKeyFunction ScheduleStatus #

toJSONKeyList :: ToJSONKeyFunction [ScheduleStatus] #

ToByteString ScheduleStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ScheduleStatus

Methods

toBS :: ScheduleStatus -> ByteString #

ToHeader ScheduleStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ScheduleStatus

Methods

toHeader :: HeaderName -> ScheduleStatus -> [Header] #

ToLog ScheduleStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ScheduleStatus

Methods

build :: ScheduleStatus -> ByteStringBuilder #

ToQuery ScheduleStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ScheduleStatus

Methods

toQuery :: ScheduleStatus -> QueryString #

FromText ScheduleStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ScheduleStatus

Methods

fromText :: Text -> Either String ScheduleStatus #

ToText ScheduleStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ScheduleStatus

Methods

toText :: ScheduleStatus -> Text #

FromXML ScheduleStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ScheduleStatus

Methods

parseXML :: [Node] -> Either String ScheduleStatus #

ToXML ScheduleStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ScheduleStatus

Methods

toXML :: ScheduleStatus -> XML #

Generic ScheduleStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ScheduleStatus

Associated Types

type Rep ScheduleStatus :: Type -> Type #

Methods

from :: ScheduleStatus -> Rep ScheduleStatus x #

to :: Rep ScheduleStatus x -> ScheduleStatus #

Read ScheduleStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ScheduleStatus

Methods

readsPrec :: Int -> ReadS ScheduleStatus #

readList :: ReadS [ScheduleStatus] #

readPrec :: ReadPrec ScheduleStatus #

readListPrec :: ReadPrec [ScheduleStatus] #

Show ScheduleStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ScheduleStatus

Methods

showsPrec :: Int -> ScheduleStatus -> ShowS #

show :: ScheduleStatus -> String #

showList :: [ScheduleStatus] -> ShowS #

NFData ScheduleStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ScheduleStatus

Methods

rnf :: ScheduleStatus -> () #

Eq ScheduleStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ScheduleStatus

Methods

(==) :: ScheduleStatus -> ScheduleStatus -> Bool #

(/=) :: ScheduleStatus -> ScheduleStatus -> Bool #

Ord ScheduleStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ScheduleStatus

Methods

compare :: ScheduleStatus -> ScheduleStatus -> Ordering #

(<) :: ScheduleStatus -> ScheduleStatus -> Bool #

(<=) :: ScheduleStatus -> ScheduleStatus -> Bool #

(>) :: ScheduleStatus -> ScheduleStatus -> Bool #

(>=) :: ScheduleStatus -> ScheduleStatus -> Bool #

max :: ScheduleStatus -> ScheduleStatus -> ScheduleStatus #

min :: ScheduleStatus -> ScheduleStatus -> ScheduleStatus #

Hashable ScheduleStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ScheduleStatus

Methods

hashWithSalt :: Int -> ScheduleStatus -> Int #

hash :: ScheduleStatus -> Int #

type Rep ScheduleStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ScheduleStatus

type Rep ScheduleStatus = D1 ('MetaData "ScheduleStatus" "Amazonka.SageMaker.Types.ScheduleStatus" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'True) (C1 ('MetaCons "ScheduleStatus'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromScheduleStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

SearchSortOrder

newtype SearchSortOrder Source #

Constructors

SearchSortOrder' 

Fields

Bundled Patterns

pattern SearchSortOrder_Ascending :: SearchSortOrder 
pattern SearchSortOrder_Descending :: SearchSortOrder 

Instances

Instances details
FromJSON SearchSortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SearchSortOrder

Methods

parseJSON :: Value -> Parser SearchSortOrder #

parseJSONList :: Value -> Parser [SearchSortOrder] #

FromJSONKey SearchSortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SearchSortOrder

Methods

fromJSONKey :: FromJSONKeyFunction SearchSortOrder #

fromJSONKeyList :: FromJSONKeyFunction [SearchSortOrder] #

ToJSON SearchSortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SearchSortOrder

Methods

toJSON :: SearchSortOrder -> Value #

toEncoding :: SearchSortOrder -> Encoding #

toJSONList :: [SearchSortOrder] -> Value #

toEncodingList :: [SearchSortOrder] -> Encoding #

ToJSONKey SearchSortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SearchSortOrder

Methods

toJSONKey :: ToJSONKeyFunction SearchSortOrder #

toJSONKeyList :: ToJSONKeyFunction [SearchSortOrder] #

ToByteString SearchSortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SearchSortOrder

Methods

toBS :: SearchSortOrder -> ByteString #

ToHeader SearchSortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SearchSortOrder

Methods

toHeader :: HeaderName -> SearchSortOrder -> [Header] #

ToLog SearchSortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SearchSortOrder

Methods

build :: SearchSortOrder -> ByteStringBuilder #

ToQuery SearchSortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SearchSortOrder

Methods

toQuery :: SearchSortOrder -> QueryString #

FromText SearchSortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SearchSortOrder

Methods

fromText :: Text -> Either String SearchSortOrder #

ToText SearchSortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SearchSortOrder

Methods

toText :: SearchSortOrder -> Text #

FromXML SearchSortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SearchSortOrder

Methods

parseXML :: [Node] -> Either String SearchSortOrder #

ToXML SearchSortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SearchSortOrder

Methods

toXML :: SearchSortOrder -> XML #

Generic SearchSortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SearchSortOrder

Associated Types

type Rep SearchSortOrder :: Type -> Type #

Methods

from :: SearchSortOrder -> Rep SearchSortOrder x #

to :: Rep SearchSortOrder x -> SearchSortOrder #

Read SearchSortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SearchSortOrder

Methods

readsPrec :: Int -> ReadS SearchSortOrder #

readList :: ReadS [SearchSortOrder] #

readPrec :: ReadPrec SearchSortOrder #

readListPrec :: ReadPrec [SearchSortOrder] #

Show SearchSortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SearchSortOrder

Methods

showsPrec :: Int -> SearchSortOrder -> ShowS #

show :: SearchSortOrder -> String #

showList :: [SearchSortOrder] -> ShowS #

NFData SearchSortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SearchSortOrder

Methods

rnf :: SearchSortOrder -> () #

Eq SearchSortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SearchSortOrder

Methods

(==) :: SearchSortOrder -> SearchSortOrder -> Bool #

(/=) :: SearchSortOrder -> SearchSortOrder -> Bool #

Ord SearchSortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SearchSortOrder

Methods

compare :: SearchSortOrder -> SearchSortOrder -> Ordering #

(<) :: SearchSortOrder -> SearchSortOrder -> Bool #

(<=) :: SearchSortOrder -> SearchSortOrder -> Bool #

(>) :: SearchSortOrder -> SearchSortOrder -> Bool #

(>=) :: SearchSortOrder -> SearchSortOrder -> Bool #

max :: SearchSortOrder -> SearchSortOrder -> SearchSortOrder #

min :: SearchSortOrder -> SearchSortOrder -> SearchSortOrder #

Hashable SearchSortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SearchSortOrder

Methods

hashWithSalt :: Int -> SearchSortOrder -> Int #

hash :: SearchSortOrder -> Int #

type Rep SearchSortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SearchSortOrder

type Rep SearchSortOrder = D1 ('MetaData "SearchSortOrder" "Amazonka.SageMaker.Types.SearchSortOrder" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'True) (C1 ('MetaCons "SearchSortOrder'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromSearchSortOrder") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

SecondaryStatus

newtype SecondaryStatus Source #

Constructors

SecondaryStatus' 

Fields

Bundled Patterns

pattern SecondaryStatus_Completed :: SecondaryStatus 
pattern SecondaryStatus_Downloading :: SecondaryStatus 
pattern SecondaryStatus_DownloadingTrainingImage :: SecondaryStatus 
pattern SecondaryStatus_Failed :: SecondaryStatus 
pattern SecondaryStatus_Interrupted :: SecondaryStatus 
pattern SecondaryStatus_LaunchingMLInstances :: SecondaryStatus 
pattern SecondaryStatus_MaxRuntimeExceeded :: SecondaryStatus 
pattern SecondaryStatus_MaxWaitTimeExceeded :: SecondaryStatus 
pattern SecondaryStatus_PreparingTrainingStack :: SecondaryStatus 
pattern SecondaryStatus_Restarting :: SecondaryStatus 
pattern SecondaryStatus_Starting :: SecondaryStatus 
pattern SecondaryStatus_Stopped :: SecondaryStatus 
pattern SecondaryStatus_Stopping :: SecondaryStatus 
pattern SecondaryStatus_Training :: SecondaryStatus 
pattern SecondaryStatus_Updating :: SecondaryStatus 
pattern SecondaryStatus_Uploading :: SecondaryStatus 

Instances

Instances details
FromJSON SecondaryStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SecondaryStatus

Methods

parseJSON :: Value -> Parser SecondaryStatus #

parseJSONList :: Value -> Parser [SecondaryStatus] #

FromJSONKey SecondaryStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SecondaryStatus

Methods

fromJSONKey :: FromJSONKeyFunction SecondaryStatus #

fromJSONKeyList :: FromJSONKeyFunction [SecondaryStatus] #

ToJSON SecondaryStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SecondaryStatus

Methods

toJSON :: SecondaryStatus -> Value #

toEncoding :: SecondaryStatus -> Encoding #

toJSONList :: [SecondaryStatus] -> Value #

toEncodingList :: [SecondaryStatus] -> Encoding #

ToJSONKey SecondaryStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SecondaryStatus

Methods

toJSONKey :: ToJSONKeyFunction SecondaryStatus #

toJSONKeyList :: ToJSONKeyFunction [SecondaryStatus] #

ToByteString SecondaryStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SecondaryStatus

Methods

toBS :: SecondaryStatus -> ByteString #

ToHeader SecondaryStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SecondaryStatus

Methods

toHeader :: HeaderName -> SecondaryStatus -> [Header] #

ToLog SecondaryStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SecondaryStatus

Methods

build :: SecondaryStatus -> ByteStringBuilder #

ToQuery SecondaryStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SecondaryStatus

Methods

toQuery :: SecondaryStatus -> QueryString #

FromText SecondaryStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SecondaryStatus

Methods

fromText :: Text -> Either String SecondaryStatus #

ToText SecondaryStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SecondaryStatus

Methods

toText :: SecondaryStatus -> Text #

FromXML SecondaryStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SecondaryStatus

Methods

parseXML :: [Node] -> Either String SecondaryStatus #

ToXML SecondaryStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SecondaryStatus

Methods

toXML :: SecondaryStatus -> XML #

Generic SecondaryStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SecondaryStatus

Associated Types

type Rep SecondaryStatus :: Type -> Type #

Methods

from :: SecondaryStatus -> Rep SecondaryStatus x #

to :: Rep SecondaryStatus x -> SecondaryStatus #

Read SecondaryStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SecondaryStatus

Methods

readsPrec :: Int -> ReadS SecondaryStatus #

readList :: ReadS [SecondaryStatus] #

readPrec :: ReadPrec SecondaryStatus #

readListPrec :: ReadPrec [SecondaryStatus] #

Show SecondaryStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SecondaryStatus

Methods

showsPrec :: Int -> SecondaryStatus -> ShowS #

show :: SecondaryStatus -> String #

showList :: [SecondaryStatus] -> ShowS #

NFData SecondaryStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SecondaryStatus

Methods

rnf :: SecondaryStatus -> () #

Eq SecondaryStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SecondaryStatus

Methods

(==) :: SecondaryStatus -> SecondaryStatus -> Bool #

(/=) :: SecondaryStatus -> SecondaryStatus -> Bool #

Ord SecondaryStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SecondaryStatus

Methods

compare :: SecondaryStatus -> SecondaryStatus -> Ordering #

(<) :: SecondaryStatus -> SecondaryStatus -> Bool #

(<=) :: SecondaryStatus -> SecondaryStatus -> Bool #

(>) :: SecondaryStatus -> SecondaryStatus -> Bool #

(>=) :: SecondaryStatus -> SecondaryStatus -> Bool #

max :: SecondaryStatus -> SecondaryStatus -> SecondaryStatus #

min :: SecondaryStatus -> SecondaryStatus -> SecondaryStatus #

Hashable SecondaryStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SecondaryStatus

Methods

hashWithSalt :: Int -> SecondaryStatus -> Int #

hash :: SecondaryStatus -> Int #

type Rep SecondaryStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SecondaryStatus

type Rep SecondaryStatus = D1 ('MetaData "SecondaryStatus" "Amazonka.SageMaker.Types.SecondaryStatus" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'True) (C1 ('MetaCons "SecondaryStatus'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromSecondaryStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

SortActionsBy

newtype SortActionsBy Source #

Constructors

SortActionsBy' 

Fields

Bundled Patterns

pattern SortActionsBy_CreationTime :: SortActionsBy 
pattern SortActionsBy_Name :: SortActionsBy 

Instances

Instances details
FromJSON SortActionsBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortActionsBy

Methods

parseJSON :: Value -> Parser SortActionsBy #

parseJSONList :: Value -> Parser [SortActionsBy] #

FromJSONKey SortActionsBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortActionsBy

Methods

fromJSONKey :: FromJSONKeyFunction SortActionsBy #

fromJSONKeyList :: FromJSONKeyFunction [SortActionsBy] #

ToJSON SortActionsBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortActionsBy

Methods

toJSON :: SortActionsBy -> Value #

toEncoding :: SortActionsBy -> Encoding #

toJSONList :: [SortActionsBy] -> Value #

toEncodingList :: [SortActionsBy] -> Encoding #

ToJSONKey SortActionsBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortActionsBy

Methods

toJSONKey :: ToJSONKeyFunction SortActionsBy #

toJSONKeyList :: ToJSONKeyFunction [SortActionsBy] #

ToByteString SortActionsBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortActionsBy

Methods

toBS :: SortActionsBy -> ByteString #

ToHeader SortActionsBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortActionsBy

Methods

toHeader :: HeaderName -> SortActionsBy -> [Header] #

ToLog SortActionsBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortActionsBy

Methods

build :: SortActionsBy -> ByteStringBuilder #

ToQuery SortActionsBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortActionsBy

Methods

toQuery :: SortActionsBy -> QueryString #

FromText SortActionsBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortActionsBy

Methods

fromText :: Text -> Either String SortActionsBy #

ToText SortActionsBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortActionsBy

Methods

toText :: SortActionsBy -> Text #

FromXML SortActionsBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortActionsBy

Methods

parseXML :: [Node] -> Either String SortActionsBy #

ToXML SortActionsBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortActionsBy

Methods

toXML :: SortActionsBy -> XML #

Generic SortActionsBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortActionsBy

Associated Types

type Rep SortActionsBy :: Type -> Type #

Methods

from :: SortActionsBy -> Rep SortActionsBy x #

to :: Rep SortActionsBy x -> SortActionsBy #

Read SortActionsBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortActionsBy

Methods

readsPrec :: Int -> ReadS SortActionsBy #

readList :: ReadS [SortActionsBy] #

readPrec :: ReadPrec SortActionsBy #

readListPrec :: ReadPrec [SortActionsBy] #

Show SortActionsBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortActionsBy

Methods

showsPrec :: Int -> SortActionsBy -> ShowS #

show :: SortActionsBy -> String #

showList :: [SortActionsBy] -> ShowS #

NFData SortActionsBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortActionsBy

Methods

rnf :: SortActionsBy -> () #

Eq SortActionsBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortActionsBy

Methods

(==) :: SortActionsBy -> SortActionsBy -> Bool #

(/=) :: SortActionsBy -> SortActionsBy -> Bool #

Ord SortActionsBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortActionsBy

Methods

compare :: SortActionsBy -> SortActionsBy -> Ordering #

(<) :: SortActionsBy -> SortActionsBy -> Bool #

(<=) :: SortActionsBy -> SortActionsBy -> Bool #

(>) :: SortActionsBy -> SortActionsBy -> Bool #

(>=) :: SortActionsBy -> SortActionsBy -> Bool #

max :: SortActionsBy -> SortActionsBy -> SortActionsBy #

min :: SortActionsBy -> SortActionsBy -> SortActionsBy #

Hashable SortActionsBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortActionsBy

Methods

hashWithSalt :: Int -> SortActionsBy -> Int #

hash :: SortActionsBy -> Int #

type Rep SortActionsBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortActionsBy

type Rep SortActionsBy = D1 ('MetaData "SortActionsBy" "Amazonka.SageMaker.Types.SortActionsBy" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'True) (C1 ('MetaCons "SortActionsBy'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromSortActionsBy") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

SortArtifactsBy

newtype SortArtifactsBy Source #

Constructors

SortArtifactsBy' 

Fields

Bundled Patterns

pattern SortArtifactsBy_CreationTime :: SortArtifactsBy 

Instances

Instances details
FromJSON SortArtifactsBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortArtifactsBy

Methods

parseJSON :: Value -> Parser SortArtifactsBy #

parseJSONList :: Value -> Parser [SortArtifactsBy] #

FromJSONKey SortArtifactsBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortArtifactsBy

Methods

fromJSONKey :: FromJSONKeyFunction SortArtifactsBy #

fromJSONKeyList :: FromJSONKeyFunction [SortArtifactsBy] #

ToJSON SortArtifactsBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortArtifactsBy

Methods

toJSON :: SortArtifactsBy -> Value #

toEncoding :: SortArtifactsBy -> Encoding #

toJSONList :: [SortArtifactsBy] -> Value #

toEncodingList :: [SortArtifactsBy] -> Encoding #

ToJSONKey SortArtifactsBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortArtifactsBy

Methods

toJSONKey :: ToJSONKeyFunction SortArtifactsBy #

toJSONKeyList :: ToJSONKeyFunction [SortArtifactsBy] #

ToByteString SortArtifactsBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortArtifactsBy

Methods

toBS :: SortArtifactsBy -> ByteString #

ToHeader SortArtifactsBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortArtifactsBy

Methods

toHeader :: HeaderName -> SortArtifactsBy -> [Header] #

ToLog SortArtifactsBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortArtifactsBy

Methods

build :: SortArtifactsBy -> ByteStringBuilder #

ToQuery SortArtifactsBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortArtifactsBy

Methods

toQuery :: SortArtifactsBy -> QueryString #

FromText SortArtifactsBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortArtifactsBy

Methods

fromText :: Text -> Either String SortArtifactsBy #

ToText SortArtifactsBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortArtifactsBy

Methods

toText :: SortArtifactsBy -> Text #

FromXML SortArtifactsBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortArtifactsBy

Methods

parseXML :: [Node] -> Either String SortArtifactsBy #

ToXML SortArtifactsBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortArtifactsBy

Methods

toXML :: SortArtifactsBy -> XML #

Generic SortArtifactsBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortArtifactsBy

Associated Types

type Rep SortArtifactsBy :: Type -> Type #

Methods

from :: SortArtifactsBy -> Rep SortArtifactsBy x #

to :: Rep SortArtifactsBy x -> SortArtifactsBy #

Read SortArtifactsBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortArtifactsBy

Methods

readsPrec :: Int -> ReadS SortArtifactsBy #

readList :: ReadS [SortArtifactsBy] #

readPrec :: ReadPrec SortArtifactsBy #

readListPrec :: ReadPrec [SortArtifactsBy] #

Show SortArtifactsBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortArtifactsBy

Methods

showsPrec :: Int -> SortArtifactsBy -> ShowS #

show :: SortArtifactsBy -> String #

showList :: [SortArtifactsBy] -> ShowS #

NFData SortArtifactsBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortArtifactsBy

Methods

rnf :: SortArtifactsBy -> () #

Eq SortArtifactsBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortArtifactsBy

Methods

(==) :: SortArtifactsBy -> SortArtifactsBy -> Bool #

(/=) :: SortArtifactsBy -> SortArtifactsBy -> Bool #

Ord SortArtifactsBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortArtifactsBy

Methods

compare :: SortArtifactsBy -> SortArtifactsBy -> Ordering #

(<) :: SortArtifactsBy -> SortArtifactsBy -> Bool #

(<=) :: SortArtifactsBy -> SortArtifactsBy -> Bool #

(>) :: SortArtifactsBy -> SortArtifactsBy -> Bool #

(>=) :: SortArtifactsBy -> SortArtifactsBy -> Bool #

max :: SortArtifactsBy -> SortArtifactsBy -> SortArtifactsBy #

min :: SortArtifactsBy -> SortArtifactsBy -> SortArtifactsBy #

Hashable SortArtifactsBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortArtifactsBy

Methods

hashWithSalt :: Int -> SortArtifactsBy -> Int #

hash :: SortArtifactsBy -> Int #

type Rep SortArtifactsBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortArtifactsBy

type Rep SortArtifactsBy = D1 ('MetaData "SortArtifactsBy" "Amazonka.SageMaker.Types.SortArtifactsBy" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'True) (C1 ('MetaCons "SortArtifactsBy'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromSortArtifactsBy") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

SortAssociationsBy

newtype SortAssociationsBy Source #

Constructors

SortAssociationsBy' 

Fields

Bundled Patterns

pattern SortAssociationsBy_CreationTime :: SortAssociationsBy 
pattern SortAssociationsBy_DestinationArn :: SortAssociationsBy 
pattern SortAssociationsBy_DestinationType :: SortAssociationsBy 
pattern SortAssociationsBy_SourceArn :: SortAssociationsBy 
pattern SortAssociationsBy_SourceType :: SortAssociationsBy 

Instances

Instances details
FromJSON SortAssociationsBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortAssociationsBy

Methods

parseJSON :: Value -> Parser SortAssociationsBy #

parseJSONList :: Value -> Parser [SortAssociationsBy] #

FromJSONKey SortAssociationsBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortAssociationsBy

Methods

fromJSONKey :: FromJSONKeyFunction SortAssociationsBy #

fromJSONKeyList :: FromJSONKeyFunction [SortAssociationsBy] #

ToJSON SortAssociationsBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortAssociationsBy

Methods

toJSON :: SortAssociationsBy -> Value #

toEncoding :: SortAssociationsBy -> Encoding #

toJSONList :: [SortAssociationsBy] -> Value #

toEncodingList :: [SortAssociationsBy] -> Encoding #

ToJSONKey SortAssociationsBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortAssociationsBy

Methods

toJSONKey :: ToJSONKeyFunction SortAssociationsBy #

toJSONKeyList :: ToJSONKeyFunction [SortAssociationsBy] #

ToByteString SortAssociationsBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortAssociationsBy

Methods

toBS :: SortAssociationsBy -> ByteString #

ToHeader SortAssociationsBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortAssociationsBy

Methods

toHeader :: HeaderName -> SortAssociationsBy -> [Header] #

ToLog SortAssociationsBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortAssociationsBy

Methods

build :: SortAssociationsBy -> ByteStringBuilder #

ToQuery SortAssociationsBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortAssociationsBy

Methods

toQuery :: SortAssociationsBy -> QueryString #

FromText SortAssociationsBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortAssociationsBy

Methods

fromText :: Text -> Either String SortAssociationsBy #

ToText SortAssociationsBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortAssociationsBy

Methods

toText :: SortAssociationsBy -> Text #

FromXML SortAssociationsBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortAssociationsBy

Methods

parseXML :: [Node] -> Either String SortAssociationsBy #

ToXML SortAssociationsBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortAssociationsBy

Methods

toXML :: SortAssociationsBy -> XML #

Generic SortAssociationsBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortAssociationsBy

Associated Types

type Rep SortAssociationsBy :: Type -> Type #

Methods

from :: SortAssociationsBy -> Rep SortAssociationsBy x #

to :: Rep SortAssociationsBy x -> SortAssociationsBy #

Read SortAssociationsBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortAssociationsBy

Methods

readsPrec :: Int -> ReadS SortAssociationsBy #

readList :: ReadS [SortAssociationsBy] #

readPrec :: ReadPrec SortAssociationsBy #

readListPrec :: ReadPrec [SortAssociationsBy] #

Show SortAssociationsBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortAssociationsBy

Methods

showsPrec :: Int -> SortAssociationsBy -> ShowS #

show :: SortAssociationsBy -> String #

showList :: [SortAssociationsBy] -> ShowS #

NFData SortAssociationsBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortAssociationsBy

Methods

rnf :: SortAssociationsBy -> () #

Eq SortAssociationsBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortAssociationsBy

Methods

(==) :: SortAssociationsBy -> SortAssociationsBy -> Bool #

(/=) :: SortAssociationsBy -> SortAssociationsBy -> Bool #

Ord SortAssociationsBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortAssociationsBy

Methods

compare :: SortAssociationsBy -> SortAssociationsBy -> Ordering #

(<) :: SortAssociationsBy -> SortAssociationsBy -> Bool #

(<=) :: SortAssociationsBy -> SortAssociationsBy -> Bool #

(>) :: SortAssociationsBy -> SortAssociationsBy -> Bool #

(>=) :: SortAssociationsBy -> SortAssociationsBy -> Bool #

max :: SortAssociationsBy -> SortAssociationsBy -> SortAssociationsBy #

min :: SortAssociationsBy -> SortAssociationsBy -> SortAssociationsBy #

Hashable SortAssociationsBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortAssociationsBy

Methods

hashWithSalt :: Int -> SortAssociationsBy -> Int #

hash :: SortAssociationsBy -> Int #

type Rep SortAssociationsBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortAssociationsBy

type Rep SortAssociationsBy = D1 ('MetaData "SortAssociationsBy" "Amazonka.SageMaker.Types.SortAssociationsBy" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'True) (C1 ('MetaCons "SortAssociationsBy'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromSortAssociationsBy") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

SortBy

newtype SortBy Source #

Constructors

SortBy' 

Fields

Bundled Patterns

pattern SortBy_CreationTime :: SortBy 
pattern SortBy_Name :: SortBy 
pattern SortBy_Status :: SortBy 

Instances

Instances details
FromJSON SortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortBy

Methods

parseJSON :: Value -> Parser SortBy #

parseJSONList :: Value -> Parser [SortBy] #

FromJSONKey SortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortBy

Methods

fromJSONKey :: FromJSONKeyFunction SortBy #

fromJSONKeyList :: FromJSONKeyFunction [SortBy] #

ToJSON SortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortBy

Methods

toJSON :: SortBy -> Value #

toEncoding :: SortBy -> Encoding #

toJSONList :: [SortBy] -> Value #

toEncodingList :: [SortBy] -> Encoding #

ToJSONKey SortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortBy

Methods

toJSONKey :: ToJSONKeyFunction SortBy #

toJSONKeyList :: ToJSONKeyFunction [SortBy] #

ToByteString SortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortBy

Methods

toBS :: SortBy -> ByteString #

ToHeader SortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortBy

Methods

toHeader :: HeaderName -> SortBy -> [Header] #

ToLog SortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortBy

Methods

build :: SortBy -> ByteStringBuilder #

ToQuery SortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortBy

Methods

toQuery :: SortBy -> QueryString #

FromText SortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortBy

Methods

fromText :: Text -> Either String SortBy #

ToText SortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortBy

Methods

toText :: SortBy -> Text #

FromXML SortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortBy

Methods

parseXML :: [Node] -> Either String SortBy #

ToXML SortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortBy

Methods

toXML :: SortBy -> XML #

Generic SortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortBy

Associated Types

type Rep SortBy :: Type -> Type #

Methods

from :: SortBy -> Rep SortBy x #

to :: Rep SortBy x -> SortBy #

Read SortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortBy

Methods

readsPrec :: Int -> ReadS SortBy #

readList :: ReadS [SortBy] #

readPrec :: ReadPrec SortBy #

readListPrec :: ReadPrec [SortBy] #

Show SortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortBy

Methods

showsPrec :: Int -> SortBy -> ShowS #

show :: SortBy -> String #

showList :: [SortBy] -> ShowS #

NFData SortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortBy

Methods

rnf :: SortBy -> () #

Eq SortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortBy

Methods

(==) :: SortBy -> SortBy -> Bool #

(/=) :: SortBy -> SortBy -> Bool #

Ord SortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortBy

Methods

compare :: SortBy -> SortBy -> Ordering #

(<) :: SortBy -> SortBy -> Bool #

(<=) :: SortBy -> SortBy -> Bool #

(>) :: SortBy -> SortBy -> Bool #

(>=) :: SortBy -> SortBy -> Bool #

max :: SortBy -> SortBy -> SortBy #

min :: SortBy -> SortBy -> SortBy #

Hashable SortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortBy

Methods

hashWithSalt :: Int -> SortBy -> Int #

hash :: SortBy -> Int #

type Rep SortBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortBy

type Rep SortBy = D1 ('MetaData "SortBy" "Amazonka.SageMaker.Types.SortBy" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'True) (C1 ('MetaCons "SortBy'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromSortBy") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

SortContextsBy

newtype SortContextsBy Source #

Constructors

SortContextsBy' 

Fields

Bundled Patterns

pattern SortContextsBy_CreationTime :: SortContextsBy 
pattern SortContextsBy_Name :: SortContextsBy 

Instances

Instances details
FromJSON SortContextsBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortContextsBy

Methods

parseJSON :: Value -> Parser SortContextsBy #

parseJSONList :: Value -> Parser [SortContextsBy] #

FromJSONKey SortContextsBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortContextsBy

Methods

fromJSONKey :: FromJSONKeyFunction SortContextsBy #

fromJSONKeyList :: FromJSONKeyFunction [SortContextsBy] #

ToJSON SortContextsBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortContextsBy

Methods

toJSON :: SortContextsBy -> Value #

toEncoding :: SortContextsBy -> Encoding #

toJSONList :: [SortContextsBy] -> Value #

toEncodingList :: [SortContextsBy] -> Encoding #

ToJSONKey SortContextsBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortContextsBy

Methods

toJSONKey :: ToJSONKeyFunction SortContextsBy #

toJSONKeyList :: ToJSONKeyFunction [SortContextsBy] #

ToByteString SortContextsBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortContextsBy

Methods

toBS :: SortContextsBy -> ByteString #

ToHeader SortContextsBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortContextsBy

Methods

toHeader :: HeaderName -> SortContextsBy -> [Header] #

ToLog SortContextsBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortContextsBy

Methods

build :: SortContextsBy -> ByteStringBuilder #

ToQuery SortContextsBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortContextsBy

Methods

toQuery :: SortContextsBy -> QueryString #

FromText SortContextsBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortContextsBy

Methods

fromText :: Text -> Either String SortContextsBy #

ToText SortContextsBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortContextsBy

Methods

toText :: SortContextsBy -> Text #

FromXML SortContextsBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortContextsBy

Methods

parseXML :: [Node] -> Either String SortContextsBy #

ToXML SortContextsBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortContextsBy

Methods

toXML :: SortContextsBy -> XML #

Generic SortContextsBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortContextsBy

Associated Types

type Rep SortContextsBy :: Type -> Type #

Methods

from :: SortContextsBy -> Rep SortContextsBy x #

to :: Rep SortContextsBy x -> SortContextsBy #

Read SortContextsBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortContextsBy

Methods

readsPrec :: Int -> ReadS SortContextsBy #

readList :: ReadS [SortContextsBy] #

readPrec :: ReadPrec SortContextsBy #

readListPrec :: ReadPrec [SortContextsBy] #

Show SortContextsBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortContextsBy

Methods

showsPrec :: Int -> SortContextsBy -> ShowS #

show :: SortContextsBy -> String #

showList :: [SortContextsBy] -> ShowS #

NFData SortContextsBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortContextsBy

Methods

rnf :: SortContextsBy -> () #

Eq SortContextsBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortContextsBy

Methods

(==) :: SortContextsBy -> SortContextsBy -> Bool #

(/=) :: SortContextsBy -> SortContextsBy -> Bool #

Ord SortContextsBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortContextsBy

Methods

compare :: SortContextsBy -> SortContextsBy -> Ordering #

(<) :: SortContextsBy -> SortContextsBy -> Bool #

(<=) :: SortContextsBy -> SortContextsBy -> Bool #

(>) :: SortContextsBy -> SortContextsBy -> Bool #

(>=) :: SortContextsBy -> SortContextsBy -> Bool #

max :: SortContextsBy -> SortContextsBy -> SortContextsBy #

min :: SortContextsBy -> SortContextsBy -> SortContextsBy #

Hashable SortContextsBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortContextsBy

Methods

hashWithSalt :: Int -> SortContextsBy -> Int #

hash :: SortContextsBy -> Int #

type Rep SortContextsBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortContextsBy

type Rep SortContextsBy = D1 ('MetaData "SortContextsBy" "Amazonka.SageMaker.Types.SortContextsBy" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'True) (C1 ('MetaCons "SortContextsBy'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromSortContextsBy") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

SortExperimentsBy

newtype SortExperimentsBy Source #

Constructors

SortExperimentsBy' 

Fields

Bundled Patterns

pattern SortExperimentsBy_CreationTime :: SortExperimentsBy 
pattern SortExperimentsBy_Name :: SortExperimentsBy 

Instances

Instances details
FromJSON SortExperimentsBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortExperimentsBy

Methods

parseJSON :: Value -> Parser SortExperimentsBy #

parseJSONList :: Value -> Parser [SortExperimentsBy] #

FromJSONKey SortExperimentsBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortExperimentsBy

Methods

fromJSONKey :: FromJSONKeyFunction SortExperimentsBy #

fromJSONKeyList :: FromJSONKeyFunction [SortExperimentsBy] #

ToJSON SortExperimentsBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortExperimentsBy

Methods

toJSON :: SortExperimentsBy -> Value #

toEncoding :: SortExperimentsBy -> Encoding #

toJSONList :: [SortExperimentsBy] -> Value #

toEncodingList :: [SortExperimentsBy] -> Encoding #

ToJSONKey SortExperimentsBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortExperimentsBy

Methods

toJSONKey :: ToJSONKeyFunction SortExperimentsBy #

toJSONKeyList :: ToJSONKeyFunction [SortExperimentsBy] #

ToByteString SortExperimentsBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortExperimentsBy

Methods

toBS :: SortExperimentsBy -> ByteString #

ToHeader SortExperimentsBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortExperimentsBy

Methods

toHeader :: HeaderName -> SortExperimentsBy -> [Header] #

ToLog SortExperimentsBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortExperimentsBy

Methods

build :: SortExperimentsBy -> ByteStringBuilder #

ToQuery SortExperimentsBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortExperimentsBy

Methods

toQuery :: SortExperimentsBy -> QueryString #

FromText SortExperimentsBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortExperimentsBy

Methods

fromText :: Text -> Either String SortExperimentsBy #

ToText SortExperimentsBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortExperimentsBy

Methods

toText :: SortExperimentsBy -> Text #

FromXML SortExperimentsBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortExperimentsBy

Methods

parseXML :: [Node] -> Either String SortExperimentsBy #

ToXML SortExperimentsBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortExperimentsBy

Methods

toXML :: SortExperimentsBy -> XML #

Generic SortExperimentsBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortExperimentsBy

Associated Types

type Rep SortExperimentsBy :: Type -> Type #

Methods

from :: SortExperimentsBy -> Rep SortExperimentsBy x #

to :: Rep SortExperimentsBy x -> SortExperimentsBy #

Read SortExperimentsBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortExperimentsBy

Methods

readsPrec :: Int -> ReadS SortExperimentsBy #

readList :: ReadS [SortExperimentsBy] #

readPrec :: ReadPrec SortExperimentsBy #

readListPrec :: ReadPrec [SortExperimentsBy] #

Show SortExperimentsBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortExperimentsBy

Methods

showsPrec :: Int -> SortExperimentsBy -> ShowS #

show :: SortExperimentsBy -> String #

showList :: [SortExperimentsBy] -> ShowS #

NFData SortExperimentsBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortExperimentsBy

Methods

rnf :: SortExperimentsBy -> () #

Eq SortExperimentsBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortExperimentsBy

Methods

(==) :: SortExperimentsBy -> SortExperimentsBy -> Bool #

(/=) :: SortExperimentsBy -> SortExperimentsBy -> Bool #

Ord SortExperimentsBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortExperimentsBy

Methods

compare :: SortExperimentsBy -> SortExperimentsBy -> Ordering #

(<) :: SortExperimentsBy -> SortExperimentsBy -> Bool #

(<=) :: SortExperimentsBy -> SortExperimentsBy -> Bool #

(>) :: SortExperimentsBy -> SortExperimentsBy -> Bool #

(>=) :: SortExperimentsBy -> SortExperimentsBy -> Bool #

max :: SortExperimentsBy -> SortExperimentsBy -> SortExperimentsBy #

min :: SortExperimentsBy -> SortExperimentsBy -> SortExperimentsBy #

Hashable SortExperimentsBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortExperimentsBy

Methods

hashWithSalt :: Int -> SortExperimentsBy -> Int #

hash :: SortExperimentsBy -> Int #

type Rep SortExperimentsBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortExperimentsBy

type Rep SortExperimentsBy = D1 ('MetaData "SortExperimentsBy" "Amazonka.SageMaker.Types.SortExperimentsBy" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'True) (C1 ('MetaCons "SortExperimentsBy'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromSortExperimentsBy") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

SortInferenceExperimentsBy

newtype SortInferenceExperimentsBy Source #

Constructors

SortInferenceExperimentsBy' 

Fields

Bundled Patterns

pattern SortInferenceExperimentsBy_CreationTime :: SortInferenceExperimentsBy 
pattern SortInferenceExperimentsBy_Name :: SortInferenceExperimentsBy 
pattern SortInferenceExperimentsBy_Status :: SortInferenceExperimentsBy 

Instances

Instances details
FromJSON SortInferenceExperimentsBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortInferenceExperimentsBy

Methods

parseJSON :: Value -> Parser SortInferenceExperimentsBy #

parseJSONList :: Value -> Parser [SortInferenceExperimentsBy] #

FromJSONKey SortInferenceExperimentsBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortInferenceExperimentsBy

Methods

fromJSONKey :: FromJSONKeyFunction SortInferenceExperimentsBy #

fromJSONKeyList :: FromJSONKeyFunction [SortInferenceExperimentsBy] #

ToJSON SortInferenceExperimentsBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortInferenceExperimentsBy

Methods

toJSON :: SortInferenceExperimentsBy -> Value #

toEncoding :: SortInferenceExperimentsBy -> Encoding #

toJSONList :: [SortInferenceExperimentsBy] -> Value #

toEncodingList :: [SortInferenceExperimentsBy] -> Encoding #

ToJSONKey SortInferenceExperimentsBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortInferenceExperimentsBy

Methods

toJSONKey :: ToJSONKeyFunction SortInferenceExperimentsBy #

toJSONKeyList :: ToJSONKeyFunction [SortInferenceExperimentsBy] #

ToByteString SortInferenceExperimentsBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortInferenceExperimentsBy

Methods

toBS :: SortInferenceExperimentsBy -> ByteString #

ToHeader SortInferenceExperimentsBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortInferenceExperimentsBy

Methods

toHeader :: HeaderName -> SortInferenceExperimentsBy -> [Header] #

ToLog SortInferenceExperimentsBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortInferenceExperimentsBy

Methods

build :: SortInferenceExperimentsBy -> ByteStringBuilder #

ToQuery SortInferenceExperimentsBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortInferenceExperimentsBy

Methods

toQuery :: SortInferenceExperimentsBy -> QueryString #

FromText SortInferenceExperimentsBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortInferenceExperimentsBy

Methods

fromText :: Text -> Either String SortInferenceExperimentsBy #

ToText SortInferenceExperimentsBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortInferenceExperimentsBy

Methods

toText :: SortInferenceExperimentsBy -> Text #

FromXML SortInferenceExperimentsBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortInferenceExperimentsBy

Methods

parseXML :: [Node] -> Either String SortInferenceExperimentsBy #

ToXML SortInferenceExperimentsBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortInferenceExperimentsBy

Methods

toXML :: SortInferenceExperimentsBy -> XML #

Generic SortInferenceExperimentsBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortInferenceExperimentsBy

Associated Types

type Rep SortInferenceExperimentsBy :: Type -> Type #

Methods

from :: SortInferenceExperimentsBy -> Rep SortInferenceExperimentsBy x #

to :: Rep SortInferenceExperimentsBy x -> SortInferenceExperimentsBy #

Read SortInferenceExperimentsBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortInferenceExperimentsBy

Methods

readsPrec :: Int -> ReadS SortInferenceExperimentsBy #

readList :: ReadS [SortInferenceExperimentsBy] #

readPrec :: ReadPrec SortInferenceExperimentsBy #

readListPrec :: ReadPrec [SortInferenceExperimentsBy] #

Show SortInferenceExperimentsBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortInferenceExperimentsBy

Methods

showsPrec :: Int -> SortInferenceExperimentsBy -> ShowS #

show :: SortInferenceExperimentsBy -> String #

showList :: [SortInferenceExperimentsBy] -> ShowS #

NFData SortInferenceExperimentsBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortInferenceExperimentsBy

Methods

rnf :: SortInferenceExperimentsBy -> () #

Eq SortInferenceExperimentsBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortInferenceExperimentsBy

Methods

(==) :: SortInferenceExperimentsBy -> SortInferenceExperimentsBy -> Bool #

(/=) :: SortInferenceExperimentsBy -> SortInferenceExperimentsBy -> Bool #

Ord SortInferenceExperimentsBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortInferenceExperimentsBy

Methods

compare :: SortInferenceExperimentsBy -> SortInferenceExperimentsBy -> Ordering #

(<) :: SortInferenceExperimentsBy -> SortInferenceExperimentsBy -> Bool #

(<=) :: SortInferenceExperimentsBy -> SortInferenceExperimentsBy -> Bool #

(>) :: SortInferenceExperimentsBy -> SortInferenceExperimentsBy -> Bool #

(>=) :: SortInferenceExperimentsBy -> SortInferenceExperimentsBy -> Bool #

max :: SortInferenceExperimentsBy -> SortInferenceExperimentsBy -> SortInferenceExperimentsBy #

min :: SortInferenceExperimentsBy -> SortInferenceExperimentsBy -> SortInferenceExperimentsBy #

Hashable SortInferenceExperimentsBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortInferenceExperimentsBy

Methods

hashWithSalt :: Int -> SortInferenceExperimentsBy -> Int #

hash :: SortInferenceExperimentsBy -> Int #

type Rep SortInferenceExperimentsBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortInferenceExperimentsBy

type Rep SortInferenceExperimentsBy = D1 ('MetaData "SortInferenceExperimentsBy" "Amazonka.SageMaker.Types.SortInferenceExperimentsBy" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'True) (C1 ('MetaCons "SortInferenceExperimentsBy'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromSortInferenceExperimentsBy") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

SortLineageGroupsBy

newtype SortLineageGroupsBy Source #

Constructors

SortLineageGroupsBy' 

Fields

Bundled Patterns

pattern SortLineageGroupsBy_CreationTime :: SortLineageGroupsBy 
pattern SortLineageGroupsBy_Name :: SortLineageGroupsBy 

Instances

Instances details
FromJSON SortLineageGroupsBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortLineageGroupsBy

Methods

parseJSON :: Value -> Parser SortLineageGroupsBy #

parseJSONList :: Value -> Parser [SortLineageGroupsBy] #

FromJSONKey SortLineageGroupsBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortLineageGroupsBy

Methods

fromJSONKey :: FromJSONKeyFunction SortLineageGroupsBy #

fromJSONKeyList :: FromJSONKeyFunction [SortLineageGroupsBy] #

ToJSON SortLineageGroupsBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortLineageGroupsBy

Methods

toJSON :: SortLineageGroupsBy -> Value #

toEncoding :: SortLineageGroupsBy -> Encoding #

toJSONList :: [SortLineageGroupsBy] -> Value #

toEncodingList :: [SortLineageGroupsBy] -> Encoding #

ToJSONKey SortLineageGroupsBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortLineageGroupsBy

Methods

toJSONKey :: ToJSONKeyFunction SortLineageGroupsBy #

toJSONKeyList :: ToJSONKeyFunction [SortLineageGroupsBy] #

ToByteString SortLineageGroupsBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortLineageGroupsBy

Methods

toBS :: SortLineageGroupsBy -> ByteString #

ToHeader SortLineageGroupsBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortLineageGroupsBy

Methods

toHeader :: HeaderName -> SortLineageGroupsBy -> [Header] #

ToLog SortLineageGroupsBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortLineageGroupsBy

Methods

build :: SortLineageGroupsBy -> ByteStringBuilder #

ToQuery SortLineageGroupsBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortLineageGroupsBy

Methods

toQuery :: SortLineageGroupsBy -> QueryString #

FromText SortLineageGroupsBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortLineageGroupsBy

Methods

fromText :: Text -> Either String SortLineageGroupsBy #

ToText SortLineageGroupsBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortLineageGroupsBy

Methods

toText :: SortLineageGroupsBy -> Text #

FromXML SortLineageGroupsBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortLineageGroupsBy

Methods

parseXML :: [Node] -> Either String SortLineageGroupsBy #

ToXML SortLineageGroupsBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortLineageGroupsBy

Methods

toXML :: SortLineageGroupsBy -> XML #

Generic SortLineageGroupsBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortLineageGroupsBy

Associated Types

type Rep SortLineageGroupsBy :: Type -> Type #

Methods

from :: SortLineageGroupsBy -> Rep SortLineageGroupsBy x #

to :: Rep SortLineageGroupsBy x -> SortLineageGroupsBy #

Read SortLineageGroupsBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortLineageGroupsBy

Methods

readsPrec :: Int -> ReadS SortLineageGroupsBy #

readList :: ReadS [SortLineageGroupsBy] #

readPrec :: ReadPrec SortLineageGroupsBy #

readListPrec :: ReadPrec [SortLineageGroupsBy] #

Show SortLineageGroupsBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortLineageGroupsBy

Methods

showsPrec :: Int -> SortLineageGroupsBy -> ShowS #

show :: SortLineageGroupsBy -> String #

showList :: [SortLineageGroupsBy] -> ShowS #

NFData SortLineageGroupsBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortLineageGroupsBy

Methods

rnf :: SortLineageGroupsBy -> () #

Eq SortLineageGroupsBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortLineageGroupsBy

Methods

(==) :: SortLineageGroupsBy -> SortLineageGroupsBy -> Bool #

(/=) :: SortLineageGroupsBy -> SortLineageGroupsBy -> Bool #

Ord SortLineageGroupsBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortLineageGroupsBy

Methods

compare :: SortLineageGroupsBy -> SortLineageGroupsBy -> Ordering #

(<) :: SortLineageGroupsBy -> SortLineageGroupsBy -> Bool #

(<=) :: SortLineageGroupsBy -> SortLineageGroupsBy -> Bool #

(>) :: SortLineageGroupsBy -> SortLineageGroupsBy -> Bool #

(>=) :: SortLineageGroupsBy -> SortLineageGroupsBy -> Bool #

max :: SortLineageGroupsBy -> SortLineageGroupsBy -> SortLineageGroupsBy #

min :: SortLineageGroupsBy -> SortLineageGroupsBy -> SortLineageGroupsBy #

Hashable SortLineageGroupsBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortLineageGroupsBy

Methods

hashWithSalt :: Int -> SortLineageGroupsBy -> Int #

hash :: SortLineageGroupsBy -> Int #

type Rep SortLineageGroupsBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortLineageGroupsBy

type Rep SortLineageGroupsBy = D1 ('MetaData "SortLineageGroupsBy" "Amazonka.SageMaker.Types.SortLineageGroupsBy" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'True) (C1 ('MetaCons "SortLineageGroupsBy'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromSortLineageGroupsBy") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

SortOrder

newtype SortOrder Source #

Constructors

SortOrder' 

Fields

Bundled Patterns

pattern SortOrder_Ascending :: SortOrder 
pattern SortOrder_Descending :: SortOrder 

Instances

Instances details
FromJSON SortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortOrder

Methods

parseJSON :: Value -> Parser SortOrder #

parseJSONList :: Value -> Parser [SortOrder] #

FromJSONKey SortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortOrder

Methods

fromJSONKey :: FromJSONKeyFunction SortOrder #

fromJSONKeyList :: FromJSONKeyFunction [SortOrder] #

ToJSON SortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortOrder

Methods

toJSON :: SortOrder -> Value #

toEncoding :: SortOrder -> Encoding #

toJSONList :: [SortOrder] -> Value #

toEncodingList :: [SortOrder] -> Encoding #

ToJSONKey SortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortOrder

Methods

toJSONKey :: ToJSONKeyFunction SortOrder #

toJSONKeyList :: ToJSONKeyFunction [SortOrder] #

ToByteString SortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortOrder

Methods

toBS :: SortOrder -> ByteString #

ToHeader SortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortOrder

Methods

toHeader :: HeaderName -> SortOrder -> [Header] #

ToLog SortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortOrder

Methods

build :: SortOrder -> ByteStringBuilder #

ToQuery SortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortOrder

Methods

toQuery :: SortOrder -> QueryString #

FromText SortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortOrder

Methods

fromText :: Text -> Either String SortOrder #

ToText SortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortOrder

Methods

toText :: SortOrder -> Text #

FromXML SortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortOrder

Methods

parseXML :: [Node] -> Either String SortOrder #

ToXML SortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortOrder

Methods

toXML :: SortOrder -> XML #

Generic SortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortOrder

Associated Types

type Rep SortOrder :: Type -> Type #

Methods

from :: SortOrder -> Rep SortOrder x #

to :: Rep SortOrder x -> SortOrder #

Read SortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortOrder

Methods

readsPrec :: Int -> ReadS SortOrder #

readList :: ReadS [SortOrder] #

readPrec :: ReadPrec SortOrder #

readListPrec :: ReadPrec [SortOrder] #

Show SortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortOrder

Methods

showsPrec :: Int -> SortOrder -> ShowS #

show :: SortOrder -> String #

showList :: [SortOrder] -> ShowS #

NFData SortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortOrder

Methods

rnf :: SortOrder -> () #

Eq SortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortOrder

Methods

(==) :: SortOrder -> SortOrder -> Bool #

(/=) :: SortOrder -> SortOrder -> Bool #

Ord SortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortOrder

Methods

compare :: SortOrder -> SortOrder -> Ordering #

(<) :: SortOrder -> SortOrder -> Bool #

(<=) :: SortOrder -> SortOrder -> Bool #

(>) :: SortOrder -> SortOrder -> Bool #

(>=) :: SortOrder -> SortOrder -> Bool #

max :: SortOrder -> SortOrder -> SortOrder #

min :: SortOrder -> SortOrder -> SortOrder #

Hashable SortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortOrder

Methods

hashWithSalt :: Int -> SortOrder -> Int #

hash :: SortOrder -> Int #

type Rep SortOrder Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortOrder

type Rep SortOrder = D1 ('MetaData "SortOrder" "Amazonka.SageMaker.Types.SortOrder" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'True) (C1 ('MetaCons "SortOrder'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromSortOrder") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

SortPipelineExecutionsBy

newtype SortPipelineExecutionsBy Source #

Constructors

SortPipelineExecutionsBy' 

Fields

Bundled Patterns

pattern SortPipelineExecutionsBy_CreationTime :: SortPipelineExecutionsBy 
pattern SortPipelineExecutionsBy_PipelineExecutionArn :: SortPipelineExecutionsBy 

Instances

Instances details
FromJSON SortPipelineExecutionsBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortPipelineExecutionsBy

Methods

parseJSON :: Value -> Parser SortPipelineExecutionsBy #

parseJSONList :: Value -> Parser [SortPipelineExecutionsBy] #

FromJSONKey SortPipelineExecutionsBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortPipelineExecutionsBy

Methods

fromJSONKey :: FromJSONKeyFunction SortPipelineExecutionsBy #

fromJSONKeyList :: FromJSONKeyFunction [SortPipelineExecutionsBy] #

ToJSON SortPipelineExecutionsBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortPipelineExecutionsBy

Methods

toJSON :: SortPipelineExecutionsBy -> Value #

toEncoding :: SortPipelineExecutionsBy -> Encoding #

toJSONList :: [SortPipelineExecutionsBy] -> Value #

toEncodingList :: [SortPipelineExecutionsBy] -> Encoding #

ToJSONKey SortPipelineExecutionsBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortPipelineExecutionsBy

Methods

toJSONKey :: ToJSONKeyFunction SortPipelineExecutionsBy #

toJSONKeyList :: ToJSONKeyFunction [SortPipelineExecutionsBy] #

ToByteString SortPipelineExecutionsBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortPipelineExecutionsBy

Methods

toBS :: SortPipelineExecutionsBy -> ByteString #

ToHeader SortPipelineExecutionsBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortPipelineExecutionsBy

Methods

toHeader :: HeaderName -> SortPipelineExecutionsBy -> [Header] #

ToLog SortPipelineExecutionsBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortPipelineExecutionsBy

Methods

build :: SortPipelineExecutionsBy -> ByteStringBuilder #

ToQuery SortPipelineExecutionsBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortPipelineExecutionsBy

Methods

toQuery :: SortPipelineExecutionsBy -> QueryString #

FromText SortPipelineExecutionsBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortPipelineExecutionsBy

Methods

fromText :: Text -> Either String SortPipelineExecutionsBy #

ToText SortPipelineExecutionsBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortPipelineExecutionsBy

Methods

toText :: SortPipelineExecutionsBy -> Text #

FromXML SortPipelineExecutionsBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortPipelineExecutionsBy

Methods

parseXML :: [Node] -> Either String SortPipelineExecutionsBy #

ToXML SortPipelineExecutionsBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortPipelineExecutionsBy

Methods

toXML :: SortPipelineExecutionsBy -> XML #

Generic SortPipelineExecutionsBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortPipelineExecutionsBy

Associated Types

type Rep SortPipelineExecutionsBy :: Type -> Type #

Methods

from :: SortPipelineExecutionsBy -> Rep SortPipelineExecutionsBy x #

to :: Rep SortPipelineExecutionsBy x -> SortPipelineExecutionsBy #

Read SortPipelineExecutionsBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortPipelineExecutionsBy

Methods

readsPrec :: Int -> ReadS SortPipelineExecutionsBy #

readList :: ReadS [SortPipelineExecutionsBy] #

readPrec :: ReadPrec SortPipelineExecutionsBy #

readListPrec :: ReadPrec [SortPipelineExecutionsBy] #

Show SortPipelineExecutionsBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortPipelineExecutionsBy

Methods

showsPrec :: Int -> SortPipelineExecutionsBy -> ShowS #

show :: SortPipelineExecutionsBy -> String #

showList :: [SortPipelineExecutionsBy] -> ShowS #

NFData SortPipelineExecutionsBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortPipelineExecutionsBy

Methods

rnf :: SortPipelineExecutionsBy -> () #

Eq SortPipelineExecutionsBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortPipelineExecutionsBy

Methods

(==) :: SortPipelineExecutionsBy -> SortPipelineExecutionsBy -> Bool #

(/=) :: SortPipelineExecutionsBy -> SortPipelineExecutionsBy -> Bool #

Ord SortPipelineExecutionsBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortPipelineExecutionsBy

Methods

compare :: SortPipelineExecutionsBy -> SortPipelineExecutionsBy -> Ordering #

(<) :: SortPipelineExecutionsBy -> SortPipelineExecutionsBy -> Bool #

(<=) :: SortPipelineExecutionsBy -> SortPipelineExecutionsBy -> Bool #

(>) :: SortPipelineExecutionsBy -> SortPipelineExecutionsBy -> Bool #

(>=) :: SortPipelineExecutionsBy -> SortPipelineExecutionsBy -> Bool #

max :: SortPipelineExecutionsBy -> SortPipelineExecutionsBy -> SortPipelineExecutionsBy #

min :: SortPipelineExecutionsBy -> SortPipelineExecutionsBy -> SortPipelineExecutionsBy #

Hashable SortPipelineExecutionsBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortPipelineExecutionsBy

Methods

hashWithSalt :: Int -> SortPipelineExecutionsBy -> Int #

hash :: SortPipelineExecutionsBy -> Int #

type Rep SortPipelineExecutionsBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortPipelineExecutionsBy

type Rep SortPipelineExecutionsBy = D1 ('MetaData "SortPipelineExecutionsBy" "Amazonka.SageMaker.Types.SortPipelineExecutionsBy" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'True) (C1 ('MetaCons "SortPipelineExecutionsBy'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromSortPipelineExecutionsBy") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

SortPipelinesBy

newtype SortPipelinesBy Source #

Constructors

SortPipelinesBy' 

Fields

Bundled Patterns

pattern SortPipelinesBy_CreationTime :: SortPipelinesBy 
pattern SortPipelinesBy_Name :: SortPipelinesBy 

Instances

Instances details
FromJSON SortPipelinesBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortPipelinesBy

Methods

parseJSON :: Value -> Parser SortPipelinesBy #

parseJSONList :: Value -> Parser [SortPipelinesBy] #

FromJSONKey SortPipelinesBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortPipelinesBy

Methods

fromJSONKey :: FromJSONKeyFunction SortPipelinesBy #

fromJSONKeyList :: FromJSONKeyFunction [SortPipelinesBy] #

ToJSON SortPipelinesBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortPipelinesBy

Methods

toJSON :: SortPipelinesBy -> Value #

toEncoding :: SortPipelinesBy -> Encoding #

toJSONList :: [SortPipelinesBy] -> Value #

toEncodingList :: [SortPipelinesBy] -> Encoding #

ToJSONKey SortPipelinesBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortPipelinesBy

Methods

toJSONKey :: ToJSONKeyFunction SortPipelinesBy #

toJSONKeyList :: ToJSONKeyFunction [SortPipelinesBy] #

ToByteString SortPipelinesBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortPipelinesBy

Methods

toBS :: SortPipelinesBy -> ByteString #

ToHeader SortPipelinesBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortPipelinesBy

Methods

toHeader :: HeaderName -> SortPipelinesBy -> [Header] #

ToLog SortPipelinesBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortPipelinesBy

Methods

build :: SortPipelinesBy -> ByteStringBuilder #

ToQuery SortPipelinesBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortPipelinesBy

Methods

toQuery :: SortPipelinesBy -> QueryString #

FromText SortPipelinesBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortPipelinesBy

Methods

fromText :: Text -> Either String SortPipelinesBy #

ToText SortPipelinesBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortPipelinesBy

Methods

toText :: SortPipelinesBy -> Text #

FromXML SortPipelinesBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortPipelinesBy

Methods

parseXML :: [Node] -> Either String SortPipelinesBy #

ToXML SortPipelinesBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortPipelinesBy

Methods

toXML :: SortPipelinesBy -> XML #

Generic SortPipelinesBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortPipelinesBy

Associated Types

type Rep SortPipelinesBy :: Type -> Type #

Methods

from :: SortPipelinesBy -> Rep SortPipelinesBy x #

to :: Rep SortPipelinesBy x -> SortPipelinesBy #

Read SortPipelinesBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortPipelinesBy

Methods

readsPrec :: Int -> ReadS SortPipelinesBy #

readList :: ReadS [SortPipelinesBy] #

readPrec :: ReadPrec SortPipelinesBy #

readListPrec :: ReadPrec [SortPipelinesBy] #

Show SortPipelinesBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortPipelinesBy

Methods

showsPrec :: Int -> SortPipelinesBy -> ShowS #

show :: SortPipelinesBy -> String #

showList :: [SortPipelinesBy] -> ShowS #

NFData SortPipelinesBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortPipelinesBy

Methods

rnf :: SortPipelinesBy -> () #

Eq SortPipelinesBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortPipelinesBy

Methods

(==) :: SortPipelinesBy -> SortPipelinesBy -> Bool #

(/=) :: SortPipelinesBy -> SortPipelinesBy -> Bool #

Ord SortPipelinesBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortPipelinesBy

Methods

compare :: SortPipelinesBy -> SortPipelinesBy -> Ordering #

(<) :: SortPipelinesBy -> SortPipelinesBy -> Bool #

(<=) :: SortPipelinesBy -> SortPipelinesBy -> Bool #

(>) :: SortPipelinesBy -> SortPipelinesBy -> Bool #

(>=) :: SortPipelinesBy -> SortPipelinesBy -> Bool #

max :: SortPipelinesBy -> SortPipelinesBy -> SortPipelinesBy #

min :: SortPipelinesBy -> SortPipelinesBy -> SortPipelinesBy #

Hashable SortPipelinesBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortPipelinesBy

Methods

hashWithSalt :: Int -> SortPipelinesBy -> Int #

hash :: SortPipelinesBy -> Int #

type Rep SortPipelinesBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortPipelinesBy

type Rep SortPipelinesBy = D1 ('MetaData "SortPipelinesBy" "Amazonka.SageMaker.Types.SortPipelinesBy" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'True) (C1 ('MetaCons "SortPipelinesBy'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromSortPipelinesBy") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

SortTrialComponentsBy

newtype SortTrialComponentsBy Source #

Constructors

SortTrialComponentsBy' 

Fields

Bundled Patterns

pattern SortTrialComponentsBy_CreationTime :: SortTrialComponentsBy 
pattern SortTrialComponentsBy_Name :: SortTrialComponentsBy 

Instances

Instances details
FromJSON SortTrialComponentsBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortTrialComponentsBy

Methods

parseJSON :: Value -> Parser SortTrialComponentsBy #

parseJSONList :: Value -> Parser [SortTrialComponentsBy] #

FromJSONKey SortTrialComponentsBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortTrialComponentsBy

Methods

fromJSONKey :: FromJSONKeyFunction SortTrialComponentsBy #

fromJSONKeyList :: FromJSONKeyFunction [SortTrialComponentsBy] #

ToJSON SortTrialComponentsBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortTrialComponentsBy

Methods

toJSON :: SortTrialComponentsBy -> Value #

toEncoding :: SortTrialComponentsBy -> Encoding #

toJSONList :: [SortTrialComponentsBy] -> Value #

toEncodingList :: [SortTrialComponentsBy] -> Encoding #

ToJSONKey SortTrialComponentsBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortTrialComponentsBy

Methods

toJSONKey :: ToJSONKeyFunction SortTrialComponentsBy #

toJSONKeyList :: ToJSONKeyFunction [SortTrialComponentsBy] #

ToByteString SortTrialComponentsBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortTrialComponentsBy

Methods

toBS :: SortTrialComponentsBy -> ByteString #

ToHeader SortTrialComponentsBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortTrialComponentsBy

Methods

toHeader :: HeaderName -> SortTrialComponentsBy -> [Header] #

ToLog SortTrialComponentsBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortTrialComponentsBy

Methods

build :: SortTrialComponentsBy -> ByteStringBuilder #

ToQuery SortTrialComponentsBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortTrialComponentsBy

Methods

toQuery :: SortTrialComponentsBy -> QueryString #

FromText SortTrialComponentsBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortTrialComponentsBy

Methods

fromText :: Text -> Either String SortTrialComponentsBy #

ToText SortTrialComponentsBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortTrialComponentsBy

Methods

toText :: SortTrialComponentsBy -> Text #

FromXML SortTrialComponentsBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortTrialComponentsBy

Methods

parseXML :: [Node] -> Either String SortTrialComponentsBy #

ToXML SortTrialComponentsBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortTrialComponentsBy

Methods

toXML :: SortTrialComponentsBy -> XML #

Generic SortTrialComponentsBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortTrialComponentsBy

Associated Types

type Rep SortTrialComponentsBy :: Type -> Type #

Methods

from :: SortTrialComponentsBy -> Rep SortTrialComponentsBy x #

to :: Rep SortTrialComponentsBy x -> SortTrialComponentsBy #

Read SortTrialComponentsBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortTrialComponentsBy

Methods

readsPrec :: Int -> ReadS SortTrialComponentsBy #

readList :: ReadS [SortTrialComponentsBy] #

readPrec :: ReadPrec SortTrialComponentsBy #

readListPrec :: ReadPrec [SortTrialComponentsBy] #

Show SortTrialComponentsBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortTrialComponentsBy

Methods

showsPrec :: Int -> SortTrialComponentsBy -> ShowS #

show :: SortTrialComponentsBy -> String #

showList :: [SortTrialComponentsBy] -> ShowS #

NFData SortTrialComponentsBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortTrialComponentsBy

Methods

rnf :: SortTrialComponentsBy -> () #

Eq SortTrialComponentsBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortTrialComponentsBy

Methods

(==) :: SortTrialComponentsBy -> SortTrialComponentsBy -> Bool #

(/=) :: SortTrialComponentsBy -> SortTrialComponentsBy -> Bool #

Ord SortTrialComponentsBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortTrialComponentsBy

Methods

compare :: SortTrialComponentsBy -> SortTrialComponentsBy -> Ordering #

(<) :: SortTrialComponentsBy -> SortTrialComponentsBy -> Bool #

(<=) :: SortTrialComponentsBy -> SortTrialComponentsBy -> Bool #

(>) :: SortTrialComponentsBy -> SortTrialComponentsBy -> Bool #

(>=) :: SortTrialComponentsBy -> SortTrialComponentsBy -> Bool #

max :: SortTrialComponentsBy -> SortTrialComponentsBy -> SortTrialComponentsBy #

min :: SortTrialComponentsBy -> SortTrialComponentsBy -> SortTrialComponentsBy #

Hashable SortTrialComponentsBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortTrialComponentsBy

Methods

hashWithSalt :: Int -> SortTrialComponentsBy -> Int #

hash :: SortTrialComponentsBy -> Int #

type Rep SortTrialComponentsBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortTrialComponentsBy

type Rep SortTrialComponentsBy = D1 ('MetaData "SortTrialComponentsBy" "Amazonka.SageMaker.Types.SortTrialComponentsBy" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'True) (C1 ('MetaCons "SortTrialComponentsBy'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromSortTrialComponentsBy") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

SortTrialsBy

newtype SortTrialsBy Source #

Constructors

SortTrialsBy' 

Fields

Bundled Patterns

pattern SortTrialsBy_CreationTime :: SortTrialsBy 
pattern SortTrialsBy_Name :: SortTrialsBy 

Instances

Instances details
FromJSON SortTrialsBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortTrialsBy

Methods

parseJSON :: Value -> Parser SortTrialsBy #

parseJSONList :: Value -> Parser [SortTrialsBy] #

FromJSONKey SortTrialsBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortTrialsBy

Methods

fromJSONKey :: FromJSONKeyFunction SortTrialsBy #

fromJSONKeyList :: FromJSONKeyFunction [SortTrialsBy] #

ToJSON SortTrialsBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortTrialsBy

Methods

toJSON :: SortTrialsBy -> Value #

toEncoding :: SortTrialsBy -> Encoding #

toJSONList :: [SortTrialsBy] -> Value #

toEncodingList :: [SortTrialsBy] -> Encoding #

ToJSONKey SortTrialsBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortTrialsBy

Methods

toJSONKey :: ToJSONKeyFunction SortTrialsBy #

toJSONKeyList :: ToJSONKeyFunction [SortTrialsBy] #

ToByteString SortTrialsBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortTrialsBy

Methods

toBS :: SortTrialsBy -> ByteString #

ToHeader SortTrialsBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortTrialsBy

Methods

toHeader :: HeaderName -> SortTrialsBy -> [Header] #

ToLog SortTrialsBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortTrialsBy

Methods

build :: SortTrialsBy -> ByteStringBuilder #

ToQuery SortTrialsBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortTrialsBy

Methods

toQuery :: SortTrialsBy -> QueryString #

FromText SortTrialsBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortTrialsBy

Methods

fromText :: Text -> Either String SortTrialsBy #

ToText SortTrialsBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortTrialsBy

Methods

toText :: SortTrialsBy -> Text #

FromXML SortTrialsBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortTrialsBy

Methods

parseXML :: [Node] -> Either String SortTrialsBy #

ToXML SortTrialsBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortTrialsBy

Methods

toXML :: SortTrialsBy -> XML #

Generic SortTrialsBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortTrialsBy

Associated Types

type Rep SortTrialsBy :: Type -> Type #

Methods

from :: SortTrialsBy -> Rep SortTrialsBy x #

to :: Rep SortTrialsBy x -> SortTrialsBy #

Read SortTrialsBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortTrialsBy

Methods

readsPrec :: Int -> ReadS SortTrialsBy #

readList :: ReadS [SortTrialsBy] #

readPrec :: ReadPrec SortTrialsBy #

readListPrec :: ReadPrec [SortTrialsBy] #

Show SortTrialsBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortTrialsBy

Methods

showsPrec :: Int -> SortTrialsBy -> ShowS #

show :: SortTrialsBy -> String #

showList :: [SortTrialsBy] -> ShowS #

NFData SortTrialsBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortTrialsBy

Methods

rnf :: SortTrialsBy -> () #

Eq SortTrialsBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortTrialsBy

Methods

(==) :: SortTrialsBy -> SortTrialsBy -> Bool #

(/=) :: SortTrialsBy -> SortTrialsBy -> Bool #

Ord SortTrialsBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortTrialsBy

Methods

compare :: SortTrialsBy -> SortTrialsBy -> Ordering #

(<) :: SortTrialsBy -> SortTrialsBy -> Bool #

(<=) :: SortTrialsBy -> SortTrialsBy -> Bool #

(>) :: SortTrialsBy -> SortTrialsBy -> Bool #

(>=) :: SortTrialsBy -> SortTrialsBy -> Bool #

max :: SortTrialsBy -> SortTrialsBy -> SortTrialsBy #

min :: SortTrialsBy -> SortTrialsBy -> SortTrialsBy #

Hashable SortTrialsBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortTrialsBy

Methods

hashWithSalt :: Int -> SortTrialsBy -> Int #

hash :: SortTrialsBy -> Int #

type Rep SortTrialsBy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SortTrialsBy

type Rep SortTrialsBy = D1 ('MetaData "SortTrialsBy" "Amazonka.SageMaker.Types.SortTrialsBy" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'True) (C1 ('MetaCons "SortTrialsBy'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromSortTrialsBy") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

SpaceSortKey

newtype SpaceSortKey Source #

Constructors

SpaceSortKey' 

Fields

Bundled Patterns

pattern SpaceSortKey_CreationTime :: SpaceSortKey 
pattern SpaceSortKey_LastModifiedTime :: SpaceSortKey 

Instances

Instances details
FromJSON SpaceSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SpaceSortKey

Methods

parseJSON :: Value -> Parser SpaceSortKey #

parseJSONList :: Value -> Parser [SpaceSortKey] #

FromJSONKey SpaceSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SpaceSortKey

Methods

fromJSONKey :: FromJSONKeyFunction SpaceSortKey #

fromJSONKeyList :: FromJSONKeyFunction [SpaceSortKey] #

ToJSON SpaceSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SpaceSortKey

Methods

toJSON :: SpaceSortKey -> Value #

toEncoding :: SpaceSortKey -> Encoding #

toJSONList :: [SpaceSortKey] -> Value #

toEncodingList :: [SpaceSortKey] -> Encoding #

ToJSONKey SpaceSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SpaceSortKey

Methods

toJSONKey :: ToJSONKeyFunction SpaceSortKey #

toJSONKeyList :: ToJSONKeyFunction [SpaceSortKey] #

ToByteString SpaceSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SpaceSortKey

Methods

toBS :: SpaceSortKey -> ByteString #

ToHeader SpaceSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SpaceSortKey

Methods

toHeader :: HeaderName -> SpaceSortKey -> [Header] #

ToLog SpaceSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SpaceSortKey

Methods

build :: SpaceSortKey -> ByteStringBuilder #

ToQuery SpaceSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SpaceSortKey

Methods

toQuery :: SpaceSortKey -> QueryString #

FromText SpaceSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SpaceSortKey

Methods

fromText :: Text -> Either String SpaceSortKey #

ToText SpaceSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SpaceSortKey

Methods

toText :: SpaceSortKey -> Text #

FromXML SpaceSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SpaceSortKey

Methods

parseXML :: [Node] -> Either String SpaceSortKey #

ToXML SpaceSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SpaceSortKey

Methods

toXML :: SpaceSortKey -> XML #

Generic SpaceSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SpaceSortKey

Associated Types

type Rep SpaceSortKey :: Type -> Type #

Methods

from :: SpaceSortKey -> Rep SpaceSortKey x #

to :: Rep SpaceSortKey x -> SpaceSortKey #

Read SpaceSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SpaceSortKey

Methods

readsPrec :: Int -> ReadS SpaceSortKey #

readList :: ReadS [SpaceSortKey] #

readPrec :: ReadPrec SpaceSortKey #

readListPrec :: ReadPrec [SpaceSortKey] #

Show SpaceSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SpaceSortKey

Methods

showsPrec :: Int -> SpaceSortKey -> ShowS #

show :: SpaceSortKey -> String #

showList :: [SpaceSortKey] -> ShowS #

NFData SpaceSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SpaceSortKey

Methods

rnf :: SpaceSortKey -> () #

Eq SpaceSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SpaceSortKey

Methods

(==) :: SpaceSortKey -> SpaceSortKey -> Bool #

(/=) :: SpaceSortKey -> SpaceSortKey -> Bool #

Ord SpaceSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SpaceSortKey

Methods

compare :: SpaceSortKey -> SpaceSortKey -> Ordering #

(<) :: SpaceSortKey -> SpaceSortKey -> Bool #

(<=) :: SpaceSortKey -> SpaceSortKey -> Bool #

(>) :: SpaceSortKey -> SpaceSortKey -> Bool #

(>=) :: SpaceSortKey -> SpaceSortKey -> Bool #

max :: SpaceSortKey -> SpaceSortKey -> SpaceSortKey #

min :: SpaceSortKey -> SpaceSortKey -> SpaceSortKey #

Hashable SpaceSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SpaceSortKey

Methods

hashWithSalt :: Int -> SpaceSortKey -> Int #

hash :: SpaceSortKey -> Int #

type Rep SpaceSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SpaceSortKey

type Rep SpaceSortKey = D1 ('MetaData "SpaceSortKey" "Amazonka.SageMaker.Types.SpaceSortKey" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'True) (C1 ('MetaCons "SpaceSortKey'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromSpaceSortKey") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

SpaceStatus

newtype SpaceStatus Source #

Constructors

SpaceStatus' 

Fields

Bundled Patterns

pattern SpaceStatus_Delete_Failed :: SpaceStatus 
pattern SpaceStatus_Deleting :: SpaceStatus 
pattern SpaceStatus_Failed :: SpaceStatus 
pattern SpaceStatus_InService :: SpaceStatus 
pattern SpaceStatus_Pending :: SpaceStatus 
pattern SpaceStatus_Update_Failed :: SpaceStatus 
pattern SpaceStatus_Updating :: SpaceStatus 

Instances

Instances details
FromJSON SpaceStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SpaceStatus

Methods

parseJSON :: Value -> Parser SpaceStatus #

parseJSONList :: Value -> Parser [SpaceStatus] #

FromJSONKey SpaceStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SpaceStatus

Methods

fromJSONKey :: FromJSONKeyFunction SpaceStatus #

fromJSONKeyList :: FromJSONKeyFunction [SpaceStatus] #

ToJSON SpaceStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SpaceStatus

Methods

toJSON :: SpaceStatus -> Value #

toEncoding :: SpaceStatus -> Encoding #

toJSONList :: [SpaceStatus] -> Value #

toEncodingList :: [SpaceStatus] -> Encoding #

ToJSONKey SpaceStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SpaceStatus

Methods

toJSONKey :: ToJSONKeyFunction SpaceStatus #

toJSONKeyList :: ToJSONKeyFunction [SpaceStatus] #

ToByteString SpaceStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SpaceStatus

Methods

toBS :: SpaceStatus -> ByteString #

ToHeader SpaceStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SpaceStatus

Methods

toHeader :: HeaderName -> SpaceStatus -> [Header] #

ToLog SpaceStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SpaceStatus

Methods

build :: SpaceStatus -> ByteStringBuilder #

ToQuery SpaceStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SpaceStatus

Methods

toQuery :: SpaceStatus -> QueryString #

FromText SpaceStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SpaceStatus

Methods

fromText :: Text -> Either String SpaceStatus #

ToText SpaceStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SpaceStatus

Methods

toText :: SpaceStatus -> Text #

FromXML SpaceStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SpaceStatus

Methods

parseXML :: [Node] -> Either String SpaceStatus #

ToXML SpaceStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SpaceStatus

Methods

toXML :: SpaceStatus -> XML #

Generic SpaceStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SpaceStatus

Associated Types

type Rep SpaceStatus :: Type -> Type #

Methods

from :: SpaceStatus -> Rep SpaceStatus x #

to :: Rep SpaceStatus x -> SpaceStatus #

Read SpaceStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SpaceStatus

Methods

readsPrec :: Int -> ReadS SpaceStatus #

readList :: ReadS [SpaceStatus] #

readPrec :: ReadPrec SpaceStatus #

readListPrec :: ReadPrec [SpaceStatus] #

Show SpaceStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SpaceStatus

Methods

showsPrec :: Int -> SpaceStatus -> ShowS #

show :: SpaceStatus -> String #

showList :: [SpaceStatus] -> ShowS #

NFData SpaceStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SpaceStatus

Methods

rnf :: SpaceStatus -> () #

Eq SpaceStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SpaceStatus

Methods

(==) :: SpaceStatus -> SpaceStatus -> Bool #

(/=) :: SpaceStatus -> SpaceStatus -> Bool #

Ord SpaceStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SpaceStatus

Methods

compare :: SpaceStatus -> SpaceStatus -> Ordering #

(<) :: SpaceStatus -> SpaceStatus -> Bool #

(<=) :: SpaceStatus -> SpaceStatus -> Bool #

(>) :: SpaceStatus -> SpaceStatus -> Bool #

(>=) :: SpaceStatus -> SpaceStatus -> Bool #

max :: SpaceStatus -> SpaceStatus -> SpaceStatus #

min :: SpaceStatus -> SpaceStatus -> SpaceStatus #

Hashable SpaceStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SpaceStatus

Methods

hashWithSalt :: Int -> SpaceStatus -> Int #

hash :: SpaceStatus -> Int #

type Rep SpaceStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SpaceStatus

type Rep SpaceStatus = D1 ('MetaData "SpaceStatus" "Amazonka.SageMaker.Types.SpaceStatus" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'True) (C1 ('MetaCons "SpaceStatus'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromSpaceStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

SplitType

newtype SplitType Source #

Constructors

SplitType' 

Fields

Bundled Patterns

pattern SplitType_Line :: SplitType 
pattern SplitType_None :: SplitType 
pattern SplitType_RecordIO :: SplitType 
pattern SplitType_TFRecord :: SplitType 

Instances

Instances details
FromJSON SplitType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SplitType

Methods

parseJSON :: Value -> Parser SplitType #

parseJSONList :: Value -> Parser [SplitType] #

FromJSONKey SplitType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SplitType

Methods

fromJSONKey :: FromJSONKeyFunction SplitType #

fromJSONKeyList :: FromJSONKeyFunction [SplitType] #

ToJSON SplitType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SplitType

Methods

toJSON :: SplitType -> Value #

toEncoding :: SplitType -> Encoding #

toJSONList :: [SplitType] -> Value #

toEncodingList :: [SplitType] -> Encoding #

ToJSONKey SplitType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SplitType

Methods

toJSONKey :: ToJSONKeyFunction SplitType #

toJSONKeyList :: ToJSONKeyFunction [SplitType] #

ToByteString SplitType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SplitType

Methods

toBS :: SplitType -> ByteString #

ToHeader SplitType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SplitType

Methods

toHeader :: HeaderName -> SplitType -> [Header] #

ToLog SplitType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SplitType

Methods

build :: SplitType -> ByteStringBuilder #

ToQuery SplitType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SplitType

Methods

toQuery :: SplitType -> QueryString #

FromText SplitType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SplitType

Methods

fromText :: Text -> Either String SplitType #

ToText SplitType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SplitType

Methods

toText :: SplitType -> Text #

FromXML SplitType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SplitType

Methods

parseXML :: [Node] -> Either String SplitType #

ToXML SplitType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SplitType

Methods

toXML :: SplitType -> XML #

Generic SplitType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SplitType

Associated Types

type Rep SplitType :: Type -> Type #

Methods

from :: SplitType -> Rep SplitType x #

to :: Rep SplitType x -> SplitType #

Read SplitType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SplitType

Methods

readsPrec :: Int -> ReadS SplitType #

readList :: ReadS [SplitType] #

readPrec :: ReadPrec SplitType #

readListPrec :: ReadPrec [SplitType] #

Show SplitType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SplitType

Methods

showsPrec :: Int -> SplitType -> ShowS #

show :: SplitType -> String #

showList :: [SplitType] -> ShowS #

NFData SplitType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SplitType

Methods

rnf :: SplitType -> () #

Eq SplitType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SplitType

Methods

(==) :: SplitType -> SplitType -> Bool #

(/=) :: SplitType -> SplitType -> Bool #

Ord SplitType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SplitType

Methods

compare :: SplitType -> SplitType -> Ordering #

(<) :: SplitType -> SplitType -> Bool #

(<=) :: SplitType -> SplitType -> Bool #

(>) :: SplitType -> SplitType -> Bool #

(>=) :: SplitType -> SplitType -> Bool #

max :: SplitType -> SplitType -> SplitType #

min :: SplitType -> SplitType -> SplitType #

Hashable SplitType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SplitType

Methods

hashWithSalt :: Int -> SplitType -> Int #

hash :: SplitType -> Int #

type Rep SplitType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SplitType

type Rep SplitType = D1 ('MetaData "SplitType" "Amazonka.SageMaker.Types.SplitType" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'True) (C1 ('MetaCons "SplitType'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromSplitType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

StageStatus

newtype StageStatus Source #

Constructors

StageStatus' 

Fields

Bundled Patterns

pattern StageStatus_CREATING :: StageStatus 
pattern StageStatus_DEPLOYED :: StageStatus 
pattern StageStatus_FAILED :: StageStatus 
pattern StageStatus_INPROGRESS :: StageStatus 
pattern StageStatus_READYTODEPLOY :: StageStatus 
pattern StageStatus_STARTING :: StageStatus 
pattern StageStatus_STOPPED :: StageStatus 
pattern StageStatus_STOPPING :: StageStatus 

Instances

Instances details
FromJSON StageStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.StageStatus

Methods

parseJSON :: Value -> Parser StageStatus #

parseJSONList :: Value -> Parser [StageStatus] #

FromJSONKey StageStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.StageStatus

Methods

fromJSONKey :: FromJSONKeyFunction StageStatus #

fromJSONKeyList :: FromJSONKeyFunction [StageStatus] #

ToJSON StageStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.StageStatus

Methods

toJSON :: StageStatus -> Value #

toEncoding :: StageStatus -> Encoding #

toJSONList :: [StageStatus] -> Value #

toEncodingList :: [StageStatus] -> Encoding #

ToJSONKey StageStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.StageStatus

Methods

toJSONKey :: ToJSONKeyFunction StageStatus #

toJSONKeyList :: ToJSONKeyFunction [StageStatus] #

ToByteString StageStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.StageStatus

Methods

toBS :: StageStatus -> ByteString #

ToHeader StageStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.StageStatus

Methods

toHeader :: HeaderName -> StageStatus -> [Header] #

ToLog StageStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.StageStatus

Methods

build :: StageStatus -> ByteStringBuilder #

ToQuery StageStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.StageStatus

Methods

toQuery :: StageStatus -> QueryString #

FromText StageStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.StageStatus

Methods

fromText :: Text -> Either String StageStatus #

ToText StageStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.StageStatus

Methods

toText :: StageStatus -> Text #

FromXML StageStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.StageStatus

Methods

parseXML :: [Node] -> Either String StageStatus #

ToXML StageStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.StageStatus

Methods

toXML :: StageStatus -> XML #

Generic StageStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.StageStatus

Associated Types

type Rep StageStatus :: Type -> Type #

Methods

from :: StageStatus -> Rep StageStatus x #

to :: Rep StageStatus x -> StageStatus #

Read StageStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.StageStatus

Methods

readsPrec :: Int -> ReadS StageStatus #

readList :: ReadS [StageStatus] #

readPrec :: ReadPrec StageStatus #

readListPrec :: ReadPrec [StageStatus] #

Show StageStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.StageStatus

Methods

showsPrec :: Int -> StageStatus -> ShowS #

show :: StageStatus -> String #

showList :: [StageStatus] -> ShowS #

NFData StageStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.StageStatus

Methods

rnf :: StageStatus -> () #

Eq StageStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.StageStatus

Methods

(==) :: StageStatus -> StageStatus -> Bool #

(/=) :: StageStatus -> StageStatus -> Bool #

Ord StageStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.StageStatus

Methods

compare :: StageStatus -> StageStatus -> Ordering #

(<) :: StageStatus -> StageStatus -> Bool #

(<=) :: StageStatus -> StageStatus -> Bool #

(>) :: StageStatus -> StageStatus -> Bool #

(>=) :: StageStatus -> StageStatus -> Bool #

max :: StageStatus -> StageStatus -> StageStatus #

min :: StageStatus -> StageStatus -> StageStatus #

Hashable StageStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.StageStatus

Methods

hashWithSalt :: Int -> StageStatus -> Int #

hash :: StageStatus -> Int #

type Rep StageStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.StageStatus

type Rep StageStatus = D1 ('MetaData "StageStatus" "Amazonka.SageMaker.Types.StageStatus" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'True) (C1 ('MetaCons "StageStatus'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromStageStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

StepStatus

newtype StepStatus Source #

Constructors

StepStatus' 

Fields

Bundled Patterns

pattern StepStatus_Executing :: StepStatus 
pattern StepStatus_Failed :: StepStatus 
pattern StepStatus_Starting :: StepStatus 
pattern StepStatus_Stopped :: StepStatus 
pattern StepStatus_Stopping :: StepStatus 
pattern StepStatus_Succeeded :: StepStatus 

Instances

Instances details
FromJSON StepStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.StepStatus

Methods

parseJSON :: Value -> Parser StepStatus #

parseJSONList :: Value -> Parser [StepStatus] #

FromJSONKey StepStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.StepStatus

Methods

fromJSONKey :: FromJSONKeyFunction StepStatus #

fromJSONKeyList :: FromJSONKeyFunction [StepStatus] #

ToJSON StepStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.StepStatus

Methods

toJSON :: StepStatus -> Value #

toEncoding :: StepStatus -> Encoding #

toJSONList :: [StepStatus] -> Value #

toEncodingList :: [StepStatus] -> Encoding #

ToJSONKey StepStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.StepStatus

Methods

toJSONKey :: ToJSONKeyFunction StepStatus #

toJSONKeyList :: ToJSONKeyFunction [StepStatus] #

ToByteString StepStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.StepStatus

Methods

toBS :: StepStatus -> ByteString #

ToHeader StepStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.StepStatus

Methods

toHeader :: HeaderName -> StepStatus -> [Header] #

ToLog StepStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.StepStatus

Methods

build :: StepStatus -> ByteStringBuilder #

ToQuery StepStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.StepStatus

Methods

toQuery :: StepStatus -> QueryString #

FromText StepStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.StepStatus

Methods

fromText :: Text -> Either String StepStatus #

ToText StepStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.StepStatus

Methods

toText :: StepStatus -> Text #

FromXML StepStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.StepStatus

Methods

parseXML :: [Node] -> Either String StepStatus #

ToXML StepStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.StepStatus

Methods

toXML :: StepStatus -> XML #

Generic StepStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.StepStatus

Associated Types

type Rep StepStatus :: Type -> Type #

Methods

from :: StepStatus -> Rep StepStatus x #

to :: Rep StepStatus x -> StepStatus #

Read StepStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.StepStatus

Methods

readsPrec :: Int -> ReadS StepStatus #

readList :: ReadS [StepStatus] #

readPrec :: ReadPrec StepStatus #

readListPrec :: ReadPrec [StepStatus] #

Show StepStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.StepStatus

Methods

showsPrec :: Int -> StepStatus -> ShowS #

show :: StepStatus -> String #

showList :: [StepStatus] -> ShowS #

NFData StepStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.StepStatus

Methods

rnf :: StepStatus -> () #

Eq StepStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.StepStatus

Methods

(==) :: StepStatus -> StepStatus -> Bool #

(/=) :: StepStatus -> StepStatus -> Bool #

Ord StepStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.StepStatus

Methods

compare :: StepStatus -> StepStatus -> Ordering #

(<) :: StepStatus -> StepStatus -> Bool #

(<=) :: StepStatus -> StepStatus -> Bool #

(>) :: StepStatus -> StepStatus -> Bool #

(>=) :: StepStatus -> StepStatus -> Bool #

max :: StepStatus -> StepStatus -> StepStatus #

min :: StepStatus -> StepStatus -> StepStatus #

Hashable StepStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.StepStatus

Methods

hashWithSalt :: Int -> StepStatus -> Int #

hash :: StepStatus -> Int #

type Rep StepStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.StepStatus

type Rep StepStatus = D1 ('MetaData "StepStatus" "Amazonka.SageMaker.Types.StepStatus" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'True) (C1 ('MetaCons "StepStatus'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromStepStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

StudioLifecycleConfigAppType

newtype StudioLifecycleConfigAppType Source #

Constructors

StudioLifecycleConfigAppType' 

Fields

Bundled Patterns

pattern StudioLifecycleConfigAppType_JupyterServer :: StudioLifecycleConfigAppType 
pattern StudioLifecycleConfigAppType_KernelGateway :: StudioLifecycleConfigAppType 

Instances

Instances details
FromJSON StudioLifecycleConfigAppType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.StudioLifecycleConfigAppType

Methods

parseJSON :: Value -> Parser StudioLifecycleConfigAppType #

parseJSONList :: Value -> Parser [StudioLifecycleConfigAppType] #

FromJSONKey StudioLifecycleConfigAppType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.StudioLifecycleConfigAppType

Methods

fromJSONKey :: FromJSONKeyFunction StudioLifecycleConfigAppType #

fromJSONKeyList :: FromJSONKeyFunction [StudioLifecycleConfigAppType] #

ToJSON StudioLifecycleConfigAppType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.StudioLifecycleConfigAppType

Methods

toJSON :: StudioLifecycleConfigAppType -> Value #

toEncoding :: StudioLifecycleConfigAppType -> Encoding #

toJSONList :: [StudioLifecycleConfigAppType] -> Value #

toEncodingList :: [StudioLifecycleConfigAppType] -> Encoding #

ToJSONKey StudioLifecycleConfigAppType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.StudioLifecycleConfigAppType

Methods

toJSONKey :: ToJSONKeyFunction StudioLifecycleConfigAppType #

toJSONKeyList :: ToJSONKeyFunction [StudioLifecycleConfigAppType] #

ToByteString StudioLifecycleConfigAppType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.StudioLifecycleConfigAppType

Methods

toBS :: StudioLifecycleConfigAppType -> ByteString #

ToHeader StudioLifecycleConfigAppType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.StudioLifecycleConfigAppType

Methods

toHeader :: HeaderName -> StudioLifecycleConfigAppType -> [Header] #

ToLog StudioLifecycleConfigAppType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.StudioLifecycleConfigAppType

Methods

build :: StudioLifecycleConfigAppType -> ByteStringBuilder #

ToQuery StudioLifecycleConfigAppType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.StudioLifecycleConfigAppType

Methods

toQuery :: StudioLifecycleConfigAppType -> QueryString #

FromText StudioLifecycleConfigAppType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.StudioLifecycleConfigAppType

Methods

fromText :: Text -> Either String StudioLifecycleConfigAppType #

ToText StudioLifecycleConfigAppType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.StudioLifecycleConfigAppType

Methods

toText :: StudioLifecycleConfigAppType -> Text #

FromXML StudioLifecycleConfigAppType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.StudioLifecycleConfigAppType

Methods

parseXML :: [Node] -> Either String StudioLifecycleConfigAppType #

ToXML StudioLifecycleConfigAppType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.StudioLifecycleConfigAppType

Methods

toXML :: StudioLifecycleConfigAppType -> XML #

Generic StudioLifecycleConfigAppType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.StudioLifecycleConfigAppType

Associated Types

type Rep StudioLifecycleConfigAppType :: Type -> Type #

Methods

from :: StudioLifecycleConfigAppType -> Rep StudioLifecycleConfigAppType x #

to :: Rep StudioLifecycleConfigAppType x -> StudioLifecycleConfigAppType #

Read StudioLifecycleConfigAppType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.StudioLifecycleConfigAppType

Methods

readsPrec :: Int -> ReadS StudioLifecycleConfigAppType #

readList :: ReadS [StudioLifecycleConfigAppType] #

readPrec :: ReadPrec StudioLifecycleConfigAppType #

readListPrec :: ReadPrec [StudioLifecycleConfigAppType] #

Show StudioLifecycleConfigAppType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.StudioLifecycleConfigAppType

Methods

showsPrec :: Int -> StudioLifecycleConfigAppType -> ShowS #

show :: StudioLifecycleConfigAppType -> String #

showList :: [StudioLifecycleConfigAppType] -> ShowS #

NFData StudioLifecycleConfigAppType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.StudioLifecycleConfigAppType

Methods

rnf :: StudioLifecycleConfigAppType -> () #

Eq StudioLifecycleConfigAppType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.StudioLifecycleConfigAppType

Methods

(==) :: StudioLifecycleConfigAppType -> StudioLifecycleConfigAppType -> Bool #

(/=) :: StudioLifecycleConfigAppType -> StudioLifecycleConfigAppType -> Bool #

Ord StudioLifecycleConfigAppType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.StudioLifecycleConfigAppType

Methods

compare :: StudioLifecycleConfigAppType -> StudioLifecycleConfigAppType -> Ordering #

(<) :: StudioLifecycleConfigAppType -> StudioLifecycleConfigAppType -> Bool #

(<=) :: StudioLifecycleConfigAppType -> StudioLifecycleConfigAppType -> Bool #

(>) :: StudioLifecycleConfigAppType -> StudioLifecycleConfigAppType -> Bool #

(>=) :: StudioLifecycleConfigAppType -> StudioLifecycleConfigAppType -> Bool #

max :: StudioLifecycleConfigAppType -> StudioLifecycleConfigAppType -> StudioLifecycleConfigAppType #

min :: StudioLifecycleConfigAppType -> StudioLifecycleConfigAppType -> StudioLifecycleConfigAppType #

Hashable StudioLifecycleConfigAppType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.StudioLifecycleConfigAppType

Methods

hashWithSalt :: Int -> StudioLifecycleConfigAppType -> Int #

hash :: StudioLifecycleConfigAppType -> Int #

type Rep StudioLifecycleConfigAppType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.StudioLifecycleConfigAppType

type Rep StudioLifecycleConfigAppType = D1 ('MetaData "StudioLifecycleConfigAppType" "Amazonka.SageMaker.Types.StudioLifecycleConfigAppType" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'True) (C1 ('MetaCons "StudioLifecycleConfigAppType'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromStudioLifecycleConfigAppType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

StudioLifecycleConfigSortKey

newtype StudioLifecycleConfigSortKey Source #

Constructors

StudioLifecycleConfigSortKey' 

Fields

Bundled Patterns

pattern StudioLifecycleConfigSortKey_CreationTime :: StudioLifecycleConfigSortKey 
pattern StudioLifecycleConfigSortKey_LastModifiedTime :: StudioLifecycleConfigSortKey 
pattern StudioLifecycleConfigSortKey_Name :: StudioLifecycleConfigSortKey 

Instances

Instances details
FromJSON StudioLifecycleConfigSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.StudioLifecycleConfigSortKey

Methods

parseJSON :: Value -> Parser StudioLifecycleConfigSortKey #

parseJSONList :: Value -> Parser [StudioLifecycleConfigSortKey] #

FromJSONKey StudioLifecycleConfigSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.StudioLifecycleConfigSortKey

Methods

fromJSONKey :: FromJSONKeyFunction StudioLifecycleConfigSortKey #

fromJSONKeyList :: FromJSONKeyFunction [StudioLifecycleConfigSortKey] #

ToJSON StudioLifecycleConfigSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.StudioLifecycleConfigSortKey

Methods

toJSON :: StudioLifecycleConfigSortKey -> Value #

toEncoding :: StudioLifecycleConfigSortKey -> Encoding #

toJSONList :: [StudioLifecycleConfigSortKey] -> Value #

toEncodingList :: [StudioLifecycleConfigSortKey] -> Encoding #

ToJSONKey StudioLifecycleConfigSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.StudioLifecycleConfigSortKey

Methods

toJSONKey :: ToJSONKeyFunction StudioLifecycleConfigSortKey #

toJSONKeyList :: ToJSONKeyFunction [StudioLifecycleConfigSortKey] #

ToByteString StudioLifecycleConfigSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.StudioLifecycleConfigSortKey

Methods

toBS :: StudioLifecycleConfigSortKey -> ByteString #

ToHeader StudioLifecycleConfigSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.StudioLifecycleConfigSortKey

Methods

toHeader :: HeaderName -> StudioLifecycleConfigSortKey -> [Header] #

ToLog StudioLifecycleConfigSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.StudioLifecycleConfigSortKey

Methods

build :: StudioLifecycleConfigSortKey -> ByteStringBuilder #

ToQuery StudioLifecycleConfigSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.StudioLifecycleConfigSortKey

Methods

toQuery :: StudioLifecycleConfigSortKey -> QueryString #

FromText StudioLifecycleConfigSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.StudioLifecycleConfigSortKey

Methods

fromText :: Text -> Either String StudioLifecycleConfigSortKey #

ToText StudioLifecycleConfigSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.StudioLifecycleConfigSortKey

Methods

toText :: StudioLifecycleConfigSortKey -> Text #

FromXML StudioLifecycleConfigSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.StudioLifecycleConfigSortKey

Methods

parseXML :: [Node] -> Either String StudioLifecycleConfigSortKey #

ToXML StudioLifecycleConfigSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.StudioLifecycleConfigSortKey

Methods

toXML :: StudioLifecycleConfigSortKey -> XML #

Generic StudioLifecycleConfigSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.StudioLifecycleConfigSortKey

Associated Types

type Rep StudioLifecycleConfigSortKey :: Type -> Type #

Methods

from :: StudioLifecycleConfigSortKey -> Rep StudioLifecycleConfigSortKey x #

to :: Rep StudioLifecycleConfigSortKey x -> StudioLifecycleConfigSortKey #

Read StudioLifecycleConfigSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.StudioLifecycleConfigSortKey

Methods

readsPrec :: Int -> ReadS StudioLifecycleConfigSortKey #

readList :: ReadS [StudioLifecycleConfigSortKey] #

readPrec :: ReadPrec StudioLifecycleConfigSortKey #

readListPrec :: ReadPrec [StudioLifecycleConfigSortKey] #

Show StudioLifecycleConfigSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.StudioLifecycleConfigSortKey

Methods

showsPrec :: Int -> StudioLifecycleConfigSortKey -> ShowS #

show :: StudioLifecycleConfigSortKey -> String #

showList :: [StudioLifecycleConfigSortKey] -> ShowS #

NFData StudioLifecycleConfigSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.StudioLifecycleConfigSortKey

Methods

rnf :: StudioLifecycleConfigSortKey -> () #

Eq StudioLifecycleConfigSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.StudioLifecycleConfigSortKey

Methods

(==) :: StudioLifecycleConfigSortKey -> StudioLifecycleConfigSortKey -> Bool #

(/=) :: StudioLifecycleConfigSortKey -> StudioLifecycleConfigSortKey -> Bool #

Ord StudioLifecycleConfigSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.StudioLifecycleConfigSortKey

Methods

compare :: StudioLifecycleConfigSortKey -> StudioLifecycleConfigSortKey -> Ordering #

(<) :: StudioLifecycleConfigSortKey -> StudioLifecycleConfigSortKey -> Bool #

(<=) :: StudioLifecycleConfigSortKey -> StudioLifecycleConfigSortKey -> Bool #

(>) :: StudioLifecycleConfigSortKey -> StudioLifecycleConfigSortKey -> Bool #

(>=) :: StudioLifecycleConfigSortKey -> StudioLifecycleConfigSortKey -> Bool #

max :: StudioLifecycleConfigSortKey -> StudioLifecycleConfigSortKey -> StudioLifecycleConfigSortKey #

min :: StudioLifecycleConfigSortKey -> StudioLifecycleConfigSortKey -> StudioLifecycleConfigSortKey #

Hashable StudioLifecycleConfigSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.StudioLifecycleConfigSortKey

Methods

hashWithSalt :: Int -> StudioLifecycleConfigSortKey -> Int #

hash :: StudioLifecycleConfigSortKey -> Int #

type Rep StudioLifecycleConfigSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.StudioLifecycleConfigSortKey

type Rep StudioLifecycleConfigSortKey = D1 ('MetaData "StudioLifecycleConfigSortKey" "Amazonka.SageMaker.Types.StudioLifecycleConfigSortKey" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'True) (C1 ('MetaCons "StudioLifecycleConfigSortKey'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromStudioLifecycleConfigSortKey") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

TableFormat

newtype TableFormat Source #

Constructors

TableFormat' 

Fields

Bundled Patterns

pattern TableFormat_Glue :: TableFormat 
pattern TableFormat_Iceberg :: TableFormat 

Instances

Instances details
FromJSON TableFormat Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TableFormat

Methods

parseJSON :: Value -> Parser TableFormat #

parseJSONList :: Value -> Parser [TableFormat] #

FromJSONKey TableFormat Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TableFormat

Methods

fromJSONKey :: FromJSONKeyFunction TableFormat #

fromJSONKeyList :: FromJSONKeyFunction [TableFormat] #

ToJSON TableFormat Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TableFormat

Methods

toJSON :: TableFormat -> Value #

toEncoding :: TableFormat -> Encoding #

toJSONList :: [TableFormat] -> Value #

toEncodingList :: [TableFormat] -> Encoding #

ToJSONKey TableFormat Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TableFormat

Methods

toJSONKey :: ToJSONKeyFunction TableFormat #

toJSONKeyList :: ToJSONKeyFunction [TableFormat] #

ToByteString TableFormat Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TableFormat

Methods

toBS :: TableFormat -> ByteString #

ToHeader TableFormat Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TableFormat

Methods

toHeader :: HeaderName -> TableFormat -> [Header] #

ToLog TableFormat Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TableFormat

Methods

build :: TableFormat -> ByteStringBuilder #

ToQuery TableFormat Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TableFormat

Methods

toQuery :: TableFormat -> QueryString #

FromText TableFormat Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TableFormat

Methods

fromText :: Text -> Either String TableFormat #

ToText TableFormat Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TableFormat

Methods

toText :: TableFormat -> Text #

FromXML TableFormat Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TableFormat

Methods

parseXML :: [Node] -> Either String TableFormat #

ToXML TableFormat Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TableFormat

Methods

toXML :: TableFormat -> XML #

Generic TableFormat Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TableFormat

Associated Types

type Rep TableFormat :: Type -> Type #

Methods

from :: TableFormat -> Rep TableFormat x #

to :: Rep TableFormat x -> TableFormat #

Read TableFormat Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TableFormat

Methods

readsPrec :: Int -> ReadS TableFormat #

readList :: ReadS [TableFormat] #

readPrec :: ReadPrec TableFormat #

readListPrec :: ReadPrec [TableFormat] #

Show TableFormat Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TableFormat

Methods

showsPrec :: Int -> TableFormat -> ShowS #

show :: TableFormat -> String #

showList :: [TableFormat] -> ShowS #

NFData TableFormat Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TableFormat

Methods

rnf :: TableFormat -> () #

Eq TableFormat Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TableFormat

Methods

(==) :: TableFormat -> TableFormat -> Bool #

(/=) :: TableFormat -> TableFormat -> Bool #

Ord TableFormat Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TableFormat

Methods

compare :: TableFormat -> TableFormat -> Ordering #

(<) :: TableFormat -> TableFormat -> Bool #

(<=) :: TableFormat -> TableFormat -> Bool #

(>) :: TableFormat -> TableFormat -> Bool #

(>=) :: TableFormat -> TableFormat -> Bool #

max :: TableFormat -> TableFormat -> TableFormat #

min :: TableFormat -> TableFormat -> TableFormat #

Hashable TableFormat Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TableFormat

Methods

hashWithSalt :: Int -> TableFormat -> Int #

hash :: TableFormat -> Int #

type Rep TableFormat Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TableFormat

type Rep TableFormat = D1 ('MetaData "TableFormat" "Amazonka.SageMaker.Types.TableFormat" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'True) (C1 ('MetaCons "TableFormat'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromTableFormat") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

TargetDevice

newtype TargetDevice Source #

Constructors

TargetDevice' 

Fields

Bundled Patterns

pattern TargetDevice_Aisage :: TargetDevice 
pattern TargetDevice_Amba_cv2 :: TargetDevice 
pattern TargetDevice_Amba_cv22 :: TargetDevice 
pattern TargetDevice_Amba_cv25 :: TargetDevice 
pattern TargetDevice_Coreml :: TargetDevice 
pattern TargetDevice_Deeplens :: TargetDevice 
pattern TargetDevice_Imx8mplus :: TargetDevice 
pattern TargetDevice_Imx8qm :: TargetDevice 
pattern TargetDevice_Jacinto_tda4vm :: TargetDevice 
pattern TargetDevice_Jetson_nano :: TargetDevice 
pattern TargetDevice_Jetson_tx1 :: TargetDevice 
pattern TargetDevice_Jetson_tx2 :: TargetDevice 
pattern TargetDevice_Jetson_xavier :: TargetDevice 
pattern TargetDevice_Lambda :: TargetDevice 
pattern TargetDevice_Ml_c4 :: TargetDevice 
pattern TargetDevice_Ml_c5 :: TargetDevice 
pattern TargetDevice_Ml_eia2 :: TargetDevice 
pattern TargetDevice_Ml_g4dn :: TargetDevice 
pattern TargetDevice_Ml_inf1 :: TargetDevice 
pattern TargetDevice_Ml_m4 :: TargetDevice 
pattern TargetDevice_Ml_m5 :: TargetDevice 
pattern TargetDevice_Ml_p2 :: TargetDevice 
pattern TargetDevice_Ml_p3 :: TargetDevice 
pattern TargetDevice_Qcs603 :: TargetDevice 
pattern TargetDevice_Qcs605 :: TargetDevice 
pattern TargetDevice_Rasp3b :: TargetDevice 
pattern TargetDevice_Rk3288 :: TargetDevice 
pattern TargetDevice_Rk3399 :: TargetDevice 
pattern TargetDevice_Sbe_c :: TargetDevice 
pattern TargetDevice_Sitara_am57x :: TargetDevice 
pattern TargetDevice_X86_win32 :: TargetDevice 
pattern TargetDevice_X86_win64 :: TargetDevice 

Instances

Instances details
FromJSON TargetDevice Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TargetDevice

Methods

parseJSON :: Value -> Parser TargetDevice #

parseJSONList :: Value -> Parser [TargetDevice] #

FromJSONKey TargetDevice Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TargetDevice

Methods

fromJSONKey :: FromJSONKeyFunction TargetDevice #

fromJSONKeyList :: FromJSONKeyFunction [TargetDevice] #

ToJSON TargetDevice Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TargetDevice

Methods

toJSON :: TargetDevice -> Value #

toEncoding :: TargetDevice -> Encoding #

toJSONList :: [TargetDevice] -> Value #

toEncodingList :: [TargetDevice] -> Encoding #

ToJSONKey TargetDevice Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TargetDevice

Methods

toJSONKey :: ToJSONKeyFunction TargetDevice #

toJSONKeyList :: ToJSONKeyFunction [TargetDevice] #

ToByteString TargetDevice Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TargetDevice

Methods

toBS :: TargetDevice -> ByteString #

ToHeader TargetDevice Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TargetDevice

Methods

toHeader :: HeaderName -> TargetDevice -> [Header] #

ToLog TargetDevice Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TargetDevice

Methods

build :: TargetDevice -> ByteStringBuilder #

ToQuery TargetDevice Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TargetDevice

Methods

toQuery :: TargetDevice -> QueryString #

FromText TargetDevice Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TargetDevice

Methods

fromText :: Text -> Either String TargetDevice #

ToText TargetDevice Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TargetDevice

Methods

toText :: TargetDevice -> Text #

FromXML TargetDevice Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TargetDevice

Methods

parseXML :: [Node] -> Either String TargetDevice #

ToXML TargetDevice Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TargetDevice

Methods

toXML :: TargetDevice -> XML #

Generic TargetDevice Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TargetDevice

Associated Types

type Rep TargetDevice :: Type -> Type #

Methods

from :: TargetDevice -> Rep TargetDevice x #

to :: Rep TargetDevice x -> TargetDevice #

Read TargetDevice Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TargetDevice

Methods

readsPrec :: Int -> ReadS TargetDevice #

readList :: ReadS [TargetDevice] #

readPrec :: ReadPrec TargetDevice #

readListPrec :: ReadPrec [TargetDevice] #

Show TargetDevice Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TargetDevice

Methods

showsPrec :: Int -> TargetDevice -> ShowS #

show :: TargetDevice -> String #

showList :: [TargetDevice] -> ShowS #

NFData TargetDevice Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TargetDevice

Methods

rnf :: TargetDevice -> () #

Eq TargetDevice Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TargetDevice

Methods

(==) :: TargetDevice -> TargetDevice -> Bool #

(/=) :: TargetDevice -> TargetDevice -> Bool #

Ord TargetDevice Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TargetDevice

Methods

compare :: TargetDevice -> TargetDevice -> Ordering #

(<) :: TargetDevice -> TargetDevice -> Bool #

(<=) :: TargetDevice -> TargetDevice -> Bool #

(>) :: TargetDevice -> TargetDevice -> Bool #

(>=) :: TargetDevice -> TargetDevice -> Bool #

max :: TargetDevice -> TargetDevice -> TargetDevice #

min :: TargetDevice -> TargetDevice -> TargetDevice #

Hashable TargetDevice Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TargetDevice

Methods

hashWithSalt :: Int -> TargetDevice -> Int #

hash :: TargetDevice -> Int #

type Rep TargetDevice Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TargetDevice

type Rep TargetDevice = D1 ('MetaData "TargetDevice" "Amazonka.SageMaker.Types.TargetDevice" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'True) (C1 ('MetaCons "TargetDevice'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromTargetDevice") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

TargetPlatformAccelerator

newtype TargetPlatformAccelerator Source #

Constructors

TargetPlatformAccelerator' 

Fields

Bundled Patterns

pattern TargetPlatformAccelerator_INTEL_GRAPHICS :: TargetPlatformAccelerator 
pattern TargetPlatformAccelerator_MALI :: TargetPlatformAccelerator 
pattern TargetPlatformAccelerator_NNA :: TargetPlatformAccelerator 
pattern TargetPlatformAccelerator_NVIDIA :: TargetPlatformAccelerator 

Instances

Instances details
FromJSON TargetPlatformAccelerator Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TargetPlatformAccelerator

Methods

parseJSON :: Value -> Parser TargetPlatformAccelerator #

parseJSONList :: Value -> Parser [TargetPlatformAccelerator] #

FromJSONKey TargetPlatformAccelerator Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TargetPlatformAccelerator

Methods

fromJSONKey :: FromJSONKeyFunction TargetPlatformAccelerator #

fromJSONKeyList :: FromJSONKeyFunction [TargetPlatformAccelerator] #

ToJSON TargetPlatformAccelerator Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TargetPlatformAccelerator

Methods

toJSON :: TargetPlatformAccelerator -> Value #

toEncoding :: TargetPlatformAccelerator -> Encoding #

toJSONList :: [TargetPlatformAccelerator] -> Value #

toEncodingList :: [TargetPlatformAccelerator] -> Encoding #

ToJSONKey TargetPlatformAccelerator Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TargetPlatformAccelerator

Methods

toJSONKey :: ToJSONKeyFunction TargetPlatformAccelerator #

toJSONKeyList :: ToJSONKeyFunction [TargetPlatformAccelerator] #

ToByteString TargetPlatformAccelerator Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TargetPlatformAccelerator

Methods

toBS :: TargetPlatformAccelerator -> ByteString #

ToHeader TargetPlatformAccelerator Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TargetPlatformAccelerator

Methods

toHeader :: HeaderName -> TargetPlatformAccelerator -> [Header] #

ToLog TargetPlatformAccelerator Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TargetPlatformAccelerator

Methods

build :: TargetPlatformAccelerator -> ByteStringBuilder #

ToQuery TargetPlatformAccelerator Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TargetPlatformAccelerator

Methods

toQuery :: TargetPlatformAccelerator -> QueryString #

FromText TargetPlatformAccelerator Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TargetPlatformAccelerator

Methods

fromText :: Text -> Either String TargetPlatformAccelerator #

ToText TargetPlatformAccelerator Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TargetPlatformAccelerator

Methods

toText :: TargetPlatformAccelerator -> Text #

FromXML TargetPlatformAccelerator Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TargetPlatformAccelerator

Methods

parseXML :: [Node] -> Either String TargetPlatformAccelerator #

ToXML TargetPlatformAccelerator Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TargetPlatformAccelerator

Methods

toXML :: TargetPlatformAccelerator -> XML #

Generic TargetPlatformAccelerator Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TargetPlatformAccelerator

Associated Types

type Rep TargetPlatformAccelerator :: Type -> Type #

Methods

from :: TargetPlatformAccelerator -> Rep TargetPlatformAccelerator x #

to :: Rep TargetPlatformAccelerator x -> TargetPlatformAccelerator #

Read TargetPlatformAccelerator Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TargetPlatformAccelerator

Methods

readsPrec :: Int -> ReadS TargetPlatformAccelerator #

readList :: ReadS [TargetPlatformAccelerator] #

readPrec :: ReadPrec TargetPlatformAccelerator #

readListPrec :: ReadPrec [TargetPlatformAccelerator] #

Show TargetPlatformAccelerator Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TargetPlatformAccelerator

Methods

showsPrec :: Int -> TargetPlatformAccelerator -> ShowS #

show :: TargetPlatformAccelerator -> String #

showList :: [TargetPlatformAccelerator] -> ShowS #

NFData TargetPlatformAccelerator Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TargetPlatformAccelerator

Methods

rnf :: TargetPlatformAccelerator -> () #

Eq TargetPlatformAccelerator Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TargetPlatformAccelerator

Methods

(==) :: TargetPlatformAccelerator -> TargetPlatformAccelerator -> Bool #

(/=) :: TargetPlatformAccelerator -> TargetPlatformAccelerator -> Bool #

Ord TargetPlatformAccelerator Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TargetPlatformAccelerator

Methods

compare :: TargetPlatformAccelerator -> TargetPlatformAccelerator -> Ordering #

(<) :: TargetPlatformAccelerator -> TargetPlatformAccelerator -> Bool #

(<=) :: TargetPlatformAccelerator -> TargetPlatformAccelerator -> Bool #

(>) :: TargetPlatformAccelerator -> TargetPlatformAccelerator -> Bool #

(>=) :: TargetPlatformAccelerator -> TargetPlatformAccelerator -> Bool #

max :: TargetPlatformAccelerator -> TargetPlatformAccelerator -> TargetPlatformAccelerator #

min :: TargetPlatformAccelerator -> TargetPlatformAccelerator -> TargetPlatformAccelerator #

Hashable TargetPlatformAccelerator Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TargetPlatformAccelerator

Methods

hashWithSalt :: Int -> TargetPlatformAccelerator -> Int #

hash :: TargetPlatformAccelerator -> Int #

type Rep TargetPlatformAccelerator Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TargetPlatformAccelerator

type Rep TargetPlatformAccelerator = D1 ('MetaData "TargetPlatformAccelerator" "Amazonka.SageMaker.Types.TargetPlatformAccelerator" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'True) (C1 ('MetaCons "TargetPlatformAccelerator'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromTargetPlatformAccelerator") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

TargetPlatformArch

newtype TargetPlatformArch Source #

Constructors

TargetPlatformArch' 

Fields

Bundled Patterns

pattern TargetPlatformArch_ARM64 :: TargetPlatformArch 
pattern TargetPlatformArch_ARM_EABI :: TargetPlatformArch 
pattern TargetPlatformArch_ARM_EABIHF :: TargetPlatformArch 
pattern TargetPlatformArch_X86 :: TargetPlatformArch 
pattern TargetPlatformArch_X86_64 :: TargetPlatformArch 

Instances

Instances details
FromJSON TargetPlatformArch Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TargetPlatformArch

Methods

parseJSON :: Value -> Parser TargetPlatformArch #

parseJSONList :: Value -> Parser [TargetPlatformArch] #

FromJSONKey TargetPlatformArch Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TargetPlatformArch

Methods

fromJSONKey :: FromJSONKeyFunction TargetPlatformArch #

fromJSONKeyList :: FromJSONKeyFunction [TargetPlatformArch] #

ToJSON TargetPlatformArch Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TargetPlatformArch

Methods

toJSON :: TargetPlatformArch -> Value #

toEncoding :: TargetPlatformArch -> Encoding #

toJSONList :: [TargetPlatformArch] -> Value #

toEncodingList :: [TargetPlatformArch] -> Encoding #

ToJSONKey TargetPlatformArch Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TargetPlatformArch

Methods

toJSONKey :: ToJSONKeyFunction TargetPlatformArch #

toJSONKeyList :: ToJSONKeyFunction [TargetPlatformArch] #

ToByteString TargetPlatformArch Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TargetPlatformArch

Methods

toBS :: TargetPlatformArch -> ByteString #

ToHeader TargetPlatformArch Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TargetPlatformArch

Methods

toHeader :: HeaderName -> TargetPlatformArch -> [Header] #

ToLog TargetPlatformArch Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TargetPlatformArch

Methods

build :: TargetPlatformArch -> ByteStringBuilder #

ToQuery TargetPlatformArch Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TargetPlatformArch

Methods

toQuery :: TargetPlatformArch -> QueryString #

FromText TargetPlatformArch Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TargetPlatformArch

Methods

fromText :: Text -> Either String TargetPlatformArch #

ToText TargetPlatformArch Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TargetPlatformArch

Methods

toText :: TargetPlatformArch -> Text #

FromXML TargetPlatformArch Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TargetPlatformArch

Methods

parseXML :: [Node] -> Either String TargetPlatformArch #

ToXML TargetPlatformArch Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TargetPlatformArch

Methods

toXML :: TargetPlatformArch -> XML #

Generic TargetPlatformArch Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TargetPlatformArch

Associated Types

type Rep TargetPlatformArch :: Type -> Type #

Methods

from :: TargetPlatformArch -> Rep TargetPlatformArch x #

to :: Rep TargetPlatformArch x -> TargetPlatformArch #

Read TargetPlatformArch Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TargetPlatformArch

Methods

readsPrec :: Int -> ReadS TargetPlatformArch #

readList :: ReadS [TargetPlatformArch] #

readPrec :: ReadPrec TargetPlatformArch #

readListPrec :: ReadPrec [TargetPlatformArch] #

Show TargetPlatformArch Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TargetPlatformArch

Methods

showsPrec :: Int -> TargetPlatformArch -> ShowS #

show :: TargetPlatformArch -> String #

showList :: [TargetPlatformArch] -> ShowS #

NFData TargetPlatformArch Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TargetPlatformArch

Methods

rnf :: TargetPlatformArch -> () #

Eq TargetPlatformArch Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TargetPlatformArch

Methods

(==) :: TargetPlatformArch -> TargetPlatformArch -> Bool #

(/=) :: TargetPlatformArch -> TargetPlatformArch -> Bool #

Ord TargetPlatformArch Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TargetPlatformArch

Methods

compare :: TargetPlatformArch -> TargetPlatformArch -> Ordering #

(<) :: TargetPlatformArch -> TargetPlatformArch -> Bool #

(<=) :: TargetPlatformArch -> TargetPlatformArch -> Bool #

(>) :: TargetPlatformArch -> TargetPlatformArch -> Bool #

(>=) :: TargetPlatformArch -> TargetPlatformArch -> Bool #

max :: TargetPlatformArch -> TargetPlatformArch -> TargetPlatformArch #

min :: TargetPlatformArch -> TargetPlatformArch -> TargetPlatformArch #

Hashable TargetPlatformArch Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TargetPlatformArch

Methods

hashWithSalt :: Int -> TargetPlatformArch -> Int #

hash :: TargetPlatformArch -> Int #

type Rep TargetPlatformArch Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TargetPlatformArch

type Rep TargetPlatformArch = D1 ('MetaData "TargetPlatformArch" "Amazonka.SageMaker.Types.TargetPlatformArch" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'True) (C1 ('MetaCons "TargetPlatformArch'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromTargetPlatformArch") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

TargetPlatformOs

newtype TargetPlatformOs Source #

Constructors

TargetPlatformOs' 

Fields

Bundled Patterns

pattern TargetPlatformOs_ANDROID :: TargetPlatformOs 
pattern TargetPlatformOs_LINUX :: TargetPlatformOs 

Instances

Instances details
FromJSON TargetPlatformOs Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TargetPlatformOs

Methods

parseJSON :: Value -> Parser TargetPlatformOs #

parseJSONList :: Value -> Parser [TargetPlatformOs] #

FromJSONKey TargetPlatformOs Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TargetPlatformOs

Methods

fromJSONKey :: FromJSONKeyFunction TargetPlatformOs #

fromJSONKeyList :: FromJSONKeyFunction [TargetPlatformOs] #

ToJSON TargetPlatformOs Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TargetPlatformOs

Methods

toJSON :: TargetPlatformOs -> Value #

toEncoding :: TargetPlatformOs -> Encoding #

toJSONList :: [TargetPlatformOs] -> Value #

toEncodingList :: [TargetPlatformOs] -> Encoding #

ToJSONKey TargetPlatformOs Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TargetPlatformOs

Methods

toJSONKey :: ToJSONKeyFunction TargetPlatformOs #

toJSONKeyList :: ToJSONKeyFunction [TargetPlatformOs] #

ToByteString TargetPlatformOs Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TargetPlatformOs

Methods

toBS :: TargetPlatformOs -> ByteString #

ToHeader TargetPlatformOs Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TargetPlatformOs

Methods

toHeader :: HeaderName -> TargetPlatformOs -> [Header] #

ToLog TargetPlatformOs Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TargetPlatformOs

Methods

build :: TargetPlatformOs -> ByteStringBuilder #

ToQuery TargetPlatformOs Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TargetPlatformOs

Methods

toQuery :: TargetPlatformOs -> QueryString #

FromText TargetPlatformOs Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TargetPlatformOs

Methods

fromText :: Text -> Either String TargetPlatformOs #

ToText TargetPlatformOs Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TargetPlatformOs

Methods

toText :: TargetPlatformOs -> Text #

FromXML TargetPlatformOs Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TargetPlatformOs

Methods

parseXML :: [Node] -> Either String TargetPlatformOs #

ToXML TargetPlatformOs Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TargetPlatformOs

Methods

toXML :: TargetPlatformOs -> XML #

Generic TargetPlatformOs Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TargetPlatformOs

Associated Types

type Rep TargetPlatformOs :: Type -> Type #

Methods

from :: TargetPlatformOs -> Rep TargetPlatformOs x #

to :: Rep TargetPlatformOs x -> TargetPlatformOs #

Read TargetPlatformOs Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TargetPlatformOs

Methods

readsPrec :: Int -> ReadS TargetPlatformOs #

readList :: ReadS [TargetPlatformOs] #

readPrec :: ReadPrec TargetPlatformOs #

readListPrec :: ReadPrec [TargetPlatformOs] #

Show TargetPlatformOs Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TargetPlatformOs

Methods

showsPrec :: Int -> TargetPlatformOs -> ShowS #

show :: TargetPlatformOs -> String #

showList :: [TargetPlatformOs] -> ShowS #

NFData TargetPlatformOs Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TargetPlatformOs

Methods

rnf :: TargetPlatformOs -> () #

Eq TargetPlatformOs Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TargetPlatformOs

Methods

(==) :: TargetPlatformOs -> TargetPlatformOs -> Bool #

(/=) :: TargetPlatformOs -> TargetPlatformOs -> Bool #

Ord TargetPlatformOs Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TargetPlatformOs

Methods

compare :: TargetPlatformOs -> TargetPlatformOs -> Ordering #

(<) :: TargetPlatformOs -> TargetPlatformOs -> Bool #

(<=) :: TargetPlatformOs -> TargetPlatformOs -> Bool #

(>) :: TargetPlatformOs -> TargetPlatformOs -> Bool #

(>=) :: TargetPlatformOs -> TargetPlatformOs -> Bool #

max :: TargetPlatformOs -> TargetPlatformOs -> TargetPlatformOs #

min :: TargetPlatformOs -> TargetPlatformOs -> TargetPlatformOs #

Hashable TargetPlatformOs Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TargetPlatformOs

Methods

hashWithSalt :: Int -> TargetPlatformOs -> Int #

hash :: TargetPlatformOs -> Int #

type Rep TargetPlatformOs Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TargetPlatformOs

type Rep TargetPlatformOs = D1 ('MetaData "TargetPlatformOs" "Amazonka.SageMaker.Types.TargetPlatformOs" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'True) (C1 ('MetaCons "TargetPlatformOs'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromTargetPlatformOs") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

TrafficRoutingConfigType

newtype TrafficRoutingConfigType Source #

Constructors

TrafficRoutingConfigType' 

Fields

Bundled Patterns

pattern TrafficRoutingConfigType_ALL_AT_ONCE :: TrafficRoutingConfigType 
pattern TrafficRoutingConfigType_CANARY :: TrafficRoutingConfigType 
pattern TrafficRoutingConfigType_LINEAR :: TrafficRoutingConfigType 

Instances

Instances details
FromJSON TrafficRoutingConfigType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrafficRoutingConfigType

Methods

parseJSON :: Value -> Parser TrafficRoutingConfigType #

parseJSONList :: Value -> Parser [TrafficRoutingConfigType] #

FromJSONKey TrafficRoutingConfigType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrafficRoutingConfigType

Methods

fromJSONKey :: FromJSONKeyFunction TrafficRoutingConfigType #

fromJSONKeyList :: FromJSONKeyFunction [TrafficRoutingConfigType] #

ToJSON TrafficRoutingConfigType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrafficRoutingConfigType

Methods

toJSON :: TrafficRoutingConfigType -> Value #

toEncoding :: TrafficRoutingConfigType -> Encoding #

toJSONList :: [TrafficRoutingConfigType] -> Value #

toEncodingList :: [TrafficRoutingConfigType] -> Encoding #

ToJSONKey TrafficRoutingConfigType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrafficRoutingConfigType

Methods

toJSONKey :: ToJSONKeyFunction TrafficRoutingConfigType #

toJSONKeyList :: ToJSONKeyFunction [TrafficRoutingConfigType] #

ToByteString TrafficRoutingConfigType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrafficRoutingConfigType

Methods

toBS :: TrafficRoutingConfigType -> ByteString #

ToHeader TrafficRoutingConfigType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrafficRoutingConfigType

Methods

toHeader :: HeaderName -> TrafficRoutingConfigType -> [Header] #

ToLog TrafficRoutingConfigType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrafficRoutingConfigType

Methods

build :: TrafficRoutingConfigType -> ByteStringBuilder #

ToQuery TrafficRoutingConfigType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrafficRoutingConfigType

Methods

toQuery :: TrafficRoutingConfigType -> QueryString #

FromText TrafficRoutingConfigType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrafficRoutingConfigType

Methods

fromText :: Text -> Either String TrafficRoutingConfigType #

ToText TrafficRoutingConfigType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrafficRoutingConfigType

Methods

toText :: TrafficRoutingConfigType -> Text #

FromXML TrafficRoutingConfigType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrafficRoutingConfigType

Methods

parseXML :: [Node] -> Either String TrafficRoutingConfigType #

ToXML TrafficRoutingConfigType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrafficRoutingConfigType

Methods

toXML :: TrafficRoutingConfigType -> XML #

Generic TrafficRoutingConfigType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrafficRoutingConfigType

Associated Types

type Rep TrafficRoutingConfigType :: Type -> Type #

Methods

from :: TrafficRoutingConfigType -> Rep TrafficRoutingConfigType x #

to :: Rep TrafficRoutingConfigType x -> TrafficRoutingConfigType #

Read TrafficRoutingConfigType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrafficRoutingConfigType

Methods

readsPrec :: Int -> ReadS TrafficRoutingConfigType #

readList :: ReadS [TrafficRoutingConfigType] #

readPrec :: ReadPrec TrafficRoutingConfigType #

readListPrec :: ReadPrec [TrafficRoutingConfigType] #

Show TrafficRoutingConfigType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrafficRoutingConfigType

Methods

showsPrec :: Int -> TrafficRoutingConfigType -> ShowS #

show :: TrafficRoutingConfigType -> String #

showList :: [TrafficRoutingConfigType] -> ShowS #

NFData TrafficRoutingConfigType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrafficRoutingConfigType

Methods

rnf :: TrafficRoutingConfigType -> () #

Eq TrafficRoutingConfigType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrafficRoutingConfigType

Methods

(==) :: TrafficRoutingConfigType -> TrafficRoutingConfigType -> Bool #

(/=) :: TrafficRoutingConfigType -> TrafficRoutingConfigType -> Bool #

Ord TrafficRoutingConfigType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrafficRoutingConfigType

Methods

compare :: TrafficRoutingConfigType -> TrafficRoutingConfigType -> Ordering #

(<) :: TrafficRoutingConfigType -> TrafficRoutingConfigType -> Bool #

(<=) :: TrafficRoutingConfigType -> TrafficRoutingConfigType -> Bool #

(>) :: TrafficRoutingConfigType -> TrafficRoutingConfigType -> Bool #

(>=) :: TrafficRoutingConfigType -> TrafficRoutingConfigType -> Bool #

max :: TrafficRoutingConfigType -> TrafficRoutingConfigType -> TrafficRoutingConfigType #

min :: TrafficRoutingConfigType -> TrafficRoutingConfigType -> TrafficRoutingConfigType #

Hashable TrafficRoutingConfigType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrafficRoutingConfigType

Methods

hashWithSalt :: Int -> TrafficRoutingConfigType -> Int #

hash :: TrafficRoutingConfigType -> Int #

type Rep TrafficRoutingConfigType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrafficRoutingConfigType

type Rep TrafficRoutingConfigType = D1 ('MetaData "TrafficRoutingConfigType" "Amazonka.SageMaker.Types.TrafficRoutingConfigType" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'True) (C1 ('MetaCons "TrafficRoutingConfigType'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromTrafficRoutingConfigType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

TrafficType

newtype TrafficType Source #

Constructors

TrafficType' 

Fields

Bundled Patterns

pattern TrafficType_PHASES :: TrafficType 

Instances

Instances details
FromJSON TrafficType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrafficType

Methods

parseJSON :: Value -> Parser TrafficType #

parseJSONList :: Value -> Parser [TrafficType] #

FromJSONKey TrafficType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrafficType

Methods

fromJSONKey :: FromJSONKeyFunction TrafficType #

fromJSONKeyList :: FromJSONKeyFunction [TrafficType] #

ToJSON TrafficType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrafficType

Methods

toJSON :: TrafficType -> Value #

toEncoding :: TrafficType -> Encoding #

toJSONList :: [TrafficType] -> Value #

toEncodingList :: [TrafficType] -> Encoding #

ToJSONKey TrafficType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrafficType

Methods

toJSONKey :: ToJSONKeyFunction TrafficType #

toJSONKeyList :: ToJSONKeyFunction [TrafficType] #

ToByteString TrafficType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrafficType

Methods

toBS :: TrafficType -> ByteString #

ToHeader TrafficType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrafficType

Methods

toHeader :: HeaderName -> TrafficType -> [Header] #

ToLog TrafficType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrafficType

Methods

build :: TrafficType -> ByteStringBuilder #

ToQuery TrafficType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrafficType

Methods

toQuery :: TrafficType -> QueryString #

FromText TrafficType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrafficType

Methods

fromText :: Text -> Either String TrafficType #

ToText TrafficType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrafficType

Methods

toText :: TrafficType -> Text #

FromXML TrafficType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrafficType

Methods

parseXML :: [Node] -> Either String TrafficType #

ToXML TrafficType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrafficType

Methods

toXML :: TrafficType -> XML #

Generic TrafficType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrafficType

Associated Types

type Rep TrafficType :: Type -> Type #

Methods

from :: TrafficType -> Rep TrafficType x #

to :: Rep TrafficType x -> TrafficType #

Read TrafficType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrafficType

Methods

readsPrec :: Int -> ReadS TrafficType #

readList :: ReadS [TrafficType] #

readPrec :: ReadPrec TrafficType #

readListPrec :: ReadPrec [TrafficType] #

Show TrafficType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrafficType

Methods

showsPrec :: Int -> TrafficType -> ShowS #

show :: TrafficType -> String #

showList :: [TrafficType] -> ShowS #

NFData TrafficType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrafficType

Methods

rnf :: TrafficType -> () #

Eq TrafficType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrafficType

Methods

(==) :: TrafficType -> TrafficType -> Bool #

(/=) :: TrafficType -> TrafficType -> Bool #

Ord TrafficType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrafficType

Methods

compare :: TrafficType -> TrafficType -> Ordering #

(<) :: TrafficType -> TrafficType -> Bool #

(<=) :: TrafficType -> TrafficType -> Bool #

(>) :: TrafficType -> TrafficType -> Bool #

(>=) :: TrafficType -> TrafficType -> Bool #

max :: TrafficType -> TrafficType -> TrafficType #

min :: TrafficType -> TrafficType -> TrafficType #

Hashable TrafficType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrafficType

Methods

hashWithSalt :: Int -> TrafficType -> Int #

hash :: TrafficType -> Int #

type Rep TrafficType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrafficType

type Rep TrafficType = D1 ('MetaData "TrafficType" "Amazonka.SageMaker.Types.TrafficType" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'True) (C1 ('MetaCons "TrafficType'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromTrafficType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

TrainingInputMode

newtype TrainingInputMode Source #

The training input mode that the algorithm supports. For more information about input modes, see Algorithms.

Pipe mode

If an algorithm supports Pipe mode, Amazon SageMaker streams data directly from Amazon S3 to the container.

File mode

If an algorithm supports File mode, SageMaker downloads the training data from S3 to the provisioned ML storage volume, and mounts the directory to the Docker volume for the training container.

You must provision the ML storage volume with sufficient capacity to accommodate the data downloaded from S3. In addition to the training data, the ML storage volume also stores the output model. The algorithm container uses the ML storage volume to also store intermediate information, if any.

For distributed algorithms, training data is distributed uniformly. Your training duration is predictable if the input data objects sizes are approximately the same. SageMaker does not split the files any further for model training. If the object sizes are skewed, training won't be optimal as the data distribution is also skewed when one host in a training cluster is overloaded, thus becoming a bottleneck in training.

FastFile mode

If an algorithm supports FastFile mode, SageMaker streams data directly from S3 to the container with no code changes, and provides file system access to the data. Users can author their training script to interact with these files as if they were stored on disk.

FastFile mode works best when the data is read sequentially. Augmented manifest files aren't supported. The startup time is lower when there are fewer files in the S3 bucket provided.

Constructors

TrainingInputMode' 

Fields

Bundled Patterns

pattern TrainingInputMode_FastFile :: TrainingInputMode 
pattern TrainingInputMode_File :: TrainingInputMode 
pattern TrainingInputMode_Pipe :: TrainingInputMode 

Instances

Instances details
FromJSON TrainingInputMode Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrainingInputMode

Methods

parseJSON :: Value -> Parser TrainingInputMode #

parseJSONList :: Value -> Parser [TrainingInputMode] #

FromJSONKey TrainingInputMode Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrainingInputMode

Methods

fromJSONKey :: FromJSONKeyFunction TrainingInputMode #

fromJSONKeyList :: FromJSONKeyFunction [TrainingInputMode] #

ToJSON TrainingInputMode Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrainingInputMode

Methods

toJSON :: TrainingInputMode -> Value #

toEncoding :: TrainingInputMode -> Encoding #

toJSONList :: [TrainingInputMode] -> Value #

toEncodingList :: [TrainingInputMode] -> Encoding #

ToJSONKey TrainingInputMode Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrainingInputMode

Methods

toJSONKey :: ToJSONKeyFunction TrainingInputMode #

toJSONKeyList :: ToJSONKeyFunction [TrainingInputMode] #

ToByteString TrainingInputMode Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrainingInputMode

Methods

toBS :: TrainingInputMode -> ByteString #

ToHeader TrainingInputMode Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrainingInputMode

Methods

toHeader :: HeaderName -> TrainingInputMode -> [Header] #

ToLog TrainingInputMode Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrainingInputMode

Methods

build :: TrainingInputMode -> ByteStringBuilder #

ToQuery TrainingInputMode Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrainingInputMode

Methods

toQuery :: TrainingInputMode -> QueryString #

FromText TrainingInputMode Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrainingInputMode

Methods

fromText :: Text -> Either String TrainingInputMode #

ToText TrainingInputMode Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrainingInputMode

Methods

toText :: TrainingInputMode -> Text #

FromXML TrainingInputMode Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrainingInputMode

Methods

parseXML :: [Node] -> Either String TrainingInputMode #

ToXML TrainingInputMode Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrainingInputMode

Methods

toXML :: TrainingInputMode -> XML #

Generic TrainingInputMode Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrainingInputMode

Associated Types

type Rep TrainingInputMode :: Type -> Type #

Methods

from :: TrainingInputMode -> Rep TrainingInputMode x #

to :: Rep TrainingInputMode x -> TrainingInputMode #

Read TrainingInputMode Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrainingInputMode

Methods

readsPrec :: Int -> ReadS TrainingInputMode #

readList :: ReadS [TrainingInputMode] #

readPrec :: ReadPrec TrainingInputMode #

readListPrec :: ReadPrec [TrainingInputMode] #

Show TrainingInputMode Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrainingInputMode

Methods

showsPrec :: Int -> TrainingInputMode -> ShowS #

show :: TrainingInputMode -> String #

showList :: [TrainingInputMode] -> ShowS #

NFData TrainingInputMode Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrainingInputMode

Methods

rnf :: TrainingInputMode -> () #

Eq TrainingInputMode Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrainingInputMode

Methods

(==) :: TrainingInputMode -> TrainingInputMode -> Bool #

(/=) :: TrainingInputMode -> TrainingInputMode -> Bool #

Ord TrainingInputMode Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrainingInputMode

Methods

compare :: TrainingInputMode -> TrainingInputMode -> Ordering #

(<) :: TrainingInputMode -> TrainingInputMode -> Bool #

(<=) :: TrainingInputMode -> TrainingInputMode -> Bool #

(>) :: TrainingInputMode -> TrainingInputMode -> Bool #

(>=) :: TrainingInputMode -> TrainingInputMode -> Bool #

max :: TrainingInputMode -> TrainingInputMode -> TrainingInputMode #

min :: TrainingInputMode -> TrainingInputMode -> TrainingInputMode #

Hashable TrainingInputMode Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrainingInputMode

Methods

hashWithSalt :: Int -> TrainingInputMode -> Int #

hash :: TrainingInputMode -> Int #

type Rep TrainingInputMode Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrainingInputMode

type Rep TrainingInputMode = D1 ('MetaData "TrainingInputMode" "Amazonka.SageMaker.Types.TrainingInputMode" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'True) (C1 ('MetaCons "TrainingInputMode'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromTrainingInputMode") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

TrainingInstanceType

newtype TrainingInstanceType Source #

Constructors

TrainingInstanceType' 

Fields

Bundled Patterns

pattern TrainingInstanceType_Ml_c4_2xlarge :: TrainingInstanceType 
pattern TrainingInstanceType_Ml_c4_4xlarge :: TrainingInstanceType 
pattern TrainingInstanceType_Ml_c4_8xlarge :: TrainingInstanceType 
pattern TrainingInstanceType_Ml_c4_xlarge :: TrainingInstanceType 
pattern TrainingInstanceType_Ml_c5_18xlarge :: TrainingInstanceType 
pattern TrainingInstanceType_Ml_c5_2xlarge :: TrainingInstanceType 
pattern TrainingInstanceType_Ml_c5_4xlarge :: TrainingInstanceType 
pattern TrainingInstanceType_Ml_c5_9xlarge :: TrainingInstanceType 
pattern TrainingInstanceType_Ml_c5_xlarge :: TrainingInstanceType 
pattern TrainingInstanceType_Ml_c5n_18xlarge :: TrainingInstanceType 
pattern TrainingInstanceType_Ml_c5n_2xlarge :: TrainingInstanceType 
pattern TrainingInstanceType_Ml_c5n_4xlarge :: TrainingInstanceType 
pattern TrainingInstanceType_Ml_c5n_9xlarge :: TrainingInstanceType 
pattern TrainingInstanceType_Ml_c5n_xlarge :: TrainingInstanceType 
pattern TrainingInstanceType_Ml_g4dn_12xlarge :: TrainingInstanceType 
pattern TrainingInstanceType_Ml_g4dn_16xlarge :: TrainingInstanceType 
pattern TrainingInstanceType_Ml_g4dn_2xlarge :: TrainingInstanceType 
pattern TrainingInstanceType_Ml_g4dn_4xlarge :: TrainingInstanceType 
pattern TrainingInstanceType_Ml_g4dn_8xlarge :: TrainingInstanceType 
pattern TrainingInstanceType_Ml_g4dn_xlarge :: TrainingInstanceType 
pattern TrainingInstanceType_Ml_g5_12xlarge :: TrainingInstanceType 
pattern TrainingInstanceType_Ml_g5_16xlarge :: TrainingInstanceType 
pattern TrainingInstanceType_Ml_g5_24xlarge :: TrainingInstanceType 
pattern TrainingInstanceType_Ml_g5_2xlarge :: TrainingInstanceType 
pattern TrainingInstanceType_Ml_g5_48xlarge :: TrainingInstanceType 
pattern TrainingInstanceType_Ml_g5_4xlarge :: TrainingInstanceType 
pattern TrainingInstanceType_Ml_g5_8xlarge :: TrainingInstanceType 
pattern TrainingInstanceType_Ml_g5_xlarge :: TrainingInstanceType 
pattern TrainingInstanceType_Ml_m4_10xlarge :: TrainingInstanceType 
pattern TrainingInstanceType_Ml_m4_16xlarge :: TrainingInstanceType 
pattern TrainingInstanceType_Ml_m4_2xlarge :: TrainingInstanceType 
pattern TrainingInstanceType_Ml_m4_4xlarge :: TrainingInstanceType 
pattern TrainingInstanceType_Ml_m4_xlarge :: TrainingInstanceType 
pattern TrainingInstanceType_Ml_m5_12xlarge :: TrainingInstanceType 
pattern TrainingInstanceType_Ml_m5_24xlarge :: TrainingInstanceType 
pattern TrainingInstanceType_Ml_m5_2xlarge :: TrainingInstanceType 
pattern TrainingInstanceType_Ml_m5_4xlarge :: TrainingInstanceType 
pattern TrainingInstanceType_Ml_m5_large :: TrainingInstanceType 
pattern TrainingInstanceType_Ml_m5_xlarge :: TrainingInstanceType 
pattern TrainingInstanceType_Ml_p2_16xlarge :: TrainingInstanceType 
pattern TrainingInstanceType_Ml_p2_8xlarge :: TrainingInstanceType 
pattern TrainingInstanceType_Ml_p2_xlarge :: TrainingInstanceType 
pattern TrainingInstanceType_Ml_p3_16xlarge :: TrainingInstanceType 
pattern TrainingInstanceType_Ml_p3_2xlarge :: TrainingInstanceType 
pattern TrainingInstanceType_Ml_p3_8xlarge :: TrainingInstanceType 
pattern TrainingInstanceType_Ml_p3dn_24xlarge :: TrainingInstanceType 
pattern TrainingInstanceType_Ml_p4d_24xlarge :: TrainingInstanceType 
pattern TrainingInstanceType_Ml_trn1_2xlarge :: TrainingInstanceType 
pattern TrainingInstanceType_Ml_trn1_32xlarge :: TrainingInstanceType 

Instances

Instances details
FromJSON TrainingInstanceType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrainingInstanceType

Methods

parseJSON :: Value -> Parser TrainingInstanceType #

parseJSONList :: Value -> Parser [TrainingInstanceType] #

FromJSONKey TrainingInstanceType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrainingInstanceType

Methods

fromJSONKey :: FromJSONKeyFunction TrainingInstanceType #

fromJSONKeyList :: FromJSONKeyFunction [TrainingInstanceType] #

ToJSON TrainingInstanceType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrainingInstanceType

Methods

toJSON :: TrainingInstanceType -> Value #

toEncoding :: TrainingInstanceType -> Encoding #

toJSONList :: [TrainingInstanceType] -> Value #

toEncodingList :: [TrainingInstanceType] -> Encoding #

ToJSONKey TrainingInstanceType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrainingInstanceType

Methods

toJSONKey :: ToJSONKeyFunction TrainingInstanceType #

toJSONKeyList :: ToJSONKeyFunction [TrainingInstanceType] #

ToByteString TrainingInstanceType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrainingInstanceType

Methods

toBS :: TrainingInstanceType -> ByteString #

ToHeader TrainingInstanceType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrainingInstanceType

Methods

toHeader :: HeaderName -> TrainingInstanceType -> [Header] #

ToLog TrainingInstanceType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrainingInstanceType

Methods

build :: TrainingInstanceType -> ByteStringBuilder #

ToQuery TrainingInstanceType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrainingInstanceType

Methods

toQuery :: TrainingInstanceType -> QueryString #

FromText TrainingInstanceType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrainingInstanceType

Methods

fromText :: Text -> Either String TrainingInstanceType #

ToText TrainingInstanceType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrainingInstanceType

Methods

toText :: TrainingInstanceType -> Text #

FromXML TrainingInstanceType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrainingInstanceType

Methods

parseXML :: [Node] -> Either String TrainingInstanceType #

ToXML TrainingInstanceType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrainingInstanceType

Methods

toXML :: TrainingInstanceType -> XML #

Generic TrainingInstanceType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrainingInstanceType

Associated Types

type Rep TrainingInstanceType :: Type -> Type #

Methods

from :: TrainingInstanceType -> Rep TrainingInstanceType x #

to :: Rep TrainingInstanceType x -> TrainingInstanceType #

Read TrainingInstanceType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrainingInstanceType

Methods

readsPrec :: Int -> ReadS TrainingInstanceType #

readList :: ReadS [TrainingInstanceType] #

readPrec :: ReadPrec TrainingInstanceType #

readListPrec :: ReadPrec [TrainingInstanceType] #

Show TrainingInstanceType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrainingInstanceType

Methods

showsPrec :: Int -> TrainingInstanceType -> ShowS #

show :: TrainingInstanceType -> String #

showList :: [TrainingInstanceType] -> ShowS #

NFData TrainingInstanceType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrainingInstanceType

Methods

rnf :: TrainingInstanceType -> () #

Eq TrainingInstanceType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrainingInstanceType

Methods

(==) :: TrainingInstanceType -> TrainingInstanceType -> Bool #

(/=) :: TrainingInstanceType -> TrainingInstanceType -> Bool #

Ord TrainingInstanceType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrainingInstanceType

Methods

compare :: TrainingInstanceType -> TrainingInstanceType -> Ordering #

(<) :: TrainingInstanceType -> TrainingInstanceType -> Bool #

(<=) :: TrainingInstanceType -> TrainingInstanceType -> Bool #

(>) :: TrainingInstanceType -> TrainingInstanceType -> Bool #

(>=) :: TrainingInstanceType -> TrainingInstanceType -> Bool #

max :: TrainingInstanceType -> TrainingInstanceType -> TrainingInstanceType #

min :: TrainingInstanceType -> TrainingInstanceType -> TrainingInstanceType #

Hashable TrainingInstanceType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrainingInstanceType

Methods

hashWithSalt :: Int -> TrainingInstanceType -> Int #

hash :: TrainingInstanceType -> Int #

type Rep TrainingInstanceType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrainingInstanceType

type Rep TrainingInstanceType = D1 ('MetaData "TrainingInstanceType" "Amazonka.SageMaker.Types.TrainingInstanceType" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'True) (C1 ('MetaCons "TrainingInstanceType'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromTrainingInstanceType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

TrainingJobEarlyStoppingType

newtype TrainingJobEarlyStoppingType Source #

Constructors

TrainingJobEarlyStoppingType' 

Fields

Bundled Patterns

pattern TrainingJobEarlyStoppingType_Auto :: TrainingJobEarlyStoppingType 
pattern TrainingJobEarlyStoppingType_Off :: TrainingJobEarlyStoppingType 

Instances

Instances details
FromJSON TrainingJobEarlyStoppingType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrainingJobEarlyStoppingType

Methods

parseJSON :: Value -> Parser TrainingJobEarlyStoppingType #

parseJSONList :: Value -> Parser [TrainingJobEarlyStoppingType] #

FromJSONKey TrainingJobEarlyStoppingType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrainingJobEarlyStoppingType

Methods

fromJSONKey :: FromJSONKeyFunction TrainingJobEarlyStoppingType #

fromJSONKeyList :: FromJSONKeyFunction [TrainingJobEarlyStoppingType] #

ToJSON TrainingJobEarlyStoppingType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrainingJobEarlyStoppingType

Methods

toJSON :: TrainingJobEarlyStoppingType -> Value #

toEncoding :: TrainingJobEarlyStoppingType -> Encoding #

toJSONList :: [TrainingJobEarlyStoppingType] -> Value #

toEncodingList :: [TrainingJobEarlyStoppingType] -> Encoding #

ToJSONKey TrainingJobEarlyStoppingType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrainingJobEarlyStoppingType

Methods

toJSONKey :: ToJSONKeyFunction TrainingJobEarlyStoppingType #

toJSONKeyList :: ToJSONKeyFunction [TrainingJobEarlyStoppingType] #

ToByteString TrainingJobEarlyStoppingType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrainingJobEarlyStoppingType

Methods

toBS :: TrainingJobEarlyStoppingType -> ByteString #

ToHeader TrainingJobEarlyStoppingType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrainingJobEarlyStoppingType

Methods

toHeader :: HeaderName -> TrainingJobEarlyStoppingType -> [Header] #

ToLog TrainingJobEarlyStoppingType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrainingJobEarlyStoppingType

Methods

build :: TrainingJobEarlyStoppingType -> ByteStringBuilder #

ToQuery TrainingJobEarlyStoppingType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrainingJobEarlyStoppingType

Methods

toQuery :: TrainingJobEarlyStoppingType -> QueryString #

FromText TrainingJobEarlyStoppingType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrainingJobEarlyStoppingType

Methods

fromText :: Text -> Either String TrainingJobEarlyStoppingType #

ToText TrainingJobEarlyStoppingType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrainingJobEarlyStoppingType

Methods

toText :: TrainingJobEarlyStoppingType -> Text #

FromXML TrainingJobEarlyStoppingType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrainingJobEarlyStoppingType

Methods

parseXML :: [Node] -> Either String TrainingJobEarlyStoppingType #

ToXML TrainingJobEarlyStoppingType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrainingJobEarlyStoppingType

Methods

toXML :: TrainingJobEarlyStoppingType -> XML #

Generic TrainingJobEarlyStoppingType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrainingJobEarlyStoppingType

Associated Types

type Rep TrainingJobEarlyStoppingType :: Type -> Type #

Methods

from :: TrainingJobEarlyStoppingType -> Rep TrainingJobEarlyStoppingType x #

to :: Rep TrainingJobEarlyStoppingType x -> TrainingJobEarlyStoppingType #

Read TrainingJobEarlyStoppingType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrainingJobEarlyStoppingType

Methods

readsPrec :: Int -> ReadS TrainingJobEarlyStoppingType #

readList :: ReadS [TrainingJobEarlyStoppingType] #

readPrec :: ReadPrec TrainingJobEarlyStoppingType #

readListPrec :: ReadPrec [TrainingJobEarlyStoppingType] #

Show TrainingJobEarlyStoppingType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrainingJobEarlyStoppingType

Methods

showsPrec :: Int -> TrainingJobEarlyStoppingType -> ShowS #

show :: TrainingJobEarlyStoppingType -> String #

showList :: [TrainingJobEarlyStoppingType] -> ShowS #

NFData TrainingJobEarlyStoppingType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrainingJobEarlyStoppingType

Methods

rnf :: TrainingJobEarlyStoppingType -> () #

Eq TrainingJobEarlyStoppingType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrainingJobEarlyStoppingType

Methods

(==) :: TrainingJobEarlyStoppingType -> TrainingJobEarlyStoppingType -> Bool #

(/=) :: TrainingJobEarlyStoppingType -> TrainingJobEarlyStoppingType -> Bool #

Ord TrainingJobEarlyStoppingType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrainingJobEarlyStoppingType

Methods

compare :: TrainingJobEarlyStoppingType -> TrainingJobEarlyStoppingType -> Ordering #

(<) :: TrainingJobEarlyStoppingType -> TrainingJobEarlyStoppingType -> Bool #

(<=) :: TrainingJobEarlyStoppingType -> TrainingJobEarlyStoppingType -> Bool #

(>) :: TrainingJobEarlyStoppingType -> TrainingJobEarlyStoppingType -> Bool #

(>=) :: TrainingJobEarlyStoppingType -> TrainingJobEarlyStoppingType -> Bool #

max :: TrainingJobEarlyStoppingType -> TrainingJobEarlyStoppingType -> TrainingJobEarlyStoppingType #

min :: TrainingJobEarlyStoppingType -> TrainingJobEarlyStoppingType -> TrainingJobEarlyStoppingType #

Hashable TrainingJobEarlyStoppingType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrainingJobEarlyStoppingType

Methods

hashWithSalt :: Int -> TrainingJobEarlyStoppingType -> Int #

hash :: TrainingJobEarlyStoppingType -> Int #

type Rep TrainingJobEarlyStoppingType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrainingJobEarlyStoppingType

type Rep TrainingJobEarlyStoppingType = D1 ('MetaData "TrainingJobEarlyStoppingType" "Amazonka.SageMaker.Types.TrainingJobEarlyStoppingType" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'True) (C1 ('MetaCons "TrainingJobEarlyStoppingType'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromTrainingJobEarlyStoppingType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

TrainingJobSortByOptions

newtype TrainingJobSortByOptions Source #

Constructors

TrainingJobSortByOptions' 

Fields

Bundled Patterns

pattern TrainingJobSortByOptions_CreationTime :: TrainingJobSortByOptions 
pattern TrainingJobSortByOptions_FinalObjectiveMetricValue :: TrainingJobSortByOptions 
pattern TrainingJobSortByOptions_Name :: TrainingJobSortByOptions 
pattern TrainingJobSortByOptions_Status :: TrainingJobSortByOptions 

Instances

Instances details
FromJSON TrainingJobSortByOptions Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrainingJobSortByOptions

Methods

parseJSON :: Value -> Parser TrainingJobSortByOptions #

parseJSONList :: Value -> Parser [TrainingJobSortByOptions] #

FromJSONKey TrainingJobSortByOptions Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrainingJobSortByOptions

Methods

fromJSONKey :: FromJSONKeyFunction TrainingJobSortByOptions #

fromJSONKeyList :: FromJSONKeyFunction [TrainingJobSortByOptions] #

ToJSON TrainingJobSortByOptions Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrainingJobSortByOptions

Methods

toJSON :: TrainingJobSortByOptions -> Value #

toEncoding :: TrainingJobSortByOptions -> Encoding #

toJSONList :: [TrainingJobSortByOptions] -> Value #

toEncodingList :: [TrainingJobSortByOptions] -> Encoding #

ToJSONKey TrainingJobSortByOptions Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrainingJobSortByOptions

Methods

toJSONKey :: ToJSONKeyFunction TrainingJobSortByOptions #

toJSONKeyList :: ToJSONKeyFunction [TrainingJobSortByOptions] #

ToByteString TrainingJobSortByOptions Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrainingJobSortByOptions

Methods

toBS :: TrainingJobSortByOptions -> ByteString #

ToHeader TrainingJobSortByOptions Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrainingJobSortByOptions

Methods

toHeader :: HeaderName -> TrainingJobSortByOptions -> [Header] #

ToLog TrainingJobSortByOptions Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrainingJobSortByOptions

Methods

build :: TrainingJobSortByOptions -> ByteStringBuilder #

ToQuery TrainingJobSortByOptions Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrainingJobSortByOptions

Methods

toQuery :: TrainingJobSortByOptions -> QueryString #

FromText TrainingJobSortByOptions Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrainingJobSortByOptions

Methods

fromText :: Text -> Either String TrainingJobSortByOptions #

ToText TrainingJobSortByOptions Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrainingJobSortByOptions

Methods

toText :: TrainingJobSortByOptions -> Text #

FromXML TrainingJobSortByOptions Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrainingJobSortByOptions

Methods

parseXML :: [Node] -> Either String TrainingJobSortByOptions #

ToXML TrainingJobSortByOptions Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrainingJobSortByOptions

Methods

toXML :: TrainingJobSortByOptions -> XML #

Generic TrainingJobSortByOptions Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrainingJobSortByOptions

Associated Types

type Rep TrainingJobSortByOptions :: Type -> Type #

Methods

from :: TrainingJobSortByOptions -> Rep TrainingJobSortByOptions x #

to :: Rep TrainingJobSortByOptions x -> TrainingJobSortByOptions #

Read TrainingJobSortByOptions Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrainingJobSortByOptions

Methods

readsPrec :: Int -> ReadS TrainingJobSortByOptions #

readList :: ReadS [TrainingJobSortByOptions] #

readPrec :: ReadPrec TrainingJobSortByOptions #

readListPrec :: ReadPrec [TrainingJobSortByOptions] #

Show TrainingJobSortByOptions Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrainingJobSortByOptions

Methods

showsPrec :: Int -> TrainingJobSortByOptions -> ShowS #

show :: TrainingJobSortByOptions -> String #

showList :: [TrainingJobSortByOptions] -> ShowS #

NFData TrainingJobSortByOptions Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrainingJobSortByOptions

Methods

rnf :: TrainingJobSortByOptions -> () #

Eq TrainingJobSortByOptions Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrainingJobSortByOptions

Methods

(==) :: TrainingJobSortByOptions -> TrainingJobSortByOptions -> Bool #

(/=) :: TrainingJobSortByOptions -> TrainingJobSortByOptions -> Bool #

Ord TrainingJobSortByOptions Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrainingJobSortByOptions

Methods

compare :: TrainingJobSortByOptions -> TrainingJobSortByOptions -> Ordering #

(<) :: TrainingJobSortByOptions -> TrainingJobSortByOptions -> Bool #

(<=) :: TrainingJobSortByOptions -> TrainingJobSortByOptions -> Bool #

(>) :: TrainingJobSortByOptions -> TrainingJobSortByOptions -> Bool #

(>=) :: TrainingJobSortByOptions -> TrainingJobSortByOptions -> Bool #

max :: TrainingJobSortByOptions -> TrainingJobSortByOptions -> TrainingJobSortByOptions #

min :: TrainingJobSortByOptions -> TrainingJobSortByOptions -> TrainingJobSortByOptions #

Hashable TrainingJobSortByOptions Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrainingJobSortByOptions

Methods

hashWithSalt :: Int -> TrainingJobSortByOptions -> Int #

hash :: TrainingJobSortByOptions -> Int #

type Rep TrainingJobSortByOptions Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrainingJobSortByOptions

type Rep TrainingJobSortByOptions = D1 ('MetaData "TrainingJobSortByOptions" "Amazonka.SageMaker.Types.TrainingJobSortByOptions" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'True) (C1 ('MetaCons "TrainingJobSortByOptions'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromTrainingJobSortByOptions") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

TrainingJobStatus

newtype TrainingJobStatus Source #

Constructors

TrainingJobStatus' 

Fields

Bundled Patterns

pattern TrainingJobStatus_Completed :: TrainingJobStatus 
pattern TrainingJobStatus_Failed :: TrainingJobStatus 
pattern TrainingJobStatus_InProgress :: TrainingJobStatus 
pattern TrainingJobStatus_Stopped :: TrainingJobStatus 
pattern TrainingJobStatus_Stopping :: TrainingJobStatus 

Instances

Instances details
FromJSON TrainingJobStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrainingJobStatus

Methods

parseJSON :: Value -> Parser TrainingJobStatus #

parseJSONList :: Value -> Parser [TrainingJobStatus] #

FromJSONKey TrainingJobStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrainingJobStatus

Methods

fromJSONKey :: FromJSONKeyFunction TrainingJobStatus #

fromJSONKeyList :: FromJSONKeyFunction [TrainingJobStatus] #

ToJSON TrainingJobStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrainingJobStatus

Methods

toJSON :: TrainingJobStatus -> Value #

toEncoding :: TrainingJobStatus -> Encoding #

toJSONList :: [TrainingJobStatus] -> Value #

toEncodingList :: [TrainingJobStatus] -> Encoding #

ToJSONKey TrainingJobStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrainingJobStatus

Methods

toJSONKey :: ToJSONKeyFunction TrainingJobStatus #

toJSONKeyList :: ToJSONKeyFunction [TrainingJobStatus] #

ToByteString TrainingJobStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrainingJobStatus

Methods

toBS :: TrainingJobStatus -> ByteString #

ToHeader TrainingJobStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrainingJobStatus

Methods

toHeader :: HeaderName -> TrainingJobStatus -> [Header] #

ToLog TrainingJobStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrainingJobStatus

Methods

build :: TrainingJobStatus -> ByteStringBuilder #

ToQuery TrainingJobStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrainingJobStatus

Methods

toQuery :: TrainingJobStatus -> QueryString #

FromText TrainingJobStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrainingJobStatus

Methods

fromText :: Text -> Either String TrainingJobStatus #

ToText TrainingJobStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrainingJobStatus

Methods

toText :: TrainingJobStatus -> Text #

FromXML TrainingJobStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrainingJobStatus

Methods

parseXML :: [Node] -> Either String TrainingJobStatus #

ToXML TrainingJobStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrainingJobStatus

Methods

toXML :: TrainingJobStatus -> XML #

Generic TrainingJobStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrainingJobStatus

Associated Types

type Rep TrainingJobStatus :: Type -> Type #

Methods

from :: TrainingJobStatus -> Rep TrainingJobStatus x #

to :: Rep TrainingJobStatus x -> TrainingJobStatus #

Read TrainingJobStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrainingJobStatus

Methods

readsPrec :: Int -> ReadS TrainingJobStatus #

readList :: ReadS [TrainingJobStatus] #

readPrec :: ReadPrec TrainingJobStatus #

readListPrec :: ReadPrec [TrainingJobStatus] #

Show TrainingJobStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrainingJobStatus

Methods

showsPrec :: Int -> TrainingJobStatus -> ShowS #

show :: TrainingJobStatus -> String #

showList :: [TrainingJobStatus] -> ShowS #

NFData TrainingJobStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrainingJobStatus

Methods

rnf :: TrainingJobStatus -> () #

Eq TrainingJobStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrainingJobStatus

Methods

(==) :: TrainingJobStatus -> TrainingJobStatus -> Bool #

(/=) :: TrainingJobStatus -> TrainingJobStatus -> Bool #

Ord TrainingJobStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrainingJobStatus

Methods

compare :: TrainingJobStatus -> TrainingJobStatus -> Ordering #

(<) :: TrainingJobStatus -> TrainingJobStatus -> Bool #

(<=) :: TrainingJobStatus -> TrainingJobStatus -> Bool #

(>) :: TrainingJobStatus -> TrainingJobStatus -> Bool #

(>=) :: TrainingJobStatus -> TrainingJobStatus -> Bool #

max :: TrainingJobStatus -> TrainingJobStatus -> TrainingJobStatus #

min :: TrainingJobStatus -> TrainingJobStatus -> TrainingJobStatus #

Hashable TrainingJobStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrainingJobStatus

Methods

hashWithSalt :: Int -> TrainingJobStatus -> Int #

hash :: TrainingJobStatus -> Int #

type Rep TrainingJobStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrainingJobStatus

type Rep TrainingJobStatus = D1 ('MetaData "TrainingJobStatus" "Amazonka.SageMaker.Types.TrainingJobStatus" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'True) (C1 ('MetaCons "TrainingJobStatus'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromTrainingJobStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

TransformInstanceType

newtype TransformInstanceType Source #

Constructors

TransformInstanceType' 

Fields

Bundled Patterns

pattern TransformInstanceType_Ml_c4_2xlarge :: TransformInstanceType 
pattern TransformInstanceType_Ml_c4_4xlarge :: TransformInstanceType 
pattern TransformInstanceType_Ml_c4_8xlarge :: TransformInstanceType 
pattern TransformInstanceType_Ml_c4_xlarge :: TransformInstanceType 
pattern TransformInstanceType_Ml_c5_18xlarge :: TransformInstanceType 
pattern TransformInstanceType_Ml_c5_2xlarge :: TransformInstanceType 
pattern TransformInstanceType_Ml_c5_4xlarge :: TransformInstanceType 
pattern TransformInstanceType_Ml_c5_9xlarge :: TransformInstanceType 
pattern TransformInstanceType_Ml_c5_xlarge :: TransformInstanceType 
pattern TransformInstanceType_Ml_g4dn_12xlarge :: TransformInstanceType 
pattern TransformInstanceType_Ml_g4dn_16xlarge :: TransformInstanceType 
pattern TransformInstanceType_Ml_g4dn_2xlarge :: TransformInstanceType 
pattern TransformInstanceType_Ml_g4dn_4xlarge :: TransformInstanceType 
pattern TransformInstanceType_Ml_g4dn_8xlarge :: TransformInstanceType 
pattern TransformInstanceType_Ml_g4dn_xlarge :: TransformInstanceType 
pattern TransformInstanceType_Ml_m4_10xlarge :: TransformInstanceType 
pattern TransformInstanceType_Ml_m4_16xlarge :: TransformInstanceType 
pattern TransformInstanceType_Ml_m4_2xlarge :: TransformInstanceType 
pattern TransformInstanceType_Ml_m4_4xlarge :: TransformInstanceType 
pattern TransformInstanceType_Ml_m4_xlarge :: TransformInstanceType 
pattern TransformInstanceType_Ml_m5_12xlarge :: TransformInstanceType 
pattern TransformInstanceType_Ml_m5_24xlarge :: TransformInstanceType 
pattern TransformInstanceType_Ml_m5_2xlarge :: TransformInstanceType 
pattern TransformInstanceType_Ml_m5_4xlarge :: TransformInstanceType 
pattern TransformInstanceType_Ml_m5_large :: TransformInstanceType 
pattern TransformInstanceType_Ml_m5_xlarge :: TransformInstanceType 
pattern TransformInstanceType_Ml_p2_16xlarge :: TransformInstanceType 
pattern TransformInstanceType_Ml_p2_8xlarge :: TransformInstanceType 
pattern TransformInstanceType_Ml_p2_xlarge :: TransformInstanceType 
pattern TransformInstanceType_Ml_p3_16xlarge :: TransformInstanceType 
pattern TransformInstanceType_Ml_p3_2xlarge :: TransformInstanceType 
pattern TransformInstanceType_Ml_p3_8xlarge :: TransformInstanceType 

Instances

Instances details
FromJSON TransformInstanceType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TransformInstanceType

Methods

parseJSON :: Value -> Parser TransformInstanceType #

parseJSONList :: Value -> Parser [TransformInstanceType] #

FromJSONKey TransformInstanceType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TransformInstanceType

Methods

fromJSONKey :: FromJSONKeyFunction TransformInstanceType #

fromJSONKeyList :: FromJSONKeyFunction [TransformInstanceType] #

ToJSON TransformInstanceType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TransformInstanceType

Methods

toJSON :: TransformInstanceType -> Value #

toEncoding :: TransformInstanceType -> Encoding #

toJSONList :: [TransformInstanceType] -> Value #

toEncodingList :: [TransformInstanceType] -> Encoding #

ToJSONKey TransformInstanceType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TransformInstanceType

Methods

toJSONKey :: ToJSONKeyFunction TransformInstanceType #

toJSONKeyList :: ToJSONKeyFunction [TransformInstanceType] #

ToByteString TransformInstanceType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TransformInstanceType

Methods

toBS :: TransformInstanceType -> ByteString #

ToHeader TransformInstanceType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TransformInstanceType

Methods

toHeader :: HeaderName -> TransformInstanceType -> [Header] #

ToLog TransformInstanceType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TransformInstanceType

Methods

build :: TransformInstanceType -> ByteStringBuilder #

ToQuery TransformInstanceType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TransformInstanceType

Methods

toQuery :: TransformInstanceType -> QueryString #

FromText TransformInstanceType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TransformInstanceType

Methods

fromText :: Text -> Either String TransformInstanceType #

ToText TransformInstanceType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TransformInstanceType

Methods

toText :: TransformInstanceType -> Text #

FromXML TransformInstanceType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TransformInstanceType

Methods

parseXML :: [Node] -> Either String TransformInstanceType #

ToXML TransformInstanceType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TransformInstanceType

Methods

toXML :: TransformInstanceType -> XML #

Generic TransformInstanceType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TransformInstanceType

Associated Types

type Rep TransformInstanceType :: Type -> Type #

Methods

from :: TransformInstanceType -> Rep TransformInstanceType x #

to :: Rep TransformInstanceType x -> TransformInstanceType #

Read TransformInstanceType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TransformInstanceType

Methods

readsPrec :: Int -> ReadS TransformInstanceType #

readList :: ReadS [TransformInstanceType] #

readPrec :: ReadPrec TransformInstanceType #

readListPrec :: ReadPrec [TransformInstanceType] #

Show TransformInstanceType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TransformInstanceType

Methods

showsPrec :: Int -> TransformInstanceType -> ShowS #

show :: TransformInstanceType -> String #

showList :: [TransformInstanceType] -> ShowS #

NFData TransformInstanceType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TransformInstanceType

Methods

rnf :: TransformInstanceType -> () #

Eq TransformInstanceType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TransformInstanceType

Methods

(==) :: TransformInstanceType -> TransformInstanceType -> Bool #

(/=) :: TransformInstanceType -> TransformInstanceType -> Bool #

Ord TransformInstanceType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TransformInstanceType

Methods

compare :: TransformInstanceType -> TransformInstanceType -> Ordering #

(<) :: TransformInstanceType -> TransformInstanceType -> Bool #

(<=) :: TransformInstanceType -> TransformInstanceType -> Bool #

(>) :: TransformInstanceType -> TransformInstanceType -> Bool #

(>=) :: TransformInstanceType -> TransformInstanceType -> Bool #

max :: TransformInstanceType -> TransformInstanceType -> TransformInstanceType #

min :: TransformInstanceType -> TransformInstanceType -> TransformInstanceType #

Hashable TransformInstanceType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TransformInstanceType

Methods

hashWithSalt :: Int -> TransformInstanceType -> Int #

hash :: TransformInstanceType -> Int #

type Rep TransformInstanceType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TransformInstanceType

type Rep TransformInstanceType = D1 ('MetaData "TransformInstanceType" "Amazonka.SageMaker.Types.TransformInstanceType" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'True) (C1 ('MetaCons "TransformInstanceType'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromTransformInstanceType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

TransformJobStatus

newtype TransformJobStatus Source #

Constructors

TransformJobStatus' 

Fields

Bundled Patterns

pattern TransformJobStatus_Completed :: TransformJobStatus 
pattern TransformJobStatus_Failed :: TransformJobStatus 
pattern TransformJobStatus_InProgress :: TransformJobStatus 
pattern TransformJobStatus_Stopped :: TransformJobStatus 
pattern TransformJobStatus_Stopping :: TransformJobStatus 

Instances

Instances details
FromJSON TransformJobStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TransformJobStatus

Methods

parseJSON :: Value -> Parser TransformJobStatus #

parseJSONList :: Value -> Parser [TransformJobStatus] #

FromJSONKey TransformJobStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TransformJobStatus

Methods

fromJSONKey :: FromJSONKeyFunction TransformJobStatus #

fromJSONKeyList :: FromJSONKeyFunction [TransformJobStatus] #

ToJSON TransformJobStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TransformJobStatus

Methods

toJSON :: TransformJobStatus -> Value #

toEncoding :: TransformJobStatus -> Encoding #

toJSONList :: [TransformJobStatus] -> Value #

toEncodingList :: [TransformJobStatus] -> Encoding #

ToJSONKey TransformJobStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TransformJobStatus

Methods

toJSONKey :: ToJSONKeyFunction TransformJobStatus #

toJSONKeyList :: ToJSONKeyFunction [TransformJobStatus] #

ToByteString TransformJobStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TransformJobStatus

Methods

toBS :: TransformJobStatus -> ByteString #

ToHeader TransformJobStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TransformJobStatus

Methods

toHeader :: HeaderName -> TransformJobStatus -> [Header] #

ToLog TransformJobStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TransformJobStatus

Methods

build :: TransformJobStatus -> ByteStringBuilder #

ToQuery TransformJobStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TransformJobStatus

Methods

toQuery :: TransformJobStatus -> QueryString #

FromText TransformJobStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TransformJobStatus

Methods

fromText :: Text -> Either String TransformJobStatus #

ToText TransformJobStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TransformJobStatus

Methods

toText :: TransformJobStatus -> Text #

FromXML TransformJobStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TransformJobStatus

Methods

parseXML :: [Node] -> Either String TransformJobStatus #

ToXML TransformJobStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TransformJobStatus

Methods

toXML :: TransformJobStatus -> XML #

Generic TransformJobStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TransformJobStatus

Associated Types

type Rep TransformJobStatus :: Type -> Type #

Methods

from :: TransformJobStatus -> Rep TransformJobStatus x #

to :: Rep TransformJobStatus x -> TransformJobStatus #

Read TransformJobStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TransformJobStatus

Methods

readsPrec :: Int -> ReadS TransformJobStatus #

readList :: ReadS [TransformJobStatus] #

readPrec :: ReadPrec TransformJobStatus #

readListPrec :: ReadPrec [TransformJobStatus] #

Show TransformJobStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TransformJobStatus

Methods

showsPrec :: Int -> TransformJobStatus -> ShowS #

show :: TransformJobStatus -> String #

showList :: [TransformJobStatus] -> ShowS #

NFData TransformJobStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TransformJobStatus

Methods

rnf :: TransformJobStatus -> () #

Eq TransformJobStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TransformJobStatus

Methods

(==) :: TransformJobStatus -> TransformJobStatus -> Bool #

(/=) :: TransformJobStatus -> TransformJobStatus -> Bool #

Ord TransformJobStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TransformJobStatus

Methods

compare :: TransformJobStatus -> TransformJobStatus -> Ordering #

(<) :: TransformJobStatus -> TransformJobStatus -> Bool #

(<=) :: TransformJobStatus -> TransformJobStatus -> Bool #

(>) :: TransformJobStatus -> TransformJobStatus -> Bool #

(>=) :: TransformJobStatus -> TransformJobStatus -> Bool #

max :: TransformJobStatus -> TransformJobStatus -> TransformJobStatus #

min :: TransformJobStatus -> TransformJobStatus -> TransformJobStatus #

Hashable TransformJobStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TransformJobStatus

Methods

hashWithSalt :: Int -> TransformJobStatus -> Int #

hash :: TransformJobStatus -> Int #

type Rep TransformJobStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TransformJobStatus

type Rep TransformJobStatus = D1 ('MetaData "TransformJobStatus" "Amazonka.SageMaker.Types.TransformJobStatus" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'True) (C1 ('MetaCons "TransformJobStatus'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromTransformJobStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

TrialComponentPrimaryStatus

newtype TrialComponentPrimaryStatus Source #

Constructors

TrialComponentPrimaryStatus' 

Fields

Bundled Patterns

pattern TrialComponentPrimaryStatus_Completed :: TrialComponentPrimaryStatus 
pattern TrialComponentPrimaryStatus_Failed :: TrialComponentPrimaryStatus 
pattern TrialComponentPrimaryStatus_InProgress :: TrialComponentPrimaryStatus 
pattern TrialComponentPrimaryStatus_Stopped :: TrialComponentPrimaryStatus 
pattern TrialComponentPrimaryStatus_Stopping :: TrialComponentPrimaryStatus 

Instances

Instances details
FromJSON TrialComponentPrimaryStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrialComponentPrimaryStatus

Methods

parseJSON :: Value -> Parser TrialComponentPrimaryStatus #

parseJSONList :: Value -> Parser [TrialComponentPrimaryStatus] #

FromJSONKey TrialComponentPrimaryStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrialComponentPrimaryStatus

Methods

fromJSONKey :: FromJSONKeyFunction TrialComponentPrimaryStatus #

fromJSONKeyList :: FromJSONKeyFunction [TrialComponentPrimaryStatus] #

ToJSON TrialComponentPrimaryStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrialComponentPrimaryStatus

Methods

toJSON :: TrialComponentPrimaryStatus -> Value #

toEncoding :: TrialComponentPrimaryStatus -> Encoding #

toJSONList :: [TrialComponentPrimaryStatus] -> Value #

toEncodingList :: [TrialComponentPrimaryStatus] -> Encoding #

ToJSONKey TrialComponentPrimaryStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrialComponentPrimaryStatus

Methods

toJSONKey :: ToJSONKeyFunction TrialComponentPrimaryStatus #

toJSONKeyList :: ToJSONKeyFunction [TrialComponentPrimaryStatus] #

ToByteString TrialComponentPrimaryStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrialComponentPrimaryStatus

Methods

toBS :: TrialComponentPrimaryStatus -> ByteString #

ToHeader TrialComponentPrimaryStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrialComponentPrimaryStatus

Methods

toHeader :: HeaderName -> TrialComponentPrimaryStatus -> [Header] #

ToLog TrialComponentPrimaryStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrialComponentPrimaryStatus

Methods

build :: TrialComponentPrimaryStatus -> ByteStringBuilder #

ToQuery TrialComponentPrimaryStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrialComponentPrimaryStatus

Methods

toQuery :: TrialComponentPrimaryStatus -> QueryString #

FromText TrialComponentPrimaryStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrialComponentPrimaryStatus

Methods

fromText :: Text -> Either String TrialComponentPrimaryStatus #

ToText TrialComponentPrimaryStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrialComponentPrimaryStatus

Methods

toText :: TrialComponentPrimaryStatus -> Text #

FromXML TrialComponentPrimaryStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrialComponentPrimaryStatus

Methods

parseXML :: [Node] -> Either String TrialComponentPrimaryStatus #

ToXML TrialComponentPrimaryStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrialComponentPrimaryStatus

Methods

toXML :: TrialComponentPrimaryStatus -> XML #

Generic TrialComponentPrimaryStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrialComponentPrimaryStatus

Associated Types

type Rep TrialComponentPrimaryStatus :: Type -> Type #

Methods

from :: TrialComponentPrimaryStatus -> Rep TrialComponentPrimaryStatus x #

to :: Rep TrialComponentPrimaryStatus x -> TrialComponentPrimaryStatus #

Read TrialComponentPrimaryStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrialComponentPrimaryStatus

Methods

readsPrec :: Int -> ReadS TrialComponentPrimaryStatus #

readList :: ReadS [TrialComponentPrimaryStatus] #

readPrec :: ReadPrec TrialComponentPrimaryStatus #

readListPrec :: ReadPrec [TrialComponentPrimaryStatus] #

Show TrialComponentPrimaryStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrialComponentPrimaryStatus

Methods

showsPrec :: Int -> TrialComponentPrimaryStatus -> ShowS #

show :: TrialComponentPrimaryStatus -> String #

showList :: [TrialComponentPrimaryStatus] -> ShowS #

NFData TrialComponentPrimaryStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrialComponentPrimaryStatus

Methods

rnf :: TrialComponentPrimaryStatus -> () #

Eq TrialComponentPrimaryStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrialComponentPrimaryStatus

Methods

(==) :: TrialComponentPrimaryStatus -> TrialComponentPrimaryStatus -> Bool #

(/=) :: TrialComponentPrimaryStatus -> TrialComponentPrimaryStatus -> Bool #

Ord TrialComponentPrimaryStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrialComponentPrimaryStatus

Methods

compare :: TrialComponentPrimaryStatus -> TrialComponentPrimaryStatus -> Ordering #

(<) :: TrialComponentPrimaryStatus -> TrialComponentPrimaryStatus -> Bool #

(<=) :: TrialComponentPrimaryStatus -> TrialComponentPrimaryStatus -> Bool #

(>) :: TrialComponentPrimaryStatus -> TrialComponentPrimaryStatus -> Bool #

(>=) :: TrialComponentPrimaryStatus -> TrialComponentPrimaryStatus -> Bool #

max :: TrialComponentPrimaryStatus -> TrialComponentPrimaryStatus -> TrialComponentPrimaryStatus #

min :: TrialComponentPrimaryStatus -> TrialComponentPrimaryStatus -> TrialComponentPrimaryStatus #

Hashable TrialComponentPrimaryStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrialComponentPrimaryStatus

Methods

hashWithSalt :: Int -> TrialComponentPrimaryStatus -> Int #

hash :: TrialComponentPrimaryStatus -> Int #

type Rep TrialComponentPrimaryStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrialComponentPrimaryStatus

type Rep TrialComponentPrimaryStatus = D1 ('MetaData "TrialComponentPrimaryStatus" "Amazonka.SageMaker.Types.TrialComponentPrimaryStatus" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'True) (C1 ('MetaCons "TrialComponentPrimaryStatus'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromTrialComponentPrimaryStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

UserProfileSortKey

newtype UserProfileSortKey Source #

Constructors

UserProfileSortKey' 

Fields

Bundled Patterns

pattern UserProfileSortKey_CreationTime :: UserProfileSortKey 
pattern UserProfileSortKey_LastModifiedTime :: UserProfileSortKey 

Instances

Instances details
FromJSON UserProfileSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.UserProfileSortKey

Methods

parseJSON :: Value -> Parser UserProfileSortKey #

parseJSONList :: Value -> Parser [UserProfileSortKey] #

FromJSONKey UserProfileSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.UserProfileSortKey

Methods

fromJSONKey :: FromJSONKeyFunction UserProfileSortKey #

fromJSONKeyList :: FromJSONKeyFunction [UserProfileSortKey] #

ToJSON UserProfileSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.UserProfileSortKey

Methods

toJSON :: UserProfileSortKey -> Value #

toEncoding :: UserProfileSortKey -> Encoding #

toJSONList :: [UserProfileSortKey] -> Value #

toEncodingList :: [UserProfileSortKey] -> Encoding #

ToJSONKey UserProfileSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.UserProfileSortKey

Methods

toJSONKey :: ToJSONKeyFunction UserProfileSortKey #

toJSONKeyList :: ToJSONKeyFunction [UserProfileSortKey] #

ToByteString UserProfileSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.UserProfileSortKey

Methods

toBS :: UserProfileSortKey -> ByteString #

ToHeader UserProfileSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.UserProfileSortKey

Methods

toHeader :: HeaderName -> UserProfileSortKey -> [Header] #

ToLog UserProfileSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.UserProfileSortKey

Methods

build :: UserProfileSortKey -> ByteStringBuilder #

ToQuery UserProfileSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.UserProfileSortKey

Methods

toQuery :: UserProfileSortKey -> QueryString #

FromText UserProfileSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.UserProfileSortKey

Methods

fromText :: Text -> Either String UserProfileSortKey #

ToText UserProfileSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.UserProfileSortKey

Methods

toText :: UserProfileSortKey -> Text #

FromXML UserProfileSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.UserProfileSortKey

Methods

parseXML :: [Node] -> Either String UserProfileSortKey #

ToXML UserProfileSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.UserProfileSortKey

Methods

toXML :: UserProfileSortKey -> XML #

Generic UserProfileSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.UserProfileSortKey

Associated Types

type Rep UserProfileSortKey :: Type -> Type #

Methods

from :: UserProfileSortKey -> Rep UserProfileSortKey x #

to :: Rep UserProfileSortKey x -> UserProfileSortKey #

Read UserProfileSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.UserProfileSortKey

Methods

readsPrec :: Int -> ReadS UserProfileSortKey #

readList :: ReadS [UserProfileSortKey] #

readPrec :: ReadPrec UserProfileSortKey #

readListPrec :: ReadPrec [UserProfileSortKey] #

Show UserProfileSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.UserProfileSortKey

Methods

showsPrec :: Int -> UserProfileSortKey -> ShowS #

show :: UserProfileSortKey -> String #

showList :: [UserProfileSortKey] -> ShowS #

NFData UserProfileSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.UserProfileSortKey

Methods

rnf :: UserProfileSortKey -> () #

Eq UserProfileSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.UserProfileSortKey

Methods

(==) :: UserProfileSortKey -> UserProfileSortKey -> Bool #

(/=) :: UserProfileSortKey -> UserProfileSortKey -> Bool #

Ord UserProfileSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.UserProfileSortKey

Methods

compare :: UserProfileSortKey -> UserProfileSortKey -> Ordering #

(<) :: UserProfileSortKey -> UserProfileSortKey -> Bool #

(<=) :: UserProfileSortKey -> UserProfileSortKey -> Bool #

(>) :: UserProfileSortKey -> UserProfileSortKey -> Bool #

(>=) :: UserProfileSortKey -> UserProfileSortKey -> Bool #

max :: UserProfileSortKey -> UserProfileSortKey -> UserProfileSortKey #

min :: UserProfileSortKey -> UserProfileSortKey -> UserProfileSortKey #

Hashable UserProfileSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.UserProfileSortKey

Methods

hashWithSalt :: Int -> UserProfileSortKey -> Int #

hash :: UserProfileSortKey -> Int #

type Rep UserProfileSortKey Source # 
Instance details

Defined in Amazonka.SageMaker.Types.UserProfileSortKey

type Rep UserProfileSortKey = D1 ('MetaData "UserProfileSortKey" "Amazonka.SageMaker.Types.UserProfileSortKey" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'True) (C1 ('MetaCons "UserProfileSortKey'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromUserProfileSortKey") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

UserProfileStatus

newtype UserProfileStatus Source #

Constructors

UserProfileStatus' 

Fields

Bundled Patterns

pattern UserProfileStatus_Delete_Failed :: UserProfileStatus 
pattern UserProfileStatus_Deleting :: UserProfileStatus 
pattern UserProfileStatus_Failed :: UserProfileStatus 
pattern UserProfileStatus_InService :: UserProfileStatus 
pattern UserProfileStatus_Pending :: UserProfileStatus 
pattern UserProfileStatus_Update_Failed :: UserProfileStatus 
pattern UserProfileStatus_Updating :: UserProfileStatus 

Instances

Instances details
FromJSON UserProfileStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.UserProfileStatus

Methods

parseJSON :: Value -> Parser UserProfileStatus #

parseJSONList :: Value -> Parser [UserProfileStatus] #

FromJSONKey UserProfileStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.UserProfileStatus

Methods

fromJSONKey :: FromJSONKeyFunction UserProfileStatus #

fromJSONKeyList :: FromJSONKeyFunction [UserProfileStatus] #

ToJSON UserProfileStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.UserProfileStatus

Methods

toJSON :: UserProfileStatus -> Value #

toEncoding :: UserProfileStatus -> Encoding #

toJSONList :: [UserProfileStatus] -> Value #

toEncodingList :: [UserProfileStatus] -> Encoding #

ToJSONKey UserProfileStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.UserProfileStatus

Methods

toJSONKey :: ToJSONKeyFunction UserProfileStatus #

toJSONKeyList :: ToJSONKeyFunction [UserProfileStatus] #

ToByteString UserProfileStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.UserProfileStatus

Methods

toBS :: UserProfileStatus -> ByteString #

ToHeader UserProfileStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.UserProfileStatus

Methods

toHeader :: HeaderName -> UserProfileStatus -> [Header] #

ToLog UserProfileStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.UserProfileStatus

Methods

build :: UserProfileStatus -> ByteStringBuilder #

ToQuery UserProfileStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.UserProfileStatus

Methods

toQuery :: UserProfileStatus -> QueryString #

FromText UserProfileStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.UserProfileStatus

Methods

fromText :: Text -> Either String UserProfileStatus #

ToText UserProfileStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.UserProfileStatus

Methods

toText :: UserProfileStatus -> Text #

FromXML UserProfileStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.UserProfileStatus

Methods

parseXML :: [Node] -> Either String UserProfileStatus #

ToXML UserProfileStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.UserProfileStatus

Methods

toXML :: UserProfileStatus -> XML #

Generic UserProfileStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.UserProfileStatus

Associated Types

type Rep UserProfileStatus :: Type -> Type #

Methods

from :: UserProfileStatus -> Rep UserProfileStatus x #

to :: Rep UserProfileStatus x -> UserProfileStatus #

Read UserProfileStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.UserProfileStatus

Methods

readsPrec :: Int -> ReadS UserProfileStatus #

readList :: ReadS [UserProfileStatus] #

readPrec :: ReadPrec UserProfileStatus #

readListPrec :: ReadPrec [UserProfileStatus] #

Show UserProfileStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.UserProfileStatus

Methods

showsPrec :: Int -> UserProfileStatus -> ShowS #

show :: UserProfileStatus -> String #

showList :: [UserProfileStatus] -> ShowS #

NFData UserProfileStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.UserProfileStatus

Methods

rnf :: UserProfileStatus -> () #

Eq UserProfileStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.UserProfileStatus

Methods

(==) :: UserProfileStatus -> UserProfileStatus -> Bool #

(/=) :: UserProfileStatus -> UserProfileStatus -> Bool #

Ord UserProfileStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.UserProfileStatus

Methods

compare :: UserProfileStatus -> UserProfileStatus -> Ordering #

(<) :: UserProfileStatus -> UserProfileStatus -> Bool #

(<=) :: UserProfileStatus -> UserProfileStatus -> Bool #

(>) :: UserProfileStatus -> UserProfileStatus -> Bool #

(>=) :: UserProfileStatus -> UserProfileStatus -> Bool #

max :: UserProfileStatus -> UserProfileStatus -> UserProfileStatus #

min :: UserProfileStatus -> UserProfileStatus -> UserProfileStatus #

Hashable UserProfileStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.UserProfileStatus

Methods

hashWithSalt :: Int -> UserProfileStatus -> Int #

hash :: UserProfileStatus -> Int #

type Rep UserProfileStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.UserProfileStatus

type Rep UserProfileStatus = D1 ('MetaData "UserProfileStatus" "Amazonka.SageMaker.Types.UserProfileStatus" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'True) (C1 ('MetaCons "UserProfileStatus'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromUserProfileStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

VariantPropertyType

newtype VariantPropertyType Source #

Constructors

VariantPropertyType' 

Fields

Bundled Patterns

pattern VariantPropertyType_DataCaptureConfig :: VariantPropertyType 
pattern VariantPropertyType_DesiredInstanceCount :: VariantPropertyType 
pattern VariantPropertyType_DesiredWeight :: VariantPropertyType 

Instances

Instances details
FromJSON VariantPropertyType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.VariantPropertyType

Methods

parseJSON :: Value -> Parser VariantPropertyType #

parseJSONList :: Value -> Parser [VariantPropertyType] #

FromJSONKey VariantPropertyType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.VariantPropertyType

Methods

fromJSONKey :: FromJSONKeyFunction VariantPropertyType #

fromJSONKeyList :: FromJSONKeyFunction [VariantPropertyType] #

ToJSON VariantPropertyType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.VariantPropertyType

Methods

toJSON :: VariantPropertyType -> Value #

toEncoding :: VariantPropertyType -> Encoding #

toJSONList :: [VariantPropertyType] -> Value #

toEncodingList :: [VariantPropertyType] -> Encoding #

ToJSONKey VariantPropertyType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.VariantPropertyType

Methods

toJSONKey :: ToJSONKeyFunction VariantPropertyType #

toJSONKeyList :: ToJSONKeyFunction [VariantPropertyType] #

ToByteString VariantPropertyType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.VariantPropertyType

Methods

toBS :: VariantPropertyType -> ByteString #

ToHeader VariantPropertyType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.VariantPropertyType

Methods

toHeader :: HeaderName -> VariantPropertyType -> [Header] #

ToLog VariantPropertyType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.VariantPropertyType

Methods

build :: VariantPropertyType -> ByteStringBuilder #

ToQuery VariantPropertyType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.VariantPropertyType

Methods

toQuery :: VariantPropertyType -> QueryString #

FromText VariantPropertyType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.VariantPropertyType

Methods

fromText :: Text -> Either String VariantPropertyType #

ToText VariantPropertyType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.VariantPropertyType

Methods

toText :: VariantPropertyType -> Text #

FromXML VariantPropertyType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.VariantPropertyType

Methods

parseXML :: [Node] -> Either String VariantPropertyType #

ToXML VariantPropertyType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.VariantPropertyType

Methods

toXML :: VariantPropertyType -> XML #

Generic VariantPropertyType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.VariantPropertyType

Associated Types

type Rep VariantPropertyType :: Type -> Type #

Methods

from :: VariantPropertyType -> Rep VariantPropertyType x #

to :: Rep VariantPropertyType x -> VariantPropertyType #

Read VariantPropertyType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.VariantPropertyType

Methods

readsPrec :: Int -> ReadS VariantPropertyType #

readList :: ReadS [VariantPropertyType] #

readPrec :: ReadPrec VariantPropertyType #

readListPrec :: ReadPrec [VariantPropertyType] #

Show VariantPropertyType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.VariantPropertyType

Methods

showsPrec :: Int -> VariantPropertyType -> ShowS #

show :: VariantPropertyType -> String #

showList :: [VariantPropertyType] -> ShowS #

NFData VariantPropertyType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.VariantPropertyType

Methods

rnf :: VariantPropertyType -> () #

Eq VariantPropertyType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.VariantPropertyType

Methods

(==) :: VariantPropertyType -> VariantPropertyType -> Bool #

(/=) :: VariantPropertyType -> VariantPropertyType -> Bool #

Ord VariantPropertyType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.VariantPropertyType

Methods

compare :: VariantPropertyType -> VariantPropertyType -> Ordering #

(<) :: VariantPropertyType -> VariantPropertyType -> Bool #

(<=) :: VariantPropertyType -> VariantPropertyType -> Bool #

(>) :: VariantPropertyType -> VariantPropertyType -> Bool #

(>=) :: VariantPropertyType -> VariantPropertyType -> Bool #

max :: VariantPropertyType -> VariantPropertyType -> VariantPropertyType #

min :: VariantPropertyType -> VariantPropertyType -> VariantPropertyType #

Hashable VariantPropertyType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.VariantPropertyType

Methods

hashWithSalt :: Int -> VariantPropertyType -> Int #

hash :: VariantPropertyType -> Int #

type Rep VariantPropertyType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.VariantPropertyType

type Rep VariantPropertyType = D1 ('MetaData "VariantPropertyType" "Amazonka.SageMaker.Types.VariantPropertyType" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'True) (C1 ('MetaCons "VariantPropertyType'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromVariantPropertyType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

VariantStatus

newtype VariantStatus Source #

Constructors

VariantStatus' 

Fields

Bundled Patterns

pattern VariantStatus_ActivatingTraffic :: VariantStatus 
pattern VariantStatus_Baking :: VariantStatus 
pattern VariantStatus_Creating :: VariantStatus 
pattern VariantStatus_Deleting :: VariantStatus 
pattern VariantStatus_Updating :: VariantStatus 

Instances

Instances details
FromJSON VariantStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.VariantStatus

Methods

parseJSON :: Value -> Parser VariantStatus #

parseJSONList :: Value -> Parser [VariantStatus] #

FromJSONKey VariantStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.VariantStatus

Methods

fromJSONKey :: FromJSONKeyFunction VariantStatus #

fromJSONKeyList :: FromJSONKeyFunction [VariantStatus] #

ToJSON VariantStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.VariantStatus

Methods

toJSON :: VariantStatus -> Value #

toEncoding :: VariantStatus -> Encoding #

toJSONList :: [VariantStatus] -> Value #

toEncodingList :: [VariantStatus] -> Encoding #

ToJSONKey VariantStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.VariantStatus

Methods

toJSONKey :: ToJSONKeyFunction VariantStatus #

toJSONKeyList :: ToJSONKeyFunction [VariantStatus] #

ToByteString VariantStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.VariantStatus

Methods

toBS :: VariantStatus -> ByteString #

ToHeader VariantStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.VariantStatus

Methods

toHeader :: HeaderName -> VariantStatus -> [Header] #

ToLog VariantStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.VariantStatus

Methods

build :: VariantStatus -> ByteStringBuilder #

ToQuery VariantStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.VariantStatus

Methods

toQuery :: VariantStatus -> QueryString #

FromText VariantStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.VariantStatus

Methods

fromText :: Text -> Either String VariantStatus #

ToText VariantStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.VariantStatus

Methods

toText :: VariantStatus -> Text #

FromXML VariantStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.VariantStatus

Methods

parseXML :: [Node] -> Either String VariantStatus #

ToXML VariantStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.VariantStatus

Methods

toXML :: VariantStatus -> XML #

Generic VariantStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.VariantStatus

Associated Types

type Rep VariantStatus :: Type -> Type #

Methods

from :: VariantStatus -> Rep VariantStatus x #

to :: Rep VariantStatus x -> VariantStatus #

Read VariantStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.VariantStatus

Methods

readsPrec :: Int -> ReadS VariantStatus #

readList :: ReadS [VariantStatus] #

readPrec :: ReadPrec VariantStatus #

readListPrec :: ReadPrec [VariantStatus] #

Show VariantStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.VariantStatus

Methods

showsPrec :: Int -> VariantStatus -> ShowS #

show :: VariantStatus -> String #

showList :: [VariantStatus] -> ShowS #

NFData VariantStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.VariantStatus

Methods

rnf :: VariantStatus -> () #

Eq VariantStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.VariantStatus

Methods

(==) :: VariantStatus -> VariantStatus -> Bool #

(/=) :: VariantStatus -> VariantStatus -> Bool #

Ord VariantStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.VariantStatus

Methods

compare :: VariantStatus -> VariantStatus -> Ordering #

(<) :: VariantStatus -> VariantStatus -> Bool #

(<=) :: VariantStatus -> VariantStatus -> Bool #

(>) :: VariantStatus -> VariantStatus -> Bool #

(>=) :: VariantStatus -> VariantStatus -> Bool #

max :: VariantStatus -> VariantStatus -> VariantStatus #

min :: VariantStatus -> VariantStatus -> VariantStatus #

Hashable VariantStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.VariantStatus

Methods

hashWithSalt :: Int -> VariantStatus -> Int #

hash :: VariantStatus -> Int #

type Rep VariantStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.VariantStatus

type Rep VariantStatus = D1 ('MetaData "VariantStatus" "Amazonka.SageMaker.Types.VariantStatus" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'True) (C1 ('MetaCons "VariantStatus'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromVariantStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

VendorGuidance

newtype VendorGuidance Source #

Constructors

VendorGuidance' 

Fields

Bundled Patterns

pattern VendorGuidance_ARCHIVED :: VendorGuidance 
pattern VendorGuidance_NOT_PROVIDED :: VendorGuidance 
pattern VendorGuidance_STABLE :: VendorGuidance 
pattern VendorGuidance_TO_BE_ARCHIVED :: VendorGuidance 

Instances

Instances details
FromJSON VendorGuidance Source # 
Instance details

Defined in Amazonka.SageMaker.Types.VendorGuidance

Methods

parseJSON :: Value -> Parser VendorGuidance #

parseJSONList :: Value -> Parser [VendorGuidance] #

FromJSONKey VendorGuidance Source # 
Instance details

Defined in Amazonka.SageMaker.Types.VendorGuidance

Methods

fromJSONKey :: FromJSONKeyFunction VendorGuidance #

fromJSONKeyList :: FromJSONKeyFunction [VendorGuidance] #

ToJSON VendorGuidance Source # 
Instance details

Defined in Amazonka.SageMaker.Types.VendorGuidance

Methods

toJSON :: VendorGuidance -> Value #

toEncoding :: VendorGuidance -> Encoding #

toJSONList :: [VendorGuidance] -> Value #

toEncodingList :: [VendorGuidance] -> Encoding #

ToJSONKey VendorGuidance Source # 
Instance details

Defined in Amazonka.SageMaker.Types.VendorGuidance

Methods

toJSONKey :: ToJSONKeyFunction VendorGuidance #

toJSONKeyList :: ToJSONKeyFunction [VendorGuidance] #

ToByteString VendorGuidance Source # 
Instance details

Defined in Amazonka.SageMaker.Types.VendorGuidance

Methods

toBS :: VendorGuidance -> ByteString #

ToHeader VendorGuidance Source # 
Instance details

Defined in Amazonka.SageMaker.Types.VendorGuidance

Methods

toHeader :: HeaderName -> VendorGuidance -> [Header] #

ToLog VendorGuidance Source # 
Instance details

Defined in Amazonka.SageMaker.Types.VendorGuidance

Methods

build :: VendorGuidance -> ByteStringBuilder #

ToQuery VendorGuidance Source # 
Instance details

Defined in Amazonka.SageMaker.Types.VendorGuidance

Methods

toQuery :: VendorGuidance -> QueryString #

FromText VendorGuidance Source # 
Instance details

Defined in Amazonka.SageMaker.Types.VendorGuidance

Methods

fromText :: Text -> Either String VendorGuidance #

ToText VendorGuidance Source # 
Instance details

Defined in Amazonka.SageMaker.Types.VendorGuidance

Methods

toText :: VendorGuidance -> Text #

FromXML VendorGuidance Source # 
Instance details

Defined in Amazonka.SageMaker.Types.VendorGuidance

Methods

parseXML :: [Node] -> Either String VendorGuidance #

ToXML VendorGuidance Source # 
Instance details

Defined in Amazonka.SageMaker.Types.VendorGuidance

Methods

toXML :: VendorGuidance -> XML #

Generic VendorGuidance Source # 
Instance details

Defined in Amazonka.SageMaker.Types.VendorGuidance

Associated Types

type Rep VendorGuidance :: Type -> Type #

Methods

from :: VendorGuidance -> Rep VendorGuidance x #

to :: Rep VendorGuidance x -> VendorGuidance #

Read VendorGuidance Source # 
Instance details

Defined in Amazonka.SageMaker.Types.VendorGuidance

Methods

readsPrec :: Int -> ReadS VendorGuidance #

readList :: ReadS [VendorGuidance] #

readPrec :: ReadPrec VendorGuidance #

readListPrec :: ReadPrec [VendorGuidance] #

Show VendorGuidance Source # 
Instance details

Defined in Amazonka.SageMaker.Types.VendorGuidance

Methods

showsPrec :: Int -> VendorGuidance -> ShowS #

show :: VendorGuidance -> String #

showList :: [VendorGuidance] -> ShowS #

NFData VendorGuidance Source # 
Instance details

Defined in Amazonka.SageMaker.Types.VendorGuidance

Methods

rnf :: VendorGuidance -> () #

Eq VendorGuidance Source # 
Instance details

Defined in Amazonka.SageMaker.Types.VendorGuidance

Methods

(==) :: VendorGuidance -> VendorGuidance -> Bool #

(/=) :: VendorGuidance -> VendorGuidance -> Bool #

Ord VendorGuidance Source # 
Instance details

Defined in Amazonka.SageMaker.Types.VendorGuidance

Methods

compare :: VendorGuidance -> VendorGuidance -> Ordering #

(<) :: VendorGuidance -> VendorGuidance -> Bool #

(<=) :: VendorGuidance -> VendorGuidance -> Bool #

(>) :: VendorGuidance -> VendorGuidance -> Bool #

(>=) :: VendorGuidance -> VendorGuidance -> Bool #

max :: VendorGuidance -> VendorGuidance -> VendorGuidance #

min :: VendorGuidance -> VendorGuidance -> VendorGuidance #

Hashable VendorGuidance Source # 
Instance details

Defined in Amazonka.SageMaker.Types.VendorGuidance

Methods

hashWithSalt :: Int -> VendorGuidance -> Int #

hash :: VendorGuidance -> Int #

type Rep VendorGuidance Source # 
Instance details

Defined in Amazonka.SageMaker.Types.VendorGuidance

type Rep VendorGuidance = D1 ('MetaData "VendorGuidance" "Amazonka.SageMaker.Types.VendorGuidance" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'True) (C1 ('MetaCons "VendorGuidance'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromVendorGuidance") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

WarmPoolResourceStatus

newtype WarmPoolResourceStatus Source #

Constructors

WarmPoolResourceStatus' 

Fields

Bundled Patterns

pattern WarmPoolResourceStatus_Available :: WarmPoolResourceStatus 
pattern WarmPoolResourceStatus_InUse :: WarmPoolResourceStatus 
pattern WarmPoolResourceStatus_Reused :: WarmPoolResourceStatus 
pattern WarmPoolResourceStatus_Terminated :: WarmPoolResourceStatus 

Instances

Instances details
FromJSON WarmPoolResourceStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.WarmPoolResourceStatus

Methods

parseJSON :: Value -> Parser WarmPoolResourceStatus #

parseJSONList :: Value -> Parser [WarmPoolResourceStatus] #

FromJSONKey WarmPoolResourceStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.WarmPoolResourceStatus

Methods

fromJSONKey :: FromJSONKeyFunction WarmPoolResourceStatus #

fromJSONKeyList :: FromJSONKeyFunction [WarmPoolResourceStatus] #

ToJSON WarmPoolResourceStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.WarmPoolResourceStatus

Methods

toJSON :: WarmPoolResourceStatus -> Value #

toEncoding :: WarmPoolResourceStatus -> Encoding #

toJSONList :: [WarmPoolResourceStatus] -> Value #

toEncodingList :: [WarmPoolResourceStatus] -> Encoding #

ToJSONKey WarmPoolResourceStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.WarmPoolResourceStatus

Methods

toJSONKey :: ToJSONKeyFunction WarmPoolResourceStatus #

toJSONKeyList :: ToJSONKeyFunction [WarmPoolResourceStatus] #

ToByteString WarmPoolResourceStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.WarmPoolResourceStatus

Methods

toBS :: WarmPoolResourceStatus -> ByteString #

ToHeader WarmPoolResourceStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.WarmPoolResourceStatus

Methods

toHeader :: HeaderName -> WarmPoolResourceStatus -> [Header] #

ToLog WarmPoolResourceStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.WarmPoolResourceStatus

Methods

build :: WarmPoolResourceStatus -> ByteStringBuilder #

ToQuery WarmPoolResourceStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.WarmPoolResourceStatus

Methods

toQuery :: WarmPoolResourceStatus -> QueryString #

FromText WarmPoolResourceStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.WarmPoolResourceStatus

Methods

fromText :: Text -> Either String WarmPoolResourceStatus #

ToText WarmPoolResourceStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.WarmPoolResourceStatus

Methods

toText :: WarmPoolResourceStatus -> Text #

FromXML WarmPoolResourceStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.WarmPoolResourceStatus

Methods

parseXML :: [Node] -> Either String WarmPoolResourceStatus #

ToXML WarmPoolResourceStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.WarmPoolResourceStatus

Methods

toXML :: WarmPoolResourceStatus -> XML #

Generic WarmPoolResourceStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.WarmPoolResourceStatus

Associated Types

type Rep WarmPoolResourceStatus :: Type -> Type #

Methods

from :: WarmPoolResourceStatus -> Rep WarmPoolResourceStatus x #

to :: Rep WarmPoolResourceStatus x -> WarmPoolResourceStatus #

Read WarmPoolResourceStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.WarmPoolResourceStatus

Methods

readsPrec :: Int -> ReadS WarmPoolResourceStatus #

readList :: ReadS [WarmPoolResourceStatus] #

readPrec :: ReadPrec WarmPoolResourceStatus #

readListPrec :: ReadPrec [WarmPoolResourceStatus] #

Show WarmPoolResourceStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.WarmPoolResourceStatus

Methods

showsPrec :: Int -> WarmPoolResourceStatus -> ShowS #

show :: WarmPoolResourceStatus -> String #

showList :: [WarmPoolResourceStatus] -> ShowS #

NFData WarmPoolResourceStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.WarmPoolResourceStatus

Methods

rnf :: WarmPoolResourceStatus -> () #

Eq WarmPoolResourceStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.WarmPoolResourceStatus

Methods

(==) :: WarmPoolResourceStatus -> WarmPoolResourceStatus -> Bool #

(/=) :: WarmPoolResourceStatus -> WarmPoolResourceStatus -> Bool #

Ord WarmPoolResourceStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.WarmPoolResourceStatus

Methods

compare :: WarmPoolResourceStatus -> WarmPoolResourceStatus -> Ordering #

(<) :: WarmPoolResourceStatus -> WarmPoolResourceStatus -> Bool #

(<=) :: WarmPoolResourceStatus -> WarmPoolResourceStatus -> Bool #

(>) :: WarmPoolResourceStatus -> WarmPoolResourceStatus -> Bool #

(>=) :: WarmPoolResourceStatus -> WarmPoolResourceStatus -> Bool #

max :: WarmPoolResourceStatus -> WarmPoolResourceStatus -> WarmPoolResourceStatus #

min :: WarmPoolResourceStatus -> WarmPoolResourceStatus -> WarmPoolResourceStatus #

Hashable WarmPoolResourceStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.WarmPoolResourceStatus

Methods

hashWithSalt :: Int -> WarmPoolResourceStatus -> Int #

hash :: WarmPoolResourceStatus -> Int #

type Rep WarmPoolResourceStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.WarmPoolResourceStatus

type Rep WarmPoolResourceStatus = D1 ('MetaData "WarmPoolResourceStatus" "Amazonka.SageMaker.Types.WarmPoolResourceStatus" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'True) (C1 ('MetaCons "WarmPoolResourceStatus'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromWarmPoolResourceStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

WorkforceStatus

newtype WorkforceStatus Source #

Constructors

WorkforceStatus' 

Fields

Bundled Patterns

pattern WorkforceStatus_Active :: WorkforceStatus 
pattern WorkforceStatus_Deleting :: WorkforceStatus 
pattern WorkforceStatus_Failed :: WorkforceStatus 
pattern WorkforceStatus_Initializing :: WorkforceStatus 
pattern WorkforceStatus_Updating :: WorkforceStatus 

Instances

Instances details
FromJSON WorkforceStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.WorkforceStatus

Methods

parseJSON :: Value -> Parser WorkforceStatus #

parseJSONList :: Value -> Parser [WorkforceStatus] #

FromJSONKey WorkforceStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.WorkforceStatus

Methods

fromJSONKey :: FromJSONKeyFunction WorkforceStatus #

fromJSONKeyList :: FromJSONKeyFunction [WorkforceStatus] #

ToJSON WorkforceStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.WorkforceStatus

Methods

toJSON :: WorkforceStatus -> Value #

toEncoding :: WorkforceStatus -> Encoding #

toJSONList :: [WorkforceStatus] -> Value #

toEncodingList :: [WorkforceStatus] -> Encoding #

ToJSONKey WorkforceStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.WorkforceStatus

Methods

toJSONKey :: ToJSONKeyFunction WorkforceStatus #

toJSONKeyList :: ToJSONKeyFunction [WorkforceStatus] #

ToByteString WorkforceStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.WorkforceStatus

Methods

toBS :: WorkforceStatus -> ByteString #

ToHeader WorkforceStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.WorkforceStatus

Methods

toHeader :: HeaderName -> WorkforceStatus -> [Header] #

ToLog WorkforceStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.WorkforceStatus

Methods

build :: WorkforceStatus -> ByteStringBuilder #

ToQuery WorkforceStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.WorkforceStatus

Methods

toQuery :: WorkforceStatus -> QueryString #

FromText WorkforceStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.WorkforceStatus

Methods

fromText :: Text -> Either String WorkforceStatus #

ToText WorkforceStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.WorkforceStatus

Methods

toText :: WorkforceStatus -> Text #

FromXML WorkforceStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.WorkforceStatus

Methods

parseXML :: [Node] -> Either String WorkforceStatus #

ToXML WorkforceStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.WorkforceStatus

Methods

toXML :: WorkforceStatus -> XML #

Generic WorkforceStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.WorkforceStatus

Associated Types

type Rep WorkforceStatus :: Type -> Type #

Methods

from :: WorkforceStatus -> Rep WorkforceStatus x #

to :: Rep WorkforceStatus x -> WorkforceStatus #

Read WorkforceStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.WorkforceStatus

Methods

readsPrec :: Int -> ReadS WorkforceStatus #

readList :: ReadS [WorkforceStatus] #

readPrec :: ReadPrec WorkforceStatus #

readListPrec :: ReadPrec [WorkforceStatus] #

Show WorkforceStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.WorkforceStatus

Methods

showsPrec :: Int -> WorkforceStatus -> ShowS #

show :: WorkforceStatus -> String #

showList :: [WorkforceStatus] -> ShowS #

NFData WorkforceStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.WorkforceStatus

Methods

rnf :: WorkforceStatus -> () #

Eq WorkforceStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.WorkforceStatus

Methods

(==) :: WorkforceStatus -> WorkforceStatus -> Bool #

(/=) :: WorkforceStatus -> WorkforceStatus -> Bool #

Ord WorkforceStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.WorkforceStatus

Methods

compare :: WorkforceStatus -> WorkforceStatus -> Ordering #

(<) :: WorkforceStatus -> WorkforceStatus -> Bool #

(<=) :: WorkforceStatus -> WorkforceStatus -> Bool #

(>) :: WorkforceStatus -> WorkforceStatus -> Bool #

(>=) :: WorkforceStatus -> WorkforceStatus -> Bool #

max :: WorkforceStatus -> WorkforceStatus -> WorkforceStatus #

min :: WorkforceStatus -> WorkforceStatus -> WorkforceStatus #

Hashable WorkforceStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.WorkforceStatus

Methods

hashWithSalt :: Int -> WorkforceStatus -> Int #

hash :: WorkforceStatus -> Int #

type Rep WorkforceStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.WorkforceStatus

type Rep WorkforceStatus = D1 ('MetaData "WorkforceStatus" "Amazonka.SageMaker.Types.WorkforceStatus" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'True) (C1 ('MetaCons "WorkforceStatus'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromWorkforceStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

ActionSource

data ActionSource Source #

A structure describing the source of an action.

See: newActionSource smart constructor.

Constructors

ActionSource' 

Fields

Instances

Instances details
FromJSON ActionSource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ActionSource

Methods

parseJSON :: Value -> Parser ActionSource #

parseJSONList :: Value -> Parser [ActionSource] #

ToJSON ActionSource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ActionSource

Methods

toJSON :: ActionSource -> Value #

toEncoding :: ActionSource -> Encoding #

toJSONList :: [ActionSource] -> Value #

toEncodingList :: [ActionSource] -> Encoding #

Generic ActionSource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ActionSource

Associated Types

type Rep ActionSource :: Type -> Type #

Methods

from :: ActionSource -> Rep ActionSource x #

to :: Rep ActionSource x -> ActionSource #

Read ActionSource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ActionSource

Methods

readsPrec :: Int -> ReadS ActionSource #

readList :: ReadS [ActionSource] #

readPrec :: ReadPrec ActionSource #

readListPrec :: ReadPrec [ActionSource] #

Show ActionSource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ActionSource

Methods

showsPrec :: Int -> ActionSource -> ShowS #

show :: ActionSource -> String #

showList :: [ActionSource] -> ShowS #

NFData ActionSource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ActionSource

Methods

rnf :: ActionSource -> () #

Eq ActionSource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ActionSource

Methods

(==) :: ActionSource -> ActionSource -> Bool #

(/=) :: ActionSource -> ActionSource -> Bool #

Hashable ActionSource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ActionSource

Methods

hashWithSalt :: Int -> ActionSource -> Int #

hash :: ActionSource -> Int #

type Rep ActionSource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ActionSource

type Rep ActionSource = D1 ('MetaData "ActionSource" "Amazonka.SageMaker.Types.ActionSource" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "ActionSource'" 'PrefixI 'True) (S1 ('MetaSel ('Just "sourceId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: (S1 ('MetaSel ('Just "sourceType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "sourceUri") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text))))

newActionSource Source #

Arguments

:: Text

$sel:sourceUri:ActionSource'

-> ActionSource 

Create a value of ActionSource with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:sourceId:ActionSource', actionSource_sourceId - The ID of the source.

$sel:sourceType:ActionSource', actionSource_sourceType - The type of the source.

$sel:sourceUri:ActionSource', actionSource_sourceUri - The URI of the source.

actionSource_sourceId :: Lens' ActionSource (Maybe Text) Source #

The ID of the source.

actionSource_sourceType :: Lens' ActionSource (Maybe Text) Source #

The type of the source.

actionSource_sourceUri :: Lens' ActionSource Text Source #

The URI of the source.

ActionSummary

data ActionSummary Source #

Lists the properties of an action. An action represents an action or activity. Some examples are a workflow step and a model deployment. Generally, an action involves at least one input artifact or output artifact.

See: newActionSummary smart constructor.

Constructors

ActionSummary' 

Fields

Instances

Instances details
FromJSON ActionSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ActionSummary

Methods

parseJSON :: Value -> Parser ActionSummary #

parseJSONList :: Value -> Parser [ActionSummary] #

Generic ActionSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ActionSummary

Associated Types

type Rep ActionSummary :: Type -> Type #

Methods

from :: ActionSummary -> Rep ActionSummary x #

to :: Rep ActionSummary x -> ActionSummary #

Read ActionSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ActionSummary

Methods

readsPrec :: Int -> ReadS ActionSummary #

readList :: ReadS [ActionSummary] #

readPrec :: ReadPrec ActionSummary #

readListPrec :: ReadPrec [ActionSummary] #

Show ActionSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ActionSummary

Methods

showsPrec :: Int -> ActionSummary -> ShowS #

show :: ActionSummary -> String #

showList :: [ActionSummary] -> ShowS #

NFData ActionSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ActionSummary

Methods

rnf :: ActionSummary -> () #

Eq ActionSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ActionSummary

Methods

(==) :: ActionSummary -> ActionSummary -> Bool #

(/=) :: ActionSummary -> ActionSummary -> Bool #

Hashable ActionSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ActionSummary

Methods

hashWithSalt :: Int -> ActionSummary -> Int #

hash :: ActionSummary -> Int #

type Rep ActionSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ActionSummary

type Rep ActionSummary = D1 ('MetaData "ActionSummary" "Amazonka.SageMaker.Types.ActionSummary" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "ActionSummary'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "actionArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: (S1 ('MetaSel ('Just "actionName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "actionType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))) :*: ((S1 ('MetaSel ('Just "creationTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :*: S1 ('MetaSel ('Just "lastModifiedTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX))) :*: (S1 ('MetaSel ('Just "source") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ActionSource)) :*: S1 ('MetaSel ('Just "status") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ActionStatus))))))

newActionSummary :: ActionSummary Source #

Create a value of ActionSummary with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:actionArn:ActionSummary', actionSummary_actionArn - The Amazon Resource Name (ARN) of the action.

$sel:actionName:ActionSummary', actionSummary_actionName - The name of the action.

$sel:actionType:ActionSummary', actionSummary_actionType - The type of the action.

$sel:creationTime:ActionSummary', actionSummary_creationTime - When the action was created.

$sel:lastModifiedTime:ActionSummary', actionSummary_lastModifiedTime - When the action was last modified.

$sel:source:ActionSummary', actionSummary_source - The source of the action.

$sel:status:ActionSummary', actionSummary_status - The status of the action.

actionSummary_actionArn :: Lens' ActionSummary (Maybe Text) Source #

The Amazon Resource Name (ARN) of the action.

actionSummary_actionName :: Lens' ActionSummary (Maybe Text) Source #

The name of the action.

actionSummary_actionType :: Lens' ActionSummary (Maybe Text) Source #

The type of the action.

actionSummary_creationTime :: Lens' ActionSummary (Maybe UTCTime) Source #

When the action was created.

actionSummary_lastModifiedTime :: Lens' ActionSummary (Maybe UTCTime) Source #

When the action was last modified.

actionSummary_source :: Lens' ActionSummary (Maybe ActionSource) Source #

The source of the action.

actionSummary_status :: Lens' ActionSummary (Maybe ActionStatus) Source #

The status of the action.

AdditionalInferenceSpecificationDefinition

data AdditionalInferenceSpecificationDefinition Source #

A structure of additional Inference Specification. Additional Inference Specification specifies details about inference jobs that can be run with models based on this model package

See: newAdditionalInferenceSpecificationDefinition smart constructor.

Constructors

AdditionalInferenceSpecificationDefinition' 

Fields

Instances

Instances details
FromJSON AdditionalInferenceSpecificationDefinition Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AdditionalInferenceSpecificationDefinition

Methods

parseJSON :: Value -> Parser AdditionalInferenceSpecificationDefinition #

parseJSONList :: Value -> Parser [AdditionalInferenceSpecificationDefinition] #

ToJSON AdditionalInferenceSpecificationDefinition Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AdditionalInferenceSpecificationDefinition

Methods

toJSON :: AdditionalInferenceSpecificationDefinition -> Value #

toEncoding :: AdditionalInferenceSpecificationDefinition -> Encoding #

toJSONList :: [AdditionalInferenceSpecificationDefinition] -> Value #

toEncodingList :: [AdditionalInferenceSpecificationDefinition] -> Encoding #

Generic AdditionalInferenceSpecificationDefinition Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AdditionalInferenceSpecificationDefinition

Associated Types

type Rep AdditionalInferenceSpecificationDefinition :: Type -> Type #

Methods

from :: AdditionalInferenceSpecificationDefinition -> Rep AdditionalInferenceSpecificationDefinition x #

to :: Rep AdditionalInferenceSpecificationDefinition x -> AdditionalInferenceSpecificationDefinition #

Read AdditionalInferenceSpecificationDefinition Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AdditionalInferenceSpecificationDefinition

Methods

readsPrec :: Int -> ReadS AdditionalInferenceSpecificationDefinition #

readList :: ReadS [AdditionalInferenceSpecificationDefinition] #

readPrec :: ReadPrec AdditionalInferenceSpecificationDefinition #

readListPrec :: ReadPrec [AdditionalInferenceSpecificationDefinition] #

Show AdditionalInferenceSpecificationDefinition Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AdditionalInferenceSpecificationDefinition

Methods

showsPrec :: Int -> AdditionalInferenceSpecificationDefinition -> ShowS #

show :: AdditionalInferenceSpecificationDefinition -> String #

showList :: [AdditionalInferenceSpecificationDefinition] -> ShowS #

NFData AdditionalInferenceSpecificationDefinition Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AdditionalInferenceSpecificationDefinition

Methods

rnf :: AdditionalInferenceSpecificationDefinition -> () #

Eq AdditionalInferenceSpecificationDefinition Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AdditionalInferenceSpecificationDefinition

Methods

(==) :: AdditionalInferenceSpecificationDefinition -> AdditionalInferenceSpecificationDefinition -> Bool #

(/=) :: AdditionalInferenceSpecificationDefinition -> AdditionalInferenceSpecificationDefinition -> Bool #

Hashable AdditionalInferenceSpecificationDefinition Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AdditionalInferenceSpecificationDefinition

Methods

hashWithSalt :: Int -> AdditionalInferenceSpecificationDefinition -> Int #

hash :: AdditionalInferenceSpecificationDefinition -> Int #

type Rep AdditionalInferenceSpecificationDefinition Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AdditionalInferenceSpecificationDefinition

type Rep AdditionalInferenceSpecificationDefinition = D1 ('MetaData "AdditionalInferenceSpecificationDefinition" "Amazonka.SageMaker.Types.AdditionalInferenceSpecificationDefinition" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "AdditionalInferenceSpecificationDefinition'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "description") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: (S1 ('MetaSel ('Just "supportedContentTypes") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [Text])) :*: S1 ('MetaSel ('Just "supportedRealtimeInferenceInstanceTypes") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [ProductionVariantInstanceType])))) :*: ((S1 ('MetaSel ('Just "supportedResponseMIMETypes") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [Text])) :*: S1 ('MetaSel ('Just "supportedTransformInstanceTypes") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe (NonEmpty TransformInstanceType)))) :*: (S1 ('MetaSel ('Just "name") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: S1 ('MetaSel ('Just "containers") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (NonEmpty ModelPackageContainerDefinition))))))

newAdditionalInferenceSpecificationDefinition Source #

Arguments

:: Text

$sel:name:AdditionalInferenceSpecificationDefinition'

-> NonEmpty ModelPackageContainerDefinition

$sel:containers:AdditionalInferenceSpecificationDefinition'

-> AdditionalInferenceSpecificationDefinition 

Create a value of AdditionalInferenceSpecificationDefinition with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:description:AdditionalInferenceSpecificationDefinition', additionalInferenceSpecificationDefinition_description - A description of the additional Inference specification

$sel:supportedContentTypes:AdditionalInferenceSpecificationDefinition', additionalInferenceSpecificationDefinition_supportedContentTypes - The supported MIME types for the input data.

$sel:supportedRealtimeInferenceInstanceTypes:AdditionalInferenceSpecificationDefinition', additionalInferenceSpecificationDefinition_supportedRealtimeInferenceInstanceTypes - A list of the instance types that are used to generate inferences in real-time.

$sel:supportedResponseMIMETypes:AdditionalInferenceSpecificationDefinition', additionalInferenceSpecificationDefinition_supportedResponseMIMETypes - The supported MIME types for the output data.

$sel:supportedTransformInstanceTypes:AdditionalInferenceSpecificationDefinition', additionalInferenceSpecificationDefinition_supportedTransformInstanceTypes - A list of the instance types on which a transformation job can be run or on which an endpoint can be deployed.

$sel:name:AdditionalInferenceSpecificationDefinition', additionalInferenceSpecificationDefinition_name - A unique name to identify the additional inference specification. The name must be unique within the list of your additional inference specifications for a particular model package.

$sel:containers:AdditionalInferenceSpecificationDefinition', additionalInferenceSpecificationDefinition_containers - The Amazon ECR registry path of the Docker image that contains the inference code.

additionalInferenceSpecificationDefinition_description :: Lens' AdditionalInferenceSpecificationDefinition (Maybe Text) Source #

A description of the additional Inference specification

additionalInferenceSpecificationDefinition_supportedContentTypes :: Lens' AdditionalInferenceSpecificationDefinition (Maybe [Text]) Source #

The supported MIME types for the input data.

additionalInferenceSpecificationDefinition_supportedRealtimeInferenceInstanceTypes :: Lens' AdditionalInferenceSpecificationDefinition (Maybe [ProductionVariantInstanceType]) Source #

A list of the instance types that are used to generate inferences in real-time.

additionalInferenceSpecificationDefinition_supportedResponseMIMETypes :: Lens' AdditionalInferenceSpecificationDefinition (Maybe [Text]) Source #

The supported MIME types for the output data.

additionalInferenceSpecificationDefinition_supportedTransformInstanceTypes :: Lens' AdditionalInferenceSpecificationDefinition (Maybe (NonEmpty TransformInstanceType)) Source #

A list of the instance types on which a transformation job can be run or on which an endpoint can be deployed.

additionalInferenceSpecificationDefinition_name :: Lens' AdditionalInferenceSpecificationDefinition Text Source #

A unique name to identify the additional inference specification. The name must be unique within the list of your additional inference specifications for a particular model package.

additionalInferenceSpecificationDefinition_containers :: Lens' AdditionalInferenceSpecificationDefinition (NonEmpty ModelPackageContainerDefinition) Source #

The Amazon ECR registry path of the Docker image that contains the inference code.

AgentVersion

data AgentVersion Source #

Edge Manager agent version.

See: newAgentVersion smart constructor.

Constructors

AgentVersion' 

Fields

Instances

Instances details
FromJSON AgentVersion Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AgentVersion

Methods

parseJSON :: Value -> Parser AgentVersion #

parseJSONList :: Value -> Parser [AgentVersion] #

Generic AgentVersion Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AgentVersion

Associated Types

type Rep AgentVersion :: Type -> Type #

Methods

from :: AgentVersion -> Rep AgentVersion x #

to :: Rep AgentVersion x -> AgentVersion #

Read AgentVersion Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AgentVersion

Methods

readsPrec :: Int -> ReadS AgentVersion #

readList :: ReadS [AgentVersion] #

readPrec :: ReadPrec AgentVersion #

readListPrec :: ReadPrec [AgentVersion] #

Show AgentVersion Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AgentVersion

Methods

showsPrec :: Int -> AgentVersion -> ShowS #

show :: AgentVersion -> String #

showList :: [AgentVersion] -> ShowS #

NFData AgentVersion Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AgentVersion

Methods

rnf :: AgentVersion -> () #

Eq AgentVersion Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AgentVersion

Methods

(==) :: AgentVersion -> AgentVersion -> Bool #

(/=) :: AgentVersion -> AgentVersion -> Bool #

Hashable AgentVersion Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AgentVersion

Methods

hashWithSalt :: Int -> AgentVersion -> Int #

hash :: AgentVersion -> Int #

type Rep AgentVersion Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AgentVersion

type Rep AgentVersion = D1 ('MetaData "AgentVersion" "Amazonka.SageMaker.Types.AgentVersion" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "AgentVersion'" 'PrefixI 'True) (S1 ('MetaSel ('Just "version") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: S1 ('MetaSel ('Just "agentCount") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Integer)))

newAgentVersion Source #

Arguments

:: Text

$sel:version:AgentVersion'

-> Integer

$sel:agentCount:AgentVersion'

-> AgentVersion 

Create a value of AgentVersion with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:version:AgentVersion', agentVersion_version - Version of the agent.

$sel:agentCount:AgentVersion', agentVersion_agentCount - The number of Edge Manager agents.

agentVersion_version :: Lens' AgentVersion Text Source #

Version of the agent.

agentVersion_agentCount :: Lens' AgentVersion Integer Source #

The number of Edge Manager agents.

Alarm

data Alarm Source #

An Amazon CloudWatch alarm configured to monitor metrics on an endpoint.

See: newAlarm smart constructor.

Constructors

Alarm' 

Fields

Instances

Instances details
FromJSON Alarm Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Alarm

Methods

parseJSON :: Value -> Parser Alarm #

parseJSONList :: Value -> Parser [Alarm] #

ToJSON Alarm Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Alarm

Methods

toJSON :: Alarm -> Value #

toEncoding :: Alarm -> Encoding #

toJSONList :: [Alarm] -> Value #

toEncodingList :: [Alarm] -> Encoding #

Generic Alarm Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Alarm

Associated Types

type Rep Alarm :: Type -> Type #

Methods

from :: Alarm -> Rep Alarm x #

to :: Rep Alarm x -> Alarm #

Read Alarm Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Alarm

Methods

readsPrec :: Int -> ReadS Alarm #

readList :: ReadS [Alarm] #

readPrec :: ReadPrec Alarm #

readListPrec :: ReadPrec [Alarm] #

Show Alarm Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Alarm

Methods

showsPrec :: Int -> Alarm -> ShowS #

show :: Alarm -> String #

showList :: [Alarm] -> ShowS #

NFData Alarm Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Alarm

Methods

rnf :: Alarm -> () #

Eq Alarm Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Alarm

Methods

(==) :: Alarm -> Alarm -> Bool #

(/=) :: Alarm -> Alarm -> Bool #

Hashable Alarm Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Alarm

Methods

hashWithSalt :: Int -> Alarm -> Int #

hash :: Alarm -> Int #

type Rep Alarm Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Alarm

type Rep Alarm = D1 ('MetaData "Alarm" "Amazonka.SageMaker.Types.Alarm" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "Alarm'" 'PrefixI 'True) (S1 ('MetaSel ('Just "alarmName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))

newAlarm :: Alarm Source #

Create a value of Alarm with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:alarmName:Alarm', alarm_alarmName - The name of a CloudWatch alarm in your account.

alarm_alarmName :: Lens' Alarm (Maybe Text) Source #

The name of a CloudWatch alarm in your account.

AlgorithmSpecification

data AlgorithmSpecification Source #

Specifies the training algorithm to use in a CreateTrainingJob request.

For more information about algorithms provided by SageMaker, see Algorithms. For information about using your own algorithms, see Using Your Own Algorithms with Amazon SageMaker.

See: newAlgorithmSpecification smart constructor.

Constructors

AlgorithmSpecification' 

Fields

  • algorithmName :: Maybe Text

    The name of the algorithm resource to use for the training job. This must be an algorithm resource that you created or subscribe to on Amazon Web Services Marketplace.

    You must specify either the algorithm name to the AlgorithmName parameter or the image URI of the algorithm container to the TrainingImage parameter.

    Note that the AlgorithmName parameter is mutually exclusive with the TrainingImage parameter. If you specify a value for the AlgorithmName parameter, you can't specify a value for TrainingImage, and vice versa.

    If you specify values for both parameters, the training job might break; if you don't specify any value for both parameters, the training job might raise a null error.

  • containerArguments :: Maybe (NonEmpty Text)

    The arguments for a container used to run a training job. See How Amazon SageMaker Runs Your Training Image for additional information.

  • containerEntrypoint :: Maybe (NonEmpty Text)

    The entrypoint script for a Docker container used to run a training job. This script takes precedence over the default train processing instructions. See How Amazon SageMaker Runs Your Training Image for more information.

  • enableSageMakerMetricsTimeSeries :: Maybe Bool

    To generate and save time-series metrics during training, set to true. The default is false and time-series metrics aren't generated except in the following cases:

    • You use one of the SageMaker built-in algorithms

    • You use one of the following Prebuilt SageMaker Docker Images:

      • Tensorflow (version >= 1.15)
      • MXNet (version >= 1.6)
      • PyTorch (version >= 1.3)
    • You specify at least one MetricDefinition
  • metricDefinitions :: Maybe [MetricDefinition]

    A list of metric definition objects. Each object specifies the metric name and regular expressions used to parse algorithm logs. SageMaker publishes each metric to Amazon CloudWatch.

  • trainingImage :: Maybe Text

    The registry path of the Docker image that contains the training algorithm. For information about docker registry paths for SageMaker built-in algorithms, see Docker Registry Paths and Example Code in the Amazon SageMaker developer guide. SageMaker supports both registry/repository[:tag] and registry/repository[@digest] image path formats. For more information about using your custom training container, see Using Your Own Algorithms with Amazon SageMaker.

    You must specify either the algorithm name to the AlgorithmName parameter or the image URI of the algorithm container to the TrainingImage parameter.

    For more information, see the note in the AlgorithmName parameter description.

  • trainingInputMode :: TrainingInputMode
     

Instances

Instances details
FromJSON AlgorithmSpecification Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AlgorithmSpecification

Methods

parseJSON :: Value -> Parser AlgorithmSpecification #

parseJSONList :: Value -> Parser [AlgorithmSpecification] #

ToJSON AlgorithmSpecification Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AlgorithmSpecification

Methods

toJSON :: AlgorithmSpecification -> Value #

toEncoding :: AlgorithmSpecification -> Encoding #

toJSONList :: [AlgorithmSpecification] -> Value #

toEncodingList :: [AlgorithmSpecification] -> Encoding #

Generic AlgorithmSpecification Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AlgorithmSpecification

Associated Types

type Rep AlgorithmSpecification :: Type -> Type #

Methods

from :: AlgorithmSpecification -> Rep AlgorithmSpecification x #

to :: Rep AlgorithmSpecification x -> AlgorithmSpecification #

Read AlgorithmSpecification Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AlgorithmSpecification

Methods

readsPrec :: Int -> ReadS AlgorithmSpecification #

readList :: ReadS [AlgorithmSpecification] #

readPrec :: ReadPrec AlgorithmSpecification #

readListPrec :: ReadPrec [AlgorithmSpecification] #

Show AlgorithmSpecification Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AlgorithmSpecification

Methods

showsPrec :: Int -> AlgorithmSpecification -> ShowS #

show :: AlgorithmSpecification -> String #

showList :: [AlgorithmSpecification] -> ShowS #

NFData AlgorithmSpecification Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AlgorithmSpecification

Methods

rnf :: AlgorithmSpecification -> () #

Eq AlgorithmSpecification Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AlgorithmSpecification

Methods

(==) :: AlgorithmSpecification -> AlgorithmSpecification -> Bool #

(/=) :: AlgorithmSpecification -> AlgorithmSpecification -> Bool #

Hashable AlgorithmSpecification Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AlgorithmSpecification

Methods

hashWithSalt :: Int -> AlgorithmSpecification -> Int #

hash :: AlgorithmSpecification -> Int #

type Rep AlgorithmSpecification Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AlgorithmSpecification

type Rep AlgorithmSpecification = D1 ('MetaData "AlgorithmSpecification" "Amazonka.SageMaker.Types.AlgorithmSpecification" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "AlgorithmSpecification'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "algorithmName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: (S1 ('MetaSel ('Just "containerArguments") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe (NonEmpty Text))) :*: S1 ('MetaSel ('Just "containerEntrypoint") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe (NonEmpty Text))))) :*: ((S1 ('MetaSel ('Just "enableSageMakerMetricsTimeSeries") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Bool)) :*: S1 ('MetaSel ('Just "metricDefinitions") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [MetricDefinition]))) :*: (S1 ('MetaSel ('Just "trainingImage") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "trainingInputMode") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 TrainingInputMode)))))

newAlgorithmSpecification Source #

Arguments

:: TrainingInputMode

$sel:trainingInputMode:AlgorithmSpecification'

-> AlgorithmSpecification 

Create a value of AlgorithmSpecification with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:algorithmName:AlgorithmSpecification', algorithmSpecification_algorithmName - The name of the algorithm resource to use for the training job. This must be an algorithm resource that you created or subscribe to on Amazon Web Services Marketplace.

You must specify either the algorithm name to the AlgorithmName parameter or the image URI of the algorithm container to the TrainingImage parameter.

Note that the AlgorithmName parameter is mutually exclusive with the TrainingImage parameter. If you specify a value for the AlgorithmName parameter, you can't specify a value for TrainingImage, and vice versa.

If you specify values for both parameters, the training job might break; if you don't specify any value for both parameters, the training job might raise a null error.

$sel:containerArguments:AlgorithmSpecification', algorithmSpecification_containerArguments - The arguments for a container used to run a training job. See How Amazon SageMaker Runs Your Training Image for additional information.

$sel:containerEntrypoint:AlgorithmSpecification', algorithmSpecification_containerEntrypoint - The entrypoint script for a Docker container used to run a training job. This script takes precedence over the default train processing instructions. See How Amazon SageMaker Runs Your Training Image for more information.

$sel:enableSageMakerMetricsTimeSeries:AlgorithmSpecification', algorithmSpecification_enableSageMakerMetricsTimeSeries - To generate and save time-series metrics during training, set to true. The default is false and time-series metrics aren't generated except in the following cases:

  • You use one of the SageMaker built-in algorithms

  • You use one of the following Prebuilt SageMaker Docker Images:

    • Tensorflow (version >= 1.15)
    • MXNet (version >= 1.6)
    • PyTorch (version >= 1.3)
  • You specify at least one MetricDefinition

$sel:metricDefinitions:AlgorithmSpecification', algorithmSpecification_metricDefinitions - A list of metric definition objects. Each object specifies the metric name and regular expressions used to parse algorithm logs. SageMaker publishes each metric to Amazon CloudWatch.

$sel:trainingImage:AlgorithmSpecification', algorithmSpecification_trainingImage - The registry path of the Docker image that contains the training algorithm. For information about docker registry paths for SageMaker built-in algorithms, see Docker Registry Paths and Example Code in the Amazon SageMaker developer guide. SageMaker supports both registry/repository[:tag] and registry/repository[@digest] image path formats. For more information about using your custom training container, see Using Your Own Algorithms with Amazon SageMaker.

You must specify either the algorithm name to the AlgorithmName parameter or the image URI of the algorithm container to the TrainingImage parameter.

For more information, see the note in the AlgorithmName parameter description.

$sel:trainingInputMode:AlgorithmSpecification', algorithmSpecification_trainingInputMode - Undocumented member.

algorithmSpecification_algorithmName :: Lens' AlgorithmSpecification (Maybe Text) Source #

The name of the algorithm resource to use for the training job. This must be an algorithm resource that you created or subscribe to on Amazon Web Services Marketplace.

You must specify either the algorithm name to the AlgorithmName parameter or the image URI of the algorithm container to the TrainingImage parameter.

Note that the AlgorithmName parameter is mutually exclusive with the TrainingImage parameter. If you specify a value for the AlgorithmName parameter, you can't specify a value for TrainingImage, and vice versa.

If you specify values for both parameters, the training job might break; if you don't specify any value for both parameters, the training job might raise a null error.

algorithmSpecification_containerArguments :: Lens' AlgorithmSpecification (Maybe (NonEmpty Text)) Source #

The arguments for a container used to run a training job. See How Amazon SageMaker Runs Your Training Image for additional information.

algorithmSpecification_containerEntrypoint :: Lens' AlgorithmSpecification (Maybe (NonEmpty Text)) Source #

The entrypoint script for a Docker container used to run a training job. This script takes precedence over the default train processing instructions. See How Amazon SageMaker Runs Your Training Image for more information.

algorithmSpecification_enableSageMakerMetricsTimeSeries :: Lens' AlgorithmSpecification (Maybe Bool) Source #

To generate and save time-series metrics during training, set to true. The default is false and time-series metrics aren't generated except in the following cases:

  • You use one of the SageMaker built-in algorithms

  • You use one of the following Prebuilt SageMaker Docker Images:

    • Tensorflow (version >= 1.15)
    • MXNet (version >= 1.6)
    • PyTorch (version >= 1.3)
  • You specify at least one MetricDefinition

algorithmSpecification_metricDefinitions :: Lens' AlgorithmSpecification (Maybe [MetricDefinition]) Source #

A list of metric definition objects. Each object specifies the metric name and regular expressions used to parse algorithm logs. SageMaker publishes each metric to Amazon CloudWatch.

algorithmSpecification_trainingImage :: Lens' AlgorithmSpecification (Maybe Text) Source #

The registry path of the Docker image that contains the training algorithm. For information about docker registry paths for SageMaker built-in algorithms, see Docker Registry Paths and Example Code in the Amazon SageMaker developer guide. SageMaker supports both registry/repository[:tag] and registry/repository[@digest] image path formats. For more information about using your custom training container, see Using Your Own Algorithms with Amazon SageMaker.

You must specify either the algorithm name to the AlgorithmName parameter or the image URI of the algorithm container to the TrainingImage parameter.

For more information, see the note in the AlgorithmName parameter description.

algorithmSpecification_trainingInputMode :: Lens' AlgorithmSpecification TrainingInputMode Source #

Undocumented member.

AlgorithmStatusDetails

data AlgorithmStatusDetails Source #

Specifies the validation and image scan statuses of the algorithm.

See: newAlgorithmStatusDetails smart constructor.

Constructors

AlgorithmStatusDetails' 

Fields

Instances

Instances details
FromJSON AlgorithmStatusDetails Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AlgorithmStatusDetails

Methods

parseJSON :: Value -> Parser AlgorithmStatusDetails #

parseJSONList :: Value -> Parser [AlgorithmStatusDetails] #

Generic AlgorithmStatusDetails Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AlgorithmStatusDetails

Associated Types

type Rep AlgorithmStatusDetails :: Type -> Type #

Methods

from :: AlgorithmStatusDetails -> Rep AlgorithmStatusDetails x #

to :: Rep AlgorithmStatusDetails x -> AlgorithmStatusDetails #

Read AlgorithmStatusDetails Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AlgorithmStatusDetails

Methods

readsPrec :: Int -> ReadS AlgorithmStatusDetails #

readList :: ReadS [AlgorithmStatusDetails] #

readPrec :: ReadPrec AlgorithmStatusDetails #

readListPrec :: ReadPrec [AlgorithmStatusDetails] #

Show AlgorithmStatusDetails Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AlgorithmStatusDetails

Methods

showsPrec :: Int -> AlgorithmStatusDetails -> ShowS #

show :: AlgorithmStatusDetails -> String #

showList :: [AlgorithmStatusDetails] -> ShowS #

NFData AlgorithmStatusDetails Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AlgorithmStatusDetails

Methods

rnf :: AlgorithmStatusDetails -> () #

Eq AlgorithmStatusDetails Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AlgorithmStatusDetails

Methods

(==) :: AlgorithmStatusDetails -> AlgorithmStatusDetails -> Bool #

(/=) :: AlgorithmStatusDetails -> AlgorithmStatusDetails -> Bool #

Hashable AlgorithmStatusDetails Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AlgorithmStatusDetails

Methods

hashWithSalt :: Int -> AlgorithmStatusDetails -> Int #

hash :: AlgorithmStatusDetails -> Int #

type Rep AlgorithmStatusDetails Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AlgorithmStatusDetails

type Rep AlgorithmStatusDetails = D1 ('MetaData "AlgorithmStatusDetails" "Amazonka.SageMaker.Types.AlgorithmStatusDetails" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "AlgorithmStatusDetails'" 'PrefixI 'True) (S1 ('MetaSel ('Just "imageScanStatuses") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [AlgorithmStatusItem])) :*: S1 ('MetaSel ('Just "validationStatuses") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [AlgorithmStatusItem]))))

newAlgorithmStatusDetails :: AlgorithmStatusDetails Source #

Create a value of AlgorithmStatusDetails with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:imageScanStatuses:AlgorithmStatusDetails', algorithmStatusDetails_imageScanStatuses - The status of the scan of the algorithm's Docker image container.

$sel:validationStatuses:AlgorithmStatusDetails', algorithmStatusDetails_validationStatuses - The status of algorithm validation.

algorithmStatusDetails_imageScanStatuses :: Lens' AlgorithmStatusDetails (Maybe [AlgorithmStatusItem]) Source #

The status of the scan of the algorithm's Docker image container.

algorithmStatusDetails_validationStatuses :: Lens' AlgorithmStatusDetails (Maybe [AlgorithmStatusItem]) Source #

The status of algorithm validation.

AlgorithmStatusItem

data AlgorithmStatusItem Source #

Represents the overall status of an algorithm.

See: newAlgorithmStatusItem smart constructor.

Constructors

AlgorithmStatusItem' 

Fields

Instances

Instances details
FromJSON AlgorithmStatusItem Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AlgorithmStatusItem

Methods

parseJSON :: Value -> Parser AlgorithmStatusItem #

parseJSONList :: Value -> Parser [AlgorithmStatusItem] #

Generic AlgorithmStatusItem Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AlgorithmStatusItem

Associated Types

type Rep AlgorithmStatusItem :: Type -> Type #

Methods

from :: AlgorithmStatusItem -> Rep AlgorithmStatusItem x #

to :: Rep AlgorithmStatusItem x -> AlgorithmStatusItem #

Read AlgorithmStatusItem Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AlgorithmStatusItem

Methods

readsPrec :: Int -> ReadS AlgorithmStatusItem #

readList :: ReadS [AlgorithmStatusItem] #

readPrec :: ReadPrec AlgorithmStatusItem #

readListPrec :: ReadPrec [AlgorithmStatusItem] #

Show AlgorithmStatusItem Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AlgorithmStatusItem

Methods

showsPrec :: Int -> AlgorithmStatusItem -> ShowS #

show :: AlgorithmStatusItem -> String #

showList :: [AlgorithmStatusItem] -> ShowS #

NFData AlgorithmStatusItem Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AlgorithmStatusItem

Methods

rnf :: AlgorithmStatusItem -> () #

Eq AlgorithmStatusItem Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AlgorithmStatusItem

Methods

(==) :: AlgorithmStatusItem -> AlgorithmStatusItem -> Bool #

(/=) :: AlgorithmStatusItem -> AlgorithmStatusItem -> Bool #

Hashable AlgorithmStatusItem Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AlgorithmStatusItem

Methods

hashWithSalt :: Int -> AlgorithmStatusItem -> Int #

hash :: AlgorithmStatusItem -> Int #

type Rep AlgorithmStatusItem Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AlgorithmStatusItem

type Rep AlgorithmStatusItem = D1 ('MetaData "AlgorithmStatusItem" "Amazonka.SageMaker.Types.AlgorithmStatusItem" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "AlgorithmStatusItem'" 'PrefixI 'True) (S1 ('MetaSel ('Just "failureReason") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: (S1 ('MetaSel ('Just "name") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: S1 ('MetaSel ('Just "status") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 DetailedAlgorithmStatus))))

newAlgorithmStatusItem Source #

Arguments

:: Text

$sel:name:AlgorithmStatusItem'

-> DetailedAlgorithmStatus

$sel:status:AlgorithmStatusItem'

-> AlgorithmStatusItem 

Create a value of AlgorithmStatusItem with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:failureReason:AlgorithmStatusItem', algorithmStatusItem_failureReason - if the overall status is Failed, the reason for the failure.

$sel:name:AlgorithmStatusItem', algorithmStatusItem_name - The name of the algorithm for which the overall status is being reported.

$sel:status:AlgorithmStatusItem', algorithmStatusItem_status - The current status.

algorithmStatusItem_failureReason :: Lens' AlgorithmStatusItem (Maybe Text) Source #

if the overall status is Failed, the reason for the failure.

algorithmStatusItem_name :: Lens' AlgorithmStatusItem Text Source #

The name of the algorithm for which the overall status is being reported.

algorithmStatusItem_status :: Lens' AlgorithmStatusItem DetailedAlgorithmStatus Source #

The current status.

AlgorithmSummary

data AlgorithmSummary Source #

Provides summary information about an algorithm.

See: newAlgorithmSummary smart constructor.

Constructors

AlgorithmSummary' 

Fields

Instances

Instances details
FromJSON AlgorithmSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AlgorithmSummary

Methods

parseJSON :: Value -> Parser AlgorithmSummary #

parseJSONList :: Value -> Parser [AlgorithmSummary] #

Generic AlgorithmSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AlgorithmSummary

Associated Types

type Rep AlgorithmSummary :: Type -> Type #

Methods

from :: AlgorithmSummary -> Rep AlgorithmSummary x #

to :: Rep AlgorithmSummary x -> AlgorithmSummary #

Read AlgorithmSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AlgorithmSummary

Methods

readsPrec :: Int -> ReadS AlgorithmSummary #

readList :: ReadS [AlgorithmSummary] #

readPrec :: ReadPrec AlgorithmSummary #

readListPrec :: ReadPrec [AlgorithmSummary] #

Show AlgorithmSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AlgorithmSummary

Methods

showsPrec :: Int -> AlgorithmSummary -> ShowS #

show :: AlgorithmSummary -> String #

showList :: [AlgorithmSummary] -> ShowS #

NFData AlgorithmSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AlgorithmSummary

Methods

rnf :: AlgorithmSummary -> () #

Eq AlgorithmSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AlgorithmSummary

Methods

(==) :: AlgorithmSummary -> AlgorithmSummary -> Bool #

(/=) :: AlgorithmSummary -> AlgorithmSummary -> Bool #

Hashable AlgorithmSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AlgorithmSummary

Methods

hashWithSalt :: Int -> AlgorithmSummary -> Int #

hash :: AlgorithmSummary -> Int #

type Rep AlgorithmSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AlgorithmSummary

type Rep AlgorithmSummary = D1 ('MetaData "AlgorithmSummary" "Amazonka.SageMaker.Types.AlgorithmSummary" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "AlgorithmSummary'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "algorithmDescription") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "algorithmName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)) :*: (S1 ('MetaSel ('Just "algorithmArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: (S1 ('MetaSel ('Just "creationTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 POSIX) :*: S1 ('MetaSel ('Just "algorithmStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 AlgorithmStatus)))))

newAlgorithmSummary Source #

Arguments

:: Text

$sel:algorithmName:AlgorithmSummary'

-> Text

$sel:algorithmArn:AlgorithmSummary'

-> UTCTime

$sel:creationTime:AlgorithmSummary'

-> AlgorithmStatus

$sel:algorithmStatus:AlgorithmSummary'

-> AlgorithmSummary 

Create a value of AlgorithmSummary with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:algorithmDescription:AlgorithmSummary', algorithmSummary_algorithmDescription - A brief description of the algorithm.

$sel:algorithmName:AlgorithmSummary', algorithmSummary_algorithmName - The name of the algorithm that is described by the summary.

$sel:algorithmArn:AlgorithmSummary', algorithmSummary_algorithmArn - The Amazon Resource Name (ARN) of the algorithm.

$sel:creationTime:AlgorithmSummary', algorithmSummary_creationTime - A timestamp that shows when the algorithm was created.

$sel:algorithmStatus:AlgorithmSummary', algorithmSummary_algorithmStatus - The overall status of the algorithm.

algorithmSummary_algorithmDescription :: Lens' AlgorithmSummary (Maybe Text) Source #

A brief description of the algorithm.

algorithmSummary_algorithmName :: Lens' AlgorithmSummary Text Source #

The name of the algorithm that is described by the summary.

algorithmSummary_algorithmArn :: Lens' AlgorithmSummary Text Source #

The Amazon Resource Name (ARN) of the algorithm.

algorithmSummary_creationTime :: Lens' AlgorithmSummary UTCTime Source #

A timestamp that shows when the algorithm was created.

algorithmSummary_algorithmStatus :: Lens' AlgorithmSummary AlgorithmStatus Source #

The overall status of the algorithm.

AlgorithmValidationProfile

data AlgorithmValidationProfile Source #

Defines a training job and a batch transform job that SageMaker runs to validate your algorithm.

The data provided in the validation profile is made available to your buyers on Amazon Web Services Marketplace.

See: newAlgorithmValidationProfile smart constructor.

Constructors

AlgorithmValidationProfile' 

Fields

Instances

Instances details
FromJSON AlgorithmValidationProfile Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AlgorithmValidationProfile

Methods

parseJSON :: Value -> Parser AlgorithmValidationProfile #

parseJSONList :: Value -> Parser [AlgorithmValidationProfile] #

ToJSON AlgorithmValidationProfile Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AlgorithmValidationProfile

Methods

toJSON :: AlgorithmValidationProfile -> Value #

toEncoding :: AlgorithmValidationProfile -> Encoding #

toJSONList :: [AlgorithmValidationProfile] -> Value #

toEncodingList :: [AlgorithmValidationProfile] -> Encoding #

Generic AlgorithmValidationProfile Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AlgorithmValidationProfile

Associated Types

type Rep AlgorithmValidationProfile :: Type -> Type #

Methods

from :: AlgorithmValidationProfile -> Rep AlgorithmValidationProfile x #

to :: Rep AlgorithmValidationProfile x -> AlgorithmValidationProfile #

Read AlgorithmValidationProfile Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AlgorithmValidationProfile

Methods

readsPrec :: Int -> ReadS AlgorithmValidationProfile #

readList :: ReadS [AlgorithmValidationProfile] #

readPrec :: ReadPrec AlgorithmValidationProfile #

readListPrec :: ReadPrec [AlgorithmValidationProfile] #

Show AlgorithmValidationProfile Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AlgorithmValidationProfile

Methods

showsPrec :: Int -> AlgorithmValidationProfile -> ShowS #

show :: AlgorithmValidationProfile -> String #

showList :: [AlgorithmValidationProfile] -> ShowS #

NFData AlgorithmValidationProfile Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AlgorithmValidationProfile

Methods

rnf :: AlgorithmValidationProfile -> () #

Eq AlgorithmValidationProfile Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AlgorithmValidationProfile

Methods

(==) :: AlgorithmValidationProfile -> AlgorithmValidationProfile -> Bool #

(/=) :: AlgorithmValidationProfile -> AlgorithmValidationProfile -> Bool #

Hashable AlgorithmValidationProfile Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AlgorithmValidationProfile

Methods

hashWithSalt :: Int -> AlgorithmValidationProfile -> Int #

hash :: AlgorithmValidationProfile -> Int #

type Rep AlgorithmValidationProfile Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AlgorithmValidationProfile

type Rep AlgorithmValidationProfile = D1 ('MetaData "AlgorithmValidationProfile" "Amazonka.SageMaker.Types.AlgorithmValidationProfile" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "AlgorithmValidationProfile'" 'PrefixI 'True) (S1 ('MetaSel ('Just "transformJobDefinition") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe TransformJobDefinition)) :*: (S1 ('MetaSel ('Just "profileName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: S1 ('MetaSel ('Just "trainingJobDefinition") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 TrainingJobDefinition))))

newAlgorithmValidationProfile Source #

Arguments

:: Text

$sel:profileName:AlgorithmValidationProfile'

-> TrainingJobDefinition

$sel:trainingJobDefinition:AlgorithmValidationProfile'

-> AlgorithmValidationProfile 

Create a value of AlgorithmValidationProfile with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:transformJobDefinition:AlgorithmValidationProfile', algorithmValidationProfile_transformJobDefinition - The TransformJobDefinition object that describes the transform job that SageMaker runs to validate your algorithm.

$sel:profileName:AlgorithmValidationProfile', algorithmValidationProfile_profileName - The name of the profile for the algorithm. The name must have 1 to 63 characters. Valid characters are a-z, A-Z, 0-9, and - (hyphen).

$sel:trainingJobDefinition:AlgorithmValidationProfile', algorithmValidationProfile_trainingJobDefinition - The TrainingJobDefinition object that describes the training job that SageMaker runs to validate your algorithm.

algorithmValidationProfile_transformJobDefinition :: Lens' AlgorithmValidationProfile (Maybe TransformJobDefinition) Source #

The TransformJobDefinition object that describes the transform job that SageMaker runs to validate your algorithm.

algorithmValidationProfile_profileName :: Lens' AlgorithmValidationProfile Text Source #

The name of the profile for the algorithm. The name must have 1 to 63 characters. Valid characters are a-z, A-Z, 0-9, and - (hyphen).

algorithmValidationProfile_trainingJobDefinition :: Lens' AlgorithmValidationProfile TrainingJobDefinition Source #

The TrainingJobDefinition object that describes the training job that SageMaker runs to validate your algorithm.

AlgorithmValidationSpecification

data AlgorithmValidationSpecification Source #

Specifies configurations for one or more training jobs that SageMaker runs to test the algorithm.

See: newAlgorithmValidationSpecification smart constructor.

Constructors

AlgorithmValidationSpecification' 

Fields

Instances

Instances details
FromJSON AlgorithmValidationSpecification Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AlgorithmValidationSpecification

Methods

parseJSON :: Value -> Parser AlgorithmValidationSpecification #

parseJSONList :: Value -> Parser [AlgorithmValidationSpecification] #

ToJSON AlgorithmValidationSpecification Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AlgorithmValidationSpecification

Methods

toJSON :: AlgorithmValidationSpecification -> Value #

toEncoding :: AlgorithmValidationSpecification -> Encoding #

toJSONList :: [AlgorithmValidationSpecification] -> Value #

toEncodingList :: [AlgorithmValidationSpecification] -> Encoding #

Generic AlgorithmValidationSpecification Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AlgorithmValidationSpecification

Associated Types

type Rep AlgorithmValidationSpecification :: Type -> Type #

Methods

from :: AlgorithmValidationSpecification -> Rep AlgorithmValidationSpecification x #

to :: Rep AlgorithmValidationSpecification x -> AlgorithmValidationSpecification #

Read AlgorithmValidationSpecification Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AlgorithmValidationSpecification

Methods

readsPrec :: Int -> ReadS AlgorithmValidationSpecification #

readList :: ReadS [AlgorithmValidationSpecification] #

readPrec :: ReadPrec AlgorithmValidationSpecification #

readListPrec :: ReadPrec [AlgorithmValidationSpecification] #

Show AlgorithmValidationSpecification Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AlgorithmValidationSpecification

Methods

showsPrec :: Int -> AlgorithmValidationSpecification -> ShowS #

show :: AlgorithmValidationSpecification -> String #

showList :: [AlgorithmValidationSpecification] -> ShowS #

NFData AlgorithmValidationSpecification Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AlgorithmValidationSpecification

Methods

rnf :: AlgorithmValidationSpecification -> () #

Eq AlgorithmValidationSpecification Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AlgorithmValidationSpecification

Methods

(==) :: AlgorithmValidationSpecification -> AlgorithmValidationSpecification -> Bool #

(/=) :: AlgorithmValidationSpecification -> AlgorithmValidationSpecification -> Bool #

Hashable AlgorithmValidationSpecification Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AlgorithmValidationSpecification

Methods

hashWithSalt :: Int -> AlgorithmValidationSpecification -> Int #

hash :: AlgorithmValidationSpecification -> Int #

type Rep AlgorithmValidationSpecification Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AlgorithmValidationSpecification

type Rep AlgorithmValidationSpecification = D1 ('MetaData "AlgorithmValidationSpecification" "Amazonka.SageMaker.Types.AlgorithmValidationSpecification" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "AlgorithmValidationSpecification'" 'PrefixI 'True) (S1 ('MetaSel ('Just "validationRole") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: S1 ('MetaSel ('Just "validationProfiles") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (NonEmpty AlgorithmValidationProfile))))

newAlgorithmValidationSpecification Source #

Arguments

:: Text

$sel:validationRole:AlgorithmValidationSpecification'

-> NonEmpty AlgorithmValidationProfile

$sel:validationProfiles:AlgorithmValidationSpecification'

-> AlgorithmValidationSpecification 

Create a value of AlgorithmValidationSpecification with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:validationRole:AlgorithmValidationSpecification', algorithmValidationSpecification_validationRole - The IAM roles that SageMaker uses to run the training jobs.

$sel:validationProfiles:AlgorithmValidationSpecification', algorithmValidationSpecification_validationProfiles - An array of AlgorithmValidationProfile objects, each of which specifies a training job and batch transform job that SageMaker runs to validate your algorithm.

algorithmValidationSpecification_validationRole :: Lens' AlgorithmValidationSpecification Text Source #

The IAM roles that SageMaker uses to run the training jobs.

algorithmValidationSpecification_validationProfiles :: Lens' AlgorithmValidationSpecification (NonEmpty AlgorithmValidationProfile) Source #

An array of AlgorithmValidationProfile objects, each of which specifies a training job and batch transform job that SageMaker runs to validate your algorithm.

AnnotationConsolidationConfig

data AnnotationConsolidationConfig Source #

Configures how labels are consolidated across human workers and processes output data.

See: newAnnotationConsolidationConfig smart constructor.

Constructors

AnnotationConsolidationConfig' 

Fields

  • annotationConsolidationLambdaArn :: Text

    The Amazon Resource Name (ARN) of a Lambda function implements the logic for annotation consolidation and to process output data.

    This parameter is required for all labeling jobs. For built-in task types, use one of the following Amazon SageMaker Ground Truth Lambda function ARNs for AnnotationConsolidationLambdaArn. For custom labeling workflows, see Post-annotation Lambda.

    Bounding box - Finds the most similar boxes from different workers based on the Jaccard index of the boxes.

    • arn:aws:lambda:us-east-1:432418664414:function:ACS-BoundingBox
    • arn:aws:lambda:us-east-2:266458841044:function:ACS-BoundingBox
    • arn:aws:lambda:us-west-2:081040173940:function:ACS-BoundingBox
    • arn:aws:lambda:eu-west-1:568282634449:function:ACS-BoundingBox
    • arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-BoundingBox
    • arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-BoundingBox
    • arn:aws:lambda:ap-south-1:565803892007:function:ACS-BoundingBox
    • arn:aws:lambda:eu-central-1:203001061592:function:ACS-BoundingBox
    • arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-BoundingBox
    • arn:aws:lambda:eu-west-2:487402164563:function:ACS-BoundingBox
    • arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-BoundingBox
    • arn:aws:lambda:ca-central-1:918755190332:function:ACS-BoundingBox

    Image classification - Uses a variant of the Expectation Maximization approach to estimate the true class of an image based on annotations from individual workers.

    • arn:aws:lambda:us-east-1:432418664414:function:ACS-ImageMultiClass
    • arn:aws:lambda:us-east-2:266458841044:function:ACS-ImageMultiClass
    • arn:aws:lambda:us-west-2:081040173940:function:ACS-ImageMultiClass
    • arn:aws:lambda:eu-west-1:568282634449:function:ACS-ImageMultiClass
    • arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-ImageMultiClass
    • arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-ImageMultiClass
    • arn:aws:lambda:ap-south-1:565803892007:function:ACS-ImageMultiClass
    • arn:aws:lambda:eu-central-1:203001061592:function:ACS-ImageMultiClass
    • arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-ImageMultiClass
    • arn:aws:lambda:eu-west-2:487402164563:function:ACS-ImageMultiClass
    • arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-ImageMultiClass
    • arn:aws:lambda:ca-central-1:918755190332:function:ACS-ImageMultiClass

    Multi-label image classification - Uses a variant of the Expectation Maximization approach to estimate the true classes of an image based on annotations from individual workers.

    • arn:aws:lambda:us-east-1:432418664414:function:ACS-ImageMultiClassMultiLabel
    • arn:aws:lambda:us-east-2:266458841044:function:ACS-ImageMultiClassMultiLabel
    • arn:aws:lambda:us-west-2:081040173940:function:ACS-ImageMultiClassMultiLabel
    • arn:aws:lambda:eu-west-1:568282634449:function:ACS-ImageMultiClassMultiLabel
    • arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-ImageMultiClassMultiLabel
    • arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-ImageMultiClassMultiLabel
    • arn:aws:lambda:ap-south-1:565803892007:function:ACS-ImageMultiClassMultiLabel
    • arn:aws:lambda:eu-central-1:203001061592:function:ACS-ImageMultiClassMultiLabel
    • arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-ImageMultiClassMultiLabel
    • arn:aws:lambda:eu-west-2:487402164563:function:ACS-ImageMultiClassMultiLabel
    • arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-ImageMultiClassMultiLabel
    • arn:aws:lambda:ca-central-1:918755190332:function:ACS-ImageMultiClassMultiLabel

    Semantic segmentation - Treats each pixel in an image as a multi-class classification and treats pixel annotations from workers as "votes" for the correct label.

    • arn:aws:lambda:us-east-1:432418664414:function:ACS-SemanticSegmentation
    • arn:aws:lambda:us-east-2:266458841044:function:ACS-SemanticSegmentation
    • arn:aws:lambda:us-west-2:081040173940:function:ACS-SemanticSegmentation
    • arn:aws:lambda:eu-west-1:568282634449:function:ACS-SemanticSegmentation
    • arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-SemanticSegmentation
    • arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-SemanticSegmentation
    • arn:aws:lambda:ap-south-1:565803892007:function:ACS-SemanticSegmentation
    • arn:aws:lambda:eu-central-1:203001061592:function:ACS-SemanticSegmentation
    • arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-SemanticSegmentation
    • arn:aws:lambda:eu-west-2:487402164563:function:ACS-SemanticSegmentation
    • arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-SemanticSegmentation
    • arn:aws:lambda:ca-central-1:918755190332:function:ACS-SemanticSegmentation

    Text classification - Uses a variant of the Expectation Maximization approach to estimate the true class of text based on annotations from individual workers.

    • arn:aws:lambda:us-east-1:432418664414:function:ACS-TextMultiClass
    • arn:aws:lambda:us-east-2:266458841044:function:ACS-TextMultiClass
    • arn:aws:lambda:us-west-2:081040173940:function:ACS-TextMultiClass
    • arn:aws:lambda:eu-west-1:568282634449:function:ACS-TextMultiClass
    • arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-TextMultiClass
    • arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-TextMultiClass
    • arn:aws:lambda:ap-south-1:565803892007:function:ACS-TextMultiClass
    • arn:aws:lambda:eu-central-1:203001061592:function:ACS-TextMultiClass
    • arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-TextMultiClass
    • arn:aws:lambda:eu-west-2:487402164563:function:ACS-TextMultiClass
    • arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-TextMultiClass
    • arn:aws:lambda:ca-central-1:918755190332:function:ACS-TextMultiClass

    Multi-label text classification - Uses a variant of the Expectation Maximization approach to estimate the true classes of text based on annotations from individual workers.

    • arn:aws:lambda:us-east-1:432418664414:function:ACS-TextMultiClassMultiLabel
    • arn:aws:lambda:us-east-2:266458841044:function:ACS-TextMultiClassMultiLabel
    • arn:aws:lambda:us-west-2:081040173940:function:ACS-TextMultiClassMultiLabel
    • arn:aws:lambda:eu-west-1:568282634449:function:ACS-TextMultiClassMultiLabel
    • arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-TextMultiClassMultiLabel
    • arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-TextMultiClassMultiLabel
    • arn:aws:lambda:ap-south-1:565803892007:function:ACS-TextMultiClassMultiLabel
    • arn:aws:lambda:eu-central-1:203001061592:function:ACS-TextMultiClassMultiLabel
    • arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-TextMultiClassMultiLabel
    • arn:aws:lambda:eu-west-2:487402164563:function:ACS-TextMultiClassMultiLabel
    • arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-TextMultiClassMultiLabel
    • arn:aws:lambda:ca-central-1:918755190332:function:ACS-TextMultiClassMultiLabel

    Named entity recognition - Groups similar selections and calculates aggregate boundaries, resolving to most-assigned label.

    • arn:aws:lambda:us-east-1:432418664414:function:ACS-NamedEntityRecognition
    • arn:aws:lambda:us-east-2:266458841044:function:ACS-NamedEntityRecognition
    • arn:aws:lambda:us-west-2:081040173940:function:ACS-NamedEntityRecognition
    • arn:aws:lambda:eu-west-1:568282634449:function:ACS-NamedEntityRecognition
    • arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-NamedEntityRecognition
    • arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-NamedEntityRecognition
    • arn:aws:lambda:ap-south-1:565803892007:function:ACS-NamedEntityRecognition
    • arn:aws:lambda:eu-central-1:203001061592:function:ACS-NamedEntityRecognition
    • arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-NamedEntityRecognition
    • arn:aws:lambda:eu-west-2:487402164563:function:ACS-NamedEntityRecognition
    • arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-NamedEntityRecognition
    • arn:aws:lambda:ca-central-1:918755190332:function:ACS-NamedEntityRecognition

    Video Classification - Use this task type when you need workers to classify videos using predefined labels that you specify. Workers are shown videos and are asked to choose one label for each video.

    • arn:aws:lambda:us-east-1:432418664414:function:ACS-VideoMultiClass
    • arn:aws:lambda:us-east-2:266458841044:function:ACS-VideoMultiClass
    • arn:aws:lambda:us-west-2:081040173940:function:ACS-VideoMultiClass
    • arn:aws:lambda:eu-west-1:568282634449:function:ACS-VideoMultiClass
    • arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-VideoMultiClass
    • arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-VideoMultiClass
    • arn:aws:lambda:ap-south-1:565803892007:function:ACS-VideoMultiClass
    • arn:aws:lambda:eu-central-1:203001061592:function:ACS-VideoMultiClass
    • arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-VideoMultiClass
    • arn:aws:lambda:eu-west-2:487402164563:function:ACS-VideoMultiClass
    • arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-VideoMultiClass
    • arn:aws:lambda:ca-central-1:918755190332:function:ACS-VideoMultiClass

    Video Frame Object Detection - Use this task type to have workers identify and locate objects in a sequence of video frames (images extracted from a video) using bounding boxes. For example, you can use this task to ask workers to identify and localize various objects in a series of video frames, such as cars, bikes, and pedestrians.

    • arn:aws:lambda:us-east-1:432418664414:function:ACS-VideoObjectDetection
    • arn:aws:lambda:us-east-2:266458841044:function:ACS-VideoObjectDetection
    • arn:aws:lambda:us-west-2:081040173940:function:ACS-VideoObjectDetection
    • arn:aws:lambda:eu-west-1:568282634449:function:ACS-VideoObjectDetection
    • arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-VideoObjectDetection
    • arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-VideoObjectDetection
    • arn:aws:lambda:ap-south-1:565803892007:function:ACS-VideoObjectDetection
    • arn:aws:lambda:eu-central-1:203001061592:function:ACS-VideoObjectDetection
    • arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-VideoObjectDetection
    • arn:aws:lambda:eu-west-2:487402164563:function:ACS-VideoObjectDetection
    • arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-VideoObjectDetection
    • arn:aws:lambda:ca-central-1:918755190332:function:ACS-VideoObjectDetection

    Video Frame Object Tracking - Use this task type to have workers track the movement of objects in a sequence of video frames (images extracted from a video) using bounding boxes. For example, you can use this task to ask workers to track the movement of objects, such as cars, bikes, and pedestrians.

    • arn:aws:lambda:us-east-1:432418664414:function:ACS-VideoObjectTracking
    • arn:aws:lambda:us-east-2:266458841044:function:ACS-VideoObjectTracking
    • arn:aws:lambda:us-west-2:081040173940:function:ACS-VideoObjectTracking
    • arn:aws:lambda:eu-west-1:568282634449:function:ACS-VideoObjectTracking
    • arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-VideoObjectTracking
    • arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-VideoObjectTracking
    • arn:aws:lambda:ap-south-1:565803892007:function:ACS-VideoObjectTracking
    • arn:aws:lambda:eu-central-1:203001061592:function:ACS-VideoObjectTracking
    • arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-VideoObjectTracking
    • arn:aws:lambda:eu-west-2:487402164563:function:ACS-VideoObjectTracking
    • arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-VideoObjectTracking
    • arn:aws:lambda:ca-central-1:918755190332:function:ACS-VideoObjectTracking

    3D Point Cloud Object Detection - Use this task type when you want workers to classify objects in a 3D point cloud by drawing 3D cuboids around objects. For example, you can use this task type to ask workers to identify different types of objects in a point cloud, such as cars, bikes, and pedestrians.

    • arn:aws:lambda:us-east-1:432418664414:function:ACS-3DPointCloudObjectDetection
    • arn:aws:lambda:us-east-2:266458841044:function:ACS-3DPointCloudObjectDetection
    • arn:aws:lambda:us-west-2:081040173940:function:ACS-3DPointCloudObjectDetection
    • arn:aws:lambda:eu-west-1:568282634449:function:ACS-3DPointCloudObjectDetection
    • arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-3DPointCloudObjectDetection
    • arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-3DPointCloudObjectDetection
    • arn:aws:lambda:ap-south-1:565803892007:function:ACS-3DPointCloudObjectDetection
    • arn:aws:lambda:eu-central-1:203001061592:function:ACS-3DPointCloudObjectDetection
    • arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-3DPointCloudObjectDetection
    • arn:aws:lambda:eu-west-2:487402164563:function:ACS-3DPointCloudObjectDetection
    • arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-3DPointCloudObjectDetection
    • arn:aws:lambda:ca-central-1:918755190332:function:ACS-3DPointCloudObjectDetection

    3D Point Cloud Object Tracking - Use this task type when you want workers to draw 3D cuboids around objects that appear in a sequence of 3D point cloud frames. For example, you can use this task type to ask workers to track the movement of vehicles across multiple point cloud frames.

    • arn:aws:lambda:us-east-1:432418664414:function:ACS-3DPointCloudObjectTracking
    • arn:aws:lambda:us-east-2:266458841044:function:ACS-3DPointCloudObjectTracking
    • arn:aws:lambda:us-west-2:081040173940:function:ACS-3DPointCloudObjectTracking
    • arn:aws:lambda:eu-west-1:568282634449:function:ACS-3DPointCloudObjectTracking
    • arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-3DPointCloudObjectTracking
    • arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-3DPointCloudObjectTracking
    • arn:aws:lambda:ap-south-1:565803892007:function:ACS-3DPointCloudObjectTracking
    • arn:aws:lambda:eu-central-1:203001061592:function:ACS-3DPointCloudObjectTracking
    • arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-3DPointCloudObjectTracking
    • arn:aws:lambda:eu-west-2:487402164563:function:ACS-3DPointCloudObjectTracking
    • arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-3DPointCloudObjectTracking
    • arn:aws:lambda:ca-central-1:918755190332:function:ACS-3DPointCloudObjectTracking

    3D Point Cloud Semantic Segmentation - Use this task type when you want workers to create a point-level semantic segmentation masks by painting objects in a 3D point cloud using different colors where each color is assigned to one of the classes you specify.

    • arn:aws:lambda:us-east-1:432418664414:function:ACS-3DPointCloudSemanticSegmentation
    • arn:aws:lambda:us-east-2:266458841044:function:ACS-3DPointCloudSemanticSegmentation
    • arn:aws:lambda:us-west-2:081040173940:function:ACS-3DPointCloudSemanticSegmentation
    • arn:aws:lambda:eu-west-1:568282634449:function:ACS-3DPointCloudSemanticSegmentation
    • arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-3DPointCloudSemanticSegmentation
    • arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-3DPointCloudSemanticSegmentation
    • arn:aws:lambda:ap-south-1:565803892007:function:ACS-3DPointCloudSemanticSegmentation
    • arn:aws:lambda:eu-central-1:203001061592:function:ACS-3DPointCloudSemanticSegmentation
    • arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-3DPointCloudSemanticSegmentation
    • arn:aws:lambda:eu-west-2:487402164563:function:ACS-3DPointCloudSemanticSegmentation
    • arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-3DPointCloudSemanticSegmentation
    • arn:aws:lambda:ca-central-1:918755190332:function:ACS-3DPointCloudSemanticSegmentation

    Use the following ARNs for Label Verification and Adjustment Jobs

    Use label verification and adjustment jobs to review and adjust labels. To learn more, see Verify and Adjust Labels .

    Semantic Segmentation Adjustment - Treats each pixel in an image as a multi-class classification and treats pixel adjusted annotations from workers as "votes" for the correct label.

    • arn:aws:lambda:us-east-1:432418664414:function:ACS-AdjustmentSemanticSegmentation
    • arn:aws:lambda:us-east-2:266458841044:function:ACS-AdjustmentSemanticSegmentation
    • arn:aws:lambda:us-west-2:081040173940:function:ACS-AdjustmentSemanticSegmentation
    • arn:aws:lambda:eu-west-1:568282634449:function:ACS-AdjustmentSemanticSegmentation
    • arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-AdjustmentSemanticSegmentation
    • arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-AdjustmentSemanticSegmentation
    • arn:aws:lambda:ap-south-1:565803892007:function:ACS-AdjustmentSemanticSegmentation
    • arn:aws:lambda:eu-central-1:203001061592:function:ACS-AdjustmentSemanticSegmentation
    • arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-AdjustmentSemanticSegmentation
    • arn:aws:lambda:eu-west-2:487402164563:function:ACS-AdjustmentSemanticSegmentation
    • arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-AdjustmentSemanticSegmentation
    • arn:aws:lambda:ca-central-1:918755190332:function:ACS-AdjustmentSemanticSegmentation

    Semantic Segmentation Verification - Uses a variant of the Expectation Maximization approach to estimate the true class of verification judgment for semantic segmentation labels based on annotations from individual workers.

    • arn:aws:lambda:us-east-1:432418664414:function:ACS-VerificationSemanticSegmentation
    • arn:aws:lambda:us-east-2:266458841044:function:ACS-VerificationSemanticSegmentation
    • arn:aws:lambda:us-west-2:081040173940:function:ACS-VerificationSemanticSegmentation
    • arn:aws:lambda:eu-west-1:568282634449:function:ACS-VerificationSemanticSegmentation
    • arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-VerificationSemanticSegmentation
    • arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-VerificationSemanticSegmentation
    • arn:aws:lambda:ap-south-1:565803892007:function:ACS-VerificationSemanticSegmentation
    • arn:aws:lambda:eu-central-1:203001061592:function:ACS-VerificationSemanticSegmentation
    • arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-VerificationSemanticSegmentation
    • arn:aws:lambda:eu-west-2:487402164563:function:ACS-VerificationSemanticSegmentation
    • arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-VerificationSemanticSegmentation
    • arn:aws:lambda:ca-central-1:918755190332:function:ACS-VerificationSemanticSegmentation

    Bounding Box Adjustment - Finds the most similar boxes from different workers based on the Jaccard index of the adjusted annotations.

    • arn:aws:lambda:us-east-1:432418664414:function:ACS-AdjustmentBoundingBox
    • arn:aws:lambda:us-east-2:266458841044:function:ACS-AdjustmentBoundingBox
    • arn:aws:lambda:us-west-2:081040173940:function:ACS-AdjustmentBoundingBox
    • arn:aws:lambda:eu-west-1:568282634449:function:ACS-AdjustmentBoundingBox
    • arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-AdjustmentBoundingBox
    • arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-AdjustmentBoundingBox
    • arn:aws:lambda:ap-south-1:565803892007:function:ACS-AdjustmentBoundingBox
    • arn:aws:lambda:eu-central-1:203001061592:function:ACS-AdjustmentBoundingBox
    • arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-AdjustmentBoundingBox
    • arn:aws:lambda:eu-west-2:487402164563:function:ACS-AdjustmentBoundingBox
    • arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-AdjustmentBoundingBox
    • arn:aws:lambda:ca-central-1:918755190332:function:ACS-AdjustmentBoundingBox

    Bounding Box Verification - Uses a variant of the Expectation Maximization approach to estimate the true class of verification judgement for bounding box labels based on annotations from individual workers.

    • arn:aws:lambda:us-east-1:432418664414:function:ACS-VerificationBoundingBox
    • arn:aws:lambda:us-east-2:266458841044:function:ACS-VerificationBoundingBox
    • arn:aws:lambda:us-west-2:081040173940:function:ACS-VerificationBoundingBox
    • arn:aws:lambda:eu-west-1:568282634449:function:ACS-VerificationBoundingBox
    • arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-VerificationBoundingBox
    • arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-VerificationBoundingBox
    • arn:aws:lambda:ap-south-1:565803892007:function:ACS-VerificationBoundingBox
    • arn:aws:lambda:eu-central-1:203001061592:function:ACS-VerificationBoundingBox
    • arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-VerificationBoundingBox
    • arn:aws:lambda:eu-west-2:487402164563:function:ACS-VerificationBoundingBox
    • arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-VerificationBoundingBox
    • arn:aws:lambda:ca-central-1:918755190332:function:ACS-VerificationBoundingBox

    Video Frame Object Detection Adjustment - Use this task type when you want workers to adjust bounding boxes that workers have added to video frames to classify and localize objects in a sequence of video frames.

    • arn:aws:lambda:us-east-1:432418664414:function:ACS-AdjustmentVideoObjectDetection
    • arn:aws:lambda:us-east-2:266458841044:function:ACS-AdjustmentVideoObjectDetection
    • arn:aws:lambda:us-west-2:081040173940:function:ACS-AdjustmentVideoObjectDetection
    • arn:aws:lambda:eu-west-1:568282634449:function:ACS-AdjustmentVideoObjectDetection
    • arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-AdjustmentVideoObjectDetection
    • arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-AdjustmentVideoObjectDetection
    • arn:aws:lambda:ap-south-1:565803892007:function:ACS-AdjustmentVideoObjectDetection
    • arn:aws:lambda:eu-central-1:203001061592:function:ACS-AdjustmentVideoObjectDetection
    • arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-AdjustmentVideoObjectDetection
    • arn:aws:lambda:eu-west-2:487402164563:function:ACS-AdjustmentVideoObjectDetection
    • arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-AdjustmentVideoObjectDetection
    • arn:aws:lambda:ca-central-1:918755190332:function:ACS-AdjustmentVideoObjectDetection

    Video Frame Object Tracking Adjustment - Use this task type when you want workers to adjust bounding boxes that workers have added to video frames to track object movement across a sequence of video frames.

    • arn:aws:lambda:us-east-1:432418664414:function:ACS-AdjustmentVideoObjectTracking
    • arn:aws:lambda:us-east-2:266458841044:function:ACS-AdjustmentVideoObjectTracking
    • arn:aws:lambda:us-west-2:081040173940:function:ACS-AdjustmentVideoObjectTracking
    • arn:aws:lambda:eu-west-1:568282634449:function:ACS-AdjustmentVideoObjectTracking
    • arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-AdjustmentVideoObjectTracking
    • arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-AdjustmentVideoObjectTracking
    • arn:aws:lambda:ap-south-1:565803892007:function:ACS-AdjustmentVideoObjectTracking
    • arn:aws:lambda:eu-central-1:203001061592:function:ACS-AdjustmentVideoObjectTracking
    • arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-AdjustmentVideoObjectTracking
    • arn:aws:lambda:eu-west-2:487402164563:function:ACS-AdjustmentVideoObjectTracking
    • arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-AdjustmentVideoObjectTracking
    • arn:aws:lambda:ca-central-1:918755190332:function:ACS-AdjustmentVideoObjectTracking

    3D Point Cloud Object Detection Adjustment - Use this task type when you want workers to adjust 3D cuboids around objects in a 3D point cloud.

    • arn:aws:lambda:us-east-1:432418664414:function:ACS-Adjustment3DPointCloudObjectDetection
    • arn:aws:lambda:us-east-2:266458841044:function:ACS-Adjustment3DPointCloudObjectDetection
    • arn:aws:lambda:us-west-2:081040173940:function:ACS-Adjustment3DPointCloudObjectDetection
    • arn:aws:lambda:eu-west-1:568282634449:function:ACS-Adjustment3DPointCloudObjectDetection
    • arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-Adjustment3DPointCloudObjectDetection
    • arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-Adjustment3DPointCloudObjectDetection
    • arn:aws:lambda:ap-south-1:565803892007:function:ACS-Adjustment3DPointCloudObjectDetection
    • arn:aws:lambda:eu-central-1:203001061592:function:ACS-Adjustment3DPointCloudObjectDetection
    • arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-Adjustment3DPointCloudObjectDetection
    • arn:aws:lambda:eu-west-2:487402164563:function:ACS-Adjustment3DPointCloudObjectDetection
    • arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-Adjustment3DPointCloudObjectDetection
    • arn:aws:lambda:ca-central-1:918755190332:function:ACS-Adjustment3DPointCloudObjectDetection

    3D Point Cloud Object Tracking Adjustment - Use this task type when you want workers to adjust 3D cuboids around objects that appear in a sequence of 3D point cloud frames.

    • arn:aws:lambda:us-east-1:432418664414:function:ACS-Adjustment3DPointCloudObjectTracking
    • arn:aws:lambda:us-east-2:266458841044:function:ACS-Adjustment3DPointCloudObjectTracking
    • arn:aws:lambda:us-west-2:081040173940:function:ACS-Adjustment3DPointCloudObjectTracking
    • arn:aws:lambda:eu-west-1:568282634449:function:ACS-Adjustment3DPointCloudObjectTracking
    • arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-Adjustment3DPointCloudObjectTracking
    • arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-Adjustment3DPointCloudObjectTracking
    • arn:aws:lambda:ap-south-1:565803892007:function:ACS-Adjustment3DPointCloudObjectTracking
    • arn:aws:lambda:eu-central-1:203001061592:function:ACS-Adjustment3DPointCloudObjectTracking
    • arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-Adjustment3DPointCloudObjectTracking
    • arn:aws:lambda:eu-west-2:487402164563:function:ACS-Adjustment3DPointCloudObjectTracking
    • arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-Adjustment3DPointCloudObjectTracking
    • arn:aws:lambda:ca-central-1:918755190332:function:ACS-Adjustment3DPointCloudObjectTracking

    3D Point Cloud Semantic Segmentation Adjustment - Use this task type when you want workers to adjust a point-level semantic segmentation masks using a paint tool.

    • arn:aws:lambda:us-east-1:432418664414:function:ACS-3DPointCloudSemanticSegmentation
    • arn:aws:lambda:us-east-1:432418664414:function:ACS-Adjustment3DPointCloudSemanticSegmentation
    • arn:aws:lambda:us-east-2:266458841044:function:ACS-Adjustment3DPointCloudSemanticSegmentation
    • arn:aws:lambda:us-west-2:081040173940:function:ACS-Adjustment3DPointCloudSemanticSegmentation
    • arn:aws:lambda:eu-west-1:568282634449:function:ACS-Adjustment3DPointCloudSemanticSegmentation
    • arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-Adjustment3DPointCloudSemanticSegmentation
    • arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-Adjustment3DPointCloudSemanticSegmentation
    • arn:aws:lambda:ap-south-1:565803892007:function:ACS-Adjustment3DPointCloudSemanticSegmentation
    • arn:aws:lambda:eu-central-1:203001061592:function:ACS-Adjustment3DPointCloudSemanticSegmentation
    • arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-Adjustment3DPointCloudSemanticSegmentation
    • arn:aws:lambda:eu-west-2:487402164563:function:ACS-Adjustment3DPointCloudSemanticSegmentation
    • arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-Adjustment3DPointCloudSemanticSegmentation
    • arn:aws:lambda:ca-central-1:918755190332:function:ACS-Adjustment3DPointCloudSemanticSegmentation

Instances

Instances details
FromJSON AnnotationConsolidationConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AnnotationConsolidationConfig

Methods

parseJSON :: Value -> Parser AnnotationConsolidationConfig #

parseJSONList :: Value -> Parser [AnnotationConsolidationConfig] #

ToJSON AnnotationConsolidationConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AnnotationConsolidationConfig

Methods

toJSON :: AnnotationConsolidationConfig -> Value #

toEncoding :: AnnotationConsolidationConfig -> Encoding #

toJSONList :: [AnnotationConsolidationConfig] -> Value #

toEncodingList :: [AnnotationConsolidationConfig] -> Encoding #

Generic AnnotationConsolidationConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AnnotationConsolidationConfig

Associated Types

type Rep AnnotationConsolidationConfig :: Type -> Type #

Methods

from :: AnnotationConsolidationConfig -> Rep AnnotationConsolidationConfig x #

to :: Rep AnnotationConsolidationConfig x -> AnnotationConsolidationConfig #

Read AnnotationConsolidationConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AnnotationConsolidationConfig

Methods

readsPrec :: Int -> ReadS AnnotationConsolidationConfig #

readList :: ReadS [AnnotationConsolidationConfig] #

readPrec :: ReadPrec AnnotationConsolidationConfig #

readListPrec :: ReadPrec [AnnotationConsolidationConfig] #

Show AnnotationConsolidationConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AnnotationConsolidationConfig

Methods

showsPrec :: Int -> AnnotationConsolidationConfig -> ShowS #

show :: AnnotationConsolidationConfig -> String #

showList :: [AnnotationConsolidationConfig] -> ShowS #

NFData AnnotationConsolidationConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AnnotationConsolidationConfig

Methods

rnf :: AnnotationConsolidationConfig -> () #

Eq AnnotationConsolidationConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AnnotationConsolidationConfig

Methods

(==) :: AnnotationConsolidationConfig -> AnnotationConsolidationConfig -> Bool #

(/=) :: AnnotationConsolidationConfig -> AnnotationConsolidationConfig -> Bool #

Hashable AnnotationConsolidationConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AnnotationConsolidationConfig

Methods

hashWithSalt :: Int -> AnnotationConsolidationConfig -> Int #

hash :: AnnotationConsolidationConfig -> Int #

type Rep AnnotationConsolidationConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AnnotationConsolidationConfig

type Rep AnnotationConsolidationConfig = D1 ('MetaData "AnnotationConsolidationConfig" "Amazonka.SageMaker.Types.AnnotationConsolidationConfig" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "AnnotationConsolidationConfig'" 'PrefixI 'True) (S1 ('MetaSel ('Just "annotationConsolidationLambdaArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))

newAnnotationConsolidationConfig Source #

Arguments

:: Text

$sel:annotationConsolidationLambdaArn:AnnotationConsolidationConfig'

-> AnnotationConsolidationConfig 

Create a value of AnnotationConsolidationConfig with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:annotationConsolidationLambdaArn:AnnotationConsolidationConfig', annotationConsolidationConfig_annotationConsolidationLambdaArn - The Amazon Resource Name (ARN) of a Lambda function implements the logic for annotation consolidation and to process output data.

This parameter is required for all labeling jobs. For built-in task types, use one of the following Amazon SageMaker Ground Truth Lambda function ARNs for AnnotationConsolidationLambdaArn. For custom labeling workflows, see Post-annotation Lambda.

Bounding box - Finds the most similar boxes from different workers based on the Jaccard index of the boxes.

  • arn:aws:lambda:us-east-1:432418664414:function:ACS-BoundingBox
  • arn:aws:lambda:us-east-2:266458841044:function:ACS-BoundingBox
  • arn:aws:lambda:us-west-2:081040173940:function:ACS-BoundingBox
  • arn:aws:lambda:eu-west-1:568282634449:function:ACS-BoundingBox
  • arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-BoundingBox
  • arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-BoundingBox
  • arn:aws:lambda:ap-south-1:565803892007:function:ACS-BoundingBox
  • arn:aws:lambda:eu-central-1:203001061592:function:ACS-BoundingBox
  • arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-BoundingBox
  • arn:aws:lambda:eu-west-2:487402164563:function:ACS-BoundingBox
  • arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-BoundingBox
  • arn:aws:lambda:ca-central-1:918755190332:function:ACS-BoundingBox

Image classification - Uses a variant of the Expectation Maximization approach to estimate the true class of an image based on annotations from individual workers.

  • arn:aws:lambda:us-east-1:432418664414:function:ACS-ImageMultiClass
  • arn:aws:lambda:us-east-2:266458841044:function:ACS-ImageMultiClass
  • arn:aws:lambda:us-west-2:081040173940:function:ACS-ImageMultiClass
  • arn:aws:lambda:eu-west-1:568282634449:function:ACS-ImageMultiClass
  • arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-ImageMultiClass
  • arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-ImageMultiClass
  • arn:aws:lambda:ap-south-1:565803892007:function:ACS-ImageMultiClass
  • arn:aws:lambda:eu-central-1:203001061592:function:ACS-ImageMultiClass
  • arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-ImageMultiClass
  • arn:aws:lambda:eu-west-2:487402164563:function:ACS-ImageMultiClass
  • arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-ImageMultiClass
  • arn:aws:lambda:ca-central-1:918755190332:function:ACS-ImageMultiClass

Multi-label image classification - Uses a variant of the Expectation Maximization approach to estimate the true classes of an image based on annotations from individual workers.

  • arn:aws:lambda:us-east-1:432418664414:function:ACS-ImageMultiClassMultiLabel
  • arn:aws:lambda:us-east-2:266458841044:function:ACS-ImageMultiClassMultiLabel
  • arn:aws:lambda:us-west-2:081040173940:function:ACS-ImageMultiClassMultiLabel
  • arn:aws:lambda:eu-west-1:568282634449:function:ACS-ImageMultiClassMultiLabel
  • arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-ImageMultiClassMultiLabel
  • arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-ImageMultiClassMultiLabel
  • arn:aws:lambda:ap-south-1:565803892007:function:ACS-ImageMultiClassMultiLabel
  • arn:aws:lambda:eu-central-1:203001061592:function:ACS-ImageMultiClassMultiLabel
  • arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-ImageMultiClassMultiLabel
  • arn:aws:lambda:eu-west-2:487402164563:function:ACS-ImageMultiClassMultiLabel
  • arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-ImageMultiClassMultiLabel
  • arn:aws:lambda:ca-central-1:918755190332:function:ACS-ImageMultiClassMultiLabel

Semantic segmentation - Treats each pixel in an image as a multi-class classification and treats pixel annotations from workers as "votes" for the correct label.

  • arn:aws:lambda:us-east-1:432418664414:function:ACS-SemanticSegmentation
  • arn:aws:lambda:us-east-2:266458841044:function:ACS-SemanticSegmentation
  • arn:aws:lambda:us-west-2:081040173940:function:ACS-SemanticSegmentation
  • arn:aws:lambda:eu-west-1:568282634449:function:ACS-SemanticSegmentation
  • arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-SemanticSegmentation
  • arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-SemanticSegmentation
  • arn:aws:lambda:ap-south-1:565803892007:function:ACS-SemanticSegmentation
  • arn:aws:lambda:eu-central-1:203001061592:function:ACS-SemanticSegmentation
  • arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-SemanticSegmentation
  • arn:aws:lambda:eu-west-2:487402164563:function:ACS-SemanticSegmentation
  • arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-SemanticSegmentation
  • arn:aws:lambda:ca-central-1:918755190332:function:ACS-SemanticSegmentation

Text classification - Uses a variant of the Expectation Maximization approach to estimate the true class of text based on annotations from individual workers.

  • arn:aws:lambda:us-east-1:432418664414:function:ACS-TextMultiClass
  • arn:aws:lambda:us-east-2:266458841044:function:ACS-TextMultiClass
  • arn:aws:lambda:us-west-2:081040173940:function:ACS-TextMultiClass
  • arn:aws:lambda:eu-west-1:568282634449:function:ACS-TextMultiClass
  • arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-TextMultiClass
  • arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-TextMultiClass
  • arn:aws:lambda:ap-south-1:565803892007:function:ACS-TextMultiClass
  • arn:aws:lambda:eu-central-1:203001061592:function:ACS-TextMultiClass
  • arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-TextMultiClass
  • arn:aws:lambda:eu-west-2:487402164563:function:ACS-TextMultiClass
  • arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-TextMultiClass
  • arn:aws:lambda:ca-central-1:918755190332:function:ACS-TextMultiClass

Multi-label text classification - Uses a variant of the Expectation Maximization approach to estimate the true classes of text based on annotations from individual workers.

  • arn:aws:lambda:us-east-1:432418664414:function:ACS-TextMultiClassMultiLabel
  • arn:aws:lambda:us-east-2:266458841044:function:ACS-TextMultiClassMultiLabel
  • arn:aws:lambda:us-west-2:081040173940:function:ACS-TextMultiClassMultiLabel
  • arn:aws:lambda:eu-west-1:568282634449:function:ACS-TextMultiClassMultiLabel
  • arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-TextMultiClassMultiLabel
  • arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-TextMultiClassMultiLabel
  • arn:aws:lambda:ap-south-1:565803892007:function:ACS-TextMultiClassMultiLabel
  • arn:aws:lambda:eu-central-1:203001061592:function:ACS-TextMultiClassMultiLabel
  • arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-TextMultiClassMultiLabel
  • arn:aws:lambda:eu-west-2:487402164563:function:ACS-TextMultiClassMultiLabel
  • arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-TextMultiClassMultiLabel
  • arn:aws:lambda:ca-central-1:918755190332:function:ACS-TextMultiClassMultiLabel

Named entity recognition - Groups similar selections and calculates aggregate boundaries, resolving to most-assigned label.

  • arn:aws:lambda:us-east-1:432418664414:function:ACS-NamedEntityRecognition
  • arn:aws:lambda:us-east-2:266458841044:function:ACS-NamedEntityRecognition
  • arn:aws:lambda:us-west-2:081040173940:function:ACS-NamedEntityRecognition
  • arn:aws:lambda:eu-west-1:568282634449:function:ACS-NamedEntityRecognition
  • arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-NamedEntityRecognition
  • arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-NamedEntityRecognition
  • arn:aws:lambda:ap-south-1:565803892007:function:ACS-NamedEntityRecognition
  • arn:aws:lambda:eu-central-1:203001061592:function:ACS-NamedEntityRecognition
  • arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-NamedEntityRecognition
  • arn:aws:lambda:eu-west-2:487402164563:function:ACS-NamedEntityRecognition
  • arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-NamedEntityRecognition
  • arn:aws:lambda:ca-central-1:918755190332:function:ACS-NamedEntityRecognition

Video Classification - Use this task type when you need workers to classify videos using predefined labels that you specify. Workers are shown videos and are asked to choose one label for each video.

  • arn:aws:lambda:us-east-1:432418664414:function:ACS-VideoMultiClass
  • arn:aws:lambda:us-east-2:266458841044:function:ACS-VideoMultiClass
  • arn:aws:lambda:us-west-2:081040173940:function:ACS-VideoMultiClass
  • arn:aws:lambda:eu-west-1:568282634449:function:ACS-VideoMultiClass
  • arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-VideoMultiClass
  • arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-VideoMultiClass
  • arn:aws:lambda:ap-south-1:565803892007:function:ACS-VideoMultiClass
  • arn:aws:lambda:eu-central-1:203001061592:function:ACS-VideoMultiClass
  • arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-VideoMultiClass
  • arn:aws:lambda:eu-west-2:487402164563:function:ACS-VideoMultiClass
  • arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-VideoMultiClass
  • arn:aws:lambda:ca-central-1:918755190332:function:ACS-VideoMultiClass

Video Frame Object Detection - Use this task type to have workers identify and locate objects in a sequence of video frames (images extracted from a video) using bounding boxes. For example, you can use this task to ask workers to identify and localize various objects in a series of video frames, such as cars, bikes, and pedestrians.

  • arn:aws:lambda:us-east-1:432418664414:function:ACS-VideoObjectDetection
  • arn:aws:lambda:us-east-2:266458841044:function:ACS-VideoObjectDetection
  • arn:aws:lambda:us-west-2:081040173940:function:ACS-VideoObjectDetection
  • arn:aws:lambda:eu-west-1:568282634449:function:ACS-VideoObjectDetection
  • arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-VideoObjectDetection
  • arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-VideoObjectDetection
  • arn:aws:lambda:ap-south-1:565803892007:function:ACS-VideoObjectDetection
  • arn:aws:lambda:eu-central-1:203001061592:function:ACS-VideoObjectDetection
  • arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-VideoObjectDetection
  • arn:aws:lambda:eu-west-2:487402164563:function:ACS-VideoObjectDetection
  • arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-VideoObjectDetection
  • arn:aws:lambda:ca-central-1:918755190332:function:ACS-VideoObjectDetection

Video Frame Object Tracking - Use this task type to have workers track the movement of objects in a sequence of video frames (images extracted from a video) using bounding boxes. For example, you can use this task to ask workers to track the movement of objects, such as cars, bikes, and pedestrians.

  • arn:aws:lambda:us-east-1:432418664414:function:ACS-VideoObjectTracking
  • arn:aws:lambda:us-east-2:266458841044:function:ACS-VideoObjectTracking
  • arn:aws:lambda:us-west-2:081040173940:function:ACS-VideoObjectTracking
  • arn:aws:lambda:eu-west-1:568282634449:function:ACS-VideoObjectTracking
  • arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-VideoObjectTracking
  • arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-VideoObjectTracking
  • arn:aws:lambda:ap-south-1:565803892007:function:ACS-VideoObjectTracking
  • arn:aws:lambda:eu-central-1:203001061592:function:ACS-VideoObjectTracking
  • arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-VideoObjectTracking
  • arn:aws:lambda:eu-west-2:487402164563:function:ACS-VideoObjectTracking
  • arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-VideoObjectTracking
  • arn:aws:lambda:ca-central-1:918755190332:function:ACS-VideoObjectTracking

3D Point Cloud Object Detection - Use this task type when you want workers to classify objects in a 3D point cloud by drawing 3D cuboids around objects. For example, you can use this task type to ask workers to identify different types of objects in a point cloud, such as cars, bikes, and pedestrians.

  • arn:aws:lambda:us-east-1:432418664414:function:ACS-3DPointCloudObjectDetection
  • arn:aws:lambda:us-east-2:266458841044:function:ACS-3DPointCloudObjectDetection
  • arn:aws:lambda:us-west-2:081040173940:function:ACS-3DPointCloudObjectDetection
  • arn:aws:lambda:eu-west-1:568282634449:function:ACS-3DPointCloudObjectDetection
  • arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-3DPointCloudObjectDetection
  • arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-3DPointCloudObjectDetection
  • arn:aws:lambda:ap-south-1:565803892007:function:ACS-3DPointCloudObjectDetection
  • arn:aws:lambda:eu-central-1:203001061592:function:ACS-3DPointCloudObjectDetection
  • arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-3DPointCloudObjectDetection
  • arn:aws:lambda:eu-west-2:487402164563:function:ACS-3DPointCloudObjectDetection
  • arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-3DPointCloudObjectDetection
  • arn:aws:lambda:ca-central-1:918755190332:function:ACS-3DPointCloudObjectDetection

3D Point Cloud Object Tracking - Use this task type when you want workers to draw 3D cuboids around objects that appear in a sequence of 3D point cloud frames. For example, you can use this task type to ask workers to track the movement of vehicles across multiple point cloud frames.

  • arn:aws:lambda:us-east-1:432418664414:function:ACS-3DPointCloudObjectTracking
  • arn:aws:lambda:us-east-2:266458841044:function:ACS-3DPointCloudObjectTracking
  • arn:aws:lambda:us-west-2:081040173940:function:ACS-3DPointCloudObjectTracking
  • arn:aws:lambda:eu-west-1:568282634449:function:ACS-3DPointCloudObjectTracking
  • arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-3DPointCloudObjectTracking
  • arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-3DPointCloudObjectTracking
  • arn:aws:lambda:ap-south-1:565803892007:function:ACS-3DPointCloudObjectTracking
  • arn:aws:lambda:eu-central-1:203001061592:function:ACS-3DPointCloudObjectTracking
  • arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-3DPointCloudObjectTracking
  • arn:aws:lambda:eu-west-2:487402164563:function:ACS-3DPointCloudObjectTracking
  • arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-3DPointCloudObjectTracking
  • arn:aws:lambda:ca-central-1:918755190332:function:ACS-3DPointCloudObjectTracking

3D Point Cloud Semantic Segmentation - Use this task type when you want workers to create a point-level semantic segmentation masks by painting objects in a 3D point cloud using different colors where each color is assigned to one of the classes you specify.

  • arn:aws:lambda:us-east-1:432418664414:function:ACS-3DPointCloudSemanticSegmentation
  • arn:aws:lambda:us-east-2:266458841044:function:ACS-3DPointCloudSemanticSegmentation
  • arn:aws:lambda:us-west-2:081040173940:function:ACS-3DPointCloudSemanticSegmentation
  • arn:aws:lambda:eu-west-1:568282634449:function:ACS-3DPointCloudSemanticSegmentation
  • arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-3DPointCloudSemanticSegmentation
  • arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-3DPointCloudSemanticSegmentation
  • arn:aws:lambda:ap-south-1:565803892007:function:ACS-3DPointCloudSemanticSegmentation
  • arn:aws:lambda:eu-central-1:203001061592:function:ACS-3DPointCloudSemanticSegmentation
  • arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-3DPointCloudSemanticSegmentation
  • arn:aws:lambda:eu-west-2:487402164563:function:ACS-3DPointCloudSemanticSegmentation
  • arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-3DPointCloudSemanticSegmentation
  • arn:aws:lambda:ca-central-1:918755190332:function:ACS-3DPointCloudSemanticSegmentation

Use the following ARNs for Label Verification and Adjustment Jobs

Use label verification and adjustment jobs to review and adjust labels. To learn more, see Verify and Adjust Labels .

Semantic Segmentation Adjustment - Treats each pixel in an image as a multi-class classification and treats pixel adjusted annotations from workers as "votes" for the correct label.

  • arn:aws:lambda:us-east-1:432418664414:function:ACS-AdjustmentSemanticSegmentation
  • arn:aws:lambda:us-east-2:266458841044:function:ACS-AdjustmentSemanticSegmentation
  • arn:aws:lambda:us-west-2:081040173940:function:ACS-AdjustmentSemanticSegmentation
  • arn:aws:lambda:eu-west-1:568282634449:function:ACS-AdjustmentSemanticSegmentation
  • arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-AdjustmentSemanticSegmentation
  • arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-AdjustmentSemanticSegmentation
  • arn:aws:lambda:ap-south-1:565803892007:function:ACS-AdjustmentSemanticSegmentation
  • arn:aws:lambda:eu-central-1:203001061592:function:ACS-AdjustmentSemanticSegmentation
  • arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-AdjustmentSemanticSegmentation
  • arn:aws:lambda:eu-west-2:487402164563:function:ACS-AdjustmentSemanticSegmentation
  • arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-AdjustmentSemanticSegmentation
  • arn:aws:lambda:ca-central-1:918755190332:function:ACS-AdjustmentSemanticSegmentation

Semantic Segmentation Verification - Uses a variant of the Expectation Maximization approach to estimate the true class of verification judgment for semantic segmentation labels based on annotations from individual workers.

  • arn:aws:lambda:us-east-1:432418664414:function:ACS-VerificationSemanticSegmentation
  • arn:aws:lambda:us-east-2:266458841044:function:ACS-VerificationSemanticSegmentation
  • arn:aws:lambda:us-west-2:081040173940:function:ACS-VerificationSemanticSegmentation
  • arn:aws:lambda:eu-west-1:568282634449:function:ACS-VerificationSemanticSegmentation
  • arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-VerificationSemanticSegmentation
  • arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-VerificationSemanticSegmentation
  • arn:aws:lambda:ap-south-1:565803892007:function:ACS-VerificationSemanticSegmentation
  • arn:aws:lambda:eu-central-1:203001061592:function:ACS-VerificationSemanticSegmentation
  • arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-VerificationSemanticSegmentation
  • arn:aws:lambda:eu-west-2:487402164563:function:ACS-VerificationSemanticSegmentation
  • arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-VerificationSemanticSegmentation
  • arn:aws:lambda:ca-central-1:918755190332:function:ACS-VerificationSemanticSegmentation

Bounding Box Adjustment - Finds the most similar boxes from different workers based on the Jaccard index of the adjusted annotations.

  • arn:aws:lambda:us-east-1:432418664414:function:ACS-AdjustmentBoundingBox
  • arn:aws:lambda:us-east-2:266458841044:function:ACS-AdjustmentBoundingBox
  • arn:aws:lambda:us-west-2:081040173940:function:ACS-AdjustmentBoundingBox
  • arn:aws:lambda:eu-west-1:568282634449:function:ACS-AdjustmentBoundingBox
  • arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-AdjustmentBoundingBox
  • arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-AdjustmentBoundingBox
  • arn:aws:lambda:ap-south-1:565803892007:function:ACS-AdjustmentBoundingBox
  • arn:aws:lambda:eu-central-1:203001061592:function:ACS-AdjustmentBoundingBox
  • arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-AdjustmentBoundingBox
  • arn:aws:lambda:eu-west-2:487402164563:function:ACS-AdjustmentBoundingBox
  • arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-AdjustmentBoundingBox
  • arn:aws:lambda:ca-central-1:918755190332:function:ACS-AdjustmentBoundingBox

Bounding Box Verification - Uses a variant of the Expectation Maximization approach to estimate the true class of verification judgement for bounding box labels based on annotations from individual workers.

  • arn:aws:lambda:us-east-1:432418664414:function:ACS-VerificationBoundingBox
  • arn:aws:lambda:us-east-2:266458841044:function:ACS-VerificationBoundingBox
  • arn:aws:lambda:us-west-2:081040173940:function:ACS-VerificationBoundingBox
  • arn:aws:lambda:eu-west-1:568282634449:function:ACS-VerificationBoundingBox
  • arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-VerificationBoundingBox
  • arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-VerificationBoundingBox
  • arn:aws:lambda:ap-south-1:565803892007:function:ACS-VerificationBoundingBox
  • arn:aws:lambda:eu-central-1:203001061592:function:ACS-VerificationBoundingBox
  • arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-VerificationBoundingBox
  • arn:aws:lambda:eu-west-2:487402164563:function:ACS-VerificationBoundingBox
  • arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-VerificationBoundingBox
  • arn:aws:lambda:ca-central-1:918755190332:function:ACS-VerificationBoundingBox

Video Frame Object Detection Adjustment - Use this task type when you want workers to adjust bounding boxes that workers have added to video frames to classify and localize objects in a sequence of video frames.

  • arn:aws:lambda:us-east-1:432418664414:function:ACS-AdjustmentVideoObjectDetection
  • arn:aws:lambda:us-east-2:266458841044:function:ACS-AdjustmentVideoObjectDetection
  • arn:aws:lambda:us-west-2:081040173940:function:ACS-AdjustmentVideoObjectDetection
  • arn:aws:lambda:eu-west-1:568282634449:function:ACS-AdjustmentVideoObjectDetection
  • arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-AdjustmentVideoObjectDetection
  • arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-AdjustmentVideoObjectDetection
  • arn:aws:lambda:ap-south-1:565803892007:function:ACS-AdjustmentVideoObjectDetection
  • arn:aws:lambda:eu-central-1:203001061592:function:ACS-AdjustmentVideoObjectDetection
  • arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-AdjustmentVideoObjectDetection
  • arn:aws:lambda:eu-west-2:487402164563:function:ACS-AdjustmentVideoObjectDetection
  • arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-AdjustmentVideoObjectDetection
  • arn:aws:lambda:ca-central-1:918755190332:function:ACS-AdjustmentVideoObjectDetection

Video Frame Object Tracking Adjustment - Use this task type when you want workers to adjust bounding boxes that workers have added to video frames to track object movement across a sequence of video frames.

  • arn:aws:lambda:us-east-1:432418664414:function:ACS-AdjustmentVideoObjectTracking
  • arn:aws:lambda:us-east-2:266458841044:function:ACS-AdjustmentVideoObjectTracking
  • arn:aws:lambda:us-west-2:081040173940:function:ACS-AdjustmentVideoObjectTracking
  • arn:aws:lambda:eu-west-1:568282634449:function:ACS-AdjustmentVideoObjectTracking
  • arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-AdjustmentVideoObjectTracking
  • arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-AdjustmentVideoObjectTracking
  • arn:aws:lambda:ap-south-1:565803892007:function:ACS-AdjustmentVideoObjectTracking
  • arn:aws:lambda:eu-central-1:203001061592:function:ACS-AdjustmentVideoObjectTracking
  • arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-AdjustmentVideoObjectTracking
  • arn:aws:lambda:eu-west-2:487402164563:function:ACS-AdjustmentVideoObjectTracking
  • arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-AdjustmentVideoObjectTracking
  • arn:aws:lambda:ca-central-1:918755190332:function:ACS-AdjustmentVideoObjectTracking

3D Point Cloud Object Detection Adjustment - Use this task type when you want workers to adjust 3D cuboids around objects in a 3D point cloud.

  • arn:aws:lambda:us-east-1:432418664414:function:ACS-Adjustment3DPointCloudObjectDetection
  • arn:aws:lambda:us-east-2:266458841044:function:ACS-Adjustment3DPointCloudObjectDetection
  • arn:aws:lambda:us-west-2:081040173940:function:ACS-Adjustment3DPointCloudObjectDetection
  • arn:aws:lambda:eu-west-1:568282634449:function:ACS-Adjustment3DPointCloudObjectDetection
  • arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-Adjustment3DPointCloudObjectDetection
  • arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-Adjustment3DPointCloudObjectDetection
  • arn:aws:lambda:ap-south-1:565803892007:function:ACS-Adjustment3DPointCloudObjectDetection
  • arn:aws:lambda:eu-central-1:203001061592:function:ACS-Adjustment3DPointCloudObjectDetection
  • arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-Adjustment3DPointCloudObjectDetection
  • arn:aws:lambda:eu-west-2:487402164563:function:ACS-Adjustment3DPointCloudObjectDetection
  • arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-Adjustment3DPointCloudObjectDetection
  • arn:aws:lambda:ca-central-1:918755190332:function:ACS-Adjustment3DPointCloudObjectDetection

3D Point Cloud Object Tracking Adjustment - Use this task type when you want workers to adjust 3D cuboids around objects that appear in a sequence of 3D point cloud frames.

  • arn:aws:lambda:us-east-1:432418664414:function:ACS-Adjustment3DPointCloudObjectTracking
  • arn:aws:lambda:us-east-2:266458841044:function:ACS-Adjustment3DPointCloudObjectTracking
  • arn:aws:lambda:us-west-2:081040173940:function:ACS-Adjustment3DPointCloudObjectTracking
  • arn:aws:lambda:eu-west-1:568282634449:function:ACS-Adjustment3DPointCloudObjectTracking
  • arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-Adjustment3DPointCloudObjectTracking
  • arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-Adjustment3DPointCloudObjectTracking
  • arn:aws:lambda:ap-south-1:565803892007:function:ACS-Adjustment3DPointCloudObjectTracking
  • arn:aws:lambda:eu-central-1:203001061592:function:ACS-Adjustment3DPointCloudObjectTracking
  • arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-Adjustment3DPointCloudObjectTracking
  • arn:aws:lambda:eu-west-2:487402164563:function:ACS-Adjustment3DPointCloudObjectTracking
  • arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-Adjustment3DPointCloudObjectTracking
  • arn:aws:lambda:ca-central-1:918755190332:function:ACS-Adjustment3DPointCloudObjectTracking

3D Point Cloud Semantic Segmentation Adjustment - Use this task type when you want workers to adjust a point-level semantic segmentation masks using a paint tool.

  • arn:aws:lambda:us-east-1:432418664414:function:ACS-3DPointCloudSemanticSegmentation
  • arn:aws:lambda:us-east-1:432418664414:function:ACS-Adjustment3DPointCloudSemanticSegmentation
  • arn:aws:lambda:us-east-2:266458841044:function:ACS-Adjustment3DPointCloudSemanticSegmentation
  • arn:aws:lambda:us-west-2:081040173940:function:ACS-Adjustment3DPointCloudSemanticSegmentation
  • arn:aws:lambda:eu-west-1:568282634449:function:ACS-Adjustment3DPointCloudSemanticSegmentation
  • arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-Adjustment3DPointCloudSemanticSegmentation
  • arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-Adjustment3DPointCloudSemanticSegmentation
  • arn:aws:lambda:ap-south-1:565803892007:function:ACS-Adjustment3DPointCloudSemanticSegmentation
  • arn:aws:lambda:eu-central-1:203001061592:function:ACS-Adjustment3DPointCloudSemanticSegmentation
  • arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-Adjustment3DPointCloudSemanticSegmentation
  • arn:aws:lambda:eu-west-2:487402164563:function:ACS-Adjustment3DPointCloudSemanticSegmentation
  • arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-Adjustment3DPointCloudSemanticSegmentation
  • arn:aws:lambda:ca-central-1:918755190332:function:ACS-Adjustment3DPointCloudSemanticSegmentation

annotationConsolidationConfig_annotationConsolidationLambdaArn :: Lens' AnnotationConsolidationConfig Text Source #

The Amazon Resource Name (ARN) of a Lambda function implements the logic for annotation consolidation and to process output data.

This parameter is required for all labeling jobs. For built-in task types, use one of the following Amazon SageMaker Ground Truth Lambda function ARNs for AnnotationConsolidationLambdaArn. For custom labeling workflows, see Post-annotation Lambda.

Bounding box - Finds the most similar boxes from different workers based on the Jaccard index of the boxes.

  • arn:aws:lambda:us-east-1:432418664414:function:ACS-BoundingBox
  • arn:aws:lambda:us-east-2:266458841044:function:ACS-BoundingBox
  • arn:aws:lambda:us-west-2:081040173940:function:ACS-BoundingBox
  • arn:aws:lambda:eu-west-1:568282634449:function:ACS-BoundingBox
  • arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-BoundingBox
  • arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-BoundingBox
  • arn:aws:lambda:ap-south-1:565803892007:function:ACS-BoundingBox
  • arn:aws:lambda:eu-central-1:203001061592:function:ACS-BoundingBox
  • arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-BoundingBox
  • arn:aws:lambda:eu-west-2:487402164563:function:ACS-BoundingBox
  • arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-BoundingBox
  • arn:aws:lambda:ca-central-1:918755190332:function:ACS-BoundingBox

Image classification - Uses a variant of the Expectation Maximization approach to estimate the true class of an image based on annotations from individual workers.

  • arn:aws:lambda:us-east-1:432418664414:function:ACS-ImageMultiClass
  • arn:aws:lambda:us-east-2:266458841044:function:ACS-ImageMultiClass
  • arn:aws:lambda:us-west-2:081040173940:function:ACS-ImageMultiClass
  • arn:aws:lambda:eu-west-1:568282634449:function:ACS-ImageMultiClass
  • arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-ImageMultiClass
  • arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-ImageMultiClass
  • arn:aws:lambda:ap-south-1:565803892007:function:ACS-ImageMultiClass
  • arn:aws:lambda:eu-central-1:203001061592:function:ACS-ImageMultiClass
  • arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-ImageMultiClass
  • arn:aws:lambda:eu-west-2:487402164563:function:ACS-ImageMultiClass
  • arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-ImageMultiClass
  • arn:aws:lambda:ca-central-1:918755190332:function:ACS-ImageMultiClass

Multi-label image classification - Uses a variant of the Expectation Maximization approach to estimate the true classes of an image based on annotations from individual workers.

  • arn:aws:lambda:us-east-1:432418664414:function:ACS-ImageMultiClassMultiLabel
  • arn:aws:lambda:us-east-2:266458841044:function:ACS-ImageMultiClassMultiLabel
  • arn:aws:lambda:us-west-2:081040173940:function:ACS-ImageMultiClassMultiLabel
  • arn:aws:lambda:eu-west-1:568282634449:function:ACS-ImageMultiClassMultiLabel
  • arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-ImageMultiClassMultiLabel
  • arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-ImageMultiClassMultiLabel
  • arn:aws:lambda:ap-south-1:565803892007:function:ACS-ImageMultiClassMultiLabel
  • arn:aws:lambda:eu-central-1:203001061592:function:ACS-ImageMultiClassMultiLabel
  • arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-ImageMultiClassMultiLabel
  • arn:aws:lambda:eu-west-2:487402164563:function:ACS-ImageMultiClassMultiLabel
  • arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-ImageMultiClassMultiLabel
  • arn:aws:lambda:ca-central-1:918755190332:function:ACS-ImageMultiClassMultiLabel

Semantic segmentation - Treats each pixel in an image as a multi-class classification and treats pixel annotations from workers as "votes" for the correct label.

  • arn:aws:lambda:us-east-1:432418664414:function:ACS-SemanticSegmentation
  • arn:aws:lambda:us-east-2:266458841044:function:ACS-SemanticSegmentation
  • arn:aws:lambda:us-west-2:081040173940:function:ACS-SemanticSegmentation
  • arn:aws:lambda:eu-west-1:568282634449:function:ACS-SemanticSegmentation
  • arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-SemanticSegmentation
  • arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-SemanticSegmentation
  • arn:aws:lambda:ap-south-1:565803892007:function:ACS-SemanticSegmentation
  • arn:aws:lambda:eu-central-1:203001061592:function:ACS-SemanticSegmentation
  • arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-SemanticSegmentation
  • arn:aws:lambda:eu-west-2:487402164563:function:ACS-SemanticSegmentation
  • arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-SemanticSegmentation
  • arn:aws:lambda:ca-central-1:918755190332:function:ACS-SemanticSegmentation

Text classification - Uses a variant of the Expectation Maximization approach to estimate the true class of text based on annotations from individual workers.

  • arn:aws:lambda:us-east-1:432418664414:function:ACS-TextMultiClass
  • arn:aws:lambda:us-east-2:266458841044:function:ACS-TextMultiClass
  • arn:aws:lambda:us-west-2:081040173940:function:ACS-TextMultiClass
  • arn:aws:lambda:eu-west-1:568282634449:function:ACS-TextMultiClass
  • arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-TextMultiClass
  • arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-TextMultiClass
  • arn:aws:lambda:ap-south-1:565803892007:function:ACS-TextMultiClass
  • arn:aws:lambda:eu-central-1:203001061592:function:ACS-TextMultiClass
  • arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-TextMultiClass
  • arn:aws:lambda:eu-west-2:487402164563:function:ACS-TextMultiClass
  • arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-TextMultiClass
  • arn:aws:lambda:ca-central-1:918755190332:function:ACS-TextMultiClass

Multi-label text classification - Uses a variant of the Expectation Maximization approach to estimate the true classes of text based on annotations from individual workers.

  • arn:aws:lambda:us-east-1:432418664414:function:ACS-TextMultiClassMultiLabel
  • arn:aws:lambda:us-east-2:266458841044:function:ACS-TextMultiClassMultiLabel
  • arn:aws:lambda:us-west-2:081040173940:function:ACS-TextMultiClassMultiLabel
  • arn:aws:lambda:eu-west-1:568282634449:function:ACS-TextMultiClassMultiLabel
  • arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-TextMultiClassMultiLabel
  • arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-TextMultiClassMultiLabel
  • arn:aws:lambda:ap-south-1:565803892007:function:ACS-TextMultiClassMultiLabel
  • arn:aws:lambda:eu-central-1:203001061592:function:ACS-TextMultiClassMultiLabel
  • arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-TextMultiClassMultiLabel
  • arn:aws:lambda:eu-west-2:487402164563:function:ACS-TextMultiClassMultiLabel
  • arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-TextMultiClassMultiLabel
  • arn:aws:lambda:ca-central-1:918755190332:function:ACS-TextMultiClassMultiLabel

Named entity recognition - Groups similar selections and calculates aggregate boundaries, resolving to most-assigned label.

  • arn:aws:lambda:us-east-1:432418664414:function:ACS-NamedEntityRecognition
  • arn:aws:lambda:us-east-2:266458841044:function:ACS-NamedEntityRecognition
  • arn:aws:lambda:us-west-2:081040173940:function:ACS-NamedEntityRecognition
  • arn:aws:lambda:eu-west-1:568282634449:function:ACS-NamedEntityRecognition
  • arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-NamedEntityRecognition
  • arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-NamedEntityRecognition
  • arn:aws:lambda:ap-south-1:565803892007:function:ACS-NamedEntityRecognition
  • arn:aws:lambda:eu-central-1:203001061592:function:ACS-NamedEntityRecognition
  • arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-NamedEntityRecognition
  • arn:aws:lambda:eu-west-2:487402164563:function:ACS-NamedEntityRecognition
  • arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-NamedEntityRecognition
  • arn:aws:lambda:ca-central-1:918755190332:function:ACS-NamedEntityRecognition

Video Classification - Use this task type when you need workers to classify videos using predefined labels that you specify. Workers are shown videos and are asked to choose one label for each video.

  • arn:aws:lambda:us-east-1:432418664414:function:ACS-VideoMultiClass
  • arn:aws:lambda:us-east-2:266458841044:function:ACS-VideoMultiClass
  • arn:aws:lambda:us-west-2:081040173940:function:ACS-VideoMultiClass
  • arn:aws:lambda:eu-west-1:568282634449:function:ACS-VideoMultiClass
  • arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-VideoMultiClass
  • arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-VideoMultiClass
  • arn:aws:lambda:ap-south-1:565803892007:function:ACS-VideoMultiClass
  • arn:aws:lambda:eu-central-1:203001061592:function:ACS-VideoMultiClass
  • arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-VideoMultiClass
  • arn:aws:lambda:eu-west-2:487402164563:function:ACS-VideoMultiClass
  • arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-VideoMultiClass
  • arn:aws:lambda:ca-central-1:918755190332:function:ACS-VideoMultiClass

Video Frame Object Detection - Use this task type to have workers identify and locate objects in a sequence of video frames (images extracted from a video) using bounding boxes. For example, you can use this task to ask workers to identify and localize various objects in a series of video frames, such as cars, bikes, and pedestrians.

  • arn:aws:lambda:us-east-1:432418664414:function:ACS-VideoObjectDetection
  • arn:aws:lambda:us-east-2:266458841044:function:ACS-VideoObjectDetection
  • arn:aws:lambda:us-west-2:081040173940:function:ACS-VideoObjectDetection
  • arn:aws:lambda:eu-west-1:568282634449:function:ACS-VideoObjectDetection
  • arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-VideoObjectDetection
  • arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-VideoObjectDetection
  • arn:aws:lambda:ap-south-1:565803892007:function:ACS-VideoObjectDetection
  • arn:aws:lambda:eu-central-1:203001061592:function:ACS-VideoObjectDetection
  • arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-VideoObjectDetection
  • arn:aws:lambda:eu-west-2:487402164563:function:ACS-VideoObjectDetection
  • arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-VideoObjectDetection
  • arn:aws:lambda:ca-central-1:918755190332:function:ACS-VideoObjectDetection

Video Frame Object Tracking - Use this task type to have workers track the movement of objects in a sequence of video frames (images extracted from a video) using bounding boxes. For example, you can use this task to ask workers to track the movement of objects, such as cars, bikes, and pedestrians.

  • arn:aws:lambda:us-east-1:432418664414:function:ACS-VideoObjectTracking
  • arn:aws:lambda:us-east-2:266458841044:function:ACS-VideoObjectTracking
  • arn:aws:lambda:us-west-2:081040173940:function:ACS-VideoObjectTracking
  • arn:aws:lambda:eu-west-1:568282634449:function:ACS-VideoObjectTracking
  • arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-VideoObjectTracking
  • arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-VideoObjectTracking
  • arn:aws:lambda:ap-south-1:565803892007:function:ACS-VideoObjectTracking
  • arn:aws:lambda:eu-central-1:203001061592:function:ACS-VideoObjectTracking
  • arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-VideoObjectTracking
  • arn:aws:lambda:eu-west-2:487402164563:function:ACS-VideoObjectTracking
  • arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-VideoObjectTracking
  • arn:aws:lambda:ca-central-1:918755190332:function:ACS-VideoObjectTracking

3D Point Cloud Object Detection - Use this task type when you want workers to classify objects in a 3D point cloud by drawing 3D cuboids around objects. For example, you can use this task type to ask workers to identify different types of objects in a point cloud, such as cars, bikes, and pedestrians.

  • arn:aws:lambda:us-east-1:432418664414:function:ACS-3DPointCloudObjectDetection
  • arn:aws:lambda:us-east-2:266458841044:function:ACS-3DPointCloudObjectDetection
  • arn:aws:lambda:us-west-2:081040173940:function:ACS-3DPointCloudObjectDetection
  • arn:aws:lambda:eu-west-1:568282634449:function:ACS-3DPointCloudObjectDetection
  • arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-3DPointCloudObjectDetection
  • arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-3DPointCloudObjectDetection
  • arn:aws:lambda:ap-south-1:565803892007:function:ACS-3DPointCloudObjectDetection
  • arn:aws:lambda:eu-central-1:203001061592:function:ACS-3DPointCloudObjectDetection
  • arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-3DPointCloudObjectDetection
  • arn:aws:lambda:eu-west-2:487402164563:function:ACS-3DPointCloudObjectDetection
  • arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-3DPointCloudObjectDetection
  • arn:aws:lambda:ca-central-1:918755190332:function:ACS-3DPointCloudObjectDetection

3D Point Cloud Object Tracking - Use this task type when you want workers to draw 3D cuboids around objects that appear in a sequence of 3D point cloud frames. For example, you can use this task type to ask workers to track the movement of vehicles across multiple point cloud frames.

  • arn:aws:lambda:us-east-1:432418664414:function:ACS-3DPointCloudObjectTracking
  • arn:aws:lambda:us-east-2:266458841044:function:ACS-3DPointCloudObjectTracking
  • arn:aws:lambda:us-west-2:081040173940:function:ACS-3DPointCloudObjectTracking
  • arn:aws:lambda:eu-west-1:568282634449:function:ACS-3DPointCloudObjectTracking
  • arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-3DPointCloudObjectTracking
  • arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-3DPointCloudObjectTracking
  • arn:aws:lambda:ap-south-1:565803892007:function:ACS-3DPointCloudObjectTracking
  • arn:aws:lambda:eu-central-1:203001061592:function:ACS-3DPointCloudObjectTracking
  • arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-3DPointCloudObjectTracking
  • arn:aws:lambda:eu-west-2:487402164563:function:ACS-3DPointCloudObjectTracking
  • arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-3DPointCloudObjectTracking
  • arn:aws:lambda:ca-central-1:918755190332:function:ACS-3DPointCloudObjectTracking

3D Point Cloud Semantic Segmentation - Use this task type when you want workers to create a point-level semantic segmentation masks by painting objects in a 3D point cloud using different colors where each color is assigned to one of the classes you specify.

  • arn:aws:lambda:us-east-1:432418664414:function:ACS-3DPointCloudSemanticSegmentation
  • arn:aws:lambda:us-east-2:266458841044:function:ACS-3DPointCloudSemanticSegmentation
  • arn:aws:lambda:us-west-2:081040173940:function:ACS-3DPointCloudSemanticSegmentation
  • arn:aws:lambda:eu-west-1:568282634449:function:ACS-3DPointCloudSemanticSegmentation
  • arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-3DPointCloudSemanticSegmentation
  • arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-3DPointCloudSemanticSegmentation
  • arn:aws:lambda:ap-south-1:565803892007:function:ACS-3DPointCloudSemanticSegmentation
  • arn:aws:lambda:eu-central-1:203001061592:function:ACS-3DPointCloudSemanticSegmentation
  • arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-3DPointCloudSemanticSegmentation
  • arn:aws:lambda:eu-west-2:487402164563:function:ACS-3DPointCloudSemanticSegmentation
  • arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-3DPointCloudSemanticSegmentation
  • arn:aws:lambda:ca-central-1:918755190332:function:ACS-3DPointCloudSemanticSegmentation

Use the following ARNs for Label Verification and Adjustment Jobs

Use label verification and adjustment jobs to review and adjust labels. To learn more, see Verify and Adjust Labels .

Semantic Segmentation Adjustment - Treats each pixel in an image as a multi-class classification and treats pixel adjusted annotations from workers as "votes" for the correct label.

  • arn:aws:lambda:us-east-1:432418664414:function:ACS-AdjustmentSemanticSegmentation
  • arn:aws:lambda:us-east-2:266458841044:function:ACS-AdjustmentSemanticSegmentation
  • arn:aws:lambda:us-west-2:081040173940:function:ACS-AdjustmentSemanticSegmentation
  • arn:aws:lambda:eu-west-1:568282634449:function:ACS-AdjustmentSemanticSegmentation
  • arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-AdjustmentSemanticSegmentation
  • arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-AdjustmentSemanticSegmentation
  • arn:aws:lambda:ap-south-1:565803892007:function:ACS-AdjustmentSemanticSegmentation
  • arn:aws:lambda:eu-central-1:203001061592:function:ACS-AdjustmentSemanticSegmentation
  • arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-AdjustmentSemanticSegmentation
  • arn:aws:lambda:eu-west-2:487402164563:function:ACS-AdjustmentSemanticSegmentation
  • arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-AdjustmentSemanticSegmentation
  • arn:aws:lambda:ca-central-1:918755190332:function:ACS-AdjustmentSemanticSegmentation

Semantic Segmentation Verification - Uses a variant of the Expectation Maximization approach to estimate the true class of verification judgment for semantic segmentation labels based on annotations from individual workers.

  • arn:aws:lambda:us-east-1:432418664414:function:ACS-VerificationSemanticSegmentation
  • arn:aws:lambda:us-east-2:266458841044:function:ACS-VerificationSemanticSegmentation
  • arn:aws:lambda:us-west-2:081040173940:function:ACS-VerificationSemanticSegmentation
  • arn:aws:lambda:eu-west-1:568282634449:function:ACS-VerificationSemanticSegmentation
  • arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-VerificationSemanticSegmentation
  • arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-VerificationSemanticSegmentation
  • arn:aws:lambda:ap-south-1:565803892007:function:ACS-VerificationSemanticSegmentation
  • arn:aws:lambda:eu-central-1:203001061592:function:ACS-VerificationSemanticSegmentation
  • arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-VerificationSemanticSegmentation
  • arn:aws:lambda:eu-west-2:487402164563:function:ACS-VerificationSemanticSegmentation
  • arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-VerificationSemanticSegmentation
  • arn:aws:lambda:ca-central-1:918755190332:function:ACS-VerificationSemanticSegmentation

Bounding Box Adjustment - Finds the most similar boxes from different workers based on the Jaccard index of the adjusted annotations.

  • arn:aws:lambda:us-east-1:432418664414:function:ACS-AdjustmentBoundingBox
  • arn:aws:lambda:us-east-2:266458841044:function:ACS-AdjustmentBoundingBox
  • arn:aws:lambda:us-west-2:081040173940:function:ACS-AdjustmentBoundingBox
  • arn:aws:lambda:eu-west-1:568282634449:function:ACS-AdjustmentBoundingBox
  • arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-AdjustmentBoundingBox
  • arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-AdjustmentBoundingBox
  • arn:aws:lambda:ap-south-1:565803892007:function:ACS-AdjustmentBoundingBox
  • arn:aws:lambda:eu-central-1:203001061592:function:ACS-AdjustmentBoundingBox
  • arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-AdjustmentBoundingBox
  • arn:aws:lambda:eu-west-2:487402164563:function:ACS-AdjustmentBoundingBox
  • arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-AdjustmentBoundingBox
  • arn:aws:lambda:ca-central-1:918755190332:function:ACS-AdjustmentBoundingBox

Bounding Box Verification - Uses a variant of the Expectation Maximization approach to estimate the true class of verification judgement for bounding box labels based on annotations from individual workers.

  • arn:aws:lambda:us-east-1:432418664414:function:ACS-VerificationBoundingBox
  • arn:aws:lambda:us-east-2:266458841044:function:ACS-VerificationBoundingBox
  • arn:aws:lambda:us-west-2:081040173940:function:ACS-VerificationBoundingBox
  • arn:aws:lambda:eu-west-1:568282634449:function:ACS-VerificationBoundingBox
  • arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-VerificationBoundingBox
  • arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-VerificationBoundingBox
  • arn:aws:lambda:ap-south-1:565803892007:function:ACS-VerificationBoundingBox
  • arn:aws:lambda:eu-central-1:203001061592:function:ACS-VerificationBoundingBox
  • arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-VerificationBoundingBox
  • arn:aws:lambda:eu-west-2:487402164563:function:ACS-VerificationBoundingBox
  • arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-VerificationBoundingBox
  • arn:aws:lambda:ca-central-1:918755190332:function:ACS-VerificationBoundingBox

Video Frame Object Detection Adjustment - Use this task type when you want workers to adjust bounding boxes that workers have added to video frames to classify and localize objects in a sequence of video frames.

  • arn:aws:lambda:us-east-1:432418664414:function:ACS-AdjustmentVideoObjectDetection
  • arn:aws:lambda:us-east-2:266458841044:function:ACS-AdjustmentVideoObjectDetection
  • arn:aws:lambda:us-west-2:081040173940:function:ACS-AdjustmentVideoObjectDetection
  • arn:aws:lambda:eu-west-1:568282634449:function:ACS-AdjustmentVideoObjectDetection
  • arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-AdjustmentVideoObjectDetection
  • arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-AdjustmentVideoObjectDetection
  • arn:aws:lambda:ap-south-1:565803892007:function:ACS-AdjustmentVideoObjectDetection
  • arn:aws:lambda:eu-central-1:203001061592:function:ACS-AdjustmentVideoObjectDetection
  • arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-AdjustmentVideoObjectDetection
  • arn:aws:lambda:eu-west-2:487402164563:function:ACS-AdjustmentVideoObjectDetection
  • arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-AdjustmentVideoObjectDetection
  • arn:aws:lambda:ca-central-1:918755190332:function:ACS-AdjustmentVideoObjectDetection

Video Frame Object Tracking Adjustment - Use this task type when you want workers to adjust bounding boxes that workers have added to video frames to track object movement across a sequence of video frames.

  • arn:aws:lambda:us-east-1:432418664414:function:ACS-AdjustmentVideoObjectTracking
  • arn:aws:lambda:us-east-2:266458841044:function:ACS-AdjustmentVideoObjectTracking
  • arn:aws:lambda:us-west-2:081040173940:function:ACS-AdjustmentVideoObjectTracking
  • arn:aws:lambda:eu-west-1:568282634449:function:ACS-AdjustmentVideoObjectTracking
  • arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-AdjustmentVideoObjectTracking
  • arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-AdjustmentVideoObjectTracking
  • arn:aws:lambda:ap-south-1:565803892007:function:ACS-AdjustmentVideoObjectTracking
  • arn:aws:lambda:eu-central-1:203001061592:function:ACS-AdjustmentVideoObjectTracking
  • arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-AdjustmentVideoObjectTracking
  • arn:aws:lambda:eu-west-2:487402164563:function:ACS-AdjustmentVideoObjectTracking
  • arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-AdjustmentVideoObjectTracking
  • arn:aws:lambda:ca-central-1:918755190332:function:ACS-AdjustmentVideoObjectTracking

3D Point Cloud Object Detection Adjustment - Use this task type when you want workers to adjust 3D cuboids around objects in a 3D point cloud.

  • arn:aws:lambda:us-east-1:432418664414:function:ACS-Adjustment3DPointCloudObjectDetection
  • arn:aws:lambda:us-east-2:266458841044:function:ACS-Adjustment3DPointCloudObjectDetection
  • arn:aws:lambda:us-west-2:081040173940:function:ACS-Adjustment3DPointCloudObjectDetection
  • arn:aws:lambda:eu-west-1:568282634449:function:ACS-Adjustment3DPointCloudObjectDetection
  • arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-Adjustment3DPointCloudObjectDetection
  • arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-Adjustment3DPointCloudObjectDetection
  • arn:aws:lambda:ap-south-1:565803892007:function:ACS-Adjustment3DPointCloudObjectDetection
  • arn:aws:lambda:eu-central-1:203001061592:function:ACS-Adjustment3DPointCloudObjectDetection
  • arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-Adjustment3DPointCloudObjectDetection
  • arn:aws:lambda:eu-west-2:487402164563:function:ACS-Adjustment3DPointCloudObjectDetection
  • arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-Adjustment3DPointCloudObjectDetection
  • arn:aws:lambda:ca-central-1:918755190332:function:ACS-Adjustment3DPointCloudObjectDetection

3D Point Cloud Object Tracking Adjustment - Use this task type when you want workers to adjust 3D cuboids around objects that appear in a sequence of 3D point cloud frames.

  • arn:aws:lambda:us-east-1:432418664414:function:ACS-Adjustment3DPointCloudObjectTracking
  • arn:aws:lambda:us-east-2:266458841044:function:ACS-Adjustment3DPointCloudObjectTracking
  • arn:aws:lambda:us-west-2:081040173940:function:ACS-Adjustment3DPointCloudObjectTracking
  • arn:aws:lambda:eu-west-1:568282634449:function:ACS-Adjustment3DPointCloudObjectTracking
  • arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-Adjustment3DPointCloudObjectTracking
  • arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-Adjustment3DPointCloudObjectTracking
  • arn:aws:lambda:ap-south-1:565803892007:function:ACS-Adjustment3DPointCloudObjectTracking
  • arn:aws:lambda:eu-central-1:203001061592:function:ACS-Adjustment3DPointCloudObjectTracking
  • arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-Adjustment3DPointCloudObjectTracking
  • arn:aws:lambda:eu-west-2:487402164563:function:ACS-Adjustment3DPointCloudObjectTracking
  • arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-Adjustment3DPointCloudObjectTracking
  • arn:aws:lambda:ca-central-1:918755190332:function:ACS-Adjustment3DPointCloudObjectTracking

3D Point Cloud Semantic Segmentation Adjustment - Use this task type when you want workers to adjust a point-level semantic segmentation masks using a paint tool.

  • arn:aws:lambda:us-east-1:432418664414:function:ACS-3DPointCloudSemanticSegmentation
  • arn:aws:lambda:us-east-1:432418664414:function:ACS-Adjustment3DPointCloudSemanticSegmentation
  • arn:aws:lambda:us-east-2:266458841044:function:ACS-Adjustment3DPointCloudSemanticSegmentation
  • arn:aws:lambda:us-west-2:081040173940:function:ACS-Adjustment3DPointCloudSemanticSegmentation
  • arn:aws:lambda:eu-west-1:568282634449:function:ACS-Adjustment3DPointCloudSemanticSegmentation
  • arn:aws:lambda:ap-northeast-1:477331159723:function:ACS-Adjustment3DPointCloudSemanticSegmentation
  • arn:aws:lambda:ap-southeast-2:454466003867:function:ACS-Adjustment3DPointCloudSemanticSegmentation
  • arn:aws:lambda:ap-south-1:565803892007:function:ACS-Adjustment3DPointCloudSemanticSegmentation
  • arn:aws:lambda:eu-central-1:203001061592:function:ACS-Adjustment3DPointCloudSemanticSegmentation
  • arn:aws:lambda:ap-northeast-2:845288260483:function:ACS-Adjustment3DPointCloudSemanticSegmentation
  • arn:aws:lambda:eu-west-2:487402164563:function:ACS-Adjustment3DPointCloudSemanticSegmentation
  • arn:aws:lambda:ap-southeast-1:377565633583:function:ACS-Adjustment3DPointCloudSemanticSegmentation
  • arn:aws:lambda:ca-central-1:918755190332:function:ACS-Adjustment3DPointCloudSemanticSegmentation

AppDetails

data AppDetails Source #

Details about an Amazon SageMaker app.

See: newAppDetails smart constructor.

Constructors

AppDetails' 

Fields

Instances

Instances details
FromJSON AppDetails Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AppDetails

Methods

parseJSON :: Value -> Parser AppDetails #

parseJSONList :: Value -> Parser [AppDetails] #

Generic AppDetails Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AppDetails

Associated Types

type Rep AppDetails :: Type -> Type #

Methods

from :: AppDetails -> Rep AppDetails x #

to :: Rep AppDetails x -> AppDetails #

Read AppDetails Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AppDetails

Methods

readsPrec :: Int -> ReadS AppDetails #

readList :: ReadS [AppDetails] #

readPrec :: ReadPrec AppDetails #

readListPrec :: ReadPrec [AppDetails] #

Show AppDetails Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AppDetails

Methods

showsPrec :: Int -> AppDetails -> ShowS #

show :: AppDetails -> String #

showList :: [AppDetails] -> ShowS #

NFData AppDetails Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AppDetails

Methods

rnf :: AppDetails -> () #

Eq AppDetails Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AppDetails

Methods

(==) :: AppDetails -> AppDetails -> Bool #

(/=) :: AppDetails -> AppDetails -> Bool #

Hashable AppDetails Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AppDetails

Methods

hashWithSalt :: Int -> AppDetails -> Int #

hash :: AppDetails -> Int #

type Rep AppDetails Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AppDetails

type Rep AppDetails = D1 ('MetaData "AppDetails" "Amazonka.SageMaker.Types.AppDetails" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "AppDetails'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "appName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: (S1 ('MetaSel ('Just "appType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe AppType)) :*: S1 ('MetaSel ('Just "creationTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)))) :*: ((S1 ('MetaSel ('Just "domainId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "spaceName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))) :*: (S1 ('MetaSel ('Just "status") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe AppStatus)) :*: S1 ('MetaSel ('Just "userProfileName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))))

newAppDetails :: AppDetails Source #

Create a value of AppDetails with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:appName:AppDetails', appDetails_appName - The name of the app.

$sel:appType:AppDetails', appDetails_appType - The type of app.

$sel:creationTime:AppDetails', appDetails_creationTime - The creation time.

$sel:domainId:AppDetails', appDetails_domainId - The domain ID.

$sel:spaceName:AppDetails', appDetails_spaceName - The name of the space.

$sel:status:AppDetails', appDetails_status - The status.

$sel:userProfileName:AppDetails', appDetails_userProfileName - The user profile name.

appDetails_appName :: Lens' AppDetails (Maybe Text) Source #

The name of the app.

appDetails_appType :: Lens' AppDetails (Maybe AppType) Source #

The type of app.

appDetails_creationTime :: Lens' AppDetails (Maybe UTCTime) Source #

The creation time.

appDetails_domainId :: Lens' AppDetails (Maybe Text) Source #

The domain ID.

appDetails_spaceName :: Lens' AppDetails (Maybe Text) Source #

The name of the space.

appDetails_status :: Lens' AppDetails (Maybe AppStatus) Source #

The status.

appDetails_userProfileName :: Lens' AppDetails (Maybe Text) Source #

The user profile name.

AppImageConfigDetails

data AppImageConfigDetails Source #

The configuration for running a SageMaker image as a KernelGateway app.

See: newAppImageConfigDetails smart constructor.

Constructors

AppImageConfigDetails' 

Fields

Instances

Instances details
FromJSON AppImageConfigDetails Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AppImageConfigDetails

Methods

parseJSON :: Value -> Parser AppImageConfigDetails #

parseJSONList :: Value -> Parser [AppImageConfigDetails] #

Generic AppImageConfigDetails Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AppImageConfigDetails

Associated Types

type Rep AppImageConfigDetails :: Type -> Type #

Methods

from :: AppImageConfigDetails -> Rep AppImageConfigDetails x #

to :: Rep AppImageConfigDetails x -> AppImageConfigDetails #

Read AppImageConfigDetails Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AppImageConfigDetails

Methods

readsPrec :: Int -> ReadS AppImageConfigDetails #

readList :: ReadS [AppImageConfigDetails] #

readPrec :: ReadPrec AppImageConfigDetails #

readListPrec :: ReadPrec [AppImageConfigDetails] #

Show AppImageConfigDetails Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AppImageConfigDetails

Methods

showsPrec :: Int -> AppImageConfigDetails -> ShowS #

show :: AppImageConfigDetails -> String #

showList :: [AppImageConfigDetails] -> ShowS #

NFData AppImageConfigDetails Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AppImageConfigDetails

Methods

rnf :: AppImageConfigDetails -> () #

Eq AppImageConfigDetails Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AppImageConfigDetails

Methods

(==) :: AppImageConfigDetails -> AppImageConfigDetails -> Bool #

(/=) :: AppImageConfigDetails -> AppImageConfigDetails -> Bool #

Hashable AppImageConfigDetails Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AppImageConfigDetails

Methods

hashWithSalt :: Int -> AppImageConfigDetails -> Int #

hash :: AppImageConfigDetails -> Int #

type Rep AppImageConfigDetails Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AppImageConfigDetails

type Rep AppImageConfigDetails = D1 ('MetaData "AppImageConfigDetails" "Amazonka.SageMaker.Types.AppImageConfigDetails" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "AppImageConfigDetails'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "appImageConfigArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "appImageConfigName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))) :*: (S1 ('MetaSel ('Just "creationTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :*: (S1 ('MetaSel ('Just "kernelGatewayImageConfig") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe KernelGatewayImageConfig)) :*: S1 ('MetaSel ('Just "lastModifiedTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX))))))

newAppImageConfigDetails :: AppImageConfigDetails Source #

Create a value of AppImageConfigDetails with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:appImageConfigArn:AppImageConfigDetails', appImageConfigDetails_appImageConfigArn - The Amazon Resource Name (ARN) of the AppImageConfig.

$sel:appImageConfigName:AppImageConfigDetails', appImageConfigDetails_appImageConfigName - The name of the AppImageConfig. Must be unique to your account.

$sel:creationTime:AppImageConfigDetails', appImageConfigDetails_creationTime - When the AppImageConfig was created.

$sel:kernelGatewayImageConfig:AppImageConfigDetails', appImageConfigDetails_kernelGatewayImageConfig - The configuration for the file system and kernels in the SageMaker image.

$sel:lastModifiedTime:AppImageConfigDetails', appImageConfigDetails_lastModifiedTime - When the AppImageConfig was last modified.

appImageConfigDetails_appImageConfigArn :: Lens' AppImageConfigDetails (Maybe Text) Source #

The Amazon Resource Name (ARN) of the AppImageConfig.

appImageConfigDetails_appImageConfigName :: Lens' AppImageConfigDetails (Maybe Text) Source #

The name of the AppImageConfig. Must be unique to your account.

appImageConfigDetails_creationTime :: Lens' AppImageConfigDetails (Maybe UTCTime) Source #

When the AppImageConfig was created.

appImageConfigDetails_kernelGatewayImageConfig :: Lens' AppImageConfigDetails (Maybe KernelGatewayImageConfig) Source #

The configuration for the file system and kernels in the SageMaker image.

appImageConfigDetails_lastModifiedTime :: Lens' AppImageConfigDetails (Maybe UTCTime) Source #

When the AppImageConfig was last modified.

AppSpecification

data AppSpecification Source #

Configuration to run a processing job in a specified container image.

See: newAppSpecification smart constructor.

Constructors

AppSpecification' 

Fields

Instances

Instances details
FromJSON AppSpecification Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AppSpecification

Methods

parseJSON :: Value -> Parser AppSpecification #

parseJSONList :: Value -> Parser [AppSpecification] #

ToJSON AppSpecification Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AppSpecification

Methods

toJSON :: AppSpecification -> Value #

toEncoding :: AppSpecification -> Encoding #

toJSONList :: [AppSpecification] -> Value #

toEncodingList :: [AppSpecification] -> Encoding #

Generic AppSpecification Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AppSpecification

Associated Types

type Rep AppSpecification :: Type -> Type #

Methods

from :: AppSpecification -> Rep AppSpecification x #

to :: Rep AppSpecification x -> AppSpecification #

Read AppSpecification Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AppSpecification

Methods

readsPrec :: Int -> ReadS AppSpecification #

readList :: ReadS [AppSpecification] #

readPrec :: ReadPrec AppSpecification #

readListPrec :: ReadPrec [AppSpecification] #

Show AppSpecification Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AppSpecification

Methods

showsPrec :: Int -> AppSpecification -> ShowS #

show :: AppSpecification -> String #

showList :: [AppSpecification] -> ShowS #

NFData AppSpecification Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AppSpecification

Methods

rnf :: AppSpecification -> () #

Eq AppSpecification Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AppSpecification

Methods

(==) :: AppSpecification -> AppSpecification -> Bool #

(/=) :: AppSpecification -> AppSpecification -> Bool #

Hashable AppSpecification Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AppSpecification

Methods

hashWithSalt :: Int -> AppSpecification -> Int #

hash :: AppSpecification -> Int #

type Rep AppSpecification Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AppSpecification

type Rep AppSpecification = D1 ('MetaData "AppSpecification" "Amazonka.SageMaker.Types.AppSpecification" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "AppSpecification'" 'PrefixI 'True) (S1 ('MetaSel ('Just "containerArguments") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe (NonEmpty Text))) :*: (S1 ('MetaSel ('Just "containerEntrypoint") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe (NonEmpty Text))) :*: S1 ('MetaSel ('Just "imageUri") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text))))

newAppSpecification Source #

Arguments

:: Text

$sel:imageUri:AppSpecification'

-> AppSpecification 

Create a value of AppSpecification with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:containerArguments:AppSpecification', appSpecification_containerArguments - The arguments for a container used to run a processing job.

$sel:containerEntrypoint:AppSpecification', appSpecification_containerEntrypoint - The entrypoint for a container used to run a processing job.

$sel:imageUri:AppSpecification', appSpecification_imageUri - The container image to be run by the processing job.

appSpecification_containerArguments :: Lens' AppSpecification (Maybe (NonEmpty Text)) Source #

The arguments for a container used to run a processing job.

appSpecification_containerEntrypoint :: Lens' AppSpecification (Maybe (NonEmpty Text)) Source #

The entrypoint for a container used to run a processing job.

appSpecification_imageUri :: Lens' AppSpecification Text Source #

The container image to be run by the processing job.

ArtifactSource

data ArtifactSource Source #

A structure describing the source of an artifact.

See: newArtifactSource smart constructor.

Constructors

ArtifactSource' 

Fields

Instances

Instances details
FromJSON ArtifactSource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ArtifactSource

Methods

parseJSON :: Value -> Parser ArtifactSource #

parseJSONList :: Value -> Parser [ArtifactSource] #

ToJSON ArtifactSource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ArtifactSource

Methods

toJSON :: ArtifactSource -> Value #

toEncoding :: ArtifactSource -> Encoding #

toJSONList :: [ArtifactSource] -> Value #

toEncodingList :: [ArtifactSource] -> Encoding #

Generic ArtifactSource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ArtifactSource

Associated Types

type Rep ArtifactSource :: Type -> Type #

Methods

from :: ArtifactSource -> Rep ArtifactSource x #

to :: Rep ArtifactSource x -> ArtifactSource #

Read ArtifactSource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ArtifactSource

Methods

readsPrec :: Int -> ReadS ArtifactSource #

readList :: ReadS [ArtifactSource] #

readPrec :: ReadPrec ArtifactSource #

readListPrec :: ReadPrec [ArtifactSource] #

Show ArtifactSource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ArtifactSource

Methods

showsPrec :: Int -> ArtifactSource -> ShowS #

show :: ArtifactSource -> String #

showList :: [ArtifactSource] -> ShowS #

NFData ArtifactSource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ArtifactSource

Methods

rnf :: ArtifactSource -> () #

Eq ArtifactSource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ArtifactSource

Methods

(==) :: ArtifactSource -> ArtifactSource -> Bool #

(/=) :: ArtifactSource -> ArtifactSource -> Bool #

Hashable ArtifactSource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ArtifactSource

Methods

hashWithSalt :: Int -> ArtifactSource -> Int #

hash :: ArtifactSource -> Int #

type Rep ArtifactSource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ArtifactSource

type Rep ArtifactSource = D1 ('MetaData "ArtifactSource" "Amazonka.SageMaker.Types.ArtifactSource" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "ArtifactSource'" 'PrefixI 'True) (S1 ('MetaSel ('Just "sourceTypes") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [ArtifactSourceType])) :*: S1 ('MetaSel ('Just "sourceUri") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))

newArtifactSource Source #

Arguments

:: Text

$sel:sourceUri:ArtifactSource'

-> ArtifactSource 

Create a value of ArtifactSource with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:sourceTypes:ArtifactSource', artifactSource_sourceTypes - A list of source types.

$sel:sourceUri:ArtifactSource', artifactSource_sourceUri - The URI of the source.

artifactSource_sourceTypes :: Lens' ArtifactSource (Maybe [ArtifactSourceType]) Source #

A list of source types.

artifactSource_sourceUri :: Lens' ArtifactSource Text Source #

The URI of the source.

ArtifactSourceType

data ArtifactSourceType Source #

The ID and ID type of an artifact source.

See: newArtifactSourceType smart constructor.

Constructors

ArtifactSourceType' 

Fields

Instances

Instances details
FromJSON ArtifactSourceType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ArtifactSourceType

Methods

parseJSON :: Value -> Parser ArtifactSourceType #

parseJSONList :: Value -> Parser [ArtifactSourceType] #

ToJSON ArtifactSourceType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ArtifactSourceType

Methods

toJSON :: ArtifactSourceType -> Value #

toEncoding :: ArtifactSourceType -> Encoding #

toJSONList :: [ArtifactSourceType] -> Value #

toEncodingList :: [ArtifactSourceType] -> Encoding #

Generic ArtifactSourceType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ArtifactSourceType

Associated Types

type Rep ArtifactSourceType :: Type -> Type #

Methods

from :: ArtifactSourceType -> Rep ArtifactSourceType x #

to :: Rep ArtifactSourceType x -> ArtifactSourceType #

Read ArtifactSourceType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ArtifactSourceType

Methods

readsPrec :: Int -> ReadS ArtifactSourceType #

readList :: ReadS [ArtifactSourceType] #

readPrec :: ReadPrec ArtifactSourceType #

readListPrec :: ReadPrec [ArtifactSourceType] #

Show ArtifactSourceType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ArtifactSourceType

Methods

showsPrec :: Int -> ArtifactSourceType -> ShowS #

show :: ArtifactSourceType -> String #

showList :: [ArtifactSourceType] -> ShowS #

NFData ArtifactSourceType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ArtifactSourceType

Methods

rnf :: ArtifactSourceType -> () #

Eq ArtifactSourceType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ArtifactSourceType

Methods

(==) :: ArtifactSourceType -> ArtifactSourceType -> Bool #

(/=) :: ArtifactSourceType -> ArtifactSourceType -> Bool #

Hashable ArtifactSourceType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ArtifactSourceType

Methods

hashWithSalt :: Int -> ArtifactSourceType -> Int #

hash :: ArtifactSourceType -> Int #

type Rep ArtifactSourceType Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ArtifactSourceType

type Rep ArtifactSourceType = D1 ('MetaData "ArtifactSourceType" "Amazonka.SageMaker.Types.ArtifactSourceType" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "ArtifactSourceType'" 'PrefixI 'True) (S1 ('MetaSel ('Just "sourceIdType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 ArtifactSourceIdType) :*: S1 ('MetaSel ('Just "value") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))

newArtifactSourceType Source #

Arguments

:: ArtifactSourceIdType

$sel:sourceIdType:ArtifactSourceType'

-> Text

$sel:value:ArtifactSourceType'

-> ArtifactSourceType 

Create a value of ArtifactSourceType with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:sourceIdType:ArtifactSourceType', artifactSourceType_sourceIdType - The type of ID.

$sel:value:ArtifactSourceType', artifactSourceType_value - The ID.

artifactSourceType_sourceIdType :: Lens' ArtifactSourceType ArtifactSourceIdType Source #

The type of ID.

artifactSourceType_value :: Lens' ArtifactSourceType Text Source #

The ID.

ArtifactSummary

data ArtifactSummary Source #

Lists a summary of the properties of an artifact. An artifact represents a URI addressable object or data. Some examples are a dataset and a model.

See: newArtifactSummary smart constructor.

Constructors

ArtifactSummary' 

Fields

Instances

Instances details
FromJSON ArtifactSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ArtifactSummary

Methods

parseJSON :: Value -> Parser ArtifactSummary #

parseJSONList :: Value -> Parser [ArtifactSummary] #

Generic ArtifactSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ArtifactSummary

Associated Types

type Rep ArtifactSummary :: Type -> Type #

Methods

from :: ArtifactSummary -> Rep ArtifactSummary x #

to :: Rep ArtifactSummary x -> ArtifactSummary #

Read ArtifactSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ArtifactSummary

Methods

readsPrec :: Int -> ReadS ArtifactSummary #

readList :: ReadS [ArtifactSummary] #

readPrec :: ReadPrec ArtifactSummary #

readListPrec :: ReadPrec [ArtifactSummary] #

Show ArtifactSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ArtifactSummary

Methods

showsPrec :: Int -> ArtifactSummary -> ShowS #

show :: ArtifactSummary -> String #

showList :: [ArtifactSummary] -> ShowS #

NFData ArtifactSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ArtifactSummary

Methods

rnf :: ArtifactSummary -> () #

Eq ArtifactSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ArtifactSummary

Methods

(==) :: ArtifactSummary -> ArtifactSummary -> Bool #

(/=) :: ArtifactSummary -> ArtifactSummary -> Bool #

Hashable ArtifactSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ArtifactSummary

Methods

hashWithSalt :: Int -> ArtifactSummary -> Int #

hash :: ArtifactSummary -> Int #

type Rep ArtifactSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ArtifactSummary

type Rep ArtifactSummary = D1 ('MetaData "ArtifactSummary" "Amazonka.SageMaker.Types.ArtifactSummary" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "ArtifactSummary'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "artifactArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: (S1 ('MetaSel ('Just "artifactName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "artifactType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))) :*: (S1 ('MetaSel ('Just "creationTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :*: (S1 ('MetaSel ('Just "lastModifiedTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :*: S1 ('MetaSel ('Just "source") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ArtifactSource))))))

newArtifactSummary :: ArtifactSummary Source #

Create a value of ArtifactSummary with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:artifactArn:ArtifactSummary', artifactSummary_artifactArn - The Amazon Resource Name (ARN) of the artifact.

$sel:artifactName:ArtifactSummary', artifactSummary_artifactName - The name of the artifact.

$sel:artifactType:ArtifactSummary', artifactSummary_artifactType - The type of the artifact.

$sel:creationTime:ArtifactSummary', artifactSummary_creationTime - When the artifact was created.

$sel:lastModifiedTime:ArtifactSummary', artifactSummary_lastModifiedTime - When the artifact was last modified.

$sel:source:ArtifactSummary', artifactSummary_source - The source of the artifact.

artifactSummary_artifactArn :: Lens' ArtifactSummary (Maybe Text) Source #

The Amazon Resource Name (ARN) of the artifact.

artifactSummary_artifactName :: Lens' ArtifactSummary (Maybe Text) Source #

The name of the artifact.

artifactSummary_artifactType :: Lens' ArtifactSummary (Maybe Text) Source #

The type of the artifact.

artifactSummary_creationTime :: Lens' ArtifactSummary (Maybe UTCTime) Source #

When the artifact was created.

artifactSummary_lastModifiedTime :: Lens' ArtifactSummary (Maybe UTCTime) Source #

When the artifact was last modified.

artifactSummary_source :: Lens' ArtifactSummary (Maybe ArtifactSource) Source #

The source of the artifact.

AssociationSummary

data AssociationSummary Source #

Lists a summary of the properties of an association. An association is an entity that links other lineage or experiment entities. An example would be an association between a training job and a model.

See: newAssociationSummary smart constructor.

Constructors

AssociationSummary' 

Fields

Instances

Instances details
FromJSON AssociationSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AssociationSummary

Methods

parseJSON :: Value -> Parser AssociationSummary #

parseJSONList :: Value -> Parser [AssociationSummary] #

Generic AssociationSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AssociationSummary

Associated Types

type Rep AssociationSummary :: Type -> Type #

Methods

from :: AssociationSummary -> Rep AssociationSummary x #

to :: Rep AssociationSummary x -> AssociationSummary #

Read AssociationSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AssociationSummary

Methods

readsPrec :: Int -> ReadS AssociationSummary #

readList :: ReadS [AssociationSummary] #

readPrec :: ReadPrec AssociationSummary #

readListPrec :: ReadPrec [AssociationSummary] #

Show AssociationSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AssociationSummary

Methods

showsPrec :: Int -> AssociationSummary -> ShowS #

show :: AssociationSummary -> String #

showList :: [AssociationSummary] -> ShowS #

NFData AssociationSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AssociationSummary

Methods

rnf :: AssociationSummary -> () #

Eq AssociationSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AssociationSummary

Methods

(==) :: AssociationSummary -> AssociationSummary -> Bool #

(/=) :: AssociationSummary -> AssociationSummary -> Bool #

Hashable AssociationSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AssociationSummary

Methods

hashWithSalt :: Int -> AssociationSummary -> Int #

hash :: AssociationSummary -> Int #

type Rep AssociationSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AssociationSummary

type Rep AssociationSummary = D1 ('MetaData "AssociationSummary" "Amazonka.SageMaker.Types.AssociationSummary" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "AssociationSummary'" 'PrefixI 'True) (((S1 ('MetaSel ('Just "associationType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe AssociationEdgeType)) :*: S1 ('MetaSel ('Just "createdBy") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe UserContext))) :*: (S1 ('MetaSel ('Just "creationTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :*: S1 ('MetaSel ('Just "destinationArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))) :*: ((S1 ('MetaSel ('Just "destinationName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "destinationType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))) :*: (S1 ('MetaSel ('Just "sourceArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: (S1 ('MetaSel ('Just "sourceName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "sourceType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))))))

newAssociationSummary :: AssociationSummary Source #

Create a value of AssociationSummary with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:associationType:AssociationSummary', associationSummary_associationType - The type of the association.

$sel:createdBy:AssociationSummary', associationSummary_createdBy - Undocumented member.

$sel:creationTime:AssociationSummary', associationSummary_creationTime - When the association was created.

$sel:destinationArn:AssociationSummary', associationSummary_destinationArn - The Amazon Resource Name (ARN) of the destination.

$sel:destinationName:AssociationSummary', associationSummary_destinationName - The name of the destination.

$sel:destinationType:AssociationSummary', associationSummary_destinationType - The destination type.

$sel:sourceArn:AssociationSummary', associationSummary_sourceArn - The ARN of the source.

$sel:sourceName:AssociationSummary', associationSummary_sourceName - The name of the source.

$sel:sourceType:AssociationSummary', associationSummary_sourceType - The source type.

associationSummary_associationType :: Lens' AssociationSummary (Maybe AssociationEdgeType) Source #

The type of the association.

associationSummary_createdBy :: Lens' AssociationSummary (Maybe UserContext) Source #

Undocumented member.

associationSummary_creationTime :: Lens' AssociationSummary (Maybe UTCTime) Source #

When the association was created.

associationSummary_destinationArn :: Lens' AssociationSummary (Maybe Text) Source #

The Amazon Resource Name (ARN) of the destination.

associationSummary_destinationName :: Lens' AssociationSummary (Maybe Text) Source #

The name of the destination.

associationSummary_destinationType :: Lens' AssociationSummary (Maybe Text) Source #

The destination type.

associationSummary_sourceArn :: Lens' AssociationSummary (Maybe Text) Source #

The ARN of the source.

associationSummary_sourceName :: Lens' AssociationSummary (Maybe Text) Source #

The name of the source.

associationSummary_sourceType :: Lens' AssociationSummary (Maybe Text) Source #

The source type.

AsyncInferenceClientConfig

data AsyncInferenceClientConfig Source #

Configures the behavior of the client used by SageMaker to interact with the model container during asynchronous inference.

See: newAsyncInferenceClientConfig smart constructor.

Constructors

AsyncInferenceClientConfig' 

Fields

Instances

Instances details
FromJSON AsyncInferenceClientConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AsyncInferenceClientConfig

Methods

parseJSON :: Value -> Parser AsyncInferenceClientConfig #

parseJSONList :: Value -> Parser [AsyncInferenceClientConfig] #

ToJSON AsyncInferenceClientConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AsyncInferenceClientConfig

Methods

toJSON :: AsyncInferenceClientConfig -> Value #

toEncoding :: AsyncInferenceClientConfig -> Encoding #

toJSONList :: [AsyncInferenceClientConfig] -> Value #

toEncodingList :: [AsyncInferenceClientConfig] -> Encoding #

Generic AsyncInferenceClientConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AsyncInferenceClientConfig

Associated Types

type Rep AsyncInferenceClientConfig :: Type -> Type #

Methods

from :: AsyncInferenceClientConfig -> Rep AsyncInferenceClientConfig x #

to :: Rep AsyncInferenceClientConfig x -> AsyncInferenceClientConfig #

Read AsyncInferenceClientConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AsyncInferenceClientConfig

Methods

readsPrec :: Int -> ReadS AsyncInferenceClientConfig #

readList :: ReadS [AsyncInferenceClientConfig] #

readPrec :: ReadPrec AsyncInferenceClientConfig #

readListPrec :: ReadPrec [AsyncInferenceClientConfig] #

Show AsyncInferenceClientConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AsyncInferenceClientConfig

Methods

showsPrec :: Int -> AsyncInferenceClientConfig -> ShowS #

show :: AsyncInferenceClientConfig -> String #

showList :: [AsyncInferenceClientConfig] -> ShowS #

NFData AsyncInferenceClientConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AsyncInferenceClientConfig

Methods

rnf :: AsyncInferenceClientConfig -> () #

Eq AsyncInferenceClientConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AsyncInferenceClientConfig

Methods

(==) :: AsyncInferenceClientConfig -> AsyncInferenceClientConfig -> Bool #

(/=) :: AsyncInferenceClientConfig -> AsyncInferenceClientConfig -> Bool #

Hashable AsyncInferenceClientConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AsyncInferenceClientConfig

Methods

hashWithSalt :: Int -> AsyncInferenceClientConfig -> Int #

hash :: AsyncInferenceClientConfig -> Int #

type Rep AsyncInferenceClientConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AsyncInferenceClientConfig

type Rep AsyncInferenceClientConfig = D1 ('MetaData "AsyncInferenceClientConfig" "Amazonka.SageMaker.Types.AsyncInferenceClientConfig" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "AsyncInferenceClientConfig'" 'PrefixI 'True) (S1 ('MetaSel ('Just "maxConcurrentInvocationsPerInstance") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural))))

newAsyncInferenceClientConfig :: AsyncInferenceClientConfig Source #

Create a value of AsyncInferenceClientConfig with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:maxConcurrentInvocationsPerInstance:AsyncInferenceClientConfig', asyncInferenceClientConfig_maxConcurrentInvocationsPerInstance - The maximum number of concurrent requests sent by the SageMaker client to the model container. If no value is provided, SageMaker chooses an optimal value.

asyncInferenceClientConfig_maxConcurrentInvocationsPerInstance :: Lens' AsyncInferenceClientConfig (Maybe Natural) Source #

The maximum number of concurrent requests sent by the SageMaker client to the model container. If no value is provided, SageMaker chooses an optimal value.

AsyncInferenceConfig

data AsyncInferenceConfig Source #

Specifies configuration for how an endpoint performs asynchronous inference.

See: newAsyncInferenceConfig smart constructor.

Constructors

AsyncInferenceConfig' 

Fields

Instances

Instances details
FromJSON AsyncInferenceConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AsyncInferenceConfig

Methods

parseJSON :: Value -> Parser AsyncInferenceConfig #

parseJSONList :: Value -> Parser [AsyncInferenceConfig] #

ToJSON AsyncInferenceConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AsyncInferenceConfig

Methods

toJSON :: AsyncInferenceConfig -> Value #

toEncoding :: AsyncInferenceConfig -> Encoding #

toJSONList :: [AsyncInferenceConfig] -> Value #

toEncodingList :: [AsyncInferenceConfig] -> Encoding #

Generic AsyncInferenceConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AsyncInferenceConfig

Associated Types

type Rep AsyncInferenceConfig :: Type -> Type #

Methods

from :: AsyncInferenceConfig -> Rep AsyncInferenceConfig x #

to :: Rep AsyncInferenceConfig x -> AsyncInferenceConfig #

Read AsyncInferenceConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AsyncInferenceConfig

Methods

readsPrec :: Int -> ReadS AsyncInferenceConfig #

readList :: ReadS [AsyncInferenceConfig] #

readPrec :: ReadPrec AsyncInferenceConfig #

readListPrec :: ReadPrec [AsyncInferenceConfig] #

Show AsyncInferenceConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AsyncInferenceConfig

Methods

showsPrec :: Int -> AsyncInferenceConfig -> ShowS #

show :: AsyncInferenceConfig -> String #

showList :: [AsyncInferenceConfig] -> ShowS #

NFData AsyncInferenceConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AsyncInferenceConfig

Methods

rnf :: AsyncInferenceConfig -> () #

Eq AsyncInferenceConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AsyncInferenceConfig

Methods

(==) :: AsyncInferenceConfig -> AsyncInferenceConfig -> Bool #

(/=) :: AsyncInferenceConfig -> AsyncInferenceConfig -> Bool #

Hashable AsyncInferenceConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AsyncInferenceConfig

Methods

hashWithSalt :: Int -> AsyncInferenceConfig -> Int #

hash :: AsyncInferenceConfig -> Int #

type Rep AsyncInferenceConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AsyncInferenceConfig

type Rep AsyncInferenceConfig = D1 ('MetaData "AsyncInferenceConfig" "Amazonka.SageMaker.Types.AsyncInferenceConfig" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "AsyncInferenceConfig'" 'PrefixI 'True) (S1 ('MetaSel ('Just "clientConfig") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe AsyncInferenceClientConfig)) :*: S1 ('MetaSel ('Just "outputConfig") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 AsyncInferenceOutputConfig)))

newAsyncInferenceConfig Source #

Arguments

:: AsyncInferenceOutputConfig

$sel:outputConfig:AsyncInferenceConfig'

-> AsyncInferenceConfig 

Create a value of AsyncInferenceConfig with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:clientConfig:AsyncInferenceConfig', asyncInferenceConfig_clientConfig - Configures the behavior of the client used by SageMaker to interact with the model container during asynchronous inference.

$sel:outputConfig:AsyncInferenceConfig', asyncInferenceConfig_outputConfig - Specifies the configuration for asynchronous inference invocation outputs.

asyncInferenceConfig_clientConfig :: Lens' AsyncInferenceConfig (Maybe AsyncInferenceClientConfig) Source #

Configures the behavior of the client used by SageMaker to interact with the model container during asynchronous inference.

asyncInferenceConfig_outputConfig :: Lens' AsyncInferenceConfig AsyncInferenceOutputConfig Source #

Specifies the configuration for asynchronous inference invocation outputs.

AsyncInferenceNotificationConfig

data AsyncInferenceNotificationConfig Source #

Specifies the configuration for notifications of inference results for asynchronous inference.

See: newAsyncInferenceNotificationConfig smart constructor.

Constructors

AsyncInferenceNotificationConfig' 

Fields

  • errorTopic :: Maybe Text

    Amazon SNS topic to post a notification to when inference fails. If no topic is provided, no notification is sent on failure.

  • successTopic :: Maybe Text

    Amazon SNS topic to post a notification to when inference completes successfully. If no topic is provided, no notification is sent on success.

Instances

Instances details
FromJSON AsyncInferenceNotificationConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AsyncInferenceNotificationConfig

Methods

parseJSON :: Value -> Parser AsyncInferenceNotificationConfig #

parseJSONList :: Value -> Parser [AsyncInferenceNotificationConfig] #

ToJSON AsyncInferenceNotificationConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AsyncInferenceNotificationConfig

Methods

toJSON :: AsyncInferenceNotificationConfig -> Value #

toEncoding :: AsyncInferenceNotificationConfig -> Encoding #

toJSONList :: [AsyncInferenceNotificationConfig] -> Value #

toEncodingList :: [AsyncInferenceNotificationConfig] -> Encoding #

Generic AsyncInferenceNotificationConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AsyncInferenceNotificationConfig

Associated Types

type Rep AsyncInferenceNotificationConfig :: Type -> Type #

Methods

from :: AsyncInferenceNotificationConfig -> Rep AsyncInferenceNotificationConfig x #

to :: Rep AsyncInferenceNotificationConfig x -> AsyncInferenceNotificationConfig #

Read AsyncInferenceNotificationConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AsyncInferenceNotificationConfig

Methods

readsPrec :: Int -> ReadS AsyncInferenceNotificationConfig #

readList :: ReadS [AsyncInferenceNotificationConfig] #

readPrec :: ReadPrec AsyncInferenceNotificationConfig #

readListPrec :: ReadPrec [AsyncInferenceNotificationConfig] #

Show AsyncInferenceNotificationConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AsyncInferenceNotificationConfig

Methods

showsPrec :: Int -> AsyncInferenceNotificationConfig -> ShowS #

show :: AsyncInferenceNotificationConfig -> String #

showList :: [AsyncInferenceNotificationConfig] -> ShowS #

NFData AsyncInferenceNotificationConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AsyncInferenceNotificationConfig

Methods

rnf :: AsyncInferenceNotificationConfig -> () #

Eq AsyncInferenceNotificationConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AsyncInferenceNotificationConfig

Methods

(==) :: AsyncInferenceNotificationConfig -> AsyncInferenceNotificationConfig -> Bool #

(/=) :: AsyncInferenceNotificationConfig -> AsyncInferenceNotificationConfig -> Bool #

Hashable AsyncInferenceNotificationConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AsyncInferenceNotificationConfig

Methods

hashWithSalt :: Int -> AsyncInferenceNotificationConfig -> Int #

hash :: AsyncInferenceNotificationConfig -> Int #

type Rep AsyncInferenceNotificationConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AsyncInferenceNotificationConfig

type Rep AsyncInferenceNotificationConfig = D1 ('MetaData "AsyncInferenceNotificationConfig" "Amazonka.SageMaker.Types.AsyncInferenceNotificationConfig" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "AsyncInferenceNotificationConfig'" 'PrefixI 'True) (S1 ('MetaSel ('Just "errorTopic") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "successTopic") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))

newAsyncInferenceNotificationConfig :: AsyncInferenceNotificationConfig Source #

Create a value of AsyncInferenceNotificationConfig with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:errorTopic:AsyncInferenceNotificationConfig', asyncInferenceNotificationConfig_errorTopic - Amazon SNS topic to post a notification to when inference fails. If no topic is provided, no notification is sent on failure.

$sel:successTopic:AsyncInferenceNotificationConfig', asyncInferenceNotificationConfig_successTopic - Amazon SNS topic to post a notification to when inference completes successfully. If no topic is provided, no notification is sent on success.

asyncInferenceNotificationConfig_errorTopic :: Lens' AsyncInferenceNotificationConfig (Maybe Text) Source #

Amazon SNS topic to post a notification to when inference fails. If no topic is provided, no notification is sent on failure.

asyncInferenceNotificationConfig_successTopic :: Lens' AsyncInferenceNotificationConfig (Maybe Text) Source #

Amazon SNS topic to post a notification to when inference completes successfully. If no topic is provided, no notification is sent on success.

AsyncInferenceOutputConfig

data AsyncInferenceOutputConfig Source #

Specifies the configuration for asynchronous inference invocation outputs.

See: newAsyncInferenceOutputConfig smart constructor.

Constructors

AsyncInferenceOutputConfig' 

Fields

Instances

Instances details
FromJSON AsyncInferenceOutputConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AsyncInferenceOutputConfig

Methods

parseJSON :: Value -> Parser AsyncInferenceOutputConfig #

parseJSONList :: Value -> Parser [AsyncInferenceOutputConfig] #

ToJSON AsyncInferenceOutputConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AsyncInferenceOutputConfig

Methods

toJSON :: AsyncInferenceOutputConfig -> Value #

toEncoding :: AsyncInferenceOutputConfig -> Encoding #

toJSONList :: [AsyncInferenceOutputConfig] -> Value #

toEncodingList :: [AsyncInferenceOutputConfig] -> Encoding #

Generic AsyncInferenceOutputConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AsyncInferenceOutputConfig

Associated Types

type Rep AsyncInferenceOutputConfig :: Type -> Type #

Methods

from :: AsyncInferenceOutputConfig -> Rep AsyncInferenceOutputConfig x #

to :: Rep AsyncInferenceOutputConfig x -> AsyncInferenceOutputConfig #

Read AsyncInferenceOutputConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AsyncInferenceOutputConfig

Methods

readsPrec :: Int -> ReadS AsyncInferenceOutputConfig #

readList :: ReadS [AsyncInferenceOutputConfig] #

readPrec :: ReadPrec AsyncInferenceOutputConfig #

readListPrec :: ReadPrec [AsyncInferenceOutputConfig] #

Show AsyncInferenceOutputConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AsyncInferenceOutputConfig

Methods

showsPrec :: Int -> AsyncInferenceOutputConfig -> ShowS #

show :: AsyncInferenceOutputConfig -> String #

showList :: [AsyncInferenceOutputConfig] -> ShowS #

NFData AsyncInferenceOutputConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AsyncInferenceOutputConfig

Methods

rnf :: AsyncInferenceOutputConfig -> () #

Eq AsyncInferenceOutputConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AsyncInferenceOutputConfig

Methods

(==) :: AsyncInferenceOutputConfig -> AsyncInferenceOutputConfig -> Bool #

(/=) :: AsyncInferenceOutputConfig -> AsyncInferenceOutputConfig -> Bool #

Hashable AsyncInferenceOutputConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AsyncInferenceOutputConfig

Methods

hashWithSalt :: Int -> AsyncInferenceOutputConfig -> Int #

hash :: AsyncInferenceOutputConfig -> Int #

type Rep AsyncInferenceOutputConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AsyncInferenceOutputConfig

type Rep AsyncInferenceOutputConfig = D1 ('MetaData "AsyncInferenceOutputConfig" "Amazonka.SageMaker.Types.AsyncInferenceOutputConfig" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "AsyncInferenceOutputConfig'" 'PrefixI 'True) (S1 ('MetaSel ('Just "kmsKeyId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: (S1 ('MetaSel ('Just "notificationConfig") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe AsyncInferenceNotificationConfig)) :*: S1 ('MetaSel ('Just "s3OutputPath") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text))))

newAsyncInferenceOutputConfig Source #

Arguments

:: Text

$sel:s3OutputPath:AsyncInferenceOutputConfig'

-> AsyncInferenceOutputConfig 

Create a value of AsyncInferenceOutputConfig with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:kmsKeyId:AsyncInferenceOutputConfig', asyncInferenceOutputConfig_kmsKeyId - The Amazon Web Services Key Management Service (Amazon Web Services KMS) key that SageMaker uses to encrypt the asynchronous inference output in Amazon S3.

$sel:notificationConfig:AsyncInferenceOutputConfig', asyncInferenceOutputConfig_notificationConfig - Specifies the configuration for notifications of inference results for asynchronous inference.

$sel:s3OutputPath:AsyncInferenceOutputConfig', asyncInferenceOutputConfig_s3OutputPath - The Amazon S3 location to upload inference responses to.

asyncInferenceOutputConfig_kmsKeyId :: Lens' AsyncInferenceOutputConfig (Maybe Text) Source #

The Amazon Web Services Key Management Service (Amazon Web Services KMS) key that SageMaker uses to encrypt the asynchronous inference output in Amazon S3.

asyncInferenceOutputConfig_notificationConfig :: Lens' AsyncInferenceOutputConfig (Maybe AsyncInferenceNotificationConfig) Source #

Specifies the configuration for notifications of inference results for asynchronous inference.

asyncInferenceOutputConfig_s3OutputPath :: Lens' AsyncInferenceOutputConfig Text Source #

The Amazon S3 location to upload inference responses to.

AthenaDatasetDefinition

data AthenaDatasetDefinition Source #

Configuration for Athena Dataset Definition input.

See: newAthenaDatasetDefinition smart constructor.

Constructors

AthenaDatasetDefinition' 

Fields

Instances

Instances details
FromJSON AthenaDatasetDefinition Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AthenaDatasetDefinition

Methods

parseJSON :: Value -> Parser AthenaDatasetDefinition #

parseJSONList :: Value -> Parser [AthenaDatasetDefinition] #

ToJSON AthenaDatasetDefinition Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AthenaDatasetDefinition

Methods

toJSON :: AthenaDatasetDefinition -> Value #

toEncoding :: AthenaDatasetDefinition -> Encoding #

toJSONList :: [AthenaDatasetDefinition] -> Value #

toEncodingList :: [AthenaDatasetDefinition] -> Encoding #

Generic AthenaDatasetDefinition Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AthenaDatasetDefinition

Associated Types

type Rep AthenaDatasetDefinition :: Type -> Type #

Methods

from :: AthenaDatasetDefinition -> Rep AthenaDatasetDefinition x #

to :: Rep AthenaDatasetDefinition x -> AthenaDatasetDefinition #

Read AthenaDatasetDefinition Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AthenaDatasetDefinition

Methods

readsPrec :: Int -> ReadS AthenaDatasetDefinition #

readList :: ReadS [AthenaDatasetDefinition] #

readPrec :: ReadPrec AthenaDatasetDefinition #

readListPrec :: ReadPrec [AthenaDatasetDefinition] #

Show AthenaDatasetDefinition Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AthenaDatasetDefinition

Methods

showsPrec :: Int -> AthenaDatasetDefinition -> ShowS #

show :: AthenaDatasetDefinition -> String #

showList :: [AthenaDatasetDefinition] -> ShowS #

NFData AthenaDatasetDefinition Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AthenaDatasetDefinition

Methods

rnf :: AthenaDatasetDefinition -> () #

Eq AthenaDatasetDefinition Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AthenaDatasetDefinition

Methods

(==) :: AthenaDatasetDefinition -> AthenaDatasetDefinition -> Bool #

(/=) :: AthenaDatasetDefinition -> AthenaDatasetDefinition -> Bool #

Hashable AthenaDatasetDefinition Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AthenaDatasetDefinition

Methods

hashWithSalt :: Int -> AthenaDatasetDefinition -> Int #

hash :: AthenaDatasetDefinition -> Int #

type Rep AthenaDatasetDefinition Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AthenaDatasetDefinition

type Rep AthenaDatasetDefinition = D1 ('MetaData "AthenaDatasetDefinition" "Amazonka.SageMaker.Types.AthenaDatasetDefinition" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "AthenaDatasetDefinition'" 'PrefixI 'True) (((S1 ('MetaSel ('Just "kmsKeyId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "outputCompression") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe AthenaResultCompressionType))) :*: (S1 ('MetaSel ('Just "workGroup") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "catalog") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text))) :*: ((S1 ('MetaSel ('Just "database") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: S1 ('MetaSel ('Just "queryString") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)) :*: (S1 ('MetaSel ('Just "outputS3Uri") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: S1 ('MetaSel ('Just "outputFormat") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 AthenaResultFormat)))))

newAthenaDatasetDefinition Source #

Arguments

:: Text

$sel:catalog:AthenaDatasetDefinition'

-> Text

$sel:database:AthenaDatasetDefinition'

-> Text

$sel:queryString:AthenaDatasetDefinition'

-> Text

$sel:outputS3Uri:AthenaDatasetDefinition'

-> AthenaResultFormat

$sel:outputFormat:AthenaDatasetDefinition'

-> AthenaDatasetDefinition 

Create a value of AthenaDatasetDefinition with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:kmsKeyId:AthenaDatasetDefinition', athenaDatasetDefinition_kmsKeyId - The Amazon Web Services Key Management Service (Amazon Web Services KMS) key that Amazon SageMaker uses to encrypt data generated from an Athena query execution.

$sel:outputCompression:AthenaDatasetDefinition', athenaDatasetDefinition_outputCompression - Undocumented member.

$sel:workGroup:AthenaDatasetDefinition', athenaDatasetDefinition_workGroup - Undocumented member.

$sel:catalog:AthenaDatasetDefinition', athenaDatasetDefinition_catalog - Undocumented member.

$sel:database:AthenaDatasetDefinition', athenaDatasetDefinition_database - Undocumented member.

$sel:queryString:AthenaDatasetDefinition', athenaDatasetDefinition_queryString - Undocumented member.

$sel:outputS3Uri:AthenaDatasetDefinition', athenaDatasetDefinition_outputS3Uri - The location in Amazon S3 where Athena query results are stored.

$sel:outputFormat:AthenaDatasetDefinition', athenaDatasetDefinition_outputFormat - Undocumented member.

athenaDatasetDefinition_kmsKeyId :: Lens' AthenaDatasetDefinition (Maybe Text) Source #

The Amazon Web Services Key Management Service (Amazon Web Services KMS) key that Amazon SageMaker uses to encrypt data generated from an Athena query execution.

athenaDatasetDefinition_outputCompression :: Lens' AthenaDatasetDefinition (Maybe AthenaResultCompressionType) Source #

Undocumented member.

athenaDatasetDefinition_workGroup :: Lens' AthenaDatasetDefinition (Maybe Text) Source #

Undocumented member.

athenaDatasetDefinition_catalog :: Lens' AthenaDatasetDefinition Text Source #

Undocumented member.

athenaDatasetDefinition_database :: Lens' AthenaDatasetDefinition Text Source #

Undocumented member.

athenaDatasetDefinition_queryString :: Lens' AthenaDatasetDefinition Text Source #

Undocumented member.

athenaDatasetDefinition_outputS3Uri :: Lens' AthenaDatasetDefinition Text Source #

The location in Amazon S3 where Athena query results are stored.

athenaDatasetDefinition_outputFormat :: Lens' AthenaDatasetDefinition AthenaResultFormat Source #

Undocumented member.

AutoMLCandidate

data AutoMLCandidate Source #

Information about a candidate produced by an AutoML training job, including its status, steps, and other properties.

See: newAutoMLCandidate smart constructor.

Constructors

AutoMLCandidate' 

Fields

Instances

Instances details
FromJSON AutoMLCandidate Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLCandidate

Methods

parseJSON :: Value -> Parser AutoMLCandidate #

parseJSONList :: Value -> Parser [AutoMLCandidate] #

Generic AutoMLCandidate Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLCandidate

Associated Types

type Rep AutoMLCandidate :: Type -> Type #

Methods

from :: AutoMLCandidate -> Rep AutoMLCandidate x #

to :: Rep AutoMLCandidate x -> AutoMLCandidate #

Read AutoMLCandidate Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLCandidate

Methods

readsPrec :: Int -> ReadS AutoMLCandidate #

readList :: ReadS [AutoMLCandidate] #

readPrec :: ReadPrec AutoMLCandidate #

readListPrec :: ReadPrec [AutoMLCandidate] #

Show AutoMLCandidate Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLCandidate

Methods

showsPrec :: Int -> AutoMLCandidate -> ShowS #

show :: AutoMLCandidate -> String #

showList :: [AutoMLCandidate] -> ShowS #

NFData AutoMLCandidate Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLCandidate

Methods

rnf :: AutoMLCandidate -> () #

Eq AutoMLCandidate Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLCandidate

Methods

(==) :: AutoMLCandidate -> AutoMLCandidate -> Bool #

(/=) :: AutoMLCandidate -> AutoMLCandidate -> Bool #

Hashable AutoMLCandidate Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLCandidate

Methods

hashWithSalt :: Int -> AutoMLCandidate -> Int #

hash :: AutoMLCandidate -> Int #

type Rep AutoMLCandidate Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLCandidate

type Rep AutoMLCandidate = D1 ('MetaData "AutoMLCandidate" "Amazonka.SageMaker.Types.AutoMLCandidate" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "AutoMLCandidate'" 'PrefixI 'True) (((S1 ('MetaSel ('Just "candidateProperties") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe CandidateProperties)) :*: S1 ('MetaSel ('Just "endTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX))) :*: (S1 ('MetaSel ('Just "failureReason") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: (S1 ('MetaSel ('Just "finalAutoMLJobObjectiveMetric") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe FinalAutoMLJobObjectiveMetric)) :*: S1 ('MetaSel ('Just "inferenceContainers") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [AutoMLContainerDefinition]))))) :*: ((S1 ('MetaSel ('Just "candidateName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: (S1 ('MetaSel ('Just "objectiveStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 ObjectiveStatus) :*: S1 ('MetaSel ('Just "candidateSteps") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 [AutoMLCandidateStep]))) :*: (S1 ('MetaSel ('Just "candidateStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 CandidateStatus) :*: (S1 ('MetaSel ('Just "creationTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 POSIX) :*: S1 ('MetaSel ('Just "lastModifiedTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 POSIX))))))

newAutoMLCandidate Source #

Arguments

:: Text

$sel:candidateName:AutoMLCandidate'

-> ObjectiveStatus

$sel:objectiveStatus:AutoMLCandidate'

-> CandidateStatus

$sel:candidateStatus:AutoMLCandidate'

-> UTCTime

$sel:creationTime:AutoMLCandidate'

-> UTCTime

$sel:lastModifiedTime:AutoMLCandidate'

-> AutoMLCandidate 

Create a value of AutoMLCandidate with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:candidateProperties:AutoMLCandidate', autoMLCandidate_candidateProperties - The properties of an AutoML candidate job.

$sel:endTime:AutoMLCandidate', autoMLCandidate_endTime - The end time.

$sel:failureReason:AutoMLCandidate', autoMLCandidate_failureReason - The failure reason.

$sel:finalAutoMLJobObjectiveMetric:AutoMLCandidate', autoMLCandidate_finalAutoMLJobObjectiveMetric - Undocumented member.

$sel:inferenceContainers:AutoMLCandidate', autoMLCandidate_inferenceContainers - Information about the inference container definitions.

$sel:candidateName:AutoMLCandidate', autoMLCandidate_candidateName - The name of the candidate.

$sel:objectiveStatus:AutoMLCandidate', autoMLCandidate_objectiveStatus - The objective's status.

$sel:candidateSteps:AutoMLCandidate', autoMLCandidate_candidateSteps - Information about the candidate's steps.

$sel:candidateStatus:AutoMLCandidate', autoMLCandidate_candidateStatus - The candidate's status.

$sel:creationTime:AutoMLCandidate', autoMLCandidate_creationTime - The creation time.

$sel:lastModifiedTime:AutoMLCandidate', autoMLCandidate_lastModifiedTime - The last modified time.

autoMLCandidate_candidateProperties :: Lens' AutoMLCandidate (Maybe CandidateProperties) Source #

The properties of an AutoML candidate job.

autoMLCandidate_endTime :: Lens' AutoMLCandidate (Maybe UTCTime) Source #

The end time.

autoMLCandidate_failureReason :: Lens' AutoMLCandidate (Maybe Text) Source #

The failure reason.

autoMLCandidate_finalAutoMLJobObjectiveMetric :: Lens' AutoMLCandidate (Maybe FinalAutoMLJobObjectiveMetric) Source #

Undocumented member.

autoMLCandidate_inferenceContainers :: Lens' AutoMLCandidate (Maybe [AutoMLContainerDefinition]) Source #

Information about the inference container definitions.

autoMLCandidate_candidateName :: Lens' AutoMLCandidate Text Source #

The name of the candidate.

autoMLCandidate_objectiveStatus :: Lens' AutoMLCandidate ObjectiveStatus Source #

The objective's status.

autoMLCandidate_candidateSteps :: Lens' AutoMLCandidate [AutoMLCandidateStep] Source #

Information about the candidate's steps.

autoMLCandidate_candidateStatus :: Lens' AutoMLCandidate CandidateStatus Source #

The candidate's status.

autoMLCandidate_creationTime :: Lens' AutoMLCandidate UTCTime Source #

The creation time.

autoMLCandidate_lastModifiedTime :: Lens' AutoMLCandidate UTCTime Source #

The last modified time.

AutoMLCandidateGenerationConfig

data AutoMLCandidateGenerationConfig Source #

Stores the config information for how a candidate is generated (optional).

See: newAutoMLCandidateGenerationConfig smart constructor.

Constructors

AutoMLCandidateGenerationConfig' 

Fields

  • featureSpecificationS3Uri :: Maybe Text

    A URL to the Amazon S3 data source containing selected features from the input data source to run an Autopilot job. You can input FeatureAttributeNames (optional) in JSON format as shown below:

    { "FeatureAttributeNames":["col1", "col2", ...] }.

    You can also specify the data type of the feature (optional) in the format shown below:

    { "FeatureDataTypes":{"col1":"numeric", "col2":"categorical" ... } }

    These column keys may not include the target column.

    In ensembling mode, Autopilot will only support the following data types: numeric, categorical, text and datetime. In HPO mode, Autopilot can support numeric, categorical, text, datetime and sequence.

    If only FeatureDataTypes is provided, the column keys (col1, col2,..) should be a subset of the column names in the input data.

    If both FeatureDataTypes and FeatureAttributeNames are provided, then the column keys should be a subset of the column names provided in FeatureAttributeNames.

    The key name FeatureAttributeNames is fixed. The values listed in ["col1", "col2", ...] is case sensitive and should be a list of strings containing unique values that are a subset of the column names in the input data. The list of columns provided must not include the target column.

Instances

Instances details
FromJSON AutoMLCandidateGenerationConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLCandidateGenerationConfig

Methods

parseJSON :: Value -> Parser AutoMLCandidateGenerationConfig #

parseJSONList :: Value -> Parser [AutoMLCandidateGenerationConfig] #

ToJSON AutoMLCandidateGenerationConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLCandidateGenerationConfig

Methods

toJSON :: AutoMLCandidateGenerationConfig -> Value #

toEncoding :: AutoMLCandidateGenerationConfig -> Encoding #

toJSONList :: [AutoMLCandidateGenerationConfig] -> Value #

toEncodingList :: [AutoMLCandidateGenerationConfig] -> Encoding #

Generic AutoMLCandidateGenerationConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLCandidateGenerationConfig

Associated Types

type Rep AutoMLCandidateGenerationConfig :: Type -> Type #

Methods

from :: AutoMLCandidateGenerationConfig -> Rep AutoMLCandidateGenerationConfig x #

to :: Rep AutoMLCandidateGenerationConfig x -> AutoMLCandidateGenerationConfig #

Read AutoMLCandidateGenerationConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLCandidateGenerationConfig

Methods

readsPrec :: Int -> ReadS AutoMLCandidateGenerationConfig #

readList :: ReadS [AutoMLCandidateGenerationConfig] #

readPrec :: ReadPrec AutoMLCandidateGenerationConfig #

readListPrec :: ReadPrec [AutoMLCandidateGenerationConfig] #

Show AutoMLCandidateGenerationConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLCandidateGenerationConfig

Methods

showsPrec :: Int -> AutoMLCandidateGenerationConfig -> ShowS #

show :: AutoMLCandidateGenerationConfig -> String #

showList :: [AutoMLCandidateGenerationConfig] -> ShowS #

NFData AutoMLCandidateGenerationConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLCandidateGenerationConfig

Methods

rnf :: AutoMLCandidateGenerationConfig -> () #

Eq AutoMLCandidateGenerationConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLCandidateGenerationConfig

Methods

(==) :: AutoMLCandidateGenerationConfig -> AutoMLCandidateGenerationConfig -> Bool #

(/=) :: AutoMLCandidateGenerationConfig -> AutoMLCandidateGenerationConfig -> Bool #

Hashable AutoMLCandidateGenerationConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLCandidateGenerationConfig

Methods

hashWithSalt :: Int -> AutoMLCandidateGenerationConfig -> Int #

hash :: AutoMLCandidateGenerationConfig -> Int #

type Rep AutoMLCandidateGenerationConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLCandidateGenerationConfig

type Rep AutoMLCandidateGenerationConfig = D1 ('MetaData "AutoMLCandidateGenerationConfig" "Amazonka.SageMaker.Types.AutoMLCandidateGenerationConfig" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "AutoMLCandidateGenerationConfig'" 'PrefixI 'True) (S1 ('MetaSel ('Just "featureSpecificationS3Uri") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))

newAutoMLCandidateGenerationConfig :: AutoMLCandidateGenerationConfig Source #

Create a value of AutoMLCandidateGenerationConfig with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:featureSpecificationS3Uri:AutoMLCandidateGenerationConfig', autoMLCandidateGenerationConfig_featureSpecificationS3Uri - A URL to the Amazon S3 data source containing selected features from the input data source to run an Autopilot job. You can input FeatureAttributeNames (optional) in JSON format as shown below:

{ "FeatureAttributeNames":["col1", "col2", ...] }.

You can also specify the data type of the feature (optional) in the format shown below:

{ "FeatureDataTypes":{"col1":"numeric", "col2":"categorical" ... } }

These column keys may not include the target column.

In ensembling mode, Autopilot will only support the following data types: numeric, categorical, text and datetime. In HPO mode, Autopilot can support numeric, categorical, text, datetime and sequence.

If only FeatureDataTypes is provided, the column keys (col1, col2,..) should be a subset of the column names in the input data.

If both FeatureDataTypes and FeatureAttributeNames are provided, then the column keys should be a subset of the column names provided in FeatureAttributeNames.

The key name FeatureAttributeNames is fixed. The values listed in ["col1", "col2", ...] is case sensitive and should be a list of strings containing unique values that are a subset of the column names in the input data. The list of columns provided must not include the target column.

autoMLCandidateGenerationConfig_featureSpecificationS3Uri :: Lens' AutoMLCandidateGenerationConfig (Maybe Text) Source #

A URL to the Amazon S3 data source containing selected features from the input data source to run an Autopilot job. You can input FeatureAttributeNames (optional) in JSON format as shown below:

{ "FeatureAttributeNames":["col1", "col2", ...] }.

You can also specify the data type of the feature (optional) in the format shown below:

{ "FeatureDataTypes":{"col1":"numeric", "col2":"categorical" ... } }

These column keys may not include the target column.

In ensembling mode, Autopilot will only support the following data types: numeric, categorical, text and datetime. In HPO mode, Autopilot can support numeric, categorical, text, datetime and sequence.

If only FeatureDataTypes is provided, the column keys (col1, col2,..) should be a subset of the column names in the input data.

If both FeatureDataTypes and FeatureAttributeNames are provided, then the column keys should be a subset of the column names provided in FeatureAttributeNames.

The key name FeatureAttributeNames is fixed. The values listed in ["col1", "col2", ...] is case sensitive and should be a list of strings containing unique values that are a subset of the column names in the input data. The list of columns provided must not include the target column.

AutoMLCandidateStep

data AutoMLCandidateStep Source #

Information about the steps for a candidate and what step it is working on.

See: newAutoMLCandidateStep smart constructor.

Constructors

AutoMLCandidateStep' 

Fields

Instances

Instances details
FromJSON AutoMLCandidateStep Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLCandidateStep

Methods

parseJSON :: Value -> Parser AutoMLCandidateStep #

parseJSONList :: Value -> Parser [AutoMLCandidateStep] #

Generic AutoMLCandidateStep Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLCandidateStep

Associated Types

type Rep AutoMLCandidateStep :: Type -> Type #

Methods

from :: AutoMLCandidateStep -> Rep AutoMLCandidateStep x #

to :: Rep AutoMLCandidateStep x -> AutoMLCandidateStep #

Read AutoMLCandidateStep Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLCandidateStep

Methods

readsPrec :: Int -> ReadS AutoMLCandidateStep #

readList :: ReadS [AutoMLCandidateStep] #

readPrec :: ReadPrec AutoMLCandidateStep #

readListPrec :: ReadPrec [AutoMLCandidateStep] #

Show AutoMLCandidateStep Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLCandidateStep

Methods

showsPrec :: Int -> AutoMLCandidateStep -> ShowS #

show :: AutoMLCandidateStep -> String #

showList :: [AutoMLCandidateStep] -> ShowS #

NFData AutoMLCandidateStep Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLCandidateStep

Methods

rnf :: AutoMLCandidateStep -> () #

Eq AutoMLCandidateStep Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLCandidateStep

Methods

(==) :: AutoMLCandidateStep -> AutoMLCandidateStep -> Bool #

(/=) :: AutoMLCandidateStep -> AutoMLCandidateStep -> Bool #

Hashable AutoMLCandidateStep Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLCandidateStep

Methods

hashWithSalt :: Int -> AutoMLCandidateStep -> Int #

hash :: AutoMLCandidateStep -> Int #

type Rep AutoMLCandidateStep Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLCandidateStep

type Rep AutoMLCandidateStep = D1 ('MetaData "AutoMLCandidateStep" "Amazonka.SageMaker.Types.AutoMLCandidateStep" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "AutoMLCandidateStep'" 'PrefixI 'True) (S1 ('MetaSel ('Just "candidateStepType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 CandidateStepType) :*: (S1 ('MetaSel ('Just "candidateStepArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: S1 ('MetaSel ('Just "candidateStepName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text))))

newAutoMLCandidateStep Source #

Arguments

:: CandidateStepType

$sel:candidateStepType:AutoMLCandidateStep'

-> Text

$sel:candidateStepArn:AutoMLCandidateStep'

-> Text

$sel:candidateStepName:AutoMLCandidateStep'

-> AutoMLCandidateStep 

Create a value of AutoMLCandidateStep with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:candidateStepType:AutoMLCandidateStep', autoMLCandidateStep_candidateStepType - Whether the candidate is at the transform, training, or processing step.

$sel:candidateStepArn:AutoMLCandidateStep', autoMLCandidateStep_candidateStepArn - The ARN for the candidate's step.

$sel:candidateStepName:AutoMLCandidateStep', autoMLCandidateStep_candidateStepName - The name for the candidate's step.

autoMLCandidateStep_candidateStepType :: Lens' AutoMLCandidateStep CandidateStepType Source #

Whether the candidate is at the transform, training, or processing step.

autoMLCandidateStep_candidateStepArn :: Lens' AutoMLCandidateStep Text Source #

The ARN for the candidate's step.

autoMLCandidateStep_candidateStepName :: Lens' AutoMLCandidateStep Text Source #

The name for the candidate's step.

AutoMLChannel

data AutoMLChannel Source #

A channel is a named input source that training algorithms can consume. The validation dataset size is limited to less than 2 GB. The training dataset size must be less than 100 GB. For more information, see .

A validation dataset must contain the same headers as the training dataset.

See: newAutoMLChannel smart constructor.

Constructors

AutoMLChannel' 

Fields

Instances

Instances details
FromJSON AutoMLChannel Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLChannel

Methods

parseJSON :: Value -> Parser AutoMLChannel #

parseJSONList :: Value -> Parser [AutoMLChannel] #

ToJSON AutoMLChannel Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLChannel

Methods

toJSON :: AutoMLChannel -> Value #

toEncoding :: AutoMLChannel -> Encoding #

toJSONList :: [AutoMLChannel] -> Value #

toEncodingList :: [AutoMLChannel] -> Encoding #

Generic AutoMLChannel Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLChannel

Associated Types

type Rep AutoMLChannel :: Type -> Type #

Methods

from :: AutoMLChannel -> Rep AutoMLChannel x #

to :: Rep AutoMLChannel x -> AutoMLChannel #

Read AutoMLChannel Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLChannel

Methods

readsPrec :: Int -> ReadS AutoMLChannel #

readList :: ReadS [AutoMLChannel] #

readPrec :: ReadPrec AutoMLChannel #

readListPrec :: ReadPrec [AutoMLChannel] #

Show AutoMLChannel Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLChannel

Methods

showsPrec :: Int -> AutoMLChannel -> ShowS #

show :: AutoMLChannel -> String #

showList :: [AutoMLChannel] -> ShowS #

NFData AutoMLChannel Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLChannel

Methods

rnf :: AutoMLChannel -> () #

Eq AutoMLChannel Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLChannel

Methods

(==) :: AutoMLChannel -> AutoMLChannel -> Bool #

(/=) :: AutoMLChannel -> AutoMLChannel -> Bool #

Hashable AutoMLChannel Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLChannel

Methods

hashWithSalt :: Int -> AutoMLChannel -> Int #

hash :: AutoMLChannel -> Int #

type Rep AutoMLChannel Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLChannel

type Rep AutoMLChannel = D1 ('MetaData "AutoMLChannel" "Amazonka.SageMaker.Types.AutoMLChannel" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "AutoMLChannel'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "channelType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe AutoMLChannelType)) :*: S1 ('MetaSel ('Just "compressionType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe CompressionType))) :*: (S1 ('MetaSel ('Just "contentType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: (S1 ('MetaSel ('Just "dataSource") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 AutoMLDataSource) :*: S1 ('MetaSel ('Just "targetAttributeName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))))

newAutoMLChannel Source #

Arguments

:: AutoMLDataSource

$sel:dataSource:AutoMLChannel'

-> Text

$sel:targetAttributeName:AutoMLChannel'

-> AutoMLChannel 

Create a value of AutoMLChannel with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:channelType:AutoMLChannel', autoMLChannel_channelType - The channel type (optional) is an enum string. The default value is training. Channels for training and validation must share the same ContentType and TargetAttributeName. For information on specifying training and validation channel types, see How to specify training and validation datasets .

$sel:compressionType:AutoMLChannel', autoMLChannel_compressionType - You can use Gzip or None. The default value is None.

$sel:contentType:AutoMLChannel', autoMLChannel_contentType - The content type of the data from the input source. You can use text/csv;header=present or x-application/vnd.amazon+parquet. The default value is text/csv;header=present.

$sel:dataSource:AutoMLChannel', autoMLChannel_dataSource - The data source for an AutoML channel.

$sel:targetAttributeName:AutoMLChannel', autoMLChannel_targetAttributeName - The name of the target variable in supervised learning, usually represented by 'y'.

autoMLChannel_channelType :: Lens' AutoMLChannel (Maybe AutoMLChannelType) Source #

The channel type (optional) is an enum string. The default value is training. Channels for training and validation must share the same ContentType and TargetAttributeName. For information on specifying training and validation channel types, see How to specify training and validation datasets .

autoMLChannel_compressionType :: Lens' AutoMLChannel (Maybe CompressionType) Source #

You can use Gzip or None. The default value is None.

autoMLChannel_contentType :: Lens' AutoMLChannel (Maybe Text) Source #

The content type of the data from the input source. You can use text/csv;header=present or x-application/vnd.amazon+parquet. The default value is text/csv;header=present.

autoMLChannel_dataSource :: Lens' AutoMLChannel AutoMLDataSource Source #

The data source for an AutoML channel.

autoMLChannel_targetAttributeName :: Lens' AutoMLChannel Text Source #

The name of the target variable in supervised learning, usually represented by 'y'.

AutoMLContainerDefinition

data AutoMLContainerDefinition Source #

A list of container definitions that describe the different containers that make up an AutoML candidate. For more information, see .

See: newAutoMLContainerDefinition smart constructor.

Constructors

AutoMLContainerDefinition' 

Fields

  • environment :: Maybe (HashMap Text Text)

    The environment variables to set in the container. For more information, see .

  • image :: Text

    The Amazon Elastic Container Registry (Amazon ECR) path of the container. For more information, see .

  • modelDataUrl :: Text

    The location of the model artifacts. For more information, see .

Instances

Instances details
FromJSON AutoMLContainerDefinition Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLContainerDefinition

Methods

parseJSON :: Value -> Parser AutoMLContainerDefinition #

parseJSONList :: Value -> Parser [AutoMLContainerDefinition] #

Generic AutoMLContainerDefinition Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLContainerDefinition

Associated Types

type Rep AutoMLContainerDefinition :: Type -> Type #

Methods

from :: AutoMLContainerDefinition -> Rep AutoMLContainerDefinition x #

to :: Rep AutoMLContainerDefinition x -> AutoMLContainerDefinition #

Read AutoMLContainerDefinition Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLContainerDefinition

Methods

readsPrec :: Int -> ReadS AutoMLContainerDefinition #

readList :: ReadS [AutoMLContainerDefinition] #

readPrec :: ReadPrec AutoMLContainerDefinition #

readListPrec :: ReadPrec [AutoMLContainerDefinition] #

Show AutoMLContainerDefinition Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLContainerDefinition

Methods

showsPrec :: Int -> AutoMLContainerDefinition -> ShowS #

show :: AutoMLContainerDefinition -> String #

showList :: [AutoMLContainerDefinition] -> ShowS #

NFData AutoMLContainerDefinition Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLContainerDefinition

Methods

rnf :: AutoMLContainerDefinition -> () #

Eq AutoMLContainerDefinition Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLContainerDefinition

Methods

(==) :: AutoMLContainerDefinition -> AutoMLContainerDefinition -> Bool #

(/=) :: AutoMLContainerDefinition -> AutoMLContainerDefinition -> Bool #

Hashable AutoMLContainerDefinition Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLContainerDefinition

Methods

hashWithSalt :: Int -> AutoMLContainerDefinition -> Int #

hash :: AutoMLContainerDefinition -> Int #

type Rep AutoMLContainerDefinition Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLContainerDefinition

type Rep AutoMLContainerDefinition = D1 ('MetaData "AutoMLContainerDefinition" "Amazonka.SageMaker.Types.AutoMLContainerDefinition" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "AutoMLContainerDefinition'" 'PrefixI 'True) (S1 ('MetaSel ('Just "environment") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe (HashMap Text Text))) :*: (S1 ('MetaSel ('Just "image") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: S1 ('MetaSel ('Just "modelDataUrl") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text))))

newAutoMLContainerDefinition Source #

Arguments

:: Text

$sel:image:AutoMLContainerDefinition'

-> Text

$sel:modelDataUrl:AutoMLContainerDefinition'

-> AutoMLContainerDefinition 

Create a value of AutoMLContainerDefinition with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:environment:AutoMLContainerDefinition', autoMLContainerDefinition_environment - The environment variables to set in the container. For more information, see .

$sel:image:AutoMLContainerDefinition', autoMLContainerDefinition_image - The Amazon Elastic Container Registry (Amazon ECR) path of the container. For more information, see .

$sel:modelDataUrl:AutoMLContainerDefinition', autoMLContainerDefinition_modelDataUrl - The location of the model artifacts. For more information, see .

autoMLContainerDefinition_environment :: Lens' AutoMLContainerDefinition (Maybe (HashMap Text Text)) Source #

The environment variables to set in the container. For more information, see .

autoMLContainerDefinition_image :: Lens' AutoMLContainerDefinition Text Source #

The Amazon Elastic Container Registry (Amazon ECR) path of the container. For more information, see .

autoMLContainerDefinition_modelDataUrl :: Lens' AutoMLContainerDefinition Text Source #

The location of the model artifacts. For more information, see .

AutoMLDataSource

data AutoMLDataSource Source #

The data source for the Autopilot job.

See: newAutoMLDataSource smart constructor.

Constructors

AutoMLDataSource' 

Fields

Instances

Instances details
FromJSON AutoMLDataSource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLDataSource

Methods

parseJSON :: Value -> Parser AutoMLDataSource #

parseJSONList :: Value -> Parser [AutoMLDataSource] #

ToJSON AutoMLDataSource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLDataSource

Methods

toJSON :: AutoMLDataSource -> Value #

toEncoding :: AutoMLDataSource -> Encoding #

toJSONList :: [AutoMLDataSource] -> Value #

toEncodingList :: [AutoMLDataSource] -> Encoding #

Generic AutoMLDataSource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLDataSource

Associated Types

type Rep AutoMLDataSource :: Type -> Type #

Methods

from :: AutoMLDataSource -> Rep AutoMLDataSource x #

to :: Rep AutoMLDataSource x -> AutoMLDataSource #

Read AutoMLDataSource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLDataSource

Methods

readsPrec :: Int -> ReadS AutoMLDataSource #

readList :: ReadS [AutoMLDataSource] #

readPrec :: ReadPrec AutoMLDataSource #

readListPrec :: ReadPrec [AutoMLDataSource] #

Show AutoMLDataSource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLDataSource

Methods

showsPrec :: Int -> AutoMLDataSource -> ShowS #

show :: AutoMLDataSource -> String #

showList :: [AutoMLDataSource] -> ShowS #

NFData AutoMLDataSource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLDataSource

Methods

rnf :: AutoMLDataSource -> () #

Eq AutoMLDataSource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLDataSource

Methods

(==) :: AutoMLDataSource -> AutoMLDataSource -> Bool #

(/=) :: AutoMLDataSource -> AutoMLDataSource -> Bool #

Hashable AutoMLDataSource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLDataSource

Methods

hashWithSalt :: Int -> AutoMLDataSource -> Int #

hash :: AutoMLDataSource -> Int #

type Rep AutoMLDataSource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLDataSource

type Rep AutoMLDataSource = D1 ('MetaData "AutoMLDataSource" "Amazonka.SageMaker.Types.AutoMLDataSource" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "AutoMLDataSource'" 'PrefixI 'True) (S1 ('MetaSel ('Just "s3DataSource") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 AutoMLS3DataSource)))

newAutoMLDataSource Source #

Arguments

:: AutoMLS3DataSource

$sel:s3DataSource:AutoMLDataSource'

-> AutoMLDataSource 

Create a value of AutoMLDataSource with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:s3DataSource:AutoMLDataSource', autoMLDataSource_s3DataSource - The Amazon S3 location of the input data.

autoMLDataSource_s3DataSource :: Lens' AutoMLDataSource AutoMLS3DataSource Source #

The Amazon S3 location of the input data.

AutoMLDataSplitConfig

data AutoMLDataSplitConfig Source #

This structure specifies how to split the data into train and validation datasets. The validation and training datasets must contain the same headers. The validation dataset must be less than 2 GB in size.

See: newAutoMLDataSplitConfig smart constructor.

Constructors

AutoMLDataSplitConfig' 

Fields

  • validationFraction :: Maybe Double

    The validation fraction (optional) is a float that specifies the portion of the training dataset to be used for validation. The default value is 0.2, and values must be greater than 0 and less than 1. We recommend setting this value to be less than 0.5.

Instances

Instances details
FromJSON AutoMLDataSplitConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLDataSplitConfig

Methods

parseJSON :: Value -> Parser AutoMLDataSplitConfig #

parseJSONList :: Value -> Parser [AutoMLDataSplitConfig] #

ToJSON AutoMLDataSplitConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLDataSplitConfig

Methods

toJSON :: AutoMLDataSplitConfig -> Value #

toEncoding :: AutoMLDataSplitConfig -> Encoding #

toJSONList :: [AutoMLDataSplitConfig] -> Value #

toEncodingList :: [AutoMLDataSplitConfig] -> Encoding #

Generic AutoMLDataSplitConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLDataSplitConfig

Associated Types

type Rep AutoMLDataSplitConfig :: Type -> Type #

Methods

from :: AutoMLDataSplitConfig -> Rep AutoMLDataSplitConfig x #

to :: Rep AutoMLDataSplitConfig x -> AutoMLDataSplitConfig #

Read AutoMLDataSplitConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLDataSplitConfig

Methods

readsPrec :: Int -> ReadS AutoMLDataSplitConfig #

readList :: ReadS [AutoMLDataSplitConfig] #

readPrec :: ReadPrec AutoMLDataSplitConfig #

readListPrec :: ReadPrec [AutoMLDataSplitConfig] #

Show AutoMLDataSplitConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLDataSplitConfig

Methods

showsPrec :: Int -> AutoMLDataSplitConfig -> ShowS #

show :: AutoMLDataSplitConfig -> String #

showList :: [AutoMLDataSplitConfig] -> ShowS #

NFData AutoMLDataSplitConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLDataSplitConfig

Methods

rnf :: AutoMLDataSplitConfig -> () #

Eq AutoMLDataSplitConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLDataSplitConfig

Methods

(==) :: AutoMLDataSplitConfig -> AutoMLDataSplitConfig -> Bool #

(/=) :: AutoMLDataSplitConfig -> AutoMLDataSplitConfig -> Bool #

Hashable AutoMLDataSplitConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLDataSplitConfig

Methods

hashWithSalt :: Int -> AutoMLDataSplitConfig -> Int #

hash :: AutoMLDataSplitConfig -> Int #

type Rep AutoMLDataSplitConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLDataSplitConfig

type Rep AutoMLDataSplitConfig = D1 ('MetaData "AutoMLDataSplitConfig" "Amazonka.SageMaker.Types.AutoMLDataSplitConfig" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "AutoMLDataSplitConfig'" 'PrefixI 'True) (S1 ('MetaSel ('Just "validationFraction") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double))))

newAutoMLDataSplitConfig :: AutoMLDataSplitConfig Source #

Create a value of AutoMLDataSplitConfig with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:validationFraction:AutoMLDataSplitConfig', autoMLDataSplitConfig_validationFraction - The validation fraction (optional) is a float that specifies the portion of the training dataset to be used for validation. The default value is 0.2, and values must be greater than 0 and less than 1. We recommend setting this value to be less than 0.5.

autoMLDataSplitConfig_validationFraction :: Lens' AutoMLDataSplitConfig (Maybe Double) Source #

The validation fraction (optional) is a float that specifies the portion of the training dataset to be used for validation. The default value is 0.2, and values must be greater than 0 and less than 1. We recommend setting this value to be less than 0.5.

AutoMLJobArtifacts

data AutoMLJobArtifacts Source #

The artifacts that are generated during an AutoML job.

See: newAutoMLJobArtifacts smart constructor.

Constructors

AutoMLJobArtifacts' 

Fields

Instances

Instances details
FromJSON AutoMLJobArtifacts Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLJobArtifacts

Methods

parseJSON :: Value -> Parser AutoMLJobArtifacts #

parseJSONList :: Value -> Parser [AutoMLJobArtifacts] #

Generic AutoMLJobArtifacts Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLJobArtifacts

Associated Types

type Rep AutoMLJobArtifacts :: Type -> Type #

Methods

from :: AutoMLJobArtifacts -> Rep AutoMLJobArtifacts x #

to :: Rep AutoMLJobArtifacts x -> AutoMLJobArtifacts #

Read AutoMLJobArtifacts Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLJobArtifacts

Methods

readsPrec :: Int -> ReadS AutoMLJobArtifacts #

readList :: ReadS [AutoMLJobArtifacts] #

readPrec :: ReadPrec AutoMLJobArtifacts #

readListPrec :: ReadPrec [AutoMLJobArtifacts] #

Show AutoMLJobArtifacts Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLJobArtifacts

Methods

showsPrec :: Int -> AutoMLJobArtifacts -> ShowS #

show :: AutoMLJobArtifacts -> String #

showList :: [AutoMLJobArtifacts] -> ShowS #

NFData AutoMLJobArtifacts Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLJobArtifacts

Methods

rnf :: AutoMLJobArtifacts -> () #

Eq AutoMLJobArtifacts Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLJobArtifacts

Methods

(==) :: AutoMLJobArtifacts -> AutoMLJobArtifacts -> Bool #

(/=) :: AutoMLJobArtifacts -> AutoMLJobArtifacts -> Bool #

Hashable AutoMLJobArtifacts Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLJobArtifacts

Methods

hashWithSalt :: Int -> AutoMLJobArtifacts -> Int #

hash :: AutoMLJobArtifacts -> Int #

type Rep AutoMLJobArtifacts Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLJobArtifacts

type Rep AutoMLJobArtifacts = D1 ('MetaData "AutoMLJobArtifacts" "Amazonka.SageMaker.Types.AutoMLJobArtifacts" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "AutoMLJobArtifacts'" 'PrefixI 'True) (S1 ('MetaSel ('Just "candidateDefinitionNotebookLocation") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "dataExplorationNotebookLocation") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))

newAutoMLJobArtifacts :: AutoMLJobArtifacts Source #

Create a value of AutoMLJobArtifacts with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:candidateDefinitionNotebookLocation:AutoMLJobArtifacts', autoMLJobArtifacts_candidateDefinitionNotebookLocation - The URL of the notebook location.

$sel:dataExplorationNotebookLocation:AutoMLJobArtifacts', autoMLJobArtifacts_dataExplorationNotebookLocation - The URL of the notebook location.

autoMLJobArtifacts_candidateDefinitionNotebookLocation :: Lens' AutoMLJobArtifacts (Maybe Text) Source #

The URL of the notebook location.

autoMLJobArtifacts_dataExplorationNotebookLocation :: Lens' AutoMLJobArtifacts (Maybe Text) Source #

The URL of the notebook location.

AutoMLJobCompletionCriteria

data AutoMLJobCompletionCriteria Source #

How long a job is allowed to run, or how many candidates a job is allowed to generate.

See: newAutoMLJobCompletionCriteria smart constructor.

Constructors

AutoMLJobCompletionCriteria' 

Fields

  • maxAutoMLJobRuntimeInSeconds :: Maybe Natural

    The maximum runtime, in seconds, an AutoML job has to complete.

    If an AutoML job exceeds the maximum runtime, the job is stopped automatically and its processing is ended gracefully. The AutoML job identifies the best model whose training was completed and marks it as the best-performing model. Any unfinished steps of the job, such as automatic one-click Autopilot model deployment, will not be completed.

  • maxCandidates :: Maybe Natural

    The maximum number of times a training job is allowed to run.

  • maxRuntimePerTrainingJobInSeconds :: Maybe Natural

    The maximum time, in seconds, that each training job executed inside hyperparameter tuning is allowed to run as part of a hyperparameter tuning job. For more information, see the used by the action.

Instances

Instances details
FromJSON AutoMLJobCompletionCriteria Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLJobCompletionCriteria

Methods

parseJSON :: Value -> Parser AutoMLJobCompletionCriteria #

parseJSONList :: Value -> Parser [AutoMLJobCompletionCriteria] #

ToJSON AutoMLJobCompletionCriteria Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLJobCompletionCriteria

Methods

toJSON :: AutoMLJobCompletionCriteria -> Value #

toEncoding :: AutoMLJobCompletionCriteria -> Encoding #

toJSONList :: [AutoMLJobCompletionCriteria] -> Value #

toEncodingList :: [AutoMLJobCompletionCriteria] -> Encoding #

Generic AutoMLJobCompletionCriteria Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLJobCompletionCriteria

Associated Types

type Rep AutoMLJobCompletionCriteria :: Type -> Type #

Methods

from :: AutoMLJobCompletionCriteria -> Rep AutoMLJobCompletionCriteria x #

to :: Rep AutoMLJobCompletionCriteria x -> AutoMLJobCompletionCriteria #

Read AutoMLJobCompletionCriteria Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLJobCompletionCriteria

Methods

readsPrec :: Int -> ReadS AutoMLJobCompletionCriteria #

readList :: ReadS [AutoMLJobCompletionCriteria] #

readPrec :: ReadPrec AutoMLJobCompletionCriteria #

readListPrec :: ReadPrec [AutoMLJobCompletionCriteria] #

Show AutoMLJobCompletionCriteria Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLJobCompletionCriteria

Methods

showsPrec :: Int -> AutoMLJobCompletionCriteria -> ShowS #

show :: AutoMLJobCompletionCriteria -> String #

showList :: [AutoMLJobCompletionCriteria] -> ShowS #

NFData AutoMLJobCompletionCriteria Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLJobCompletionCriteria

Methods

rnf :: AutoMLJobCompletionCriteria -> () #

Eq AutoMLJobCompletionCriteria Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLJobCompletionCriteria

Methods

(==) :: AutoMLJobCompletionCriteria -> AutoMLJobCompletionCriteria -> Bool #

(/=) :: AutoMLJobCompletionCriteria -> AutoMLJobCompletionCriteria -> Bool #

Hashable AutoMLJobCompletionCriteria Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLJobCompletionCriteria

Methods

hashWithSalt :: Int -> AutoMLJobCompletionCriteria -> Int #

hash :: AutoMLJobCompletionCriteria -> Int #

type Rep AutoMLJobCompletionCriteria Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLJobCompletionCriteria

type Rep AutoMLJobCompletionCriteria = D1 ('MetaData "AutoMLJobCompletionCriteria" "Amazonka.SageMaker.Types.AutoMLJobCompletionCriteria" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "AutoMLJobCompletionCriteria'" 'PrefixI 'True) (S1 ('MetaSel ('Just "maxAutoMLJobRuntimeInSeconds") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural)) :*: (S1 ('MetaSel ('Just "maxCandidates") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural)) :*: S1 ('MetaSel ('Just "maxRuntimePerTrainingJobInSeconds") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural)))))

newAutoMLJobCompletionCriteria :: AutoMLJobCompletionCriteria Source #

Create a value of AutoMLJobCompletionCriteria with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:maxAutoMLJobRuntimeInSeconds:AutoMLJobCompletionCriteria', autoMLJobCompletionCriteria_maxAutoMLJobRuntimeInSeconds - The maximum runtime, in seconds, an AutoML job has to complete.

If an AutoML job exceeds the maximum runtime, the job is stopped automatically and its processing is ended gracefully. The AutoML job identifies the best model whose training was completed and marks it as the best-performing model. Any unfinished steps of the job, such as automatic one-click Autopilot model deployment, will not be completed.

$sel:maxCandidates:AutoMLJobCompletionCriteria', autoMLJobCompletionCriteria_maxCandidates - The maximum number of times a training job is allowed to run.

$sel:maxRuntimePerTrainingJobInSeconds:AutoMLJobCompletionCriteria', autoMLJobCompletionCriteria_maxRuntimePerTrainingJobInSeconds - The maximum time, in seconds, that each training job executed inside hyperparameter tuning is allowed to run as part of a hyperparameter tuning job. For more information, see the used by the action.

autoMLJobCompletionCriteria_maxAutoMLJobRuntimeInSeconds :: Lens' AutoMLJobCompletionCriteria (Maybe Natural) Source #

The maximum runtime, in seconds, an AutoML job has to complete.

If an AutoML job exceeds the maximum runtime, the job is stopped automatically and its processing is ended gracefully. The AutoML job identifies the best model whose training was completed and marks it as the best-performing model. Any unfinished steps of the job, such as automatic one-click Autopilot model deployment, will not be completed.

autoMLJobCompletionCriteria_maxCandidates :: Lens' AutoMLJobCompletionCriteria (Maybe Natural) Source #

The maximum number of times a training job is allowed to run.

autoMLJobCompletionCriteria_maxRuntimePerTrainingJobInSeconds :: Lens' AutoMLJobCompletionCriteria (Maybe Natural) Source #

The maximum time, in seconds, that each training job executed inside hyperparameter tuning is allowed to run as part of a hyperparameter tuning job. For more information, see the used by the action.

AutoMLJobConfig

data AutoMLJobConfig Source #

A collection of settings used for an AutoML job.

See: newAutoMLJobConfig smart constructor.

Constructors

AutoMLJobConfig' 

Fields

  • candidateGenerationConfig :: Maybe AutoMLCandidateGenerationConfig

    The configuration for generating a candidate for an AutoML job (optional).

  • completionCriteria :: Maybe AutoMLJobCompletionCriteria

    How long an AutoML job is allowed to run, or how many candidates a job is allowed to generate.

  • dataSplitConfig :: Maybe AutoMLDataSplitConfig

    The configuration for splitting the input training dataset.

    Type: AutoMLDataSplitConfig

  • mode :: Maybe AutoMLMode

    The method that Autopilot uses to train the data. You can either specify the mode manually or let Autopilot choose for you based on the dataset size by selecting AUTO. In AUTO mode, Autopilot chooses ENSEMBLING for datasets smaller than 100 MB, and HYPERPARAMETER_TUNING for larger ones.

    The ENSEMBLING mode uses a multi-stack ensemble model to predict classification and regression tasks directly from your dataset. This machine learning mode combines several base models to produce an optimal predictive model. It then uses a stacking ensemble method to combine predictions from contributing members. A multi-stack ensemble model can provide better performance over a single model by combining the predictive capabilities of multiple models. See Autopilot algorithm support for a list of algorithms supported by ENSEMBLING mode.

    The HYPERPARAMETER_TUNING (HPO) mode uses the best hyperparameters to train the best version of a model. HPO will automatically select an algorithm for the type of problem you want to solve. Then HPO finds the best hyperparameters according to your objective metric. See Autopilot algorithm support for a list of algorithms supported by HYPERPARAMETER_TUNING mode.

  • securityConfig :: Maybe AutoMLSecurityConfig

    The security configuration for traffic encryption or Amazon VPC settings.

Instances

Instances details
FromJSON AutoMLJobConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLJobConfig

Methods

parseJSON :: Value -> Parser AutoMLJobConfig #

parseJSONList :: Value -> Parser [AutoMLJobConfig] #

ToJSON AutoMLJobConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLJobConfig

Methods

toJSON :: AutoMLJobConfig -> Value #

toEncoding :: AutoMLJobConfig -> Encoding #

toJSONList :: [AutoMLJobConfig] -> Value #

toEncodingList :: [AutoMLJobConfig] -> Encoding #

Generic AutoMLJobConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLJobConfig

Associated Types

type Rep AutoMLJobConfig :: Type -> Type #

Methods

from :: AutoMLJobConfig -> Rep AutoMLJobConfig x #

to :: Rep AutoMLJobConfig x -> AutoMLJobConfig #

Read AutoMLJobConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLJobConfig

Methods

readsPrec :: Int -> ReadS AutoMLJobConfig #

readList :: ReadS [AutoMLJobConfig] #

readPrec :: ReadPrec AutoMLJobConfig #

readListPrec :: ReadPrec [AutoMLJobConfig] #

Show AutoMLJobConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLJobConfig

Methods

showsPrec :: Int -> AutoMLJobConfig -> ShowS #

show :: AutoMLJobConfig -> String #

showList :: [AutoMLJobConfig] -> ShowS #

NFData AutoMLJobConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLJobConfig

Methods

rnf :: AutoMLJobConfig -> () #

Eq AutoMLJobConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLJobConfig

Methods

(==) :: AutoMLJobConfig -> AutoMLJobConfig -> Bool #

(/=) :: AutoMLJobConfig -> AutoMLJobConfig -> Bool #

Hashable AutoMLJobConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLJobConfig

Methods

hashWithSalt :: Int -> AutoMLJobConfig -> Int #

hash :: AutoMLJobConfig -> Int #

type Rep AutoMLJobConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLJobConfig

type Rep AutoMLJobConfig = D1 ('MetaData "AutoMLJobConfig" "Amazonka.SageMaker.Types.AutoMLJobConfig" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "AutoMLJobConfig'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "candidateGenerationConfig") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe AutoMLCandidateGenerationConfig)) :*: S1 ('MetaSel ('Just "completionCriteria") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe AutoMLJobCompletionCriteria))) :*: (S1 ('MetaSel ('Just "dataSplitConfig") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe AutoMLDataSplitConfig)) :*: (S1 ('MetaSel ('Just "mode") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe AutoMLMode)) :*: S1 ('MetaSel ('Just "securityConfig") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe AutoMLSecurityConfig))))))

newAutoMLJobConfig :: AutoMLJobConfig Source #

Create a value of AutoMLJobConfig with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:candidateGenerationConfig:AutoMLJobConfig', autoMLJobConfig_candidateGenerationConfig - The configuration for generating a candidate for an AutoML job (optional).

$sel:completionCriteria:AutoMLJobConfig', autoMLJobConfig_completionCriteria - How long an AutoML job is allowed to run, or how many candidates a job is allowed to generate.

$sel:dataSplitConfig:AutoMLJobConfig', autoMLJobConfig_dataSplitConfig - The configuration for splitting the input training dataset.

Type: AutoMLDataSplitConfig

$sel:mode:AutoMLJobConfig', autoMLJobConfig_mode - The method that Autopilot uses to train the data. You can either specify the mode manually or let Autopilot choose for you based on the dataset size by selecting AUTO. In AUTO mode, Autopilot chooses ENSEMBLING for datasets smaller than 100 MB, and HYPERPARAMETER_TUNING for larger ones.

The ENSEMBLING mode uses a multi-stack ensemble model to predict classification and regression tasks directly from your dataset. This machine learning mode combines several base models to produce an optimal predictive model. It then uses a stacking ensemble method to combine predictions from contributing members. A multi-stack ensemble model can provide better performance over a single model by combining the predictive capabilities of multiple models. See Autopilot algorithm support for a list of algorithms supported by ENSEMBLING mode.

The HYPERPARAMETER_TUNING (HPO) mode uses the best hyperparameters to train the best version of a model. HPO will automatically select an algorithm for the type of problem you want to solve. Then HPO finds the best hyperparameters according to your objective metric. See Autopilot algorithm support for a list of algorithms supported by HYPERPARAMETER_TUNING mode.

$sel:securityConfig:AutoMLJobConfig', autoMLJobConfig_securityConfig - The security configuration for traffic encryption or Amazon VPC settings.

autoMLJobConfig_candidateGenerationConfig :: Lens' AutoMLJobConfig (Maybe AutoMLCandidateGenerationConfig) Source #

The configuration for generating a candidate for an AutoML job (optional).

autoMLJobConfig_completionCriteria :: Lens' AutoMLJobConfig (Maybe AutoMLJobCompletionCriteria) Source #

How long an AutoML job is allowed to run, or how many candidates a job is allowed to generate.

autoMLJobConfig_dataSplitConfig :: Lens' AutoMLJobConfig (Maybe AutoMLDataSplitConfig) Source #

The configuration for splitting the input training dataset.

Type: AutoMLDataSplitConfig

autoMLJobConfig_mode :: Lens' AutoMLJobConfig (Maybe AutoMLMode) Source #

The method that Autopilot uses to train the data. You can either specify the mode manually or let Autopilot choose for you based on the dataset size by selecting AUTO. In AUTO mode, Autopilot chooses ENSEMBLING for datasets smaller than 100 MB, and HYPERPARAMETER_TUNING for larger ones.

The ENSEMBLING mode uses a multi-stack ensemble model to predict classification and regression tasks directly from your dataset. This machine learning mode combines several base models to produce an optimal predictive model. It then uses a stacking ensemble method to combine predictions from contributing members. A multi-stack ensemble model can provide better performance over a single model by combining the predictive capabilities of multiple models. See Autopilot algorithm support for a list of algorithms supported by ENSEMBLING mode.

The HYPERPARAMETER_TUNING (HPO) mode uses the best hyperparameters to train the best version of a model. HPO will automatically select an algorithm for the type of problem you want to solve. Then HPO finds the best hyperparameters according to your objective metric. See Autopilot algorithm support for a list of algorithms supported by HYPERPARAMETER_TUNING mode.

autoMLJobConfig_securityConfig :: Lens' AutoMLJobConfig (Maybe AutoMLSecurityConfig) Source #

The security configuration for traffic encryption or Amazon VPC settings.

AutoMLJobObjective

data AutoMLJobObjective Source #

Specifies a metric to minimize or maximize as the objective of a job.

See: newAutoMLJobObjective smart constructor.

Constructors

AutoMLJobObjective' 

Fields

  • metricName :: AutoMLMetricEnum

    The name of the objective metric used to measure the predictive quality of a machine learning system. This metric is optimized during training to provide the best estimate for model parameter values from data.

    Here are the options:

    Accuracy
    The ratio of the number of correctly classified items to the total number of (correctly and incorrectly) classified items. It is used for both binary and multiclass classification. Accuracy measures how close the predicted class values are to the actual values. Values for accuracy metrics vary between zero (0) and one (1). A value of 1 indicates perfect accuracy, and 0 indicates perfect inaccuracy.
    AUC
    The area under the curve (AUC) metric is used to compare and evaluate binary classification by algorithms that return probabilities, such as logistic regression. To map the probabilities into classifications, these are compared against a threshold value.

    The relevant curve is the receiver operating characteristic curve (ROC curve). The ROC curve plots the true positive rate (TPR) of predictions (or recall) against the false positive rate (FPR) as a function of the threshold value, above which a prediction is considered positive. Increasing the threshold results in fewer false positives, but more false negatives.

    AUC is the area under this ROC curve. Therefore, AUC provides an aggregated measure of the model performance across all possible classification thresholds. AUC scores vary between 0 and 1. A score of 1 indicates perfect accuracy, and a score of one half (0.5) indicates that the prediction is not better than a random classifier.

    BalancedAccuracy
    BalancedAccuracy is a metric that measures the ratio of accurate predictions to all predictions. This ratio is calculated after normalizing true positives (TP) and true negatives (TN) by the total number of positive (P) and negative (N) values. It is used in both binary and multiclass classification and is defined as follows: 0.5*((TP/P)+(TN/N)), with values ranging from 0 to 1. BalancedAccuracy gives a better measure of accuracy when the number of positives or negatives differ greatly from each other in an imbalanced dataset. For example, when only 1% of email is spam.
    F1
    The F1 score is the harmonic mean of the precision and recall, defined as follows: F1 = 2 * (precision * recall) / (precision + recall). It is used for binary classification into classes traditionally referred to as positive and negative. Predictions are said to be true when they match their actual (correct) class, and false when they do not.

    Precision is the ratio of the true positive predictions to all positive predictions, and it includes the false positives in a dataset. Precision measures the quality of the prediction when it predicts the positive class.

    Recall (or sensitivity) is the ratio of the true positive predictions to all actual positive instances. Recall measures how completely a model predicts the actual class members in a dataset.

    F1 scores vary between 0 and 1. A score of 1 indicates the best possible performance, and 0 indicates the worst.

    F1macro
    The F1macro score applies F1 scoring to multiclass classification problems. It does this by calculating the precision and recall, and then taking their harmonic mean to calculate the F1 score for each class. Lastly, the F1macro averages the individual scores to obtain the F1macro score. F1macro scores vary between 0 and 1. A score of 1 indicates the best possible performance, and 0 indicates the worst.
    MAE
    The mean absolute error (MAE) is a measure of how different the predicted and actual values are, when they're averaged over all values. MAE is commonly used in regression analysis to understand model prediction error. If there is linear regression, MAE represents the average distance from a predicted line to the actual value. MAE is defined as the sum of absolute errors divided by the number of observations. Values range from 0 to infinity, with smaller numbers indicating a better model fit to the data.
    MSE
    The mean squared error (MSE) is the average of the squared differences between the predicted and actual values. It is used for regression. MSE values are always positive. The better a model is at predicting the actual values, the smaller the MSE value is
    Precision
    Precision measures how well an algorithm predicts the true positives (TP) out of all of the positives that it identifies. It is defined as follows: Precision = TP/(TP+FP), with values ranging from zero (0) to one (1), and is used in binary classification. Precision is an important metric when the cost of a false positive is high. For example, the cost of a false positive is very high if an airplane safety system is falsely deemed safe to fly. A false positive (FP) reflects a positive prediction that is actually negative in the data.
    PrecisionMacro
    The precision macro computes precision for multiclass classification problems. It does this by calculating precision for each class and averaging scores to obtain precision for several classes. PrecisionMacro scores range from zero (0) to one (1). Higher scores reflect the model's ability to predict true positives (TP) out of all of the positives that it identifies, averaged across multiple classes.
    R2
    R2, also known as the coefficient of determination, is used in regression to quantify how much a model can explain the variance of a dependent variable. Values range from one (1) to negative one (-1). Higher numbers indicate a higher fraction of explained variability. R2 values close to zero (0) indicate that very little of the dependent variable can be explained by the model. Negative values indicate a poor fit and that the model is outperformed by a constant function. For linear regression, this is a horizontal line.
    Recall
    Recall measures how well an algorithm correctly predicts all of the true positives (TP) in a dataset. A true positive is a positive prediction that is also an actual positive value in the data. Recall is defined as follows: Recall = TP/(TP+FN), with values ranging from 0 to 1. Higher scores reflect a better ability of the model to predict true positives (TP) in the data, and is used in binary classification.

    Recall is important when testing for cancer because it's used to find all of the true positives. A false positive (FP) reflects a positive prediction that is actually negative in the data. It is often insufficient to measure only recall, because predicting every output as a true positive will yield a perfect recall score.

    RecallMacro
    The RecallMacro computes recall for multiclass classification problems by calculating recall for each class and averaging scores to obtain recall for several classes. RecallMacro scores range from 0 to 1. Higher scores reflect the model's ability to predict true positives (TP) in a dataset. Whereas, a true positive reflects a positive prediction that is also an actual positive value in the data. It is often insufficient to measure only recall, because predicting every output as a true positive will yield a perfect recall score.
    RMSE
    Root mean squared error (RMSE) measures the square root of the squared difference between predicted and actual values, and it's averaged over all values. It is used in regression analysis to understand model prediction error. It's an important metric to indicate the presence of large model errors and outliers. Values range from zero (0) to infinity, with smaller numbers indicating a better model fit to the data. RMSE is dependent on scale, and should not be used to compare datasets of different sizes.

    If you do not specify a metric explicitly, the default behavior is to automatically use:

    • MSE: for regression.
    • F1: for binary classification
    • Accuracy: for multiclass classification.

Instances

Instances details
FromJSON AutoMLJobObjective Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLJobObjective

Methods

parseJSON :: Value -> Parser AutoMLJobObjective #

parseJSONList :: Value -> Parser [AutoMLJobObjective] #

ToJSON AutoMLJobObjective Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLJobObjective

Methods

toJSON :: AutoMLJobObjective -> Value #

toEncoding :: AutoMLJobObjective -> Encoding #

toJSONList :: [AutoMLJobObjective] -> Value #

toEncodingList :: [AutoMLJobObjective] -> Encoding #

Generic AutoMLJobObjective Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLJobObjective

Associated Types

type Rep AutoMLJobObjective :: Type -> Type #

Methods

from :: AutoMLJobObjective -> Rep AutoMLJobObjective x #

to :: Rep AutoMLJobObjective x -> AutoMLJobObjective #

Read AutoMLJobObjective Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLJobObjective

Methods

readsPrec :: Int -> ReadS AutoMLJobObjective #

readList :: ReadS [AutoMLJobObjective] #

readPrec :: ReadPrec AutoMLJobObjective #

readListPrec :: ReadPrec [AutoMLJobObjective] #

Show AutoMLJobObjective Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLJobObjective

Methods

showsPrec :: Int -> AutoMLJobObjective -> ShowS #

show :: AutoMLJobObjective -> String #

showList :: [AutoMLJobObjective] -> ShowS #

NFData AutoMLJobObjective Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLJobObjective

Methods

rnf :: AutoMLJobObjective -> () #

Eq AutoMLJobObjective Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLJobObjective

Methods

(==) :: AutoMLJobObjective -> AutoMLJobObjective -> Bool #

(/=) :: AutoMLJobObjective -> AutoMLJobObjective -> Bool #

Hashable AutoMLJobObjective Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLJobObjective

Methods

hashWithSalt :: Int -> AutoMLJobObjective -> Int #

hash :: AutoMLJobObjective -> Int #

type Rep AutoMLJobObjective Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLJobObjective

type Rep AutoMLJobObjective = D1 ('MetaData "AutoMLJobObjective" "Amazonka.SageMaker.Types.AutoMLJobObjective" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "AutoMLJobObjective'" 'PrefixI 'True) (S1 ('MetaSel ('Just "metricName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 AutoMLMetricEnum)))

newAutoMLJobObjective Source #

Arguments

:: AutoMLMetricEnum

$sel:metricName:AutoMLJobObjective'

-> AutoMLJobObjective 

Create a value of AutoMLJobObjective with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:metricName:AutoMLJobObjective', autoMLJobObjective_metricName - The name of the objective metric used to measure the predictive quality of a machine learning system. This metric is optimized during training to provide the best estimate for model parameter values from data.

Here are the options:

Accuracy
The ratio of the number of correctly classified items to the total number of (correctly and incorrectly) classified items. It is used for both binary and multiclass classification. Accuracy measures how close the predicted class values are to the actual values. Values for accuracy metrics vary between zero (0) and one (1). A value of 1 indicates perfect accuracy, and 0 indicates perfect inaccuracy.
AUC
The area under the curve (AUC) metric is used to compare and evaluate binary classification by algorithms that return probabilities, such as logistic regression. To map the probabilities into classifications, these are compared against a threshold value.

The relevant curve is the receiver operating characteristic curve (ROC curve). The ROC curve plots the true positive rate (TPR) of predictions (or recall) against the false positive rate (FPR) as a function of the threshold value, above which a prediction is considered positive. Increasing the threshold results in fewer false positives, but more false negatives.

AUC is the area under this ROC curve. Therefore, AUC provides an aggregated measure of the model performance across all possible classification thresholds. AUC scores vary between 0 and 1. A score of 1 indicates perfect accuracy, and a score of one half (0.5) indicates that the prediction is not better than a random classifier.

BalancedAccuracy
BalancedAccuracy is a metric that measures the ratio of accurate predictions to all predictions. This ratio is calculated after normalizing true positives (TP) and true negatives (TN) by the total number of positive (P) and negative (N) values. It is used in both binary and multiclass classification and is defined as follows: 0.5*((TP/P)+(TN/N)), with values ranging from 0 to 1. BalancedAccuracy gives a better measure of accuracy when the number of positives or negatives differ greatly from each other in an imbalanced dataset. For example, when only 1% of email is spam.
F1
The F1 score is the harmonic mean of the precision and recall, defined as follows: F1 = 2 * (precision * recall) / (precision + recall). It is used for binary classification into classes traditionally referred to as positive and negative. Predictions are said to be true when they match their actual (correct) class, and false when they do not.

Precision is the ratio of the true positive predictions to all positive predictions, and it includes the false positives in a dataset. Precision measures the quality of the prediction when it predicts the positive class.

Recall (or sensitivity) is the ratio of the true positive predictions to all actual positive instances. Recall measures how completely a model predicts the actual class members in a dataset.

F1 scores vary between 0 and 1. A score of 1 indicates the best possible performance, and 0 indicates the worst.

F1macro
The F1macro score applies F1 scoring to multiclass classification problems. It does this by calculating the precision and recall, and then taking their harmonic mean to calculate the F1 score for each class. Lastly, the F1macro averages the individual scores to obtain the F1macro score. F1macro scores vary between 0 and 1. A score of 1 indicates the best possible performance, and 0 indicates the worst.
MAE
The mean absolute error (MAE) is a measure of how different the predicted and actual values are, when they're averaged over all values. MAE is commonly used in regression analysis to understand model prediction error. If there is linear regression, MAE represents the average distance from a predicted line to the actual value. MAE is defined as the sum of absolute errors divided by the number of observations. Values range from 0 to infinity, with smaller numbers indicating a better model fit to the data.
MSE
The mean squared error (MSE) is the average of the squared differences between the predicted and actual values. It is used for regression. MSE values are always positive. The better a model is at predicting the actual values, the smaller the MSE value is
Precision
Precision measures how well an algorithm predicts the true positives (TP) out of all of the positives that it identifies. It is defined as follows: Precision = TP/(TP+FP), with values ranging from zero (0) to one (1), and is used in binary classification. Precision is an important metric when the cost of a false positive is high. For example, the cost of a false positive is very high if an airplane safety system is falsely deemed safe to fly. A false positive (FP) reflects a positive prediction that is actually negative in the data.
PrecisionMacro
The precision macro computes precision for multiclass classification problems. It does this by calculating precision for each class and averaging scores to obtain precision for several classes. PrecisionMacro scores range from zero (0) to one (1). Higher scores reflect the model's ability to predict true positives (TP) out of all of the positives that it identifies, averaged across multiple classes.
R2
R2, also known as the coefficient of determination, is used in regression to quantify how much a model can explain the variance of a dependent variable. Values range from one (1) to negative one (-1). Higher numbers indicate a higher fraction of explained variability. R2 values close to zero (0) indicate that very little of the dependent variable can be explained by the model. Negative values indicate a poor fit and that the model is outperformed by a constant function. For linear regression, this is a horizontal line.
Recall
Recall measures how well an algorithm correctly predicts all of the true positives (TP) in a dataset. A true positive is a positive prediction that is also an actual positive value in the data. Recall is defined as follows: Recall = TP/(TP+FN), with values ranging from 0 to 1. Higher scores reflect a better ability of the model to predict true positives (TP) in the data, and is used in binary classification.

Recall is important when testing for cancer because it's used to find all of the true positives. A false positive (FP) reflects a positive prediction that is actually negative in the data. It is often insufficient to measure only recall, because predicting every output as a true positive will yield a perfect recall score.

RecallMacro
The RecallMacro computes recall for multiclass classification problems by calculating recall for each class and averaging scores to obtain recall for several classes. RecallMacro scores range from 0 to 1. Higher scores reflect the model's ability to predict true positives (TP) in a dataset. Whereas, a true positive reflects a positive prediction that is also an actual positive value in the data. It is often insufficient to measure only recall, because predicting every output as a true positive will yield a perfect recall score.
RMSE
Root mean squared error (RMSE) measures the square root of the squared difference between predicted and actual values, and it's averaged over all values. It is used in regression analysis to understand model prediction error. It's an important metric to indicate the presence of large model errors and outliers. Values range from zero (0) to infinity, with smaller numbers indicating a better model fit to the data. RMSE is dependent on scale, and should not be used to compare datasets of different sizes.

If you do not specify a metric explicitly, the default behavior is to automatically use:

  • MSE: for regression.
  • F1: for binary classification
  • Accuracy: for multiclass classification.

autoMLJobObjective_metricName :: Lens' AutoMLJobObjective AutoMLMetricEnum Source #

The name of the objective metric used to measure the predictive quality of a machine learning system. This metric is optimized during training to provide the best estimate for model parameter values from data.

Here are the options:

Accuracy
The ratio of the number of correctly classified items to the total number of (correctly and incorrectly) classified items. It is used for both binary and multiclass classification. Accuracy measures how close the predicted class values are to the actual values. Values for accuracy metrics vary between zero (0) and one (1). A value of 1 indicates perfect accuracy, and 0 indicates perfect inaccuracy.
AUC
The area under the curve (AUC) metric is used to compare and evaluate binary classification by algorithms that return probabilities, such as logistic regression. To map the probabilities into classifications, these are compared against a threshold value.

The relevant curve is the receiver operating characteristic curve (ROC curve). The ROC curve plots the true positive rate (TPR) of predictions (or recall) against the false positive rate (FPR) as a function of the threshold value, above which a prediction is considered positive. Increasing the threshold results in fewer false positives, but more false negatives.

AUC is the area under this ROC curve. Therefore, AUC provides an aggregated measure of the model performance across all possible classification thresholds. AUC scores vary between 0 and 1. A score of 1 indicates perfect accuracy, and a score of one half (0.5) indicates that the prediction is not better than a random classifier.

BalancedAccuracy
BalancedAccuracy is a metric that measures the ratio of accurate predictions to all predictions. This ratio is calculated after normalizing true positives (TP) and true negatives (TN) by the total number of positive (P) and negative (N) values. It is used in both binary and multiclass classification and is defined as follows: 0.5*((TP/P)+(TN/N)), with values ranging from 0 to 1. BalancedAccuracy gives a better measure of accuracy when the number of positives or negatives differ greatly from each other in an imbalanced dataset. For example, when only 1% of email is spam.
F1
The F1 score is the harmonic mean of the precision and recall, defined as follows: F1 = 2 * (precision * recall) / (precision + recall). It is used for binary classification into classes traditionally referred to as positive and negative. Predictions are said to be true when they match their actual (correct) class, and false when they do not.

Precision is the ratio of the true positive predictions to all positive predictions, and it includes the false positives in a dataset. Precision measures the quality of the prediction when it predicts the positive class.

Recall (or sensitivity) is the ratio of the true positive predictions to all actual positive instances. Recall measures how completely a model predicts the actual class members in a dataset.

F1 scores vary between 0 and 1. A score of 1 indicates the best possible performance, and 0 indicates the worst.

F1macro
The F1macro score applies F1 scoring to multiclass classification problems. It does this by calculating the precision and recall, and then taking their harmonic mean to calculate the F1 score for each class. Lastly, the F1macro averages the individual scores to obtain the F1macro score. F1macro scores vary between 0 and 1. A score of 1 indicates the best possible performance, and 0 indicates the worst.
MAE
The mean absolute error (MAE) is a measure of how different the predicted and actual values are, when they're averaged over all values. MAE is commonly used in regression analysis to understand model prediction error. If there is linear regression, MAE represents the average distance from a predicted line to the actual value. MAE is defined as the sum of absolute errors divided by the number of observations. Values range from 0 to infinity, with smaller numbers indicating a better model fit to the data.
MSE
The mean squared error (MSE) is the average of the squared differences between the predicted and actual values. It is used for regression. MSE values are always positive. The better a model is at predicting the actual values, the smaller the MSE value is
Precision
Precision measures how well an algorithm predicts the true positives (TP) out of all of the positives that it identifies. It is defined as follows: Precision = TP/(TP+FP), with values ranging from zero (0) to one (1), and is used in binary classification. Precision is an important metric when the cost of a false positive is high. For example, the cost of a false positive is very high if an airplane safety system is falsely deemed safe to fly. A false positive (FP) reflects a positive prediction that is actually negative in the data.
PrecisionMacro
The precision macro computes precision for multiclass classification problems. It does this by calculating precision for each class and averaging scores to obtain precision for several classes. PrecisionMacro scores range from zero (0) to one (1). Higher scores reflect the model's ability to predict true positives (TP) out of all of the positives that it identifies, averaged across multiple classes.
R2
R2, also known as the coefficient of determination, is used in regression to quantify how much a model can explain the variance of a dependent variable. Values range from one (1) to negative one (-1). Higher numbers indicate a higher fraction of explained variability. R2 values close to zero (0) indicate that very little of the dependent variable can be explained by the model. Negative values indicate a poor fit and that the model is outperformed by a constant function. For linear regression, this is a horizontal line.
Recall
Recall measures how well an algorithm correctly predicts all of the true positives (TP) in a dataset. A true positive is a positive prediction that is also an actual positive value in the data. Recall is defined as follows: Recall = TP/(TP+FN), with values ranging from 0 to 1. Higher scores reflect a better ability of the model to predict true positives (TP) in the data, and is used in binary classification.

Recall is important when testing for cancer because it's used to find all of the true positives. A false positive (FP) reflects a positive prediction that is actually negative in the data. It is often insufficient to measure only recall, because predicting every output as a true positive will yield a perfect recall score.

RecallMacro
The RecallMacro computes recall for multiclass classification problems by calculating recall for each class and averaging scores to obtain recall for several classes. RecallMacro scores range from 0 to 1. Higher scores reflect the model's ability to predict true positives (TP) in a dataset. Whereas, a true positive reflects a positive prediction that is also an actual positive value in the data. It is often insufficient to measure only recall, because predicting every output as a true positive will yield a perfect recall score.
RMSE
Root mean squared error (RMSE) measures the square root of the squared difference between predicted and actual values, and it's averaged over all values. It is used in regression analysis to understand model prediction error. It's an important metric to indicate the presence of large model errors and outliers. Values range from zero (0) to infinity, with smaller numbers indicating a better model fit to the data. RMSE is dependent on scale, and should not be used to compare datasets of different sizes.

If you do not specify a metric explicitly, the default behavior is to automatically use:

  • MSE: for regression.
  • F1: for binary classification
  • Accuracy: for multiclass classification.

AutoMLJobStepMetadata

data AutoMLJobStepMetadata Source #

Metadata for an AutoML job step.

See: newAutoMLJobStepMetadata smart constructor.

Constructors

AutoMLJobStepMetadata' 

Fields

  • arn :: Maybe Text

    The Amazon Resource Name (ARN) of the AutoML job.

Instances

Instances details
FromJSON AutoMLJobStepMetadata Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLJobStepMetadata

Methods

parseJSON :: Value -> Parser AutoMLJobStepMetadata #

parseJSONList :: Value -> Parser [AutoMLJobStepMetadata] #

Generic AutoMLJobStepMetadata Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLJobStepMetadata

Associated Types

type Rep AutoMLJobStepMetadata :: Type -> Type #

Methods

from :: AutoMLJobStepMetadata -> Rep AutoMLJobStepMetadata x #

to :: Rep AutoMLJobStepMetadata x -> AutoMLJobStepMetadata #

Read AutoMLJobStepMetadata Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLJobStepMetadata

Methods

readsPrec :: Int -> ReadS AutoMLJobStepMetadata #

readList :: ReadS [AutoMLJobStepMetadata] #

readPrec :: ReadPrec AutoMLJobStepMetadata #

readListPrec :: ReadPrec [AutoMLJobStepMetadata] #

Show AutoMLJobStepMetadata Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLJobStepMetadata

Methods

showsPrec :: Int -> AutoMLJobStepMetadata -> ShowS #

show :: AutoMLJobStepMetadata -> String #

showList :: [AutoMLJobStepMetadata] -> ShowS #

NFData AutoMLJobStepMetadata Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLJobStepMetadata

Methods

rnf :: AutoMLJobStepMetadata -> () #

Eq AutoMLJobStepMetadata Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLJobStepMetadata

Methods

(==) :: AutoMLJobStepMetadata -> AutoMLJobStepMetadata -> Bool #

(/=) :: AutoMLJobStepMetadata -> AutoMLJobStepMetadata -> Bool #

Hashable AutoMLJobStepMetadata Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLJobStepMetadata

Methods

hashWithSalt :: Int -> AutoMLJobStepMetadata -> Int #

hash :: AutoMLJobStepMetadata -> Int #

type Rep AutoMLJobStepMetadata Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLJobStepMetadata

type Rep AutoMLJobStepMetadata = D1 ('MetaData "AutoMLJobStepMetadata" "Amazonka.SageMaker.Types.AutoMLJobStepMetadata" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "AutoMLJobStepMetadata'" 'PrefixI 'True) (S1 ('MetaSel ('Just "arn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))

newAutoMLJobStepMetadata :: AutoMLJobStepMetadata Source #

Create a value of AutoMLJobStepMetadata with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:arn:AutoMLJobStepMetadata', autoMLJobStepMetadata_arn - The Amazon Resource Name (ARN) of the AutoML job.

autoMLJobStepMetadata_arn :: Lens' AutoMLJobStepMetadata (Maybe Text) Source #

The Amazon Resource Name (ARN) of the AutoML job.

AutoMLJobSummary

data AutoMLJobSummary Source #

Provides a summary about an AutoML job.

See: newAutoMLJobSummary smart constructor.

Constructors

AutoMLJobSummary' 

Fields

Instances

Instances details
FromJSON AutoMLJobSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLJobSummary

Methods

parseJSON :: Value -> Parser AutoMLJobSummary #

parseJSONList :: Value -> Parser [AutoMLJobSummary] #

Generic AutoMLJobSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLJobSummary

Associated Types

type Rep AutoMLJobSummary :: Type -> Type #

Methods

from :: AutoMLJobSummary -> Rep AutoMLJobSummary x #

to :: Rep AutoMLJobSummary x -> AutoMLJobSummary #

Read AutoMLJobSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLJobSummary

Methods

readsPrec :: Int -> ReadS AutoMLJobSummary #

readList :: ReadS [AutoMLJobSummary] #

readPrec :: ReadPrec AutoMLJobSummary #

readListPrec :: ReadPrec [AutoMLJobSummary] #

Show AutoMLJobSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLJobSummary

Methods

showsPrec :: Int -> AutoMLJobSummary -> ShowS #

show :: AutoMLJobSummary -> String #

showList :: [AutoMLJobSummary] -> ShowS #

NFData AutoMLJobSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLJobSummary

Methods

rnf :: AutoMLJobSummary -> () #

Eq AutoMLJobSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLJobSummary

Methods

(==) :: AutoMLJobSummary -> AutoMLJobSummary -> Bool #

(/=) :: AutoMLJobSummary -> AutoMLJobSummary -> Bool #

Hashable AutoMLJobSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLJobSummary

Methods

hashWithSalt :: Int -> AutoMLJobSummary -> Int #

hash :: AutoMLJobSummary -> Int #

type Rep AutoMLJobSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLJobSummary

type Rep AutoMLJobSummary = D1 ('MetaData "AutoMLJobSummary" "Amazonka.SageMaker.Types.AutoMLJobSummary" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "AutoMLJobSummary'" 'PrefixI 'True) (((S1 ('MetaSel ('Just "endTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :*: S1 ('MetaSel ('Just "failureReason") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))) :*: (S1 ('MetaSel ('Just "partialFailureReasons") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe (NonEmpty AutoMLPartialFailureReason))) :*: S1 ('MetaSel ('Just "autoMLJobName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text))) :*: ((S1 ('MetaSel ('Just "autoMLJobArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: S1 ('MetaSel ('Just "autoMLJobStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 AutoMLJobStatus)) :*: (S1 ('MetaSel ('Just "autoMLJobSecondaryStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 AutoMLJobSecondaryStatus) :*: (S1 ('MetaSel ('Just "creationTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 POSIX) :*: S1 ('MetaSel ('Just "lastModifiedTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 POSIX))))))

newAutoMLJobSummary Source #

Arguments

:: Text

$sel:autoMLJobName:AutoMLJobSummary'

-> Text

$sel:autoMLJobArn:AutoMLJobSummary'

-> AutoMLJobStatus

$sel:autoMLJobStatus:AutoMLJobSummary'

-> AutoMLJobSecondaryStatus

$sel:autoMLJobSecondaryStatus:AutoMLJobSummary'

-> UTCTime

$sel:creationTime:AutoMLJobSummary'

-> UTCTime

$sel:lastModifiedTime:AutoMLJobSummary'

-> AutoMLJobSummary 

Create a value of AutoMLJobSummary with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:endTime:AutoMLJobSummary', autoMLJobSummary_endTime - The end time of an AutoML job.

$sel:failureReason:AutoMLJobSummary', autoMLJobSummary_failureReason - The failure reason of an AutoML job.

$sel:partialFailureReasons:AutoMLJobSummary', autoMLJobSummary_partialFailureReasons - The list of reasons for partial failures within an AutoML job.

$sel:autoMLJobName:AutoMLJobSummary', autoMLJobSummary_autoMLJobName - The name of the AutoML job you are requesting.

$sel:autoMLJobArn:AutoMLJobSummary', autoMLJobSummary_autoMLJobArn - The ARN of the AutoML job.

$sel:autoMLJobStatus:AutoMLJobSummary', autoMLJobSummary_autoMLJobStatus - The status of the AutoML job.

$sel:autoMLJobSecondaryStatus:AutoMLJobSummary', autoMLJobSummary_autoMLJobSecondaryStatus - The secondary status of the AutoML job.

$sel:creationTime:AutoMLJobSummary', autoMLJobSummary_creationTime - When the AutoML job was created.

$sel:lastModifiedTime:AutoMLJobSummary', autoMLJobSummary_lastModifiedTime - When the AutoML job was last modified.

autoMLJobSummary_endTime :: Lens' AutoMLJobSummary (Maybe UTCTime) Source #

The end time of an AutoML job.

autoMLJobSummary_failureReason :: Lens' AutoMLJobSummary (Maybe Text) Source #

The failure reason of an AutoML job.

autoMLJobSummary_partialFailureReasons :: Lens' AutoMLJobSummary (Maybe (NonEmpty AutoMLPartialFailureReason)) Source #

The list of reasons for partial failures within an AutoML job.

autoMLJobSummary_autoMLJobName :: Lens' AutoMLJobSummary Text Source #

The name of the AutoML job you are requesting.

autoMLJobSummary_autoMLJobArn :: Lens' AutoMLJobSummary Text Source #

The ARN of the AutoML job.

autoMLJobSummary_autoMLJobStatus :: Lens' AutoMLJobSummary AutoMLJobStatus Source #

The status of the AutoML job.

autoMLJobSummary_autoMLJobSecondaryStatus :: Lens' AutoMLJobSummary AutoMLJobSecondaryStatus Source #

The secondary status of the AutoML job.

autoMLJobSummary_creationTime :: Lens' AutoMLJobSummary UTCTime Source #

When the AutoML job was created.

autoMLJobSummary_lastModifiedTime :: Lens' AutoMLJobSummary UTCTime Source #

When the AutoML job was last modified.

AutoMLOutputDataConfig

data AutoMLOutputDataConfig Source #

The output data configuration.

See: newAutoMLOutputDataConfig smart constructor.

Constructors

AutoMLOutputDataConfig' 

Fields

Instances

Instances details
FromJSON AutoMLOutputDataConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLOutputDataConfig

Methods

parseJSON :: Value -> Parser AutoMLOutputDataConfig #

parseJSONList :: Value -> Parser [AutoMLOutputDataConfig] #

ToJSON AutoMLOutputDataConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLOutputDataConfig

Methods

toJSON :: AutoMLOutputDataConfig -> Value #

toEncoding :: AutoMLOutputDataConfig -> Encoding #

toJSONList :: [AutoMLOutputDataConfig] -> Value #

toEncodingList :: [AutoMLOutputDataConfig] -> Encoding #

Generic AutoMLOutputDataConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLOutputDataConfig

Associated Types

type Rep AutoMLOutputDataConfig :: Type -> Type #

Methods

from :: AutoMLOutputDataConfig -> Rep AutoMLOutputDataConfig x #

to :: Rep AutoMLOutputDataConfig x -> AutoMLOutputDataConfig #

Read AutoMLOutputDataConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLOutputDataConfig

Methods

readsPrec :: Int -> ReadS AutoMLOutputDataConfig #

readList :: ReadS [AutoMLOutputDataConfig] #

readPrec :: ReadPrec AutoMLOutputDataConfig #

readListPrec :: ReadPrec [AutoMLOutputDataConfig] #

Show AutoMLOutputDataConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLOutputDataConfig

Methods

showsPrec :: Int -> AutoMLOutputDataConfig -> ShowS #

show :: AutoMLOutputDataConfig -> String #

showList :: [AutoMLOutputDataConfig] -> ShowS #

NFData AutoMLOutputDataConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLOutputDataConfig

Methods

rnf :: AutoMLOutputDataConfig -> () #

Eq AutoMLOutputDataConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLOutputDataConfig

Methods

(==) :: AutoMLOutputDataConfig -> AutoMLOutputDataConfig -> Bool #

(/=) :: AutoMLOutputDataConfig -> AutoMLOutputDataConfig -> Bool #

Hashable AutoMLOutputDataConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLOutputDataConfig

Methods

hashWithSalt :: Int -> AutoMLOutputDataConfig -> Int #

hash :: AutoMLOutputDataConfig -> Int #

type Rep AutoMLOutputDataConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLOutputDataConfig

type Rep AutoMLOutputDataConfig = D1 ('MetaData "AutoMLOutputDataConfig" "Amazonka.SageMaker.Types.AutoMLOutputDataConfig" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "AutoMLOutputDataConfig'" 'PrefixI 'True) (S1 ('MetaSel ('Just "kmsKeyId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "s3OutputPath") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))

newAutoMLOutputDataConfig Source #

Arguments

:: Text

$sel:s3OutputPath:AutoMLOutputDataConfig'

-> AutoMLOutputDataConfig 

Create a value of AutoMLOutputDataConfig with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:kmsKeyId:AutoMLOutputDataConfig', autoMLOutputDataConfig_kmsKeyId - The Key Management Service (KMS) encryption key ID.

$sel:s3OutputPath:AutoMLOutputDataConfig', autoMLOutputDataConfig_s3OutputPath - The Amazon S3 output path. Must be 128 characters or less.

autoMLOutputDataConfig_kmsKeyId :: Lens' AutoMLOutputDataConfig (Maybe Text) Source #

The Key Management Service (KMS) encryption key ID.

autoMLOutputDataConfig_s3OutputPath :: Lens' AutoMLOutputDataConfig Text Source #

The Amazon S3 output path. Must be 128 characters or less.

AutoMLPartialFailureReason

data AutoMLPartialFailureReason Source #

The reason for a partial failure of an AutoML job.

See: newAutoMLPartialFailureReason smart constructor.

Constructors

AutoMLPartialFailureReason' 

Fields

Instances

Instances details
FromJSON AutoMLPartialFailureReason Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLPartialFailureReason

Methods

parseJSON :: Value -> Parser AutoMLPartialFailureReason #

parseJSONList :: Value -> Parser [AutoMLPartialFailureReason] #

Generic AutoMLPartialFailureReason Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLPartialFailureReason

Associated Types

type Rep AutoMLPartialFailureReason :: Type -> Type #

Methods

from :: AutoMLPartialFailureReason -> Rep AutoMLPartialFailureReason x #

to :: Rep AutoMLPartialFailureReason x -> AutoMLPartialFailureReason #

Read AutoMLPartialFailureReason Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLPartialFailureReason

Methods

readsPrec :: Int -> ReadS AutoMLPartialFailureReason #

readList :: ReadS [AutoMLPartialFailureReason] #

readPrec :: ReadPrec AutoMLPartialFailureReason #

readListPrec :: ReadPrec [AutoMLPartialFailureReason] #

Show AutoMLPartialFailureReason Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLPartialFailureReason

Methods

showsPrec :: Int -> AutoMLPartialFailureReason -> ShowS #

show :: AutoMLPartialFailureReason -> String #

showList :: [AutoMLPartialFailureReason] -> ShowS #

NFData AutoMLPartialFailureReason Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLPartialFailureReason

Methods

rnf :: AutoMLPartialFailureReason -> () #

Eq AutoMLPartialFailureReason Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLPartialFailureReason

Methods

(==) :: AutoMLPartialFailureReason -> AutoMLPartialFailureReason -> Bool #

(/=) :: AutoMLPartialFailureReason -> AutoMLPartialFailureReason -> Bool #

Hashable AutoMLPartialFailureReason Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLPartialFailureReason

Methods

hashWithSalt :: Int -> AutoMLPartialFailureReason -> Int #

hash :: AutoMLPartialFailureReason -> Int #

type Rep AutoMLPartialFailureReason Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLPartialFailureReason

type Rep AutoMLPartialFailureReason = D1 ('MetaData "AutoMLPartialFailureReason" "Amazonka.SageMaker.Types.AutoMLPartialFailureReason" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "AutoMLPartialFailureReason'" 'PrefixI 'True) (S1 ('MetaSel ('Just "partialFailureMessage") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))

newAutoMLPartialFailureReason :: AutoMLPartialFailureReason Source #

Create a value of AutoMLPartialFailureReason with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:partialFailureMessage:AutoMLPartialFailureReason', autoMLPartialFailureReason_partialFailureMessage - The message containing the reason for a partial failure of an AutoML job.

autoMLPartialFailureReason_partialFailureMessage :: Lens' AutoMLPartialFailureReason (Maybe Text) Source #

The message containing the reason for a partial failure of an AutoML job.

AutoMLS3DataSource

data AutoMLS3DataSource Source #

The Amazon S3 data source.

See: newAutoMLS3DataSource smart constructor.

Constructors

AutoMLS3DataSource' 

Fields

  • s3DataType :: AutoMLS3DataType

    The data type.

    A ManifestFile should have the format shown below:

    [ {"prefix": "s3://DOC-EXAMPLE-BUCKET/DOC-EXAMPLE-FOLDER/DOC-EXAMPLE-PREFIX/"},
    "DOC-EXAMPLE-RELATIVE-PATH/DOC-EXAMPLE-FOLDER/DATA-1",
    "DOC-EXAMPLE-RELATIVE-PATH/DOC-EXAMPLE-FOLDER/DATA-2",
    ... "DOC-EXAMPLE-RELATIVE-PATH/DOC-EXAMPLE-FOLDER/DATA-N" ]

    An S3Prefix should have the following format:

    s3://DOC-EXAMPLE-BUCKET/DOC-EXAMPLE-FOLDER-OR-FILE
  • s3Uri :: Text

    The URL to the Amazon S3 data source.

Instances

Instances details
FromJSON AutoMLS3DataSource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLS3DataSource

Methods

parseJSON :: Value -> Parser AutoMLS3DataSource #

parseJSONList :: Value -> Parser [AutoMLS3DataSource] #

ToJSON AutoMLS3DataSource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLS3DataSource

Methods

toJSON :: AutoMLS3DataSource -> Value #

toEncoding :: AutoMLS3DataSource -> Encoding #

toJSONList :: [AutoMLS3DataSource] -> Value #

toEncodingList :: [AutoMLS3DataSource] -> Encoding #

Generic AutoMLS3DataSource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLS3DataSource

Associated Types

type Rep AutoMLS3DataSource :: Type -> Type #

Methods

from :: AutoMLS3DataSource -> Rep AutoMLS3DataSource x #

to :: Rep AutoMLS3DataSource x -> AutoMLS3DataSource #

Read AutoMLS3DataSource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLS3DataSource

Methods

readsPrec :: Int -> ReadS AutoMLS3DataSource #

readList :: ReadS [AutoMLS3DataSource] #

readPrec :: ReadPrec AutoMLS3DataSource #

readListPrec :: ReadPrec [AutoMLS3DataSource] #

Show AutoMLS3DataSource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLS3DataSource

Methods

showsPrec :: Int -> AutoMLS3DataSource -> ShowS #

show :: AutoMLS3DataSource -> String #

showList :: [AutoMLS3DataSource] -> ShowS #

NFData AutoMLS3DataSource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLS3DataSource

Methods

rnf :: AutoMLS3DataSource -> () #

Eq AutoMLS3DataSource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLS3DataSource

Methods

(==) :: AutoMLS3DataSource -> AutoMLS3DataSource -> Bool #

(/=) :: AutoMLS3DataSource -> AutoMLS3DataSource -> Bool #

Hashable AutoMLS3DataSource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLS3DataSource

Methods

hashWithSalt :: Int -> AutoMLS3DataSource -> Int #

hash :: AutoMLS3DataSource -> Int #

type Rep AutoMLS3DataSource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLS3DataSource

type Rep AutoMLS3DataSource = D1 ('MetaData "AutoMLS3DataSource" "Amazonka.SageMaker.Types.AutoMLS3DataSource" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "AutoMLS3DataSource'" 'PrefixI 'True) (S1 ('MetaSel ('Just "s3DataType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 AutoMLS3DataType) :*: S1 ('MetaSel ('Just "s3Uri") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))

newAutoMLS3DataSource Source #

Arguments

:: AutoMLS3DataType

$sel:s3DataType:AutoMLS3DataSource'

-> Text

$sel:s3Uri:AutoMLS3DataSource'

-> AutoMLS3DataSource 

Create a value of AutoMLS3DataSource with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:s3DataType:AutoMLS3DataSource', autoMLS3DataSource_s3DataType - The data type.

A ManifestFile should have the format shown below:

[ {"prefix": "s3://DOC-EXAMPLE-BUCKET/DOC-EXAMPLE-FOLDER/DOC-EXAMPLE-PREFIX/"},
"DOC-EXAMPLE-RELATIVE-PATH/DOC-EXAMPLE-FOLDER/DATA-1",
"DOC-EXAMPLE-RELATIVE-PATH/DOC-EXAMPLE-FOLDER/DATA-2",
... "DOC-EXAMPLE-RELATIVE-PATH/DOC-EXAMPLE-FOLDER/DATA-N" ]

An S3Prefix should have the following format:

s3://DOC-EXAMPLE-BUCKET/DOC-EXAMPLE-FOLDER-OR-FILE

$sel:s3Uri:AutoMLS3DataSource', autoMLS3DataSource_s3Uri - The URL to the Amazon S3 data source.

autoMLS3DataSource_s3DataType :: Lens' AutoMLS3DataSource AutoMLS3DataType Source #

The data type.

A ManifestFile should have the format shown below:

[ {"prefix": "s3://DOC-EXAMPLE-BUCKET/DOC-EXAMPLE-FOLDER/DOC-EXAMPLE-PREFIX/"},
"DOC-EXAMPLE-RELATIVE-PATH/DOC-EXAMPLE-FOLDER/DATA-1",
"DOC-EXAMPLE-RELATIVE-PATH/DOC-EXAMPLE-FOLDER/DATA-2",
... "DOC-EXAMPLE-RELATIVE-PATH/DOC-EXAMPLE-FOLDER/DATA-N" ]

An S3Prefix should have the following format:

s3://DOC-EXAMPLE-BUCKET/DOC-EXAMPLE-FOLDER-OR-FILE

autoMLS3DataSource_s3Uri :: Lens' AutoMLS3DataSource Text Source #

The URL to the Amazon S3 data source.

AutoMLSecurityConfig

data AutoMLSecurityConfig Source #

Security options.

See: newAutoMLSecurityConfig smart constructor.

Constructors

AutoMLSecurityConfig' 

Fields

Instances

Instances details
FromJSON AutoMLSecurityConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLSecurityConfig

Methods

parseJSON :: Value -> Parser AutoMLSecurityConfig #

parseJSONList :: Value -> Parser [AutoMLSecurityConfig] #

ToJSON AutoMLSecurityConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLSecurityConfig

Methods

toJSON :: AutoMLSecurityConfig -> Value #

toEncoding :: AutoMLSecurityConfig -> Encoding #

toJSONList :: [AutoMLSecurityConfig] -> Value #

toEncodingList :: [AutoMLSecurityConfig] -> Encoding #

Generic AutoMLSecurityConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLSecurityConfig

Associated Types

type Rep AutoMLSecurityConfig :: Type -> Type #

Methods

from :: AutoMLSecurityConfig -> Rep AutoMLSecurityConfig x #

to :: Rep AutoMLSecurityConfig x -> AutoMLSecurityConfig #

Read AutoMLSecurityConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLSecurityConfig

Methods

readsPrec :: Int -> ReadS AutoMLSecurityConfig #

readList :: ReadS [AutoMLSecurityConfig] #

readPrec :: ReadPrec AutoMLSecurityConfig #

readListPrec :: ReadPrec [AutoMLSecurityConfig] #

Show AutoMLSecurityConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLSecurityConfig

Methods

showsPrec :: Int -> AutoMLSecurityConfig -> ShowS #

show :: AutoMLSecurityConfig -> String #

showList :: [AutoMLSecurityConfig] -> ShowS #

NFData AutoMLSecurityConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLSecurityConfig

Methods

rnf :: AutoMLSecurityConfig -> () #

Eq AutoMLSecurityConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLSecurityConfig

Methods

(==) :: AutoMLSecurityConfig -> AutoMLSecurityConfig -> Bool #

(/=) :: AutoMLSecurityConfig -> AutoMLSecurityConfig -> Bool #

Hashable AutoMLSecurityConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLSecurityConfig

Methods

hashWithSalt :: Int -> AutoMLSecurityConfig -> Int #

hash :: AutoMLSecurityConfig -> Int #

type Rep AutoMLSecurityConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoMLSecurityConfig

type Rep AutoMLSecurityConfig = D1 ('MetaData "AutoMLSecurityConfig" "Amazonka.SageMaker.Types.AutoMLSecurityConfig" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "AutoMLSecurityConfig'" 'PrefixI 'True) (S1 ('MetaSel ('Just "enableInterContainerTrafficEncryption") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Bool)) :*: (S1 ('MetaSel ('Just "volumeKmsKeyId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "vpcConfig") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe VpcConfig)))))

newAutoMLSecurityConfig :: AutoMLSecurityConfig Source #

Create a value of AutoMLSecurityConfig with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:enableInterContainerTrafficEncryption:AutoMLSecurityConfig', autoMLSecurityConfig_enableInterContainerTrafficEncryption - Whether to use traffic encryption between the container layers.

$sel:volumeKmsKeyId:AutoMLSecurityConfig', autoMLSecurityConfig_volumeKmsKeyId - The key used to encrypt stored data.

$sel:vpcConfig:AutoMLSecurityConfig', autoMLSecurityConfig_vpcConfig - The VPC configuration.

autoMLSecurityConfig_enableInterContainerTrafficEncryption :: Lens' AutoMLSecurityConfig (Maybe Bool) Source #

Whether to use traffic encryption between the container layers.

autoMLSecurityConfig_volumeKmsKeyId :: Lens' AutoMLSecurityConfig (Maybe Text) Source #

The key used to encrypt stored data.

autoMLSecurityConfig_vpcConfig :: Lens' AutoMLSecurityConfig (Maybe VpcConfig) Source #

The VPC configuration.

AutoRollbackConfig

data AutoRollbackConfig Source #

Automatic rollback configuration for handling endpoint deployment failures and recovery.

See: newAutoRollbackConfig smart constructor.

Constructors

AutoRollbackConfig' 

Fields

  • alarms :: Maybe (NonEmpty Alarm)

    List of CloudWatch alarms in your account that are configured to monitor metrics on an endpoint. If any alarms are tripped during a deployment, SageMaker rolls back the deployment.

Instances

Instances details
FromJSON AutoRollbackConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoRollbackConfig

Methods

parseJSON :: Value -> Parser AutoRollbackConfig #

parseJSONList :: Value -> Parser [AutoRollbackConfig] #

ToJSON AutoRollbackConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoRollbackConfig

Methods

toJSON :: AutoRollbackConfig -> Value #

toEncoding :: AutoRollbackConfig -> Encoding #

toJSONList :: [AutoRollbackConfig] -> Value #

toEncodingList :: [AutoRollbackConfig] -> Encoding #

Generic AutoRollbackConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoRollbackConfig

Associated Types

type Rep AutoRollbackConfig :: Type -> Type #

Methods

from :: AutoRollbackConfig -> Rep AutoRollbackConfig x #

to :: Rep AutoRollbackConfig x -> AutoRollbackConfig #

Read AutoRollbackConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoRollbackConfig

Methods

readsPrec :: Int -> ReadS AutoRollbackConfig #

readList :: ReadS [AutoRollbackConfig] #

readPrec :: ReadPrec AutoRollbackConfig #

readListPrec :: ReadPrec [AutoRollbackConfig] #

Show AutoRollbackConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoRollbackConfig

Methods

showsPrec :: Int -> AutoRollbackConfig -> ShowS #

show :: AutoRollbackConfig -> String #

showList :: [AutoRollbackConfig] -> ShowS #

NFData AutoRollbackConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoRollbackConfig

Methods

rnf :: AutoRollbackConfig -> () #

Eq AutoRollbackConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoRollbackConfig

Methods

(==) :: AutoRollbackConfig -> AutoRollbackConfig -> Bool #

(/=) :: AutoRollbackConfig -> AutoRollbackConfig -> Bool #

Hashable AutoRollbackConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoRollbackConfig

Methods

hashWithSalt :: Int -> AutoRollbackConfig -> Int #

hash :: AutoRollbackConfig -> Int #

type Rep AutoRollbackConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.AutoRollbackConfig

type Rep AutoRollbackConfig = D1 ('MetaData "AutoRollbackConfig" "Amazonka.SageMaker.Types.AutoRollbackConfig" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "AutoRollbackConfig'" 'PrefixI 'True) (S1 ('MetaSel ('Just "alarms") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe (NonEmpty Alarm)))))

newAutoRollbackConfig :: AutoRollbackConfig Source #

Create a value of AutoRollbackConfig with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:alarms:AutoRollbackConfig', autoRollbackConfig_alarms - List of CloudWatch alarms in your account that are configured to monitor metrics on an endpoint. If any alarms are tripped during a deployment, SageMaker rolls back the deployment.

autoRollbackConfig_alarms :: Lens' AutoRollbackConfig (Maybe (NonEmpty Alarm)) Source #

List of CloudWatch alarms in your account that are configured to monitor metrics on an endpoint. If any alarms are tripped during a deployment, SageMaker rolls back the deployment.

BatchDataCaptureConfig

data BatchDataCaptureConfig Source #

Configuration to control how SageMaker captures inference data for batch transform jobs.

See: newBatchDataCaptureConfig smart constructor.

Constructors

BatchDataCaptureConfig' 

Fields

  • generateInferenceId :: Maybe Bool

    Flag that indicates whether to append inference id to the output.

  • kmsKeyId :: Maybe Text

    The Amazon Resource Name (ARN) of a Amazon Web Services Key Management Service key that SageMaker uses to encrypt data on the storage volume attached to the ML compute instance that hosts the batch transform job.

    The KmsKeyId can be any of the following formats:

    • Key ID: 1234abcd-12ab-34cd-56ef-1234567890ab
    • Key ARN: arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab
    • Alias name: alias/ExampleAlias
    • Alias name ARN: arn:aws:kms:us-west-2:111122223333:alias/ExampleAlias
  • destinationS3Uri :: Text

    The Amazon S3 location being used to capture the data.

Instances

Instances details
FromJSON BatchDataCaptureConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.BatchDataCaptureConfig

Methods

parseJSON :: Value -> Parser BatchDataCaptureConfig #

parseJSONList :: Value -> Parser [BatchDataCaptureConfig] #

ToJSON BatchDataCaptureConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.BatchDataCaptureConfig

Methods

toJSON :: BatchDataCaptureConfig -> Value #

toEncoding :: BatchDataCaptureConfig -> Encoding #

toJSONList :: [BatchDataCaptureConfig] -> Value #

toEncodingList :: [BatchDataCaptureConfig] -> Encoding #

Generic BatchDataCaptureConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.BatchDataCaptureConfig

Associated Types

type Rep BatchDataCaptureConfig :: Type -> Type #

Methods

from :: BatchDataCaptureConfig -> Rep BatchDataCaptureConfig x #

to :: Rep BatchDataCaptureConfig x -> BatchDataCaptureConfig #

Read BatchDataCaptureConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.BatchDataCaptureConfig

Methods

readsPrec :: Int -> ReadS BatchDataCaptureConfig #

readList :: ReadS [BatchDataCaptureConfig] #

readPrec :: ReadPrec BatchDataCaptureConfig #

readListPrec :: ReadPrec [BatchDataCaptureConfig] #

Show BatchDataCaptureConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.BatchDataCaptureConfig

Methods

showsPrec :: Int -> BatchDataCaptureConfig -> ShowS #

show :: BatchDataCaptureConfig -> String #

showList :: [BatchDataCaptureConfig] -> ShowS #

NFData BatchDataCaptureConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.BatchDataCaptureConfig

Methods

rnf :: BatchDataCaptureConfig -> () #

Eq BatchDataCaptureConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.BatchDataCaptureConfig

Methods

(==) :: BatchDataCaptureConfig -> BatchDataCaptureConfig -> Bool #

(/=) :: BatchDataCaptureConfig -> BatchDataCaptureConfig -> Bool #

Hashable BatchDataCaptureConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.BatchDataCaptureConfig

Methods

hashWithSalt :: Int -> BatchDataCaptureConfig -> Int #

hash :: BatchDataCaptureConfig -> Int #

type Rep BatchDataCaptureConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.BatchDataCaptureConfig

type Rep BatchDataCaptureConfig = D1 ('MetaData "BatchDataCaptureConfig" "Amazonka.SageMaker.Types.BatchDataCaptureConfig" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "BatchDataCaptureConfig'" 'PrefixI 'True) (S1 ('MetaSel ('Just "generateInferenceId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Bool)) :*: (S1 ('MetaSel ('Just "kmsKeyId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "destinationS3Uri") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text))))

newBatchDataCaptureConfig Source #

Arguments

:: Text

$sel:destinationS3Uri:BatchDataCaptureConfig'

-> BatchDataCaptureConfig 

Create a value of BatchDataCaptureConfig with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:generateInferenceId:BatchDataCaptureConfig', batchDataCaptureConfig_generateInferenceId - Flag that indicates whether to append inference id to the output.

$sel:kmsKeyId:BatchDataCaptureConfig', batchDataCaptureConfig_kmsKeyId - The Amazon Resource Name (ARN) of a Amazon Web Services Key Management Service key that SageMaker uses to encrypt data on the storage volume attached to the ML compute instance that hosts the batch transform job.

The KmsKeyId can be any of the following formats:

  • Key ID: 1234abcd-12ab-34cd-56ef-1234567890ab
  • Key ARN: arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab
  • Alias name: alias/ExampleAlias
  • Alias name ARN: arn:aws:kms:us-west-2:111122223333:alias/ExampleAlias

$sel:destinationS3Uri:BatchDataCaptureConfig', batchDataCaptureConfig_destinationS3Uri - The Amazon S3 location being used to capture the data.

batchDataCaptureConfig_generateInferenceId :: Lens' BatchDataCaptureConfig (Maybe Bool) Source #

Flag that indicates whether to append inference id to the output.

batchDataCaptureConfig_kmsKeyId :: Lens' BatchDataCaptureConfig (Maybe Text) Source #

The Amazon Resource Name (ARN) of a Amazon Web Services Key Management Service key that SageMaker uses to encrypt data on the storage volume attached to the ML compute instance that hosts the batch transform job.

The KmsKeyId can be any of the following formats:

  • Key ID: 1234abcd-12ab-34cd-56ef-1234567890ab
  • Key ARN: arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab
  • Alias name: alias/ExampleAlias
  • Alias name ARN: arn:aws:kms:us-west-2:111122223333:alias/ExampleAlias

batchDataCaptureConfig_destinationS3Uri :: Lens' BatchDataCaptureConfig Text Source #

The Amazon S3 location being used to capture the data.

BatchDescribeModelPackageError

data BatchDescribeModelPackageError Source #

The error code and error description associated with the resource.

See: newBatchDescribeModelPackageError smart constructor.

Constructors

BatchDescribeModelPackageError' 

Fields

Instances

Instances details
FromJSON BatchDescribeModelPackageError Source # 
Instance details

Defined in Amazonka.SageMaker.Types.BatchDescribeModelPackageError

Methods

parseJSON :: Value -> Parser BatchDescribeModelPackageError #

parseJSONList :: Value -> Parser [BatchDescribeModelPackageError] #

Generic BatchDescribeModelPackageError Source # 
Instance details

Defined in Amazonka.SageMaker.Types.BatchDescribeModelPackageError

Associated Types

type Rep BatchDescribeModelPackageError :: Type -> Type #

Methods

from :: BatchDescribeModelPackageError -> Rep BatchDescribeModelPackageError x #

to :: Rep BatchDescribeModelPackageError x -> BatchDescribeModelPackageError #

Read BatchDescribeModelPackageError Source # 
Instance details

Defined in Amazonka.SageMaker.Types.BatchDescribeModelPackageError

Methods

readsPrec :: Int -> ReadS BatchDescribeModelPackageError #

readList :: ReadS [BatchDescribeModelPackageError] #

readPrec :: ReadPrec BatchDescribeModelPackageError #

readListPrec :: ReadPrec [BatchDescribeModelPackageError] #

Show BatchDescribeModelPackageError Source # 
Instance details

Defined in Amazonka.SageMaker.Types.BatchDescribeModelPackageError

Methods

showsPrec :: Int -> BatchDescribeModelPackageError -> ShowS #

show :: BatchDescribeModelPackageError -> String #

showList :: [BatchDescribeModelPackageError] -> ShowS #

NFData BatchDescribeModelPackageError Source # 
Instance details

Defined in Amazonka.SageMaker.Types.BatchDescribeModelPackageError

Methods

rnf :: BatchDescribeModelPackageError -> () #

Eq BatchDescribeModelPackageError Source # 
Instance details

Defined in Amazonka.SageMaker.Types.BatchDescribeModelPackageError

Methods

(==) :: BatchDescribeModelPackageError -> BatchDescribeModelPackageError -> Bool #

(/=) :: BatchDescribeModelPackageError -> BatchDescribeModelPackageError -> Bool #

Hashable BatchDescribeModelPackageError Source # 
Instance details

Defined in Amazonka.SageMaker.Types.BatchDescribeModelPackageError

Methods

hashWithSalt :: Int -> BatchDescribeModelPackageError -> Int #

hash :: BatchDescribeModelPackageError -> Int #

type Rep BatchDescribeModelPackageError Source # 
Instance details

Defined in Amazonka.SageMaker.Types.BatchDescribeModelPackageError

type Rep BatchDescribeModelPackageError = D1 ('MetaData "BatchDescribeModelPackageError" "Amazonka.SageMaker.Types.BatchDescribeModelPackageError" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "BatchDescribeModelPackageError'" 'PrefixI 'True) (S1 ('MetaSel ('Just "errorCode") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: S1 ('MetaSel ('Just "errorResponse") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))

newBatchDescribeModelPackageError Source #

Arguments

:: Text

$sel:errorCode:BatchDescribeModelPackageError'

-> Text

$sel:errorResponse:BatchDescribeModelPackageError'

-> BatchDescribeModelPackageError 

Create a value of BatchDescribeModelPackageError with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:errorCode:BatchDescribeModelPackageError', batchDescribeModelPackageError_errorCode -

$sel:errorResponse:BatchDescribeModelPackageError', batchDescribeModelPackageError_errorResponse -

batchDescribeModelPackageError_errorCode :: Lens' BatchDescribeModelPackageError Text Source #

batchDescribeModelPackageError_errorResponse :: Lens' BatchDescribeModelPackageError Text Source #

BatchDescribeModelPackageSummary

data BatchDescribeModelPackageSummary Source #

Provides summary information about the model package.

See: newBatchDescribeModelPackageSummary smart constructor.

Constructors

BatchDescribeModelPackageSummary' 

Fields

Instances

Instances details
FromJSON BatchDescribeModelPackageSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.BatchDescribeModelPackageSummary

Methods

parseJSON :: Value -> Parser BatchDescribeModelPackageSummary #

parseJSONList :: Value -> Parser [BatchDescribeModelPackageSummary] #

Generic BatchDescribeModelPackageSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.BatchDescribeModelPackageSummary

Associated Types

type Rep BatchDescribeModelPackageSummary :: Type -> Type #

Methods

from :: BatchDescribeModelPackageSummary -> Rep BatchDescribeModelPackageSummary x #

to :: Rep BatchDescribeModelPackageSummary x -> BatchDescribeModelPackageSummary #

Read BatchDescribeModelPackageSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.BatchDescribeModelPackageSummary

Methods

readsPrec :: Int -> ReadS BatchDescribeModelPackageSummary #

readList :: ReadS [BatchDescribeModelPackageSummary] #

readPrec :: ReadPrec BatchDescribeModelPackageSummary #

readListPrec :: ReadPrec [BatchDescribeModelPackageSummary] #

Show BatchDescribeModelPackageSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.BatchDescribeModelPackageSummary

Methods

showsPrec :: Int -> BatchDescribeModelPackageSummary -> ShowS #

show :: BatchDescribeModelPackageSummary -> String #

showList :: [BatchDescribeModelPackageSummary] -> ShowS #

NFData BatchDescribeModelPackageSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.BatchDescribeModelPackageSummary

Methods

rnf :: BatchDescribeModelPackageSummary -> () #

Eq BatchDescribeModelPackageSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.BatchDescribeModelPackageSummary

Methods

(==) :: BatchDescribeModelPackageSummary -> BatchDescribeModelPackageSummary -> Bool #

(/=) :: BatchDescribeModelPackageSummary -> BatchDescribeModelPackageSummary -> Bool #

Hashable BatchDescribeModelPackageSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.BatchDescribeModelPackageSummary

Methods

hashWithSalt :: Int -> BatchDescribeModelPackageSummary -> Int #

hash :: BatchDescribeModelPackageSummary -> Int #

type Rep BatchDescribeModelPackageSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.BatchDescribeModelPackageSummary

type Rep BatchDescribeModelPackageSummary = D1 ('MetaData "BatchDescribeModelPackageSummary" "Amazonka.SageMaker.Types.BatchDescribeModelPackageSummary" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "BatchDescribeModelPackageSummary'" 'PrefixI 'True) (((S1 ('MetaSel ('Just "modelApprovalStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ModelApprovalStatus)) :*: S1 ('MetaSel ('Just "modelPackageDescription") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))) :*: (S1 ('MetaSel ('Just "modelPackageVersion") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural)) :*: S1 ('MetaSel ('Just "modelPackageGroupName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text))) :*: ((S1 ('MetaSel ('Just "modelPackageArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: S1 ('MetaSel ('Just "creationTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 POSIX)) :*: (S1 ('MetaSel ('Just "inferenceSpecification") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 InferenceSpecification) :*: S1 ('MetaSel ('Just "modelPackageStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 ModelPackageStatus)))))

newBatchDescribeModelPackageSummary Source #

Arguments

:: Text

$sel:modelPackageGroupName:BatchDescribeModelPackageSummary'

-> Text

$sel:modelPackageArn:BatchDescribeModelPackageSummary'

-> UTCTime

$sel:creationTime:BatchDescribeModelPackageSummary'

-> InferenceSpecification

$sel:inferenceSpecification:BatchDescribeModelPackageSummary'

-> ModelPackageStatus

$sel:modelPackageStatus:BatchDescribeModelPackageSummary'

-> BatchDescribeModelPackageSummary 

Create a value of BatchDescribeModelPackageSummary with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:modelApprovalStatus:BatchDescribeModelPackageSummary', batchDescribeModelPackageSummary_modelApprovalStatus - The approval status of the model.

$sel:modelPackageDescription:BatchDescribeModelPackageSummary', batchDescribeModelPackageSummary_modelPackageDescription - The description of the model package.

$sel:modelPackageVersion:BatchDescribeModelPackageSummary', batchDescribeModelPackageSummary_modelPackageVersion - The version number of a versioned model.

$sel:modelPackageGroupName:BatchDescribeModelPackageSummary', batchDescribeModelPackageSummary_modelPackageGroupName - The group name for the model package

$sel:modelPackageArn:BatchDescribeModelPackageSummary', batchDescribeModelPackageSummary_modelPackageArn - The Amazon Resource Name (ARN) of the model package.

$sel:creationTime:BatchDescribeModelPackageSummary', batchDescribeModelPackageSummary_creationTime - The creation time of the mortgage package summary.

$sel:inferenceSpecification:BatchDescribeModelPackageSummary', batchDescribeModelPackageSummary_inferenceSpecification - Undocumented member.

$sel:modelPackageStatus:BatchDescribeModelPackageSummary', batchDescribeModelPackageSummary_modelPackageStatus - The status of the mortgage package.

batchDescribeModelPackageSummary_modelApprovalStatus :: Lens' BatchDescribeModelPackageSummary (Maybe ModelApprovalStatus) Source #

The approval status of the model.

batchDescribeModelPackageSummary_modelPackageDescription :: Lens' BatchDescribeModelPackageSummary (Maybe Text) Source #

The description of the model package.

batchDescribeModelPackageSummary_modelPackageVersion :: Lens' BatchDescribeModelPackageSummary (Maybe Natural) Source #

The version number of a versioned model.

batchDescribeModelPackageSummary_modelPackageGroupName :: Lens' BatchDescribeModelPackageSummary Text Source #

The group name for the model package

batchDescribeModelPackageSummary_modelPackageArn :: Lens' BatchDescribeModelPackageSummary Text Source #

The Amazon Resource Name (ARN) of the model package.

batchDescribeModelPackageSummary_creationTime :: Lens' BatchDescribeModelPackageSummary UTCTime Source #

The creation time of the mortgage package summary.

batchDescribeModelPackageSummary_inferenceSpecification :: Lens' BatchDescribeModelPackageSummary InferenceSpecification Source #

Undocumented member.

batchDescribeModelPackageSummary_modelPackageStatus :: Lens' BatchDescribeModelPackageSummary ModelPackageStatus Source #

The status of the mortgage package.

BatchTransformInput

data BatchTransformInput Source #

Input object for the batch transform job.

See: newBatchTransformInput smart constructor.

Constructors

BatchTransformInput' 

Fields

Instances

Instances details
FromJSON BatchTransformInput Source # 
Instance details

Defined in Amazonka.SageMaker.Types.BatchTransformInput

Methods

parseJSON :: Value -> Parser BatchTransformInput #

parseJSONList :: Value -> Parser [BatchTransformInput] #

ToJSON BatchTransformInput Source # 
Instance details

Defined in Amazonka.SageMaker.Types.BatchTransformInput

Methods

toJSON :: BatchTransformInput -> Value #

toEncoding :: BatchTransformInput -> Encoding #

toJSONList :: [BatchTransformInput] -> Value #

toEncodingList :: [BatchTransformInput] -> Encoding #

Generic BatchTransformInput Source # 
Instance details

Defined in Amazonka.SageMaker.Types.BatchTransformInput

Associated Types

type Rep BatchTransformInput :: Type -> Type #

Methods

from :: BatchTransformInput -> Rep BatchTransformInput x #

to :: Rep BatchTransformInput x -> BatchTransformInput #

Read BatchTransformInput Source # 
Instance details

Defined in Amazonka.SageMaker.Types.BatchTransformInput

Methods

readsPrec :: Int -> ReadS BatchTransformInput #

readList :: ReadS [BatchTransformInput] #

readPrec :: ReadPrec BatchTransformInput #

readListPrec :: ReadPrec [BatchTransformInput] #

Show BatchTransformInput Source # 
Instance details

Defined in Amazonka.SageMaker.Types.BatchTransformInput

Methods

showsPrec :: Int -> BatchTransformInput -> ShowS #

show :: BatchTransformInput -> String #

showList :: [BatchTransformInput] -> ShowS #

NFData BatchTransformInput Source # 
Instance details

Defined in Amazonka.SageMaker.Types.BatchTransformInput

Methods

rnf :: BatchTransformInput -> () #

Eq BatchTransformInput Source # 
Instance details

Defined in Amazonka.SageMaker.Types.BatchTransformInput

Methods

(==) :: BatchTransformInput -> BatchTransformInput -> Bool #

(/=) :: BatchTransformInput -> BatchTransformInput -> Bool #

Hashable BatchTransformInput Source # 
Instance details

Defined in Amazonka.SageMaker.Types.BatchTransformInput

Methods

hashWithSalt :: Int -> BatchTransformInput -> Int #

hash :: BatchTransformInput -> Int #

type Rep BatchTransformInput Source # 
Instance details

Defined in Amazonka.SageMaker.Types.BatchTransformInput

type Rep BatchTransformInput = D1 ('MetaData "BatchTransformInput" "Amazonka.SageMaker.Types.BatchTransformInput" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "BatchTransformInput'" 'PrefixI 'True) (((S1 ('MetaSel ('Just "endTimeOffset") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "featuresAttribute") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))) :*: (S1 ('MetaSel ('Just "inferenceAttribute") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: (S1 ('MetaSel ('Just "probabilityAttribute") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "probabilityThresholdAttribute") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double))))) :*: ((S1 ('MetaSel ('Just "s3DataDistributionType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ProcessingS3DataDistributionType)) :*: (S1 ('MetaSel ('Just "s3InputMode") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ProcessingS3InputMode)) :*: S1 ('MetaSel ('Just "startTimeOffset") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))) :*: (S1 ('MetaSel ('Just "dataCapturedDestinationS3Uri") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: (S1 ('MetaSel ('Just "datasetFormat") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 MonitoringDatasetFormat) :*: S1 ('MetaSel ('Just "localPath") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text))))))

newBatchTransformInput Source #

Arguments

:: Text

$sel:dataCapturedDestinationS3Uri:BatchTransformInput'

-> MonitoringDatasetFormat

$sel:datasetFormat:BatchTransformInput'

-> Text

$sel:localPath:BatchTransformInput'

-> BatchTransformInput 

Create a value of BatchTransformInput with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:endTimeOffset:BatchTransformInput', batchTransformInput_endTimeOffset - If specified, monitoring jobs substract this time from the end time. For information about using offsets for scheduling monitoring jobs, see Schedule Model Quality Monitoring Jobs.

$sel:featuresAttribute:BatchTransformInput', batchTransformInput_featuresAttribute - The attributes of the input data that are the input features.

$sel:inferenceAttribute:BatchTransformInput', batchTransformInput_inferenceAttribute - The attribute of the input data that represents the ground truth label.

$sel:probabilityAttribute:BatchTransformInput', batchTransformInput_probabilityAttribute - In a classification problem, the attribute that represents the class probability.

$sel:probabilityThresholdAttribute:BatchTransformInput', batchTransformInput_probabilityThresholdAttribute - The threshold for the class probability to be evaluated as a positive result.

$sel:s3DataDistributionType:BatchTransformInput', batchTransformInput_s3DataDistributionType - Whether input data distributed in Amazon S3 is fully replicated or sharded by an S3 key. Defaults to FullyReplicated

$sel:s3InputMode:BatchTransformInput', batchTransformInput_s3InputMode - Whether the Pipe or File is used as the input mode for transferring data for the monitoring job. Pipe mode is recommended for large datasets. File mode is useful for small files that fit in memory. Defaults to File.

$sel:startTimeOffset:BatchTransformInput', batchTransformInput_startTimeOffset - If specified, monitoring jobs substract this time from the start time. For information about using offsets for scheduling monitoring jobs, see Schedule Model Quality Monitoring Jobs.

$sel:dataCapturedDestinationS3Uri:BatchTransformInput', batchTransformInput_dataCapturedDestinationS3Uri - The Amazon S3 location being used to capture the data.

$sel:datasetFormat:BatchTransformInput', batchTransformInput_datasetFormat - The dataset format for your batch transform job.

$sel:localPath:BatchTransformInput', batchTransformInput_localPath - Path to the filesystem where the batch transform data is available to the container.

batchTransformInput_endTimeOffset :: Lens' BatchTransformInput (Maybe Text) Source #

If specified, monitoring jobs substract this time from the end time. For information about using offsets for scheduling monitoring jobs, see Schedule Model Quality Monitoring Jobs.

batchTransformInput_featuresAttribute :: Lens' BatchTransformInput (Maybe Text) Source #

The attributes of the input data that are the input features.

batchTransformInput_inferenceAttribute :: Lens' BatchTransformInput (Maybe Text) Source #

The attribute of the input data that represents the ground truth label.

batchTransformInput_probabilityAttribute :: Lens' BatchTransformInput (Maybe Text) Source #

In a classification problem, the attribute that represents the class probability.

batchTransformInput_probabilityThresholdAttribute :: Lens' BatchTransformInput (Maybe Double) Source #

The threshold for the class probability to be evaluated as a positive result.

batchTransformInput_s3DataDistributionType :: Lens' BatchTransformInput (Maybe ProcessingS3DataDistributionType) Source #

Whether input data distributed in Amazon S3 is fully replicated or sharded by an S3 key. Defaults to FullyReplicated

batchTransformInput_s3InputMode :: Lens' BatchTransformInput (Maybe ProcessingS3InputMode) Source #

Whether the Pipe or File is used as the input mode for transferring data for the monitoring job. Pipe mode is recommended for large datasets. File mode is useful for small files that fit in memory. Defaults to File.

batchTransformInput_startTimeOffset :: Lens' BatchTransformInput (Maybe Text) Source #

If specified, monitoring jobs substract this time from the start time. For information about using offsets for scheduling monitoring jobs, see Schedule Model Quality Monitoring Jobs.

batchTransformInput_dataCapturedDestinationS3Uri :: Lens' BatchTransformInput Text Source #

The Amazon S3 location being used to capture the data.

batchTransformInput_datasetFormat :: Lens' BatchTransformInput MonitoringDatasetFormat Source #

The dataset format for your batch transform job.

batchTransformInput_localPath :: Lens' BatchTransformInput Text Source #

Path to the filesystem where the batch transform data is available to the container.

Bias

data Bias Source #

Contains bias metrics for a model.

See: newBias smart constructor.

Constructors

Bias' 

Fields

Instances

Instances details
FromJSON Bias Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Bias

Methods

parseJSON :: Value -> Parser Bias #

parseJSONList :: Value -> Parser [Bias] #

ToJSON Bias Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Bias

Methods

toJSON :: Bias -> Value #

toEncoding :: Bias -> Encoding #

toJSONList :: [Bias] -> Value #

toEncodingList :: [Bias] -> Encoding #

Generic Bias Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Bias

Associated Types

type Rep Bias :: Type -> Type #

Methods

from :: Bias -> Rep Bias x #

to :: Rep Bias x -> Bias #

Read Bias Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Bias

Methods

readsPrec :: Int -> ReadS Bias #

readList :: ReadS [Bias] #

readPrec :: ReadPrec Bias #

readListPrec :: ReadPrec [Bias] #

Show Bias Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Bias

Methods

showsPrec :: Int -> Bias -> ShowS #

show :: Bias -> String #

showList :: [Bias] -> ShowS #

NFData Bias Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Bias

Methods

rnf :: Bias -> () #

Eq Bias Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Bias

Methods

(==) :: Bias -> Bias -> Bool #

(/=) :: Bias -> Bias -> Bool #

Hashable Bias Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Bias

Methods

hashWithSalt :: Int -> Bias -> Int #

hash :: Bias -> Int #

type Rep Bias Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Bias

type Rep Bias = D1 ('MetaData "Bias" "Amazonka.SageMaker.Types.Bias" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "Bias'" 'PrefixI 'True) (S1 ('MetaSel ('Just "postTrainingReport") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe MetricsSource)) :*: (S1 ('MetaSel ('Just "preTrainingReport") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe MetricsSource)) :*: S1 ('MetaSel ('Just "report") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe MetricsSource)))))

newBias :: Bias Source #

Create a value of Bias with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:postTrainingReport:Bias', bias_postTrainingReport - The post-training bias report for a model.

$sel:preTrainingReport:Bias', bias_preTrainingReport - The pre-training bias report for a model.

$sel:report:Bias', bias_report - The bias report for a model

bias_postTrainingReport :: Lens' Bias (Maybe MetricsSource) Source #

The post-training bias report for a model.

bias_preTrainingReport :: Lens' Bias (Maybe MetricsSource) Source #

The pre-training bias report for a model.

bias_report :: Lens' Bias (Maybe MetricsSource) Source #

The bias report for a model

BlueGreenUpdatePolicy

data BlueGreenUpdatePolicy Source #

Update policy for a blue/green deployment. If this update policy is specified, SageMaker creates a new fleet during the deployment while maintaining the old fleet. SageMaker flips traffic to the new fleet according to the specified traffic routing configuration. Only one update policy should be used in the deployment configuration. If no update policy is specified, SageMaker uses a blue/green deployment strategy with all at once traffic shifting by default.

See: newBlueGreenUpdatePolicy smart constructor.

Constructors

BlueGreenUpdatePolicy' 

Fields

Instances

Instances details
FromJSON BlueGreenUpdatePolicy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.BlueGreenUpdatePolicy

Methods

parseJSON :: Value -> Parser BlueGreenUpdatePolicy #

parseJSONList :: Value -> Parser [BlueGreenUpdatePolicy] #

ToJSON BlueGreenUpdatePolicy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.BlueGreenUpdatePolicy

Methods

toJSON :: BlueGreenUpdatePolicy -> Value #

toEncoding :: BlueGreenUpdatePolicy -> Encoding #

toJSONList :: [BlueGreenUpdatePolicy] -> Value #

toEncodingList :: [BlueGreenUpdatePolicy] -> Encoding #

Generic BlueGreenUpdatePolicy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.BlueGreenUpdatePolicy

Associated Types

type Rep BlueGreenUpdatePolicy :: Type -> Type #

Methods

from :: BlueGreenUpdatePolicy -> Rep BlueGreenUpdatePolicy x #

to :: Rep BlueGreenUpdatePolicy x -> BlueGreenUpdatePolicy #

Read BlueGreenUpdatePolicy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.BlueGreenUpdatePolicy

Methods

readsPrec :: Int -> ReadS BlueGreenUpdatePolicy #

readList :: ReadS [BlueGreenUpdatePolicy] #

readPrec :: ReadPrec BlueGreenUpdatePolicy #

readListPrec :: ReadPrec [BlueGreenUpdatePolicy] #

Show BlueGreenUpdatePolicy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.BlueGreenUpdatePolicy

Methods

showsPrec :: Int -> BlueGreenUpdatePolicy -> ShowS #

show :: BlueGreenUpdatePolicy -> String #

showList :: [BlueGreenUpdatePolicy] -> ShowS #

NFData BlueGreenUpdatePolicy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.BlueGreenUpdatePolicy

Methods

rnf :: BlueGreenUpdatePolicy -> () #

Eq BlueGreenUpdatePolicy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.BlueGreenUpdatePolicy

Methods

(==) :: BlueGreenUpdatePolicy -> BlueGreenUpdatePolicy -> Bool #

(/=) :: BlueGreenUpdatePolicy -> BlueGreenUpdatePolicy -> Bool #

Hashable BlueGreenUpdatePolicy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.BlueGreenUpdatePolicy

Methods

hashWithSalt :: Int -> BlueGreenUpdatePolicy -> Int #

hash :: BlueGreenUpdatePolicy -> Int #

type Rep BlueGreenUpdatePolicy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.BlueGreenUpdatePolicy

type Rep BlueGreenUpdatePolicy = D1 ('MetaData "BlueGreenUpdatePolicy" "Amazonka.SageMaker.Types.BlueGreenUpdatePolicy" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "BlueGreenUpdatePolicy'" 'PrefixI 'True) (S1 ('MetaSel ('Just "maximumExecutionTimeoutInSeconds") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural)) :*: (S1 ('MetaSel ('Just "terminationWaitInSeconds") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural)) :*: S1 ('MetaSel ('Just "trafficRoutingConfiguration") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 TrafficRoutingConfig))))

newBlueGreenUpdatePolicy Source #

Arguments

:: TrafficRoutingConfig

$sel:trafficRoutingConfiguration:BlueGreenUpdatePolicy'

-> BlueGreenUpdatePolicy 

Create a value of BlueGreenUpdatePolicy with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:maximumExecutionTimeoutInSeconds:BlueGreenUpdatePolicy', blueGreenUpdatePolicy_maximumExecutionTimeoutInSeconds - Maximum execution timeout for the deployment. Note that the timeout value should be larger than the total waiting time specified in TerminationWaitInSeconds and WaitIntervalInSeconds.

$sel:terminationWaitInSeconds:BlueGreenUpdatePolicy', blueGreenUpdatePolicy_terminationWaitInSeconds - Additional waiting time in seconds after the completion of an endpoint deployment before terminating the old endpoint fleet. Default is 0.

$sel:trafficRoutingConfiguration:BlueGreenUpdatePolicy', blueGreenUpdatePolicy_trafficRoutingConfiguration - Defines the traffic routing strategy to shift traffic from the old fleet to the new fleet during an endpoint deployment.

blueGreenUpdatePolicy_maximumExecutionTimeoutInSeconds :: Lens' BlueGreenUpdatePolicy (Maybe Natural) Source #

Maximum execution timeout for the deployment. Note that the timeout value should be larger than the total waiting time specified in TerminationWaitInSeconds and WaitIntervalInSeconds.

blueGreenUpdatePolicy_terminationWaitInSeconds :: Lens' BlueGreenUpdatePolicy (Maybe Natural) Source #

Additional waiting time in seconds after the completion of an endpoint deployment before terminating the old endpoint fleet. Default is 0.

blueGreenUpdatePolicy_trafficRoutingConfiguration :: Lens' BlueGreenUpdatePolicy TrafficRoutingConfig Source #

Defines the traffic routing strategy to shift traffic from the old fleet to the new fleet during an endpoint deployment.

CacheHitResult

data CacheHitResult Source #

Details on the cache hit of a pipeline execution step.

See: newCacheHitResult smart constructor.

Constructors

CacheHitResult' 

Fields

Instances

Instances details
FromJSON CacheHitResult Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CacheHitResult

Methods

parseJSON :: Value -> Parser CacheHitResult #

parseJSONList :: Value -> Parser [CacheHitResult] #

Generic CacheHitResult Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CacheHitResult

Associated Types

type Rep CacheHitResult :: Type -> Type #

Methods

from :: CacheHitResult -> Rep CacheHitResult x #

to :: Rep CacheHitResult x -> CacheHitResult #

Read CacheHitResult Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CacheHitResult

Methods

readsPrec :: Int -> ReadS CacheHitResult #

readList :: ReadS [CacheHitResult] #

readPrec :: ReadPrec CacheHitResult #

readListPrec :: ReadPrec [CacheHitResult] #

Show CacheHitResult Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CacheHitResult

Methods

showsPrec :: Int -> CacheHitResult -> ShowS #

show :: CacheHitResult -> String #

showList :: [CacheHitResult] -> ShowS #

NFData CacheHitResult Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CacheHitResult

Methods

rnf :: CacheHitResult -> () #

Eq CacheHitResult Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CacheHitResult

Methods

(==) :: CacheHitResult -> CacheHitResult -> Bool #

(/=) :: CacheHitResult -> CacheHitResult -> Bool #

Hashable CacheHitResult Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CacheHitResult

Methods

hashWithSalt :: Int -> CacheHitResult -> Int #

hash :: CacheHitResult -> Int #

type Rep CacheHitResult Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CacheHitResult

type Rep CacheHitResult = D1 ('MetaData "CacheHitResult" "Amazonka.SageMaker.Types.CacheHitResult" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "CacheHitResult'" 'PrefixI 'True) (S1 ('MetaSel ('Just "sourcePipelineExecutionArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))

newCacheHitResult :: CacheHitResult Source #

Create a value of CacheHitResult with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:sourcePipelineExecutionArn:CacheHitResult', cacheHitResult_sourcePipelineExecutionArn - The Amazon Resource Name (ARN) of the pipeline execution.

cacheHitResult_sourcePipelineExecutionArn :: Lens' CacheHitResult (Maybe Text) Source #

The Amazon Resource Name (ARN) of the pipeline execution.

CallbackStepMetadata

data CallbackStepMetadata Source #

Metadata about a callback step.

See: newCallbackStepMetadata smart constructor.

Constructors

CallbackStepMetadata' 

Fields

Instances

Instances details
FromJSON CallbackStepMetadata Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CallbackStepMetadata

Methods

parseJSON :: Value -> Parser CallbackStepMetadata #

parseJSONList :: Value -> Parser [CallbackStepMetadata] #

Generic CallbackStepMetadata Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CallbackStepMetadata

Associated Types

type Rep CallbackStepMetadata :: Type -> Type #

Methods

from :: CallbackStepMetadata -> Rep CallbackStepMetadata x #

to :: Rep CallbackStepMetadata x -> CallbackStepMetadata #

Read CallbackStepMetadata Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CallbackStepMetadata

Methods

readsPrec :: Int -> ReadS CallbackStepMetadata #

readList :: ReadS [CallbackStepMetadata] #

readPrec :: ReadPrec CallbackStepMetadata #

readListPrec :: ReadPrec [CallbackStepMetadata] #

Show CallbackStepMetadata Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CallbackStepMetadata

Methods

showsPrec :: Int -> CallbackStepMetadata -> ShowS #

show :: CallbackStepMetadata -> String #

showList :: [CallbackStepMetadata] -> ShowS #

NFData CallbackStepMetadata Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CallbackStepMetadata

Methods

rnf :: CallbackStepMetadata -> () #

Eq CallbackStepMetadata Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CallbackStepMetadata

Methods

(==) :: CallbackStepMetadata -> CallbackStepMetadata -> Bool #

(/=) :: CallbackStepMetadata -> CallbackStepMetadata -> Bool #

Hashable CallbackStepMetadata Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CallbackStepMetadata

Methods

hashWithSalt :: Int -> CallbackStepMetadata -> Int #

hash :: CallbackStepMetadata -> Int #

type Rep CallbackStepMetadata Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CallbackStepMetadata

type Rep CallbackStepMetadata = D1 ('MetaData "CallbackStepMetadata" "Amazonka.SageMaker.Types.CallbackStepMetadata" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "CallbackStepMetadata'" 'PrefixI 'True) (S1 ('MetaSel ('Just "callbackToken") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: (S1 ('MetaSel ('Just "outputParameters") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [OutputParameter])) :*: S1 ('MetaSel ('Just "sqsQueueUrl") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))))

newCallbackStepMetadata :: CallbackStepMetadata Source #

Create a value of CallbackStepMetadata with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:callbackToken:CallbackStepMetadata', callbackStepMetadata_callbackToken - The pipeline generated token from the Amazon SQS queue.

$sel:outputParameters:CallbackStepMetadata', callbackStepMetadata_outputParameters - A list of the output parameters of the callback step.

$sel:sqsQueueUrl:CallbackStepMetadata', callbackStepMetadata_sqsQueueUrl - The URL of the Amazon Simple Queue Service (Amazon SQS) queue used by the callback step.

callbackStepMetadata_callbackToken :: Lens' CallbackStepMetadata (Maybe Text) Source #

The pipeline generated token from the Amazon SQS queue.

callbackStepMetadata_outputParameters :: Lens' CallbackStepMetadata (Maybe [OutputParameter]) Source #

A list of the output parameters of the callback step.

callbackStepMetadata_sqsQueueUrl :: Lens' CallbackStepMetadata (Maybe Text) Source #

The URL of the Amazon Simple Queue Service (Amazon SQS) queue used by the callback step.

CandidateArtifactLocations

data CandidateArtifactLocations Source #

The location of artifacts for an AutoML candidate job.

See: newCandidateArtifactLocations smart constructor.

Constructors

CandidateArtifactLocations' 

Fields

  • modelInsights :: Maybe Text

    The Amazon S3 prefix to the model insight artifacts generated for the AutoML candidate.

  • explainability :: Text

    The Amazon S3 prefix to the explainability artifacts generated for the AutoML candidate.

Instances

Instances details
FromJSON CandidateArtifactLocations Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CandidateArtifactLocations

Methods

parseJSON :: Value -> Parser CandidateArtifactLocations #

parseJSONList :: Value -> Parser [CandidateArtifactLocations] #

Generic CandidateArtifactLocations Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CandidateArtifactLocations

Associated Types

type Rep CandidateArtifactLocations :: Type -> Type #

Methods

from :: CandidateArtifactLocations -> Rep CandidateArtifactLocations x #

to :: Rep CandidateArtifactLocations x -> CandidateArtifactLocations #

Read CandidateArtifactLocations Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CandidateArtifactLocations

Methods

readsPrec :: Int -> ReadS CandidateArtifactLocations #

readList :: ReadS [CandidateArtifactLocations] #

readPrec :: ReadPrec CandidateArtifactLocations #

readListPrec :: ReadPrec [CandidateArtifactLocations] #

Show CandidateArtifactLocations Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CandidateArtifactLocations

Methods

showsPrec :: Int -> CandidateArtifactLocations -> ShowS #

show :: CandidateArtifactLocations -> String #

showList :: [CandidateArtifactLocations] -> ShowS #

NFData CandidateArtifactLocations Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CandidateArtifactLocations

Methods

rnf :: CandidateArtifactLocations -> () #

Eq CandidateArtifactLocations Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CandidateArtifactLocations

Methods

(==) :: CandidateArtifactLocations -> CandidateArtifactLocations -> Bool #

(/=) :: CandidateArtifactLocations -> CandidateArtifactLocations -> Bool #

Hashable CandidateArtifactLocations Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CandidateArtifactLocations

Methods

hashWithSalt :: Int -> CandidateArtifactLocations -> Int #

hash :: CandidateArtifactLocations -> Int #

type Rep CandidateArtifactLocations Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CandidateArtifactLocations

type Rep CandidateArtifactLocations = D1 ('MetaData "CandidateArtifactLocations" "Amazonka.SageMaker.Types.CandidateArtifactLocations" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "CandidateArtifactLocations'" 'PrefixI 'True) (S1 ('MetaSel ('Just "modelInsights") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "explainability") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))

newCandidateArtifactLocations Source #

Arguments

:: Text

$sel:explainability:CandidateArtifactLocations'

-> CandidateArtifactLocations 

Create a value of CandidateArtifactLocations with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:modelInsights:CandidateArtifactLocations', candidateArtifactLocations_modelInsights - The Amazon S3 prefix to the model insight artifacts generated for the AutoML candidate.

$sel:explainability:CandidateArtifactLocations', candidateArtifactLocations_explainability - The Amazon S3 prefix to the explainability artifacts generated for the AutoML candidate.

candidateArtifactLocations_modelInsights :: Lens' CandidateArtifactLocations (Maybe Text) Source #

The Amazon S3 prefix to the model insight artifacts generated for the AutoML candidate.

candidateArtifactLocations_explainability :: Lens' CandidateArtifactLocations Text Source #

The Amazon S3 prefix to the explainability artifacts generated for the AutoML candidate.

CandidateProperties

data CandidateProperties Source #

The properties of an AutoML candidate job.

See: newCandidateProperties smart constructor.

Constructors

CandidateProperties' 

Fields

Instances

Instances details
FromJSON CandidateProperties Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CandidateProperties

Methods

parseJSON :: Value -> Parser CandidateProperties #

parseJSONList :: Value -> Parser [CandidateProperties] #

Generic CandidateProperties Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CandidateProperties

Associated Types

type Rep CandidateProperties :: Type -> Type #

Methods

from :: CandidateProperties -> Rep CandidateProperties x #

to :: Rep CandidateProperties x -> CandidateProperties #

Read CandidateProperties Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CandidateProperties

Methods

readsPrec :: Int -> ReadS CandidateProperties #

readList :: ReadS [CandidateProperties] #

readPrec :: ReadPrec CandidateProperties #

readListPrec :: ReadPrec [CandidateProperties] #

Show CandidateProperties Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CandidateProperties

Methods

showsPrec :: Int -> CandidateProperties -> ShowS #

show :: CandidateProperties -> String #

showList :: [CandidateProperties] -> ShowS #

NFData CandidateProperties Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CandidateProperties

Methods

rnf :: CandidateProperties -> () #

Eq CandidateProperties Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CandidateProperties

Methods

(==) :: CandidateProperties -> CandidateProperties -> Bool #

(/=) :: CandidateProperties -> CandidateProperties -> Bool #

Hashable CandidateProperties Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CandidateProperties

Methods

hashWithSalt :: Int -> CandidateProperties -> Int #

hash :: CandidateProperties -> Int #

type Rep CandidateProperties Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CandidateProperties

type Rep CandidateProperties = D1 ('MetaData "CandidateProperties" "Amazonka.SageMaker.Types.CandidateProperties" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "CandidateProperties'" 'PrefixI 'True) (S1 ('MetaSel ('Just "candidateArtifactLocations") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe CandidateArtifactLocations)) :*: S1 ('MetaSel ('Just "candidateMetrics") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [MetricDatum]))))

newCandidateProperties :: CandidateProperties Source #

Create a value of CandidateProperties with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:candidateArtifactLocations:CandidateProperties', candidateProperties_candidateArtifactLocations - The Amazon S3 prefix to the artifacts generated for an AutoML candidate.

$sel:candidateMetrics:CandidateProperties', candidateProperties_candidateMetrics - Information about the candidate metrics for an AutoML job.

candidateProperties_candidateArtifactLocations :: Lens' CandidateProperties (Maybe CandidateArtifactLocations) Source #

The Amazon S3 prefix to the artifacts generated for an AutoML candidate.

candidateProperties_candidateMetrics :: Lens' CandidateProperties (Maybe [MetricDatum]) Source #

Information about the candidate metrics for an AutoML job.

CanvasAppSettings

data CanvasAppSettings Source #

The SageMaker Canvas app settings.

See: newCanvasAppSettings smart constructor.

Constructors

CanvasAppSettings' 

Fields

Instances

Instances details
FromJSON CanvasAppSettings Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CanvasAppSettings

Methods

parseJSON :: Value -> Parser CanvasAppSettings #

parseJSONList :: Value -> Parser [CanvasAppSettings] #

ToJSON CanvasAppSettings Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CanvasAppSettings

Methods

toJSON :: CanvasAppSettings -> Value #

toEncoding :: CanvasAppSettings -> Encoding #

toJSONList :: [CanvasAppSettings] -> Value #

toEncodingList :: [CanvasAppSettings] -> Encoding #

Generic CanvasAppSettings Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CanvasAppSettings

Associated Types

type Rep CanvasAppSettings :: Type -> Type #

Methods

from :: CanvasAppSettings -> Rep CanvasAppSettings x #

to :: Rep CanvasAppSettings x -> CanvasAppSettings #

Read CanvasAppSettings Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CanvasAppSettings

Methods

readsPrec :: Int -> ReadS CanvasAppSettings #

readList :: ReadS [CanvasAppSettings] #

readPrec :: ReadPrec CanvasAppSettings #

readListPrec :: ReadPrec [CanvasAppSettings] #

Show CanvasAppSettings Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CanvasAppSettings

Methods

showsPrec :: Int -> CanvasAppSettings -> ShowS #

show :: CanvasAppSettings -> String #

showList :: [CanvasAppSettings] -> ShowS #

NFData CanvasAppSettings Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CanvasAppSettings

Methods

rnf :: CanvasAppSettings -> () #

Eq CanvasAppSettings Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CanvasAppSettings

Methods

(==) :: CanvasAppSettings -> CanvasAppSettings -> Bool #

(/=) :: CanvasAppSettings -> CanvasAppSettings -> Bool #

Hashable CanvasAppSettings Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CanvasAppSettings

Methods

hashWithSalt :: Int -> CanvasAppSettings -> Int #

hash :: CanvasAppSettings -> Int #

type Rep CanvasAppSettings Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CanvasAppSettings

type Rep CanvasAppSettings = D1 ('MetaData "CanvasAppSettings" "Amazonka.SageMaker.Types.CanvasAppSettings" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "CanvasAppSettings'" 'PrefixI 'True) (S1 ('MetaSel ('Just "timeSeriesForecastingSettings") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe TimeSeriesForecastingSettings))))

newCanvasAppSettings :: CanvasAppSettings Source #

Create a value of CanvasAppSettings with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:timeSeriesForecastingSettings:CanvasAppSettings', canvasAppSettings_timeSeriesForecastingSettings - Time series forecast settings for the Canvas app.

canvasAppSettings_timeSeriesForecastingSettings :: Lens' CanvasAppSettings (Maybe TimeSeriesForecastingSettings) Source #

Time series forecast settings for the Canvas app.

CapacitySize

data CapacitySize Source #

Specifies the endpoint capacity to activate for production.

See: newCapacitySize smart constructor.

Constructors

CapacitySize' 

Fields

  • type' :: CapacitySizeType

    Specifies the endpoint capacity type.

    • INSTANCE_COUNT: The endpoint activates based on the number of instances.
    • CAPACITY_PERCENT: The endpoint activates based on the specified percentage of capacity.
  • value :: Natural

    Defines the capacity size, either as a number of instances or a capacity percentage.

Instances

Instances details
FromJSON CapacitySize Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CapacitySize

Methods

parseJSON :: Value -> Parser CapacitySize #

parseJSONList :: Value -> Parser [CapacitySize] #

ToJSON CapacitySize Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CapacitySize

Methods

toJSON :: CapacitySize -> Value #

toEncoding :: CapacitySize -> Encoding #

toJSONList :: [CapacitySize] -> Value #

toEncodingList :: [CapacitySize] -> Encoding #

Generic CapacitySize Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CapacitySize

Associated Types

type Rep CapacitySize :: Type -> Type #

Methods

from :: CapacitySize -> Rep CapacitySize x #

to :: Rep CapacitySize x -> CapacitySize #

Read CapacitySize Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CapacitySize

Methods

readsPrec :: Int -> ReadS CapacitySize #

readList :: ReadS [CapacitySize] #

readPrec :: ReadPrec CapacitySize #

readListPrec :: ReadPrec [CapacitySize] #

Show CapacitySize Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CapacitySize

Methods

showsPrec :: Int -> CapacitySize -> ShowS #

show :: CapacitySize -> String #

showList :: [CapacitySize] -> ShowS #

NFData CapacitySize Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CapacitySize

Methods

rnf :: CapacitySize -> () #

Eq CapacitySize Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CapacitySize

Methods

(==) :: CapacitySize -> CapacitySize -> Bool #

(/=) :: CapacitySize -> CapacitySize -> Bool #

Hashable CapacitySize Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CapacitySize

Methods

hashWithSalt :: Int -> CapacitySize -> Int #

hash :: CapacitySize -> Int #

type Rep CapacitySize Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CapacitySize

type Rep CapacitySize = D1 ('MetaData "CapacitySize" "Amazonka.SageMaker.Types.CapacitySize" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "CapacitySize'" 'PrefixI 'True) (S1 ('MetaSel ('Just "type'") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 CapacitySizeType) :*: S1 ('MetaSel ('Just "value") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Natural)))

newCapacitySize Source #

Arguments

:: CapacitySizeType

$sel:type':CapacitySize'

-> Natural

$sel:value:CapacitySize'

-> CapacitySize 

Create a value of CapacitySize with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:type':CapacitySize', capacitySize_type - Specifies the endpoint capacity type.

  • INSTANCE_COUNT: The endpoint activates based on the number of instances.
  • CAPACITY_PERCENT: The endpoint activates based on the specified percentage of capacity.

$sel:value:CapacitySize', capacitySize_value - Defines the capacity size, either as a number of instances or a capacity percentage.

capacitySize_type :: Lens' CapacitySize CapacitySizeType Source #

Specifies the endpoint capacity type.

  • INSTANCE_COUNT: The endpoint activates based on the number of instances.
  • CAPACITY_PERCENT: The endpoint activates based on the specified percentage of capacity.

capacitySize_value :: Lens' CapacitySize Natural Source #

Defines the capacity size, either as a number of instances or a capacity percentage.

CaptureContentTypeHeader

data CaptureContentTypeHeader Source #

Configuration specifying how to treat different headers. If no headers are specified SageMaker will by default base64 encode when capturing the data.

See: newCaptureContentTypeHeader smart constructor.

Constructors

CaptureContentTypeHeader' 

Fields

Instances

Instances details
FromJSON CaptureContentTypeHeader Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CaptureContentTypeHeader

Methods

parseJSON :: Value -> Parser CaptureContentTypeHeader #

parseJSONList :: Value -> Parser [CaptureContentTypeHeader] #

ToJSON CaptureContentTypeHeader Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CaptureContentTypeHeader

Methods

toJSON :: CaptureContentTypeHeader -> Value #

toEncoding :: CaptureContentTypeHeader -> Encoding #

toJSONList :: [CaptureContentTypeHeader] -> Value #

toEncodingList :: [CaptureContentTypeHeader] -> Encoding #

Generic CaptureContentTypeHeader Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CaptureContentTypeHeader

Associated Types

type Rep CaptureContentTypeHeader :: Type -> Type #

Methods

from :: CaptureContentTypeHeader -> Rep CaptureContentTypeHeader x #

to :: Rep CaptureContentTypeHeader x -> CaptureContentTypeHeader #

Read CaptureContentTypeHeader Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CaptureContentTypeHeader

Methods

readsPrec :: Int -> ReadS CaptureContentTypeHeader #

readList :: ReadS [CaptureContentTypeHeader] #

readPrec :: ReadPrec CaptureContentTypeHeader #

readListPrec :: ReadPrec [CaptureContentTypeHeader] #

Show CaptureContentTypeHeader Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CaptureContentTypeHeader

Methods

showsPrec :: Int -> CaptureContentTypeHeader -> ShowS #

show :: CaptureContentTypeHeader -> String #

showList :: [CaptureContentTypeHeader] -> ShowS #

NFData CaptureContentTypeHeader Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CaptureContentTypeHeader

Methods

rnf :: CaptureContentTypeHeader -> () #

Eq CaptureContentTypeHeader Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CaptureContentTypeHeader

Methods

(==) :: CaptureContentTypeHeader -> CaptureContentTypeHeader -> Bool #

(/=) :: CaptureContentTypeHeader -> CaptureContentTypeHeader -> Bool #

Hashable CaptureContentTypeHeader Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CaptureContentTypeHeader

Methods

hashWithSalt :: Int -> CaptureContentTypeHeader -> Int #

hash :: CaptureContentTypeHeader -> Int #

type Rep CaptureContentTypeHeader Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CaptureContentTypeHeader

type Rep CaptureContentTypeHeader = D1 ('MetaData "CaptureContentTypeHeader" "Amazonka.SageMaker.Types.CaptureContentTypeHeader" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "CaptureContentTypeHeader'" 'PrefixI 'True) (S1 ('MetaSel ('Just "csvContentTypes") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe (NonEmpty Text))) :*: S1 ('MetaSel ('Just "jsonContentTypes") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe (NonEmpty Text)))))

newCaptureContentTypeHeader :: CaptureContentTypeHeader Source #

Create a value of CaptureContentTypeHeader with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:csvContentTypes:CaptureContentTypeHeader', captureContentTypeHeader_csvContentTypes - The list of all content type headers that SageMaker will treat as CSV and capture accordingly.

$sel:jsonContentTypes:CaptureContentTypeHeader', captureContentTypeHeader_jsonContentTypes - The list of all content type headers that SageMaker will treat as JSON and capture accordingly.

captureContentTypeHeader_csvContentTypes :: Lens' CaptureContentTypeHeader (Maybe (NonEmpty Text)) Source #

The list of all content type headers that SageMaker will treat as CSV and capture accordingly.

captureContentTypeHeader_jsonContentTypes :: Lens' CaptureContentTypeHeader (Maybe (NonEmpty Text)) Source #

The list of all content type headers that SageMaker will treat as JSON and capture accordingly.

CaptureOption

data CaptureOption Source #

Specifies data Model Monitor will capture.

See: newCaptureOption smart constructor.

Constructors

CaptureOption' 

Fields

Instances

Instances details
FromJSON CaptureOption Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CaptureOption

Methods

parseJSON :: Value -> Parser CaptureOption #

parseJSONList :: Value -> Parser [CaptureOption] #

ToJSON CaptureOption Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CaptureOption

Methods

toJSON :: CaptureOption -> Value #

toEncoding :: CaptureOption -> Encoding #

toJSONList :: [CaptureOption] -> Value #

toEncodingList :: [CaptureOption] -> Encoding #

Generic CaptureOption Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CaptureOption

Associated Types

type Rep CaptureOption :: Type -> Type #

Methods

from :: CaptureOption -> Rep CaptureOption x #

to :: Rep CaptureOption x -> CaptureOption #

Read CaptureOption Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CaptureOption

Methods

readsPrec :: Int -> ReadS CaptureOption #

readList :: ReadS [CaptureOption] #

readPrec :: ReadPrec CaptureOption #

readListPrec :: ReadPrec [CaptureOption] #

Show CaptureOption Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CaptureOption

Methods

showsPrec :: Int -> CaptureOption -> ShowS #

show :: CaptureOption -> String #

showList :: [CaptureOption] -> ShowS #

NFData CaptureOption Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CaptureOption

Methods

rnf :: CaptureOption -> () #

Eq CaptureOption Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CaptureOption

Methods

(==) :: CaptureOption -> CaptureOption -> Bool #

(/=) :: CaptureOption -> CaptureOption -> Bool #

Hashable CaptureOption Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CaptureOption

Methods

hashWithSalt :: Int -> CaptureOption -> Int #

hash :: CaptureOption -> Int #

type Rep CaptureOption Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CaptureOption

type Rep CaptureOption = D1 ('MetaData "CaptureOption" "Amazonka.SageMaker.Types.CaptureOption" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "CaptureOption'" 'PrefixI 'True) (S1 ('MetaSel ('Just "captureMode") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 CaptureMode)))

newCaptureOption Source #

Arguments

:: CaptureMode

$sel:captureMode:CaptureOption'

-> CaptureOption 

Create a value of CaptureOption with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:captureMode:CaptureOption', captureOption_captureMode - Specify the boundary of data to capture.

captureOption_captureMode :: Lens' CaptureOption CaptureMode Source #

Specify the boundary of data to capture.

CategoricalParameter

data CategoricalParameter Source #

Environment parameters you want to benchmark your load test against.

See: newCategoricalParameter smart constructor.

Constructors

CategoricalParameter' 

Fields

Instances

Instances details
FromJSON CategoricalParameter Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CategoricalParameter

Methods

parseJSON :: Value -> Parser CategoricalParameter #

parseJSONList :: Value -> Parser [CategoricalParameter] #

ToJSON CategoricalParameter Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CategoricalParameter

Methods

toJSON :: CategoricalParameter -> Value #

toEncoding :: CategoricalParameter -> Encoding #

toJSONList :: [CategoricalParameter] -> Value #

toEncodingList :: [CategoricalParameter] -> Encoding #

Generic CategoricalParameter Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CategoricalParameter

Associated Types

type Rep CategoricalParameter :: Type -> Type #

Methods

from :: CategoricalParameter -> Rep CategoricalParameter x #

to :: Rep CategoricalParameter x -> CategoricalParameter #

Read CategoricalParameter Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CategoricalParameter

Methods

readsPrec :: Int -> ReadS CategoricalParameter #

readList :: ReadS [CategoricalParameter] #

readPrec :: ReadPrec CategoricalParameter #

readListPrec :: ReadPrec [CategoricalParameter] #

Show CategoricalParameter Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CategoricalParameter

Methods

showsPrec :: Int -> CategoricalParameter -> ShowS #

show :: CategoricalParameter -> String #

showList :: [CategoricalParameter] -> ShowS #

NFData CategoricalParameter Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CategoricalParameter

Methods

rnf :: CategoricalParameter -> () #

Eq CategoricalParameter Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CategoricalParameter

Methods

(==) :: CategoricalParameter -> CategoricalParameter -> Bool #

(/=) :: CategoricalParameter -> CategoricalParameter -> Bool #

Hashable CategoricalParameter Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CategoricalParameter

Methods

hashWithSalt :: Int -> CategoricalParameter -> Int #

hash :: CategoricalParameter -> Int #

type Rep CategoricalParameter Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CategoricalParameter

type Rep CategoricalParameter = D1 ('MetaData "CategoricalParameter" "Amazonka.SageMaker.Types.CategoricalParameter" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "CategoricalParameter'" 'PrefixI 'True) (S1 ('MetaSel ('Just "name") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: S1 ('MetaSel ('Just "value") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (NonEmpty Text))))

newCategoricalParameter Source #

Arguments

:: Text

$sel:name:CategoricalParameter'

-> NonEmpty Text

$sel:value:CategoricalParameter'

-> CategoricalParameter 

Create a value of CategoricalParameter with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:name:CategoricalParameter', categoricalParameter_name - The Name of the environment variable.

$sel:value:CategoricalParameter', categoricalParameter_value - The list of values you can pass.

categoricalParameter_name :: Lens' CategoricalParameter Text Source #

The Name of the environment variable.

categoricalParameter_value :: Lens' CategoricalParameter (NonEmpty Text) Source #

The list of values you can pass.

CategoricalParameterRange

data CategoricalParameterRange Source #

A list of categorical hyperparameters to tune.

See: newCategoricalParameterRange smart constructor.

Constructors

CategoricalParameterRange' 

Fields

  • name :: Text

    The name of the categorical hyperparameter to tune.

  • values :: NonEmpty Text

    A list of the categories for the hyperparameter.

Instances

Instances details
FromJSON CategoricalParameterRange Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CategoricalParameterRange

Methods

parseJSON :: Value -> Parser CategoricalParameterRange #

parseJSONList :: Value -> Parser [CategoricalParameterRange] #

ToJSON CategoricalParameterRange Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CategoricalParameterRange

Methods

toJSON :: CategoricalParameterRange -> Value #

toEncoding :: CategoricalParameterRange -> Encoding #

toJSONList :: [CategoricalParameterRange] -> Value #

toEncodingList :: [CategoricalParameterRange] -> Encoding #

Generic CategoricalParameterRange Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CategoricalParameterRange

Associated Types

type Rep CategoricalParameterRange :: Type -> Type #

Methods

from :: CategoricalParameterRange -> Rep CategoricalParameterRange x #

to :: Rep CategoricalParameterRange x -> CategoricalParameterRange #

Read CategoricalParameterRange Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CategoricalParameterRange

Methods

readsPrec :: Int -> ReadS CategoricalParameterRange #

readList :: ReadS [CategoricalParameterRange] #

readPrec :: ReadPrec CategoricalParameterRange #

readListPrec :: ReadPrec [CategoricalParameterRange] #

Show CategoricalParameterRange Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CategoricalParameterRange

Methods

showsPrec :: Int -> CategoricalParameterRange -> ShowS #

show :: CategoricalParameterRange -> String #

showList :: [CategoricalParameterRange] -> ShowS #

NFData CategoricalParameterRange Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CategoricalParameterRange

Methods

rnf :: CategoricalParameterRange -> () #

Eq CategoricalParameterRange Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CategoricalParameterRange

Methods

(==) :: CategoricalParameterRange -> CategoricalParameterRange -> Bool #

(/=) :: CategoricalParameterRange -> CategoricalParameterRange -> Bool #

Hashable CategoricalParameterRange Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CategoricalParameterRange

Methods

hashWithSalt :: Int -> CategoricalParameterRange -> Int #

hash :: CategoricalParameterRange -> Int #

type Rep CategoricalParameterRange Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CategoricalParameterRange

type Rep CategoricalParameterRange = D1 ('MetaData "CategoricalParameterRange" "Amazonka.SageMaker.Types.CategoricalParameterRange" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "CategoricalParameterRange'" 'PrefixI 'True) (S1 ('MetaSel ('Just "name") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: S1 ('MetaSel ('Just "values") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (NonEmpty Text))))

newCategoricalParameterRange Source #

Arguments

:: Text

$sel:name:CategoricalParameterRange'

-> NonEmpty Text

$sel:values:CategoricalParameterRange'

-> CategoricalParameterRange 

Create a value of CategoricalParameterRange with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:name:CategoricalParameterRange', categoricalParameterRange_name - The name of the categorical hyperparameter to tune.

$sel:values:CategoricalParameterRange', categoricalParameterRange_values - A list of the categories for the hyperparameter.

categoricalParameterRange_name :: Lens' CategoricalParameterRange Text Source #

The name of the categorical hyperparameter to tune.

categoricalParameterRange_values :: Lens' CategoricalParameterRange (NonEmpty Text) Source #

A list of the categories for the hyperparameter.

CategoricalParameterRangeSpecification

data CategoricalParameterRangeSpecification Source #

Defines the possible values for a categorical hyperparameter.

See: newCategoricalParameterRangeSpecification smart constructor.

Constructors

CategoricalParameterRangeSpecification' 

Fields

Instances

Instances details
FromJSON CategoricalParameterRangeSpecification Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CategoricalParameterRangeSpecification

Methods

parseJSON :: Value -> Parser CategoricalParameterRangeSpecification #

parseJSONList :: Value -> Parser [CategoricalParameterRangeSpecification] #

ToJSON CategoricalParameterRangeSpecification Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CategoricalParameterRangeSpecification

Methods

toJSON :: CategoricalParameterRangeSpecification -> Value #

toEncoding :: CategoricalParameterRangeSpecification -> Encoding #

toJSONList :: [CategoricalParameterRangeSpecification] -> Value #

toEncodingList :: [CategoricalParameterRangeSpecification] -> Encoding #

Generic CategoricalParameterRangeSpecification Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CategoricalParameterRangeSpecification

Associated Types

type Rep CategoricalParameterRangeSpecification :: Type -> Type #

Methods

from :: CategoricalParameterRangeSpecification -> Rep CategoricalParameterRangeSpecification x #

to :: Rep CategoricalParameterRangeSpecification x -> CategoricalParameterRangeSpecification #

Read CategoricalParameterRangeSpecification Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CategoricalParameterRangeSpecification

Methods

readsPrec :: Int -> ReadS CategoricalParameterRangeSpecification #

readList :: ReadS [CategoricalParameterRangeSpecification] #

readPrec :: ReadPrec CategoricalParameterRangeSpecification #

readListPrec :: ReadPrec [CategoricalParameterRangeSpecification] #

Show CategoricalParameterRangeSpecification Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CategoricalParameterRangeSpecification

Methods

showsPrec :: Int -> CategoricalParameterRangeSpecification -> ShowS #

show :: CategoricalParameterRangeSpecification -> String #

showList :: [CategoricalParameterRangeSpecification] -> ShowS #

NFData CategoricalParameterRangeSpecification Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CategoricalParameterRangeSpecification

Methods

rnf :: CategoricalParameterRangeSpecification -> () #

Eq CategoricalParameterRangeSpecification Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CategoricalParameterRangeSpecification

Methods

(==) :: CategoricalParameterRangeSpecification -> CategoricalParameterRangeSpecification -> Bool #

(/=) :: CategoricalParameterRangeSpecification -> CategoricalParameterRangeSpecification -> Bool #

Hashable CategoricalParameterRangeSpecification Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CategoricalParameterRangeSpecification

Methods

hashWithSalt :: Int -> CategoricalParameterRangeSpecification -> Int #

hash :: CategoricalParameterRangeSpecification -> Int #

type Rep CategoricalParameterRangeSpecification Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CategoricalParameterRangeSpecification

type Rep CategoricalParameterRangeSpecification = D1 ('MetaData "CategoricalParameterRangeSpecification" "Amazonka.SageMaker.Types.CategoricalParameterRangeSpecification" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "CategoricalParameterRangeSpecification'" 'PrefixI 'True) (S1 ('MetaSel ('Just "values") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (NonEmpty Text))))

newCategoricalParameterRangeSpecification Source #

Arguments

:: NonEmpty Text

$sel:values:CategoricalParameterRangeSpecification'

-> CategoricalParameterRangeSpecification 

Create a value of CategoricalParameterRangeSpecification with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:values:CategoricalParameterRangeSpecification', categoricalParameterRangeSpecification_values - The allowed categories for the hyperparameter.

categoricalParameterRangeSpecification_values :: Lens' CategoricalParameterRangeSpecification (NonEmpty Text) Source #

The allowed categories for the hyperparameter.

Channel

data Channel Source #

A channel is a named input source that training algorithms can consume.

See: newChannel smart constructor.

Constructors

Channel' 

Fields

  • compressionType :: Maybe CompressionType

    If training data is compressed, the compression type. The default value is None. CompressionType is used only in Pipe input mode. In File mode, leave this field unset or set it to None.

  • contentType :: Maybe Text

    The MIME type of the data.

  • inputMode :: Maybe TrainingInputMode

    (Optional) The input mode to use for the data channel in a training job. If you don't set a value for InputMode, SageMaker uses the value set for TrainingInputMode. Use this parameter to override the TrainingInputMode setting in a AlgorithmSpecification request when you have a channel that needs a different input mode from the training job's general setting. To download the data from Amazon Simple Storage Service (Amazon S3) to the provisioned ML storage volume, and mount the directory to a Docker volume, use File input mode. To stream data directly from Amazon S3 to the container, choose Pipe input mode.

    To use a model for incremental training, choose File input model.

  • recordWrapperType :: Maybe RecordWrapper

    Specify RecordIO as the value when input data is in raw format but the training algorithm requires the RecordIO format. In this case, SageMaker wraps each individual S3 object in a RecordIO record. If the input data is already in RecordIO format, you don't need to set this attribute. For more information, see Create a Dataset Using RecordIO.

    In File mode, leave this field unset or set it to None.

  • shuffleConfig :: Maybe ShuffleConfig

    A configuration for a shuffle option for input data in a channel. If you use S3Prefix for S3DataType, this shuffles the results of the S3 key prefix matches. If you use ManifestFile, the order of the S3 object references in the ManifestFile is shuffled. If you use AugmentedManifestFile, the order of the JSON lines in the AugmentedManifestFile is shuffled. The shuffling order is determined using the Seed value.

    For Pipe input mode, shuffling is done at the start of every epoch. With large datasets this ensures that the order of the training data is different for each epoch, it helps reduce bias and possible overfitting. In a multi-node training job when ShuffleConfig is combined with S3DataDistributionType of ShardedByS3Key, the data is shuffled across nodes so that the content sent to a particular node on the first epoch might be sent to a different node on the second epoch.

  • channelName :: Text

    The name of the channel.

  • dataSource :: DataSource

    The location of the channel data.

Instances

Instances details
FromJSON Channel Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Channel

Methods

parseJSON :: Value -> Parser Channel #

parseJSONList :: Value -> Parser [Channel] #

ToJSON Channel Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Channel

Methods

toJSON :: Channel -> Value #

toEncoding :: Channel -> Encoding #

toJSONList :: [Channel] -> Value #

toEncodingList :: [Channel] -> Encoding #

Generic Channel Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Channel

Associated Types

type Rep Channel :: Type -> Type #

Methods

from :: Channel -> Rep Channel x #

to :: Rep Channel x -> Channel #

Read Channel Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Channel

Methods

readsPrec :: Int -> ReadS Channel #

readList :: ReadS [Channel] #

readPrec :: ReadPrec Channel #

readListPrec :: ReadPrec [Channel] #

Show Channel Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Channel

Methods

showsPrec :: Int -> Channel -> ShowS #

show :: Channel -> String #

showList :: [Channel] -> ShowS #

NFData Channel Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Channel

Methods

rnf :: Channel -> () #

Eq Channel Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Channel

Methods

(==) :: Channel -> Channel -> Bool #

(/=) :: Channel -> Channel -> Bool #

Hashable Channel Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Channel

Methods

hashWithSalt :: Int -> Channel -> Int #

hash :: Channel -> Int #

type Rep Channel Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Channel

type Rep Channel = D1 ('MetaData "Channel" "Amazonka.SageMaker.Types.Channel" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "Channel'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "compressionType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe CompressionType)) :*: (S1 ('MetaSel ('Just "contentType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "inputMode") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe TrainingInputMode)))) :*: ((S1 ('MetaSel ('Just "recordWrapperType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe RecordWrapper)) :*: S1 ('MetaSel ('Just "shuffleConfig") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ShuffleConfig))) :*: (S1 ('MetaSel ('Just "channelName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: S1 ('MetaSel ('Just "dataSource") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 DataSource)))))

newChannel Source #

Arguments

:: Text

$sel:channelName:Channel'

-> DataSource

$sel:dataSource:Channel'

-> Channel 

Create a value of Channel with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:compressionType:Channel', channel_compressionType - If training data is compressed, the compression type. The default value is None. CompressionType is used only in Pipe input mode. In File mode, leave this field unset or set it to None.

$sel:contentType:Channel', channel_contentType - The MIME type of the data.

$sel:inputMode:Channel', channel_inputMode - (Optional) The input mode to use for the data channel in a training job. If you don't set a value for InputMode, SageMaker uses the value set for TrainingInputMode. Use this parameter to override the TrainingInputMode setting in a AlgorithmSpecification request when you have a channel that needs a different input mode from the training job's general setting. To download the data from Amazon Simple Storage Service (Amazon S3) to the provisioned ML storage volume, and mount the directory to a Docker volume, use File input mode. To stream data directly from Amazon S3 to the container, choose Pipe input mode.

To use a model for incremental training, choose File input model.

$sel:recordWrapperType:Channel', channel_recordWrapperType - Specify RecordIO as the value when input data is in raw format but the training algorithm requires the RecordIO format. In this case, SageMaker wraps each individual S3 object in a RecordIO record. If the input data is already in RecordIO format, you don't need to set this attribute. For more information, see Create a Dataset Using RecordIO.

In File mode, leave this field unset or set it to None.

$sel:shuffleConfig:Channel', channel_shuffleConfig - A configuration for a shuffle option for input data in a channel. If you use S3Prefix for S3DataType, this shuffles the results of the S3 key prefix matches. If you use ManifestFile, the order of the S3 object references in the ManifestFile is shuffled. If you use AugmentedManifestFile, the order of the JSON lines in the AugmentedManifestFile is shuffled. The shuffling order is determined using the Seed value.

For Pipe input mode, shuffling is done at the start of every epoch. With large datasets this ensures that the order of the training data is different for each epoch, it helps reduce bias and possible overfitting. In a multi-node training job when ShuffleConfig is combined with S3DataDistributionType of ShardedByS3Key, the data is shuffled across nodes so that the content sent to a particular node on the first epoch might be sent to a different node on the second epoch.

$sel:channelName:Channel', channel_channelName - The name of the channel.

$sel:dataSource:Channel', channel_dataSource - The location of the channel data.

channel_compressionType :: Lens' Channel (Maybe CompressionType) Source #

If training data is compressed, the compression type. The default value is None. CompressionType is used only in Pipe input mode. In File mode, leave this field unset or set it to None.

channel_contentType :: Lens' Channel (Maybe Text) Source #

The MIME type of the data.

channel_inputMode :: Lens' Channel (Maybe TrainingInputMode) Source #

(Optional) The input mode to use for the data channel in a training job. If you don't set a value for InputMode, SageMaker uses the value set for TrainingInputMode. Use this parameter to override the TrainingInputMode setting in a AlgorithmSpecification request when you have a channel that needs a different input mode from the training job's general setting. To download the data from Amazon Simple Storage Service (Amazon S3) to the provisioned ML storage volume, and mount the directory to a Docker volume, use File input mode. To stream data directly from Amazon S3 to the container, choose Pipe input mode.

To use a model for incremental training, choose File input model.

channel_recordWrapperType :: Lens' Channel (Maybe RecordWrapper) Source #

Specify RecordIO as the value when input data is in raw format but the training algorithm requires the RecordIO format. In this case, SageMaker wraps each individual S3 object in a RecordIO record. If the input data is already in RecordIO format, you don't need to set this attribute. For more information, see Create a Dataset Using RecordIO.

In File mode, leave this field unset or set it to None.

channel_shuffleConfig :: Lens' Channel (Maybe ShuffleConfig) Source #

A configuration for a shuffle option for input data in a channel. If you use S3Prefix for S3DataType, this shuffles the results of the S3 key prefix matches. If you use ManifestFile, the order of the S3 object references in the ManifestFile is shuffled. If you use AugmentedManifestFile, the order of the JSON lines in the AugmentedManifestFile is shuffled. The shuffling order is determined using the Seed value.

For Pipe input mode, shuffling is done at the start of every epoch. With large datasets this ensures that the order of the training data is different for each epoch, it helps reduce bias and possible overfitting. In a multi-node training job when ShuffleConfig is combined with S3DataDistributionType of ShardedByS3Key, the data is shuffled across nodes so that the content sent to a particular node on the first epoch might be sent to a different node on the second epoch.

channel_channelName :: Lens' Channel Text Source #

The name of the channel.

channel_dataSource :: Lens' Channel DataSource Source #

The location of the channel data.

ChannelSpecification

data ChannelSpecification Source #

Defines a named input source, called a channel, to be used by an algorithm.

See: newChannelSpecification smart constructor.

Constructors

ChannelSpecification' 

Fields

Instances

Instances details
FromJSON ChannelSpecification Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ChannelSpecification

Methods

parseJSON :: Value -> Parser ChannelSpecification #

parseJSONList :: Value -> Parser [ChannelSpecification] #

ToJSON ChannelSpecification Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ChannelSpecification

Methods

toJSON :: ChannelSpecification -> Value #

toEncoding :: ChannelSpecification -> Encoding #

toJSONList :: [ChannelSpecification] -> Value #

toEncodingList :: [ChannelSpecification] -> Encoding #

Generic ChannelSpecification Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ChannelSpecification

Associated Types

type Rep ChannelSpecification :: Type -> Type #

Methods

from :: ChannelSpecification -> Rep ChannelSpecification x #

to :: Rep ChannelSpecification x -> ChannelSpecification #

Read ChannelSpecification Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ChannelSpecification

Methods

readsPrec :: Int -> ReadS ChannelSpecification #

readList :: ReadS [ChannelSpecification] #

readPrec :: ReadPrec ChannelSpecification #

readListPrec :: ReadPrec [ChannelSpecification] #

Show ChannelSpecification Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ChannelSpecification

Methods

showsPrec :: Int -> ChannelSpecification -> ShowS #

show :: ChannelSpecification -> String #

showList :: [ChannelSpecification] -> ShowS #

NFData ChannelSpecification Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ChannelSpecification

Methods

rnf :: ChannelSpecification -> () #

Eq ChannelSpecification Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ChannelSpecification

Methods

(==) :: ChannelSpecification -> ChannelSpecification -> Bool #

(/=) :: ChannelSpecification -> ChannelSpecification -> Bool #

Hashable ChannelSpecification Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ChannelSpecification

Methods

hashWithSalt :: Int -> ChannelSpecification -> Int #

hash :: ChannelSpecification -> Int #

type Rep ChannelSpecification Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ChannelSpecification

type Rep ChannelSpecification = D1 ('MetaData "ChannelSpecification" "Amazonka.SageMaker.Types.ChannelSpecification" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "ChannelSpecification'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "description") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: (S1 ('MetaSel ('Just "isRequired") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Bool)) :*: S1 ('MetaSel ('Just "supportedCompressionTypes") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [CompressionType])))) :*: (S1 ('MetaSel ('Just "name") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: (S1 ('MetaSel ('Just "supportedContentTypes") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 [Text]) :*: S1 ('MetaSel ('Just "supportedInputModes") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (NonEmpty TrainingInputMode))))))

newChannelSpecification Source #

Arguments

:: Text

$sel:name:ChannelSpecification'

-> NonEmpty TrainingInputMode

$sel:supportedInputModes:ChannelSpecification'

-> ChannelSpecification 

Create a value of ChannelSpecification with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:description:ChannelSpecification', channelSpecification_description - A brief description of the channel.

$sel:isRequired:ChannelSpecification', channelSpecification_isRequired - Indicates whether the channel is required by the algorithm.

$sel:supportedCompressionTypes:ChannelSpecification', channelSpecification_supportedCompressionTypes - The allowed compression types, if data compression is used.

$sel:name:ChannelSpecification', channelSpecification_name - The name of the channel.

$sel:supportedContentTypes:ChannelSpecification', channelSpecification_supportedContentTypes - The supported MIME types for the data.

$sel:supportedInputModes:ChannelSpecification', channelSpecification_supportedInputModes - The allowed input mode, either FILE or PIPE.

In FILE mode, Amazon SageMaker copies the data from the input source onto the local Amazon Elastic Block Store (Amazon EBS) volumes before starting your training algorithm. This is the most commonly used input mode.

In PIPE mode, Amazon SageMaker streams input data from the source directly to your algorithm without using the EBS volume.

channelSpecification_description :: Lens' ChannelSpecification (Maybe Text) Source #

A brief description of the channel.

channelSpecification_isRequired :: Lens' ChannelSpecification (Maybe Bool) Source #

Indicates whether the channel is required by the algorithm.

channelSpecification_supportedCompressionTypes :: Lens' ChannelSpecification (Maybe [CompressionType]) Source #

The allowed compression types, if data compression is used.

channelSpecification_name :: Lens' ChannelSpecification Text Source #

The name of the channel.

channelSpecification_supportedContentTypes :: Lens' ChannelSpecification [Text] Source #

The supported MIME types for the data.

channelSpecification_supportedInputModes :: Lens' ChannelSpecification (NonEmpty TrainingInputMode) Source #

The allowed input mode, either FILE or PIPE.

In FILE mode, Amazon SageMaker copies the data from the input source onto the local Amazon Elastic Block Store (Amazon EBS) volumes before starting your training algorithm. This is the most commonly used input mode.

In PIPE mode, Amazon SageMaker streams input data from the source directly to your algorithm without using the EBS volume.

CheckpointConfig

data CheckpointConfig Source #

Contains information about the output location for managed spot training checkpoint data.

See: newCheckpointConfig smart constructor.

Constructors

CheckpointConfig' 

Fields

  • localPath :: Maybe Text

    (Optional) The local directory where checkpoints are written. The default directory is /opt/ml/checkpoints/.

  • s3Uri :: Text

    Identifies the S3 path where you want SageMaker to store checkpoints. For example, s3://bucket-name/key-name-prefix.

Instances

Instances details
FromJSON CheckpointConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CheckpointConfig

Methods

parseJSON :: Value -> Parser CheckpointConfig #

parseJSONList :: Value -> Parser [CheckpointConfig] #

ToJSON CheckpointConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CheckpointConfig

Methods

toJSON :: CheckpointConfig -> Value #

toEncoding :: CheckpointConfig -> Encoding #

toJSONList :: [CheckpointConfig] -> Value #

toEncodingList :: [CheckpointConfig] -> Encoding #

Generic CheckpointConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CheckpointConfig

Associated Types

type Rep CheckpointConfig :: Type -> Type #

Methods

from :: CheckpointConfig -> Rep CheckpointConfig x #

to :: Rep CheckpointConfig x -> CheckpointConfig #

Read CheckpointConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CheckpointConfig

Methods

readsPrec :: Int -> ReadS CheckpointConfig #

readList :: ReadS [CheckpointConfig] #

readPrec :: ReadPrec CheckpointConfig #

readListPrec :: ReadPrec [CheckpointConfig] #

Show CheckpointConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CheckpointConfig

Methods

showsPrec :: Int -> CheckpointConfig -> ShowS #

show :: CheckpointConfig -> String #

showList :: [CheckpointConfig] -> ShowS #

NFData CheckpointConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CheckpointConfig

Methods

rnf :: CheckpointConfig -> () #

Eq CheckpointConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CheckpointConfig

Methods

(==) :: CheckpointConfig -> CheckpointConfig -> Bool #

(/=) :: CheckpointConfig -> CheckpointConfig -> Bool #

Hashable CheckpointConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CheckpointConfig

Methods

hashWithSalt :: Int -> CheckpointConfig -> Int #

hash :: CheckpointConfig -> Int #

type Rep CheckpointConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CheckpointConfig

type Rep CheckpointConfig = D1 ('MetaData "CheckpointConfig" "Amazonka.SageMaker.Types.CheckpointConfig" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "CheckpointConfig'" 'PrefixI 'True) (S1 ('MetaSel ('Just "localPath") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "s3Uri") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))

newCheckpointConfig Source #

Arguments

:: Text

$sel:s3Uri:CheckpointConfig'

-> CheckpointConfig 

Create a value of CheckpointConfig with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:localPath:CheckpointConfig', checkpointConfig_localPath - (Optional) The local directory where checkpoints are written. The default directory is /opt/ml/checkpoints/.

$sel:s3Uri:CheckpointConfig', checkpointConfig_s3Uri - Identifies the S3 path where you want SageMaker to store checkpoints. For example, s3://bucket-name/key-name-prefix.

checkpointConfig_localPath :: Lens' CheckpointConfig (Maybe Text) Source #

(Optional) The local directory where checkpoints are written. The default directory is /opt/ml/checkpoints/.

checkpointConfig_s3Uri :: Lens' CheckpointConfig Text Source #

Identifies the S3 path where you want SageMaker to store checkpoints. For example, s3://bucket-name/key-name-prefix.

ClarifyCheckStepMetadata

data ClarifyCheckStepMetadata Source #

The container for the metadata for the ClarifyCheck step. For more information, see the topic on ClarifyCheck step in the Amazon SageMaker Developer Guide.

See: newClarifyCheckStepMetadata smart constructor.

Constructors

ClarifyCheckStepMetadata' 

Fields

  • baselineUsedForDriftCheckConstraints :: Maybe Text

    The Amazon S3 URI of baseline constraints file to be used for the drift check.

  • calculatedBaselineConstraints :: Maybe Text

    The Amazon S3 URI of the newly calculated baseline constraints file.

  • checkJobArn :: Maybe Text

    The Amazon Resource Name (ARN) of the check processing job that was run by this step's execution.

  • checkType :: Maybe Text

    The type of the Clarify Check step

  • modelPackageGroupName :: Maybe Text

    The model package group name.

  • registerNewBaseline :: Maybe Bool

    This flag indicates if a newly calculated baseline can be accessed through step properties BaselineUsedForDriftCheckConstraints and BaselineUsedForDriftCheckStatistics. If it is set to False, the previous baseline of the configured check type must also be available. These can be accessed through the BaselineUsedForDriftCheckConstraints property.

  • skipCheck :: Maybe Bool

    This flag indicates if the drift check against the previous baseline will be skipped or not. If it is set to False, the previous baseline of the configured check type must be available.

  • violationReport :: Maybe Text

    The Amazon S3 URI of the violation report if violations are detected.

Instances

Instances details
FromJSON ClarifyCheckStepMetadata Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ClarifyCheckStepMetadata

Methods

parseJSON :: Value -> Parser ClarifyCheckStepMetadata #

parseJSONList :: Value -> Parser [ClarifyCheckStepMetadata] #

Generic ClarifyCheckStepMetadata Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ClarifyCheckStepMetadata

Associated Types

type Rep ClarifyCheckStepMetadata :: Type -> Type #

Methods

from :: ClarifyCheckStepMetadata -> Rep ClarifyCheckStepMetadata x #

to :: Rep ClarifyCheckStepMetadata x -> ClarifyCheckStepMetadata #

Read ClarifyCheckStepMetadata Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ClarifyCheckStepMetadata

Methods

readsPrec :: Int -> ReadS ClarifyCheckStepMetadata #

readList :: ReadS [ClarifyCheckStepMetadata] #

readPrec :: ReadPrec ClarifyCheckStepMetadata #

readListPrec :: ReadPrec [ClarifyCheckStepMetadata] #

Show ClarifyCheckStepMetadata Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ClarifyCheckStepMetadata

Methods

showsPrec :: Int -> ClarifyCheckStepMetadata -> ShowS #

show :: ClarifyCheckStepMetadata -> String #

showList :: [ClarifyCheckStepMetadata] -> ShowS #

NFData ClarifyCheckStepMetadata Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ClarifyCheckStepMetadata

Methods

rnf :: ClarifyCheckStepMetadata -> () #

Eq ClarifyCheckStepMetadata Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ClarifyCheckStepMetadata

Methods

(==) :: ClarifyCheckStepMetadata -> ClarifyCheckStepMetadata -> Bool #

(/=) :: ClarifyCheckStepMetadata -> ClarifyCheckStepMetadata -> Bool #

Hashable ClarifyCheckStepMetadata Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ClarifyCheckStepMetadata

Methods

hashWithSalt :: Int -> ClarifyCheckStepMetadata -> Int #

hash :: ClarifyCheckStepMetadata -> Int #

type Rep ClarifyCheckStepMetadata Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ClarifyCheckStepMetadata

type Rep ClarifyCheckStepMetadata = D1 ('MetaData "ClarifyCheckStepMetadata" "Amazonka.SageMaker.Types.ClarifyCheckStepMetadata" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "ClarifyCheckStepMetadata'" 'PrefixI 'True) (((S1 ('MetaSel ('Just "baselineUsedForDriftCheckConstraints") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "calculatedBaselineConstraints") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))) :*: (S1 ('MetaSel ('Just "checkJobArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "checkType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))) :*: ((S1 ('MetaSel ('Just "modelPackageGroupName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "registerNewBaseline") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Bool))) :*: (S1 ('MetaSel ('Just "skipCheck") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Bool)) :*: S1 ('MetaSel ('Just "violationReport") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))))

newClarifyCheckStepMetadata :: ClarifyCheckStepMetadata Source #

Create a value of ClarifyCheckStepMetadata with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:baselineUsedForDriftCheckConstraints:ClarifyCheckStepMetadata', clarifyCheckStepMetadata_baselineUsedForDriftCheckConstraints - The Amazon S3 URI of baseline constraints file to be used for the drift check.

$sel:calculatedBaselineConstraints:ClarifyCheckStepMetadata', clarifyCheckStepMetadata_calculatedBaselineConstraints - The Amazon S3 URI of the newly calculated baseline constraints file.

$sel:checkJobArn:ClarifyCheckStepMetadata', clarifyCheckStepMetadata_checkJobArn - The Amazon Resource Name (ARN) of the check processing job that was run by this step's execution.

$sel:checkType:ClarifyCheckStepMetadata', clarifyCheckStepMetadata_checkType - The type of the Clarify Check step

$sel:modelPackageGroupName:ClarifyCheckStepMetadata', clarifyCheckStepMetadata_modelPackageGroupName - The model package group name.

$sel:registerNewBaseline:ClarifyCheckStepMetadata', clarifyCheckStepMetadata_registerNewBaseline - This flag indicates if a newly calculated baseline can be accessed through step properties BaselineUsedForDriftCheckConstraints and BaselineUsedForDriftCheckStatistics. If it is set to False, the previous baseline of the configured check type must also be available. These can be accessed through the BaselineUsedForDriftCheckConstraints property.

$sel:skipCheck:ClarifyCheckStepMetadata', clarifyCheckStepMetadata_skipCheck - This flag indicates if the drift check against the previous baseline will be skipped or not. If it is set to False, the previous baseline of the configured check type must be available.

$sel:violationReport:ClarifyCheckStepMetadata', clarifyCheckStepMetadata_violationReport - The Amazon S3 URI of the violation report if violations are detected.

clarifyCheckStepMetadata_baselineUsedForDriftCheckConstraints :: Lens' ClarifyCheckStepMetadata (Maybe Text) Source #

The Amazon S3 URI of baseline constraints file to be used for the drift check.

clarifyCheckStepMetadata_calculatedBaselineConstraints :: Lens' ClarifyCheckStepMetadata (Maybe Text) Source #

The Amazon S3 URI of the newly calculated baseline constraints file.

clarifyCheckStepMetadata_checkJobArn :: Lens' ClarifyCheckStepMetadata (Maybe Text) Source #

The Amazon Resource Name (ARN) of the check processing job that was run by this step's execution.

clarifyCheckStepMetadata_checkType :: Lens' ClarifyCheckStepMetadata (Maybe Text) Source #

The type of the Clarify Check step

clarifyCheckStepMetadata_modelPackageGroupName :: Lens' ClarifyCheckStepMetadata (Maybe Text) Source #

The model package group name.

clarifyCheckStepMetadata_registerNewBaseline :: Lens' ClarifyCheckStepMetadata (Maybe Bool) Source #

This flag indicates if a newly calculated baseline can be accessed through step properties BaselineUsedForDriftCheckConstraints and BaselineUsedForDriftCheckStatistics. If it is set to False, the previous baseline of the configured check type must also be available. These can be accessed through the BaselineUsedForDriftCheckConstraints property.

clarifyCheckStepMetadata_skipCheck :: Lens' ClarifyCheckStepMetadata (Maybe Bool) Source #

This flag indicates if the drift check against the previous baseline will be skipped or not. If it is set to False, the previous baseline of the configured check type must be available.

clarifyCheckStepMetadata_violationReport :: Lens' ClarifyCheckStepMetadata (Maybe Text) Source #

The Amazon S3 URI of the violation report if violations are detected.

ClarifyExplainerConfig

data ClarifyExplainerConfig Source #

The configuration parameters for the SageMaker Clarify explainer.

See: newClarifyExplainerConfig smart constructor.

Constructors

ClarifyExplainerConfig' 

Fields

Instances

Instances details
FromJSON ClarifyExplainerConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ClarifyExplainerConfig

Methods

parseJSON :: Value -> Parser ClarifyExplainerConfig #

parseJSONList :: Value -> Parser [ClarifyExplainerConfig] #

ToJSON ClarifyExplainerConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ClarifyExplainerConfig

Methods

toJSON :: ClarifyExplainerConfig -> Value #

toEncoding :: ClarifyExplainerConfig -> Encoding #

toJSONList :: [ClarifyExplainerConfig] -> Value #

toEncodingList :: [ClarifyExplainerConfig] -> Encoding #

Generic ClarifyExplainerConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ClarifyExplainerConfig

Associated Types

type Rep ClarifyExplainerConfig :: Type -> Type #

Methods

from :: ClarifyExplainerConfig -> Rep ClarifyExplainerConfig x #

to :: Rep ClarifyExplainerConfig x -> ClarifyExplainerConfig #

Read ClarifyExplainerConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ClarifyExplainerConfig

Methods

readsPrec :: Int -> ReadS ClarifyExplainerConfig #

readList :: ReadS [ClarifyExplainerConfig] #

readPrec :: ReadPrec ClarifyExplainerConfig #

readListPrec :: ReadPrec [ClarifyExplainerConfig] #

Show ClarifyExplainerConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ClarifyExplainerConfig

Methods

showsPrec :: Int -> ClarifyExplainerConfig -> ShowS #

show :: ClarifyExplainerConfig -> String #

showList :: [ClarifyExplainerConfig] -> ShowS #

NFData ClarifyExplainerConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ClarifyExplainerConfig

Methods

rnf :: ClarifyExplainerConfig -> () #

Eq ClarifyExplainerConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ClarifyExplainerConfig

Methods

(==) :: ClarifyExplainerConfig -> ClarifyExplainerConfig -> Bool #

(/=) :: ClarifyExplainerConfig -> ClarifyExplainerConfig -> Bool #

Hashable ClarifyExplainerConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ClarifyExplainerConfig

Methods

hashWithSalt :: Int -> ClarifyExplainerConfig -> Int #

hash :: ClarifyExplainerConfig -> Int #

type Rep ClarifyExplainerConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ClarifyExplainerConfig

type Rep ClarifyExplainerConfig = D1 ('MetaData "ClarifyExplainerConfig" "Amazonka.SageMaker.Types.ClarifyExplainerConfig" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "ClarifyExplainerConfig'" 'PrefixI 'True) (S1 ('MetaSel ('Just "enableExplanations") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: (S1 ('MetaSel ('Just "inferenceConfig") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ClarifyInferenceConfig)) :*: S1 ('MetaSel ('Just "shapConfig") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 ClarifyShapConfig))))

newClarifyExplainerConfig Source #

Arguments

:: ClarifyShapConfig

$sel:shapConfig:ClarifyExplainerConfig'

-> ClarifyExplainerConfig 

Create a value of ClarifyExplainerConfig with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:enableExplanations:ClarifyExplainerConfig', clarifyExplainerConfig_enableExplanations - A JMESPath boolean expression used to filter which records to explain. Explanations are activated by default. See EnableExplanations for additional information.

$sel:inferenceConfig:ClarifyExplainerConfig', clarifyExplainerConfig_inferenceConfig - The inference configuration parameter for the model container.

$sel:shapConfig:ClarifyExplainerConfig', clarifyExplainerConfig_shapConfig - The configuration for SHAP analysis.

clarifyExplainerConfig_enableExplanations :: Lens' ClarifyExplainerConfig (Maybe Text) Source #

A JMESPath boolean expression used to filter which records to explain. Explanations are activated by default. See EnableExplanations for additional information.

clarifyExplainerConfig_inferenceConfig :: Lens' ClarifyExplainerConfig (Maybe ClarifyInferenceConfig) Source #

The inference configuration parameter for the model container.

clarifyExplainerConfig_shapConfig :: Lens' ClarifyExplainerConfig ClarifyShapConfig Source #

The configuration for SHAP analysis.

ClarifyInferenceConfig

data ClarifyInferenceConfig Source #

The inference configuration parameter for the model container.

See: newClarifyInferenceConfig smart constructor.

Constructors

ClarifyInferenceConfig' 

Fields

  • contentTemplate :: Maybe Text

    A template string used to format a JSON record into an acceptable model container input. For example, a ContentTemplate string '{"myfeatures":$features}' will format a list of features [1,2,3] into the record string '{"myfeatures":[1,2,3]}'. Required only when the model container input is in JSON Lines format.

  • featureHeaders :: Maybe (NonEmpty Text)

    The names of the features. If provided, these are included in the endpoint response payload to help readability of the InvokeEndpoint output. See the Response section under Invoke the endpoint in the Developer Guide for more information.

  • featureTypes :: Maybe (NonEmpty ClarifyFeatureType)

    A list of data types of the features (optional). Applicable only to NLP explainability. If provided, FeatureTypes must have at least one 'text' string (for example, ['text']). If FeatureTypes is not provided, the explainer infers the feature types based on the baseline data. The feature types are included in the endpoint response payload. For additional information see the response section under Invoke the endpoint in the Developer Guide for more information.

  • featuresAttribute :: Maybe Text

    Provides the JMESPath expression to extract the features from a model container input in JSON Lines format. For example, if FeaturesAttribute is the JMESPath expression 'myfeatures', it extracts a list of features [1,2,3] from request data '{"myfeatures":[1,2,3]}'.

  • labelAttribute :: Maybe Text

    A JMESPath expression used to locate the list of label headers in the model container output.

    Example: If the model container output of a batch request is '{"labels":["cat","dog","fish"],"probability":[0.6,0.3,0.1]}', then set LabelAttribute to 'labels' to extract the list of label headers ["cat","dog","fish"]

  • labelHeaders :: Maybe (NonEmpty Text)

    For multiclass classification problems, the label headers are the names of the classes. Otherwise, the label header is the name of the predicted label. These are used to help readability for the output of the InvokeEndpoint API. See the response section under Invoke the endpoint in the Developer Guide for more information. If there are no label headers in the model container output, provide them manually using this parameter.

  • labelIndex :: Maybe Natural

    A zero-based index used to extract a label header or list of label headers from model container output in CSV format.

    Example for a multiclass model: If the model container output consists of label headers followed by probabilities: '"[\'cat\',\'dog\',\'fish\']","[0.1,0.6,0.3]"', set LabelIndex to 0 to select the label headers ['cat','dog','fish'].

  • maxPayloadInMB :: Maybe Natural

    The maximum payload size (MB) allowed of a request from the explainer to the model container. Defaults to 6 MB.

  • maxRecordCount :: Maybe Natural

    The maximum number of records in a request that the model container can process when querying the model container for the predictions of a synthetic dataset. A record is a unit of input data that inference can be made on, for example, a single line in CSV data. If MaxRecordCount is 1, the model container expects one record per request. A value of 2 or greater means that the model expects batch requests, which can reduce overhead and speed up the inferencing process. If this parameter is not provided, the explainer will tune the record count per request according to the model container's capacity at runtime.

  • probabilityAttribute :: Maybe Text

    A JMESPath expression used to extract the probability (or score) from the model container output if the model container is in JSON Lines format.

    Example: If the model container output of a single request is '{"predicted_label":1,"probability":0.6}', then set ProbabilityAttribute to 'probability'.

  • probabilityIndex :: Maybe Natural

    A zero-based index used to extract a probability value (score) or list from model container output in CSV format. If this value is not provided, the entire model container output will be treated as a probability value (score) or list.

    Example for a single class model: If the model container output consists of a string-formatted prediction label followed by its probability: '1,0.6', set ProbabilityIndex to 1 to select the probability value 0.6.

    Example for a multiclass model: If the model container output consists of a string-formatted prediction label followed by its probability: '"[\'cat\',\'dog\',\'fish\']","[0.1,0.6,0.3]"', set ProbabilityIndex to 1 to select the probability values [0.1,0.6,0.3].

Instances

Instances details
FromJSON ClarifyInferenceConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ClarifyInferenceConfig

Methods

parseJSON :: Value -> Parser ClarifyInferenceConfig #

parseJSONList :: Value -> Parser [ClarifyInferenceConfig] #

ToJSON ClarifyInferenceConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ClarifyInferenceConfig

Methods

toJSON :: ClarifyInferenceConfig -> Value #

toEncoding :: ClarifyInferenceConfig -> Encoding #

toJSONList :: [ClarifyInferenceConfig] -> Value #

toEncodingList :: [ClarifyInferenceConfig] -> Encoding #

Generic ClarifyInferenceConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ClarifyInferenceConfig

Associated Types

type Rep ClarifyInferenceConfig :: Type -> Type #

Methods

from :: ClarifyInferenceConfig -> Rep ClarifyInferenceConfig x #

to :: Rep ClarifyInferenceConfig x -> ClarifyInferenceConfig #

Read ClarifyInferenceConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ClarifyInferenceConfig

Methods

readsPrec :: Int -> ReadS ClarifyInferenceConfig #

readList :: ReadS [ClarifyInferenceConfig] #

readPrec :: ReadPrec ClarifyInferenceConfig #

readListPrec :: ReadPrec [ClarifyInferenceConfig] #

Show ClarifyInferenceConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ClarifyInferenceConfig

Methods

showsPrec :: Int -> ClarifyInferenceConfig -> ShowS #

show :: ClarifyInferenceConfig -> String #

showList :: [ClarifyInferenceConfig] -> ShowS #

NFData ClarifyInferenceConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ClarifyInferenceConfig

Methods

rnf :: ClarifyInferenceConfig -> () #

Eq ClarifyInferenceConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ClarifyInferenceConfig

Methods

(==) :: ClarifyInferenceConfig -> ClarifyInferenceConfig -> Bool #

(/=) :: ClarifyInferenceConfig -> ClarifyInferenceConfig -> Bool #

Hashable ClarifyInferenceConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ClarifyInferenceConfig

Methods

hashWithSalt :: Int -> ClarifyInferenceConfig -> Int #

hash :: ClarifyInferenceConfig -> Int #

type Rep ClarifyInferenceConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ClarifyInferenceConfig

type Rep ClarifyInferenceConfig = D1 ('MetaData "ClarifyInferenceConfig" "Amazonka.SageMaker.Types.ClarifyInferenceConfig" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "ClarifyInferenceConfig'" 'PrefixI 'True) (((S1 ('MetaSel ('Just "contentTemplate") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "featureHeaders") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe (NonEmpty Text)))) :*: (S1 ('MetaSel ('Just "featureTypes") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe (NonEmpty ClarifyFeatureType))) :*: (S1 ('MetaSel ('Just "featuresAttribute") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "labelAttribute") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))) :*: ((S1 ('MetaSel ('Just "labelHeaders") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe (NonEmpty Text))) :*: (S1 ('MetaSel ('Just "labelIndex") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural)) :*: S1 ('MetaSel ('Just "maxPayloadInMB") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural)))) :*: (S1 ('MetaSel ('Just "maxRecordCount") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural)) :*: (S1 ('MetaSel ('Just "probabilityAttribute") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "probabilityIndex") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural)))))))

newClarifyInferenceConfig :: ClarifyInferenceConfig Source #

Create a value of ClarifyInferenceConfig with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:contentTemplate:ClarifyInferenceConfig', clarifyInferenceConfig_contentTemplate - A template string used to format a JSON record into an acceptable model container input. For example, a ContentTemplate string '{"myfeatures":$features}' will format a list of features [1,2,3] into the record string '{"myfeatures":[1,2,3]}'. Required only when the model container input is in JSON Lines format.

$sel:featureHeaders:ClarifyInferenceConfig', clarifyInferenceConfig_featureHeaders - The names of the features. If provided, these are included in the endpoint response payload to help readability of the InvokeEndpoint output. See the Response section under Invoke the endpoint in the Developer Guide for more information.

$sel:featureTypes:ClarifyInferenceConfig', clarifyInferenceConfig_featureTypes - A list of data types of the features (optional). Applicable only to NLP explainability. If provided, FeatureTypes must have at least one 'text' string (for example, ['text']). If FeatureTypes is not provided, the explainer infers the feature types based on the baseline data. The feature types are included in the endpoint response payload. For additional information see the response section under Invoke the endpoint in the Developer Guide for more information.

$sel:featuresAttribute:ClarifyInferenceConfig', clarifyInferenceConfig_featuresAttribute - Provides the JMESPath expression to extract the features from a model container input in JSON Lines format. For example, if FeaturesAttribute is the JMESPath expression 'myfeatures', it extracts a list of features [1,2,3] from request data '{"myfeatures":[1,2,3]}'.

$sel:labelAttribute:ClarifyInferenceConfig', clarifyInferenceConfig_labelAttribute - A JMESPath expression used to locate the list of label headers in the model container output.

Example: If the model container output of a batch request is '{"labels":["cat","dog","fish"],"probability":[0.6,0.3,0.1]}', then set LabelAttribute to 'labels' to extract the list of label headers ["cat","dog","fish"]

$sel:labelHeaders:ClarifyInferenceConfig', clarifyInferenceConfig_labelHeaders - For multiclass classification problems, the label headers are the names of the classes. Otherwise, the label header is the name of the predicted label. These are used to help readability for the output of the InvokeEndpoint API. See the response section under Invoke the endpoint in the Developer Guide for more information. If there are no label headers in the model container output, provide them manually using this parameter.

$sel:labelIndex:ClarifyInferenceConfig', clarifyInferenceConfig_labelIndex - A zero-based index used to extract a label header or list of label headers from model container output in CSV format.

Example for a multiclass model: If the model container output consists of label headers followed by probabilities: '"[\'cat\',\'dog\',\'fish\']","[0.1,0.6,0.3]"', set LabelIndex to 0 to select the label headers ['cat','dog','fish'].

$sel:maxPayloadInMB:ClarifyInferenceConfig', clarifyInferenceConfig_maxPayloadInMB - The maximum payload size (MB) allowed of a request from the explainer to the model container. Defaults to 6 MB.

$sel:maxRecordCount:ClarifyInferenceConfig', clarifyInferenceConfig_maxRecordCount - The maximum number of records in a request that the model container can process when querying the model container for the predictions of a synthetic dataset. A record is a unit of input data that inference can be made on, for example, a single line in CSV data. If MaxRecordCount is 1, the model container expects one record per request. A value of 2 or greater means that the model expects batch requests, which can reduce overhead and speed up the inferencing process. If this parameter is not provided, the explainer will tune the record count per request according to the model container's capacity at runtime.

$sel:probabilityAttribute:ClarifyInferenceConfig', clarifyInferenceConfig_probabilityAttribute - A JMESPath expression used to extract the probability (or score) from the model container output if the model container is in JSON Lines format.

Example: If the model container output of a single request is '{"predicted_label":1,"probability":0.6}', then set ProbabilityAttribute to 'probability'.

$sel:probabilityIndex:ClarifyInferenceConfig', clarifyInferenceConfig_probabilityIndex - A zero-based index used to extract a probability value (score) or list from model container output in CSV format. If this value is not provided, the entire model container output will be treated as a probability value (score) or list.

Example for a single class model: If the model container output consists of a string-formatted prediction label followed by its probability: '1,0.6', set ProbabilityIndex to 1 to select the probability value 0.6.

Example for a multiclass model: If the model container output consists of a string-formatted prediction label followed by its probability: '"[\'cat\',\'dog\',\'fish\']","[0.1,0.6,0.3]"', set ProbabilityIndex to 1 to select the probability values [0.1,0.6,0.3].

clarifyInferenceConfig_contentTemplate :: Lens' ClarifyInferenceConfig (Maybe Text) Source #

A template string used to format a JSON record into an acceptable model container input. For example, a ContentTemplate string '{"myfeatures":$features}' will format a list of features [1,2,3] into the record string '{"myfeatures":[1,2,3]}'. Required only when the model container input is in JSON Lines format.

clarifyInferenceConfig_featureHeaders :: Lens' ClarifyInferenceConfig (Maybe (NonEmpty Text)) Source #

The names of the features. If provided, these are included in the endpoint response payload to help readability of the InvokeEndpoint output. See the Response section under Invoke the endpoint in the Developer Guide for more information.

clarifyInferenceConfig_featureTypes :: Lens' ClarifyInferenceConfig (Maybe (NonEmpty ClarifyFeatureType)) Source #

A list of data types of the features (optional). Applicable only to NLP explainability. If provided, FeatureTypes must have at least one 'text' string (for example, ['text']). If FeatureTypes is not provided, the explainer infers the feature types based on the baseline data. The feature types are included in the endpoint response payload. For additional information see the response section under Invoke the endpoint in the Developer Guide for more information.

clarifyInferenceConfig_featuresAttribute :: Lens' ClarifyInferenceConfig (Maybe Text) Source #

Provides the JMESPath expression to extract the features from a model container input in JSON Lines format. For example, if FeaturesAttribute is the JMESPath expression 'myfeatures', it extracts a list of features [1,2,3] from request data '{"myfeatures":[1,2,3]}'.

clarifyInferenceConfig_labelAttribute :: Lens' ClarifyInferenceConfig (Maybe Text) Source #

A JMESPath expression used to locate the list of label headers in the model container output.

Example: If the model container output of a batch request is '{"labels":["cat","dog","fish"],"probability":[0.6,0.3,0.1]}', then set LabelAttribute to 'labels' to extract the list of label headers ["cat","dog","fish"]

clarifyInferenceConfig_labelHeaders :: Lens' ClarifyInferenceConfig (Maybe (NonEmpty Text)) Source #

For multiclass classification problems, the label headers are the names of the classes. Otherwise, the label header is the name of the predicted label. These are used to help readability for the output of the InvokeEndpoint API. See the response section under Invoke the endpoint in the Developer Guide for more information. If there are no label headers in the model container output, provide them manually using this parameter.

clarifyInferenceConfig_labelIndex :: Lens' ClarifyInferenceConfig (Maybe Natural) Source #

A zero-based index used to extract a label header or list of label headers from model container output in CSV format.

Example for a multiclass model: If the model container output consists of label headers followed by probabilities: '"[\'cat\',\'dog\',\'fish\']","[0.1,0.6,0.3]"', set LabelIndex to 0 to select the label headers ['cat','dog','fish'].

clarifyInferenceConfig_maxPayloadInMB :: Lens' ClarifyInferenceConfig (Maybe Natural) Source #

The maximum payload size (MB) allowed of a request from the explainer to the model container. Defaults to 6 MB.

clarifyInferenceConfig_maxRecordCount :: Lens' ClarifyInferenceConfig (Maybe Natural) Source #

The maximum number of records in a request that the model container can process when querying the model container for the predictions of a synthetic dataset. A record is a unit of input data that inference can be made on, for example, a single line in CSV data. If MaxRecordCount is 1, the model container expects one record per request. A value of 2 or greater means that the model expects batch requests, which can reduce overhead and speed up the inferencing process. If this parameter is not provided, the explainer will tune the record count per request according to the model container's capacity at runtime.

clarifyInferenceConfig_probabilityAttribute :: Lens' ClarifyInferenceConfig (Maybe Text) Source #

A JMESPath expression used to extract the probability (or score) from the model container output if the model container is in JSON Lines format.

Example: If the model container output of a single request is '{"predicted_label":1,"probability":0.6}', then set ProbabilityAttribute to 'probability'.

clarifyInferenceConfig_probabilityIndex :: Lens' ClarifyInferenceConfig (Maybe Natural) Source #

A zero-based index used to extract a probability value (score) or list from model container output in CSV format. If this value is not provided, the entire model container output will be treated as a probability value (score) or list.

Example for a single class model: If the model container output consists of a string-formatted prediction label followed by its probability: '1,0.6', set ProbabilityIndex to 1 to select the probability value 0.6.

Example for a multiclass model: If the model container output consists of a string-formatted prediction label followed by its probability: '"[\'cat\',\'dog\',\'fish\']","[0.1,0.6,0.3]"', set ProbabilityIndex to 1 to select the probability values [0.1,0.6,0.3].

ClarifyShapBaselineConfig

data ClarifyShapBaselineConfig Source #

The configuration for the SHAP baseline (also called the background or reference dataset) of the Kernal SHAP algorithm.

  • The number of records in the baseline data determines the size of the synthetic dataset, which has an impact on latency of explainability requests. For more information, see the __Synthetic data__ of Configure and create an endpoint.
  • ShapBaseline and ShapBaselineUri are mutually exclusive parameters. One or the either is required to configure a SHAP baseline.

See: newClarifyShapBaselineConfig smart constructor.

Constructors

ClarifyShapBaselineConfig' 

Fields

  • mimeType :: Maybe Text

    The MIME type of the baseline data. Choose from 'text/csv' or 'application/jsonlines'. Defaults to 'text/csv'.

  • shapBaseline :: Maybe Text

    The inline SHAP baseline data in string format. ShapBaseline can have one or multiple records to be used as the baseline dataset. The format of the SHAP baseline file should be the same format as the training dataset. For example, if the training dataset is in CSV format and each record contains four features, and all features are numerical, then the format of the baseline data should also share these characteristics. For natural language processing (NLP) of text columns, the baseline value should be the value used to replace the unit of text specified by the Granularity of the TextConfig parameter. The size limit for ShapBasline is 4 KB. Use the ShapBaselineUri parameter if you want to provide more than 4 KB of baseline data.

  • shapBaselineUri :: Maybe Text

    The uniform resource identifier (URI) of the S3 bucket where the SHAP baseline file is stored. The format of the SHAP baseline file should be the same format as the format of the training dataset. For example, if the training dataset is in CSV format, and each record in the training dataset has four features, and all features are numerical, then the baseline file should also have this same format. Each record should contain only the features. If you are using a virtual private cloud (VPC), the ShapBaselineUri should be accessible to the VPC. For more information about setting up endpoints with Amazon Virtual Private Cloud, see Give SageMaker access to Resources in your Amazon Virtual Private Cloud.

Instances

Instances details
FromJSON ClarifyShapBaselineConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ClarifyShapBaselineConfig

Methods

parseJSON :: Value -> Parser ClarifyShapBaselineConfig #

parseJSONList :: Value -> Parser [ClarifyShapBaselineConfig] #

ToJSON ClarifyShapBaselineConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ClarifyShapBaselineConfig

Methods

toJSON :: ClarifyShapBaselineConfig -> Value #

toEncoding :: ClarifyShapBaselineConfig -> Encoding #

toJSONList :: [ClarifyShapBaselineConfig] -> Value #

toEncodingList :: [ClarifyShapBaselineConfig] -> Encoding #

Generic ClarifyShapBaselineConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ClarifyShapBaselineConfig

Associated Types

type Rep ClarifyShapBaselineConfig :: Type -> Type #

Methods

from :: ClarifyShapBaselineConfig -> Rep ClarifyShapBaselineConfig x #

to :: Rep ClarifyShapBaselineConfig x -> ClarifyShapBaselineConfig #

Read ClarifyShapBaselineConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ClarifyShapBaselineConfig

Methods

readsPrec :: Int -> ReadS ClarifyShapBaselineConfig #

readList :: ReadS [ClarifyShapBaselineConfig] #

readPrec :: ReadPrec ClarifyShapBaselineConfig #

readListPrec :: ReadPrec [ClarifyShapBaselineConfig] #

Show ClarifyShapBaselineConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ClarifyShapBaselineConfig

Methods

showsPrec :: Int -> ClarifyShapBaselineConfig -> ShowS #

show :: ClarifyShapBaselineConfig -> String #

showList :: [ClarifyShapBaselineConfig] -> ShowS #

NFData ClarifyShapBaselineConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ClarifyShapBaselineConfig

Methods

rnf :: ClarifyShapBaselineConfig -> () #

Eq ClarifyShapBaselineConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ClarifyShapBaselineConfig

Methods

(==) :: ClarifyShapBaselineConfig -> ClarifyShapBaselineConfig -> Bool #

(/=) :: ClarifyShapBaselineConfig -> ClarifyShapBaselineConfig -> Bool #

Hashable ClarifyShapBaselineConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ClarifyShapBaselineConfig

Methods

hashWithSalt :: Int -> ClarifyShapBaselineConfig -> Int #

hash :: ClarifyShapBaselineConfig -> Int #

type Rep ClarifyShapBaselineConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ClarifyShapBaselineConfig

type Rep ClarifyShapBaselineConfig = D1 ('MetaData "ClarifyShapBaselineConfig" "Amazonka.SageMaker.Types.ClarifyShapBaselineConfig" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "ClarifyShapBaselineConfig'" 'PrefixI 'True) (S1 ('MetaSel ('Just "mimeType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: (S1 ('MetaSel ('Just "shapBaseline") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "shapBaselineUri") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))))

newClarifyShapBaselineConfig :: ClarifyShapBaselineConfig Source #

Create a value of ClarifyShapBaselineConfig with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:mimeType:ClarifyShapBaselineConfig', clarifyShapBaselineConfig_mimeType - The MIME type of the baseline data. Choose from 'text/csv' or 'application/jsonlines'. Defaults to 'text/csv'.

$sel:shapBaseline:ClarifyShapBaselineConfig', clarifyShapBaselineConfig_shapBaseline - The inline SHAP baseline data in string format. ShapBaseline can have one or multiple records to be used as the baseline dataset. The format of the SHAP baseline file should be the same format as the training dataset. For example, if the training dataset is in CSV format and each record contains four features, and all features are numerical, then the format of the baseline data should also share these characteristics. For natural language processing (NLP) of text columns, the baseline value should be the value used to replace the unit of text specified by the Granularity of the TextConfig parameter. The size limit for ShapBasline is 4 KB. Use the ShapBaselineUri parameter if you want to provide more than 4 KB of baseline data.

$sel:shapBaselineUri:ClarifyShapBaselineConfig', clarifyShapBaselineConfig_shapBaselineUri - The uniform resource identifier (URI) of the S3 bucket where the SHAP baseline file is stored. The format of the SHAP baseline file should be the same format as the format of the training dataset. For example, if the training dataset is in CSV format, and each record in the training dataset has four features, and all features are numerical, then the baseline file should also have this same format. Each record should contain only the features. If you are using a virtual private cloud (VPC), the ShapBaselineUri should be accessible to the VPC. For more information about setting up endpoints with Amazon Virtual Private Cloud, see Give SageMaker access to Resources in your Amazon Virtual Private Cloud.

clarifyShapBaselineConfig_mimeType :: Lens' ClarifyShapBaselineConfig (Maybe Text) Source #

The MIME type of the baseline data. Choose from 'text/csv' or 'application/jsonlines'. Defaults to 'text/csv'.

clarifyShapBaselineConfig_shapBaseline :: Lens' ClarifyShapBaselineConfig (Maybe Text) Source #

The inline SHAP baseline data in string format. ShapBaseline can have one or multiple records to be used as the baseline dataset. The format of the SHAP baseline file should be the same format as the training dataset. For example, if the training dataset is in CSV format and each record contains four features, and all features are numerical, then the format of the baseline data should also share these characteristics. For natural language processing (NLP) of text columns, the baseline value should be the value used to replace the unit of text specified by the Granularity of the TextConfig parameter. The size limit for ShapBasline is 4 KB. Use the ShapBaselineUri parameter if you want to provide more than 4 KB of baseline data.

clarifyShapBaselineConfig_shapBaselineUri :: Lens' ClarifyShapBaselineConfig (Maybe Text) Source #

The uniform resource identifier (URI) of the S3 bucket where the SHAP baseline file is stored. The format of the SHAP baseline file should be the same format as the format of the training dataset. For example, if the training dataset is in CSV format, and each record in the training dataset has four features, and all features are numerical, then the baseline file should also have this same format. Each record should contain only the features. If you are using a virtual private cloud (VPC), the ShapBaselineUri should be accessible to the VPC. For more information about setting up endpoints with Amazon Virtual Private Cloud, see Give SageMaker access to Resources in your Amazon Virtual Private Cloud.

ClarifyShapConfig

data ClarifyShapConfig Source #

The configuration for SHAP analysis using SageMaker Clarify Explainer.

See: newClarifyShapConfig smart constructor.

Constructors

ClarifyShapConfig' 

Fields

  • numberOfSamples :: Maybe Natural

    The number of samples to be used for analysis by the Kernal SHAP algorithm.

    The number of samples determines the size of the synthetic dataset, which has an impact on latency of explainability requests. For more information, see the Synthetic data of Configure and create an endpoint.

  • seed :: Maybe Int

    The starting value used to initialize the random number generator in the explainer. Provide a value for this parameter to obtain a deterministic SHAP result.

  • textConfig :: Maybe ClarifyTextConfig

    A parameter that indicates if text features are treated as text and explanations are provided for individual units of text. Required for natural language processing (NLP) explainability only.

  • useLogit :: Maybe Bool

    A Boolean toggle to indicate if you want to use the logit function (true) or log-odds units (false) for model predictions. Defaults to false.

  • shapBaselineConfig :: ClarifyShapBaselineConfig

    The configuration for the SHAP baseline of the Kernal SHAP algorithm.

Instances

Instances details
FromJSON ClarifyShapConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ClarifyShapConfig

Methods

parseJSON :: Value -> Parser ClarifyShapConfig #

parseJSONList :: Value -> Parser [ClarifyShapConfig] #

ToJSON ClarifyShapConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ClarifyShapConfig

Methods

toJSON :: ClarifyShapConfig -> Value #

toEncoding :: ClarifyShapConfig -> Encoding #

toJSONList :: [ClarifyShapConfig] -> Value #

toEncodingList :: [ClarifyShapConfig] -> Encoding #

Generic ClarifyShapConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ClarifyShapConfig

Associated Types

type Rep ClarifyShapConfig :: Type -> Type #

Methods

from :: ClarifyShapConfig -> Rep ClarifyShapConfig x #

to :: Rep ClarifyShapConfig x -> ClarifyShapConfig #

Read ClarifyShapConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ClarifyShapConfig

Methods

readsPrec :: Int -> ReadS ClarifyShapConfig #

readList :: ReadS [ClarifyShapConfig] #

readPrec :: ReadPrec ClarifyShapConfig #

readListPrec :: ReadPrec [ClarifyShapConfig] #

Show ClarifyShapConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ClarifyShapConfig

Methods

showsPrec :: Int -> ClarifyShapConfig -> ShowS #

show :: ClarifyShapConfig -> String #

showList :: [ClarifyShapConfig] -> ShowS #

NFData ClarifyShapConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ClarifyShapConfig

Methods

rnf :: ClarifyShapConfig -> () #

Eq ClarifyShapConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ClarifyShapConfig

Methods

(==) :: ClarifyShapConfig -> ClarifyShapConfig -> Bool #

(/=) :: ClarifyShapConfig -> ClarifyShapConfig -> Bool #

Hashable ClarifyShapConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ClarifyShapConfig

Methods

hashWithSalt :: Int -> ClarifyShapConfig -> Int #

hash :: ClarifyShapConfig -> Int #

type Rep ClarifyShapConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ClarifyShapConfig

type Rep ClarifyShapConfig = D1 ('MetaData "ClarifyShapConfig" "Amazonka.SageMaker.Types.ClarifyShapConfig" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "ClarifyShapConfig'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "numberOfSamples") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural)) :*: S1 ('MetaSel ('Just "seed") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Int))) :*: (S1 ('MetaSel ('Just "textConfig") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ClarifyTextConfig)) :*: (S1 ('MetaSel ('Just "useLogit") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Bool)) :*: S1 ('MetaSel ('Just "shapBaselineConfig") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 ClarifyShapBaselineConfig)))))

newClarifyShapConfig Source #

Arguments

:: ClarifyShapBaselineConfig

$sel:shapBaselineConfig:ClarifyShapConfig'

-> ClarifyShapConfig 

Create a value of ClarifyShapConfig with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:numberOfSamples:ClarifyShapConfig', clarifyShapConfig_numberOfSamples - The number of samples to be used for analysis by the Kernal SHAP algorithm.

The number of samples determines the size of the synthetic dataset, which has an impact on latency of explainability requests. For more information, see the Synthetic data of Configure and create an endpoint.

$sel:seed:ClarifyShapConfig', clarifyShapConfig_seed - The starting value used to initialize the random number generator in the explainer. Provide a value for this parameter to obtain a deterministic SHAP result.

$sel:textConfig:ClarifyShapConfig', clarifyShapConfig_textConfig - A parameter that indicates if text features are treated as text and explanations are provided for individual units of text. Required for natural language processing (NLP) explainability only.

$sel:useLogit:ClarifyShapConfig', clarifyShapConfig_useLogit - A Boolean toggle to indicate if you want to use the logit function (true) or log-odds units (false) for model predictions. Defaults to false.

$sel:shapBaselineConfig:ClarifyShapConfig', clarifyShapConfig_shapBaselineConfig - The configuration for the SHAP baseline of the Kernal SHAP algorithm.

clarifyShapConfig_numberOfSamples :: Lens' ClarifyShapConfig (Maybe Natural) Source #

The number of samples to be used for analysis by the Kernal SHAP algorithm.

The number of samples determines the size of the synthetic dataset, which has an impact on latency of explainability requests. For more information, see the Synthetic data of Configure and create an endpoint.

clarifyShapConfig_seed :: Lens' ClarifyShapConfig (Maybe Int) Source #

The starting value used to initialize the random number generator in the explainer. Provide a value for this parameter to obtain a deterministic SHAP result.

clarifyShapConfig_textConfig :: Lens' ClarifyShapConfig (Maybe ClarifyTextConfig) Source #

A parameter that indicates if text features are treated as text and explanations are provided for individual units of text. Required for natural language processing (NLP) explainability only.

clarifyShapConfig_useLogit :: Lens' ClarifyShapConfig (Maybe Bool) Source #

A Boolean toggle to indicate if you want to use the logit function (true) or log-odds units (false) for model predictions. Defaults to false.

clarifyShapConfig_shapBaselineConfig :: Lens' ClarifyShapConfig ClarifyShapBaselineConfig Source #

The configuration for the SHAP baseline of the Kernal SHAP algorithm.

ClarifyTextConfig

data ClarifyTextConfig Source #

A parameter used to configure the SageMaker Clarify explainer to treat text features as text so that explanations are provided for individual units of text. Required only for natural language processing (NLP) explainability.

See: newClarifyTextConfig smart constructor.

Constructors

ClarifyTextConfig' 

Fields

  • language :: ClarifyTextLanguage

    Specifies the language of the text features in ISO 639-1 or ISO 639-3 code of a supported language.

    For a mix of multiple languages, use code 'xx'.

  • granularity :: ClarifyTextGranularity

    The unit of granularity for the analysis of text features. For example, if the unit is 'token', then each token (like a word in English) of the text is treated as a feature. SHAP values are computed for each unit/feature.

Instances

Instances details
FromJSON ClarifyTextConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ClarifyTextConfig

Methods

parseJSON :: Value -> Parser ClarifyTextConfig #

parseJSONList :: Value -> Parser [ClarifyTextConfig] #

ToJSON ClarifyTextConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ClarifyTextConfig

Methods

toJSON :: ClarifyTextConfig -> Value #

toEncoding :: ClarifyTextConfig -> Encoding #

toJSONList :: [ClarifyTextConfig] -> Value #

toEncodingList :: [ClarifyTextConfig] -> Encoding #

Generic ClarifyTextConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ClarifyTextConfig

Associated Types

type Rep ClarifyTextConfig :: Type -> Type #

Methods

from :: ClarifyTextConfig -> Rep ClarifyTextConfig x #

to :: Rep ClarifyTextConfig x -> ClarifyTextConfig #

Read ClarifyTextConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ClarifyTextConfig

Methods

readsPrec :: Int -> ReadS ClarifyTextConfig #

readList :: ReadS [ClarifyTextConfig] #

readPrec :: ReadPrec ClarifyTextConfig #

readListPrec :: ReadPrec [ClarifyTextConfig] #

Show ClarifyTextConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ClarifyTextConfig

Methods

showsPrec :: Int -> ClarifyTextConfig -> ShowS #

show :: ClarifyTextConfig -> String #

showList :: [ClarifyTextConfig] -> ShowS #

NFData ClarifyTextConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ClarifyTextConfig

Methods

rnf :: ClarifyTextConfig -> () #

Eq ClarifyTextConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ClarifyTextConfig

Methods

(==) :: ClarifyTextConfig -> ClarifyTextConfig -> Bool #

(/=) :: ClarifyTextConfig -> ClarifyTextConfig -> Bool #

Hashable ClarifyTextConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ClarifyTextConfig

Methods

hashWithSalt :: Int -> ClarifyTextConfig -> Int #

hash :: ClarifyTextConfig -> Int #

type Rep ClarifyTextConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ClarifyTextConfig

type Rep ClarifyTextConfig = D1 ('MetaData "ClarifyTextConfig" "Amazonka.SageMaker.Types.ClarifyTextConfig" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "ClarifyTextConfig'" 'PrefixI 'True) (S1 ('MetaSel ('Just "language") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 ClarifyTextLanguage) :*: S1 ('MetaSel ('Just "granularity") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 ClarifyTextGranularity)))

newClarifyTextConfig Source #

Arguments

:: ClarifyTextLanguage

$sel:language:ClarifyTextConfig'

-> ClarifyTextGranularity

$sel:granularity:ClarifyTextConfig'

-> ClarifyTextConfig 

Create a value of ClarifyTextConfig with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:language:ClarifyTextConfig', clarifyTextConfig_language - Specifies the language of the text features in ISO 639-1 or ISO 639-3 code of a supported language.

For a mix of multiple languages, use code 'xx'.

$sel:granularity:ClarifyTextConfig', clarifyTextConfig_granularity - The unit of granularity for the analysis of text features. For example, if the unit is 'token', then each token (like a word in English) of the text is treated as a feature. SHAP values are computed for each unit/feature.

clarifyTextConfig_language :: Lens' ClarifyTextConfig ClarifyTextLanguage Source #

Specifies the language of the text features in ISO 639-1 or ISO 639-3 code of a supported language.

For a mix of multiple languages, use code 'xx'.

clarifyTextConfig_granularity :: Lens' ClarifyTextConfig ClarifyTextGranularity Source #

The unit of granularity for the analysis of text features. For example, if the unit is 'token', then each token (like a word in English) of the text is treated as a feature. SHAP values are computed for each unit/feature.

CodeRepository

data CodeRepository Source #

A Git repository that SageMaker automatically displays to users for cloning in the JupyterServer application.

See: newCodeRepository smart constructor.

Constructors

CodeRepository' 

Fields

Instances

Instances details
FromJSON CodeRepository Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CodeRepository

Methods

parseJSON :: Value -> Parser CodeRepository #

parseJSONList :: Value -> Parser [CodeRepository] #

ToJSON CodeRepository Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CodeRepository

Methods

toJSON :: CodeRepository -> Value #

toEncoding :: CodeRepository -> Encoding #

toJSONList :: [CodeRepository] -> Value #

toEncodingList :: [CodeRepository] -> Encoding #

Generic CodeRepository Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CodeRepository

Associated Types

type Rep CodeRepository :: Type -> Type #

Methods

from :: CodeRepository -> Rep CodeRepository x #

to :: Rep CodeRepository x -> CodeRepository #

Read CodeRepository Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CodeRepository

Methods

readsPrec :: Int -> ReadS CodeRepository #

readList :: ReadS [CodeRepository] #

readPrec :: ReadPrec CodeRepository #

readListPrec :: ReadPrec [CodeRepository] #

Show CodeRepository Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CodeRepository

Methods

showsPrec :: Int -> CodeRepository -> ShowS #

show :: CodeRepository -> String #

showList :: [CodeRepository] -> ShowS #

NFData CodeRepository Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CodeRepository

Methods

rnf :: CodeRepository -> () #

Eq CodeRepository Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CodeRepository

Methods

(==) :: CodeRepository -> CodeRepository -> Bool #

(/=) :: CodeRepository -> CodeRepository -> Bool #

Hashable CodeRepository Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CodeRepository

Methods

hashWithSalt :: Int -> CodeRepository -> Int #

hash :: CodeRepository -> Int #

type Rep CodeRepository Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CodeRepository

type Rep CodeRepository = D1 ('MetaData "CodeRepository" "Amazonka.SageMaker.Types.CodeRepository" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "CodeRepository'" 'PrefixI 'True) (S1 ('MetaSel ('Just "repositoryUrl") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))

newCodeRepository Source #

Arguments

:: Text

$sel:repositoryUrl:CodeRepository'

-> CodeRepository 

Create a value of CodeRepository with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:repositoryUrl:CodeRepository', codeRepository_repositoryUrl - The URL of the Git repository.

codeRepository_repositoryUrl :: Lens' CodeRepository Text Source #

The URL of the Git repository.

CodeRepositorySummary

data CodeRepositorySummary Source #

Specifies summary information about a Git repository.

See: newCodeRepositorySummary smart constructor.

Constructors

CodeRepositorySummary' 

Fields

  • gitConfig :: Maybe GitConfig

    Configuration details for the Git repository, including the URL where it is located and the ARN of the Amazon Web Services Secrets Manager secret that contains the credentials used to access the repository.

  • codeRepositoryName :: Text

    The name of the Git repository.

  • codeRepositoryArn :: Text

    The Amazon Resource Name (ARN) of the Git repository.

  • creationTime :: POSIX

    The date and time that the Git repository was created.

  • lastModifiedTime :: POSIX

    The date and time that the Git repository was last modified.

Instances

Instances details
FromJSON CodeRepositorySummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CodeRepositorySummary

Methods

parseJSON :: Value -> Parser CodeRepositorySummary #

parseJSONList :: Value -> Parser [CodeRepositorySummary] #

Generic CodeRepositorySummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CodeRepositorySummary

Associated Types

type Rep CodeRepositorySummary :: Type -> Type #

Methods

from :: CodeRepositorySummary -> Rep CodeRepositorySummary x #

to :: Rep CodeRepositorySummary x -> CodeRepositorySummary #

Read CodeRepositorySummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CodeRepositorySummary

Methods

readsPrec :: Int -> ReadS CodeRepositorySummary #

readList :: ReadS [CodeRepositorySummary] #

readPrec :: ReadPrec CodeRepositorySummary #

readListPrec :: ReadPrec [CodeRepositorySummary] #

Show CodeRepositorySummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CodeRepositorySummary

Methods

showsPrec :: Int -> CodeRepositorySummary -> ShowS #

show :: CodeRepositorySummary -> String #

showList :: [CodeRepositorySummary] -> ShowS #

NFData CodeRepositorySummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CodeRepositorySummary

Methods

rnf :: CodeRepositorySummary -> () #

Eq CodeRepositorySummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CodeRepositorySummary

Methods

(==) :: CodeRepositorySummary -> CodeRepositorySummary -> Bool #

(/=) :: CodeRepositorySummary -> CodeRepositorySummary -> Bool #

Hashable CodeRepositorySummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CodeRepositorySummary

Methods

hashWithSalt :: Int -> CodeRepositorySummary -> Int #

hash :: CodeRepositorySummary -> Int #

type Rep CodeRepositorySummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CodeRepositorySummary

type Rep CodeRepositorySummary = D1 ('MetaData "CodeRepositorySummary" "Amazonka.SageMaker.Types.CodeRepositorySummary" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "CodeRepositorySummary'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "gitConfig") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe GitConfig)) :*: S1 ('MetaSel ('Just "codeRepositoryName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)) :*: (S1 ('MetaSel ('Just "codeRepositoryArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: (S1 ('MetaSel ('Just "creationTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 POSIX) :*: S1 ('MetaSel ('Just "lastModifiedTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 POSIX)))))

newCodeRepositorySummary Source #

Arguments

:: Text

$sel:codeRepositoryName:CodeRepositorySummary'

-> Text

$sel:codeRepositoryArn:CodeRepositorySummary'

-> UTCTime

$sel:creationTime:CodeRepositorySummary'

-> UTCTime

$sel:lastModifiedTime:CodeRepositorySummary'

-> CodeRepositorySummary 

Create a value of CodeRepositorySummary with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:gitConfig:CodeRepositorySummary', codeRepositorySummary_gitConfig - Configuration details for the Git repository, including the URL where it is located and the ARN of the Amazon Web Services Secrets Manager secret that contains the credentials used to access the repository.

$sel:codeRepositoryName:CodeRepositorySummary', codeRepositorySummary_codeRepositoryName - The name of the Git repository.

$sel:codeRepositoryArn:CodeRepositorySummary', codeRepositorySummary_codeRepositoryArn - The Amazon Resource Name (ARN) of the Git repository.

$sel:creationTime:CodeRepositorySummary', codeRepositorySummary_creationTime - The date and time that the Git repository was created.

$sel:lastModifiedTime:CodeRepositorySummary', codeRepositorySummary_lastModifiedTime - The date and time that the Git repository was last modified.

codeRepositorySummary_gitConfig :: Lens' CodeRepositorySummary (Maybe GitConfig) Source #

Configuration details for the Git repository, including the URL where it is located and the ARN of the Amazon Web Services Secrets Manager secret that contains the credentials used to access the repository.

codeRepositorySummary_codeRepositoryName :: Lens' CodeRepositorySummary Text Source #

The name of the Git repository.

codeRepositorySummary_codeRepositoryArn :: Lens' CodeRepositorySummary Text Source #

The Amazon Resource Name (ARN) of the Git repository.

codeRepositorySummary_creationTime :: Lens' CodeRepositorySummary UTCTime Source #

The date and time that the Git repository was created.

codeRepositorySummary_lastModifiedTime :: Lens' CodeRepositorySummary UTCTime Source #

The date and time that the Git repository was last modified.

CognitoConfig

data CognitoConfig Source #

Use this parameter to configure your Amazon Cognito workforce. A single Cognito workforce is created using and corresponds to a single Amazon Cognito user pool.

See: newCognitoConfig smart constructor.

Constructors

CognitoConfig' 

Fields

  • userPool :: Text

    A user pool is a user directory in Amazon Cognito. With a user pool, your users can sign in to your web or mobile app through Amazon Cognito. Your users can also sign in through social identity providers like Google, Facebook, Amazon, or Apple, and through SAML identity providers.

  • clientId :: Text

    The client ID for your Amazon Cognito user pool.

Instances

Instances details
FromJSON CognitoConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CognitoConfig

Methods

parseJSON :: Value -> Parser CognitoConfig #

parseJSONList :: Value -> Parser [CognitoConfig] #

ToJSON CognitoConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CognitoConfig

Methods

toJSON :: CognitoConfig -> Value #

toEncoding :: CognitoConfig -> Encoding #

toJSONList :: [CognitoConfig] -> Value #

toEncodingList :: [CognitoConfig] -> Encoding #

Generic CognitoConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CognitoConfig

Associated Types

type Rep CognitoConfig :: Type -> Type #

Methods

from :: CognitoConfig -> Rep CognitoConfig x #

to :: Rep CognitoConfig x -> CognitoConfig #

Read CognitoConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CognitoConfig

Methods

readsPrec :: Int -> ReadS CognitoConfig #

readList :: ReadS [CognitoConfig] #

readPrec :: ReadPrec CognitoConfig #

readListPrec :: ReadPrec [CognitoConfig] #

Show CognitoConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CognitoConfig

Methods

showsPrec :: Int -> CognitoConfig -> ShowS #

show :: CognitoConfig -> String #

showList :: [CognitoConfig] -> ShowS #

NFData CognitoConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CognitoConfig

Methods

rnf :: CognitoConfig -> () #

Eq CognitoConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CognitoConfig

Methods

(==) :: CognitoConfig -> CognitoConfig -> Bool #

(/=) :: CognitoConfig -> CognitoConfig -> Bool #

Hashable CognitoConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CognitoConfig

Methods

hashWithSalt :: Int -> CognitoConfig -> Int #

hash :: CognitoConfig -> Int #

type Rep CognitoConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CognitoConfig

type Rep CognitoConfig = D1 ('MetaData "CognitoConfig" "Amazonka.SageMaker.Types.CognitoConfig" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "CognitoConfig'" 'PrefixI 'True) (S1 ('MetaSel ('Just "userPool") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: S1 ('MetaSel ('Just "clientId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))

newCognitoConfig Source #

Arguments

:: Text

$sel:userPool:CognitoConfig'

-> Text

$sel:clientId:CognitoConfig'

-> CognitoConfig 

Create a value of CognitoConfig with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:userPool:CognitoConfig', cognitoConfig_userPool - A user pool is a user directory in Amazon Cognito. With a user pool, your users can sign in to your web or mobile app through Amazon Cognito. Your users can also sign in through social identity providers like Google, Facebook, Amazon, or Apple, and through SAML identity providers.

$sel:clientId:CognitoConfig', cognitoConfig_clientId - The client ID for your Amazon Cognito user pool.

cognitoConfig_userPool :: Lens' CognitoConfig Text Source #

A user pool is a user directory in Amazon Cognito. With a user pool, your users can sign in to your web or mobile app through Amazon Cognito. Your users can also sign in through social identity providers like Google, Facebook, Amazon, or Apple, and through SAML identity providers.

cognitoConfig_clientId :: Lens' CognitoConfig Text Source #

The client ID for your Amazon Cognito user pool.

CognitoMemberDefinition

data CognitoMemberDefinition Source #

Identifies a Amazon Cognito user group. A user group can be used in on or more work teams.

See: newCognitoMemberDefinition smart constructor.

Constructors

CognitoMemberDefinition' 

Fields

  • userPool :: Text

    An identifier for a user pool. The user pool must be in the same region as the service that you are calling.

  • userGroup :: Text

    An identifier for a user group.

  • clientId :: Text

    An identifier for an application client. You must create the app client ID using Amazon Cognito.

Instances

Instances details
FromJSON CognitoMemberDefinition Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CognitoMemberDefinition

Methods

parseJSON :: Value -> Parser CognitoMemberDefinition #

parseJSONList :: Value -> Parser [CognitoMemberDefinition] #

ToJSON CognitoMemberDefinition Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CognitoMemberDefinition

Methods

toJSON :: CognitoMemberDefinition -> Value #

toEncoding :: CognitoMemberDefinition -> Encoding #

toJSONList :: [CognitoMemberDefinition] -> Value #

toEncodingList :: [CognitoMemberDefinition] -> Encoding #

Generic CognitoMemberDefinition Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CognitoMemberDefinition

Associated Types

type Rep CognitoMemberDefinition :: Type -> Type #

Methods

from :: CognitoMemberDefinition -> Rep CognitoMemberDefinition x #

to :: Rep CognitoMemberDefinition x -> CognitoMemberDefinition #

Read CognitoMemberDefinition Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CognitoMemberDefinition

Methods

readsPrec :: Int -> ReadS CognitoMemberDefinition #

readList :: ReadS [CognitoMemberDefinition] #

readPrec :: ReadPrec CognitoMemberDefinition #

readListPrec :: ReadPrec [CognitoMemberDefinition] #

Show CognitoMemberDefinition Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CognitoMemberDefinition

Methods

showsPrec :: Int -> CognitoMemberDefinition -> ShowS #

show :: CognitoMemberDefinition -> String #

showList :: [CognitoMemberDefinition] -> ShowS #

NFData CognitoMemberDefinition Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CognitoMemberDefinition

Methods

rnf :: CognitoMemberDefinition -> () #

Eq CognitoMemberDefinition Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CognitoMemberDefinition

Methods

(==) :: CognitoMemberDefinition -> CognitoMemberDefinition -> Bool #

(/=) :: CognitoMemberDefinition -> CognitoMemberDefinition -> Bool #

Hashable CognitoMemberDefinition Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CognitoMemberDefinition

Methods

hashWithSalt :: Int -> CognitoMemberDefinition -> Int #

hash :: CognitoMemberDefinition -> Int #

type Rep CognitoMemberDefinition Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CognitoMemberDefinition

type Rep CognitoMemberDefinition = D1 ('MetaData "CognitoMemberDefinition" "Amazonka.SageMaker.Types.CognitoMemberDefinition" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "CognitoMemberDefinition'" 'PrefixI 'True) (S1 ('MetaSel ('Just "userPool") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: (S1 ('MetaSel ('Just "userGroup") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: S1 ('MetaSel ('Just "clientId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text))))

newCognitoMemberDefinition Source #

Arguments

:: Text

$sel:userPool:CognitoMemberDefinition'

-> Text

$sel:userGroup:CognitoMemberDefinition'

-> Text

$sel:clientId:CognitoMemberDefinition'

-> CognitoMemberDefinition 

Create a value of CognitoMemberDefinition with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:userPool:CognitoMemberDefinition', cognitoMemberDefinition_userPool - An identifier for a user pool. The user pool must be in the same region as the service that you are calling.

$sel:userGroup:CognitoMemberDefinition', cognitoMemberDefinition_userGroup - An identifier for a user group.

$sel:clientId:CognitoMemberDefinition', cognitoMemberDefinition_clientId - An identifier for an application client. You must create the app client ID using Amazon Cognito.

cognitoMemberDefinition_userPool :: Lens' CognitoMemberDefinition Text Source #

An identifier for a user pool. The user pool must be in the same region as the service that you are calling.

cognitoMemberDefinition_userGroup :: Lens' CognitoMemberDefinition Text Source #

An identifier for a user group.

cognitoMemberDefinition_clientId :: Lens' CognitoMemberDefinition Text Source #

An identifier for an application client. You must create the app client ID using Amazon Cognito.

CollectionConfiguration

data CollectionConfiguration Source #

Configuration information for the Amazon SageMaker Debugger output tensor collections.

See: newCollectionConfiguration smart constructor.

Constructors

CollectionConfiguration' 

Fields

  • collectionName :: Maybe Text

    The name of the tensor collection. The name must be unique relative to other rule configuration names.

  • collectionParameters :: Maybe (HashMap Text Text)

    Parameter values for the tensor collection. The allowed parameters are "name", "include_regex", "reduction_config", "save_config", "tensor_names", and "save_histogram".

Instances

Instances details
FromJSON CollectionConfiguration Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CollectionConfiguration

Methods

parseJSON :: Value -> Parser CollectionConfiguration #

parseJSONList :: Value -> Parser [CollectionConfiguration] #

ToJSON CollectionConfiguration Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CollectionConfiguration

Methods

toJSON :: CollectionConfiguration -> Value #

toEncoding :: CollectionConfiguration -> Encoding #

toJSONList :: [CollectionConfiguration] -> Value #

toEncodingList :: [CollectionConfiguration] -> Encoding #

Generic CollectionConfiguration Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CollectionConfiguration

Associated Types

type Rep CollectionConfiguration :: Type -> Type #

Methods

from :: CollectionConfiguration -> Rep CollectionConfiguration x #

to :: Rep CollectionConfiguration x -> CollectionConfiguration #

Read CollectionConfiguration Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CollectionConfiguration

Methods

readsPrec :: Int -> ReadS CollectionConfiguration #

readList :: ReadS [CollectionConfiguration] #

readPrec :: ReadPrec CollectionConfiguration #

readListPrec :: ReadPrec [CollectionConfiguration] #

Show CollectionConfiguration Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CollectionConfiguration

Methods

showsPrec :: Int -> CollectionConfiguration -> ShowS #

show :: CollectionConfiguration -> String #

showList :: [CollectionConfiguration] -> ShowS #

NFData CollectionConfiguration Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CollectionConfiguration

Methods

rnf :: CollectionConfiguration -> () #

Eq CollectionConfiguration Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CollectionConfiguration

Methods

(==) :: CollectionConfiguration -> CollectionConfiguration -> Bool #

(/=) :: CollectionConfiguration -> CollectionConfiguration -> Bool #

Hashable CollectionConfiguration Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CollectionConfiguration

Methods

hashWithSalt :: Int -> CollectionConfiguration -> Int #

hash :: CollectionConfiguration -> Int #

type Rep CollectionConfiguration Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CollectionConfiguration

type Rep CollectionConfiguration = D1 ('MetaData "CollectionConfiguration" "Amazonka.SageMaker.Types.CollectionConfiguration" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "CollectionConfiguration'" 'PrefixI 'True) (S1 ('MetaSel ('Just "collectionName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "collectionParameters") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe (HashMap Text Text)))))

newCollectionConfiguration :: CollectionConfiguration Source #

Create a value of CollectionConfiguration with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:collectionName:CollectionConfiguration', collectionConfiguration_collectionName - The name of the tensor collection. The name must be unique relative to other rule configuration names.

$sel:collectionParameters:CollectionConfiguration', collectionConfiguration_collectionParameters - Parameter values for the tensor collection. The allowed parameters are "name", "include_regex", "reduction_config", "save_config", "tensor_names", and "save_histogram".

collectionConfiguration_collectionName :: Lens' CollectionConfiguration (Maybe Text) Source #

The name of the tensor collection. The name must be unique relative to other rule configuration names.

collectionConfiguration_collectionParameters :: Lens' CollectionConfiguration (Maybe (HashMap Text Text)) Source #

Parameter values for the tensor collection. The allowed parameters are "name", "include_regex", "reduction_config", "save_config", "tensor_names", and "save_histogram".

CompilationJobSummary

data CompilationJobSummary Source #

A summary of a model compilation job.

See: newCompilationJobSummary smart constructor.

Constructors

CompilationJobSummary' 

Fields

Instances

Instances details
FromJSON CompilationJobSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CompilationJobSummary

Methods

parseJSON :: Value -> Parser CompilationJobSummary #

parseJSONList :: Value -> Parser [CompilationJobSummary] #

Generic CompilationJobSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CompilationJobSummary

Associated Types

type Rep CompilationJobSummary :: Type -> Type #

Methods

from :: CompilationJobSummary -> Rep CompilationJobSummary x #

to :: Rep CompilationJobSummary x -> CompilationJobSummary #

Read CompilationJobSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CompilationJobSummary

Methods

readsPrec :: Int -> ReadS CompilationJobSummary #

readList :: ReadS [CompilationJobSummary] #

readPrec :: ReadPrec CompilationJobSummary #

readListPrec :: ReadPrec [CompilationJobSummary] #

Show CompilationJobSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CompilationJobSummary

Methods

showsPrec :: Int -> CompilationJobSummary -> ShowS #

show :: CompilationJobSummary -> String #

showList :: [CompilationJobSummary] -> ShowS #

NFData CompilationJobSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CompilationJobSummary

Methods

rnf :: CompilationJobSummary -> () #

Eq CompilationJobSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CompilationJobSummary

Methods

(==) :: CompilationJobSummary -> CompilationJobSummary -> Bool #

(/=) :: CompilationJobSummary -> CompilationJobSummary -> Bool #

Hashable CompilationJobSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CompilationJobSummary

Methods

hashWithSalt :: Int -> CompilationJobSummary -> Int #

hash :: CompilationJobSummary -> Int #

type Rep CompilationJobSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CompilationJobSummary

type Rep CompilationJobSummary = D1 ('MetaData "CompilationJobSummary" "Amazonka.SageMaker.Types.CompilationJobSummary" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "CompilationJobSummary'" 'PrefixI 'True) (((S1 ('MetaSel ('Just "compilationEndTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :*: S1 ('MetaSel ('Just "compilationStartTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX))) :*: (S1 ('MetaSel ('Just "compilationTargetDevice") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe TargetDevice)) :*: (S1 ('MetaSel ('Just "compilationTargetPlatformAccelerator") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe TargetPlatformAccelerator)) :*: S1 ('MetaSel ('Just "compilationTargetPlatformArch") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe TargetPlatformArch))))) :*: ((S1 ('MetaSel ('Just "compilationTargetPlatformOs") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe TargetPlatformOs)) :*: (S1 ('MetaSel ('Just "lastModifiedTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :*: S1 ('MetaSel ('Just "compilationJobName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text))) :*: (S1 ('MetaSel ('Just "compilationJobArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: (S1 ('MetaSel ('Just "creationTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 POSIX) :*: S1 ('MetaSel ('Just "compilationJobStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 CompilationJobStatus))))))

newCompilationJobSummary Source #

Arguments

:: Text

$sel:compilationJobName:CompilationJobSummary'

-> Text

$sel:compilationJobArn:CompilationJobSummary'

-> UTCTime

$sel:creationTime:CompilationJobSummary'

-> CompilationJobStatus

$sel:compilationJobStatus:CompilationJobSummary'

-> CompilationJobSummary 

Create a value of CompilationJobSummary with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:compilationEndTime:CompilationJobSummary', compilationJobSummary_compilationEndTime - The time when the model compilation job completed.

$sel:compilationStartTime:CompilationJobSummary', compilationJobSummary_compilationStartTime - The time when the model compilation job started.

$sel:compilationTargetDevice:CompilationJobSummary', compilationJobSummary_compilationTargetDevice - The type of device that the model will run on after the compilation job has completed.

$sel:compilationTargetPlatformAccelerator:CompilationJobSummary', compilationJobSummary_compilationTargetPlatformAccelerator - The type of accelerator that the model will run on after the compilation job has completed.

$sel:compilationTargetPlatformArch:CompilationJobSummary', compilationJobSummary_compilationTargetPlatformArch - The type of architecture that the model will run on after the compilation job has completed.

$sel:compilationTargetPlatformOs:CompilationJobSummary', compilationJobSummary_compilationTargetPlatformOs - The type of OS that the model will run on after the compilation job has completed.

$sel:lastModifiedTime:CompilationJobSummary', compilationJobSummary_lastModifiedTime - The time when the model compilation job was last modified.

$sel:compilationJobName:CompilationJobSummary', compilationJobSummary_compilationJobName - The name of the model compilation job that you want a summary for.

$sel:compilationJobArn:CompilationJobSummary', compilationJobSummary_compilationJobArn - The Amazon Resource Name (ARN) of the model compilation job.

$sel:creationTime:CompilationJobSummary', compilationJobSummary_creationTime - The time when the model compilation job was created.

$sel:compilationJobStatus:CompilationJobSummary', compilationJobSummary_compilationJobStatus - The status of the model compilation job.

compilationJobSummary_compilationEndTime :: Lens' CompilationJobSummary (Maybe UTCTime) Source #

The time when the model compilation job completed.

compilationJobSummary_compilationStartTime :: Lens' CompilationJobSummary (Maybe UTCTime) Source #

The time when the model compilation job started.

compilationJobSummary_compilationTargetDevice :: Lens' CompilationJobSummary (Maybe TargetDevice) Source #

The type of device that the model will run on after the compilation job has completed.

compilationJobSummary_compilationTargetPlatformAccelerator :: Lens' CompilationJobSummary (Maybe TargetPlatformAccelerator) Source #

The type of accelerator that the model will run on after the compilation job has completed.

compilationJobSummary_compilationTargetPlatformArch :: Lens' CompilationJobSummary (Maybe TargetPlatformArch) Source #

The type of architecture that the model will run on after the compilation job has completed.

compilationJobSummary_compilationTargetPlatformOs :: Lens' CompilationJobSummary (Maybe TargetPlatformOs) Source #

The type of OS that the model will run on after the compilation job has completed.

compilationJobSummary_lastModifiedTime :: Lens' CompilationJobSummary (Maybe UTCTime) Source #

The time when the model compilation job was last modified.

compilationJobSummary_compilationJobName :: Lens' CompilationJobSummary Text Source #

The name of the model compilation job that you want a summary for.

compilationJobSummary_compilationJobArn :: Lens' CompilationJobSummary Text Source #

The Amazon Resource Name (ARN) of the model compilation job.

compilationJobSummary_creationTime :: Lens' CompilationJobSummary UTCTime Source #

The time when the model compilation job was created.

compilationJobSummary_compilationJobStatus :: Lens' CompilationJobSummary CompilationJobStatus Source #

The status of the model compilation job.

ConditionStepMetadata

data ConditionStepMetadata Source #

Metadata for a Condition step.

See: newConditionStepMetadata smart constructor.

Constructors

ConditionStepMetadata' 

Fields

Instances

Instances details
FromJSON ConditionStepMetadata Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ConditionStepMetadata

Methods

parseJSON :: Value -> Parser ConditionStepMetadata #

parseJSONList :: Value -> Parser [ConditionStepMetadata] #

Generic ConditionStepMetadata Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ConditionStepMetadata

Associated Types

type Rep ConditionStepMetadata :: Type -> Type #

Methods

from :: ConditionStepMetadata -> Rep ConditionStepMetadata x #

to :: Rep ConditionStepMetadata x -> ConditionStepMetadata #

Read ConditionStepMetadata Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ConditionStepMetadata

Methods

readsPrec :: Int -> ReadS ConditionStepMetadata #

readList :: ReadS [ConditionStepMetadata] #

readPrec :: ReadPrec ConditionStepMetadata #

readListPrec :: ReadPrec [ConditionStepMetadata] #

Show ConditionStepMetadata Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ConditionStepMetadata

Methods

showsPrec :: Int -> ConditionStepMetadata -> ShowS #

show :: ConditionStepMetadata -> String #

showList :: [ConditionStepMetadata] -> ShowS #

NFData ConditionStepMetadata Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ConditionStepMetadata

Methods

rnf :: ConditionStepMetadata -> () #

Eq ConditionStepMetadata Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ConditionStepMetadata

Methods

(==) :: ConditionStepMetadata -> ConditionStepMetadata -> Bool #

(/=) :: ConditionStepMetadata -> ConditionStepMetadata -> Bool #

Hashable ConditionStepMetadata Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ConditionStepMetadata

Methods

hashWithSalt :: Int -> ConditionStepMetadata -> Int #

hash :: ConditionStepMetadata -> Int #

type Rep ConditionStepMetadata Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ConditionStepMetadata

type Rep ConditionStepMetadata = D1 ('MetaData "ConditionStepMetadata" "Amazonka.SageMaker.Types.ConditionStepMetadata" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "ConditionStepMetadata'" 'PrefixI 'True) (S1 ('MetaSel ('Just "outcome") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ConditionOutcome))))

newConditionStepMetadata :: ConditionStepMetadata Source #

Create a value of ConditionStepMetadata with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:outcome:ConditionStepMetadata', conditionStepMetadata_outcome - The outcome of the Condition step evaluation.

conditionStepMetadata_outcome :: Lens' ConditionStepMetadata (Maybe ConditionOutcome) Source #

The outcome of the Condition step evaluation.

ContainerDefinition

data ContainerDefinition Source #

Describes the container, as part of model definition.

See: newContainerDefinition smart constructor.

Constructors

ContainerDefinition' 

Fields

  • containerHostname :: Maybe Text

    This parameter is ignored for models that contain only a PrimaryContainer.

    When a ContainerDefinition is part of an inference pipeline, the value of the parameter uniquely identifies the container for the purposes of logging and metrics. For information, see Use Logs and Metrics to Monitor an Inference Pipeline. If you don't specify a value for this parameter for a ContainerDefinition that is part of an inference pipeline, a unique name is automatically assigned based on the position of the ContainerDefinition in the pipeline. If you specify a value for the ContainerHostName for any ContainerDefinition that is part of an inference pipeline, you must specify a value for the ContainerHostName parameter of every ContainerDefinition in that pipeline.

  • environment :: Maybe (HashMap Text Text)

    The environment variables to set in the Docker container. Each key and value in the Environment string to string map can have length of up to 1024. We support up to 16 entries in the map.

  • image :: Maybe Text

    The path where inference code is stored. This can be either in Amazon EC2 Container Registry or in a Docker registry that is accessible from the same VPC that you configure for your endpoint. If you are using your own custom algorithm instead of an algorithm provided by SageMaker, the inference code must meet SageMaker requirements. SageMaker supports both registry/repository[:tag] and registry/repository[@digest] image path formats. For more information, see Using Your Own Algorithms with Amazon SageMaker

  • imageConfig :: Maybe ImageConfig

    Specifies whether the model container is in Amazon ECR or a private Docker registry accessible from your Amazon Virtual Private Cloud (VPC). For information about storing containers in a private Docker registry, see Use a Private Docker Registry for Real-Time Inference Containers

  • inferenceSpecificationName :: Maybe Text

    The inference specification name in the model package version.

  • mode :: Maybe ContainerMode

    Whether the container hosts a single model or multiple models.

  • modelDataUrl :: Maybe Text

    The S3 path where the model artifacts, which result from model training, are stored. This path must point to a single gzip compressed tar archive (.tar.gz suffix). The S3 path is required for SageMaker built-in algorithms, but not if you use your own algorithms. For more information on built-in algorithms, see Common Parameters.

    The model artifacts must be in an S3 bucket that is in the same region as the model or endpoint you are creating.

    If you provide a value for this parameter, SageMaker uses Amazon Web Services Security Token Service to download model artifacts from the S3 path you provide. Amazon Web Services STS is activated in your IAM user account by default. If you previously deactivated Amazon Web Services STS for a region, you need to reactivate Amazon Web Services STS for that region. For more information, see Activating and Deactivating Amazon Web Services STS in an Amazon Web Services Region in the Amazon Web Services Identity and Access Management User Guide.

    If you use a built-in algorithm to create a model, SageMaker requires that you provide a S3 path to the model artifacts in ModelDataUrl.

  • modelPackageName :: Maybe Text

    The name or Amazon Resource Name (ARN) of the model package to use to create the model.

  • multiModelConfig :: Maybe MultiModelConfig

    Specifies additional configuration for multi-model endpoints.

Instances

Instances details
FromJSON ContainerDefinition Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ContainerDefinition

Methods

parseJSON :: Value -> Parser ContainerDefinition #

parseJSONList :: Value -> Parser [ContainerDefinition] #

ToJSON ContainerDefinition Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ContainerDefinition

Methods

toJSON :: ContainerDefinition -> Value #

toEncoding :: ContainerDefinition -> Encoding #

toJSONList :: [ContainerDefinition] -> Value #

toEncodingList :: [ContainerDefinition] -> Encoding #

Generic ContainerDefinition Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ContainerDefinition

Associated Types

type Rep ContainerDefinition :: Type -> Type #

Methods

from :: ContainerDefinition -> Rep ContainerDefinition x #

to :: Rep ContainerDefinition x -> ContainerDefinition #

Read ContainerDefinition Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ContainerDefinition

Methods

readsPrec :: Int -> ReadS ContainerDefinition #

readList :: ReadS [ContainerDefinition] #

readPrec :: ReadPrec ContainerDefinition #

readListPrec :: ReadPrec [ContainerDefinition] #

Show ContainerDefinition Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ContainerDefinition

Methods

showsPrec :: Int -> ContainerDefinition -> ShowS #

show :: ContainerDefinition -> String #

showList :: [ContainerDefinition] -> ShowS #

NFData ContainerDefinition Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ContainerDefinition

Methods

rnf :: ContainerDefinition -> () #

Eq ContainerDefinition Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ContainerDefinition

Methods

(==) :: ContainerDefinition -> ContainerDefinition -> Bool #

(/=) :: ContainerDefinition -> ContainerDefinition -> Bool #

Hashable ContainerDefinition Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ContainerDefinition

Methods

hashWithSalt :: Int -> ContainerDefinition -> Int #

hash :: ContainerDefinition -> Int #

type Rep ContainerDefinition Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ContainerDefinition

type Rep ContainerDefinition = D1 ('MetaData "ContainerDefinition" "Amazonka.SageMaker.Types.ContainerDefinition" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "ContainerDefinition'" 'PrefixI 'True) (((S1 ('MetaSel ('Just "containerHostname") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "environment") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe (HashMap Text Text)))) :*: (S1 ('MetaSel ('Just "image") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "imageConfig") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ImageConfig)))) :*: ((S1 ('MetaSel ('Just "inferenceSpecificationName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "mode") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ContainerMode))) :*: (S1 ('MetaSel ('Just "modelDataUrl") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: (S1 ('MetaSel ('Just "modelPackageName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "multiModelConfig") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe MultiModelConfig)))))))

newContainerDefinition :: ContainerDefinition Source #

Create a value of ContainerDefinition with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:containerHostname:ContainerDefinition', containerDefinition_containerHostname - This parameter is ignored for models that contain only a PrimaryContainer.

When a ContainerDefinition is part of an inference pipeline, the value of the parameter uniquely identifies the container for the purposes of logging and metrics. For information, see Use Logs and Metrics to Monitor an Inference Pipeline. If you don't specify a value for this parameter for a ContainerDefinition that is part of an inference pipeline, a unique name is automatically assigned based on the position of the ContainerDefinition in the pipeline. If you specify a value for the ContainerHostName for any ContainerDefinition that is part of an inference pipeline, you must specify a value for the ContainerHostName parameter of every ContainerDefinition in that pipeline.

$sel:environment:ContainerDefinition', containerDefinition_environment - The environment variables to set in the Docker container. Each key and value in the Environment string to string map can have length of up to 1024. We support up to 16 entries in the map.

$sel:image:ContainerDefinition', containerDefinition_image - The path where inference code is stored. This can be either in Amazon EC2 Container Registry or in a Docker registry that is accessible from the same VPC that you configure for your endpoint. If you are using your own custom algorithm instead of an algorithm provided by SageMaker, the inference code must meet SageMaker requirements. SageMaker supports both registry/repository[:tag] and registry/repository[@digest] image path formats. For more information, see Using Your Own Algorithms with Amazon SageMaker

$sel:imageConfig:ContainerDefinition', containerDefinition_imageConfig - Specifies whether the model container is in Amazon ECR or a private Docker registry accessible from your Amazon Virtual Private Cloud (VPC). For information about storing containers in a private Docker registry, see Use a Private Docker Registry for Real-Time Inference Containers

$sel:inferenceSpecificationName:ContainerDefinition', containerDefinition_inferenceSpecificationName - The inference specification name in the model package version.

$sel:mode:ContainerDefinition', containerDefinition_mode - Whether the container hosts a single model or multiple models.

$sel:modelDataUrl:ContainerDefinition', containerDefinition_modelDataUrl - The S3 path where the model artifacts, which result from model training, are stored. This path must point to a single gzip compressed tar archive (.tar.gz suffix). The S3 path is required for SageMaker built-in algorithms, but not if you use your own algorithms. For more information on built-in algorithms, see Common Parameters.

The model artifacts must be in an S3 bucket that is in the same region as the model or endpoint you are creating.

If you provide a value for this parameter, SageMaker uses Amazon Web Services Security Token Service to download model artifacts from the S3 path you provide. Amazon Web Services STS is activated in your IAM user account by default. If you previously deactivated Amazon Web Services STS for a region, you need to reactivate Amazon Web Services STS for that region. For more information, see Activating and Deactivating Amazon Web Services STS in an Amazon Web Services Region in the Amazon Web Services Identity and Access Management User Guide.

If you use a built-in algorithm to create a model, SageMaker requires that you provide a S3 path to the model artifacts in ModelDataUrl.

$sel:modelPackageName:ContainerDefinition', containerDefinition_modelPackageName - The name or Amazon Resource Name (ARN) of the model package to use to create the model.

$sel:multiModelConfig:ContainerDefinition', containerDefinition_multiModelConfig - Specifies additional configuration for multi-model endpoints.

containerDefinition_containerHostname :: Lens' ContainerDefinition (Maybe Text) Source #

This parameter is ignored for models that contain only a PrimaryContainer.

When a ContainerDefinition is part of an inference pipeline, the value of the parameter uniquely identifies the container for the purposes of logging and metrics. For information, see Use Logs and Metrics to Monitor an Inference Pipeline. If you don't specify a value for this parameter for a ContainerDefinition that is part of an inference pipeline, a unique name is automatically assigned based on the position of the ContainerDefinition in the pipeline. If you specify a value for the ContainerHostName for any ContainerDefinition that is part of an inference pipeline, you must specify a value for the ContainerHostName parameter of every ContainerDefinition in that pipeline.

containerDefinition_environment :: Lens' ContainerDefinition (Maybe (HashMap Text Text)) Source #

The environment variables to set in the Docker container. Each key and value in the Environment string to string map can have length of up to 1024. We support up to 16 entries in the map.

containerDefinition_image :: Lens' ContainerDefinition (Maybe Text) Source #

The path where inference code is stored. This can be either in Amazon EC2 Container Registry or in a Docker registry that is accessible from the same VPC that you configure for your endpoint. If you are using your own custom algorithm instead of an algorithm provided by SageMaker, the inference code must meet SageMaker requirements. SageMaker supports both registry/repository[:tag] and registry/repository[@digest] image path formats. For more information, see Using Your Own Algorithms with Amazon SageMaker

containerDefinition_imageConfig :: Lens' ContainerDefinition (Maybe ImageConfig) Source #

Specifies whether the model container is in Amazon ECR or a private Docker registry accessible from your Amazon Virtual Private Cloud (VPC). For information about storing containers in a private Docker registry, see Use a Private Docker Registry for Real-Time Inference Containers

containerDefinition_inferenceSpecificationName :: Lens' ContainerDefinition (Maybe Text) Source #

The inference specification name in the model package version.

containerDefinition_mode :: Lens' ContainerDefinition (Maybe ContainerMode) Source #

Whether the container hosts a single model or multiple models.

containerDefinition_modelDataUrl :: Lens' ContainerDefinition (Maybe Text) Source #

The S3 path where the model artifacts, which result from model training, are stored. This path must point to a single gzip compressed tar archive (.tar.gz suffix). The S3 path is required for SageMaker built-in algorithms, but not if you use your own algorithms. For more information on built-in algorithms, see Common Parameters.

The model artifacts must be in an S3 bucket that is in the same region as the model or endpoint you are creating.

If you provide a value for this parameter, SageMaker uses Amazon Web Services Security Token Service to download model artifacts from the S3 path you provide. Amazon Web Services STS is activated in your IAM user account by default. If you previously deactivated Amazon Web Services STS for a region, you need to reactivate Amazon Web Services STS for that region. For more information, see Activating and Deactivating Amazon Web Services STS in an Amazon Web Services Region in the Amazon Web Services Identity and Access Management User Guide.

If you use a built-in algorithm to create a model, SageMaker requires that you provide a S3 path to the model artifacts in ModelDataUrl.

containerDefinition_modelPackageName :: Lens' ContainerDefinition (Maybe Text) Source #

The name or Amazon Resource Name (ARN) of the model package to use to create the model.

containerDefinition_multiModelConfig :: Lens' ContainerDefinition (Maybe MultiModelConfig) Source #

Specifies additional configuration for multi-model endpoints.

ContextSource

data ContextSource Source #

A structure describing the source of a context.

See: newContextSource smart constructor.

Constructors

ContextSource' 

Fields

Instances

Instances details
FromJSON ContextSource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ContextSource

Methods

parseJSON :: Value -> Parser ContextSource #

parseJSONList :: Value -> Parser [ContextSource] #

ToJSON ContextSource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ContextSource

Methods

toJSON :: ContextSource -> Value #

toEncoding :: ContextSource -> Encoding #

toJSONList :: [ContextSource] -> Value #

toEncodingList :: [ContextSource] -> Encoding #

Generic ContextSource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ContextSource

Associated Types

type Rep ContextSource :: Type -> Type #

Methods

from :: ContextSource -> Rep ContextSource x #

to :: Rep ContextSource x -> ContextSource #

Read ContextSource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ContextSource

Methods

readsPrec :: Int -> ReadS ContextSource #

readList :: ReadS [ContextSource] #

readPrec :: ReadPrec ContextSource #

readListPrec :: ReadPrec [ContextSource] #

Show ContextSource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ContextSource

Methods

showsPrec :: Int -> ContextSource -> ShowS #

show :: ContextSource -> String #

showList :: [ContextSource] -> ShowS #

NFData ContextSource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ContextSource

Methods

rnf :: ContextSource -> () #

Eq ContextSource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ContextSource

Methods

(==) :: ContextSource -> ContextSource -> Bool #

(/=) :: ContextSource -> ContextSource -> Bool #

Hashable ContextSource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ContextSource

Methods

hashWithSalt :: Int -> ContextSource -> Int #

hash :: ContextSource -> Int #

type Rep ContextSource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ContextSource

type Rep ContextSource = D1 ('MetaData "ContextSource" "Amazonka.SageMaker.Types.ContextSource" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "ContextSource'" 'PrefixI 'True) (S1 ('MetaSel ('Just "sourceId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: (S1 ('MetaSel ('Just "sourceType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "sourceUri") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text))))

newContextSource Source #

Arguments

:: Text

$sel:sourceUri:ContextSource'

-> ContextSource 

Create a value of ContextSource with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:sourceId:ContextSource', contextSource_sourceId - The ID of the source.

$sel:sourceType:ContextSource', contextSource_sourceType - The type of the source.

$sel:sourceUri:ContextSource', contextSource_sourceUri - The URI of the source.

contextSource_sourceId :: Lens' ContextSource (Maybe Text) Source #

The ID of the source.

contextSource_sourceType :: Lens' ContextSource (Maybe Text) Source #

The type of the source.

contextSource_sourceUri :: Lens' ContextSource Text Source #

The URI of the source.

ContextSummary

data ContextSummary Source #

Lists a summary of the properties of a context. A context provides a logical grouping of other entities.

See: newContextSummary smart constructor.

Constructors

ContextSummary' 

Fields

Instances

Instances details
FromJSON ContextSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ContextSummary

Methods

parseJSON :: Value -> Parser ContextSummary #

parseJSONList :: Value -> Parser [ContextSummary] #

Generic ContextSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ContextSummary

Associated Types

type Rep ContextSummary :: Type -> Type #

Methods

from :: ContextSummary -> Rep ContextSummary x #

to :: Rep ContextSummary x -> ContextSummary #

Read ContextSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ContextSummary

Methods

readsPrec :: Int -> ReadS ContextSummary #

readList :: ReadS [ContextSummary] #

readPrec :: ReadPrec ContextSummary #

readListPrec :: ReadPrec [ContextSummary] #

Show ContextSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ContextSummary

Methods

showsPrec :: Int -> ContextSummary -> ShowS #

show :: ContextSummary -> String #

showList :: [ContextSummary] -> ShowS #

NFData ContextSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ContextSummary

Methods

rnf :: ContextSummary -> () #

Eq ContextSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ContextSummary

Methods

(==) :: ContextSummary -> ContextSummary -> Bool #

(/=) :: ContextSummary -> ContextSummary -> Bool #

Hashable ContextSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ContextSummary

Methods

hashWithSalt :: Int -> ContextSummary -> Int #

hash :: ContextSummary -> Int #

type Rep ContextSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ContextSummary

type Rep ContextSummary = D1 ('MetaData "ContextSummary" "Amazonka.SageMaker.Types.ContextSummary" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "ContextSummary'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "contextArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: (S1 ('MetaSel ('Just "contextName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "contextType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))) :*: (S1 ('MetaSel ('Just "creationTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :*: (S1 ('MetaSel ('Just "lastModifiedTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :*: S1 ('MetaSel ('Just "source") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ContextSource))))))

newContextSummary :: ContextSummary Source #

Create a value of ContextSummary with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:contextArn:ContextSummary', contextSummary_contextArn - The Amazon Resource Name (ARN) of the context.

$sel:contextName:ContextSummary', contextSummary_contextName - The name of the context.

$sel:contextType:ContextSummary', contextSummary_contextType - The type of the context.

$sel:creationTime:ContextSummary', contextSummary_creationTime - When the context was created.

$sel:lastModifiedTime:ContextSummary', contextSummary_lastModifiedTime - When the context was last modified.

$sel:source:ContextSummary', contextSummary_source - The source of the context.

contextSummary_contextArn :: Lens' ContextSummary (Maybe Text) Source #

The Amazon Resource Name (ARN) of the context.

contextSummary_contextName :: Lens' ContextSummary (Maybe Text) Source #

The name of the context.

contextSummary_contextType :: Lens' ContextSummary (Maybe Text) Source #

The type of the context.

contextSummary_creationTime :: Lens' ContextSummary (Maybe UTCTime) Source #

When the context was created.

contextSummary_lastModifiedTime :: Lens' ContextSummary (Maybe UTCTime) Source #

When the context was last modified.

contextSummary_source :: Lens' ContextSummary (Maybe ContextSource) Source #

The source of the context.

ContinuousParameterRange

data ContinuousParameterRange Source #

A list of continuous hyperparameters to tune.

See: newContinuousParameterRange smart constructor.

Constructors

ContinuousParameterRange' 

Fields

  • scalingType :: Maybe HyperParameterScalingType

    The scale that hyperparameter tuning uses to search the hyperparameter range. For information about choosing a hyperparameter scale, see Hyperparameter Scaling. One of the following values:

    Auto
    SageMaker hyperparameter tuning chooses the best scale for the hyperparameter.
    Linear
    Hyperparameter tuning searches the values in the hyperparameter range by using a linear scale.
    Logarithmic
    Hyperparameter tuning searches the values in the hyperparameter range by using a logarithmic scale.

    Logarithmic scaling works only for ranges that have only values greater than 0.

    ReverseLogarithmic
    Hyperparameter tuning searches the values in the hyperparameter range by using a reverse logarithmic scale.

    Reverse logarithmic scaling works only for ranges that are entirely within the range 0<=x<1.0.

  • name :: Text

    The name of the continuous hyperparameter to tune.

  • minValue :: Text

    The minimum value for the hyperparameter. The tuning job uses floating-point values between this value and MaxValuefor tuning.

  • maxValue :: Text

    The maximum value for the hyperparameter. The tuning job uses floating-point values between MinValue value and this value for tuning.

Instances

Instances details
FromJSON ContinuousParameterRange Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ContinuousParameterRange

Methods

parseJSON :: Value -> Parser ContinuousParameterRange #

parseJSONList :: Value -> Parser [ContinuousParameterRange] #

ToJSON ContinuousParameterRange Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ContinuousParameterRange

Methods

toJSON :: ContinuousParameterRange -> Value #

toEncoding :: ContinuousParameterRange -> Encoding #

toJSONList :: [ContinuousParameterRange] -> Value #

toEncodingList :: [ContinuousParameterRange] -> Encoding #

Generic ContinuousParameterRange Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ContinuousParameterRange

Associated Types

type Rep ContinuousParameterRange :: Type -> Type #

Methods

from :: ContinuousParameterRange -> Rep ContinuousParameterRange x #

to :: Rep ContinuousParameterRange x -> ContinuousParameterRange #

Read ContinuousParameterRange Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ContinuousParameterRange

Methods

readsPrec :: Int -> ReadS ContinuousParameterRange #

readList :: ReadS [ContinuousParameterRange] #

readPrec :: ReadPrec ContinuousParameterRange #

readListPrec :: ReadPrec [ContinuousParameterRange] #

Show ContinuousParameterRange Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ContinuousParameterRange

Methods

showsPrec :: Int -> ContinuousParameterRange -> ShowS #

show :: ContinuousParameterRange -> String #

showList :: [ContinuousParameterRange] -> ShowS #

NFData ContinuousParameterRange Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ContinuousParameterRange

Methods

rnf :: ContinuousParameterRange -> () #

Eq ContinuousParameterRange Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ContinuousParameterRange

Methods

(==) :: ContinuousParameterRange -> ContinuousParameterRange -> Bool #

(/=) :: ContinuousParameterRange -> ContinuousParameterRange -> Bool #

Hashable ContinuousParameterRange Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ContinuousParameterRange

Methods

hashWithSalt :: Int -> ContinuousParameterRange -> Int #

hash :: ContinuousParameterRange -> Int #

type Rep ContinuousParameterRange Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ContinuousParameterRange

type Rep ContinuousParameterRange = D1 ('MetaData "ContinuousParameterRange" "Amazonka.SageMaker.Types.ContinuousParameterRange" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "ContinuousParameterRange'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "scalingType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe HyperParameterScalingType)) :*: S1 ('MetaSel ('Just "name") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)) :*: (S1 ('MetaSel ('Just "minValue") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: S1 ('MetaSel ('Just "maxValue") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text))))

newContinuousParameterRange Source #

Arguments

:: Text

$sel:name:ContinuousParameterRange'

-> Text

$sel:minValue:ContinuousParameterRange'

-> Text

$sel:maxValue:ContinuousParameterRange'

-> ContinuousParameterRange 

Create a value of ContinuousParameterRange with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:scalingType:ContinuousParameterRange', continuousParameterRange_scalingType - The scale that hyperparameter tuning uses to search the hyperparameter range. For information about choosing a hyperparameter scale, see Hyperparameter Scaling. One of the following values:

Auto
SageMaker hyperparameter tuning chooses the best scale for the hyperparameter.
Linear
Hyperparameter tuning searches the values in the hyperparameter range by using a linear scale.
Logarithmic
Hyperparameter tuning searches the values in the hyperparameter range by using a logarithmic scale.

Logarithmic scaling works only for ranges that have only values greater than 0.

ReverseLogarithmic
Hyperparameter tuning searches the values in the hyperparameter range by using a reverse logarithmic scale.

Reverse logarithmic scaling works only for ranges that are entirely within the range 0<=x<1.0.

$sel:name:ContinuousParameterRange', continuousParameterRange_name - The name of the continuous hyperparameter to tune.

$sel:minValue:ContinuousParameterRange', continuousParameterRange_minValue - The minimum value for the hyperparameter. The tuning job uses floating-point values between this value and MaxValuefor tuning.

$sel:maxValue:ContinuousParameterRange', continuousParameterRange_maxValue - The maximum value for the hyperparameter. The tuning job uses floating-point values between MinValue value and this value for tuning.

continuousParameterRange_scalingType :: Lens' ContinuousParameterRange (Maybe HyperParameterScalingType) Source #

The scale that hyperparameter tuning uses to search the hyperparameter range. For information about choosing a hyperparameter scale, see Hyperparameter Scaling. One of the following values:

Auto
SageMaker hyperparameter tuning chooses the best scale for the hyperparameter.
Linear
Hyperparameter tuning searches the values in the hyperparameter range by using a linear scale.
Logarithmic
Hyperparameter tuning searches the values in the hyperparameter range by using a logarithmic scale.

Logarithmic scaling works only for ranges that have only values greater than 0.

ReverseLogarithmic
Hyperparameter tuning searches the values in the hyperparameter range by using a reverse logarithmic scale.

Reverse logarithmic scaling works only for ranges that are entirely within the range 0<=x<1.0.

continuousParameterRange_name :: Lens' ContinuousParameterRange Text Source #

The name of the continuous hyperparameter to tune.

continuousParameterRange_minValue :: Lens' ContinuousParameterRange Text Source #

The minimum value for the hyperparameter. The tuning job uses floating-point values between this value and MaxValuefor tuning.

continuousParameterRange_maxValue :: Lens' ContinuousParameterRange Text Source #

The maximum value for the hyperparameter. The tuning job uses floating-point values between MinValue value and this value for tuning.

ContinuousParameterRangeSpecification

data ContinuousParameterRangeSpecification Source #

Defines the possible values for a continuous hyperparameter.

See: newContinuousParameterRangeSpecification smart constructor.

Constructors

ContinuousParameterRangeSpecification' 

Fields

Instances

Instances details
FromJSON ContinuousParameterRangeSpecification Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ContinuousParameterRangeSpecification

Methods

parseJSON :: Value -> Parser ContinuousParameterRangeSpecification #

parseJSONList :: Value -> Parser [ContinuousParameterRangeSpecification] #

ToJSON ContinuousParameterRangeSpecification Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ContinuousParameterRangeSpecification

Methods

toJSON :: ContinuousParameterRangeSpecification -> Value #

toEncoding :: ContinuousParameterRangeSpecification -> Encoding #

toJSONList :: [ContinuousParameterRangeSpecification] -> Value #

toEncodingList :: [ContinuousParameterRangeSpecification] -> Encoding #

Generic ContinuousParameterRangeSpecification Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ContinuousParameterRangeSpecification

Associated Types

type Rep ContinuousParameterRangeSpecification :: Type -> Type #

Methods

from :: ContinuousParameterRangeSpecification -> Rep ContinuousParameterRangeSpecification x #

to :: Rep ContinuousParameterRangeSpecification x -> ContinuousParameterRangeSpecification #

Read ContinuousParameterRangeSpecification Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ContinuousParameterRangeSpecification

Methods

readsPrec :: Int -> ReadS ContinuousParameterRangeSpecification #

readList :: ReadS [ContinuousParameterRangeSpecification] #

readPrec :: ReadPrec ContinuousParameterRangeSpecification #

readListPrec :: ReadPrec [ContinuousParameterRangeSpecification] #

Show ContinuousParameterRangeSpecification Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ContinuousParameterRangeSpecification

Methods

showsPrec :: Int -> ContinuousParameterRangeSpecification -> ShowS #

show :: ContinuousParameterRangeSpecification -> String #

showList :: [ContinuousParameterRangeSpecification] -> ShowS #

NFData ContinuousParameterRangeSpecification Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ContinuousParameterRangeSpecification

Methods

rnf :: ContinuousParameterRangeSpecification -> () #

Eq ContinuousParameterRangeSpecification Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ContinuousParameterRangeSpecification

Methods

(==) :: ContinuousParameterRangeSpecification -> ContinuousParameterRangeSpecification -> Bool #

(/=) :: ContinuousParameterRangeSpecification -> ContinuousParameterRangeSpecification -> Bool #

Hashable ContinuousParameterRangeSpecification Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ContinuousParameterRangeSpecification

Methods

hashWithSalt :: Int -> ContinuousParameterRangeSpecification -> Int #

hash :: ContinuousParameterRangeSpecification -> Int #

type Rep ContinuousParameterRangeSpecification Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ContinuousParameterRangeSpecification

type Rep ContinuousParameterRangeSpecification = D1 ('MetaData "ContinuousParameterRangeSpecification" "Amazonka.SageMaker.Types.ContinuousParameterRangeSpecification" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "ContinuousParameterRangeSpecification'" 'PrefixI 'True) (S1 ('MetaSel ('Just "minValue") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: S1 ('MetaSel ('Just "maxValue") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))

newContinuousParameterRangeSpecification Source #

Arguments

:: Text

$sel:minValue:ContinuousParameterRangeSpecification'

-> Text

$sel:maxValue:ContinuousParameterRangeSpecification'

-> ContinuousParameterRangeSpecification 

Create a value of ContinuousParameterRangeSpecification with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:minValue:ContinuousParameterRangeSpecification', continuousParameterRangeSpecification_minValue - The minimum floating-point value allowed.

$sel:maxValue:ContinuousParameterRangeSpecification', continuousParameterRangeSpecification_maxValue - The maximum floating-point value allowed.

continuousParameterRangeSpecification_minValue :: Lens' ContinuousParameterRangeSpecification Text Source #

The minimum floating-point value allowed.

continuousParameterRangeSpecification_maxValue :: Lens' ContinuousParameterRangeSpecification Text Source #

The maximum floating-point value allowed.

CustomImage

data CustomImage Source #

A custom SageMaker image. For more information, see Bring your own SageMaker image.

See: newCustomImage smart constructor.

Constructors

CustomImage' 

Fields

Instances

Instances details
FromJSON CustomImage Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CustomImage

Methods

parseJSON :: Value -> Parser CustomImage #

parseJSONList :: Value -> Parser [CustomImage] #

ToJSON CustomImage Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CustomImage

Methods

toJSON :: CustomImage -> Value #

toEncoding :: CustomImage -> Encoding #

toJSONList :: [CustomImage] -> Value #

toEncodingList :: [CustomImage] -> Encoding #

Generic CustomImage Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CustomImage

Associated Types

type Rep CustomImage :: Type -> Type #

Methods

from :: CustomImage -> Rep CustomImage x #

to :: Rep CustomImage x -> CustomImage #

Read CustomImage Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CustomImage

Methods

readsPrec :: Int -> ReadS CustomImage #

readList :: ReadS [CustomImage] #

readPrec :: ReadPrec CustomImage #

readListPrec :: ReadPrec [CustomImage] #

Show CustomImage Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CustomImage

Methods

showsPrec :: Int -> CustomImage -> ShowS #

show :: CustomImage -> String #

showList :: [CustomImage] -> ShowS #

NFData CustomImage Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CustomImage

Methods

rnf :: CustomImage -> () #

Eq CustomImage Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CustomImage

Methods

(==) :: CustomImage -> CustomImage -> Bool #

(/=) :: CustomImage -> CustomImage -> Bool #

Hashable CustomImage Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CustomImage

Methods

hashWithSalt :: Int -> CustomImage -> Int #

hash :: CustomImage -> Int #

type Rep CustomImage Source # 
Instance details

Defined in Amazonka.SageMaker.Types.CustomImage

type Rep CustomImage = D1 ('MetaData "CustomImage" "Amazonka.SageMaker.Types.CustomImage" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "CustomImage'" 'PrefixI 'True) (S1 ('MetaSel ('Just "imageVersionNumber") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural)) :*: (S1 ('MetaSel ('Just "imageName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: S1 ('MetaSel ('Just "appImageConfigName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text))))

newCustomImage Source #

Arguments

:: Text

$sel:imageName:CustomImage'

-> Text

$sel:appImageConfigName:CustomImage'

-> CustomImage 

Create a value of CustomImage with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:imageVersionNumber:CustomImage', customImage_imageVersionNumber - The version number of the CustomImage.

$sel:imageName:CustomImage', customImage_imageName - The name of the CustomImage. Must be unique to your account.

$sel:appImageConfigName:CustomImage', customImage_appImageConfigName - The name of the AppImageConfig.

customImage_imageVersionNumber :: Lens' CustomImage (Maybe Natural) Source #

The version number of the CustomImage.

customImage_imageName :: Lens' CustomImage Text Source #

The name of the CustomImage. Must be unique to your account.

customImage_appImageConfigName :: Lens' CustomImage Text Source #

The name of the AppImageConfig.

DataCaptureConfig

data DataCaptureConfig Source #

Configuration to control how SageMaker captures inference data.

See: newDataCaptureConfig smart constructor.

Constructors

DataCaptureConfig' 

Fields

  • captureContentTypeHeader :: Maybe CaptureContentTypeHeader

    Configuration specifying how to treat different headers. If no headers are specified SageMaker will by default base64 encode when capturing the data.

  • enableCapture :: Maybe Bool

    Whether data capture should be enabled or disabled (defaults to enabled).

  • kmsKeyId :: Maybe Text

    The Amazon Resource Name (ARN) of a Amazon Web Services Key Management Service key that SageMaker uses to encrypt the captured data at rest using Amazon S3 server-side encryption.

    The KmsKeyId can be any of the following formats:

    • Key ID: 1234abcd-12ab-34cd-56ef-1234567890ab
    • Key ARN: arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab
    • Alias name: alias/ExampleAlias
    • Alias name ARN: arn:aws:kms:us-west-2:111122223333:alias/ExampleAlias
  • initialSamplingPercentage :: Natural

    The percentage of requests SageMaker will capture. A lower value is recommended for Endpoints with high traffic.

  • destinationS3Uri :: Text

    The Amazon S3 location used to capture the data.

  • captureOptions :: NonEmpty CaptureOption

    Specifies data Model Monitor will capture. You can configure whether to collect only input, only output, or both

Instances

Instances details
FromJSON DataCaptureConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DataCaptureConfig

Methods

parseJSON :: Value -> Parser DataCaptureConfig #

parseJSONList :: Value -> Parser [DataCaptureConfig] #

ToJSON DataCaptureConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DataCaptureConfig

Methods

toJSON :: DataCaptureConfig -> Value #

toEncoding :: DataCaptureConfig -> Encoding #

toJSONList :: [DataCaptureConfig] -> Value #

toEncodingList :: [DataCaptureConfig] -> Encoding #

Generic DataCaptureConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DataCaptureConfig

Associated Types

type Rep DataCaptureConfig :: Type -> Type #

Methods

from :: DataCaptureConfig -> Rep DataCaptureConfig x #

to :: Rep DataCaptureConfig x -> DataCaptureConfig #

Read DataCaptureConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DataCaptureConfig

Methods

readsPrec :: Int -> ReadS DataCaptureConfig #

readList :: ReadS [DataCaptureConfig] #

readPrec :: ReadPrec DataCaptureConfig #

readListPrec :: ReadPrec [DataCaptureConfig] #

Show DataCaptureConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DataCaptureConfig

Methods

showsPrec :: Int -> DataCaptureConfig -> ShowS #

show :: DataCaptureConfig -> String #

showList :: [DataCaptureConfig] -> ShowS #

NFData DataCaptureConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DataCaptureConfig

Methods

rnf :: DataCaptureConfig -> () #

Eq DataCaptureConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DataCaptureConfig

Methods

(==) :: DataCaptureConfig -> DataCaptureConfig -> Bool #

(/=) :: DataCaptureConfig -> DataCaptureConfig -> Bool #

Hashable DataCaptureConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DataCaptureConfig

Methods

hashWithSalt :: Int -> DataCaptureConfig -> Int #

hash :: DataCaptureConfig -> Int #

type Rep DataCaptureConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DataCaptureConfig

type Rep DataCaptureConfig = D1 ('MetaData "DataCaptureConfig" "Amazonka.SageMaker.Types.DataCaptureConfig" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "DataCaptureConfig'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "captureContentTypeHeader") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe CaptureContentTypeHeader)) :*: (S1 ('MetaSel ('Just "enableCapture") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Bool)) :*: S1 ('MetaSel ('Just "kmsKeyId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))) :*: (S1 ('MetaSel ('Just "initialSamplingPercentage") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Natural) :*: (S1 ('MetaSel ('Just "destinationS3Uri") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: S1 ('MetaSel ('Just "captureOptions") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (NonEmpty CaptureOption))))))

newDataCaptureConfig Source #

Arguments

:: Natural

$sel:initialSamplingPercentage:DataCaptureConfig'

-> Text

$sel:destinationS3Uri:DataCaptureConfig'

-> NonEmpty CaptureOption

$sel:captureOptions:DataCaptureConfig'

-> DataCaptureConfig 

Create a value of DataCaptureConfig with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:captureContentTypeHeader:DataCaptureConfig', dataCaptureConfig_captureContentTypeHeader - Configuration specifying how to treat different headers. If no headers are specified SageMaker will by default base64 encode when capturing the data.

$sel:enableCapture:DataCaptureConfig', dataCaptureConfig_enableCapture - Whether data capture should be enabled or disabled (defaults to enabled).

$sel:kmsKeyId:DataCaptureConfig', dataCaptureConfig_kmsKeyId - The Amazon Resource Name (ARN) of a Amazon Web Services Key Management Service key that SageMaker uses to encrypt the captured data at rest using Amazon S3 server-side encryption.

The KmsKeyId can be any of the following formats:

  • Key ID: 1234abcd-12ab-34cd-56ef-1234567890ab
  • Key ARN: arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab
  • Alias name: alias/ExampleAlias
  • Alias name ARN: arn:aws:kms:us-west-2:111122223333:alias/ExampleAlias

$sel:initialSamplingPercentage:DataCaptureConfig', dataCaptureConfig_initialSamplingPercentage - The percentage of requests SageMaker will capture. A lower value is recommended for Endpoints with high traffic.

$sel:destinationS3Uri:DataCaptureConfig', dataCaptureConfig_destinationS3Uri - The Amazon S3 location used to capture the data.

$sel:captureOptions:DataCaptureConfig', dataCaptureConfig_captureOptions - Specifies data Model Monitor will capture. You can configure whether to collect only input, only output, or both

dataCaptureConfig_captureContentTypeHeader :: Lens' DataCaptureConfig (Maybe CaptureContentTypeHeader) Source #

Configuration specifying how to treat different headers. If no headers are specified SageMaker will by default base64 encode when capturing the data.

dataCaptureConfig_enableCapture :: Lens' DataCaptureConfig (Maybe Bool) Source #

Whether data capture should be enabled or disabled (defaults to enabled).

dataCaptureConfig_kmsKeyId :: Lens' DataCaptureConfig (Maybe Text) Source #

The Amazon Resource Name (ARN) of a Amazon Web Services Key Management Service key that SageMaker uses to encrypt the captured data at rest using Amazon S3 server-side encryption.

The KmsKeyId can be any of the following formats:

  • Key ID: 1234abcd-12ab-34cd-56ef-1234567890ab
  • Key ARN: arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab
  • Alias name: alias/ExampleAlias
  • Alias name ARN: arn:aws:kms:us-west-2:111122223333:alias/ExampleAlias

dataCaptureConfig_initialSamplingPercentage :: Lens' DataCaptureConfig Natural Source #

The percentage of requests SageMaker will capture. A lower value is recommended for Endpoints with high traffic.

dataCaptureConfig_destinationS3Uri :: Lens' DataCaptureConfig Text Source #

The Amazon S3 location used to capture the data.

dataCaptureConfig_captureOptions :: Lens' DataCaptureConfig (NonEmpty CaptureOption) Source #

Specifies data Model Monitor will capture. You can configure whether to collect only input, only output, or both

DataCaptureConfigSummary

data DataCaptureConfigSummary Source #

The currently active data capture configuration used by your Endpoint.

See: newDataCaptureConfigSummary smart constructor.

Constructors

DataCaptureConfigSummary' 

Fields

Instances

Instances details
FromJSON DataCaptureConfigSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DataCaptureConfigSummary

Methods

parseJSON :: Value -> Parser DataCaptureConfigSummary #

parseJSONList :: Value -> Parser [DataCaptureConfigSummary] #

Generic DataCaptureConfigSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DataCaptureConfigSummary

Associated Types

type Rep DataCaptureConfigSummary :: Type -> Type #

Methods

from :: DataCaptureConfigSummary -> Rep DataCaptureConfigSummary x #

to :: Rep DataCaptureConfigSummary x -> DataCaptureConfigSummary #

Read DataCaptureConfigSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DataCaptureConfigSummary

Methods

readsPrec :: Int -> ReadS DataCaptureConfigSummary #

readList :: ReadS [DataCaptureConfigSummary] #

readPrec :: ReadPrec DataCaptureConfigSummary #

readListPrec :: ReadPrec [DataCaptureConfigSummary] #

Show DataCaptureConfigSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DataCaptureConfigSummary

Methods

showsPrec :: Int -> DataCaptureConfigSummary -> ShowS #

show :: DataCaptureConfigSummary -> String #

showList :: [DataCaptureConfigSummary] -> ShowS #

NFData DataCaptureConfigSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DataCaptureConfigSummary

Methods

rnf :: DataCaptureConfigSummary -> () #

Eq DataCaptureConfigSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DataCaptureConfigSummary

Methods

(==) :: DataCaptureConfigSummary -> DataCaptureConfigSummary -> Bool #

(/=) :: DataCaptureConfigSummary -> DataCaptureConfigSummary -> Bool #

Hashable DataCaptureConfigSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DataCaptureConfigSummary

Methods

hashWithSalt :: Int -> DataCaptureConfigSummary -> Int #

hash :: DataCaptureConfigSummary -> Int #

type Rep DataCaptureConfigSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DataCaptureConfigSummary

type Rep DataCaptureConfigSummary = D1 ('MetaData "DataCaptureConfigSummary" "Amazonka.SageMaker.Types.DataCaptureConfigSummary" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "DataCaptureConfigSummary'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "enableCapture") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Bool) :*: S1 ('MetaSel ('Just "captureStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 CaptureStatus)) :*: (S1 ('MetaSel ('Just "currentSamplingPercentage") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Natural) :*: (S1 ('MetaSel ('Just "destinationS3Uri") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: S1 ('MetaSel ('Just "kmsKeyId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))))

newDataCaptureConfigSummary Source #

Arguments

:: Bool

$sel:enableCapture:DataCaptureConfigSummary'

-> CaptureStatus

$sel:captureStatus:DataCaptureConfigSummary'

-> Natural

$sel:currentSamplingPercentage:DataCaptureConfigSummary'

-> Text

$sel:destinationS3Uri:DataCaptureConfigSummary'

-> Text

$sel:kmsKeyId:DataCaptureConfigSummary'

-> DataCaptureConfigSummary 

Create a value of DataCaptureConfigSummary with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:enableCapture:DataCaptureConfigSummary', dataCaptureConfigSummary_enableCapture - Whether data capture is enabled or disabled.

$sel:captureStatus:DataCaptureConfigSummary', dataCaptureConfigSummary_captureStatus - Whether data capture is currently functional.

$sel:currentSamplingPercentage:DataCaptureConfigSummary', dataCaptureConfigSummary_currentSamplingPercentage - The percentage of requests being captured by your Endpoint.

$sel:destinationS3Uri:DataCaptureConfigSummary', dataCaptureConfigSummary_destinationS3Uri - The Amazon S3 location being used to capture the data.

$sel:kmsKeyId:DataCaptureConfigSummary', dataCaptureConfigSummary_kmsKeyId - The KMS key being used to encrypt the data in Amazon S3.

dataCaptureConfigSummary_enableCapture :: Lens' DataCaptureConfigSummary Bool Source #

Whether data capture is enabled or disabled.

dataCaptureConfigSummary_captureStatus :: Lens' DataCaptureConfigSummary CaptureStatus Source #

Whether data capture is currently functional.

dataCaptureConfigSummary_currentSamplingPercentage :: Lens' DataCaptureConfigSummary Natural Source #

The percentage of requests being captured by your Endpoint.

dataCaptureConfigSummary_destinationS3Uri :: Lens' DataCaptureConfigSummary Text Source #

The Amazon S3 location being used to capture the data.

dataCaptureConfigSummary_kmsKeyId :: Lens' DataCaptureConfigSummary Text Source #

The KMS key being used to encrypt the data in Amazon S3.

DataCatalogConfig

data DataCatalogConfig Source #

The meta data of the Glue table which serves as data catalog for the OfflineStore.

See: newDataCatalogConfig smart constructor.

Constructors

DataCatalogConfig' 

Fields

Instances

Instances details
FromJSON DataCatalogConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DataCatalogConfig

Methods

parseJSON :: Value -> Parser DataCatalogConfig #

parseJSONList :: Value -> Parser [DataCatalogConfig] #

ToJSON DataCatalogConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DataCatalogConfig

Methods

toJSON :: DataCatalogConfig -> Value #

toEncoding :: DataCatalogConfig -> Encoding #

toJSONList :: [DataCatalogConfig] -> Value #

toEncodingList :: [DataCatalogConfig] -> Encoding #

Generic DataCatalogConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DataCatalogConfig

Associated Types

type Rep DataCatalogConfig :: Type -> Type #

Methods

from :: DataCatalogConfig -> Rep DataCatalogConfig x #

to :: Rep DataCatalogConfig x -> DataCatalogConfig #

Read DataCatalogConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DataCatalogConfig

Methods

readsPrec :: Int -> ReadS DataCatalogConfig #

readList :: ReadS [DataCatalogConfig] #

readPrec :: ReadPrec DataCatalogConfig #

readListPrec :: ReadPrec [DataCatalogConfig] #

Show DataCatalogConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DataCatalogConfig

Methods

showsPrec :: Int -> DataCatalogConfig -> ShowS #

show :: DataCatalogConfig -> String #

showList :: [DataCatalogConfig] -> ShowS #

NFData DataCatalogConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DataCatalogConfig

Methods

rnf :: DataCatalogConfig -> () #

Eq DataCatalogConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DataCatalogConfig

Methods

(==) :: DataCatalogConfig -> DataCatalogConfig -> Bool #

(/=) :: DataCatalogConfig -> DataCatalogConfig -> Bool #

Hashable DataCatalogConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DataCatalogConfig

Methods

hashWithSalt :: Int -> DataCatalogConfig -> Int #

hash :: DataCatalogConfig -> Int #

type Rep DataCatalogConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DataCatalogConfig

type Rep DataCatalogConfig = D1 ('MetaData "DataCatalogConfig" "Amazonka.SageMaker.Types.DataCatalogConfig" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "DataCatalogConfig'" 'PrefixI 'True) (S1 ('MetaSel ('Just "tableName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: (S1 ('MetaSel ('Just "catalog") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: S1 ('MetaSel ('Just "database") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text))))

newDataCatalogConfig Source #

Arguments

:: Text

$sel:tableName:DataCatalogConfig'

-> Text

$sel:catalog:DataCatalogConfig'

-> Text

$sel:database:DataCatalogConfig'

-> DataCatalogConfig 

Create a value of DataCatalogConfig with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:tableName:DataCatalogConfig', dataCatalogConfig_tableName - The name of the Glue table.

$sel:catalog:DataCatalogConfig', dataCatalogConfig_catalog - The name of the Glue table catalog.

$sel:database:DataCatalogConfig', dataCatalogConfig_database - The name of the Glue table database.

dataCatalogConfig_tableName :: Lens' DataCatalogConfig Text Source #

The name of the Glue table.

dataCatalogConfig_catalog :: Lens' DataCatalogConfig Text Source #

The name of the Glue table catalog.

dataCatalogConfig_database :: Lens' DataCatalogConfig Text Source #

The name of the Glue table database.

DataProcessing

data DataProcessing Source #

The data structure used to specify the data to be used for inference in a batch transform job and to associate the data that is relevant to the prediction results in the output. The input filter provided allows you to exclude input data that is not needed for inference in a batch transform job. The output filter provided allows you to include input data relevant to interpreting the predictions in the output from the job. For more information, see Associate Prediction Results with their Corresponding Input Records.

See: newDataProcessing smart constructor.

Constructors

DataProcessing' 

Fields

  • inputFilter :: Maybe Text

    A JSONPath expression used to select a portion of the input data to pass to the algorithm. Use the InputFilter parameter to exclude fields, such as an ID column, from the input. If you want SageMaker to pass the entire input dataset to the algorithm, accept the default value $.

    Examples: "$", "$[1:]", "$.features"

  • joinSource :: Maybe JoinSource

    Specifies the source of the data to join with the transformed data. The valid values are None and Input. The default value is None, which specifies not to join the input with the transformed data. If you want the batch transform job to join the original input data with the transformed data, set JoinSource to Input. You can specify OutputFilter as an additional filter to select a portion of the joined dataset and store it in the output file.

    For JSON or JSONLines objects, such as a JSON array, SageMaker adds the transformed data to the input JSON object in an attribute called SageMakerOutput. The joined result for JSON must be a key-value pair object. If the input is not a key-value pair object, SageMaker creates a new JSON file. In the new JSON file, and the input data is stored under the SageMakerInput key and the results are stored in SageMakerOutput.

    For CSV data, SageMaker takes each row as a JSON array and joins the transformed data with the input by appending each transformed row to the end of the input. The joined data has the original input data followed by the transformed data and the output is a CSV file.

    For information on how joining in applied, see Workflow for Associating Inferences with Input Records.

  • outputFilter :: Maybe Text

    A JSONPath expression used to select a portion of the joined dataset to save in the output file for a batch transform job. If you want SageMaker to store the entire input dataset in the output file, leave the default value, $. If you specify indexes that aren't within the dimension size of the joined dataset, you get an error.

    Examples: "$", "$[0,5:]", "$['id','SageMakerOutput']"

Instances

Instances details
FromJSON DataProcessing Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DataProcessing

Methods

parseJSON :: Value -> Parser DataProcessing #

parseJSONList :: Value -> Parser [DataProcessing] #

ToJSON DataProcessing Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DataProcessing

Methods

toJSON :: DataProcessing -> Value #

toEncoding :: DataProcessing -> Encoding #

toJSONList :: [DataProcessing] -> Value #

toEncodingList :: [DataProcessing] -> Encoding #

Generic DataProcessing Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DataProcessing

Associated Types

type Rep DataProcessing :: Type -> Type #

Methods

from :: DataProcessing -> Rep DataProcessing x #

to :: Rep DataProcessing x -> DataProcessing #

Read DataProcessing Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DataProcessing

Methods

readsPrec :: Int -> ReadS DataProcessing #

readList :: ReadS [DataProcessing] #

readPrec :: ReadPrec DataProcessing #

readListPrec :: ReadPrec [DataProcessing] #

Show DataProcessing Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DataProcessing

Methods

showsPrec :: Int -> DataProcessing -> ShowS #

show :: DataProcessing -> String #

showList :: [DataProcessing] -> ShowS #

NFData DataProcessing Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DataProcessing

Methods

rnf :: DataProcessing -> () #

Eq DataProcessing Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DataProcessing

Methods

(==) :: DataProcessing -> DataProcessing -> Bool #

(/=) :: DataProcessing -> DataProcessing -> Bool #

Hashable DataProcessing Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DataProcessing

Methods

hashWithSalt :: Int -> DataProcessing -> Int #

hash :: DataProcessing -> Int #

type Rep DataProcessing Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DataProcessing

type Rep DataProcessing = D1 ('MetaData "DataProcessing" "Amazonka.SageMaker.Types.DataProcessing" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "DataProcessing'" 'PrefixI 'True) (S1 ('MetaSel ('Just "inputFilter") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: (S1 ('MetaSel ('Just "joinSource") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe JoinSource)) :*: S1 ('MetaSel ('Just "outputFilter") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))))

newDataProcessing :: DataProcessing Source #

Create a value of DataProcessing with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:inputFilter:DataProcessing', dataProcessing_inputFilter - A JSONPath expression used to select a portion of the input data to pass to the algorithm. Use the InputFilter parameter to exclude fields, such as an ID column, from the input. If you want SageMaker to pass the entire input dataset to the algorithm, accept the default value $.

Examples: "$", "$[1:]", "$.features"

$sel:joinSource:DataProcessing', dataProcessing_joinSource - Specifies the source of the data to join with the transformed data. The valid values are None and Input. The default value is None, which specifies not to join the input with the transformed data. If you want the batch transform job to join the original input data with the transformed data, set JoinSource to Input. You can specify OutputFilter as an additional filter to select a portion of the joined dataset and store it in the output file.

For JSON or JSONLines objects, such as a JSON array, SageMaker adds the transformed data to the input JSON object in an attribute called SageMakerOutput. The joined result for JSON must be a key-value pair object. If the input is not a key-value pair object, SageMaker creates a new JSON file. In the new JSON file, and the input data is stored under the SageMakerInput key and the results are stored in SageMakerOutput.

For CSV data, SageMaker takes each row as a JSON array and joins the transformed data with the input by appending each transformed row to the end of the input. The joined data has the original input data followed by the transformed data and the output is a CSV file.

For information on how joining in applied, see Workflow for Associating Inferences with Input Records.

$sel:outputFilter:DataProcessing', dataProcessing_outputFilter - A JSONPath expression used to select a portion of the joined dataset to save in the output file for a batch transform job. If you want SageMaker to store the entire input dataset in the output file, leave the default value, $. If you specify indexes that aren't within the dimension size of the joined dataset, you get an error.

Examples: "$", "$[0,5:]", "$['id','SageMakerOutput']"

dataProcessing_inputFilter :: Lens' DataProcessing (Maybe Text) Source #

A JSONPath expression used to select a portion of the input data to pass to the algorithm. Use the InputFilter parameter to exclude fields, such as an ID column, from the input. If you want SageMaker to pass the entire input dataset to the algorithm, accept the default value $.

Examples: "$", "$[1:]", "$.features"

dataProcessing_joinSource :: Lens' DataProcessing (Maybe JoinSource) Source #

Specifies the source of the data to join with the transformed data. The valid values are None and Input. The default value is None, which specifies not to join the input with the transformed data. If you want the batch transform job to join the original input data with the transformed data, set JoinSource to Input. You can specify OutputFilter as an additional filter to select a portion of the joined dataset and store it in the output file.

For JSON or JSONLines objects, such as a JSON array, SageMaker adds the transformed data to the input JSON object in an attribute called SageMakerOutput. The joined result for JSON must be a key-value pair object. If the input is not a key-value pair object, SageMaker creates a new JSON file. In the new JSON file, and the input data is stored under the SageMakerInput key and the results are stored in SageMakerOutput.

For CSV data, SageMaker takes each row as a JSON array and joins the transformed data with the input by appending each transformed row to the end of the input. The joined data has the original input data followed by the transformed data and the output is a CSV file.

For information on how joining in applied, see Workflow for Associating Inferences with Input Records.

dataProcessing_outputFilter :: Lens' DataProcessing (Maybe Text) Source #

A JSONPath expression used to select a portion of the joined dataset to save in the output file for a batch transform job. If you want SageMaker to store the entire input dataset in the output file, leave the default value, $. If you specify indexes that aren't within the dimension size of the joined dataset, you get an error.

Examples: "$", "$[0,5:]", "$['id','SageMakerOutput']"

DataQualityAppSpecification

data DataQualityAppSpecification Source #

Information about the container that a data quality monitoring job runs.

See: newDataQualityAppSpecification smart constructor.

Constructors

DataQualityAppSpecification' 

Fields

Instances

Instances details
FromJSON DataQualityAppSpecification Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DataQualityAppSpecification

Methods

parseJSON :: Value -> Parser DataQualityAppSpecification #

parseJSONList :: Value -> Parser [DataQualityAppSpecification] #

ToJSON DataQualityAppSpecification Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DataQualityAppSpecification

Methods

toJSON :: DataQualityAppSpecification -> Value #

toEncoding :: DataQualityAppSpecification -> Encoding #

toJSONList :: [DataQualityAppSpecification] -> Value #

toEncodingList :: [DataQualityAppSpecification] -> Encoding #

Generic DataQualityAppSpecification Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DataQualityAppSpecification

Associated Types

type Rep DataQualityAppSpecification :: Type -> Type #

Methods

from :: DataQualityAppSpecification -> Rep DataQualityAppSpecification x #

to :: Rep DataQualityAppSpecification x -> DataQualityAppSpecification #

Read DataQualityAppSpecification Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DataQualityAppSpecification

Methods

readsPrec :: Int -> ReadS DataQualityAppSpecification #

readList :: ReadS [DataQualityAppSpecification] #

readPrec :: ReadPrec DataQualityAppSpecification #

readListPrec :: ReadPrec [DataQualityAppSpecification] #

Show DataQualityAppSpecification Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DataQualityAppSpecification

Methods

showsPrec :: Int -> DataQualityAppSpecification -> ShowS #

show :: DataQualityAppSpecification -> String #

showList :: [DataQualityAppSpecification] -> ShowS #

NFData DataQualityAppSpecification Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DataQualityAppSpecification

Methods

rnf :: DataQualityAppSpecification -> () #

Eq DataQualityAppSpecification Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DataQualityAppSpecification

Methods

(==) :: DataQualityAppSpecification -> DataQualityAppSpecification -> Bool #

(/=) :: DataQualityAppSpecification -> DataQualityAppSpecification -> Bool #

Hashable DataQualityAppSpecification Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DataQualityAppSpecification

Methods

hashWithSalt :: Int -> DataQualityAppSpecification -> Int #

hash :: DataQualityAppSpecification -> Int #

type Rep DataQualityAppSpecification Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DataQualityAppSpecification

type Rep DataQualityAppSpecification = D1 ('MetaData "DataQualityAppSpecification" "Amazonka.SageMaker.Types.DataQualityAppSpecification" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "DataQualityAppSpecification'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "containerArguments") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe (NonEmpty Text))) :*: (S1 ('MetaSel ('Just "containerEntrypoint") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe (NonEmpty Text))) :*: S1 ('MetaSel ('Just "environment") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe (HashMap Text Text))))) :*: (S1 ('MetaSel ('Just "postAnalyticsProcessorSourceUri") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: (S1 ('MetaSel ('Just "recordPreprocessorSourceUri") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "imageUri") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))))

newDataQualityAppSpecification Source #

Arguments

:: Text

$sel:imageUri:DataQualityAppSpecification'

-> DataQualityAppSpecification 

Create a value of DataQualityAppSpecification with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:containerArguments:DataQualityAppSpecification', dataQualityAppSpecification_containerArguments - The arguments to send to the container that the monitoring job runs.

$sel:containerEntrypoint:DataQualityAppSpecification', dataQualityAppSpecification_containerEntrypoint - The entrypoint for a container used to run a monitoring job.

$sel:environment:DataQualityAppSpecification', dataQualityAppSpecification_environment - Sets the environment variables in the container that the monitoring job runs.

$sel:postAnalyticsProcessorSourceUri:DataQualityAppSpecification', dataQualityAppSpecification_postAnalyticsProcessorSourceUri - An Amazon S3 URI to a script that is called after analysis has been performed. Applicable only for the built-in (first party) containers.

$sel:recordPreprocessorSourceUri:DataQualityAppSpecification', dataQualityAppSpecification_recordPreprocessorSourceUri - An Amazon S3 URI to a script that is called per row prior to running analysis. It can base64 decode the payload and convert it into a flatted json so that the built-in container can use the converted data. Applicable only for the built-in (first party) containers.

$sel:imageUri:DataQualityAppSpecification', dataQualityAppSpecification_imageUri - The container image that the data quality monitoring job runs.

dataQualityAppSpecification_containerArguments :: Lens' DataQualityAppSpecification (Maybe (NonEmpty Text)) Source #

The arguments to send to the container that the monitoring job runs.

dataQualityAppSpecification_containerEntrypoint :: Lens' DataQualityAppSpecification (Maybe (NonEmpty Text)) Source #

The entrypoint for a container used to run a monitoring job.

dataQualityAppSpecification_environment :: Lens' DataQualityAppSpecification (Maybe (HashMap Text Text)) Source #

Sets the environment variables in the container that the monitoring job runs.

dataQualityAppSpecification_postAnalyticsProcessorSourceUri :: Lens' DataQualityAppSpecification (Maybe Text) Source #

An Amazon S3 URI to a script that is called after analysis has been performed. Applicable only for the built-in (first party) containers.

dataQualityAppSpecification_recordPreprocessorSourceUri :: Lens' DataQualityAppSpecification (Maybe Text) Source #

An Amazon S3 URI to a script that is called per row prior to running analysis. It can base64 decode the payload and convert it into a flatted json so that the built-in container can use the converted data. Applicable only for the built-in (first party) containers.

dataQualityAppSpecification_imageUri :: Lens' DataQualityAppSpecification Text Source #

The container image that the data quality monitoring job runs.

DataQualityBaselineConfig

data DataQualityBaselineConfig Source #

Configuration for monitoring constraints and monitoring statistics. These baseline resources are compared against the results of the current job from the series of jobs scheduled to collect data periodically.

See: newDataQualityBaselineConfig smart constructor.

Constructors

DataQualityBaselineConfig' 

Fields

Instances

Instances details
FromJSON DataQualityBaselineConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DataQualityBaselineConfig

Methods

parseJSON :: Value -> Parser DataQualityBaselineConfig #

parseJSONList :: Value -> Parser [DataQualityBaselineConfig] #

ToJSON DataQualityBaselineConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DataQualityBaselineConfig

Methods

toJSON :: DataQualityBaselineConfig -> Value #

toEncoding :: DataQualityBaselineConfig -> Encoding #

toJSONList :: [DataQualityBaselineConfig] -> Value #

toEncodingList :: [DataQualityBaselineConfig] -> Encoding #

Generic DataQualityBaselineConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DataQualityBaselineConfig

Associated Types

type Rep DataQualityBaselineConfig :: Type -> Type #

Methods

from :: DataQualityBaselineConfig -> Rep DataQualityBaselineConfig x #

to :: Rep DataQualityBaselineConfig x -> DataQualityBaselineConfig #

Read DataQualityBaselineConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DataQualityBaselineConfig

Methods

readsPrec :: Int -> ReadS DataQualityBaselineConfig #

readList :: ReadS [DataQualityBaselineConfig] #

readPrec :: ReadPrec DataQualityBaselineConfig #

readListPrec :: ReadPrec [DataQualityBaselineConfig] #

Show DataQualityBaselineConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DataQualityBaselineConfig

Methods

showsPrec :: Int -> DataQualityBaselineConfig -> ShowS #

show :: DataQualityBaselineConfig -> String #

showList :: [DataQualityBaselineConfig] -> ShowS #

NFData DataQualityBaselineConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DataQualityBaselineConfig

Methods

rnf :: DataQualityBaselineConfig -> () #

Eq DataQualityBaselineConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DataQualityBaselineConfig

Methods

(==) :: DataQualityBaselineConfig -> DataQualityBaselineConfig -> Bool #

(/=) :: DataQualityBaselineConfig -> DataQualityBaselineConfig -> Bool #

Hashable DataQualityBaselineConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DataQualityBaselineConfig

Methods

hashWithSalt :: Int -> DataQualityBaselineConfig -> Int #

hash :: DataQualityBaselineConfig -> Int #

type Rep DataQualityBaselineConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DataQualityBaselineConfig

type Rep DataQualityBaselineConfig = D1 ('MetaData "DataQualityBaselineConfig" "Amazonka.SageMaker.Types.DataQualityBaselineConfig" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "DataQualityBaselineConfig'" 'PrefixI 'True) (S1 ('MetaSel ('Just "baseliningJobName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: (S1 ('MetaSel ('Just "constraintsResource") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe MonitoringConstraintsResource)) :*: S1 ('MetaSel ('Just "statisticsResource") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe MonitoringStatisticsResource)))))

newDataQualityBaselineConfig :: DataQualityBaselineConfig Source #

Create a value of DataQualityBaselineConfig with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:baseliningJobName:DataQualityBaselineConfig', dataQualityBaselineConfig_baseliningJobName - The name of the job that performs baselining for the data quality monitoring job.

$sel:constraintsResource:DataQualityBaselineConfig', dataQualityBaselineConfig_constraintsResource - Undocumented member.

$sel:statisticsResource:DataQualityBaselineConfig', dataQualityBaselineConfig_statisticsResource - Undocumented member.

dataQualityBaselineConfig_baseliningJobName :: Lens' DataQualityBaselineConfig (Maybe Text) Source #

The name of the job that performs baselining for the data quality monitoring job.

dataQualityBaselineConfig_constraintsResource :: Lens' DataQualityBaselineConfig (Maybe MonitoringConstraintsResource) Source #

Undocumented member.

dataQualityBaselineConfig_statisticsResource :: Lens' DataQualityBaselineConfig (Maybe MonitoringStatisticsResource) Source #

Undocumented member.

DataQualityJobInput

data DataQualityJobInput Source #

The input for the data quality monitoring job. Currently endpoints are supported for input.

See: newDataQualityJobInput smart constructor.

Constructors

DataQualityJobInput' 

Fields

Instances

Instances details
FromJSON DataQualityJobInput Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DataQualityJobInput

Methods

parseJSON :: Value -> Parser DataQualityJobInput #

parseJSONList :: Value -> Parser [DataQualityJobInput] #

ToJSON DataQualityJobInput Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DataQualityJobInput

Methods

toJSON :: DataQualityJobInput -> Value #

toEncoding :: DataQualityJobInput -> Encoding #

toJSONList :: [DataQualityJobInput] -> Value #

toEncodingList :: [DataQualityJobInput] -> Encoding #

Generic DataQualityJobInput Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DataQualityJobInput

Associated Types

type Rep DataQualityJobInput :: Type -> Type #

Methods

from :: DataQualityJobInput -> Rep DataQualityJobInput x #

to :: Rep DataQualityJobInput x -> DataQualityJobInput #

Read DataQualityJobInput Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DataQualityJobInput

Methods

readsPrec :: Int -> ReadS DataQualityJobInput #

readList :: ReadS [DataQualityJobInput] #

readPrec :: ReadPrec DataQualityJobInput #

readListPrec :: ReadPrec [DataQualityJobInput] #

Show DataQualityJobInput Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DataQualityJobInput

Methods

showsPrec :: Int -> DataQualityJobInput -> ShowS #

show :: DataQualityJobInput -> String #

showList :: [DataQualityJobInput] -> ShowS #

NFData DataQualityJobInput Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DataQualityJobInput

Methods

rnf :: DataQualityJobInput -> () #

Eq DataQualityJobInput Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DataQualityJobInput

Methods

(==) :: DataQualityJobInput -> DataQualityJobInput -> Bool #

(/=) :: DataQualityJobInput -> DataQualityJobInput -> Bool #

Hashable DataQualityJobInput Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DataQualityJobInput

Methods

hashWithSalt :: Int -> DataQualityJobInput -> Int #

hash :: DataQualityJobInput -> Int #

type Rep DataQualityJobInput Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DataQualityJobInput

type Rep DataQualityJobInput = D1 ('MetaData "DataQualityJobInput" "Amazonka.SageMaker.Types.DataQualityJobInput" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "DataQualityJobInput'" 'PrefixI 'True) (S1 ('MetaSel ('Just "batchTransformInput") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe BatchTransformInput)) :*: S1 ('MetaSel ('Just "endpointInput") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe EndpointInput))))

newDataQualityJobInput :: DataQualityJobInput Source #

Create a value of DataQualityJobInput with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:batchTransformInput:DataQualityJobInput', dataQualityJobInput_batchTransformInput - Input object for the batch transform job.

$sel:endpointInput:DataQualityJobInput', dataQualityJobInput_endpointInput - Undocumented member.

dataQualityJobInput_batchTransformInput :: Lens' DataQualityJobInput (Maybe BatchTransformInput) Source #

Input object for the batch transform job.

dataQualityJobInput_endpointInput :: Lens' DataQualityJobInput (Maybe EndpointInput) Source #

Undocumented member.

DataSource

data DataSource Source #

Describes the location of the channel data.

See: newDataSource smart constructor.

Constructors

DataSource' 

Fields

Instances

Instances details
FromJSON DataSource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DataSource

Methods

parseJSON :: Value -> Parser DataSource #

parseJSONList :: Value -> Parser [DataSource] #

ToJSON DataSource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DataSource

Methods

toJSON :: DataSource -> Value #

toEncoding :: DataSource -> Encoding #

toJSONList :: [DataSource] -> Value #

toEncodingList :: [DataSource] -> Encoding #

Generic DataSource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DataSource

Associated Types

type Rep DataSource :: Type -> Type #

Methods

from :: DataSource -> Rep DataSource x #

to :: Rep DataSource x -> DataSource #

Read DataSource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DataSource

Methods

readsPrec :: Int -> ReadS DataSource #

readList :: ReadS [DataSource] #

readPrec :: ReadPrec DataSource #

readListPrec :: ReadPrec [DataSource] #

Show DataSource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DataSource

Methods

showsPrec :: Int -> DataSource -> ShowS #

show :: DataSource -> String #

showList :: [DataSource] -> ShowS #

NFData DataSource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DataSource

Methods

rnf :: DataSource -> () #

Eq DataSource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DataSource

Methods

(==) :: DataSource -> DataSource -> Bool #

(/=) :: DataSource -> DataSource -> Bool #

Hashable DataSource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DataSource

Methods

hashWithSalt :: Int -> DataSource -> Int #

hash :: DataSource -> Int #

type Rep DataSource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DataSource

type Rep DataSource = D1 ('MetaData "DataSource" "Amazonka.SageMaker.Types.DataSource" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "DataSource'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fileSystemDataSource") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe FileSystemDataSource)) :*: S1 ('MetaSel ('Just "s3DataSource") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe S3DataSource))))

newDataSource :: DataSource Source #

Create a value of DataSource with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:fileSystemDataSource:DataSource', dataSource_fileSystemDataSource - The file system that is associated with a channel.

$sel:s3DataSource:DataSource', dataSource_s3DataSource - The S3 location of the data source that is associated with a channel.

dataSource_fileSystemDataSource :: Lens' DataSource (Maybe FileSystemDataSource) Source #

The file system that is associated with a channel.

dataSource_s3DataSource :: Lens' DataSource (Maybe S3DataSource) Source #

The S3 location of the data source that is associated with a channel.

DatasetDefinition

data DatasetDefinition Source #

Configuration for Dataset Definition inputs. The Dataset Definition input must specify exactly one of either AthenaDatasetDefinition or RedshiftDatasetDefinition types.

See: newDatasetDefinition smart constructor.

Constructors

DatasetDefinition' 

Fields

Instances

Instances details
FromJSON DatasetDefinition Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DatasetDefinition

Methods

parseJSON :: Value -> Parser DatasetDefinition #

parseJSONList :: Value -> Parser [DatasetDefinition] #

ToJSON DatasetDefinition Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DatasetDefinition

Methods

toJSON :: DatasetDefinition -> Value #

toEncoding :: DatasetDefinition -> Encoding #

toJSONList :: [DatasetDefinition] -> Value #

toEncodingList :: [DatasetDefinition] -> Encoding #

Generic DatasetDefinition Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DatasetDefinition

Associated Types

type Rep DatasetDefinition :: Type -> Type #

Methods

from :: DatasetDefinition -> Rep DatasetDefinition x #

to :: Rep DatasetDefinition x -> DatasetDefinition #

Read DatasetDefinition Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DatasetDefinition

Methods

readsPrec :: Int -> ReadS DatasetDefinition #

readList :: ReadS [DatasetDefinition] #

readPrec :: ReadPrec DatasetDefinition #

readListPrec :: ReadPrec [DatasetDefinition] #

Show DatasetDefinition Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DatasetDefinition

Methods

showsPrec :: Int -> DatasetDefinition -> ShowS #

show :: DatasetDefinition -> String #

showList :: [DatasetDefinition] -> ShowS #

NFData DatasetDefinition Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DatasetDefinition

Methods

rnf :: DatasetDefinition -> () #

Eq DatasetDefinition Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DatasetDefinition

Methods

(==) :: DatasetDefinition -> DatasetDefinition -> Bool #

(/=) :: DatasetDefinition -> DatasetDefinition -> Bool #

Hashable DatasetDefinition Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DatasetDefinition

Methods

hashWithSalt :: Int -> DatasetDefinition -> Int #

hash :: DatasetDefinition -> Int #

type Rep DatasetDefinition Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DatasetDefinition

type Rep DatasetDefinition = D1 ('MetaData "DatasetDefinition" "Amazonka.SageMaker.Types.DatasetDefinition" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "DatasetDefinition'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "athenaDatasetDefinition") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe AthenaDatasetDefinition)) :*: S1 ('MetaSel ('Just "dataDistributionType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe DataDistributionType))) :*: (S1 ('MetaSel ('Just "inputMode") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe InputMode)) :*: (S1 ('MetaSel ('Just "localPath") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "redshiftDatasetDefinition") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe RedshiftDatasetDefinition))))))

newDatasetDefinition :: DatasetDefinition Source #

Create a value of DatasetDefinition with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:athenaDatasetDefinition:DatasetDefinition', datasetDefinition_athenaDatasetDefinition - Undocumented member.

$sel:dataDistributionType:DatasetDefinition', datasetDefinition_dataDistributionType - Whether the generated dataset is FullyReplicated or ShardedByS3Key (default).

$sel:inputMode:DatasetDefinition', datasetDefinition_inputMode - Whether to use File or Pipe input mode. In File (default) mode, Amazon SageMaker copies the data from the input source onto the local Amazon Elastic Block Store (Amazon EBS) volumes before starting your training algorithm. This is the most commonly used input mode. In Pipe mode, Amazon SageMaker streams input data from the source directly to your algorithm without using the EBS volume.

$sel:localPath:DatasetDefinition', datasetDefinition_localPath - The local path where you want Amazon SageMaker to download the Dataset Definition inputs to run a processing job. LocalPath is an absolute path to the input data. This is a required parameter when AppManaged is False (default).

$sel:redshiftDatasetDefinition:DatasetDefinition', datasetDefinition_redshiftDatasetDefinition - Undocumented member.

datasetDefinition_athenaDatasetDefinition :: Lens' DatasetDefinition (Maybe AthenaDatasetDefinition) Source #

Undocumented member.

datasetDefinition_dataDistributionType :: Lens' DatasetDefinition (Maybe DataDistributionType) Source #

Whether the generated dataset is FullyReplicated or ShardedByS3Key (default).

datasetDefinition_inputMode :: Lens' DatasetDefinition (Maybe InputMode) Source #

Whether to use File or Pipe input mode. In File (default) mode, Amazon SageMaker copies the data from the input source onto the local Amazon Elastic Block Store (Amazon EBS) volumes before starting your training algorithm. This is the most commonly used input mode. In Pipe mode, Amazon SageMaker streams input data from the source directly to your algorithm without using the EBS volume.

datasetDefinition_localPath :: Lens' DatasetDefinition (Maybe Text) Source #

The local path where you want Amazon SageMaker to download the Dataset Definition inputs to run a processing job. LocalPath is an absolute path to the input data. This is a required parameter when AppManaged is False (default).

datasetDefinition_redshiftDatasetDefinition :: Lens' DatasetDefinition (Maybe RedshiftDatasetDefinition) Source #

Undocumented member.

DebugHookConfig

data DebugHookConfig Source #

Configuration information for the Amazon SageMaker Debugger hook parameters, metric and tensor collections, and storage paths. To learn more about how to configure the DebugHookConfig parameter, see Use the SageMaker and Debugger Configuration API Operations to Create, Update, and Debug Your Training Job.

See: newDebugHookConfig smart constructor.

Constructors

DebugHookConfig' 

Fields

Instances

Instances details
FromJSON DebugHookConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DebugHookConfig

Methods

parseJSON :: Value -> Parser DebugHookConfig #

parseJSONList :: Value -> Parser [DebugHookConfig] #

ToJSON DebugHookConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DebugHookConfig

Methods

toJSON :: DebugHookConfig -> Value #

toEncoding :: DebugHookConfig -> Encoding #

toJSONList :: [DebugHookConfig] -> Value #

toEncodingList :: [DebugHookConfig] -> Encoding #

Generic DebugHookConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DebugHookConfig

Associated Types

type Rep DebugHookConfig :: Type -> Type #

Methods

from :: DebugHookConfig -> Rep DebugHookConfig x #

to :: Rep DebugHookConfig x -> DebugHookConfig #

Read DebugHookConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DebugHookConfig

Methods

readsPrec :: Int -> ReadS DebugHookConfig #

readList :: ReadS [DebugHookConfig] #

readPrec :: ReadPrec DebugHookConfig #

readListPrec :: ReadPrec [DebugHookConfig] #

Show DebugHookConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DebugHookConfig

Methods

showsPrec :: Int -> DebugHookConfig -> ShowS #

show :: DebugHookConfig -> String #

showList :: [DebugHookConfig] -> ShowS #

NFData DebugHookConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DebugHookConfig

Methods

rnf :: DebugHookConfig -> () #

Eq DebugHookConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DebugHookConfig

Methods

(==) :: DebugHookConfig -> DebugHookConfig -> Bool #

(/=) :: DebugHookConfig -> DebugHookConfig -> Bool #

Hashable DebugHookConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DebugHookConfig

Methods

hashWithSalt :: Int -> DebugHookConfig -> Int #

hash :: DebugHookConfig -> Int #

type Rep DebugHookConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DebugHookConfig

type Rep DebugHookConfig = D1 ('MetaData "DebugHookConfig" "Amazonka.SageMaker.Types.DebugHookConfig" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "DebugHookConfig'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "collectionConfigurations") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [CollectionConfiguration])) :*: S1 ('MetaSel ('Just "hookParameters") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe (HashMap Text Text)))) :*: (S1 ('MetaSel ('Just "localPath") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "s3OutputPath") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text))))

newDebugHookConfig Source #

Arguments

:: Text

$sel:s3OutputPath:DebugHookConfig'

-> DebugHookConfig 

Create a value of DebugHookConfig with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:collectionConfigurations:DebugHookConfig', debugHookConfig_collectionConfigurations - Configuration information for Amazon SageMaker Debugger tensor collections. To learn more about how to configure the CollectionConfiguration parameter, see Use the SageMaker and Debugger Configuration API Operations to Create, Update, and Debug Your Training Job.

$sel:hookParameters:DebugHookConfig', debugHookConfig_hookParameters - Configuration information for the Amazon SageMaker Debugger hook parameters.

$sel:localPath:DebugHookConfig', debugHookConfig_localPath - Path to local storage location for metrics and tensors. Defaults to /opt/ml/output/tensors/.

$sel:s3OutputPath:DebugHookConfig', debugHookConfig_s3OutputPath - Path to Amazon S3 storage location for metrics and tensors.

debugHookConfig_collectionConfigurations :: Lens' DebugHookConfig (Maybe [CollectionConfiguration]) Source #

Configuration information for Amazon SageMaker Debugger tensor collections. To learn more about how to configure the CollectionConfiguration parameter, see Use the SageMaker and Debugger Configuration API Operations to Create, Update, and Debug Your Training Job.

debugHookConfig_hookParameters :: Lens' DebugHookConfig (Maybe (HashMap Text Text)) Source #

Configuration information for the Amazon SageMaker Debugger hook parameters.

debugHookConfig_localPath :: Lens' DebugHookConfig (Maybe Text) Source #

Path to local storage location for metrics and tensors. Defaults to /opt/ml/output/tensors/.

debugHookConfig_s3OutputPath :: Lens' DebugHookConfig Text Source #

Path to Amazon S3 storage location for metrics and tensors.

DebugRuleConfiguration

data DebugRuleConfiguration Source #

Configuration information for SageMaker Debugger rules for debugging. To learn more about how to configure the DebugRuleConfiguration parameter, see Use the SageMaker and Debugger Configuration API Operations to Create, Update, and Debug Your Training Job.

See: newDebugRuleConfiguration smart constructor.

Constructors

DebugRuleConfiguration' 

Fields

Instances

Instances details
FromJSON DebugRuleConfiguration Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DebugRuleConfiguration

Methods

parseJSON :: Value -> Parser DebugRuleConfiguration #

parseJSONList :: Value -> Parser [DebugRuleConfiguration] #

ToJSON DebugRuleConfiguration Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DebugRuleConfiguration

Methods

toJSON :: DebugRuleConfiguration -> Value #

toEncoding :: DebugRuleConfiguration -> Encoding #

toJSONList :: [DebugRuleConfiguration] -> Value #

toEncodingList :: [DebugRuleConfiguration] -> Encoding #

Generic DebugRuleConfiguration Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DebugRuleConfiguration

Associated Types

type Rep DebugRuleConfiguration :: Type -> Type #

Methods

from :: DebugRuleConfiguration -> Rep DebugRuleConfiguration x #

to :: Rep DebugRuleConfiguration x -> DebugRuleConfiguration #

Read DebugRuleConfiguration Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DebugRuleConfiguration

Methods

readsPrec :: Int -> ReadS DebugRuleConfiguration #

readList :: ReadS [DebugRuleConfiguration] #

readPrec :: ReadPrec DebugRuleConfiguration #

readListPrec :: ReadPrec [DebugRuleConfiguration] #

Show DebugRuleConfiguration Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DebugRuleConfiguration

Methods

showsPrec :: Int -> DebugRuleConfiguration -> ShowS #

show :: DebugRuleConfiguration -> String #

showList :: [DebugRuleConfiguration] -> ShowS #

NFData DebugRuleConfiguration Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DebugRuleConfiguration

Methods

rnf :: DebugRuleConfiguration -> () #

Eq DebugRuleConfiguration Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DebugRuleConfiguration

Methods

(==) :: DebugRuleConfiguration -> DebugRuleConfiguration -> Bool #

(/=) :: DebugRuleConfiguration -> DebugRuleConfiguration -> Bool #

Hashable DebugRuleConfiguration Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DebugRuleConfiguration

Methods

hashWithSalt :: Int -> DebugRuleConfiguration -> Int #

hash :: DebugRuleConfiguration -> Int #

type Rep DebugRuleConfiguration Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DebugRuleConfiguration

type Rep DebugRuleConfiguration = D1 ('MetaData "DebugRuleConfiguration" "Amazonka.SageMaker.Types.DebugRuleConfiguration" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "DebugRuleConfiguration'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "instanceType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ProcessingInstanceType)) :*: (S1 ('MetaSel ('Just "localPath") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "ruleParameters") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe (HashMap Text Text))))) :*: ((S1 ('MetaSel ('Just "s3OutputPath") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "volumeSizeInGB") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural))) :*: (S1 ('MetaSel ('Just "ruleConfigurationName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: S1 ('MetaSel ('Just "ruleEvaluatorImage") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))))

newDebugRuleConfiguration Source #

Arguments

:: Text

$sel:ruleConfigurationName:DebugRuleConfiguration'

-> Text

$sel:ruleEvaluatorImage:DebugRuleConfiguration'

-> DebugRuleConfiguration 

Create a value of DebugRuleConfiguration with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:instanceType:DebugRuleConfiguration', debugRuleConfiguration_instanceType - The instance type to deploy a custom rule for debugging a training job.

$sel:localPath:DebugRuleConfiguration', debugRuleConfiguration_localPath - Path to local storage location for output of rules. Defaults to /opt/ml/processing/output/rule/.

$sel:ruleParameters:DebugRuleConfiguration', debugRuleConfiguration_ruleParameters - Runtime configuration for rule container.

$sel:s3OutputPath:DebugRuleConfiguration', debugRuleConfiguration_s3OutputPath - Path to Amazon S3 storage location for rules.

$sel:volumeSizeInGB:DebugRuleConfiguration', debugRuleConfiguration_volumeSizeInGB - The size, in GB, of the ML storage volume attached to the processing instance.

$sel:ruleConfigurationName:DebugRuleConfiguration', debugRuleConfiguration_ruleConfigurationName - The name of the rule configuration. It must be unique relative to other rule configuration names.

$sel:ruleEvaluatorImage:DebugRuleConfiguration', debugRuleConfiguration_ruleEvaluatorImage - The Amazon Elastic Container (ECR) Image for the managed rule evaluation.

debugRuleConfiguration_instanceType :: Lens' DebugRuleConfiguration (Maybe ProcessingInstanceType) Source #

The instance type to deploy a custom rule for debugging a training job.

debugRuleConfiguration_localPath :: Lens' DebugRuleConfiguration (Maybe Text) Source #

Path to local storage location for output of rules. Defaults to /opt/ml/processing/output/rule/.

debugRuleConfiguration_ruleParameters :: Lens' DebugRuleConfiguration (Maybe (HashMap Text Text)) Source #

Runtime configuration for rule container.

debugRuleConfiguration_s3OutputPath :: Lens' DebugRuleConfiguration (Maybe Text) Source #

Path to Amazon S3 storage location for rules.

debugRuleConfiguration_volumeSizeInGB :: Lens' DebugRuleConfiguration (Maybe Natural) Source #

The size, in GB, of the ML storage volume attached to the processing instance.

debugRuleConfiguration_ruleConfigurationName :: Lens' DebugRuleConfiguration Text Source #

The name of the rule configuration. It must be unique relative to other rule configuration names.

debugRuleConfiguration_ruleEvaluatorImage :: Lens' DebugRuleConfiguration Text Source #

The Amazon Elastic Container (ECR) Image for the managed rule evaluation.

DebugRuleEvaluationStatus

data DebugRuleEvaluationStatus Source #

Information about the status of the rule evaluation.

See: newDebugRuleEvaluationStatus smart constructor.

Constructors

DebugRuleEvaluationStatus' 

Fields

Instances

Instances details
FromJSON DebugRuleEvaluationStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DebugRuleEvaluationStatus

Methods

parseJSON :: Value -> Parser DebugRuleEvaluationStatus #

parseJSONList :: Value -> Parser [DebugRuleEvaluationStatus] #

Generic DebugRuleEvaluationStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DebugRuleEvaluationStatus

Associated Types

type Rep DebugRuleEvaluationStatus :: Type -> Type #

Methods

from :: DebugRuleEvaluationStatus -> Rep DebugRuleEvaluationStatus x #

to :: Rep DebugRuleEvaluationStatus x -> DebugRuleEvaluationStatus #

Read DebugRuleEvaluationStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DebugRuleEvaluationStatus

Methods

readsPrec :: Int -> ReadS DebugRuleEvaluationStatus #

readList :: ReadS [DebugRuleEvaluationStatus] #

readPrec :: ReadPrec DebugRuleEvaluationStatus #

readListPrec :: ReadPrec [DebugRuleEvaluationStatus] #

Show DebugRuleEvaluationStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DebugRuleEvaluationStatus

Methods

showsPrec :: Int -> DebugRuleEvaluationStatus -> ShowS #

show :: DebugRuleEvaluationStatus -> String #

showList :: [DebugRuleEvaluationStatus] -> ShowS #

NFData DebugRuleEvaluationStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DebugRuleEvaluationStatus

Methods

rnf :: DebugRuleEvaluationStatus -> () #

Eq DebugRuleEvaluationStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DebugRuleEvaluationStatus

Methods

(==) :: DebugRuleEvaluationStatus -> DebugRuleEvaluationStatus -> Bool #

(/=) :: DebugRuleEvaluationStatus -> DebugRuleEvaluationStatus -> Bool #

Hashable DebugRuleEvaluationStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DebugRuleEvaluationStatus

Methods

hashWithSalt :: Int -> DebugRuleEvaluationStatus -> Int #

hash :: DebugRuleEvaluationStatus -> Int #

type Rep DebugRuleEvaluationStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DebugRuleEvaluationStatus

type Rep DebugRuleEvaluationStatus = D1 ('MetaData "DebugRuleEvaluationStatus" "Amazonka.SageMaker.Types.DebugRuleEvaluationStatus" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "DebugRuleEvaluationStatus'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "lastModifiedTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :*: S1 ('MetaSel ('Just "ruleConfigurationName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))) :*: (S1 ('MetaSel ('Just "ruleEvaluationJobArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: (S1 ('MetaSel ('Just "ruleEvaluationStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe RuleEvaluationStatus)) :*: S1 ('MetaSel ('Just "statusDetails") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))))

newDebugRuleEvaluationStatus :: DebugRuleEvaluationStatus Source #

Create a value of DebugRuleEvaluationStatus with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:lastModifiedTime:DebugRuleEvaluationStatus', debugRuleEvaluationStatus_lastModifiedTime - Timestamp when the rule evaluation status was last modified.

$sel:ruleConfigurationName:DebugRuleEvaluationStatus', debugRuleEvaluationStatus_ruleConfigurationName - The name of the rule configuration.

$sel:ruleEvaluationJobArn:DebugRuleEvaluationStatus', debugRuleEvaluationStatus_ruleEvaluationJobArn - The Amazon Resource Name (ARN) of the rule evaluation job.

$sel:ruleEvaluationStatus:DebugRuleEvaluationStatus', debugRuleEvaluationStatus_ruleEvaluationStatus - Status of the rule evaluation.

$sel:statusDetails:DebugRuleEvaluationStatus', debugRuleEvaluationStatus_statusDetails - Details from the rule evaluation.

debugRuleEvaluationStatus_lastModifiedTime :: Lens' DebugRuleEvaluationStatus (Maybe UTCTime) Source #

Timestamp when the rule evaluation status was last modified.

debugRuleEvaluationStatus_ruleConfigurationName :: Lens' DebugRuleEvaluationStatus (Maybe Text) Source #

The name of the rule configuration.

debugRuleEvaluationStatus_ruleEvaluationJobArn :: Lens' DebugRuleEvaluationStatus (Maybe Text) Source #

The Amazon Resource Name (ARN) of the rule evaluation job.

debugRuleEvaluationStatus_ruleEvaluationStatus :: Lens' DebugRuleEvaluationStatus (Maybe RuleEvaluationStatus) Source #

Status of the rule evaluation.

debugRuleEvaluationStatus_statusDetails :: Lens' DebugRuleEvaluationStatus (Maybe Text) Source #

Details from the rule evaluation.

DefaultSpaceSettings

data DefaultSpaceSettings Source #

A collection of settings that apply to spaces created in the Domain.

See: newDefaultSpaceSettings smart constructor.

Constructors

DefaultSpaceSettings' 

Fields

Instances

Instances details
FromJSON DefaultSpaceSettings Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DefaultSpaceSettings

Methods

parseJSON :: Value -> Parser DefaultSpaceSettings #

parseJSONList :: Value -> Parser [DefaultSpaceSettings] #

ToJSON DefaultSpaceSettings Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DefaultSpaceSettings

Methods

toJSON :: DefaultSpaceSettings -> Value #

toEncoding :: DefaultSpaceSettings -> Encoding #

toJSONList :: [DefaultSpaceSettings] -> Value #

toEncodingList :: [DefaultSpaceSettings] -> Encoding #

Generic DefaultSpaceSettings Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DefaultSpaceSettings

Associated Types

type Rep DefaultSpaceSettings :: Type -> Type #

Methods

from :: DefaultSpaceSettings -> Rep DefaultSpaceSettings x #

to :: Rep DefaultSpaceSettings x -> DefaultSpaceSettings #

Read DefaultSpaceSettings Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DefaultSpaceSettings

Methods

readsPrec :: Int -> ReadS DefaultSpaceSettings #

readList :: ReadS [DefaultSpaceSettings] #

readPrec :: ReadPrec DefaultSpaceSettings #

readListPrec :: ReadPrec [DefaultSpaceSettings] #

Show DefaultSpaceSettings Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DefaultSpaceSettings

Methods

showsPrec :: Int -> DefaultSpaceSettings -> ShowS #

show :: DefaultSpaceSettings -> String #

showList :: [DefaultSpaceSettings] -> ShowS #

NFData DefaultSpaceSettings Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DefaultSpaceSettings

Methods

rnf :: DefaultSpaceSettings -> () #

Eq DefaultSpaceSettings Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DefaultSpaceSettings

Methods

(==) :: DefaultSpaceSettings -> DefaultSpaceSettings -> Bool #

(/=) :: DefaultSpaceSettings -> DefaultSpaceSettings -> Bool #

Hashable DefaultSpaceSettings Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DefaultSpaceSettings

Methods

hashWithSalt :: Int -> DefaultSpaceSettings -> Int #

hash :: DefaultSpaceSettings -> Int #

type Rep DefaultSpaceSettings Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DefaultSpaceSettings

type Rep DefaultSpaceSettings = D1 ('MetaData "DefaultSpaceSettings" "Amazonka.SageMaker.Types.DefaultSpaceSettings" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "DefaultSpaceSettings'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "executionRole") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "jupyterServerAppSettings") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe JupyterServerAppSettings))) :*: (S1 ('MetaSel ('Just "kernelGatewayAppSettings") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe KernelGatewayAppSettings)) :*: S1 ('MetaSel ('Just "securityGroups") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [Text])))))

newDefaultSpaceSettings :: DefaultSpaceSettings Source #

Create a value of DefaultSpaceSettings with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:executionRole:DefaultSpaceSettings', defaultSpaceSettings_executionRole - The execution role for the space.

$sel:jupyterServerAppSettings:DefaultSpaceSettings', defaultSpaceSettings_jupyterServerAppSettings - Undocumented member.

$sel:kernelGatewayAppSettings:DefaultSpaceSettings', defaultSpaceSettings_kernelGatewayAppSettings - Undocumented member.

$sel:securityGroups:DefaultSpaceSettings', defaultSpaceSettings_securityGroups - The security groups for the Amazon Virtual Private Cloud that the space uses for communication.

defaultSpaceSettings_executionRole :: Lens' DefaultSpaceSettings (Maybe Text) Source #

The execution role for the space.

defaultSpaceSettings_jupyterServerAppSettings :: Lens' DefaultSpaceSettings (Maybe JupyterServerAppSettings) Source #

Undocumented member.

defaultSpaceSettings_kernelGatewayAppSettings :: Lens' DefaultSpaceSettings (Maybe KernelGatewayAppSettings) Source #

Undocumented member.

defaultSpaceSettings_securityGroups :: Lens' DefaultSpaceSettings (Maybe [Text]) Source #

The security groups for the Amazon Virtual Private Cloud that the space uses for communication.

DeployedImage

data DeployedImage Source #

Gets the Amazon EC2 Container Registry path of the docker image of the model that is hosted in this ProductionVariant.

If you used the registry/repository[:tag] form to specify the image path of the primary container when you created the model hosted in this ProductionVariant, the path resolves to a path of the form registry/repository[@digest]. A digest is a hash value that identifies a specific version of an image. For information about Amazon ECR paths, see Pulling an Image in the Amazon ECR User Guide.

See: newDeployedImage smart constructor.

Constructors

DeployedImage' 

Fields

Instances

Instances details
FromJSON DeployedImage Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DeployedImage

Methods

parseJSON :: Value -> Parser DeployedImage #

parseJSONList :: Value -> Parser [DeployedImage] #

Generic DeployedImage Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DeployedImage

Associated Types

type Rep DeployedImage :: Type -> Type #

Methods

from :: DeployedImage -> Rep DeployedImage x #

to :: Rep DeployedImage x -> DeployedImage #

Read DeployedImage Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DeployedImage

Methods

readsPrec :: Int -> ReadS DeployedImage #

readList :: ReadS [DeployedImage] #

readPrec :: ReadPrec DeployedImage #

readListPrec :: ReadPrec [DeployedImage] #

Show DeployedImage Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DeployedImage

Methods

showsPrec :: Int -> DeployedImage -> ShowS #

show :: DeployedImage -> String #

showList :: [DeployedImage] -> ShowS #

NFData DeployedImage Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DeployedImage

Methods

rnf :: DeployedImage -> () #

Eq DeployedImage Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DeployedImage

Methods

(==) :: DeployedImage -> DeployedImage -> Bool #

(/=) :: DeployedImage -> DeployedImage -> Bool #

Hashable DeployedImage Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DeployedImage

Methods

hashWithSalt :: Int -> DeployedImage -> Int #

hash :: DeployedImage -> Int #

type Rep DeployedImage Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DeployedImage

type Rep DeployedImage = D1 ('MetaData "DeployedImage" "Amazonka.SageMaker.Types.DeployedImage" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "DeployedImage'" 'PrefixI 'True) (S1 ('MetaSel ('Just "resolutionTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :*: (S1 ('MetaSel ('Just "resolvedImage") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "specifiedImage") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))))

newDeployedImage :: DeployedImage Source #

Create a value of DeployedImage with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:resolutionTime:DeployedImage', deployedImage_resolutionTime - The date and time when the image path for the model resolved to the ResolvedImage

$sel:resolvedImage:DeployedImage', deployedImage_resolvedImage - The specific digest path of the image hosted in this ProductionVariant.

$sel:specifiedImage:DeployedImage', deployedImage_specifiedImage - The image path you specified when you created the model.

deployedImage_resolutionTime :: Lens' DeployedImage (Maybe UTCTime) Source #

The date and time when the image path for the model resolved to the ResolvedImage

deployedImage_resolvedImage :: Lens' DeployedImage (Maybe Text) Source #

The specific digest path of the image hosted in this ProductionVariant.

deployedImage_specifiedImage :: Lens' DeployedImage (Maybe Text) Source #

The image path you specified when you created the model.

DeploymentConfig

data DeploymentConfig Source #

The deployment configuration for an endpoint, which contains the desired deployment strategy and rollback configurations.

See: newDeploymentConfig smart constructor.

Constructors

DeploymentConfig' 

Fields

  • autoRollbackConfiguration :: Maybe AutoRollbackConfig

    Automatic rollback configuration for handling endpoint deployment failures and recovery.

  • blueGreenUpdatePolicy :: BlueGreenUpdatePolicy

    Update policy for a blue/green deployment. If this update policy is specified, SageMaker creates a new fleet during the deployment while maintaining the old fleet. SageMaker flips traffic to the new fleet according to the specified traffic routing configuration. Only one update policy should be used in the deployment configuration. If no update policy is specified, SageMaker uses a blue/green deployment strategy with all at once traffic shifting by default.

Instances

Instances details
FromJSON DeploymentConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DeploymentConfig

Methods

parseJSON :: Value -> Parser DeploymentConfig #

parseJSONList :: Value -> Parser [DeploymentConfig] #

ToJSON DeploymentConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DeploymentConfig

Methods

toJSON :: DeploymentConfig -> Value #

toEncoding :: DeploymentConfig -> Encoding #

toJSONList :: [DeploymentConfig] -> Value #

toEncodingList :: [DeploymentConfig] -> Encoding #

Generic DeploymentConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DeploymentConfig

Associated Types

type Rep DeploymentConfig :: Type -> Type #

Methods

from :: DeploymentConfig -> Rep DeploymentConfig x #

to :: Rep DeploymentConfig x -> DeploymentConfig #

Read DeploymentConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DeploymentConfig

Methods

readsPrec :: Int -> ReadS DeploymentConfig #

readList :: ReadS [DeploymentConfig] #

readPrec :: ReadPrec DeploymentConfig #

readListPrec :: ReadPrec [DeploymentConfig] #

Show DeploymentConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DeploymentConfig

Methods

showsPrec :: Int -> DeploymentConfig -> ShowS #

show :: DeploymentConfig -> String #

showList :: [DeploymentConfig] -> ShowS #

NFData DeploymentConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DeploymentConfig

Methods

rnf :: DeploymentConfig -> () #

Eq DeploymentConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DeploymentConfig

Methods

(==) :: DeploymentConfig -> DeploymentConfig -> Bool #

(/=) :: DeploymentConfig -> DeploymentConfig -> Bool #

Hashable DeploymentConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DeploymentConfig

Methods

hashWithSalt :: Int -> DeploymentConfig -> Int #

hash :: DeploymentConfig -> Int #

type Rep DeploymentConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DeploymentConfig

type Rep DeploymentConfig = D1 ('MetaData "DeploymentConfig" "Amazonka.SageMaker.Types.DeploymentConfig" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "DeploymentConfig'" 'PrefixI 'True) (S1 ('MetaSel ('Just "autoRollbackConfiguration") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe AutoRollbackConfig)) :*: S1 ('MetaSel ('Just "blueGreenUpdatePolicy") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 BlueGreenUpdatePolicy)))

newDeploymentConfig Source #

Arguments

:: BlueGreenUpdatePolicy

$sel:blueGreenUpdatePolicy:DeploymentConfig'

-> DeploymentConfig 

Create a value of DeploymentConfig with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:autoRollbackConfiguration:DeploymentConfig', deploymentConfig_autoRollbackConfiguration - Automatic rollback configuration for handling endpoint deployment failures and recovery.

$sel:blueGreenUpdatePolicy:DeploymentConfig', deploymentConfig_blueGreenUpdatePolicy - Update policy for a blue/green deployment. If this update policy is specified, SageMaker creates a new fleet during the deployment while maintaining the old fleet. SageMaker flips traffic to the new fleet according to the specified traffic routing configuration. Only one update policy should be used in the deployment configuration. If no update policy is specified, SageMaker uses a blue/green deployment strategy with all at once traffic shifting by default.

deploymentConfig_autoRollbackConfiguration :: Lens' DeploymentConfig (Maybe AutoRollbackConfig) Source #

Automatic rollback configuration for handling endpoint deployment failures and recovery.

deploymentConfig_blueGreenUpdatePolicy :: Lens' DeploymentConfig BlueGreenUpdatePolicy Source #

Update policy for a blue/green deployment. If this update policy is specified, SageMaker creates a new fleet during the deployment while maintaining the old fleet. SageMaker flips traffic to the new fleet according to the specified traffic routing configuration. Only one update policy should be used in the deployment configuration. If no update policy is specified, SageMaker uses a blue/green deployment strategy with all at once traffic shifting by default.

DeploymentStage

data DeploymentStage Source #

Contains information about a stage in an edge deployment plan.

See: newDeploymentStage smart constructor.

Constructors

DeploymentStage' 

Fields

Instances

Instances details
ToJSON DeploymentStage Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DeploymentStage

Methods

toJSON :: DeploymentStage -> Value #

toEncoding :: DeploymentStage -> Encoding #

toJSONList :: [DeploymentStage] -> Value #

toEncodingList :: [DeploymentStage] -> Encoding #

Generic DeploymentStage Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DeploymentStage

Associated Types

type Rep DeploymentStage :: Type -> Type #

Methods

from :: DeploymentStage -> Rep DeploymentStage x #

to :: Rep DeploymentStage x -> DeploymentStage #

Read DeploymentStage Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DeploymentStage

Methods

readsPrec :: Int -> ReadS DeploymentStage #

readList :: ReadS [DeploymentStage] #

readPrec :: ReadPrec DeploymentStage #

readListPrec :: ReadPrec [DeploymentStage] #

Show DeploymentStage Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DeploymentStage

Methods

showsPrec :: Int -> DeploymentStage -> ShowS #

show :: DeploymentStage -> String #

showList :: [DeploymentStage] -> ShowS #

NFData DeploymentStage Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DeploymentStage

Methods

rnf :: DeploymentStage -> () #

Eq DeploymentStage Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DeploymentStage

Methods

(==) :: DeploymentStage -> DeploymentStage -> Bool #

(/=) :: DeploymentStage -> DeploymentStage -> Bool #

Hashable DeploymentStage Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DeploymentStage

Methods

hashWithSalt :: Int -> DeploymentStage -> Int #

hash :: DeploymentStage -> Int #

type Rep DeploymentStage Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DeploymentStage

type Rep DeploymentStage = D1 ('MetaData "DeploymentStage" "Amazonka.SageMaker.Types.DeploymentStage" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "DeploymentStage'" 'PrefixI 'True) (S1 ('MetaSel ('Just "deploymentConfig") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe EdgeDeploymentConfig)) :*: (S1 ('MetaSel ('Just "stageName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: S1 ('MetaSel ('Just "deviceSelectionConfig") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 DeviceSelectionConfig))))

newDeploymentStage Source #

Arguments

:: Text

$sel:stageName:DeploymentStage'

-> DeviceSelectionConfig

$sel:deviceSelectionConfig:DeploymentStage'

-> DeploymentStage 

Create a value of DeploymentStage with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:deploymentConfig:DeploymentStage', deploymentStage_deploymentConfig - Configuration of the deployment details.

$sel:stageName:DeploymentStage', deploymentStage_stageName - The name of the stage.

$sel:deviceSelectionConfig:DeploymentStage', deploymentStage_deviceSelectionConfig - Configuration of the devices in the stage.

deploymentStage_deploymentConfig :: Lens' DeploymentStage (Maybe EdgeDeploymentConfig) Source #

Configuration of the deployment details.

deploymentStage_stageName :: Lens' DeploymentStage Text Source #

The name of the stage.

deploymentStage_deviceSelectionConfig :: Lens' DeploymentStage DeviceSelectionConfig Source #

Configuration of the devices in the stage.

DeploymentStageStatusSummary

data DeploymentStageStatusSummary Source #

Contains information summarizing the deployment stage results.

See: newDeploymentStageStatusSummary smart constructor.

Constructors

DeploymentStageStatusSummary' 

Fields

Instances

Instances details
FromJSON DeploymentStageStatusSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DeploymentStageStatusSummary

Methods

parseJSON :: Value -> Parser DeploymentStageStatusSummary #

parseJSONList :: Value -> Parser [DeploymentStageStatusSummary] #

Generic DeploymentStageStatusSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DeploymentStageStatusSummary

Associated Types

type Rep DeploymentStageStatusSummary :: Type -> Type #

Methods

from :: DeploymentStageStatusSummary -> Rep DeploymentStageStatusSummary x #

to :: Rep DeploymentStageStatusSummary x -> DeploymentStageStatusSummary #

Read DeploymentStageStatusSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DeploymentStageStatusSummary

Methods

readsPrec :: Int -> ReadS DeploymentStageStatusSummary #

readList :: ReadS [DeploymentStageStatusSummary] #

readPrec :: ReadPrec DeploymentStageStatusSummary #

readListPrec :: ReadPrec [DeploymentStageStatusSummary] #

Show DeploymentStageStatusSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DeploymentStageStatusSummary

Methods

showsPrec :: Int -> DeploymentStageStatusSummary -> ShowS #

show :: DeploymentStageStatusSummary -> String #

showList :: [DeploymentStageStatusSummary] -> ShowS #

NFData DeploymentStageStatusSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DeploymentStageStatusSummary

Methods

rnf :: DeploymentStageStatusSummary -> () #

Eq DeploymentStageStatusSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DeploymentStageStatusSummary

Methods

(==) :: DeploymentStageStatusSummary -> DeploymentStageStatusSummary -> Bool #

(/=) :: DeploymentStageStatusSummary -> DeploymentStageStatusSummary -> Bool #

Hashable DeploymentStageStatusSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DeploymentStageStatusSummary

Methods

hashWithSalt :: Int -> DeploymentStageStatusSummary -> Int #

hash :: DeploymentStageStatusSummary -> Int #

type Rep DeploymentStageStatusSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DeploymentStageStatusSummary

type Rep DeploymentStageStatusSummary = D1 ('MetaData "DeploymentStageStatusSummary" "Amazonka.SageMaker.Types.DeploymentStageStatusSummary" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "DeploymentStageStatusSummary'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "stageName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: S1 ('MetaSel ('Just "deviceSelectionConfig") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 DeviceSelectionConfig)) :*: (S1 ('MetaSel ('Just "deploymentConfig") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 EdgeDeploymentConfig) :*: S1 ('MetaSel ('Just "deploymentStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 EdgeDeploymentStatus))))

newDeploymentStageStatusSummary Source #

Arguments

:: Text

$sel:stageName:DeploymentStageStatusSummary'

-> DeviceSelectionConfig

$sel:deviceSelectionConfig:DeploymentStageStatusSummary'

-> EdgeDeploymentConfig

$sel:deploymentConfig:DeploymentStageStatusSummary'

-> EdgeDeploymentStatus

$sel:deploymentStatus:DeploymentStageStatusSummary'

-> DeploymentStageStatusSummary 

Create a value of DeploymentStageStatusSummary with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:stageName:DeploymentStageStatusSummary', deploymentStageStatusSummary_stageName - The name of the stage.

$sel:deviceSelectionConfig:DeploymentStageStatusSummary', deploymentStageStatusSummary_deviceSelectionConfig - Configuration of the devices in the stage.

$sel:deploymentConfig:DeploymentStageStatusSummary', deploymentStageStatusSummary_deploymentConfig - Configuration of the deployment details.

$sel:deploymentStatus:DeploymentStageStatusSummary', deploymentStageStatusSummary_deploymentStatus - General status of the current state.

deploymentStageStatusSummary_stageName :: Lens' DeploymentStageStatusSummary Text Source #

The name of the stage.

deploymentStageStatusSummary_deviceSelectionConfig :: Lens' DeploymentStageStatusSummary DeviceSelectionConfig Source #

Configuration of the devices in the stage.

deploymentStageStatusSummary_deploymentConfig :: Lens' DeploymentStageStatusSummary EdgeDeploymentConfig Source #

Configuration of the deployment details.

deploymentStageStatusSummary_deploymentStatus :: Lens' DeploymentStageStatusSummary EdgeDeploymentStatus Source #

General status of the current state.

DesiredWeightAndCapacity

data DesiredWeightAndCapacity Source #

Specifies weight and capacity values for a production variant.

See: newDesiredWeightAndCapacity smart constructor.

Constructors

DesiredWeightAndCapacity' 

Fields

Instances

Instances details
ToJSON DesiredWeightAndCapacity Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DesiredWeightAndCapacity

Methods

toJSON :: DesiredWeightAndCapacity -> Value #

toEncoding :: DesiredWeightAndCapacity -> Encoding #

toJSONList :: [DesiredWeightAndCapacity] -> Value #

toEncodingList :: [DesiredWeightAndCapacity] -> Encoding #

Generic DesiredWeightAndCapacity Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DesiredWeightAndCapacity

Associated Types

type Rep DesiredWeightAndCapacity :: Type -> Type #

Methods

from :: DesiredWeightAndCapacity -> Rep DesiredWeightAndCapacity x #

to :: Rep DesiredWeightAndCapacity x -> DesiredWeightAndCapacity #

Read DesiredWeightAndCapacity Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DesiredWeightAndCapacity

Methods

readsPrec :: Int -> ReadS DesiredWeightAndCapacity #

readList :: ReadS [DesiredWeightAndCapacity] #

readPrec :: ReadPrec DesiredWeightAndCapacity #

readListPrec :: ReadPrec [DesiredWeightAndCapacity] #

Show DesiredWeightAndCapacity Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DesiredWeightAndCapacity

Methods

showsPrec :: Int -> DesiredWeightAndCapacity -> ShowS #

show :: DesiredWeightAndCapacity -> String #

showList :: [DesiredWeightAndCapacity] -> ShowS #

NFData DesiredWeightAndCapacity Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DesiredWeightAndCapacity

Methods

rnf :: DesiredWeightAndCapacity -> () #

Eq DesiredWeightAndCapacity Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DesiredWeightAndCapacity

Methods

(==) :: DesiredWeightAndCapacity -> DesiredWeightAndCapacity -> Bool #

(/=) :: DesiredWeightAndCapacity -> DesiredWeightAndCapacity -> Bool #

Hashable DesiredWeightAndCapacity Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DesiredWeightAndCapacity

Methods

hashWithSalt :: Int -> DesiredWeightAndCapacity -> Int #

hash :: DesiredWeightAndCapacity -> Int #

type Rep DesiredWeightAndCapacity Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DesiredWeightAndCapacity

type Rep DesiredWeightAndCapacity = D1 ('MetaData "DesiredWeightAndCapacity" "Amazonka.SageMaker.Types.DesiredWeightAndCapacity" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "DesiredWeightAndCapacity'" 'PrefixI 'True) (S1 ('MetaSel ('Just "desiredInstanceCount") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural)) :*: (S1 ('MetaSel ('Just "desiredWeight") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double)) :*: S1 ('MetaSel ('Just "variantName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text))))

newDesiredWeightAndCapacity Source #

Arguments

:: Text

$sel:variantName:DesiredWeightAndCapacity'

-> DesiredWeightAndCapacity 

Create a value of DesiredWeightAndCapacity with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:desiredInstanceCount:DesiredWeightAndCapacity', desiredWeightAndCapacity_desiredInstanceCount - The variant's capacity.

$sel:desiredWeight:DesiredWeightAndCapacity', desiredWeightAndCapacity_desiredWeight - The variant's weight.

$sel:variantName:DesiredWeightAndCapacity', desiredWeightAndCapacity_variantName - The name of the variant to update.

desiredWeightAndCapacity_desiredInstanceCount :: Lens' DesiredWeightAndCapacity (Maybe Natural) Source #

The variant's capacity.

desiredWeightAndCapacity_desiredWeight :: Lens' DesiredWeightAndCapacity (Maybe Double) Source #

The variant's weight.

desiredWeightAndCapacity_variantName :: Lens' DesiredWeightAndCapacity Text Source #

The name of the variant to update.

Device

data Device Source #

Information of a particular device.

See: newDevice smart constructor.

Constructors

Device' 

Fields

Instances

Instances details
ToJSON Device Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Device

Methods

toJSON :: Device -> Value #

toEncoding :: Device -> Encoding #

toJSONList :: [Device] -> Value #

toEncodingList :: [Device] -> Encoding #

Generic Device Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Device

Associated Types

type Rep Device :: Type -> Type #

Methods

from :: Device -> Rep Device x #

to :: Rep Device x -> Device #

Read Device Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Device

Methods

readsPrec :: Int -> ReadS Device #

readList :: ReadS [Device] #

readPrec :: ReadPrec Device #

readListPrec :: ReadPrec [Device] #

Show Device Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Device

Methods

showsPrec :: Int -> Device -> ShowS #

show :: Device -> String #

showList :: [Device] -> ShowS #

NFData Device Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Device

Methods

rnf :: Device -> () #

Eq Device Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Device

Methods

(==) :: Device -> Device -> Bool #

(/=) :: Device -> Device -> Bool #

Hashable Device Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Device

Methods

hashWithSalt :: Int -> Device -> Int #

hash :: Device -> Int #

type Rep Device Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Device

type Rep Device = D1 ('MetaData "Device" "Amazonka.SageMaker.Types.Device" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "Device'" 'PrefixI 'True) (S1 ('MetaSel ('Just "description") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: (S1 ('MetaSel ('Just "iotThingName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "deviceName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text))))

newDevice Source #

Arguments

:: Text

$sel:deviceName:Device'

-> Device 

Create a value of Device with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:description:Device', device_description - Description of the device.

$sel:iotThingName:Device', device_iotThingName - Amazon Web Services Internet of Things (IoT) object name.

$sel:deviceName:Device', device_deviceName - The name of the device.

device_description :: Lens' Device (Maybe Text) Source #

Description of the device.

device_iotThingName :: Lens' Device (Maybe Text) Source #

Amazon Web Services Internet of Things (IoT) object name.

device_deviceName :: Lens' Device Text Source #

The name of the device.

DeviceDeploymentSummary

data DeviceDeploymentSummary Source #

Contains information summarizing device details and deployment status.

See: newDeviceDeploymentSummary smart constructor.

Constructors

DeviceDeploymentSummary' 

Fields

Instances

Instances details
FromJSON DeviceDeploymentSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DeviceDeploymentSummary

Methods

parseJSON :: Value -> Parser DeviceDeploymentSummary #

parseJSONList :: Value -> Parser [DeviceDeploymentSummary] #

Generic DeviceDeploymentSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DeviceDeploymentSummary

Associated Types

type Rep DeviceDeploymentSummary :: Type -> Type #

Methods

from :: DeviceDeploymentSummary -> Rep DeviceDeploymentSummary x #

to :: Rep DeviceDeploymentSummary x -> DeviceDeploymentSummary #

Read DeviceDeploymentSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DeviceDeploymentSummary

Methods

readsPrec :: Int -> ReadS DeviceDeploymentSummary #

readList :: ReadS [DeviceDeploymentSummary] #

readPrec :: ReadPrec DeviceDeploymentSummary #

readListPrec :: ReadPrec [DeviceDeploymentSummary] #

Show DeviceDeploymentSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DeviceDeploymentSummary

Methods

showsPrec :: Int -> DeviceDeploymentSummary -> ShowS #

show :: DeviceDeploymentSummary -> String #

showList :: [DeviceDeploymentSummary] -> ShowS #

NFData DeviceDeploymentSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DeviceDeploymentSummary

Methods

rnf :: DeviceDeploymentSummary -> () #

Eq DeviceDeploymentSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DeviceDeploymentSummary

Methods

(==) :: DeviceDeploymentSummary -> DeviceDeploymentSummary -> Bool #

(/=) :: DeviceDeploymentSummary -> DeviceDeploymentSummary -> Bool #

Hashable DeviceDeploymentSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DeviceDeploymentSummary

Methods

hashWithSalt :: Int -> DeviceDeploymentSummary -> Int #

hash :: DeviceDeploymentSummary -> Int #

type Rep DeviceDeploymentSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DeviceDeploymentSummary

type Rep DeviceDeploymentSummary = D1 ('MetaData "DeviceDeploymentSummary" "Amazonka.SageMaker.Types.DeviceDeploymentSummary" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "DeviceDeploymentSummary'" 'PrefixI 'True) (((S1 ('MetaSel ('Just "deployedStageName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "deploymentStartTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX))) :*: (S1 ('MetaSel ('Just "description") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: (S1 ('MetaSel ('Just "deviceDeploymentStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe DeviceDeploymentStatus)) :*: S1 ('MetaSel ('Just "deviceDeploymentStatusMessage") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))) :*: ((S1 ('MetaSel ('Just "deviceFleetName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: (S1 ('MetaSel ('Just "edgeDeploymentPlanArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: S1 ('MetaSel ('Just "edgeDeploymentPlanName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text))) :*: (S1 ('MetaSel ('Just "stageName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: (S1 ('MetaSel ('Just "deviceName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: S1 ('MetaSel ('Just "deviceArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text))))))

newDeviceDeploymentSummary Source #

Arguments

:: Text

$sel:edgeDeploymentPlanArn:DeviceDeploymentSummary'

-> Text

$sel:edgeDeploymentPlanName:DeviceDeploymentSummary'

-> Text

$sel:stageName:DeviceDeploymentSummary'

-> Text

$sel:deviceName:DeviceDeploymentSummary'

-> Text

$sel:deviceArn:DeviceDeploymentSummary'

-> DeviceDeploymentSummary 

Create a value of DeviceDeploymentSummary with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:deployedStageName:DeviceDeploymentSummary', deviceDeploymentSummary_deployedStageName - The name of the deployed stage.

$sel:deploymentStartTime:DeviceDeploymentSummary', deviceDeploymentSummary_deploymentStartTime - The time when the deployment on the device started.

$sel:description:DeviceDeploymentSummary', deviceDeploymentSummary_description - The description of the device.

$sel:deviceDeploymentStatus:DeviceDeploymentSummary', deviceDeploymentSummary_deviceDeploymentStatus - The deployment status of the device.

$sel:deviceDeploymentStatusMessage:DeviceDeploymentSummary', deviceDeploymentSummary_deviceDeploymentStatusMessage - The detailed error message for the deployoment status result.

$sel:deviceFleetName:DeviceDeploymentSummary', deviceDeploymentSummary_deviceFleetName - The name of the fleet to which the device belongs to.

$sel:edgeDeploymentPlanArn:DeviceDeploymentSummary', deviceDeploymentSummary_edgeDeploymentPlanArn - The ARN of the edge deployment plan.

$sel:edgeDeploymentPlanName:DeviceDeploymentSummary', deviceDeploymentSummary_edgeDeploymentPlanName - The name of the edge deployment plan.

$sel:stageName:DeviceDeploymentSummary', deviceDeploymentSummary_stageName - The name of the stage in the edge deployment plan.

$sel:deviceName:DeviceDeploymentSummary', deviceDeploymentSummary_deviceName - The name of the device.

$sel:deviceArn:DeviceDeploymentSummary', deviceDeploymentSummary_deviceArn - The ARN of the device.

deviceDeploymentSummary_deployedStageName :: Lens' DeviceDeploymentSummary (Maybe Text) Source #

The name of the deployed stage.

deviceDeploymentSummary_deploymentStartTime :: Lens' DeviceDeploymentSummary (Maybe UTCTime) Source #

The time when the deployment on the device started.

deviceDeploymentSummary_description :: Lens' DeviceDeploymentSummary (Maybe Text) Source #

The description of the device.

deviceDeploymentSummary_deviceDeploymentStatus :: Lens' DeviceDeploymentSummary (Maybe DeviceDeploymentStatus) Source #

The deployment status of the device.

deviceDeploymentSummary_deviceDeploymentStatusMessage :: Lens' DeviceDeploymentSummary (Maybe Text) Source #

The detailed error message for the deployoment status result.

deviceDeploymentSummary_deviceFleetName :: Lens' DeviceDeploymentSummary (Maybe Text) Source #

The name of the fleet to which the device belongs to.

deviceDeploymentSummary_edgeDeploymentPlanArn :: Lens' DeviceDeploymentSummary Text Source #

The ARN of the edge deployment plan.

deviceDeploymentSummary_edgeDeploymentPlanName :: Lens' DeviceDeploymentSummary Text Source #

The name of the edge deployment plan.

deviceDeploymentSummary_stageName :: Lens' DeviceDeploymentSummary Text Source #

The name of the stage in the edge deployment plan.

deviceDeploymentSummary_deviceName :: Lens' DeviceDeploymentSummary Text Source #

The name of the device.

deviceDeploymentSummary_deviceArn :: Lens' DeviceDeploymentSummary Text Source #

The ARN of the device.

DeviceFleetSummary

data DeviceFleetSummary Source #

Summary of the device fleet.

See: newDeviceFleetSummary smart constructor.

Constructors

DeviceFleetSummary' 

Fields

Instances

Instances details
FromJSON DeviceFleetSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DeviceFleetSummary

Methods

parseJSON :: Value -> Parser DeviceFleetSummary #

parseJSONList :: Value -> Parser [DeviceFleetSummary] #

Generic DeviceFleetSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DeviceFleetSummary

Associated Types

type Rep DeviceFleetSummary :: Type -> Type #

Methods

from :: DeviceFleetSummary -> Rep DeviceFleetSummary x #

to :: Rep DeviceFleetSummary x -> DeviceFleetSummary #

Read DeviceFleetSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DeviceFleetSummary

Methods

readsPrec :: Int -> ReadS DeviceFleetSummary #

readList :: ReadS [DeviceFleetSummary] #

readPrec :: ReadPrec DeviceFleetSummary #

readListPrec :: ReadPrec [DeviceFleetSummary] #

Show DeviceFleetSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DeviceFleetSummary

Methods

showsPrec :: Int -> DeviceFleetSummary -> ShowS #

show :: DeviceFleetSummary -> String #

showList :: [DeviceFleetSummary] -> ShowS #

NFData DeviceFleetSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DeviceFleetSummary

Methods

rnf :: DeviceFleetSummary -> () #

Eq DeviceFleetSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DeviceFleetSummary

Methods

(==) :: DeviceFleetSummary -> DeviceFleetSummary -> Bool #

(/=) :: DeviceFleetSummary -> DeviceFleetSummary -> Bool #

Hashable DeviceFleetSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DeviceFleetSummary

Methods

hashWithSalt :: Int -> DeviceFleetSummary -> Int #

hash :: DeviceFleetSummary -> Int #

type Rep DeviceFleetSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DeviceFleetSummary

type Rep DeviceFleetSummary = D1 ('MetaData "DeviceFleetSummary" "Amazonka.SageMaker.Types.DeviceFleetSummary" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "DeviceFleetSummary'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "creationTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :*: S1 ('MetaSel ('Just "lastModifiedTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX))) :*: (S1 ('MetaSel ('Just "deviceFleetArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: S1 ('MetaSel ('Just "deviceFleetName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text))))

newDeviceFleetSummary Source #

Arguments

:: Text

$sel:deviceFleetArn:DeviceFleetSummary'

-> Text

$sel:deviceFleetName:DeviceFleetSummary'

-> DeviceFleetSummary 

Create a value of DeviceFleetSummary with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:creationTime:DeviceFleetSummary', deviceFleetSummary_creationTime - Timestamp of when the device fleet was created.

$sel:lastModifiedTime:DeviceFleetSummary', deviceFleetSummary_lastModifiedTime - Timestamp of when the device fleet was last updated.

$sel:deviceFleetArn:DeviceFleetSummary', deviceFleetSummary_deviceFleetArn - Amazon Resource Name (ARN) of the device fleet.

$sel:deviceFleetName:DeviceFleetSummary', deviceFleetSummary_deviceFleetName - Name of the device fleet.

deviceFleetSummary_creationTime :: Lens' DeviceFleetSummary (Maybe UTCTime) Source #

Timestamp of when the device fleet was created.

deviceFleetSummary_lastModifiedTime :: Lens' DeviceFleetSummary (Maybe UTCTime) Source #

Timestamp of when the device fleet was last updated.

deviceFleetSummary_deviceFleetArn :: Lens' DeviceFleetSummary Text Source #

Amazon Resource Name (ARN) of the device fleet.

deviceFleetSummary_deviceFleetName :: Lens' DeviceFleetSummary Text Source #

Name of the device fleet.

DeviceSelectionConfig

data DeviceSelectionConfig Source #

Contains information about the configurations of selected devices.

See: newDeviceSelectionConfig smart constructor.

Constructors

DeviceSelectionConfig' 

Fields

Instances

Instances details
FromJSON DeviceSelectionConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DeviceSelectionConfig

Methods

parseJSON :: Value -> Parser DeviceSelectionConfig #

parseJSONList :: Value -> Parser [DeviceSelectionConfig] #

ToJSON DeviceSelectionConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DeviceSelectionConfig

Methods

toJSON :: DeviceSelectionConfig -> Value #

toEncoding :: DeviceSelectionConfig -> Encoding #

toJSONList :: [DeviceSelectionConfig] -> Value #

toEncodingList :: [DeviceSelectionConfig] -> Encoding #

Generic DeviceSelectionConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DeviceSelectionConfig

Associated Types

type Rep DeviceSelectionConfig :: Type -> Type #

Methods

from :: DeviceSelectionConfig -> Rep DeviceSelectionConfig x #

to :: Rep DeviceSelectionConfig x -> DeviceSelectionConfig #

Read DeviceSelectionConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DeviceSelectionConfig

Methods

readsPrec :: Int -> ReadS DeviceSelectionConfig #

readList :: ReadS [DeviceSelectionConfig] #

readPrec :: ReadPrec DeviceSelectionConfig #

readListPrec :: ReadPrec [DeviceSelectionConfig] #

Show DeviceSelectionConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DeviceSelectionConfig

Methods

showsPrec :: Int -> DeviceSelectionConfig -> ShowS #

show :: DeviceSelectionConfig -> String #

showList :: [DeviceSelectionConfig] -> ShowS #

NFData DeviceSelectionConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DeviceSelectionConfig

Methods

rnf :: DeviceSelectionConfig -> () #

Eq DeviceSelectionConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DeviceSelectionConfig

Methods

(==) :: DeviceSelectionConfig -> DeviceSelectionConfig -> Bool #

(/=) :: DeviceSelectionConfig -> DeviceSelectionConfig -> Bool #

Hashable DeviceSelectionConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DeviceSelectionConfig

Methods

hashWithSalt :: Int -> DeviceSelectionConfig -> Int #

hash :: DeviceSelectionConfig -> Int #

type Rep DeviceSelectionConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DeviceSelectionConfig

type Rep DeviceSelectionConfig = D1 ('MetaData "DeviceSelectionConfig" "Amazonka.SageMaker.Types.DeviceSelectionConfig" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "DeviceSelectionConfig'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "deviceNameContains") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "deviceNames") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [Text]))) :*: (S1 ('MetaSel ('Just "percentage") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Int)) :*: S1 ('MetaSel ('Just "deviceSubsetType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 DeviceSubsetType))))

newDeviceSelectionConfig Source #

Arguments

:: DeviceSubsetType

$sel:deviceSubsetType:DeviceSelectionConfig'

-> DeviceSelectionConfig 

Create a value of DeviceSelectionConfig with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:deviceNameContains:DeviceSelectionConfig', deviceSelectionConfig_deviceNameContains - A filter to select devices with names containing this name.

$sel:deviceNames:DeviceSelectionConfig', deviceSelectionConfig_deviceNames - List of devices chosen to deploy.

$sel:percentage:DeviceSelectionConfig', deviceSelectionConfig_percentage - Percentage of devices in the fleet to deploy to the current stage.

$sel:deviceSubsetType:DeviceSelectionConfig', deviceSelectionConfig_deviceSubsetType - Type of device subsets to deploy to the current stage.

deviceSelectionConfig_deviceNameContains :: Lens' DeviceSelectionConfig (Maybe Text) Source #

A filter to select devices with names containing this name.

deviceSelectionConfig_deviceNames :: Lens' DeviceSelectionConfig (Maybe [Text]) Source #

List of devices chosen to deploy.

deviceSelectionConfig_percentage :: Lens' DeviceSelectionConfig (Maybe Int) Source #

Percentage of devices in the fleet to deploy to the current stage.

deviceSelectionConfig_deviceSubsetType :: Lens' DeviceSelectionConfig DeviceSubsetType Source #

Type of device subsets to deploy to the current stage.

DeviceStats

data DeviceStats Source #

Status of devices.

See: newDeviceStats smart constructor.

Constructors

DeviceStats' 

Fields

Instances

Instances details
FromJSON DeviceStats Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DeviceStats

Methods

parseJSON :: Value -> Parser DeviceStats #

parseJSONList :: Value -> Parser [DeviceStats] #

Generic DeviceStats Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DeviceStats

Associated Types

type Rep DeviceStats :: Type -> Type #

Methods

from :: DeviceStats -> Rep DeviceStats x #

to :: Rep DeviceStats x -> DeviceStats #

Read DeviceStats Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DeviceStats

Methods

readsPrec :: Int -> ReadS DeviceStats #

readList :: ReadS [DeviceStats] #

readPrec :: ReadPrec DeviceStats #

readListPrec :: ReadPrec [DeviceStats] #

Show DeviceStats Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DeviceStats

Methods

showsPrec :: Int -> DeviceStats -> ShowS #

show :: DeviceStats -> String #

showList :: [DeviceStats] -> ShowS #

NFData DeviceStats Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DeviceStats

Methods

rnf :: DeviceStats -> () #

Eq DeviceStats Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DeviceStats

Methods

(==) :: DeviceStats -> DeviceStats -> Bool #

(/=) :: DeviceStats -> DeviceStats -> Bool #

Hashable DeviceStats Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DeviceStats

Methods

hashWithSalt :: Int -> DeviceStats -> Int #

hash :: DeviceStats -> Int #

type Rep DeviceStats Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DeviceStats

type Rep DeviceStats = D1 ('MetaData "DeviceStats" "Amazonka.SageMaker.Types.DeviceStats" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "DeviceStats'" 'PrefixI 'True) (S1 ('MetaSel ('Just "connectedDeviceCount") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Integer) :*: S1 ('MetaSel ('Just "registeredDeviceCount") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Integer)))

newDeviceStats Source #

Arguments

:: Integer

$sel:connectedDeviceCount:DeviceStats'

-> Integer

$sel:registeredDeviceCount:DeviceStats'

-> DeviceStats 

Create a value of DeviceStats with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:connectedDeviceCount:DeviceStats', deviceStats_connectedDeviceCount - The number of devices connected with a heartbeat.

$sel:registeredDeviceCount:DeviceStats', deviceStats_registeredDeviceCount - The number of registered devices.

deviceStats_connectedDeviceCount :: Lens' DeviceStats Integer Source #

The number of devices connected with a heartbeat.

deviceStats_registeredDeviceCount :: Lens' DeviceStats Integer Source #

The number of registered devices.

DeviceSummary

data DeviceSummary Source #

Summary of the device.

See: newDeviceSummary smart constructor.

Constructors

DeviceSummary' 

Fields

Instances

Instances details
FromJSON DeviceSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DeviceSummary

Methods

parseJSON :: Value -> Parser DeviceSummary #

parseJSONList :: Value -> Parser [DeviceSummary] #

Generic DeviceSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DeviceSummary

Associated Types

type Rep DeviceSummary :: Type -> Type #

Methods

from :: DeviceSummary -> Rep DeviceSummary x #

to :: Rep DeviceSummary x -> DeviceSummary #

Read DeviceSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DeviceSummary

Methods

readsPrec :: Int -> ReadS DeviceSummary #

readList :: ReadS [DeviceSummary] #

readPrec :: ReadPrec DeviceSummary #

readListPrec :: ReadPrec [DeviceSummary] #

Show DeviceSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DeviceSummary

Methods

showsPrec :: Int -> DeviceSummary -> ShowS #

show :: DeviceSummary -> String #

showList :: [DeviceSummary] -> ShowS #

NFData DeviceSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DeviceSummary

Methods

rnf :: DeviceSummary -> () #

Eq DeviceSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DeviceSummary

Methods

(==) :: DeviceSummary -> DeviceSummary -> Bool #

(/=) :: DeviceSummary -> DeviceSummary -> Bool #

Hashable DeviceSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DeviceSummary

Methods

hashWithSalt :: Int -> DeviceSummary -> Int #

hash :: DeviceSummary -> Int #

type Rep DeviceSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DeviceSummary

type Rep DeviceSummary = D1 ('MetaData "DeviceSummary" "Amazonka.SageMaker.Types.DeviceSummary" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "DeviceSummary'" 'PrefixI 'True) (((S1 ('MetaSel ('Just "agentVersion") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "description") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))) :*: (S1 ('MetaSel ('Just "deviceFleetName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "iotThingName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))) :*: ((S1 ('MetaSel ('Just "latestHeartbeat") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :*: S1 ('MetaSel ('Just "models") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [EdgeModelSummary]))) :*: (S1 ('MetaSel ('Just "registrationTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :*: (S1 ('MetaSel ('Just "deviceName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: S1 ('MetaSel ('Just "deviceArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text))))))

newDeviceSummary Source #

Arguments

:: Text

$sel:deviceName:DeviceSummary'

-> Text

$sel:deviceArn:DeviceSummary'

-> DeviceSummary 

Create a value of DeviceSummary with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:agentVersion:DeviceSummary', deviceSummary_agentVersion - Edge Manager agent version.

$sel:description:DeviceSummary', deviceSummary_description - A description of the device.

$sel:deviceFleetName:DeviceSummary', deviceSummary_deviceFleetName - The name of the fleet the device belongs to.

$sel:iotThingName:DeviceSummary', deviceSummary_iotThingName - The Amazon Web Services Internet of Things (IoT) object thing name associated with the device..

$sel:latestHeartbeat:DeviceSummary', deviceSummary_latestHeartbeat - The last heartbeat received from the device.

$sel:models:DeviceSummary', deviceSummary_models - Models on the device.

$sel:registrationTime:DeviceSummary', deviceSummary_registrationTime - The timestamp of the last registration or de-reregistration.

$sel:deviceName:DeviceSummary', deviceSummary_deviceName - The unique identifier of the device.

$sel:deviceArn:DeviceSummary', deviceSummary_deviceArn - Amazon Resource Name (ARN) of the device.

deviceSummary_agentVersion :: Lens' DeviceSummary (Maybe Text) Source #

Edge Manager agent version.

deviceSummary_description :: Lens' DeviceSummary (Maybe Text) Source #

A description of the device.

deviceSummary_deviceFleetName :: Lens' DeviceSummary (Maybe Text) Source #

The name of the fleet the device belongs to.

deviceSummary_iotThingName :: Lens' DeviceSummary (Maybe Text) Source #

The Amazon Web Services Internet of Things (IoT) object thing name associated with the device..

deviceSummary_latestHeartbeat :: Lens' DeviceSummary (Maybe UTCTime) Source #

The last heartbeat received from the device.

deviceSummary_models :: Lens' DeviceSummary (Maybe [EdgeModelSummary]) Source #

Models on the device.

deviceSummary_registrationTime :: Lens' DeviceSummary (Maybe UTCTime) Source #

The timestamp of the last registration or de-reregistration.

deviceSummary_deviceName :: Lens' DeviceSummary Text Source #

The unique identifier of the device.

deviceSummary_deviceArn :: Lens' DeviceSummary Text Source #

Amazon Resource Name (ARN) of the device.

DomainDetails

data DomainDetails Source #

The domain's details.

See: newDomainDetails smart constructor.

Constructors

DomainDetails' 

Fields

Instances

Instances details
FromJSON DomainDetails Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DomainDetails

Methods

parseJSON :: Value -> Parser DomainDetails #

parseJSONList :: Value -> Parser [DomainDetails] #

Generic DomainDetails Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DomainDetails

Associated Types

type Rep DomainDetails :: Type -> Type #

Methods

from :: DomainDetails -> Rep DomainDetails x #

to :: Rep DomainDetails x -> DomainDetails #

Read DomainDetails Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DomainDetails

Methods

readsPrec :: Int -> ReadS DomainDetails #

readList :: ReadS [DomainDetails] #

readPrec :: ReadPrec DomainDetails #

readListPrec :: ReadPrec [DomainDetails] #

Show DomainDetails Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DomainDetails

Methods

showsPrec :: Int -> DomainDetails -> ShowS #

show :: DomainDetails -> String #

showList :: [DomainDetails] -> ShowS #

NFData DomainDetails Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DomainDetails

Methods

rnf :: DomainDetails -> () #

Eq DomainDetails Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DomainDetails

Methods

(==) :: DomainDetails -> DomainDetails -> Bool #

(/=) :: DomainDetails -> DomainDetails -> Bool #

Hashable DomainDetails Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DomainDetails

Methods

hashWithSalt :: Int -> DomainDetails -> Int #

hash :: DomainDetails -> Int #

type Rep DomainDetails Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DomainDetails

type Rep DomainDetails = D1 ('MetaData "DomainDetails" "Amazonka.SageMaker.Types.DomainDetails" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "DomainDetails'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "creationTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :*: (S1 ('MetaSel ('Just "domainArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "domainId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))) :*: ((S1 ('MetaSel ('Just "domainName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "lastModifiedTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX))) :*: (S1 ('MetaSel ('Just "status") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe DomainStatus)) :*: S1 ('MetaSel ('Just "url") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))))

newDomainDetails :: DomainDetails Source #

Create a value of DomainDetails with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:creationTime:DomainDetails', domainDetails_creationTime - The creation time.

$sel:domainArn:DomainDetails', domainDetails_domainArn - The domain's Amazon Resource Name (ARN).

$sel:domainId:DomainDetails', domainDetails_domainId - The domain ID.

$sel:domainName:DomainDetails', domainDetails_domainName - The domain name.

$sel:lastModifiedTime:DomainDetails', domainDetails_lastModifiedTime - The last modified time.

$sel:status:DomainDetails', domainDetails_status - The status.

$sel:url:DomainDetails', domainDetails_url - The domain's URL.

domainDetails_creationTime :: Lens' DomainDetails (Maybe UTCTime) Source #

The creation time.

domainDetails_domainArn :: Lens' DomainDetails (Maybe Text) Source #

The domain's Amazon Resource Name (ARN).

domainDetails_domainId :: Lens' DomainDetails (Maybe Text) Source #

The domain ID.

domainDetails_domainName :: Lens' DomainDetails (Maybe Text) Source #

The domain name.

domainDetails_lastModifiedTime :: Lens' DomainDetails (Maybe UTCTime) Source #

The last modified time.

domainDetails_status :: Lens' DomainDetails (Maybe DomainStatus) Source #

The status.

domainDetails_url :: Lens' DomainDetails (Maybe Text) Source #

The domain's URL.

DomainSettings

data DomainSettings Source #

A collection of settings that apply to the SageMaker Domain. These settings are specified through the CreateDomain API call.

See: newDomainSettings smart constructor.

Constructors

DomainSettings' 

Fields

Instances

Instances details
FromJSON DomainSettings Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DomainSettings

Methods

parseJSON :: Value -> Parser DomainSettings #

parseJSONList :: Value -> Parser [DomainSettings] #

ToJSON DomainSettings Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DomainSettings

Methods

toJSON :: DomainSettings -> Value #

toEncoding :: DomainSettings -> Encoding #

toJSONList :: [DomainSettings] -> Value #

toEncodingList :: [DomainSettings] -> Encoding #

Generic DomainSettings Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DomainSettings

Associated Types

type Rep DomainSettings :: Type -> Type #

Methods

from :: DomainSettings -> Rep DomainSettings x #

to :: Rep DomainSettings x -> DomainSettings #

Read DomainSettings Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DomainSettings

Methods

readsPrec :: Int -> ReadS DomainSettings #

readList :: ReadS [DomainSettings] #

readPrec :: ReadPrec DomainSettings #

readListPrec :: ReadPrec [DomainSettings] #

Show DomainSettings Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DomainSettings

Methods

showsPrec :: Int -> DomainSettings -> ShowS #

show :: DomainSettings -> String #

showList :: [DomainSettings] -> ShowS #

NFData DomainSettings Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DomainSettings

Methods

rnf :: DomainSettings -> () #

Eq DomainSettings Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DomainSettings

Methods

(==) :: DomainSettings -> DomainSettings -> Bool #

(/=) :: DomainSettings -> DomainSettings -> Bool #

Hashable DomainSettings Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DomainSettings

Methods

hashWithSalt :: Int -> DomainSettings -> Int #

hash :: DomainSettings -> Int #

type Rep DomainSettings Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DomainSettings

type Rep DomainSettings = D1 ('MetaData "DomainSettings" "Amazonka.SageMaker.Types.DomainSettings" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "DomainSettings'" 'PrefixI 'True) (S1 ('MetaSel ('Just "executionRoleIdentityConfig") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ExecutionRoleIdentityConfig)) :*: (S1 ('MetaSel ('Just "rStudioServerProDomainSettings") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe RStudioServerProDomainSettings)) :*: S1 ('MetaSel ('Just "securityGroupIds") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [Text])))))

newDomainSettings :: DomainSettings Source #

Create a value of DomainSettings with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:executionRoleIdentityConfig:DomainSettings', domainSettings_executionRoleIdentityConfig - The configuration for attaching a SageMaker user profile name to the execution role as a sts:SourceIdentity key.

$sel:rStudioServerProDomainSettings:DomainSettings', domainSettings_rStudioServerProDomainSettings - A collection of settings that configure the RStudioServerPro Domain-level app.

$sel:securityGroupIds:DomainSettings', domainSettings_securityGroupIds - The security groups for the Amazon Virtual Private Cloud that the Domain uses for communication between Domain-level apps and user apps.

domainSettings_executionRoleIdentityConfig :: Lens' DomainSettings (Maybe ExecutionRoleIdentityConfig) Source #

The configuration for attaching a SageMaker user profile name to the execution role as a sts:SourceIdentity key.

domainSettings_rStudioServerProDomainSettings :: Lens' DomainSettings (Maybe RStudioServerProDomainSettings) Source #

A collection of settings that configure the RStudioServerPro Domain-level app.

domainSettings_securityGroupIds :: Lens' DomainSettings (Maybe [Text]) Source #

The security groups for the Amazon Virtual Private Cloud that the Domain uses for communication between Domain-level apps and user apps.

DomainSettingsForUpdate

data DomainSettingsForUpdate Source #

A collection of Domain configuration settings to update.

See: newDomainSettingsForUpdate smart constructor.

Constructors

DomainSettingsForUpdate' 

Fields

Instances

Instances details
ToJSON DomainSettingsForUpdate Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DomainSettingsForUpdate

Methods

toJSON :: DomainSettingsForUpdate -> Value #

toEncoding :: DomainSettingsForUpdate -> Encoding #

toJSONList :: [DomainSettingsForUpdate] -> Value #

toEncodingList :: [DomainSettingsForUpdate] -> Encoding #

Generic DomainSettingsForUpdate Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DomainSettingsForUpdate

Associated Types

type Rep DomainSettingsForUpdate :: Type -> Type #

Methods

from :: DomainSettingsForUpdate -> Rep DomainSettingsForUpdate x #

to :: Rep DomainSettingsForUpdate x -> DomainSettingsForUpdate #

Read DomainSettingsForUpdate Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DomainSettingsForUpdate

Methods

readsPrec :: Int -> ReadS DomainSettingsForUpdate #

readList :: ReadS [DomainSettingsForUpdate] #

readPrec :: ReadPrec DomainSettingsForUpdate #

readListPrec :: ReadPrec [DomainSettingsForUpdate] #

Show DomainSettingsForUpdate Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DomainSettingsForUpdate

Methods

showsPrec :: Int -> DomainSettingsForUpdate -> ShowS #

show :: DomainSettingsForUpdate -> String #

showList :: [DomainSettingsForUpdate] -> ShowS #

NFData DomainSettingsForUpdate Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DomainSettingsForUpdate

Methods

rnf :: DomainSettingsForUpdate -> () #

Eq DomainSettingsForUpdate Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DomainSettingsForUpdate

Methods

(==) :: DomainSettingsForUpdate -> DomainSettingsForUpdate -> Bool #

(/=) :: DomainSettingsForUpdate -> DomainSettingsForUpdate -> Bool #

Hashable DomainSettingsForUpdate Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DomainSettingsForUpdate

Methods

hashWithSalt :: Int -> DomainSettingsForUpdate -> Int #

hash :: DomainSettingsForUpdate -> Int #

type Rep DomainSettingsForUpdate Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DomainSettingsForUpdate

type Rep DomainSettingsForUpdate = D1 ('MetaData "DomainSettingsForUpdate" "Amazonka.SageMaker.Types.DomainSettingsForUpdate" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "DomainSettingsForUpdate'" 'PrefixI 'True) (S1 ('MetaSel ('Just "executionRoleIdentityConfig") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ExecutionRoleIdentityConfig)) :*: (S1 ('MetaSel ('Just "rStudioServerProDomainSettingsForUpdate") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe RStudioServerProDomainSettingsForUpdate)) :*: S1 ('MetaSel ('Just "securityGroupIds") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [Text])))))

newDomainSettingsForUpdate :: DomainSettingsForUpdate Source #

Create a value of DomainSettingsForUpdate with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:executionRoleIdentityConfig:DomainSettingsForUpdate', domainSettingsForUpdate_executionRoleIdentityConfig - The configuration for attaching a SageMaker user profile name to the execution role as a sts:SourceIdentity key. This configuration can only be modified if there are no apps in the InService or Pending state.

$sel:rStudioServerProDomainSettingsForUpdate:DomainSettingsForUpdate', domainSettingsForUpdate_rStudioServerProDomainSettingsForUpdate - A collection of RStudioServerPro Domain-level app settings to update.

$sel:securityGroupIds:DomainSettingsForUpdate', domainSettingsForUpdate_securityGroupIds - The security groups for the Amazon Virtual Private Cloud that the Domain uses for communication between Domain-level apps and user apps.

domainSettingsForUpdate_executionRoleIdentityConfig :: Lens' DomainSettingsForUpdate (Maybe ExecutionRoleIdentityConfig) Source #

The configuration for attaching a SageMaker user profile name to the execution role as a sts:SourceIdentity key. This configuration can only be modified if there are no apps in the InService or Pending state.

domainSettingsForUpdate_rStudioServerProDomainSettingsForUpdate :: Lens' DomainSettingsForUpdate (Maybe RStudioServerProDomainSettingsForUpdate) Source #

A collection of RStudioServerPro Domain-level app settings to update.

domainSettingsForUpdate_securityGroupIds :: Lens' DomainSettingsForUpdate (Maybe [Text]) Source #

The security groups for the Amazon Virtual Private Cloud that the Domain uses for communication between Domain-level apps and user apps.

DriftCheckBaselines

data DriftCheckBaselines Source #

Represents the drift check baselines that can be used when the model monitor is set using the model package.

See: newDriftCheckBaselines smart constructor.

Constructors

DriftCheckBaselines' 

Fields

Instances

Instances details
FromJSON DriftCheckBaselines Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DriftCheckBaselines

Methods

parseJSON :: Value -> Parser DriftCheckBaselines #

parseJSONList :: Value -> Parser [DriftCheckBaselines] #

ToJSON DriftCheckBaselines Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DriftCheckBaselines

Methods

toJSON :: DriftCheckBaselines -> Value #

toEncoding :: DriftCheckBaselines -> Encoding #

toJSONList :: [DriftCheckBaselines] -> Value #

toEncodingList :: [DriftCheckBaselines] -> Encoding #

Generic DriftCheckBaselines Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DriftCheckBaselines

Associated Types

type Rep DriftCheckBaselines :: Type -> Type #

Methods

from :: DriftCheckBaselines -> Rep DriftCheckBaselines x #

to :: Rep DriftCheckBaselines x -> DriftCheckBaselines #

Read DriftCheckBaselines Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DriftCheckBaselines

Methods

readsPrec :: Int -> ReadS DriftCheckBaselines #

readList :: ReadS [DriftCheckBaselines] #

readPrec :: ReadPrec DriftCheckBaselines #

readListPrec :: ReadPrec [DriftCheckBaselines] #

Show DriftCheckBaselines Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DriftCheckBaselines

Methods

showsPrec :: Int -> DriftCheckBaselines -> ShowS #

show :: DriftCheckBaselines -> String #

showList :: [DriftCheckBaselines] -> ShowS #

NFData DriftCheckBaselines Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DriftCheckBaselines

Methods

rnf :: DriftCheckBaselines -> () #

Eq DriftCheckBaselines Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DriftCheckBaselines

Methods

(==) :: DriftCheckBaselines -> DriftCheckBaselines -> Bool #

(/=) :: DriftCheckBaselines -> DriftCheckBaselines -> Bool #

Hashable DriftCheckBaselines Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DriftCheckBaselines

Methods

hashWithSalt :: Int -> DriftCheckBaselines -> Int #

hash :: DriftCheckBaselines -> Int #

type Rep DriftCheckBaselines Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DriftCheckBaselines

type Rep DriftCheckBaselines = D1 ('MetaData "DriftCheckBaselines" "Amazonka.SageMaker.Types.DriftCheckBaselines" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "DriftCheckBaselines'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "bias") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe DriftCheckBias)) :*: S1 ('MetaSel ('Just "explainability") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe DriftCheckExplainability))) :*: (S1 ('MetaSel ('Just "modelDataQuality") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe DriftCheckModelDataQuality)) :*: S1 ('MetaSel ('Just "modelQuality") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe DriftCheckModelQuality)))))

newDriftCheckBaselines :: DriftCheckBaselines Source #

Create a value of DriftCheckBaselines with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:bias:DriftCheckBaselines', driftCheckBaselines_bias - Represents the drift check bias baselines that can be used when the model monitor is set using the model package.

$sel:explainability:DriftCheckBaselines', driftCheckBaselines_explainability - Represents the drift check explainability baselines that can be used when the model monitor is set using the model package.

$sel:modelDataQuality:DriftCheckBaselines', driftCheckBaselines_modelDataQuality - Represents the drift check model data quality baselines that can be used when the model monitor is set using the model package.

$sel:modelQuality:DriftCheckBaselines', driftCheckBaselines_modelQuality - Represents the drift check model quality baselines that can be used when the model monitor is set using the model package.

driftCheckBaselines_bias :: Lens' DriftCheckBaselines (Maybe DriftCheckBias) Source #

Represents the drift check bias baselines that can be used when the model monitor is set using the model package.

driftCheckBaselines_explainability :: Lens' DriftCheckBaselines (Maybe DriftCheckExplainability) Source #

Represents the drift check explainability baselines that can be used when the model monitor is set using the model package.

driftCheckBaselines_modelDataQuality :: Lens' DriftCheckBaselines (Maybe DriftCheckModelDataQuality) Source #

Represents the drift check model data quality baselines that can be used when the model monitor is set using the model package.

driftCheckBaselines_modelQuality :: Lens' DriftCheckBaselines (Maybe DriftCheckModelQuality) Source #

Represents the drift check model quality baselines that can be used when the model monitor is set using the model package.

DriftCheckBias

data DriftCheckBias Source #

Represents the drift check bias baselines that can be used when the model monitor is set using the model package.

See: newDriftCheckBias smart constructor.

Constructors

DriftCheckBias' 

Fields

Instances

Instances details
FromJSON DriftCheckBias Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DriftCheckBias

Methods

parseJSON :: Value -> Parser DriftCheckBias #

parseJSONList :: Value -> Parser [DriftCheckBias] #

ToJSON DriftCheckBias Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DriftCheckBias

Methods

toJSON :: DriftCheckBias -> Value #

toEncoding :: DriftCheckBias -> Encoding #

toJSONList :: [DriftCheckBias] -> Value #

toEncodingList :: [DriftCheckBias] -> Encoding #

Generic DriftCheckBias Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DriftCheckBias

Associated Types

type Rep DriftCheckBias :: Type -> Type #

Methods

from :: DriftCheckBias -> Rep DriftCheckBias x #

to :: Rep DriftCheckBias x -> DriftCheckBias #

Read DriftCheckBias Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DriftCheckBias

Methods

readsPrec :: Int -> ReadS DriftCheckBias #

readList :: ReadS [DriftCheckBias] #

readPrec :: ReadPrec DriftCheckBias #

readListPrec :: ReadPrec [DriftCheckBias] #

Show DriftCheckBias Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DriftCheckBias

Methods

showsPrec :: Int -> DriftCheckBias -> ShowS #

show :: DriftCheckBias -> String #

showList :: [DriftCheckBias] -> ShowS #

NFData DriftCheckBias Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DriftCheckBias

Methods

rnf :: DriftCheckBias -> () #

Eq DriftCheckBias Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DriftCheckBias

Methods

(==) :: DriftCheckBias -> DriftCheckBias -> Bool #

(/=) :: DriftCheckBias -> DriftCheckBias -> Bool #

Hashable DriftCheckBias Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DriftCheckBias

Methods

hashWithSalt :: Int -> DriftCheckBias -> Int #

hash :: DriftCheckBias -> Int #

type Rep DriftCheckBias Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DriftCheckBias

type Rep DriftCheckBias = D1 ('MetaData "DriftCheckBias" "Amazonka.SageMaker.Types.DriftCheckBias" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "DriftCheckBias'" 'PrefixI 'True) (S1 ('MetaSel ('Just "configFile") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe FileSource)) :*: (S1 ('MetaSel ('Just "postTrainingConstraints") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe MetricsSource)) :*: S1 ('MetaSel ('Just "preTrainingConstraints") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe MetricsSource)))))

newDriftCheckBias :: DriftCheckBias Source #

Create a value of DriftCheckBias with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:configFile:DriftCheckBias', driftCheckBias_configFile - The bias config file for a model.

$sel:postTrainingConstraints:DriftCheckBias', driftCheckBias_postTrainingConstraints - The post-training constraints.

$sel:preTrainingConstraints:DriftCheckBias', driftCheckBias_preTrainingConstraints - The pre-training constraints.

driftCheckBias_configFile :: Lens' DriftCheckBias (Maybe FileSource) Source #

The bias config file for a model.

driftCheckBias_postTrainingConstraints :: Lens' DriftCheckBias (Maybe MetricsSource) Source #

The post-training constraints.

driftCheckBias_preTrainingConstraints :: Lens' DriftCheckBias (Maybe MetricsSource) Source #

The pre-training constraints.

DriftCheckExplainability

data DriftCheckExplainability Source #

Represents the drift check explainability baselines that can be used when the model monitor is set using the model package.

See: newDriftCheckExplainability smart constructor.

Constructors

DriftCheckExplainability' 

Fields

Instances

Instances details
FromJSON DriftCheckExplainability Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DriftCheckExplainability

Methods

parseJSON :: Value -> Parser DriftCheckExplainability #

parseJSONList :: Value -> Parser [DriftCheckExplainability] #

ToJSON DriftCheckExplainability Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DriftCheckExplainability

Methods

toJSON :: DriftCheckExplainability -> Value #

toEncoding :: DriftCheckExplainability -> Encoding #

toJSONList :: [DriftCheckExplainability] -> Value #

toEncodingList :: [DriftCheckExplainability] -> Encoding #

Generic DriftCheckExplainability Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DriftCheckExplainability

Associated Types

type Rep DriftCheckExplainability :: Type -> Type #

Methods

from :: DriftCheckExplainability -> Rep DriftCheckExplainability x #

to :: Rep DriftCheckExplainability x -> DriftCheckExplainability #

Read DriftCheckExplainability Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DriftCheckExplainability

Methods

readsPrec :: Int -> ReadS DriftCheckExplainability #

readList :: ReadS [DriftCheckExplainability] #

readPrec :: ReadPrec DriftCheckExplainability #

readListPrec :: ReadPrec [DriftCheckExplainability] #

Show DriftCheckExplainability Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DriftCheckExplainability

Methods

showsPrec :: Int -> DriftCheckExplainability -> ShowS #

show :: DriftCheckExplainability -> String #

showList :: [DriftCheckExplainability] -> ShowS #

NFData DriftCheckExplainability Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DriftCheckExplainability

Methods

rnf :: DriftCheckExplainability -> () #

Eq DriftCheckExplainability Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DriftCheckExplainability

Methods

(==) :: DriftCheckExplainability -> DriftCheckExplainability -> Bool #

(/=) :: DriftCheckExplainability -> DriftCheckExplainability -> Bool #

Hashable DriftCheckExplainability Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DriftCheckExplainability

Methods

hashWithSalt :: Int -> DriftCheckExplainability -> Int #

hash :: DriftCheckExplainability -> Int #

type Rep DriftCheckExplainability Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DriftCheckExplainability

type Rep DriftCheckExplainability = D1 ('MetaData "DriftCheckExplainability" "Amazonka.SageMaker.Types.DriftCheckExplainability" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "DriftCheckExplainability'" 'PrefixI 'True) (S1 ('MetaSel ('Just "configFile") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe FileSource)) :*: S1 ('MetaSel ('Just "constraints") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe MetricsSource))))

newDriftCheckExplainability :: DriftCheckExplainability Source #

Create a value of DriftCheckExplainability with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:configFile:DriftCheckExplainability', driftCheckExplainability_configFile - The explainability config file for the model.

$sel:constraints:DriftCheckExplainability', driftCheckExplainability_constraints - The drift check explainability constraints.

driftCheckExplainability_configFile :: Lens' DriftCheckExplainability (Maybe FileSource) Source #

The explainability config file for the model.

driftCheckExplainability_constraints :: Lens' DriftCheckExplainability (Maybe MetricsSource) Source #

The drift check explainability constraints.

DriftCheckModelDataQuality

data DriftCheckModelDataQuality Source #

Represents the drift check data quality baselines that can be used when the model monitor is set using the model package.

See: newDriftCheckModelDataQuality smart constructor.

Constructors

DriftCheckModelDataQuality' 

Fields

Instances

Instances details
FromJSON DriftCheckModelDataQuality Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DriftCheckModelDataQuality

Methods

parseJSON :: Value -> Parser DriftCheckModelDataQuality #

parseJSONList :: Value -> Parser [DriftCheckModelDataQuality] #

ToJSON DriftCheckModelDataQuality Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DriftCheckModelDataQuality

Methods

toJSON :: DriftCheckModelDataQuality -> Value #

toEncoding :: DriftCheckModelDataQuality -> Encoding #

toJSONList :: [DriftCheckModelDataQuality] -> Value #

toEncodingList :: [DriftCheckModelDataQuality] -> Encoding #

Generic DriftCheckModelDataQuality Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DriftCheckModelDataQuality

Associated Types

type Rep DriftCheckModelDataQuality :: Type -> Type #

Methods

from :: DriftCheckModelDataQuality -> Rep DriftCheckModelDataQuality x #

to :: Rep DriftCheckModelDataQuality x -> DriftCheckModelDataQuality #

Read DriftCheckModelDataQuality Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DriftCheckModelDataQuality

Methods

readsPrec :: Int -> ReadS DriftCheckModelDataQuality #

readList :: ReadS [DriftCheckModelDataQuality] #

readPrec :: ReadPrec DriftCheckModelDataQuality #

readListPrec :: ReadPrec [DriftCheckModelDataQuality] #

Show DriftCheckModelDataQuality Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DriftCheckModelDataQuality

Methods

showsPrec :: Int -> DriftCheckModelDataQuality -> ShowS #

show :: DriftCheckModelDataQuality -> String #

showList :: [DriftCheckModelDataQuality] -> ShowS #

NFData DriftCheckModelDataQuality Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DriftCheckModelDataQuality

Methods

rnf :: DriftCheckModelDataQuality -> () #

Eq DriftCheckModelDataQuality Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DriftCheckModelDataQuality

Methods

(==) :: DriftCheckModelDataQuality -> DriftCheckModelDataQuality -> Bool #

(/=) :: DriftCheckModelDataQuality -> DriftCheckModelDataQuality -> Bool #

Hashable DriftCheckModelDataQuality Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DriftCheckModelDataQuality

Methods

hashWithSalt :: Int -> DriftCheckModelDataQuality -> Int #

hash :: DriftCheckModelDataQuality -> Int #

type Rep DriftCheckModelDataQuality Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DriftCheckModelDataQuality

type Rep DriftCheckModelDataQuality = D1 ('MetaData "DriftCheckModelDataQuality" "Amazonka.SageMaker.Types.DriftCheckModelDataQuality" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "DriftCheckModelDataQuality'" 'PrefixI 'True) (S1 ('MetaSel ('Just "constraints") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe MetricsSource)) :*: S1 ('MetaSel ('Just "statistics") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe MetricsSource))))

newDriftCheckModelDataQuality :: DriftCheckModelDataQuality Source #

Create a value of DriftCheckModelDataQuality with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:constraints:DriftCheckModelDataQuality', driftCheckModelDataQuality_constraints - The drift check model data quality constraints.

$sel:statistics:DriftCheckModelDataQuality', driftCheckModelDataQuality_statistics - The drift check model data quality statistics.

driftCheckModelDataQuality_constraints :: Lens' DriftCheckModelDataQuality (Maybe MetricsSource) Source #

The drift check model data quality constraints.

driftCheckModelDataQuality_statistics :: Lens' DriftCheckModelDataQuality (Maybe MetricsSource) Source #

The drift check model data quality statistics.

DriftCheckModelQuality

data DriftCheckModelQuality Source #

Represents the drift check model quality baselines that can be used when the model monitor is set using the model package.

See: newDriftCheckModelQuality smart constructor.

Constructors

DriftCheckModelQuality' 

Fields

Instances

Instances details
FromJSON DriftCheckModelQuality Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DriftCheckModelQuality

Methods

parseJSON :: Value -> Parser DriftCheckModelQuality #

parseJSONList :: Value -> Parser [DriftCheckModelQuality] #

ToJSON DriftCheckModelQuality Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DriftCheckModelQuality

Methods

toJSON :: DriftCheckModelQuality -> Value #

toEncoding :: DriftCheckModelQuality -> Encoding #

toJSONList :: [DriftCheckModelQuality] -> Value #

toEncodingList :: [DriftCheckModelQuality] -> Encoding #

Generic DriftCheckModelQuality Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DriftCheckModelQuality

Associated Types

type Rep DriftCheckModelQuality :: Type -> Type #

Methods

from :: DriftCheckModelQuality -> Rep DriftCheckModelQuality x #

to :: Rep DriftCheckModelQuality x -> DriftCheckModelQuality #

Read DriftCheckModelQuality Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DriftCheckModelQuality

Methods

readsPrec :: Int -> ReadS DriftCheckModelQuality #

readList :: ReadS [DriftCheckModelQuality] #

readPrec :: ReadPrec DriftCheckModelQuality #

readListPrec :: ReadPrec [DriftCheckModelQuality] #

Show DriftCheckModelQuality Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DriftCheckModelQuality

Methods

showsPrec :: Int -> DriftCheckModelQuality -> ShowS #

show :: DriftCheckModelQuality -> String #

showList :: [DriftCheckModelQuality] -> ShowS #

NFData DriftCheckModelQuality Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DriftCheckModelQuality

Methods

rnf :: DriftCheckModelQuality -> () #

Eq DriftCheckModelQuality Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DriftCheckModelQuality

Methods

(==) :: DriftCheckModelQuality -> DriftCheckModelQuality -> Bool #

(/=) :: DriftCheckModelQuality -> DriftCheckModelQuality -> Bool #

Hashable DriftCheckModelQuality Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DriftCheckModelQuality

Methods

hashWithSalt :: Int -> DriftCheckModelQuality -> Int #

hash :: DriftCheckModelQuality -> Int #

type Rep DriftCheckModelQuality Source # 
Instance details

Defined in Amazonka.SageMaker.Types.DriftCheckModelQuality

type Rep DriftCheckModelQuality = D1 ('MetaData "DriftCheckModelQuality" "Amazonka.SageMaker.Types.DriftCheckModelQuality" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "DriftCheckModelQuality'" 'PrefixI 'True) (S1 ('MetaSel ('Just "constraints") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe MetricsSource)) :*: S1 ('MetaSel ('Just "statistics") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe MetricsSource))))

newDriftCheckModelQuality :: DriftCheckModelQuality Source #

Create a value of DriftCheckModelQuality with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:constraints:DriftCheckModelQuality', driftCheckModelQuality_constraints - The drift check model quality constraints.

$sel:statistics:DriftCheckModelQuality', driftCheckModelQuality_statistics - The drift check model quality statistics.

driftCheckModelQuality_constraints :: Lens' DriftCheckModelQuality (Maybe MetricsSource) Source #

The drift check model quality constraints.

driftCheckModelQuality_statistics :: Lens' DriftCheckModelQuality (Maybe MetricsSource) Source #

The drift check model quality statistics.

EMRStepMetadata

data EMRStepMetadata Source #

The configurations and outcomes of an Amazon EMR step execution.

See: newEMRStepMetadata smart constructor.

Constructors

EMRStepMetadata' 

Fields

Instances

Instances details
FromJSON EMRStepMetadata Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EMRStepMetadata

Methods

parseJSON :: Value -> Parser EMRStepMetadata #

parseJSONList :: Value -> Parser [EMRStepMetadata] #

Generic EMRStepMetadata Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EMRStepMetadata

Associated Types

type Rep EMRStepMetadata :: Type -> Type #

Methods

from :: EMRStepMetadata -> Rep EMRStepMetadata x #

to :: Rep EMRStepMetadata x -> EMRStepMetadata #

Read EMRStepMetadata Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EMRStepMetadata

Methods

readsPrec :: Int -> ReadS EMRStepMetadata #

readList :: ReadS [EMRStepMetadata] #

readPrec :: ReadPrec EMRStepMetadata #

readListPrec :: ReadPrec [EMRStepMetadata] #

Show EMRStepMetadata Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EMRStepMetadata

Methods

showsPrec :: Int -> EMRStepMetadata -> ShowS #

show :: EMRStepMetadata -> String #

showList :: [EMRStepMetadata] -> ShowS #

NFData EMRStepMetadata Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EMRStepMetadata

Methods

rnf :: EMRStepMetadata -> () #

Eq EMRStepMetadata Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EMRStepMetadata

Methods

(==) :: EMRStepMetadata -> EMRStepMetadata -> Bool #

(/=) :: EMRStepMetadata -> EMRStepMetadata -> Bool #

Hashable EMRStepMetadata Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EMRStepMetadata

Methods

hashWithSalt :: Int -> EMRStepMetadata -> Int #

hash :: EMRStepMetadata -> Int #

type Rep EMRStepMetadata Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EMRStepMetadata

type Rep EMRStepMetadata = D1 ('MetaData "EMRStepMetadata" "Amazonka.SageMaker.Types.EMRStepMetadata" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "EMRStepMetadata'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "clusterId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "logFilePath") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))) :*: (S1 ('MetaSel ('Just "stepId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "stepName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))))

newEMRStepMetadata :: EMRStepMetadata Source #

Create a value of EMRStepMetadata with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:clusterId:EMRStepMetadata', eMRStepMetadata_clusterId - The identifier of the EMR cluster.

$sel:logFilePath:EMRStepMetadata', eMRStepMetadata_logFilePath - The path to the log file where the cluster step's failure root cause is recorded.

$sel:stepId:EMRStepMetadata', eMRStepMetadata_stepId - The identifier of the EMR cluster step.

$sel:stepName:EMRStepMetadata', eMRStepMetadata_stepName - The name of the EMR cluster step.

eMRStepMetadata_clusterId :: Lens' EMRStepMetadata (Maybe Text) Source #

The identifier of the EMR cluster.

eMRStepMetadata_logFilePath :: Lens' EMRStepMetadata (Maybe Text) Source #

The path to the log file where the cluster step's failure root cause is recorded.

eMRStepMetadata_stepId :: Lens' EMRStepMetadata (Maybe Text) Source #

The identifier of the EMR cluster step.

eMRStepMetadata_stepName :: Lens' EMRStepMetadata (Maybe Text) Source #

The name of the EMR cluster step.

Edge

data Edge Source #

A directed edge connecting two lineage entities.

See: newEdge smart constructor.

Constructors

Edge' 

Fields

Instances

Instances details
FromJSON Edge Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Edge

Methods

parseJSON :: Value -> Parser Edge #

parseJSONList :: Value -> Parser [Edge] #

Generic Edge Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Edge

Associated Types

type Rep Edge :: Type -> Type #

Methods

from :: Edge -> Rep Edge x #

to :: Rep Edge x -> Edge #

Read Edge Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Edge

Methods

readsPrec :: Int -> ReadS Edge #

readList :: ReadS [Edge] #

readPrec :: ReadPrec Edge #

readListPrec :: ReadPrec [Edge] #

Show Edge Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Edge

Methods

showsPrec :: Int -> Edge -> ShowS #

show :: Edge -> String #

showList :: [Edge] -> ShowS #

NFData Edge Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Edge

Methods

rnf :: Edge -> () #

Eq Edge Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Edge

Methods

(==) :: Edge -> Edge -> Bool #

(/=) :: Edge -> Edge -> Bool #

Hashable Edge Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Edge

Methods

hashWithSalt :: Int -> Edge -> Int #

hash :: Edge -> Int #

type Rep Edge Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Edge

type Rep Edge = D1 ('MetaData "Edge" "Amazonka.SageMaker.Types.Edge" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "Edge'" 'PrefixI 'True) (S1 ('MetaSel ('Just "associationType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe AssociationEdgeType)) :*: (S1 ('MetaSel ('Just "destinationArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "sourceArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))))

newEdge :: Edge Source #

Create a value of Edge with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:associationType:Edge', edge_associationType - The type of the Association(Edge) between the source and destination. For example ContributedTo, Produced, or DerivedFrom.

$sel:destinationArn:Edge', edge_destinationArn - The Amazon Resource Name (ARN) of the destination lineage entity of the directed edge.

$sel:sourceArn:Edge', edge_sourceArn - The Amazon Resource Name (ARN) of the source lineage entity of the directed edge.

edge_associationType :: Lens' Edge (Maybe AssociationEdgeType) Source #

The type of the Association(Edge) between the source and destination. For example ContributedTo, Produced, or DerivedFrom.

edge_destinationArn :: Lens' Edge (Maybe Text) Source #

The Amazon Resource Name (ARN) of the destination lineage entity of the directed edge.

edge_sourceArn :: Lens' Edge (Maybe Text) Source #

The Amazon Resource Name (ARN) of the source lineage entity of the directed edge.

EdgeDeploymentConfig

data EdgeDeploymentConfig Source #

Contains information about the configuration of a deployment.

See: newEdgeDeploymentConfig smart constructor.

Constructors

EdgeDeploymentConfig' 

Fields

  • failureHandlingPolicy :: FailureHandlingPolicy

    Toggle that determines whether to rollback to previous configuration if the current deployment fails. By default this is turned on. You may turn this off if you want to investigate the errors yourself.

Instances

Instances details
FromJSON EdgeDeploymentConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EdgeDeploymentConfig

Methods

parseJSON :: Value -> Parser EdgeDeploymentConfig #

parseJSONList :: Value -> Parser [EdgeDeploymentConfig] #

ToJSON EdgeDeploymentConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EdgeDeploymentConfig

Methods

toJSON :: EdgeDeploymentConfig -> Value #

toEncoding :: EdgeDeploymentConfig -> Encoding #

toJSONList :: [EdgeDeploymentConfig] -> Value #

toEncodingList :: [EdgeDeploymentConfig] -> Encoding #

Generic EdgeDeploymentConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EdgeDeploymentConfig

Associated Types

type Rep EdgeDeploymentConfig :: Type -> Type #

Methods

from :: EdgeDeploymentConfig -> Rep EdgeDeploymentConfig x #

to :: Rep EdgeDeploymentConfig x -> EdgeDeploymentConfig #

Read EdgeDeploymentConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EdgeDeploymentConfig

Methods

readsPrec :: Int -> ReadS EdgeDeploymentConfig #

readList :: ReadS [EdgeDeploymentConfig] #

readPrec :: ReadPrec EdgeDeploymentConfig #

readListPrec :: ReadPrec [EdgeDeploymentConfig] #

Show EdgeDeploymentConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EdgeDeploymentConfig

Methods

showsPrec :: Int -> EdgeDeploymentConfig -> ShowS #

show :: EdgeDeploymentConfig -> String #

showList :: [EdgeDeploymentConfig] -> ShowS #

NFData EdgeDeploymentConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EdgeDeploymentConfig

Methods

rnf :: EdgeDeploymentConfig -> () #

Eq EdgeDeploymentConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EdgeDeploymentConfig

Methods

(==) :: EdgeDeploymentConfig -> EdgeDeploymentConfig -> Bool #

(/=) :: EdgeDeploymentConfig -> EdgeDeploymentConfig -> Bool #

Hashable EdgeDeploymentConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EdgeDeploymentConfig

Methods

hashWithSalt :: Int -> EdgeDeploymentConfig -> Int #

hash :: EdgeDeploymentConfig -> Int #

type Rep EdgeDeploymentConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EdgeDeploymentConfig

type Rep EdgeDeploymentConfig = D1 ('MetaData "EdgeDeploymentConfig" "Amazonka.SageMaker.Types.EdgeDeploymentConfig" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "EdgeDeploymentConfig'" 'PrefixI 'True) (S1 ('MetaSel ('Just "failureHandlingPolicy") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 FailureHandlingPolicy)))

newEdgeDeploymentConfig Source #

Arguments

:: FailureHandlingPolicy

$sel:failureHandlingPolicy:EdgeDeploymentConfig'

-> EdgeDeploymentConfig 

Create a value of EdgeDeploymentConfig with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:failureHandlingPolicy:EdgeDeploymentConfig', edgeDeploymentConfig_failureHandlingPolicy - Toggle that determines whether to rollback to previous configuration if the current deployment fails. By default this is turned on. You may turn this off if you want to investigate the errors yourself.

edgeDeploymentConfig_failureHandlingPolicy :: Lens' EdgeDeploymentConfig FailureHandlingPolicy Source #

Toggle that determines whether to rollback to previous configuration if the current deployment fails. By default this is turned on. You may turn this off if you want to investigate the errors yourself.

EdgeDeploymentModelConfig

data EdgeDeploymentModelConfig Source #

Contains information about the configuration of a model in a deployment.

See: newEdgeDeploymentModelConfig smart constructor.

Constructors

EdgeDeploymentModelConfig' 

Fields

Instances

Instances details
FromJSON EdgeDeploymentModelConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EdgeDeploymentModelConfig

Methods

parseJSON :: Value -> Parser EdgeDeploymentModelConfig #

parseJSONList :: Value -> Parser [EdgeDeploymentModelConfig] #

ToJSON EdgeDeploymentModelConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EdgeDeploymentModelConfig

Methods

toJSON :: EdgeDeploymentModelConfig -> Value #

toEncoding :: EdgeDeploymentModelConfig -> Encoding #

toJSONList :: [EdgeDeploymentModelConfig] -> Value #

toEncodingList :: [EdgeDeploymentModelConfig] -> Encoding #

Generic EdgeDeploymentModelConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EdgeDeploymentModelConfig

Associated Types

type Rep EdgeDeploymentModelConfig :: Type -> Type #

Methods

from :: EdgeDeploymentModelConfig -> Rep EdgeDeploymentModelConfig x #

to :: Rep EdgeDeploymentModelConfig x -> EdgeDeploymentModelConfig #

Read EdgeDeploymentModelConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EdgeDeploymentModelConfig

Methods

readsPrec :: Int -> ReadS EdgeDeploymentModelConfig #

readList :: ReadS [EdgeDeploymentModelConfig] #

readPrec :: ReadPrec EdgeDeploymentModelConfig #

readListPrec :: ReadPrec [EdgeDeploymentModelConfig] #

Show EdgeDeploymentModelConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EdgeDeploymentModelConfig

Methods

showsPrec :: Int -> EdgeDeploymentModelConfig -> ShowS #

show :: EdgeDeploymentModelConfig -> String #

showList :: [EdgeDeploymentModelConfig] -> ShowS #

NFData EdgeDeploymentModelConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EdgeDeploymentModelConfig

Methods

rnf :: EdgeDeploymentModelConfig -> () #

Eq EdgeDeploymentModelConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EdgeDeploymentModelConfig

Methods

(==) :: EdgeDeploymentModelConfig -> EdgeDeploymentModelConfig -> Bool #

(/=) :: EdgeDeploymentModelConfig -> EdgeDeploymentModelConfig -> Bool #

Hashable EdgeDeploymentModelConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EdgeDeploymentModelConfig

Methods

hashWithSalt :: Int -> EdgeDeploymentModelConfig -> Int #

hash :: EdgeDeploymentModelConfig -> Int #

type Rep EdgeDeploymentModelConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EdgeDeploymentModelConfig

type Rep EdgeDeploymentModelConfig = D1 ('MetaData "EdgeDeploymentModelConfig" "Amazonka.SageMaker.Types.EdgeDeploymentModelConfig" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "EdgeDeploymentModelConfig'" 'PrefixI 'True) (S1 ('MetaSel ('Just "modelHandle") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: S1 ('MetaSel ('Just "edgePackagingJobName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))

newEdgeDeploymentModelConfig Source #

Arguments

:: Text

$sel:modelHandle:EdgeDeploymentModelConfig'

-> Text

$sel:edgePackagingJobName:EdgeDeploymentModelConfig'

-> EdgeDeploymentModelConfig 

Create a value of EdgeDeploymentModelConfig with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:modelHandle:EdgeDeploymentModelConfig', edgeDeploymentModelConfig_modelHandle - The name the device application uses to reference this model.

$sel:edgePackagingJobName:EdgeDeploymentModelConfig', edgeDeploymentModelConfig_edgePackagingJobName - The edge packaging job associated with this deployment.

edgeDeploymentModelConfig_modelHandle :: Lens' EdgeDeploymentModelConfig Text Source #

The name the device application uses to reference this model.

edgeDeploymentModelConfig_edgePackagingJobName :: Lens' EdgeDeploymentModelConfig Text Source #

The edge packaging job associated with this deployment.

EdgeDeploymentPlanSummary

data EdgeDeploymentPlanSummary Source #

Contains information summarizing an edge deployment plan.

See: newEdgeDeploymentPlanSummary smart constructor.

Constructors

EdgeDeploymentPlanSummary' 

Fields

Instances

Instances details
FromJSON EdgeDeploymentPlanSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EdgeDeploymentPlanSummary

Methods

parseJSON :: Value -> Parser EdgeDeploymentPlanSummary #

parseJSONList :: Value -> Parser [EdgeDeploymentPlanSummary] #

Generic EdgeDeploymentPlanSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EdgeDeploymentPlanSummary

Associated Types

type Rep EdgeDeploymentPlanSummary :: Type -> Type #

Methods

from :: EdgeDeploymentPlanSummary -> Rep EdgeDeploymentPlanSummary x #

to :: Rep EdgeDeploymentPlanSummary x -> EdgeDeploymentPlanSummary #

Read EdgeDeploymentPlanSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EdgeDeploymentPlanSummary

Methods

readsPrec :: Int -> ReadS EdgeDeploymentPlanSummary #

readList :: ReadS [EdgeDeploymentPlanSummary] #

readPrec :: ReadPrec EdgeDeploymentPlanSummary #

readListPrec :: ReadPrec [EdgeDeploymentPlanSummary] #

Show EdgeDeploymentPlanSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EdgeDeploymentPlanSummary

Methods

showsPrec :: Int -> EdgeDeploymentPlanSummary -> ShowS #

show :: EdgeDeploymentPlanSummary -> String #

showList :: [EdgeDeploymentPlanSummary] -> ShowS #

NFData EdgeDeploymentPlanSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EdgeDeploymentPlanSummary

Methods

rnf :: EdgeDeploymentPlanSummary -> () #

Eq EdgeDeploymentPlanSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EdgeDeploymentPlanSummary

Methods

(==) :: EdgeDeploymentPlanSummary -> EdgeDeploymentPlanSummary -> Bool #

(/=) :: EdgeDeploymentPlanSummary -> EdgeDeploymentPlanSummary -> Bool #

Hashable EdgeDeploymentPlanSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EdgeDeploymentPlanSummary

Methods

hashWithSalt :: Int -> EdgeDeploymentPlanSummary -> Int #

hash :: EdgeDeploymentPlanSummary -> Int #

type Rep EdgeDeploymentPlanSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EdgeDeploymentPlanSummary

type Rep EdgeDeploymentPlanSummary = D1 ('MetaData "EdgeDeploymentPlanSummary" "Amazonka.SageMaker.Types.EdgeDeploymentPlanSummary" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "EdgeDeploymentPlanSummary'" 'PrefixI 'True) (((S1 ('MetaSel ('Just "creationTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :*: S1 ('MetaSel ('Just "lastModifiedTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX))) :*: (S1 ('MetaSel ('Just "edgeDeploymentPlanArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: S1 ('MetaSel ('Just "edgeDeploymentPlanName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text))) :*: ((S1 ('MetaSel ('Just "deviceFleetName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: S1 ('MetaSel ('Just "edgeDeploymentSuccess") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Int)) :*: (S1 ('MetaSel ('Just "edgeDeploymentPending") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Int) :*: S1 ('MetaSel ('Just "edgeDeploymentFailed") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Int)))))

newEdgeDeploymentPlanSummary Source #

Arguments

:: Text

$sel:edgeDeploymentPlanArn:EdgeDeploymentPlanSummary'

-> Text

$sel:edgeDeploymentPlanName:EdgeDeploymentPlanSummary'

-> Text

$sel:deviceFleetName:EdgeDeploymentPlanSummary'

-> Int

$sel:edgeDeploymentSuccess:EdgeDeploymentPlanSummary'

-> Int

$sel:edgeDeploymentPending:EdgeDeploymentPlanSummary'

-> Int

$sel:edgeDeploymentFailed:EdgeDeploymentPlanSummary'

-> EdgeDeploymentPlanSummary 

Create a value of EdgeDeploymentPlanSummary with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:creationTime:EdgeDeploymentPlanSummary', edgeDeploymentPlanSummary_creationTime - The time when the edge deployment plan was created.

$sel:lastModifiedTime:EdgeDeploymentPlanSummary', edgeDeploymentPlanSummary_lastModifiedTime - The time when the edge deployment plan was last updated.

$sel:edgeDeploymentPlanArn:EdgeDeploymentPlanSummary', edgeDeploymentPlanSummary_edgeDeploymentPlanArn - The ARN of the edge deployment plan.

$sel:edgeDeploymentPlanName:EdgeDeploymentPlanSummary', edgeDeploymentPlanSummary_edgeDeploymentPlanName - The name of the edge deployment plan.

$sel:deviceFleetName:EdgeDeploymentPlanSummary', edgeDeploymentPlanSummary_deviceFleetName - The name of the device fleet used for the deployment.

$sel:edgeDeploymentSuccess:EdgeDeploymentPlanSummary', edgeDeploymentPlanSummary_edgeDeploymentSuccess - The number of edge devices with the successful deployment.

$sel:edgeDeploymentPending:EdgeDeploymentPlanSummary', edgeDeploymentPlanSummary_edgeDeploymentPending - The number of edge devices yet to pick up the deployment, or in progress.

$sel:edgeDeploymentFailed:EdgeDeploymentPlanSummary', edgeDeploymentPlanSummary_edgeDeploymentFailed - The number of edge devices that failed the deployment.

edgeDeploymentPlanSummary_creationTime :: Lens' EdgeDeploymentPlanSummary (Maybe UTCTime) Source #

The time when the edge deployment plan was created.

edgeDeploymentPlanSummary_lastModifiedTime :: Lens' EdgeDeploymentPlanSummary (Maybe UTCTime) Source #

The time when the edge deployment plan was last updated.

edgeDeploymentPlanSummary_edgeDeploymentPlanArn :: Lens' EdgeDeploymentPlanSummary Text Source #

The ARN of the edge deployment plan.

edgeDeploymentPlanSummary_edgeDeploymentPlanName :: Lens' EdgeDeploymentPlanSummary Text Source #

The name of the edge deployment plan.

edgeDeploymentPlanSummary_deviceFleetName :: Lens' EdgeDeploymentPlanSummary Text Source #

The name of the device fleet used for the deployment.

edgeDeploymentPlanSummary_edgeDeploymentSuccess :: Lens' EdgeDeploymentPlanSummary Int Source #

The number of edge devices with the successful deployment.

edgeDeploymentPlanSummary_edgeDeploymentPending :: Lens' EdgeDeploymentPlanSummary Int Source #

The number of edge devices yet to pick up the deployment, or in progress.

edgeDeploymentPlanSummary_edgeDeploymentFailed :: Lens' EdgeDeploymentPlanSummary Int Source #

The number of edge devices that failed the deployment.

EdgeDeploymentStatus

data EdgeDeploymentStatus Source #

Contains information summarizing the deployment stage results.

See: newEdgeDeploymentStatus smart constructor.

Constructors

EdgeDeploymentStatus' 

Fields

Instances

Instances details
FromJSON EdgeDeploymentStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EdgeDeploymentStatus

Methods

parseJSON :: Value -> Parser EdgeDeploymentStatus #

parseJSONList :: Value -> Parser [EdgeDeploymentStatus] #

Generic EdgeDeploymentStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EdgeDeploymentStatus

Associated Types

type Rep EdgeDeploymentStatus :: Type -> Type #

Methods

from :: EdgeDeploymentStatus -> Rep EdgeDeploymentStatus x #

to :: Rep EdgeDeploymentStatus x -> EdgeDeploymentStatus #

Read EdgeDeploymentStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EdgeDeploymentStatus

Methods

readsPrec :: Int -> ReadS EdgeDeploymentStatus #

readList :: ReadS [EdgeDeploymentStatus] #

readPrec :: ReadPrec EdgeDeploymentStatus #

readListPrec :: ReadPrec [EdgeDeploymentStatus] #

Show EdgeDeploymentStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EdgeDeploymentStatus

Methods

showsPrec :: Int -> EdgeDeploymentStatus -> ShowS #

show :: EdgeDeploymentStatus -> String #

showList :: [EdgeDeploymentStatus] -> ShowS #

NFData EdgeDeploymentStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EdgeDeploymentStatus

Methods

rnf :: EdgeDeploymentStatus -> () #

Eq EdgeDeploymentStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EdgeDeploymentStatus

Methods

(==) :: EdgeDeploymentStatus -> EdgeDeploymentStatus -> Bool #

(/=) :: EdgeDeploymentStatus -> EdgeDeploymentStatus -> Bool #

Hashable EdgeDeploymentStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EdgeDeploymentStatus

Methods

hashWithSalt :: Int -> EdgeDeploymentStatus -> Int #

hash :: EdgeDeploymentStatus -> Int #

type Rep EdgeDeploymentStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EdgeDeploymentStatus

type Rep EdgeDeploymentStatus = D1 ('MetaData "EdgeDeploymentStatus" "Amazonka.SageMaker.Types.EdgeDeploymentStatus" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "EdgeDeploymentStatus'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "edgeDeploymentStageStartTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :*: (S1 ('MetaSel ('Just "edgeDeploymentStatusMessage") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "stageStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 StageStatus))) :*: (S1 ('MetaSel ('Just "edgeDeploymentSuccessInStage") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Int) :*: (S1 ('MetaSel ('Just "edgeDeploymentPendingInStage") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Int) :*: S1 ('MetaSel ('Just "edgeDeploymentFailedInStage") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Int)))))

newEdgeDeploymentStatus Source #

Arguments

:: StageStatus

$sel:stageStatus:EdgeDeploymentStatus'

-> Int

$sel:edgeDeploymentSuccessInStage:EdgeDeploymentStatus'

-> Int

$sel:edgeDeploymentPendingInStage:EdgeDeploymentStatus'

-> Int

$sel:edgeDeploymentFailedInStage:EdgeDeploymentStatus'

-> EdgeDeploymentStatus 

Create a value of EdgeDeploymentStatus with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:edgeDeploymentStageStartTime:EdgeDeploymentStatus', edgeDeploymentStatus_edgeDeploymentStageStartTime - The time when the deployment API started.

$sel:edgeDeploymentStatusMessage:EdgeDeploymentStatus', edgeDeploymentStatus_edgeDeploymentStatusMessage - A detailed message about deployment status in current stage.

$sel:stageStatus:EdgeDeploymentStatus', edgeDeploymentStatus_stageStatus - The general status of the current stage.

$sel:edgeDeploymentSuccessInStage:EdgeDeploymentStatus', edgeDeploymentStatus_edgeDeploymentSuccessInStage - The number of edge devices with the successful deployment in the current stage.

$sel:edgeDeploymentPendingInStage:EdgeDeploymentStatus', edgeDeploymentStatus_edgeDeploymentPendingInStage - The number of edge devices yet to pick up the deployment in current stage, or in progress.

$sel:edgeDeploymentFailedInStage:EdgeDeploymentStatus', edgeDeploymentStatus_edgeDeploymentFailedInStage - The number of edge devices that failed the deployment in current stage.

edgeDeploymentStatus_edgeDeploymentStageStartTime :: Lens' EdgeDeploymentStatus (Maybe UTCTime) Source #

The time when the deployment API started.

edgeDeploymentStatus_edgeDeploymentStatusMessage :: Lens' EdgeDeploymentStatus (Maybe Text) Source #

A detailed message about deployment status in current stage.

edgeDeploymentStatus_stageStatus :: Lens' EdgeDeploymentStatus StageStatus Source #

The general status of the current stage.

edgeDeploymentStatus_edgeDeploymentSuccessInStage :: Lens' EdgeDeploymentStatus Int Source #

The number of edge devices with the successful deployment in the current stage.

edgeDeploymentStatus_edgeDeploymentPendingInStage :: Lens' EdgeDeploymentStatus Int Source #

The number of edge devices yet to pick up the deployment in current stage, or in progress.

edgeDeploymentStatus_edgeDeploymentFailedInStage :: Lens' EdgeDeploymentStatus Int Source #

The number of edge devices that failed the deployment in current stage.

EdgeModel

data EdgeModel Source #

The model on the edge device.

See: newEdgeModel smart constructor.

Constructors

EdgeModel' 

Fields

Instances

Instances details
FromJSON EdgeModel Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EdgeModel

Methods

parseJSON :: Value -> Parser EdgeModel #

parseJSONList :: Value -> Parser [EdgeModel] #

Generic EdgeModel Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EdgeModel

Associated Types

type Rep EdgeModel :: Type -> Type #

Methods

from :: EdgeModel -> Rep EdgeModel x #

to :: Rep EdgeModel x -> EdgeModel #

Read EdgeModel Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EdgeModel

Methods

readsPrec :: Int -> ReadS EdgeModel #

readList :: ReadS [EdgeModel] #

readPrec :: ReadPrec EdgeModel #

readListPrec :: ReadPrec [EdgeModel] #

Show EdgeModel Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EdgeModel

Methods

showsPrec :: Int -> EdgeModel -> ShowS #

show :: EdgeModel -> String #

showList :: [EdgeModel] -> ShowS #

NFData EdgeModel Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EdgeModel

Methods

rnf :: EdgeModel -> () #

Eq EdgeModel Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EdgeModel

Methods

(==) :: EdgeModel -> EdgeModel -> Bool #

(/=) :: EdgeModel -> EdgeModel -> Bool #

Hashable EdgeModel Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EdgeModel

Methods

hashWithSalt :: Int -> EdgeModel -> Int #

hash :: EdgeModel -> Int #

type Rep EdgeModel Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EdgeModel

type Rep EdgeModel = D1 ('MetaData "EdgeModel" "Amazonka.SageMaker.Types.EdgeModel" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "EdgeModel'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "latestInference") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :*: S1 ('MetaSel ('Just "latestSampleTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX))) :*: (S1 ('MetaSel ('Just "modelName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: S1 ('MetaSel ('Just "modelVersion") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text))))

newEdgeModel Source #

Arguments

:: Text

$sel:modelName:EdgeModel'

-> Text

$sel:modelVersion:EdgeModel'

-> EdgeModel 

Create a value of EdgeModel with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:latestInference:EdgeModel', edgeModel_latestInference - The timestamp of the last inference that was made.

$sel:latestSampleTime:EdgeModel', edgeModel_latestSampleTime - The timestamp of the last data sample taken.

$sel:modelName:EdgeModel', edgeModel_modelName - The name of the model.

$sel:modelVersion:EdgeModel', edgeModel_modelVersion - The model version.

edgeModel_latestInference :: Lens' EdgeModel (Maybe UTCTime) Source #

The timestamp of the last inference that was made.

edgeModel_latestSampleTime :: Lens' EdgeModel (Maybe UTCTime) Source #

The timestamp of the last data sample taken.

edgeModel_modelName :: Lens' EdgeModel Text Source #

The name of the model.

edgeModel_modelVersion :: Lens' EdgeModel Text Source #

The model version.

EdgeModelStat

data EdgeModelStat Source #

Status of edge devices with this model.

See: newEdgeModelStat smart constructor.

Constructors

EdgeModelStat' 

Fields

Instances

Instances details
FromJSON EdgeModelStat Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EdgeModelStat

Methods

parseJSON :: Value -> Parser EdgeModelStat #

parseJSONList :: Value -> Parser [EdgeModelStat] #

Generic EdgeModelStat Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EdgeModelStat

Associated Types

type Rep EdgeModelStat :: Type -> Type #

Methods

from :: EdgeModelStat -> Rep EdgeModelStat x #

to :: Rep EdgeModelStat x -> EdgeModelStat #

Read EdgeModelStat Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EdgeModelStat

Methods

readsPrec :: Int -> ReadS EdgeModelStat #

readList :: ReadS [EdgeModelStat] #

readPrec :: ReadPrec EdgeModelStat #

readListPrec :: ReadPrec [EdgeModelStat] #

Show EdgeModelStat Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EdgeModelStat

Methods

showsPrec :: Int -> EdgeModelStat -> ShowS #

show :: EdgeModelStat -> String #

showList :: [EdgeModelStat] -> ShowS #

NFData EdgeModelStat Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EdgeModelStat

Methods

rnf :: EdgeModelStat -> () #

Eq EdgeModelStat Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EdgeModelStat

Methods

(==) :: EdgeModelStat -> EdgeModelStat -> Bool #

(/=) :: EdgeModelStat -> EdgeModelStat -> Bool #

Hashable EdgeModelStat Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EdgeModelStat

Methods

hashWithSalt :: Int -> EdgeModelStat -> Int #

hash :: EdgeModelStat -> Int #

type Rep EdgeModelStat Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EdgeModelStat

type Rep EdgeModelStat = D1 ('MetaData "EdgeModelStat" "Amazonka.SageMaker.Types.EdgeModelStat" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "EdgeModelStat'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "modelName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: (S1 ('MetaSel ('Just "modelVersion") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: S1 ('MetaSel ('Just "offlineDeviceCount") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Integer))) :*: (S1 ('MetaSel ('Just "connectedDeviceCount") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Integer) :*: (S1 ('MetaSel ('Just "activeDeviceCount") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Integer) :*: S1 ('MetaSel ('Just "samplingDeviceCount") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Integer)))))

newEdgeModelStat Source #

Arguments

:: Text

$sel:modelName:EdgeModelStat'

-> Text

$sel:modelVersion:EdgeModelStat'

-> Integer

$sel:offlineDeviceCount:EdgeModelStat'

-> Integer

$sel:connectedDeviceCount:EdgeModelStat'

-> Integer

$sel:activeDeviceCount:EdgeModelStat'

-> Integer

$sel:samplingDeviceCount:EdgeModelStat'

-> EdgeModelStat 

Create a value of EdgeModelStat with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:modelName:EdgeModelStat', edgeModelStat_modelName - The name of the model.

$sel:modelVersion:EdgeModelStat', edgeModelStat_modelVersion - The model version.

$sel:offlineDeviceCount:EdgeModelStat', edgeModelStat_offlineDeviceCount - The number of devices that have this model version and do not have a heart beat.

$sel:connectedDeviceCount:EdgeModelStat', edgeModelStat_connectedDeviceCount - The number of devices that have this model version and have a heart beat.

$sel:activeDeviceCount:EdgeModelStat', edgeModelStat_activeDeviceCount - The number of devices that have this model version, a heart beat, and are currently running.

$sel:samplingDeviceCount:EdgeModelStat', edgeModelStat_samplingDeviceCount - The number of devices with this model version and are producing sample data.

edgeModelStat_modelName :: Lens' EdgeModelStat Text Source #

The name of the model.

edgeModelStat_modelVersion :: Lens' EdgeModelStat Text Source #

The model version.

edgeModelStat_offlineDeviceCount :: Lens' EdgeModelStat Integer Source #

The number of devices that have this model version and do not have a heart beat.

edgeModelStat_connectedDeviceCount :: Lens' EdgeModelStat Integer Source #

The number of devices that have this model version and have a heart beat.

edgeModelStat_activeDeviceCount :: Lens' EdgeModelStat Integer Source #

The number of devices that have this model version, a heart beat, and are currently running.

edgeModelStat_samplingDeviceCount :: Lens' EdgeModelStat Integer Source #

The number of devices with this model version and are producing sample data.

EdgeModelSummary

data EdgeModelSummary Source #

Summary of model on edge device.

See: newEdgeModelSummary smart constructor.

Constructors

EdgeModelSummary' 

Fields

Instances

Instances details
FromJSON EdgeModelSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EdgeModelSummary

Methods

parseJSON :: Value -> Parser EdgeModelSummary #

parseJSONList :: Value -> Parser [EdgeModelSummary] #

Generic EdgeModelSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EdgeModelSummary

Associated Types

type Rep EdgeModelSummary :: Type -> Type #

Methods

from :: EdgeModelSummary -> Rep EdgeModelSummary x #

to :: Rep EdgeModelSummary x -> EdgeModelSummary #

Read EdgeModelSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EdgeModelSummary

Methods

readsPrec :: Int -> ReadS EdgeModelSummary #

readList :: ReadS [EdgeModelSummary] #

readPrec :: ReadPrec EdgeModelSummary #

readListPrec :: ReadPrec [EdgeModelSummary] #

Show EdgeModelSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EdgeModelSummary

Methods

showsPrec :: Int -> EdgeModelSummary -> ShowS #

show :: EdgeModelSummary -> String #

showList :: [EdgeModelSummary] -> ShowS #

NFData EdgeModelSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EdgeModelSummary

Methods

rnf :: EdgeModelSummary -> () #

Eq EdgeModelSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EdgeModelSummary

Methods

(==) :: EdgeModelSummary -> EdgeModelSummary -> Bool #

(/=) :: EdgeModelSummary -> EdgeModelSummary -> Bool #

Hashable EdgeModelSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EdgeModelSummary

Methods

hashWithSalt :: Int -> EdgeModelSummary -> Int #

hash :: EdgeModelSummary -> Int #

type Rep EdgeModelSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EdgeModelSummary

type Rep EdgeModelSummary = D1 ('MetaData "EdgeModelSummary" "Amazonka.SageMaker.Types.EdgeModelSummary" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "EdgeModelSummary'" 'PrefixI 'True) (S1 ('MetaSel ('Just "modelName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: S1 ('MetaSel ('Just "modelVersion") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))

newEdgeModelSummary Source #

Arguments

:: Text

$sel:modelName:EdgeModelSummary'

-> Text

$sel:modelVersion:EdgeModelSummary'

-> EdgeModelSummary 

Create a value of EdgeModelSummary with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:modelName:EdgeModelSummary', edgeModelSummary_modelName - The name of the model.

$sel:modelVersion:EdgeModelSummary', edgeModelSummary_modelVersion - The version model.

edgeModelSummary_modelName :: Lens' EdgeModelSummary Text Source #

The name of the model.

edgeModelSummary_modelVersion :: Lens' EdgeModelSummary Text Source #

The version model.

EdgeOutputConfig

data EdgeOutputConfig Source #

The output configuration.

See: newEdgeOutputConfig smart constructor.

Constructors

EdgeOutputConfig' 

Fields

  • kmsKeyId :: Maybe Text

    The Amazon Web Services Key Management Service (Amazon Web Services KMS) key that Amazon SageMaker uses to encrypt data on the storage volume after compilation job. If you don't provide a KMS key ID, Amazon SageMaker uses the default KMS key for Amazon S3 for your role's account.

  • presetDeploymentConfig :: Maybe Text

    The configuration used to create deployment artifacts. Specify configuration options with a JSON string. The available configuration options for each type are:

    • ComponentName (optional) - Name of the GreenGrass V2 component. If not specified, the default name generated consists of "SagemakerEdgeManager" and the name of your SageMaker Edge Manager packaging job.
    • ComponentDescription (optional) - Description of the component.

    • ComponentVersion (optional) - The version of the component.

      Amazon Web Services IoT Greengrass uses semantic versions for components. Semantic versions follow a major.minor.patch number system. For example, version 1.0.0 represents the first major release for a component. For more information, see the semantic version specification.

    • PlatformOS (optional) - The name of the operating system for the platform. Supported platforms include Windows and Linux.

    • PlatformArchitecture (optional) - The processor architecture for the platform.

      Supported architectures Windows include: Windows32_x86, Windows64_x64.

      Supported architectures for Linux include: Linux x86_64, Linux ARMV8.

  • presetDeploymentType :: Maybe EdgePresetDeploymentType

    The deployment type SageMaker Edge Manager will create. Currently only supports Amazon Web Services IoT Greengrass Version 2 components.

  • s3OutputLocation :: Text

    The Amazon Simple Storage (S3) bucker URI.

Instances

Instances details
FromJSON EdgeOutputConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EdgeOutputConfig

Methods

parseJSON :: Value -> Parser EdgeOutputConfig #

parseJSONList :: Value -> Parser [EdgeOutputConfig] #

ToJSON EdgeOutputConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EdgeOutputConfig

Methods

toJSON :: EdgeOutputConfig -> Value #

toEncoding :: EdgeOutputConfig -> Encoding #

toJSONList :: [EdgeOutputConfig] -> Value #

toEncodingList :: [EdgeOutputConfig] -> Encoding #

Generic EdgeOutputConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EdgeOutputConfig

Associated Types

type Rep EdgeOutputConfig :: Type -> Type #

Methods

from :: EdgeOutputConfig -> Rep EdgeOutputConfig x #

to :: Rep EdgeOutputConfig x -> EdgeOutputConfig #

Read EdgeOutputConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EdgeOutputConfig

Methods

readsPrec :: Int -> ReadS EdgeOutputConfig #

readList :: ReadS [EdgeOutputConfig] #

readPrec :: ReadPrec EdgeOutputConfig #

readListPrec :: ReadPrec [EdgeOutputConfig] #

Show EdgeOutputConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EdgeOutputConfig

Methods

showsPrec :: Int -> EdgeOutputConfig -> ShowS #

show :: EdgeOutputConfig -> String #

showList :: [EdgeOutputConfig] -> ShowS #

NFData EdgeOutputConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EdgeOutputConfig

Methods

rnf :: EdgeOutputConfig -> () #

Eq EdgeOutputConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EdgeOutputConfig

Methods

(==) :: EdgeOutputConfig -> EdgeOutputConfig -> Bool #

(/=) :: EdgeOutputConfig -> EdgeOutputConfig -> Bool #

Hashable EdgeOutputConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EdgeOutputConfig

Methods

hashWithSalt :: Int -> EdgeOutputConfig -> Int #

hash :: EdgeOutputConfig -> Int #

type Rep EdgeOutputConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EdgeOutputConfig

type Rep EdgeOutputConfig = D1 ('MetaData "EdgeOutputConfig" "Amazonka.SageMaker.Types.EdgeOutputConfig" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "EdgeOutputConfig'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "kmsKeyId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "presetDeploymentConfig") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))) :*: (S1 ('MetaSel ('Just "presetDeploymentType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe EdgePresetDeploymentType)) :*: S1 ('MetaSel ('Just "s3OutputLocation") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text))))

newEdgeOutputConfig Source #

Arguments

:: Text

$sel:s3OutputLocation:EdgeOutputConfig'

-> EdgeOutputConfig 

Create a value of EdgeOutputConfig with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:kmsKeyId:EdgeOutputConfig', edgeOutputConfig_kmsKeyId - The Amazon Web Services Key Management Service (Amazon Web Services KMS) key that Amazon SageMaker uses to encrypt data on the storage volume after compilation job. If you don't provide a KMS key ID, Amazon SageMaker uses the default KMS key for Amazon S3 for your role's account.

$sel:presetDeploymentConfig:EdgeOutputConfig', edgeOutputConfig_presetDeploymentConfig - The configuration used to create deployment artifacts. Specify configuration options with a JSON string. The available configuration options for each type are:

  • ComponentName (optional) - Name of the GreenGrass V2 component. If not specified, the default name generated consists of "SagemakerEdgeManager" and the name of your SageMaker Edge Manager packaging job.
  • ComponentDescription (optional) - Description of the component.

  • ComponentVersion (optional) - The version of the component.

    Amazon Web Services IoT Greengrass uses semantic versions for components. Semantic versions follow a major.minor.patch number system. For example, version 1.0.0 represents the first major release for a component. For more information, see the semantic version specification.

  • PlatformOS (optional) - The name of the operating system for the platform. Supported platforms include Windows and Linux.

  • PlatformArchitecture (optional) - The processor architecture for the platform.

    Supported architectures Windows include: Windows32_x86, Windows64_x64.

    Supported architectures for Linux include: Linux x86_64, Linux ARMV8.

$sel:presetDeploymentType:EdgeOutputConfig', edgeOutputConfig_presetDeploymentType - The deployment type SageMaker Edge Manager will create. Currently only supports Amazon Web Services IoT Greengrass Version 2 components.

$sel:s3OutputLocation:EdgeOutputConfig', edgeOutputConfig_s3OutputLocation - The Amazon Simple Storage (S3) bucker URI.

edgeOutputConfig_kmsKeyId :: Lens' EdgeOutputConfig (Maybe Text) Source #

The Amazon Web Services Key Management Service (Amazon Web Services KMS) key that Amazon SageMaker uses to encrypt data on the storage volume after compilation job. If you don't provide a KMS key ID, Amazon SageMaker uses the default KMS key for Amazon S3 for your role's account.

edgeOutputConfig_presetDeploymentConfig :: Lens' EdgeOutputConfig (Maybe Text) Source #

The configuration used to create deployment artifacts. Specify configuration options with a JSON string. The available configuration options for each type are:

  • ComponentName (optional) - Name of the GreenGrass V2 component. If not specified, the default name generated consists of "SagemakerEdgeManager" and the name of your SageMaker Edge Manager packaging job.
  • ComponentDescription (optional) - Description of the component.

  • ComponentVersion (optional) - The version of the component.

    Amazon Web Services IoT Greengrass uses semantic versions for components. Semantic versions follow a major.minor.patch number system. For example, version 1.0.0 represents the first major release for a component. For more information, see the semantic version specification.

  • PlatformOS (optional) - The name of the operating system for the platform. Supported platforms include Windows and Linux.

  • PlatformArchitecture (optional) - The processor architecture for the platform.

    Supported architectures Windows include: Windows32_x86, Windows64_x64.

    Supported architectures for Linux include: Linux x86_64, Linux ARMV8.

edgeOutputConfig_presetDeploymentType :: Lens' EdgeOutputConfig (Maybe EdgePresetDeploymentType) Source #

The deployment type SageMaker Edge Manager will create. Currently only supports Amazon Web Services IoT Greengrass Version 2 components.

edgeOutputConfig_s3OutputLocation :: Lens' EdgeOutputConfig Text Source #

The Amazon Simple Storage (S3) bucker URI.

EdgePackagingJobSummary

data EdgePackagingJobSummary Source #

Summary of edge packaging job.

See: newEdgePackagingJobSummary smart constructor.

Constructors

EdgePackagingJobSummary' 

Fields

Instances

Instances details
FromJSON EdgePackagingJobSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EdgePackagingJobSummary

Methods

parseJSON :: Value -> Parser EdgePackagingJobSummary #

parseJSONList :: Value -> Parser [EdgePackagingJobSummary] #

Generic EdgePackagingJobSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EdgePackagingJobSummary

Associated Types

type Rep EdgePackagingJobSummary :: Type -> Type #

Methods

from :: EdgePackagingJobSummary -> Rep EdgePackagingJobSummary x #

to :: Rep EdgePackagingJobSummary x -> EdgePackagingJobSummary #

Read EdgePackagingJobSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EdgePackagingJobSummary

Methods

readsPrec :: Int -> ReadS EdgePackagingJobSummary #

readList :: ReadS [EdgePackagingJobSummary] #

readPrec :: ReadPrec EdgePackagingJobSummary #

readListPrec :: ReadPrec [EdgePackagingJobSummary] #

Show EdgePackagingJobSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EdgePackagingJobSummary

Methods

showsPrec :: Int -> EdgePackagingJobSummary -> ShowS #

show :: EdgePackagingJobSummary -> String #

showList :: [EdgePackagingJobSummary] -> ShowS #

NFData EdgePackagingJobSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EdgePackagingJobSummary

Methods

rnf :: EdgePackagingJobSummary -> () #

Eq EdgePackagingJobSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EdgePackagingJobSummary

Methods

(==) :: EdgePackagingJobSummary -> EdgePackagingJobSummary -> Bool #

(/=) :: EdgePackagingJobSummary -> EdgePackagingJobSummary -> Bool #

Hashable EdgePackagingJobSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EdgePackagingJobSummary

Methods

hashWithSalt :: Int -> EdgePackagingJobSummary -> Int #

hash :: EdgePackagingJobSummary -> Int #

type Rep EdgePackagingJobSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EdgePackagingJobSummary

type Rep EdgePackagingJobSummary = D1 ('MetaData "EdgePackagingJobSummary" "Amazonka.SageMaker.Types.EdgePackagingJobSummary" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "EdgePackagingJobSummary'" 'PrefixI 'True) (((S1 ('MetaSel ('Just "compilationJobName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "creationTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX))) :*: (S1 ('MetaSel ('Just "lastModifiedTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :*: S1 ('MetaSel ('Just "modelName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))) :*: ((S1 ('MetaSel ('Just "modelVersion") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "edgePackagingJobArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)) :*: (S1 ('MetaSel ('Just "edgePackagingJobName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: S1 ('MetaSel ('Just "edgePackagingJobStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 EdgePackagingJobStatus)))))

newEdgePackagingJobSummary Source #

Arguments

:: Text

$sel:edgePackagingJobArn:EdgePackagingJobSummary'

-> Text

$sel:edgePackagingJobName:EdgePackagingJobSummary'

-> EdgePackagingJobStatus

$sel:edgePackagingJobStatus:EdgePackagingJobSummary'

-> EdgePackagingJobSummary 

Create a value of EdgePackagingJobSummary with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:compilationJobName:EdgePackagingJobSummary', edgePackagingJobSummary_compilationJobName - The name of the SageMaker Neo compilation job.

$sel:creationTime:EdgePackagingJobSummary', edgePackagingJobSummary_creationTime - The timestamp of when the job was created.

$sel:lastModifiedTime:EdgePackagingJobSummary', edgePackagingJobSummary_lastModifiedTime - The timestamp of when the edge packaging job was last updated.

$sel:modelName:EdgePackagingJobSummary', edgePackagingJobSummary_modelName - The name of the model.

$sel:modelVersion:EdgePackagingJobSummary', edgePackagingJobSummary_modelVersion - The version of the model.

$sel:edgePackagingJobArn:EdgePackagingJobSummary', edgePackagingJobSummary_edgePackagingJobArn - The Amazon Resource Name (ARN) of the edge packaging job.

$sel:edgePackagingJobName:EdgePackagingJobSummary', edgePackagingJobSummary_edgePackagingJobName - The name of the edge packaging job.

$sel:edgePackagingJobStatus:EdgePackagingJobSummary', edgePackagingJobSummary_edgePackagingJobStatus - The status of the edge packaging job.

edgePackagingJobSummary_compilationJobName :: Lens' EdgePackagingJobSummary (Maybe Text) Source #

The name of the SageMaker Neo compilation job.

edgePackagingJobSummary_creationTime :: Lens' EdgePackagingJobSummary (Maybe UTCTime) Source #

The timestamp of when the job was created.

edgePackagingJobSummary_lastModifiedTime :: Lens' EdgePackagingJobSummary (Maybe UTCTime) Source #

The timestamp of when the edge packaging job was last updated.

edgePackagingJobSummary_modelName :: Lens' EdgePackagingJobSummary (Maybe Text) Source #

The name of the model.

edgePackagingJobSummary_modelVersion :: Lens' EdgePackagingJobSummary (Maybe Text) Source #

The version of the model.

edgePackagingJobSummary_edgePackagingJobArn :: Lens' EdgePackagingJobSummary Text Source #

The Amazon Resource Name (ARN) of the edge packaging job.

edgePackagingJobSummary_edgePackagingJobName :: Lens' EdgePackagingJobSummary Text Source #

The name of the edge packaging job.

edgePackagingJobSummary_edgePackagingJobStatus :: Lens' EdgePackagingJobSummary EdgePackagingJobStatus Source #

The status of the edge packaging job.

EdgePresetDeploymentOutput

data EdgePresetDeploymentOutput Source #

The output of a SageMaker Edge Manager deployable resource.

See: newEdgePresetDeploymentOutput smart constructor.

Constructors

EdgePresetDeploymentOutput' 

Fields

Instances

Instances details
FromJSON EdgePresetDeploymentOutput Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EdgePresetDeploymentOutput

Methods

parseJSON :: Value -> Parser EdgePresetDeploymentOutput #

parseJSONList :: Value -> Parser [EdgePresetDeploymentOutput] #

Generic EdgePresetDeploymentOutput Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EdgePresetDeploymentOutput

Associated Types

type Rep EdgePresetDeploymentOutput :: Type -> Type #

Methods

from :: EdgePresetDeploymentOutput -> Rep EdgePresetDeploymentOutput x #

to :: Rep EdgePresetDeploymentOutput x -> EdgePresetDeploymentOutput #

Read EdgePresetDeploymentOutput Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EdgePresetDeploymentOutput

Methods

readsPrec :: Int -> ReadS EdgePresetDeploymentOutput #

readList :: ReadS [EdgePresetDeploymentOutput] #

readPrec :: ReadPrec EdgePresetDeploymentOutput #

readListPrec :: ReadPrec [EdgePresetDeploymentOutput] #

Show EdgePresetDeploymentOutput Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EdgePresetDeploymentOutput

Methods

showsPrec :: Int -> EdgePresetDeploymentOutput -> ShowS #

show :: EdgePresetDeploymentOutput -> String #

showList :: [EdgePresetDeploymentOutput] -> ShowS #

NFData EdgePresetDeploymentOutput Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EdgePresetDeploymentOutput

Methods

rnf :: EdgePresetDeploymentOutput -> () #

Eq EdgePresetDeploymentOutput Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EdgePresetDeploymentOutput

Methods

(==) :: EdgePresetDeploymentOutput -> EdgePresetDeploymentOutput -> Bool #

(/=) :: EdgePresetDeploymentOutput -> EdgePresetDeploymentOutput -> Bool #

Hashable EdgePresetDeploymentOutput Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EdgePresetDeploymentOutput

Methods

hashWithSalt :: Int -> EdgePresetDeploymentOutput -> Int #

hash :: EdgePresetDeploymentOutput -> Int #

type Rep EdgePresetDeploymentOutput Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EdgePresetDeploymentOutput

type Rep EdgePresetDeploymentOutput = D1 ('MetaData "EdgePresetDeploymentOutput" "Amazonka.SageMaker.Types.EdgePresetDeploymentOutput" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "EdgePresetDeploymentOutput'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "artifact") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "status") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe EdgePresetDeploymentStatus))) :*: (S1 ('MetaSel ('Just "statusMessage") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "type'") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 EdgePresetDeploymentType))))

newEdgePresetDeploymentOutput Source #

Arguments

:: EdgePresetDeploymentType

$sel:type':EdgePresetDeploymentOutput'

-> EdgePresetDeploymentOutput 

Create a value of EdgePresetDeploymentOutput with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:artifact:EdgePresetDeploymentOutput', edgePresetDeploymentOutput_artifact - The Amazon Resource Name (ARN) of the generated deployable resource.

$sel:status:EdgePresetDeploymentOutput', edgePresetDeploymentOutput_status - The status of the deployable resource.

$sel:statusMessage:EdgePresetDeploymentOutput', edgePresetDeploymentOutput_statusMessage - Returns a message describing the status of the deployed resource.

$sel:type':EdgePresetDeploymentOutput', edgePresetDeploymentOutput_type - The deployment type created by SageMaker Edge Manager. Currently only supports Amazon Web Services IoT Greengrass Version 2 components.

edgePresetDeploymentOutput_artifact :: Lens' EdgePresetDeploymentOutput (Maybe Text) Source #

The Amazon Resource Name (ARN) of the generated deployable resource.

edgePresetDeploymentOutput_status :: Lens' EdgePresetDeploymentOutput (Maybe EdgePresetDeploymentStatus) Source #

The status of the deployable resource.

edgePresetDeploymentOutput_statusMessage :: Lens' EdgePresetDeploymentOutput (Maybe Text) Source #

Returns a message describing the status of the deployed resource.

edgePresetDeploymentOutput_type :: Lens' EdgePresetDeploymentOutput EdgePresetDeploymentType Source #

The deployment type created by SageMaker Edge Manager. Currently only supports Amazon Web Services IoT Greengrass Version 2 components.

Endpoint

data Endpoint Source #

A hosted endpoint for real-time inference.

See: newEndpoint smart constructor.

Constructors

Endpoint' 

Fields

Instances

Instances details
FromJSON Endpoint Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Endpoint

Methods

parseJSON :: Value -> Parser Endpoint #

parseJSONList :: Value -> Parser [Endpoint] #

Generic Endpoint Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Endpoint

Associated Types

type Rep Endpoint :: Type -> Type #

Methods

from :: Endpoint -> Rep Endpoint x #

to :: Rep Endpoint x -> Endpoint #

Read Endpoint Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Endpoint

Methods

readsPrec :: Int -> ReadS Endpoint #

readList :: ReadS [Endpoint] #

readPrec :: ReadPrec Endpoint #

readListPrec :: ReadPrec [Endpoint] #

Show Endpoint Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Endpoint

Methods

showsPrec :: Int -> Endpoint -> ShowS #

show :: Endpoint -> String #

showList :: [Endpoint] -> ShowS #

NFData Endpoint Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Endpoint

Methods

rnf :: Endpoint -> () #

Eq Endpoint Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Endpoint

Methods

(==) :: Endpoint -> Endpoint -> Bool #

(/=) :: Endpoint -> Endpoint -> Bool #

Hashable Endpoint Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Endpoint

Methods

hashWithSalt :: Int -> Endpoint -> Int #

hash :: Endpoint -> Int #

type Rep Endpoint Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Endpoint

type Rep Endpoint = D1 ('MetaData "Endpoint" "Amazonka.SageMaker.Types.Endpoint" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "Endpoint'" 'PrefixI 'True) (((S1 ('MetaSel ('Just "dataCaptureConfig") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe DataCaptureConfigSummary)) :*: (S1 ('MetaSel ('Just "failureReason") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "monitoringSchedules") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [MonitoringSchedule])))) :*: (S1 ('MetaSel ('Just "productionVariants") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe (NonEmpty ProductionVariantSummary))) :*: (S1 ('MetaSel ('Just "shadowProductionVariants") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe (NonEmpty ProductionVariantSummary))) :*: S1 ('MetaSel ('Just "tags") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [Tag]))))) :*: ((S1 ('MetaSel ('Just "endpointName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: (S1 ('MetaSel ('Just "endpointArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: S1 ('MetaSel ('Just "endpointConfigName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text))) :*: (S1 ('MetaSel ('Just "endpointStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 EndpointStatus) :*: (S1 ('MetaSel ('Just "creationTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 POSIX) :*: S1 ('MetaSel ('Just "lastModifiedTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 POSIX))))))

newEndpoint Source #

Arguments

:: Text

Endpoint

-> Text

$sel:endpointArn:Endpoint'

-> Text

$sel:endpointConfigName:Endpoint'

-> EndpointStatus

$sel:endpointStatus:Endpoint'

-> UTCTime

Endpoint

-> UTCTime

Endpoint

-> Endpoint 

Create a value of Endpoint with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:dataCaptureConfig:Endpoint', endpoint_dataCaptureConfig - Undocumented member.

Endpoint, endpoint_failureReason - If the endpoint failed, the reason it failed.

$sel:monitoringSchedules:Endpoint', endpoint_monitoringSchedules - A list of monitoring schedules for the endpoint. For information about model monitoring, see Amazon SageMaker Model Monitor.

$sel:productionVariants:Endpoint', endpoint_productionVariants - A list of the production variants hosted on the endpoint. Each production variant is a model.

$sel:shadowProductionVariants:Endpoint', endpoint_shadowProductionVariants - A list of the shadow variants hosted on the endpoint. Each shadow variant is a model in shadow mode with production traffic replicated from the proudction variant.

Endpoint, endpoint_tags - A list of the tags associated with the endpoint. For more information, see Tagging Amazon Web Services resources in the Amazon Web Services General Reference Guide.

Endpoint, endpoint_endpointName - The name of the endpoint.

$sel:endpointArn:Endpoint', endpoint_endpointArn - The Amazon Resource Name (ARN) of the endpoint.

$sel:endpointConfigName:Endpoint', endpoint_endpointConfigName - The endpoint configuration associated with the endpoint.

$sel:endpointStatus:Endpoint', endpoint_endpointStatus - The status of the endpoint.

Endpoint, endpoint_creationTime - The time that the endpoint was created.

Endpoint, endpoint_lastModifiedTime - The last time the endpoint was modified.

endpoint_dataCaptureConfig :: Lens' Endpoint (Maybe DataCaptureConfigSummary) Source #

Undocumented member.

endpoint_failureReason :: Lens' Endpoint (Maybe Text) Source #

If the endpoint failed, the reason it failed.

endpoint_monitoringSchedules :: Lens' Endpoint (Maybe [MonitoringSchedule]) Source #

A list of monitoring schedules for the endpoint. For information about model monitoring, see Amazon SageMaker Model Monitor.

endpoint_productionVariants :: Lens' Endpoint (Maybe (NonEmpty ProductionVariantSummary)) Source #

A list of the production variants hosted on the endpoint. Each production variant is a model.

endpoint_shadowProductionVariants :: Lens' Endpoint (Maybe (NonEmpty ProductionVariantSummary)) Source #

A list of the shadow variants hosted on the endpoint. Each shadow variant is a model in shadow mode with production traffic replicated from the proudction variant.

endpoint_tags :: Lens' Endpoint (Maybe [Tag]) Source #

A list of the tags associated with the endpoint. For more information, see Tagging Amazon Web Services resources in the Amazon Web Services General Reference Guide.

endpoint_endpointName :: Lens' Endpoint Text Source #

The name of the endpoint.

endpoint_endpointArn :: Lens' Endpoint Text Source #

The Amazon Resource Name (ARN) of the endpoint.

endpoint_endpointConfigName :: Lens' Endpoint Text Source #

The endpoint configuration associated with the endpoint.

endpoint_endpointStatus :: Lens' Endpoint EndpointStatus Source #

The status of the endpoint.

endpoint_creationTime :: Lens' Endpoint UTCTime Source #

The time that the endpoint was created.

endpoint_lastModifiedTime :: Lens' Endpoint UTCTime Source #

The last time the endpoint was modified.

EndpointConfigSummary

data EndpointConfigSummary Source #

Provides summary information for an endpoint configuration.

See: newEndpointConfigSummary smart constructor.

Constructors

EndpointConfigSummary' 

Fields

Instances

Instances details
FromJSON EndpointConfigSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EndpointConfigSummary

Methods

parseJSON :: Value -> Parser EndpointConfigSummary #

parseJSONList :: Value -> Parser [EndpointConfigSummary] #

Generic EndpointConfigSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EndpointConfigSummary

Associated Types

type Rep EndpointConfigSummary :: Type -> Type #

Methods

from :: EndpointConfigSummary -> Rep EndpointConfigSummary x #

to :: Rep EndpointConfigSummary x -> EndpointConfigSummary #

Read EndpointConfigSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EndpointConfigSummary

Methods

readsPrec :: Int -> ReadS EndpointConfigSummary #

readList :: ReadS [EndpointConfigSummary] #

readPrec :: ReadPrec EndpointConfigSummary #

readListPrec :: ReadPrec [EndpointConfigSummary] #

Show EndpointConfigSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EndpointConfigSummary

Methods

showsPrec :: Int -> EndpointConfigSummary -> ShowS #

show :: EndpointConfigSummary -> String #

showList :: [EndpointConfigSummary] -> ShowS #

NFData EndpointConfigSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EndpointConfigSummary

Methods

rnf :: EndpointConfigSummary -> () #

Eq EndpointConfigSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EndpointConfigSummary

Methods

(==) :: EndpointConfigSummary -> EndpointConfigSummary -> Bool #

(/=) :: EndpointConfigSummary -> EndpointConfigSummary -> Bool #

Hashable EndpointConfigSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EndpointConfigSummary

Methods

hashWithSalt :: Int -> EndpointConfigSummary -> Int #

hash :: EndpointConfigSummary -> Int #

type Rep EndpointConfigSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EndpointConfigSummary

type Rep EndpointConfigSummary = D1 ('MetaData "EndpointConfigSummary" "Amazonka.SageMaker.Types.EndpointConfigSummary" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "EndpointConfigSummary'" 'PrefixI 'True) (S1 ('MetaSel ('Just "endpointConfigName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: (S1 ('MetaSel ('Just "endpointConfigArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: S1 ('MetaSel ('Just "creationTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 POSIX))))

newEndpointConfigSummary Source #

Arguments

:: Text

$sel:endpointConfigName:EndpointConfigSummary'

-> Text

$sel:endpointConfigArn:EndpointConfigSummary'

-> UTCTime

$sel:creationTime:EndpointConfigSummary'

-> EndpointConfigSummary 

Create a value of EndpointConfigSummary with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:endpointConfigName:EndpointConfigSummary', endpointConfigSummary_endpointConfigName - The name of the endpoint configuration.

$sel:endpointConfigArn:EndpointConfigSummary', endpointConfigSummary_endpointConfigArn - The Amazon Resource Name (ARN) of the endpoint configuration.

$sel:creationTime:EndpointConfigSummary', endpointConfigSummary_creationTime - A timestamp that shows when the endpoint configuration was created.

endpointConfigSummary_endpointConfigName :: Lens' EndpointConfigSummary Text Source #

The name of the endpoint configuration.

endpointConfigSummary_endpointConfigArn :: Lens' EndpointConfigSummary Text Source #

The Amazon Resource Name (ARN) of the endpoint configuration.

endpointConfigSummary_creationTime :: Lens' EndpointConfigSummary UTCTime Source #

A timestamp that shows when the endpoint configuration was created.

EndpointInfo

data EndpointInfo Source #

Details about a customer endpoint that was compared in an Inference Recommender job.

See: newEndpointInfo smart constructor.

Constructors

EndpointInfo' 

Fields

Instances

Instances details
FromJSON EndpointInfo Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EndpointInfo

Methods

parseJSON :: Value -> Parser EndpointInfo #

parseJSONList :: Value -> Parser [EndpointInfo] #

ToJSON EndpointInfo Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EndpointInfo

Methods

toJSON :: EndpointInfo -> Value #

toEncoding :: EndpointInfo -> Encoding #

toJSONList :: [EndpointInfo] -> Value #

toEncodingList :: [EndpointInfo] -> Encoding #

Generic EndpointInfo Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EndpointInfo

Associated Types

type Rep EndpointInfo :: Type -> Type #

Methods

from :: EndpointInfo -> Rep EndpointInfo x #

to :: Rep EndpointInfo x -> EndpointInfo #

Read EndpointInfo Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EndpointInfo

Methods

readsPrec :: Int -> ReadS EndpointInfo #

readList :: ReadS [EndpointInfo] #

readPrec :: ReadPrec EndpointInfo #

readListPrec :: ReadPrec [EndpointInfo] #

Show EndpointInfo Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EndpointInfo

Methods

showsPrec :: Int -> EndpointInfo -> ShowS #

show :: EndpointInfo -> String #

showList :: [EndpointInfo] -> ShowS #

NFData EndpointInfo Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EndpointInfo

Methods

rnf :: EndpointInfo -> () #

Eq EndpointInfo Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EndpointInfo

Methods

(==) :: EndpointInfo -> EndpointInfo -> Bool #

(/=) :: EndpointInfo -> EndpointInfo -> Bool #

Hashable EndpointInfo Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EndpointInfo

Methods

hashWithSalt :: Int -> EndpointInfo -> Int #

hash :: EndpointInfo -> Int #

type Rep EndpointInfo Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EndpointInfo

type Rep EndpointInfo = D1 ('MetaData "EndpointInfo" "Amazonka.SageMaker.Types.EndpointInfo" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "EndpointInfo'" 'PrefixI 'True) (S1 ('MetaSel ('Just "endpointName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))

newEndpointInfo Source #

Arguments

:: Text

$sel:endpointName:EndpointInfo'

-> EndpointInfo 

Create a value of EndpointInfo with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:endpointName:EndpointInfo', endpointInfo_endpointName - The name of a customer's endpoint.

endpointInfo_endpointName :: Lens' EndpointInfo Text Source #

The name of a customer's endpoint.

EndpointInput

data EndpointInput Source #

Input object for the endpoint

See: newEndpointInput smart constructor.

Constructors

EndpointInput' 

Fields

Instances

Instances details
FromJSON EndpointInput Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EndpointInput

Methods

parseJSON :: Value -> Parser EndpointInput #

parseJSONList :: Value -> Parser [EndpointInput] #

ToJSON EndpointInput Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EndpointInput

Methods

toJSON :: EndpointInput -> Value #

toEncoding :: EndpointInput -> Encoding #

toJSONList :: [EndpointInput] -> Value #

toEncodingList :: [EndpointInput] -> Encoding #

Generic EndpointInput Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EndpointInput

Associated Types

type Rep EndpointInput :: Type -> Type #

Methods

from :: EndpointInput -> Rep EndpointInput x #

to :: Rep EndpointInput x -> EndpointInput #

Read EndpointInput Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EndpointInput

Methods

readsPrec :: Int -> ReadS EndpointInput #

readList :: ReadS [EndpointInput] #

readPrec :: ReadPrec EndpointInput #

readListPrec :: ReadPrec [EndpointInput] #

Show EndpointInput Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EndpointInput

Methods

showsPrec :: Int -> EndpointInput -> ShowS #

show :: EndpointInput -> String #

showList :: [EndpointInput] -> ShowS #

NFData EndpointInput Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EndpointInput

Methods

rnf :: EndpointInput -> () #

Eq EndpointInput Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EndpointInput

Methods

(==) :: EndpointInput -> EndpointInput -> Bool #

(/=) :: EndpointInput -> EndpointInput -> Bool #

Hashable EndpointInput Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EndpointInput

Methods

hashWithSalt :: Int -> EndpointInput -> Int #

hash :: EndpointInput -> Int #

type Rep EndpointInput Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EndpointInput

type Rep EndpointInput = D1 ('MetaData "EndpointInput" "Amazonka.SageMaker.Types.EndpointInput" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "EndpointInput'" 'PrefixI 'True) (((S1 ('MetaSel ('Just "endTimeOffset") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "featuresAttribute") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))) :*: (S1 ('MetaSel ('Just "inferenceAttribute") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: (S1 ('MetaSel ('Just "probabilityAttribute") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "probabilityThresholdAttribute") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double))))) :*: ((S1 ('MetaSel ('Just "s3DataDistributionType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ProcessingS3DataDistributionType)) :*: S1 ('MetaSel ('Just "s3InputMode") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ProcessingS3InputMode))) :*: (S1 ('MetaSel ('Just "startTimeOffset") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: (S1 ('MetaSel ('Just "endpointName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: S1 ('MetaSel ('Just "localPath") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text))))))

newEndpointInput Source #

Arguments

:: Text

$sel:endpointName:EndpointInput'

-> Text

$sel:localPath:EndpointInput'

-> EndpointInput 

Create a value of EndpointInput with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:endTimeOffset:EndpointInput', endpointInput_endTimeOffset - If specified, monitoring jobs substract this time from the end time. For information about using offsets for scheduling monitoring jobs, see Schedule Model Quality Monitoring Jobs.

$sel:featuresAttribute:EndpointInput', endpointInput_featuresAttribute - The attributes of the input data that are the input features.

$sel:inferenceAttribute:EndpointInput', endpointInput_inferenceAttribute - The attribute of the input data that represents the ground truth label.

$sel:probabilityAttribute:EndpointInput', endpointInput_probabilityAttribute - In a classification problem, the attribute that represents the class probability.

$sel:probabilityThresholdAttribute:EndpointInput', endpointInput_probabilityThresholdAttribute - The threshold for the class probability to be evaluated as a positive result.

$sel:s3DataDistributionType:EndpointInput', endpointInput_s3DataDistributionType - Whether input data distributed in Amazon S3 is fully replicated or sharded by an S3 key. Defaults to FullyReplicated

$sel:s3InputMode:EndpointInput', endpointInput_s3InputMode - Whether the Pipe or File is used as the input mode for transferring data for the monitoring job. Pipe mode is recommended for large datasets. File mode is useful for small files that fit in memory. Defaults to File.

$sel:startTimeOffset:EndpointInput', endpointInput_startTimeOffset - If specified, monitoring jobs substract this time from the start time. For information about using offsets for scheduling monitoring jobs, see Schedule Model Quality Monitoring Jobs.

$sel:endpointName:EndpointInput', endpointInput_endpointName - An endpoint in customer's account which has enabled DataCaptureConfig enabled.

$sel:localPath:EndpointInput', endpointInput_localPath - Path to the filesystem where the endpoint data is available to the container.

endpointInput_endTimeOffset :: Lens' EndpointInput (Maybe Text) Source #

If specified, monitoring jobs substract this time from the end time. For information about using offsets for scheduling monitoring jobs, see Schedule Model Quality Monitoring Jobs.

endpointInput_featuresAttribute :: Lens' EndpointInput (Maybe Text) Source #

The attributes of the input data that are the input features.

endpointInput_inferenceAttribute :: Lens' EndpointInput (Maybe Text) Source #

The attribute of the input data that represents the ground truth label.

endpointInput_probabilityAttribute :: Lens' EndpointInput (Maybe Text) Source #

In a classification problem, the attribute that represents the class probability.

endpointInput_probabilityThresholdAttribute :: Lens' EndpointInput (Maybe Double) Source #

The threshold for the class probability to be evaluated as a positive result.

endpointInput_s3DataDistributionType :: Lens' EndpointInput (Maybe ProcessingS3DataDistributionType) Source #

Whether input data distributed in Amazon S3 is fully replicated or sharded by an S3 key. Defaults to FullyReplicated

endpointInput_s3InputMode :: Lens' EndpointInput (Maybe ProcessingS3InputMode) Source #

Whether the Pipe or File is used as the input mode for transferring data for the monitoring job. Pipe mode is recommended for large datasets. File mode is useful for small files that fit in memory. Defaults to File.

endpointInput_startTimeOffset :: Lens' EndpointInput (Maybe Text) Source #

If specified, monitoring jobs substract this time from the start time. For information about using offsets for scheduling monitoring jobs, see Schedule Model Quality Monitoring Jobs.

endpointInput_endpointName :: Lens' EndpointInput Text Source #

An endpoint in customer's account which has enabled DataCaptureConfig enabled.

endpointInput_localPath :: Lens' EndpointInput Text Source #

Path to the filesystem where the endpoint data is available to the container.

EndpointInputConfiguration

data EndpointInputConfiguration Source #

The endpoint configuration for the load test.

See: newEndpointInputConfiguration smart constructor.

Constructors

EndpointInputConfiguration' 

Fields

Instances

Instances details
FromJSON EndpointInputConfiguration Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EndpointInputConfiguration

Methods

parseJSON :: Value -> Parser EndpointInputConfiguration #

parseJSONList :: Value -> Parser [EndpointInputConfiguration] #

ToJSON EndpointInputConfiguration Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EndpointInputConfiguration

Methods

toJSON :: EndpointInputConfiguration -> Value #

toEncoding :: EndpointInputConfiguration -> Encoding #

toJSONList :: [EndpointInputConfiguration] -> Value #

toEncodingList :: [EndpointInputConfiguration] -> Encoding #

Generic EndpointInputConfiguration Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EndpointInputConfiguration

Associated Types

type Rep EndpointInputConfiguration :: Type -> Type #

Methods

from :: EndpointInputConfiguration -> Rep EndpointInputConfiguration x #

to :: Rep EndpointInputConfiguration x -> EndpointInputConfiguration #

Read EndpointInputConfiguration Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EndpointInputConfiguration

Methods

readsPrec :: Int -> ReadS EndpointInputConfiguration #

readList :: ReadS [EndpointInputConfiguration] #

readPrec :: ReadPrec EndpointInputConfiguration #

readListPrec :: ReadPrec [EndpointInputConfiguration] #

Show EndpointInputConfiguration Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EndpointInputConfiguration

Methods

showsPrec :: Int -> EndpointInputConfiguration -> ShowS #

show :: EndpointInputConfiguration -> String #

showList :: [EndpointInputConfiguration] -> ShowS #

NFData EndpointInputConfiguration Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EndpointInputConfiguration

Methods

rnf :: EndpointInputConfiguration -> () #

Eq EndpointInputConfiguration Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EndpointInputConfiguration

Methods

(==) :: EndpointInputConfiguration -> EndpointInputConfiguration -> Bool #

(/=) :: EndpointInputConfiguration -> EndpointInputConfiguration -> Bool #

Hashable EndpointInputConfiguration Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EndpointInputConfiguration

Methods

hashWithSalt :: Int -> EndpointInputConfiguration -> Int #

hash :: EndpointInputConfiguration -> Int #

type Rep EndpointInputConfiguration Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EndpointInputConfiguration

type Rep EndpointInputConfiguration = D1 ('MetaData "EndpointInputConfiguration" "Amazonka.SageMaker.Types.EndpointInputConfiguration" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "EndpointInputConfiguration'" 'PrefixI 'True) (S1 ('MetaSel ('Just "environmentParameterRanges") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe EnvironmentParameterRanges)) :*: (S1 ('MetaSel ('Just "inferenceSpecificationName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "instanceType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 ProductionVariantInstanceType))))

newEndpointInputConfiguration Source #

Arguments

:: ProductionVariantInstanceType

$sel:instanceType:EndpointInputConfiguration'

-> EndpointInputConfiguration 

Create a value of EndpointInputConfiguration with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:environmentParameterRanges:EndpointInputConfiguration', endpointInputConfiguration_environmentParameterRanges - The parameter you want to benchmark against.

$sel:inferenceSpecificationName:EndpointInputConfiguration', endpointInputConfiguration_inferenceSpecificationName - The inference specification name in the model package version.

$sel:instanceType:EndpointInputConfiguration', endpointInputConfiguration_instanceType - The instance types to use for the load test.

endpointInputConfiguration_environmentParameterRanges :: Lens' EndpointInputConfiguration (Maybe EnvironmentParameterRanges) Source #

The parameter you want to benchmark against.

endpointInputConfiguration_inferenceSpecificationName :: Lens' EndpointInputConfiguration (Maybe Text) Source #

The inference specification name in the model package version.

endpointInputConfiguration_instanceType :: Lens' EndpointInputConfiguration ProductionVariantInstanceType Source #

The instance types to use for the load test.

EndpointMetadata

data EndpointMetadata Source #

The metadata of the endpoint.

See: newEndpointMetadata smart constructor.

Constructors

EndpointMetadata' 

Fields

Instances

Instances details
FromJSON EndpointMetadata Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EndpointMetadata

Methods

parseJSON :: Value -> Parser EndpointMetadata #

parseJSONList :: Value -> Parser [EndpointMetadata] #

Generic EndpointMetadata Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EndpointMetadata

Associated Types

type Rep EndpointMetadata :: Type -> Type #

Methods

from :: EndpointMetadata -> Rep EndpointMetadata x #

to :: Rep EndpointMetadata x -> EndpointMetadata #

Read EndpointMetadata Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EndpointMetadata

Methods

readsPrec :: Int -> ReadS EndpointMetadata #

readList :: ReadS [EndpointMetadata] #

readPrec :: ReadPrec EndpointMetadata #

readListPrec :: ReadPrec [EndpointMetadata] #

Show EndpointMetadata Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EndpointMetadata

Methods

showsPrec :: Int -> EndpointMetadata -> ShowS #

show :: EndpointMetadata -> String #

showList :: [EndpointMetadata] -> ShowS #

NFData EndpointMetadata Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EndpointMetadata

Methods

rnf :: EndpointMetadata -> () #

Eq EndpointMetadata Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EndpointMetadata

Methods

(==) :: EndpointMetadata -> EndpointMetadata -> Bool #

(/=) :: EndpointMetadata -> EndpointMetadata -> Bool #

Hashable EndpointMetadata Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EndpointMetadata

Methods

hashWithSalt :: Int -> EndpointMetadata -> Int #

hash :: EndpointMetadata -> Int #

type Rep EndpointMetadata Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EndpointMetadata

type Rep EndpointMetadata = D1 ('MetaData "EndpointMetadata" "Amazonka.SageMaker.Types.EndpointMetadata" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "EndpointMetadata'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "endpointConfigName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "endpointStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe EndpointStatus))) :*: (S1 ('MetaSel ('Just "failureReason") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "endpointName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text))))

newEndpointMetadata Source #

Arguments

:: Text

$sel:endpointName:EndpointMetadata'

-> EndpointMetadata 

Create a value of EndpointMetadata with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:endpointConfigName:EndpointMetadata', endpointMetadata_endpointConfigName - The name of the endpoint configuration.

$sel:endpointStatus:EndpointMetadata', endpointMetadata_endpointStatus - The status of the endpoint. For possible values of the status of an endpoint, see EndpointSummary$EndpointStatus.

$sel:failureReason:EndpointMetadata', endpointMetadata_failureReason - If the status of the endpoint is Failed, or the status is InService but update operation fails, this provides the reason why it failed.

$sel:endpointName:EndpointMetadata', endpointMetadata_endpointName - The name of the endpoint.

endpointMetadata_endpointConfigName :: Lens' EndpointMetadata (Maybe Text) Source #

The name of the endpoint configuration.

endpointMetadata_endpointStatus :: Lens' EndpointMetadata (Maybe EndpointStatus) Source #

The status of the endpoint. For possible values of the status of an endpoint, see EndpointSummary$EndpointStatus.

endpointMetadata_failureReason :: Lens' EndpointMetadata (Maybe Text) Source #

If the status of the endpoint is Failed, or the status is InService but update operation fails, this provides the reason why it failed.

endpointMetadata_endpointName :: Lens' EndpointMetadata Text Source #

The name of the endpoint.

EndpointOutputConfiguration

data EndpointOutputConfiguration Source #

The endpoint configuration made by Inference Recommender during a recommendation job.

See: newEndpointOutputConfiguration smart constructor.

Constructors

EndpointOutputConfiguration' 

Fields

Instances

Instances details
FromJSON EndpointOutputConfiguration Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EndpointOutputConfiguration

Methods

parseJSON :: Value -> Parser EndpointOutputConfiguration #

parseJSONList :: Value -> Parser [EndpointOutputConfiguration] #

Generic EndpointOutputConfiguration Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EndpointOutputConfiguration

Associated Types

type Rep EndpointOutputConfiguration :: Type -> Type #

Methods

from :: EndpointOutputConfiguration -> Rep EndpointOutputConfiguration x #

to :: Rep EndpointOutputConfiguration x -> EndpointOutputConfiguration #

Read EndpointOutputConfiguration Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EndpointOutputConfiguration

Methods

readsPrec :: Int -> ReadS EndpointOutputConfiguration #

readList :: ReadS [EndpointOutputConfiguration] #

readPrec :: ReadPrec EndpointOutputConfiguration #

readListPrec :: ReadPrec [EndpointOutputConfiguration] #

Show EndpointOutputConfiguration Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EndpointOutputConfiguration

Methods

showsPrec :: Int -> EndpointOutputConfiguration -> ShowS #

show :: EndpointOutputConfiguration -> String #

showList :: [EndpointOutputConfiguration] -> ShowS #

NFData EndpointOutputConfiguration Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EndpointOutputConfiguration

Methods

rnf :: EndpointOutputConfiguration -> () #

Eq EndpointOutputConfiguration Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EndpointOutputConfiguration

Methods

(==) :: EndpointOutputConfiguration -> EndpointOutputConfiguration -> Bool #

(/=) :: EndpointOutputConfiguration -> EndpointOutputConfiguration -> Bool #

Hashable EndpointOutputConfiguration Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EndpointOutputConfiguration

Methods

hashWithSalt :: Int -> EndpointOutputConfiguration -> Int #

hash :: EndpointOutputConfiguration -> Int #

type Rep EndpointOutputConfiguration Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EndpointOutputConfiguration

type Rep EndpointOutputConfiguration = D1 ('MetaData "EndpointOutputConfiguration" "Amazonka.SageMaker.Types.EndpointOutputConfiguration" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "EndpointOutputConfiguration'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "endpointName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: S1 ('MetaSel ('Just "variantName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)) :*: (S1 ('MetaSel ('Just "instanceType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 ProductionVariantInstanceType) :*: S1 ('MetaSel ('Just "initialInstanceCount") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Int))))

newEndpointOutputConfiguration Source #

Arguments

:: Text

$sel:endpointName:EndpointOutputConfiguration'

-> Text

$sel:variantName:EndpointOutputConfiguration'

-> ProductionVariantInstanceType

$sel:instanceType:EndpointOutputConfiguration'

-> Int

$sel:initialInstanceCount:EndpointOutputConfiguration'

-> EndpointOutputConfiguration 

Create a value of EndpointOutputConfiguration with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:endpointName:EndpointOutputConfiguration', endpointOutputConfiguration_endpointName - The name of the endpoint made during a recommendation job.

$sel:variantName:EndpointOutputConfiguration', endpointOutputConfiguration_variantName - The name of the production variant (deployed model) made during a recommendation job.

$sel:instanceType:EndpointOutputConfiguration', endpointOutputConfiguration_instanceType - The instance type recommended by Amazon SageMaker Inference Recommender.

$sel:initialInstanceCount:EndpointOutputConfiguration', endpointOutputConfiguration_initialInstanceCount - The number of instances recommended to launch initially.

endpointOutputConfiguration_endpointName :: Lens' EndpointOutputConfiguration Text Source #

The name of the endpoint made during a recommendation job.

endpointOutputConfiguration_variantName :: Lens' EndpointOutputConfiguration Text Source #

The name of the production variant (deployed model) made during a recommendation job.

endpointOutputConfiguration_instanceType :: Lens' EndpointOutputConfiguration ProductionVariantInstanceType Source #

The instance type recommended by Amazon SageMaker Inference Recommender.

endpointOutputConfiguration_initialInstanceCount :: Lens' EndpointOutputConfiguration Int Source #

The number of instances recommended to launch initially.

EndpointPerformance

data EndpointPerformance Source #

The performance results from running an Inference Recommender job on an existing endpoint.

See: newEndpointPerformance smart constructor.

Constructors

EndpointPerformance' 

Fields

Instances

Instances details
FromJSON EndpointPerformance Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EndpointPerformance

Methods

parseJSON :: Value -> Parser EndpointPerformance #

parseJSONList :: Value -> Parser [EndpointPerformance] #

Generic EndpointPerformance Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EndpointPerformance

Associated Types

type Rep EndpointPerformance :: Type -> Type #

Methods

from :: EndpointPerformance -> Rep EndpointPerformance x #

to :: Rep EndpointPerformance x -> EndpointPerformance #

Read EndpointPerformance Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EndpointPerformance

Methods

readsPrec :: Int -> ReadS EndpointPerformance #

readList :: ReadS [EndpointPerformance] #

readPrec :: ReadPrec EndpointPerformance #

readListPrec :: ReadPrec [EndpointPerformance] #

Show EndpointPerformance Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EndpointPerformance

Methods

showsPrec :: Int -> EndpointPerformance -> ShowS #

show :: EndpointPerformance -> String #

showList :: [EndpointPerformance] -> ShowS #

NFData EndpointPerformance Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EndpointPerformance

Methods

rnf :: EndpointPerformance -> () #

Eq EndpointPerformance Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EndpointPerformance

Methods

(==) :: EndpointPerformance -> EndpointPerformance -> Bool #

(/=) :: EndpointPerformance -> EndpointPerformance -> Bool #

Hashable EndpointPerformance Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EndpointPerformance

Methods

hashWithSalt :: Int -> EndpointPerformance -> Int #

hash :: EndpointPerformance -> Int #

type Rep EndpointPerformance Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EndpointPerformance

type Rep EndpointPerformance = D1 ('MetaData "EndpointPerformance" "Amazonka.SageMaker.Types.EndpointPerformance" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "EndpointPerformance'" 'PrefixI 'True) (S1 ('MetaSel ('Just "metrics") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 InferenceMetrics) :*: S1 ('MetaSel ('Just "endpointInfo") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 EndpointInfo)))

newEndpointPerformance Source #

Arguments

:: InferenceMetrics

$sel:metrics:EndpointPerformance'

-> EndpointInfo

$sel:endpointInfo:EndpointPerformance'

-> EndpointPerformance 

Create a value of EndpointPerformance with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:metrics:EndpointPerformance', endpointPerformance_metrics - The metrics for an existing endpoint.

$sel:endpointInfo:EndpointPerformance', endpointPerformance_endpointInfo - Undocumented member.

endpointPerformance_metrics :: Lens' EndpointPerformance InferenceMetrics Source #

The metrics for an existing endpoint.

endpointPerformance_endpointInfo :: Lens' EndpointPerformance EndpointInfo Source #

Undocumented member.

EndpointSummary

data EndpointSummary Source #

Provides summary information for an endpoint.

See: newEndpointSummary smart constructor.

Constructors

EndpointSummary' 

Fields

  • endpointName :: Text

    The name of the endpoint.

  • endpointArn :: Text

    The Amazon Resource Name (ARN) of the endpoint.

  • creationTime :: POSIX

    A timestamp that shows when the endpoint was created.

  • lastModifiedTime :: POSIX

    A timestamp that shows when the endpoint was last modified.

  • endpointStatus :: EndpointStatus

    The status of the endpoint.

    • OutOfService: Endpoint is not available to take incoming requests.
    • Creating: CreateEndpoint is executing.
    • Updating: UpdateEndpoint or UpdateEndpointWeightsAndCapacities is executing.
    • SystemUpdating: Endpoint is undergoing maintenance and cannot be updated or deleted or re-scaled until it has completed. This maintenance operation does not change any customer-specified values such as VPC config, KMS encryption, model, instance type, or instance count.
    • RollingBack: Endpoint fails to scale up or down or change its variant weight and is in the process of rolling back to its previous configuration. Once the rollback completes, endpoint returns to an InService status. This transitional status only applies to an endpoint that has autoscaling enabled and is undergoing variant weight or capacity changes as part of an UpdateEndpointWeightsAndCapacities call or when the UpdateEndpointWeightsAndCapacities operation is called explicitly.
    • InService: Endpoint is available to process incoming requests.
    • Deleting: DeleteEndpoint is executing.
    • Failed: Endpoint could not be created, updated, or re-scaled. Use DescribeEndpointOutput$FailureReason for information about the failure. DeleteEndpoint is the only operation that can be performed on a failed endpoint.

    To get a list of endpoints with a specified status, use the ListEndpointsInput$StatusEquals filter.

Instances

Instances details
FromJSON EndpointSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EndpointSummary

Methods

parseJSON :: Value -> Parser EndpointSummary #

parseJSONList :: Value -> Parser [EndpointSummary] #

Generic EndpointSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EndpointSummary

Associated Types

type Rep EndpointSummary :: Type -> Type #

Methods

from :: EndpointSummary -> Rep EndpointSummary x #

to :: Rep EndpointSummary x -> EndpointSummary #

Read EndpointSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EndpointSummary

Methods

readsPrec :: Int -> ReadS EndpointSummary #

readList :: ReadS [EndpointSummary] #

readPrec :: ReadPrec EndpointSummary #

readListPrec :: ReadPrec [EndpointSummary] #

Show EndpointSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EndpointSummary

Methods

showsPrec :: Int -> EndpointSummary -> ShowS #

show :: EndpointSummary -> String #

showList :: [EndpointSummary] -> ShowS #

NFData EndpointSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EndpointSummary

Methods

rnf :: EndpointSummary -> () #

Eq EndpointSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EndpointSummary

Methods

(==) :: EndpointSummary -> EndpointSummary -> Bool #

(/=) :: EndpointSummary -> EndpointSummary -> Bool #

Hashable EndpointSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EndpointSummary

Methods

hashWithSalt :: Int -> EndpointSummary -> Int #

hash :: EndpointSummary -> Int #

type Rep EndpointSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EndpointSummary

type Rep EndpointSummary = D1 ('MetaData "EndpointSummary" "Amazonka.SageMaker.Types.EndpointSummary" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "EndpointSummary'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "endpointName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: S1 ('MetaSel ('Just "endpointArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)) :*: (S1 ('MetaSel ('Just "creationTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 POSIX) :*: (S1 ('MetaSel ('Just "lastModifiedTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 POSIX) :*: S1 ('MetaSel ('Just "endpointStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 EndpointStatus)))))

newEndpointSummary Source #

Arguments

:: Text

$sel:endpointName:EndpointSummary'

-> Text

$sel:endpointArn:EndpointSummary'

-> UTCTime

$sel:creationTime:EndpointSummary'

-> UTCTime

$sel:lastModifiedTime:EndpointSummary'

-> EndpointStatus

$sel:endpointStatus:EndpointSummary'

-> EndpointSummary 

Create a value of EndpointSummary with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:endpointName:EndpointSummary', endpointSummary_endpointName - The name of the endpoint.

$sel:endpointArn:EndpointSummary', endpointSummary_endpointArn - The Amazon Resource Name (ARN) of the endpoint.

$sel:creationTime:EndpointSummary', endpointSummary_creationTime - A timestamp that shows when the endpoint was created.

$sel:lastModifiedTime:EndpointSummary', endpointSummary_lastModifiedTime - A timestamp that shows when the endpoint was last modified.

$sel:endpointStatus:EndpointSummary', endpointSummary_endpointStatus - The status of the endpoint.

  • OutOfService: Endpoint is not available to take incoming requests.
  • Creating: CreateEndpoint is executing.
  • Updating: UpdateEndpoint or UpdateEndpointWeightsAndCapacities is executing.
  • SystemUpdating: Endpoint is undergoing maintenance and cannot be updated or deleted or re-scaled until it has completed. This maintenance operation does not change any customer-specified values such as VPC config, KMS encryption, model, instance type, or instance count.
  • RollingBack: Endpoint fails to scale up or down or change its variant weight and is in the process of rolling back to its previous configuration. Once the rollback completes, endpoint returns to an InService status. This transitional status only applies to an endpoint that has autoscaling enabled and is undergoing variant weight or capacity changes as part of an UpdateEndpointWeightsAndCapacities call or when the UpdateEndpointWeightsAndCapacities operation is called explicitly.
  • InService: Endpoint is available to process incoming requests.
  • Deleting: DeleteEndpoint is executing.
  • Failed: Endpoint could not be created, updated, or re-scaled. Use DescribeEndpointOutput$FailureReason for information about the failure. DeleteEndpoint is the only operation that can be performed on a failed endpoint.

To get a list of endpoints with a specified status, use the ListEndpointsInput$StatusEquals filter.

endpointSummary_endpointName :: Lens' EndpointSummary Text Source #

The name of the endpoint.

endpointSummary_endpointArn :: Lens' EndpointSummary Text Source #

The Amazon Resource Name (ARN) of the endpoint.

endpointSummary_creationTime :: Lens' EndpointSummary UTCTime Source #

A timestamp that shows when the endpoint was created.

endpointSummary_lastModifiedTime :: Lens' EndpointSummary UTCTime Source #

A timestamp that shows when the endpoint was last modified.

endpointSummary_endpointStatus :: Lens' EndpointSummary EndpointStatus Source #

The status of the endpoint.

  • OutOfService: Endpoint is not available to take incoming requests.
  • Creating: CreateEndpoint is executing.
  • Updating: UpdateEndpoint or UpdateEndpointWeightsAndCapacities is executing.
  • SystemUpdating: Endpoint is undergoing maintenance and cannot be updated or deleted or re-scaled until it has completed. This maintenance operation does not change any customer-specified values such as VPC config, KMS encryption, model, instance type, or instance count.
  • RollingBack: Endpoint fails to scale up or down or change its variant weight and is in the process of rolling back to its previous configuration. Once the rollback completes, endpoint returns to an InService status. This transitional status only applies to an endpoint that has autoscaling enabled and is undergoing variant weight or capacity changes as part of an UpdateEndpointWeightsAndCapacities call or when the UpdateEndpointWeightsAndCapacities operation is called explicitly.
  • InService: Endpoint is available to process incoming requests.
  • Deleting: DeleteEndpoint is executing.
  • Failed: Endpoint could not be created, updated, or re-scaled. Use DescribeEndpointOutput$FailureReason for information about the failure. DeleteEndpoint is the only operation that can be performed on a failed endpoint.

To get a list of endpoints with a specified status, use the ListEndpointsInput$StatusEquals filter.

EnvironmentParameter

data EnvironmentParameter Source #

A list of environment parameters suggested by the Amazon SageMaker Inference Recommender.

See: newEnvironmentParameter smart constructor.

Constructors

EnvironmentParameter' 

Fields

  • key :: Text

    The environment key suggested by the Amazon SageMaker Inference Recommender.

  • valueType :: Text

    The value type suggested by the Amazon SageMaker Inference Recommender.

  • value :: Text

    The value suggested by the Amazon SageMaker Inference Recommender.

Instances

Instances details
FromJSON EnvironmentParameter Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EnvironmentParameter

Methods

parseJSON :: Value -> Parser EnvironmentParameter #

parseJSONList :: Value -> Parser [EnvironmentParameter] #

Generic EnvironmentParameter Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EnvironmentParameter

Associated Types

type Rep EnvironmentParameter :: Type -> Type #

Methods

from :: EnvironmentParameter -> Rep EnvironmentParameter x #

to :: Rep EnvironmentParameter x -> EnvironmentParameter #

Read EnvironmentParameter Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EnvironmentParameter

Methods

readsPrec :: Int -> ReadS EnvironmentParameter #

readList :: ReadS [EnvironmentParameter] #

readPrec :: ReadPrec EnvironmentParameter #

readListPrec :: ReadPrec [EnvironmentParameter] #

Show EnvironmentParameter Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EnvironmentParameter

Methods

showsPrec :: Int -> EnvironmentParameter -> ShowS #

show :: EnvironmentParameter -> String #

showList :: [EnvironmentParameter] -> ShowS #

NFData EnvironmentParameter Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EnvironmentParameter

Methods

rnf :: EnvironmentParameter -> () #

Eq EnvironmentParameter Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EnvironmentParameter

Methods

(==) :: EnvironmentParameter -> EnvironmentParameter -> Bool #

(/=) :: EnvironmentParameter -> EnvironmentParameter -> Bool #

Hashable EnvironmentParameter Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EnvironmentParameter

Methods

hashWithSalt :: Int -> EnvironmentParameter -> Int #

hash :: EnvironmentParameter -> Int #

type Rep EnvironmentParameter Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EnvironmentParameter

type Rep EnvironmentParameter = D1 ('MetaData "EnvironmentParameter" "Amazonka.SageMaker.Types.EnvironmentParameter" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "EnvironmentParameter'" 'PrefixI 'True) (S1 ('MetaSel ('Just "key") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: (S1 ('MetaSel ('Just "valueType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: S1 ('MetaSel ('Just "value") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text))))

newEnvironmentParameter Source #

Arguments

:: Text

$sel:key:EnvironmentParameter'

-> Text

$sel:valueType:EnvironmentParameter'

-> Text

$sel:value:EnvironmentParameter'

-> EnvironmentParameter 

Create a value of EnvironmentParameter with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:key:EnvironmentParameter', environmentParameter_key - The environment key suggested by the Amazon SageMaker Inference Recommender.

$sel:valueType:EnvironmentParameter', environmentParameter_valueType - The value type suggested by the Amazon SageMaker Inference Recommender.

$sel:value:EnvironmentParameter', environmentParameter_value - The value suggested by the Amazon SageMaker Inference Recommender.

environmentParameter_key :: Lens' EnvironmentParameter Text Source #

The environment key suggested by the Amazon SageMaker Inference Recommender.

environmentParameter_valueType :: Lens' EnvironmentParameter Text Source #

The value type suggested by the Amazon SageMaker Inference Recommender.

environmentParameter_value :: Lens' EnvironmentParameter Text Source #

The value suggested by the Amazon SageMaker Inference Recommender.

EnvironmentParameterRanges

data EnvironmentParameterRanges Source #

Specifies the range of environment parameters

See: newEnvironmentParameterRanges smart constructor.

Constructors

EnvironmentParameterRanges' 

Fields

Instances

Instances details
FromJSON EnvironmentParameterRanges Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EnvironmentParameterRanges

Methods

parseJSON :: Value -> Parser EnvironmentParameterRanges #

parseJSONList :: Value -> Parser [EnvironmentParameterRanges] #

ToJSON EnvironmentParameterRanges Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EnvironmentParameterRanges

Methods

toJSON :: EnvironmentParameterRanges -> Value #

toEncoding :: EnvironmentParameterRanges -> Encoding #

toJSONList :: [EnvironmentParameterRanges] -> Value #

toEncodingList :: [EnvironmentParameterRanges] -> Encoding #

Generic EnvironmentParameterRanges Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EnvironmentParameterRanges

Associated Types

type Rep EnvironmentParameterRanges :: Type -> Type #

Methods

from :: EnvironmentParameterRanges -> Rep EnvironmentParameterRanges x #

to :: Rep EnvironmentParameterRanges x -> EnvironmentParameterRanges #

Read EnvironmentParameterRanges Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EnvironmentParameterRanges

Methods

readsPrec :: Int -> ReadS EnvironmentParameterRanges #

readList :: ReadS [EnvironmentParameterRanges] #

readPrec :: ReadPrec EnvironmentParameterRanges #

readListPrec :: ReadPrec [EnvironmentParameterRanges] #

Show EnvironmentParameterRanges Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EnvironmentParameterRanges

Methods

showsPrec :: Int -> EnvironmentParameterRanges -> ShowS #

show :: EnvironmentParameterRanges -> String #

showList :: [EnvironmentParameterRanges] -> ShowS #

NFData EnvironmentParameterRanges Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EnvironmentParameterRanges

Methods

rnf :: EnvironmentParameterRanges -> () #

Eq EnvironmentParameterRanges Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EnvironmentParameterRanges

Methods

(==) :: EnvironmentParameterRanges -> EnvironmentParameterRanges -> Bool #

(/=) :: EnvironmentParameterRanges -> EnvironmentParameterRanges -> Bool #

Hashable EnvironmentParameterRanges Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EnvironmentParameterRanges

Methods

hashWithSalt :: Int -> EnvironmentParameterRanges -> Int #

hash :: EnvironmentParameterRanges -> Int #

type Rep EnvironmentParameterRanges Source # 
Instance details

Defined in Amazonka.SageMaker.Types.EnvironmentParameterRanges

type Rep EnvironmentParameterRanges = D1 ('MetaData "EnvironmentParameterRanges" "Amazonka.SageMaker.Types.EnvironmentParameterRanges" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "EnvironmentParameterRanges'" 'PrefixI 'True) (S1 ('MetaSel ('Just "categoricalParameterRanges") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe (NonEmpty CategoricalParameter)))))

newEnvironmentParameterRanges :: EnvironmentParameterRanges Source #

Create a value of EnvironmentParameterRanges with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:categoricalParameterRanges:EnvironmentParameterRanges', environmentParameterRanges_categoricalParameterRanges - Specified a list of parameters for each category.

environmentParameterRanges_categoricalParameterRanges :: Lens' EnvironmentParameterRanges (Maybe (NonEmpty CategoricalParameter)) Source #

Specified a list of parameters for each category.

Experiment

data Experiment Source #

The properties of an experiment as returned by the Search API.

See: newExperiment smart constructor.

Constructors

Experiment' 

Fields

Instances

Instances details
FromJSON Experiment Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Experiment

Methods

parseJSON :: Value -> Parser Experiment #

parseJSONList :: Value -> Parser [Experiment] #

Generic Experiment Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Experiment

Associated Types

type Rep Experiment :: Type -> Type #

Methods

from :: Experiment -> Rep Experiment x #

to :: Rep Experiment x -> Experiment #

Read Experiment Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Experiment

Methods

readsPrec :: Int -> ReadS Experiment #

readList :: ReadS [Experiment] #

readPrec :: ReadPrec Experiment #

readListPrec :: ReadPrec [Experiment] #

Show Experiment Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Experiment

Methods

showsPrec :: Int -> Experiment -> ShowS #

show :: Experiment -> String #

showList :: [Experiment] -> ShowS #

NFData Experiment Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Experiment

Methods

rnf :: Experiment -> () #

Eq Experiment Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Experiment

Methods

(==) :: Experiment -> Experiment -> Bool #

(/=) :: Experiment -> Experiment -> Bool #

Hashable Experiment Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Experiment

Methods

hashWithSalt :: Int -> Experiment -> Int #

hash :: Experiment -> Int #

type Rep Experiment Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Experiment

type Rep Experiment = D1 ('MetaData "Experiment" "Amazonka.SageMaker.Types.Experiment" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "Experiment'" 'PrefixI 'True) (((S1 ('MetaSel ('Just "createdBy") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe UserContext)) :*: S1 ('MetaSel ('Just "creationTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX))) :*: (S1 ('MetaSel ('Just "description") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: (S1 ('MetaSel ('Just "displayName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "experimentArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))) :*: ((S1 ('MetaSel ('Just "experimentName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "lastModifiedBy") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe UserContext))) :*: (S1 ('MetaSel ('Just "lastModifiedTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :*: (S1 ('MetaSel ('Just "source") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ExperimentSource)) :*: S1 ('MetaSel ('Just "tags") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [Tag])))))))

newExperiment :: Experiment Source #

Create a value of Experiment with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:createdBy:Experiment', experiment_createdBy - Who created the experiment.

$sel:creationTime:Experiment', experiment_creationTime - When the experiment was created.

$sel:description:Experiment', experiment_description - The description of the experiment.

$sel:displayName:Experiment', experiment_displayName - The name of the experiment as displayed. If DisplayName isn't specified, ExperimentName is displayed.

$sel:experimentArn:Experiment', experiment_experimentArn - The Amazon Resource Name (ARN) of the experiment.

$sel:experimentName:Experiment', experiment_experimentName - The name of the experiment.

$sel:lastModifiedBy:Experiment', experiment_lastModifiedBy - Undocumented member.

$sel:lastModifiedTime:Experiment', experiment_lastModifiedTime - When the experiment was last modified.

$sel:source:Experiment', experiment_source - Undocumented member.

$sel:tags:Experiment', experiment_tags - The list of tags that are associated with the experiment. You can use Search API to search on the tags.

experiment_createdBy :: Lens' Experiment (Maybe UserContext) Source #

Who created the experiment.

experiment_creationTime :: Lens' Experiment (Maybe UTCTime) Source #

When the experiment was created.

experiment_description :: Lens' Experiment (Maybe Text) Source #

The description of the experiment.

experiment_displayName :: Lens' Experiment (Maybe Text) Source #

The name of the experiment as displayed. If DisplayName isn't specified, ExperimentName is displayed.

experiment_experimentArn :: Lens' Experiment (Maybe Text) Source #

The Amazon Resource Name (ARN) of the experiment.

experiment_experimentName :: Lens' Experiment (Maybe Text) Source #

The name of the experiment.

experiment_lastModifiedBy :: Lens' Experiment (Maybe UserContext) Source #

Undocumented member.

experiment_lastModifiedTime :: Lens' Experiment (Maybe UTCTime) Source #

When the experiment was last modified.

experiment_source :: Lens' Experiment (Maybe ExperimentSource) Source #

Undocumented member.

experiment_tags :: Lens' Experiment (Maybe [Tag]) Source #

The list of tags that are associated with the experiment. You can use Search API to search on the tags.

ExperimentConfig

data ExperimentConfig Source #

Associates a SageMaker job as a trial component with an experiment and trial. Specified when you call the following APIs:

  • CreateProcessingJob
  • CreateTrainingJob
  • CreateTransformJob

See: newExperimentConfig smart constructor.

Constructors

ExperimentConfig' 

Fields

  • experimentName :: Maybe Text

    The name of an existing experiment to associate with the trial component.

  • runName :: Maybe Text

    The name of the experiment run to associate with the trial component.

  • trialComponentDisplayName :: Maybe Text

    The display name for the trial component. If this key isn't specified, the display name is the trial component name.

  • trialName :: Maybe Text

    The name of an existing trial to associate the trial component with. If not specified, a new trial is created.

Instances

Instances details
FromJSON ExperimentConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ExperimentConfig

Methods

parseJSON :: Value -> Parser ExperimentConfig #

parseJSONList :: Value -> Parser [ExperimentConfig] #

ToJSON ExperimentConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ExperimentConfig

Methods

toJSON :: ExperimentConfig -> Value #

toEncoding :: ExperimentConfig -> Encoding #

toJSONList :: [ExperimentConfig] -> Value #

toEncodingList :: [ExperimentConfig] -> Encoding #

Generic ExperimentConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ExperimentConfig

Associated Types

type Rep ExperimentConfig :: Type -> Type #

Methods

from :: ExperimentConfig -> Rep ExperimentConfig x #

to :: Rep ExperimentConfig x -> ExperimentConfig #

Read ExperimentConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ExperimentConfig

Methods

readsPrec :: Int -> ReadS ExperimentConfig #

readList :: ReadS [ExperimentConfig] #

readPrec :: ReadPrec ExperimentConfig #

readListPrec :: ReadPrec [ExperimentConfig] #

Show ExperimentConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ExperimentConfig

Methods

showsPrec :: Int -> ExperimentConfig -> ShowS #

show :: ExperimentConfig -> String #

showList :: [ExperimentConfig] -> ShowS #

NFData ExperimentConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ExperimentConfig

Methods

rnf :: ExperimentConfig -> () #

Eq ExperimentConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ExperimentConfig

Methods

(==) :: ExperimentConfig -> ExperimentConfig -> Bool #

(/=) :: ExperimentConfig -> ExperimentConfig -> Bool #

Hashable ExperimentConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ExperimentConfig

Methods

hashWithSalt :: Int -> ExperimentConfig -> Int #

hash :: ExperimentConfig -> Int #

type Rep ExperimentConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ExperimentConfig

type Rep ExperimentConfig = D1 ('MetaData "ExperimentConfig" "Amazonka.SageMaker.Types.ExperimentConfig" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "ExperimentConfig'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "experimentName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "runName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))) :*: (S1 ('MetaSel ('Just "trialComponentDisplayName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "trialName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))))

newExperimentConfig :: ExperimentConfig Source #

Create a value of ExperimentConfig with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:experimentName:ExperimentConfig', experimentConfig_experimentName - The name of an existing experiment to associate with the trial component.

$sel:runName:ExperimentConfig', experimentConfig_runName - The name of the experiment run to associate with the trial component.

$sel:trialComponentDisplayName:ExperimentConfig', experimentConfig_trialComponentDisplayName - The display name for the trial component. If this key isn't specified, the display name is the trial component name.

$sel:trialName:ExperimentConfig', experimentConfig_trialName - The name of an existing trial to associate the trial component with. If not specified, a new trial is created.

experimentConfig_experimentName :: Lens' ExperimentConfig (Maybe Text) Source #

The name of an existing experiment to associate with the trial component.

experimentConfig_runName :: Lens' ExperimentConfig (Maybe Text) Source #

The name of the experiment run to associate with the trial component.

experimentConfig_trialComponentDisplayName :: Lens' ExperimentConfig (Maybe Text) Source #

The display name for the trial component. If this key isn't specified, the display name is the trial component name.

experimentConfig_trialName :: Lens' ExperimentConfig (Maybe Text) Source #

The name of an existing trial to associate the trial component with. If not specified, a new trial is created.

ExperimentSource

data ExperimentSource Source #

The source of the experiment.

See: newExperimentSource smart constructor.

Constructors

ExperimentSource' 

Fields

Instances

Instances details
FromJSON ExperimentSource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ExperimentSource

Methods

parseJSON :: Value -> Parser ExperimentSource #

parseJSONList :: Value -> Parser [ExperimentSource] #

Generic ExperimentSource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ExperimentSource

Associated Types

type Rep ExperimentSource :: Type -> Type #

Methods

from :: ExperimentSource -> Rep ExperimentSource x #

to :: Rep ExperimentSource x -> ExperimentSource #

Read ExperimentSource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ExperimentSource

Methods

readsPrec :: Int -> ReadS ExperimentSource #

readList :: ReadS [ExperimentSource] #

readPrec :: ReadPrec ExperimentSource #

readListPrec :: ReadPrec [ExperimentSource] #

Show ExperimentSource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ExperimentSource

Methods

showsPrec :: Int -> ExperimentSource -> ShowS #

show :: ExperimentSource -> String #

showList :: [ExperimentSource] -> ShowS #

NFData ExperimentSource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ExperimentSource

Methods

rnf :: ExperimentSource -> () #

Eq ExperimentSource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ExperimentSource

Methods

(==) :: ExperimentSource -> ExperimentSource -> Bool #

(/=) :: ExperimentSource -> ExperimentSource -> Bool #

Hashable ExperimentSource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ExperimentSource

Methods

hashWithSalt :: Int -> ExperimentSource -> Int #

hash :: ExperimentSource -> Int #

type Rep ExperimentSource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ExperimentSource

type Rep ExperimentSource = D1 ('MetaData "ExperimentSource" "Amazonka.SageMaker.Types.ExperimentSource" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "ExperimentSource'" 'PrefixI 'True) (S1 ('MetaSel ('Just "sourceType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "sourceArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))

newExperimentSource Source #

Arguments

:: Text

$sel:sourceArn:ExperimentSource'

-> ExperimentSource 

Create a value of ExperimentSource with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:sourceType:ExperimentSource', experimentSource_sourceType - The source type.

$sel:sourceArn:ExperimentSource', experimentSource_sourceArn - The Amazon Resource Name (ARN) of the source.

experimentSource_sourceType :: Lens' ExperimentSource (Maybe Text) Source #

The source type.

experimentSource_sourceArn :: Lens' ExperimentSource Text Source #

The Amazon Resource Name (ARN) of the source.

ExperimentSummary

data ExperimentSummary Source #

A summary of the properties of an experiment. To get the complete set of properties, call the DescribeExperiment API and provide the ExperimentName.

See: newExperimentSummary smart constructor.

Constructors

ExperimentSummary' 

Fields

Instances

Instances details
FromJSON ExperimentSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ExperimentSummary

Methods

parseJSON :: Value -> Parser ExperimentSummary #

parseJSONList :: Value -> Parser [ExperimentSummary] #

Generic ExperimentSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ExperimentSummary

Associated Types

type Rep ExperimentSummary :: Type -> Type #

Methods

from :: ExperimentSummary -> Rep ExperimentSummary x #

to :: Rep ExperimentSummary x -> ExperimentSummary #

Read ExperimentSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ExperimentSummary

Methods

readsPrec :: Int -> ReadS ExperimentSummary #

readList :: ReadS [ExperimentSummary] #

readPrec :: ReadPrec ExperimentSummary #

readListPrec :: ReadPrec [ExperimentSummary] #

Show ExperimentSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ExperimentSummary

Methods

showsPrec :: Int -> ExperimentSummary -> ShowS #

show :: ExperimentSummary -> String #

showList :: [ExperimentSummary] -> ShowS #

NFData ExperimentSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ExperimentSummary

Methods

rnf :: ExperimentSummary -> () #

Eq ExperimentSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ExperimentSummary

Methods

(==) :: ExperimentSummary -> ExperimentSummary -> Bool #

(/=) :: ExperimentSummary -> ExperimentSummary -> Bool #

Hashable ExperimentSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ExperimentSummary

Methods

hashWithSalt :: Int -> ExperimentSummary -> Int #

hash :: ExperimentSummary -> Int #

type Rep ExperimentSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ExperimentSummary

type Rep ExperimentSummary = D1 ('MetaData "ExperimentSummary" "Amazonka.SageMaker.Types.ExperimentSummary" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "ExperimentSummary'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "creationTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :*: (S1 ('MetaSel ('Just "displayName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "experimentArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))) :*: (S1 ('MetaSel ('Just "experimentName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: (S1 ('MetaSel ('Just "experimentSource") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ExperimentSource)) :*: S1 ('MetaSel ('Just "lastModifiedTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX))))))

newExperimentSummary :: ExperimentSummary Source #

Create a value of ExperimentSummary with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:creationTime:ExperimentSummary', experimentSummary_creationTime - When the experiment was created.

$sel:displayName:ExperimentSummary', experimentSummary_displayName - The name of the experiment as displayed. If DisplayName isn't specified, ExperimentName is displayed.

$sel:experimentArn:ExperimentSummary', experimentSummary_experimentArn - The Amazon Resource Name (ARN) of the experiment.

$sel:experimentName:ExperimentSummary', experimentSummary_experimentName - The name of the experiment.

$sel:experimentSource:ExperimentSummary', experimentSummary_experimentSource - Undocumented member.

$sel:lastModifiedTime:ExperimentSummary', experimentSummary_lastModifiedTime - When the experiment was last modified.

experimentSummary_creationTime :: Lens' ExperimentSummary (Maybe UTCTime) Source #

When the experiment was created.

experimentSummary_displayName :: Lens' ExperimentSummary (Maybe Text) Source #

The name of the experiment as displayed. If DisplayName isn't specified, ExperimentName is displayed.

experimentSummary_experimentArn :: Lens' ExperimentSummary (Maybe Text) Source #

The Amazon Resource Name (ARN) of the experiment.

experimentSummary_experimentName :: Lens' ExperimentSummary (Maybe Text) Source #

The name of the experiment.

experimentSummary_experimentSource :: Lens' ExperimentSummary (Maybe ExperimentSource) Source #

Undocumented member.

experimentSummary_lastModifiedTime :: Lens' ExperimentSummary (Maybe UTCTime) Source #

When the experiment was last modified.

Explainability

data Explainability Source #

Contains explainability metrics for a model.

See: newExplainability smart constructor.

Constructors

Explainability' 

Fields

Instances

Instances details
FromJSON Explainability Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Explainability

Methods

parseJSON :: Value -> Parser Explainability #

parseJSONList :: Value -> Parser [Explainability] #

ToJSON Explainability Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Explainability

Methods

toJSON :: Explainability -> Value #

toEncoding :: Explainability -> Encoding #

toJSONList :: [Explainability] -> Value #

toEncodingList :: [Explainability] -> Encoding #

Generic Explainability Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Explainability

Associated Types

type Rep Explainability :: Type -> Type #

Methods

from :: Explainability -> Rep Explainability x #

to :: Rep Explainability x -> Explainability #

Read Explainability Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Explainability

Methods

readsPrec :: Int -> ReadS Explainability #

readList :: ReadS [Explainability] #

readPrec :: ReadPrec Explainability #

readListPrec :: ReadPrec [Explainability] #

Show Explainability Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Explainability

Methods

showsPrec :: Int -> Explainability -> ShowS #

show :: Explainability -> String #

showList :: [Explainability] -> ShowS #

NFData Explainability Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Explainability

Methods

rnf :: Explainability -> () #

Eq Explainability Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Explainability

Methods

(==) :: Explainability -> Explainability -> Bool #

(/=) :: Explainability -> Explainability -> Bool #

Hashable Explainability Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Explainability

Methods

hashWithSalt :: Int -> Explainability -> Int #

hash :: Explainability -> Int #

type Rep Explainability Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Explainability

type Rep Explainability = D1 ('MetaData "Explainability" "Amazonka.SageMaker.Types.Explainability" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "Explainability'" 'PrefixI 'True) (S1 ('MetaSel ('Just "report") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe MetricsSource))))

newExplainability :: Explainability Source #

Create a value of Explainability with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:report:Explainability', explainability_report - The explainability report for a model.

explainability_report :: Lens' Explainability (Maybe MetricsSource) Source #

The explainability report for a model.

ExplainerConfig

data ExplainerConfig Source #

A parameter to activate explainers.

See: newExplainerConfig smart constructor.

Constructors

ExplainerConfig' 

Fields

Instances

Instances details
FromJSON ExplainerConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ExplainerConfig

Methods

parseJSON :: Value -> Parser ExplainerConfig #

parseJSONList :: Value -> Parser [ExplainerConfig] #

ToJSON ExplainerConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ExplainerConfig

Methods

toJSON :: ExplainerConfig -> Value #

toEncoding :: ExplainerConfig -> Encoding #

toJSONList :: [ExplainerConfig] -> Value #

toEncodingList :: [ExplainerConfig] -> Encoding #

Generic ExplainerConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ExplainerConfig

Associated Types

type Rep ExplainerConfig :: Type -> Type #

Methods

from :: ExplainerConfig -> Rep ExplainerConfig x #

to :: Rep ExplainerConfig x -> ExplainerConfig #

Read ExplainerConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ExplainerConfig

Methods

readsPrec :: Int -> ReadS ExplainerConfig #

readList :: ReadS [ExplainerConfig] #

readPrec :: ReadPrec ExplainerConfig #

readListPrec :: ReadPrec [ExplainerConfig] #

Show ExplainerConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ExplainerConfig

Methods

showsPrec :: Int -> ExplainerConfig -> ShowS #

show :: ExplainerConfig -> String #

showList :: [ExplainerConfig] -> ShowS #

NFData ExplainerConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ExplainerConfig

Methods

rnf :: ExplainerConfig -> () #

Eq ExplainerConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ExplainerConfig

Methods

(==) :: ExplainerConfig -> ExplainerConfig -> Bool #

(/=) :: ExplainerConfig -> ExplainerConfig -> Bool #

Hashable ExplainerConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ExplainerConfig

Methods

hashWithSalt :: Int -> ExplainerConfig -> Int #

hash :: ExplainerConfig -> Int #

type Rep ExplainerConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ExplainerConfig

type Rep ExplainerConfig = D1 ('MetaData "ExplainerConfig" "Amazonka.SageMaker.Types.ExplainerConfig" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "ExplainerConfig'" 'PrefixI 'True) (S1 ('MetaSel ('Just "clarifyExplainerConfig") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ClarifyExplainerConfig))))

newExplainerConfig :: ExplainerConfig Source #

Create a value of ExplainerConfig with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:clarifyExplainerConfig:ExplainerConfig', explainerConfig_clarifyExplainerConfig - A member of ExplainerConfig that contains configuration parameters for the SageMaker Clarify explainer.

explainerConfig_clarifyExplainerConfig :: Lens' ExplainerConfig (Maybe ClarifyExplainerConfig) Source #

A member of ExplainerConfig that contains configuration parameters for the SageMaker Clarify explainer.

FailStepMetadata

data FailStepMetadata Source #

The container for the metadata for Fail step.

See: newFailStepMetadata smart constructor.

Constructors

FailStepMetadata' 

Fields

  • errorMessage :: Maybe Text

    A message that you define and then is processed and rendered by the Fail step when the error occurs.

Instances

Instances details
FromJSON FailStepMetadata Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FailStepMetadata

Methods

parseJSON :: Value -> Parser FailStepMetadata #

parseJSONList :: Value -> Parser [FailStepMetadata] #

Generic FailStepMetadata Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FailStepMetadata

Associated Types

type Rep FailStepMetadata :: Type -> Type #

Methods

from :: FailStepMetadata -> Rep FailStepMetadata x #

to :: Rep FailStepMetadata x -> FailStepMetadata #

Read FailStepMetadata Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FailStepMetadata

Methods

readsPrec :: Int -> ReadS FailStepMetadata #

readList :: ReadS [FailStepMetadata] #

readPrec :: ReadPrec FailStepMetadata #

readListPrec :: ReadPrec [FailStepMetadata] #

Show FailStepMetadata Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FailStepMetadata

Methods

showsPrec :: Int -> FailStepMetadata -> ShowS #

show :: FailStepMetadata -> String #

showList :: [FailStepMetadata] -> ShowS #

NFData FailStepMetadata Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FailStepMetadata

Methods

rnf :: FailStepMetadata -> () #

Eq FailStepMetadata Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FailStepMetadata

Methods

(==) :: FailStepMetadata -> FailStepMetadata -> Bool #

(/=) :: FailStepMetadata -> FailStepMetadata -> Bool #

Hashable FailStepMetadata Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FailStepMetadata

Methods

hashWithSalt :: Int -> FailStepMetadata -> Int #

hash :: FailStepMetadata -> Int #

type Rep FailStepMetadata Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FailStepMetadata

type Rep FailStepMetadata = D1 ('MetaData "FailStepMetadata" "Amazonka.SageMaker.Types.FailStepMetadata" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "FailStepMetadata'" 'PrefixI 'True) (S1 ('MetaSel ('Just "errorMessage") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))

newFailStepMetadata :: FailStepMetadata Source #

Create a value of FailStepMetadata with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:errorMessage:FailStepMetadata', failStepMetadata_errorMessage - A message that you define and then is processed and rendered by the Fail step when the error occurs.

failStepMetadata_errorMessage :: Lens' FailStepMetadata (Maybe Text) Source #

A message that you define and then is processed and rendered by the Fail step when the error occurs.

FeatureDefinition

data FeatureDefinition Source #

A list of features. You must include FeatureName and FeatureType. Valid feature FeatureTypes are Integral, Fractional and String.

See: newFeatureDefinition smart constructor.

Constructors

FeatureDefinition' 

Fields

  • featureName :: Maybe Text

    The name of a feature. The type must be a string. FeatureName cannot be any of the following: is_deleted, write_time, api_invocation_time.

  • featureType :: Maybe FeatureType

    The value type of a feature. Valid values are Integral, Fractional, or String.

Instances

Instances details
FromJSON FeatureDefinition Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FeatureDefinition

Methods

parseJSON :: Value -> Parser FeatureDefinition #

parseJSONList :: Value -> Parser [FeatureDefinition] #

ToJSON FeatureDefinition Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FeatureDefinition

Methods

toJSON :: FeatureDefinition -> Value #

toEncoding :: FeatureDefinition -> Encoding #

toJSONList :: [FeatureDefinition] -> Value #

toEncodingList :: [FeatureDefinition] -> Encoding #

Generic FeatureDefinition Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FeatureDefinition

Associated Types

type Rep FeatureDefinition :: Type -> Type #

Methods

from :: FeatureDefinition -> Rep FeatureDefinition x #

to :: Rep FeatureDefinition x -> FeatureDefinition #

Read FeatureDefinition Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FeatureDefinition

Methods

readsPrec :: Int -> ReadS FeatureDefinition #

readList :: ReadS [FeatureDefinition] #

readPrec :: ReadPrec FeatureDefinition #

readListPrec :: ReadPrec [FeatureDefinition] #

Show FeatureDefinition Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FeatureDefinition

Methods

showsPrec :: Int -> FeatureDefinition -> ShowS #

show :: FeatureDefinition -> String #

showList :: [FeatureDefinition] -> ShowS #

NFData FeatureDefinition Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FeatureDefinition

Methods

rnf :: FeatureDefinition -> () #

Eq FeatureDefinition Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FeatureDefinition

Methods

(==) :: FeatureDefinition -> FeatureDefinition -> Bool #

(/=) :: FeatureDefinition -> FeatureDefinition -> Bool #

Hashable FeatureDefinition Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FeatureDefinition

Methods

hashWithSalt :: Int -> FeatureDefinition -> Int #

hash :: FeatureDefinition -> Int #

type Rep FeatureDefinition Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FeatureDefinition

type Rep FeatureDefinition = D1 ('MetaData "FeatureDefinition" "Amazonka.SageMaker.Types.FeatureDefinition" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "FeatureDefinition'" 'PrefixI 'True) (S1 ('MetaSel ('Just "featureName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "featureType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe FeatureType))))

newFeatureDefinition :: FeatureDefinition Source #

Create a value of FeatureDefinition with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:featureName:FeatureDefinition', featureDefinition_featureName - The name of a feature. The type must be a string. FeatureName cannot be any of the following: is_deleted, write_time, api_invocation_time.

$sel:featureType:FeatureDefinition', featureDefinition_featureType - The value type of a feature. Valid values are Integral, Fractional, or String.

featureDefinition_featureName :: Lens' FeatureDefinition (Maybe Text) Source #

The name of a feature. The type must be a string. FeatureName cannot be any of the following: is_deleted, write_time, api_invocation_time.

featureDefinition_featureType :: Lens' FeatureDefinition (Maybe FeatureType) Source #

The value type of a feature. Valid values are Integral, Fractional, or String.

FeatureGroup

data FeatureGroup Source #

Amazon SageMaker Feature Store stores features in a collection called Feature Group. A Feature Group can be visualized as a table which has rows, with a unique identifier for each row where each column in the table is a feature. In principle, a Feature Group is composed of features and values per features.

See: newFeatureGroup smart constructor.

Constructors

FeatureGroup' 

Fields

Instances

Instances details
FromJSON FeatureGroup Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FeatureGroup

Methods

parseJSON :: Value -> Parser FeatureGroup #

parseJSONList :: Value -> Parser [FeatureGroup] #

Generic FeatureGroup Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FeatureGroup

Associated Types

type Rep FeatureGroup :: Type -> Type #

Methods

from :: FeatureGroup -> Rep FeatureGroup x #

to :: Rep FeatureGroup x -> FeatureGroup #

Read FeatureGroup Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FeatureGroup

Methods

readsPrec :: Int -> ReadS FeatureGroup #

readList :: ReadS [FeatureGroup] #

readPrec :: ReadPrec FeatureGroup #

readListPrec :: ReadPrec [FeatureGroup] #

Show FeatureGroup Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FeatureGroup

Methods

showsPrec :: Int -> FeatureGroup -> ShowS #

show :: FeatureGroup -> String #

showList :: [FeatureGroup] -> ShowS #

NFData FeatureGroup Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FeatureGroup

Methods

rnf :: FeatureGroup -> () #

Eq FeatureGroup Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FeatureGroup

Methods

(==) :: FeatureGroup -> FeatureGroup -> Bool #

(/=) :: FeatureGroup -> FeatureGroup -> Bool #

Hashable FeatureGroup Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FeatureGroup

Methods

hashWithSalt :: Int -> FeatureGroup -> Int #

hash :: FeatureGroup -> Int #

type Rep FeatureGroup Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FeatureGroup

type Rep FeatureGroup = D1 ('MetaData "FeatureGroup" "Amazonka.SageMaker.Types.FeatureGroup" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "FeatureGroup'" 'PrefixI 'True) ((((S1 ('MetaSel ('Just "creationTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :*: S1 ('MetaSel ('Just "description") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))) :*: (S1 ('MetaSel ('Just "eventTimeFeatureName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "failureReason") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))) :*: ((S1 ('MetaSel ('Just "featureDefinitions") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe (NonEmpty FeatureDefinition))) :*: S1 ('MetaSel ('Just "featureGroupArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))) :*: (S1 ('MetaSel ('Just "featureGroupName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "featureGroupStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe FeatureGroupStatus))))) :*: (((S1 ('MetaSel ('Just "lastModifiedTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :*: S1 ('MetaSel ('Just "lastUpdateStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe LastUpdateStatus))) :*: (S1 ('MetaSel ('Just "offlineStoreConfig") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe OfflineStoreConfig)) :*: S1 ('MetaSel ('Just "offlineStoreStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe OfflineStoreStatus)))) :*: ((S1 ('MetaSel ('Just "onlineStoreConfig") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe OnlineStoreConfig)) :*: S1 ('MetaSel ('Just "recordIdentifierFeatureName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))) :*: (S1 ('MetaSel ('Just "roleArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "tags") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [Tag])))))))

newFeatureGroup :: FeatureGroup Source #

Create a value of FeatureGroup with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:creationTime:FeatureGroup', featureGroup_creationTime - The time a FeatureGroup was created.

$sel:description:FeatureGroup', featureGroup_description - A free form description of a FeatureGroup.

$sel:eventTimeFeatureName:FeatureGroup', featureGroup_eventTimeFeatureName - The name of the feature that stores the EventTime of a Record in a FeatureGroup.

A EventTime is point in time when a new event occurs that corresponds to the creation or update of a Record in FeatureGroup. All Records in the FeatureGroup must have a corresponding EventTime.

FeatureGroup, featureGroup_failureReason - The reason that the FeatureGroup failed to be replicated in the OfflineStore. This is failure may be due to a failure to create a FeatureGroup in or delete a FeatureGroup from the OfflineStore.

$sel:featureDefinitions:FeatureGroup', featureGroup_featureDefinitions - A list of Features. Each Feature must include a FeatureName and a FeatureType.

Valid FeatureTypes are Integral, Fractional and String.

FeatureNames cannot be any of the following: is_deleted, write_time, api_invocation_time.

You can create up to 2,500 FeatureDefinitions per FeatureGroup.

$sel:featureGroupArn:FeatureGroup', featureGroup_featureGroupArn - The Amazon Resource Name (ARN) of a FeatureGroup.

$sel:featureGroupName:FeatureGroup', featureGroup_featureGroupName - The name of the FeatureGroup.

$sel:featureGroupStatus:FeatureGroup', featureGroup_featureGroupStatus - A FeatureGroup status.

$sel:lastModifiedTime:FeatureGroup', featureGroup_lastModifiedTime - A timestamp indicating the last time you updated the feature group.

$sel:lastUpdateStatus:FeatureGroup', featureGroup_lastUpdateStatus - A value that indicates whether the feature group was updated successfully.

$sel:offlineStoreConfig:FeatureGroup', featureGroup_offlineStoreConfig - Undocumented member.

$sel:offlineStoreStatus:FeatureGroup', featureGroup_offlineStoreStatus - Undocumented member.

$sel:onlineStoreConfig:FeatureGroup', featureGroup_onlineStoreConfig - Undocumented member.

$sel:recordIdentifierFeatureName:FeatureGroup', featureGroup_recordIdentifierFeatureName - The name of the Feature whose value uniquely identifies a Record defined in the FeatureGroup FeatureDefinitions.

$sel:roleArn:FeatureGroup', featureGroup_roleArn - The Amazon Resource Name (ARN) of the IAM execution role used to create the feature group.

$sel:tags:FeatureGroup', featureGroup_tags - Tags used to define a FeatureGroup.

featureGroup_creationTime :: Lens' FeatureGroup (Maybe UTCTime) Source #

The time a FeatureGroup was created.

featureGroup_description :: Lens' FeatureGroup (Maybe Text) Source #

A free form description of a FeatureGroup.

featureGroup_eventTimeFeatureName :: Lens' FeatureGroup (Maybe Text) Source #

The name of the feature that stores the EventTime of a Record in a FeatureGroup.

A EventTime is point in time when a new event occurs that corresponds to the creation or update of a Record in FeatureGroup. All Records in the FeatureGroup must have a corresponding EventTime.

featureGroup_failureReason :: Lens' FeatureGroup (Maybe Text) Source #

The reason that the FeatureGroup failed to be replicated in the OfflineStore. This is failure may be due to a failure to create a FeatureGroup in or delete a FeatureGroup from the OfflineStore.

featureGroup_featureDefinitions :: Lens' FeatureGroup (Maybe (NonEmpty FeatureDefinition)) Source #

A list of Features. Each Feature must include a FeatureName and a FeatureType.

Valid FeatureTypes are Integral, Fractional and String.

FeatureNames cannot be any of the following: is_deleted, write_time, api_invocation_time.

You can create up to 2,500 FeatureDefinitions per FeatureGroup.

featureGroup_featureGroupArn :: Lens' FeatureGroup (Maybe Text) Source #

The Amazon Resource Name (ARN) of a FeatureGroup.

featureGroup_featureGroupName :: Lens' FeatureGroup (Maybe Text) Source #

The name of the FeatureGroup.

featureGroup_featureGroupStatus :: Lens' FeatureGroup (Maybe FeatureGroupStatus) Source #

A FeatureGroup status.

featureGroup_lastModifiedTime :: Lens' FeatureGroup (Maybe UTCTime) Source #

A timestamp indicating the last time you updated the feature group.

featureGroup_lastUpdateStatus :: Lens' FeatureGroup (Maybe LastUpdateStatus) Source #

A value that indicates whether the feature group was updated successfully.

featureGroup_offlineStoreConfig :: Lens' FeatureGroup (Maybe OfflineStoreConfig) Source #

Undocumented member.

featureGroup_offlineStoreStatus :: Lens' FeatureGroup (Maybe OfflineStoreStatus) Source #

Undocumented member.

featureGroup_onlineStoreConfig :: Lens' FeatureGroup (Maybe OnlineStoreConfig) Source #

Undocumented member.

featureGroup_recordIdentifierFeatureName :: Lens' FeatureGroup (Maybe Text) Source #

The name of the Feature whose value uniquely identifies a Record defined in the FeatureGroup FeatureDefinitions.

featureGroup_roleArn :: Lens' FeatureGroup (Maybe Text) Source #

The Amazon Resource Name (ARN) of the IAM execution role used to create the feature group.

featureGroup_tags :: Lens' FeatureGroup (Maybe [Tag]) Source #

Tags used to define a FeatureGroup.

FeatureGroupSummary

data FeatureGroupSummary Source #

The name, Arn, CreationTime, FeatureGroup values, LastUpdatedTime and EnableOnlineStorage status of a FeatureGroup.

See: newFeatureGroupSummary smart constructor.

Constructors

FeatureGroupSummary' 

Fields

Instances

Instances details
FromJSON FeatureGroupSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FeatureGroupSummary

Methods

parseJSON :: Value -> Parser FeatureGroupSummary #

parseJSONList :: Value -> Parser [FeatureGroupSummary] #

Generic FeatureGroupSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FeatureGroupSummary

Associated Types

type Rep FeatureGroupSummary :: Type -> Type #

Methods

from :: FeatureGroupSummary -> Rep FeatureGroupSummary x #

to :: Rep FeatureGroupSummary x -> FeatureGroupSummary #

Read FeatureGroupSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FeatureGroupSummary

Methods

readsPrec :: Int -> ReadS FeatureGroupSummary #

readList :: ReadS [FeatureGroupSummary] #

readPrec :: ReadPrec FeatureGroupSummary #

readListPrec :: ReadPrec [FeatureGroupSummary] #

Show FeatureGroupSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FeatureGroupSummary

Methods

showsPrec :: Int -> FeatureGroupSummary -> ShowS #

show :: FeatureGroupSummary -> String #

showList :: [FeatureGroupSummary] -> ShowS #

NFData FeatureGroupSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FeatureGroupSummary

Methods

rnf :: FeatureGroupSummary -> () #

Eq FeatureGroupSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FeatureGroupSummary

Methods

(==) :: FeatureGroupSummary -> FeatureGroupSummary -> Bool #

(/=) :: FeatureGroupSummary -> FeatureGroupSummary -> Bool #

Hashable FeatureGroupSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FeatureGroupSummary

Methods

hashWithSalt :: Int -> FeatureGroupSummary -> Int #

hash :: FeatureGroupSummary -> Int #

type Rep FeatureGroupSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FeatureGroupSummary

type Rep FeatureGroupSummary = D1 ('MetaData "FeatureGroupSummary" "Amazonka.SageMaker.Types.FeatureGroupSummary" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "FeatureGroupSummary'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "featureGroupStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe FeatureGroupStatus)) :*: S1 ('MetaSel ('Just "offlineStoreStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe OfflineStoreStatus))) :*: (S1 ('MetaSel ('Just "featureGroupName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: (S1 ('MetaSel ('Just "featureGroupArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: S1 ('MetaSel ('Just "creationTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 POSIX)))))

newFeatureGroupSummary Source #

Arguments

:: Text

$sel:featureGroupName:FeatureGroupSummary'

-> Text

$sel:featureGroupArn:FeatureGroupSummary'

-> UTCTime

$sel:creationTime:FeatureGroupSummary'

-> FeatureGroupSummary 

Create a value of FeatureGroupSummary with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:featureGroupStatus:FeatureGroupSummary', featureGroupSummary_featureGroupStatus - The status of a FeatureGroup. The status can be any of the following: Creating, Created, CreateFail, Deleting or DetailFail.

$sel:offlineStoreStatus:FeatureGroupSummary', featureGroupSummary_offlineStoreStatus - Notifies you if replicating data into the OfflineStore has failed. Returns either: Active or Blocked.

$sel:featureGroupName:FeatureGroupSummary', featureGroupSummary_featureGroupName - The name of FeatureGroup.

$sel:featureGroupArn:FeatureGroupSummary', featureGroupSummary_featureGroupArn - Unique identifier for the FeatureGroup.

$sel:creationTime:FeatureGroupSummary', featureGroupSummary_creationTime - A timestamp indicating the time of creation time of the FeatureGroup.

featureGroupSummary_featureGroupStatus :: Lens' FeatureGroupSummary (Maybe FeatureGroupStatus) Source #

The status of a FeatureGroup. The status can be any of the following: Creating, Created, CreateFail, Deleting or DetailFail.

featureGroupSummary_offlineStoreStatus :: Lens' FeatureGroupSummary (Maybe OfflineStoreStatus) Source #

Notifies you if replicating data into the OfflineStore has failed. Returns either: Active or Blocked.

featureGroupSummary_featureGroupName :: Lens' FeatureGroupSummary Text Source #

The name of FeatureGroup.

featureGroupSummary_featureGroupArn :: Lens' FeatureGroupSummary Text Source #

Unique identifier for the FeatureGroup.

featureGroupSummary_creationTime :: Lens' FeatureGroupSummary UTCTime Source #

A timestamp indicating the time of creation time of the FeatureGroup.

FeatureMetadata

data FeatureMetadata Source #

The metadata for a feature. It can either be metadata that you specify, or metadata that is updated automatically.

See: newFeatureMetadata smart constructor.

Constructors

FeatureMetadata' 

Fields

Instances

Instances details
FromJSON FeatureMetadata Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FeatureMetadata

Methods

parseJSON :: Value -> Parser FeatureMetadata #

parseJSONList :: Value -> Parser [FeatureMetadata] #

Generic FeatureMetadata Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FeatureMetadata

Associated Types

type Rep FeatureMetadata :: Type -> Type #

Methods

from :: FeatureMetadata -> Rep FeatureMetadata x #

to :: Rep FeatureMetadata x -> FeatureMetadata #

Read FeatureMetadata Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FeatureMetadata

Methods

readsPrec :: Int -> ReadS FeatureMetadata #

readList :: ReadS [FeatureMetadata] #

readPrec :: ReadPrec FeatureMetadata #

readListPrec :: ReadPrec [FeatureMetadata] #

Show FeatureMetadata Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FeatureMetadata

Methods

showsPrec :: Int -> FeatureMetadata -> ShowS #

show :: FeatureMetadata -> String #

showList :: [FeatureMetadata] -> ShowS #

NFData FeatureMetadata Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FeatureMetadata

Methods

rnf :: FeatureMetadata -> () #

Eq FeatureMetadata Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FeatureMetadata

Methods

(==) :: FeatureMetadata -> FeatureMetadata -> Bool #

(/=) :: FeatureMetadata -> FeatureMetadata -> Bool #

Hashable FeatureMetadata Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FeatureMetadata

Methods

hashWithSalt :: Int -> FeatureMetadata -> Int #

hash :: FeatureMetadata -> Int #

type Rep FeatureMetadata Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FeatureMetadata

type Rep FeatureMetadata = D1 ('MetaData "FeatureMetadata" "Amazonka.SageMaker.Types.FeatureMetadata" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "FeatureMetadata'" 'PrefixI 'True) (((S1 ('MetaSel ('Just "creationTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :*: S1 ('MetaSel ('Just "description") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))) :*: (S1 ('MetaSel ('Just "featureGroupArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "featureGroupName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))) :*: ((S1 ('MetaSel ('Just "featureName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "featureType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe FeatureType))) :*: (S1 ('MetaSel ('Just "lastModifiedTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :*: S1 ('MetaSel ('Just "parameters") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [FeatureParameter]))))))

newFeatureMetadata :: FeatureMetadata Source #

Create a value of FeatureMetadata with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:creationTime:FeatureMetadata', featureMetadata_creationTime - A timestamp indicating when the feature was created.

$sel:description:FeatureMetadata', featureMetadata_description - An optional description that you specify to better describe the feature.

$sel:featureGroupArn:FeatureMetadata', featureMetadata_featureGroupArn - The Amazon Resource Number (ARN) of the feature group.

$sel:featureGroupName:FeatureMetadata', featureMetadata_featureGroupName - The name of the feature group containing the feature.

$sel:featureName:FeatureMetadata', featureMetadata_featureName - The name of feature.

$sel:featureType:FeatureMetadata', featureMetadata_featureType - The data type of the feature.

$sel:lastModifiedTime:FeatureMetadata', featureMetadata_lastModifiedTime - A timestamp indicating when the feature was last modified.

$sel:parameters:FeatureMetadata', featureMetadata_parameters - Optional key-value pairs that you specify to better describe the feature.

featureMetadata_creationTime :: Lens' FeatureMetadata (Maybe UTCTime) Source #

A timestamp indicating when the feature was created.

featureMetadata_description :: Lens' FeatureMetadata (Maybe Text) Source #

An optional description that you specify to better describe the feature.

featureMetadata_featureGroupArn :: Lens' FeatureMetadata (Maybe Text) Source #

The Amazon Resource Number (ARN) of the feature group.

featureMetadata_featureGroupName :: Lens' FeatureMetadata (Maybe Text) Source #

The name of the feature group containing the feature.

featureMetadata_featureName :: Lens' FeatureMetadata (Maybe Text) Source #

The name of feature.

featureMetadata_featureType :: Lens' FeatureMetadata (Maybe FeatureType) Source #

The data type of the feature.

featureMetadata_lastModifiedTime :: Lens' FeatureMetadata (Maybe UTCTime) Source #

A timestamp indicating when the feature was last modified.

featureMetadata_parameters :: Lens' FeatureMetadata (Maybe [FeatureParameter]) Source #

Optional key-value pairs that you specify to better describe the feature.

FeatureParameter

data FeatureParameter Source #

A key-value pair that you specify to describe the feature.

See: newFeatureParameter smart constructor.

Constructors

FeatureParameter' 

Fields

Instances

Instances details
FromJSON FeatureParameter Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FeatureParameter

Methods

parseJSON :: Value -> Parser FeatureParameter #

parseJSONList :: Value -> Parser [FeatureParameter] #

ToJSON FeatureParameter Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FeatureParameter

Methods

toJSON :: FeatureParameter -> Value #

toEncoding :: FeatureParameter -> Encoding #

toJSONList :: [FeatureParameter] -> Value #

toEncodingList :: [FeatureParameter] -> Encoding #

Generic FeatureParameter Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FeatureParameter

Associated Types

type Rep FeatureParameter :: Type -> Type #

Methods

from :: FeatureParameter -> Rep FeatureParameter x #

to :: Rep FeatureParameter x -> FeatureParameter #

Read FeatureParameter Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FeatureParameter

Methods

readsPrec :: Int -> ReadS FeatureParameter #

readList :: ReadS [FeatureParameter] #

readPrec :: ReadPrec FeatureParameter #

readListPrec :: ReadPrec [FeatureParameter] #

Show FeatureParameter Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FeatureParameter

Methods

showsPrec :: Int -> FeatureParameter -> ShowS #

show :: FeatureParameter -> String #

showList :: [FeatureParameter] -> ShowS #

NFData FeatureParameter Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FeatureParameter

Methods

rnf :: FeatureParameter -> () #

Eq FeatureParameter Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FeatureParameter

Methods

(==) :: FeatureParameter -> FeatureParameter -> Bool #

(/=) :: FeatureParameter -> FeatureParameter -> Bool #

Hashable FeatureParameter Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FeatureParameter

Methods

hashWithSalt :: Int -> FeatureParameter -> Int #

hash :: FeatureParameter -> Int #

type Rep FeatureParameter Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FeatureParameter

type Rep FeatureParameter = D1 ('MetaData "FeatureParameter" "Amazonka.SageMaker.Types.FeatureParameter" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "FeatureParameter'" 'PrefixI 'True) (S1 ('MetaSel ('Just "key") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "value") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))

newFeatureParameter :: FeatureParameter Source #

Create a value of FeatureParameter with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:key:FeatureParameter', featureParameter_key - A key that must contain a value to describe the feature.

$sel:value:FeatureParameter', featureParameter_value - The value that belongs to a key.

featureParameter_key :: Lens' FeatureParameter (Maybe Text) Source #

A key that must contain a value to describe the feature.

featureParameter_value :: Lens' FeatureParameter (Maybe Text) Source #

The value that belongs to a key.

FileSource

data FileSource Source #

Contains details regarding the file source.

See: newFileSource smart constructor.

Constructors

FileSource' 

Fields

Instances

Instances details
FromJSON FileSource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FileSource

Methods

parseJSON :: Value -> Parser FileSource #

parseJSONList :: Value -> Parser [FileSource] #

ToJSON FileSource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FileSource

Methods

toJSON :: FileSource -> Value #

toEncoding :: FileSource -> Encoding #

toJSONList :: [FileSource] -> Value #

toEncodingList :: [FileSource] -> Encoding #

Generic FileSource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FileSource

Associated Types

type Rep FileSource :: Type -> Type #

Methods

from :: FileSource -> Rep FileSource x #

to :: Rep FileSource x -> FileSource #

Read FileSource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FileSource

Methods

readsPrec :: Int -> ReadS FileSource #

readList :: ReadS [FileSource] #

readPrec :: ReadPrec FileSource #

readListPrec :: ReadPrec [FileSource] #

Show FileSource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FileSource

Methods

showsPrec :: Int -> FileSource -> ShowS #

show :: FileSource -> String #

showList :: [FileSource] -> ShowS #

NFData FileSource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FileSource

Methods

rnf :: FileSource -> () #

Eq FileSource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FileSource

Methods

(==) :: FileSource -> FileSource -> Bool #

(/=) :: FileSource -> FileSource -> Bool #

Hashable FileSource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FileSource

Methods

hashWithSalt :: Int -> FileSource -> Int #

hash :: FileSource -> Int #

type Rep FileSource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FileSource

type Rep FileSource = D1 ('MetaData "FileSource" "Amazonka.SageMaker.Types.FileSource" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "FileSource'" 'PrefixI 'True) (S1 ('MetaSel ('Just "contentDigest") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: (S1 ('MetaSel ('Just "contentType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "s3Uri") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text))))

newFileSource Source #

Arguments

:: Text

$sel:s3Uri:FileSource'

-> FileSource 

Create a value of FileSource with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:contentDigest:FileSource', fileSource_contentDigest - The digest of the file source.

$sel:contentType:FileSource', fileSource_contentType - The type of content stored in the file source.

$sel:s3Uri:FileSource', fileSource_s3Uri - The Amazon S3 URI for the file source.

fileSource_contentDigest :: Lens' FileSource (Maybe Text) Source #

The digest of the file source.

fileSource_contentType :: Lens' FileSource (Maybe Text) Source #

The type of content stored in the file source.

fileSource_s3Uri :: Lens' FileSource Text Source #

The Amazon S3 URI for the file source.

FileSystemConfig

data FileSystemConfig Source #

The Amazon Elastic File System (EFS) storage configuration for a SageMaker image.

See: newFileSystemConfig smart constructor.

Constructors

FileSystemConfig' 

Fields

  • defaultGid :: Maybe Natural

    The default POSIX group ID (GID). If not specified, defaults to 100.

  • defaultUid :: Maybe Natural

    The default POSIX user ID (UID). If not specified, defaults to 1000.

  • mountPath :: Maybe Text

    The path within the image to mount the user's EFS home directory. The directory should be empty. If not specified, defaults to /home/sagemaker-user.

Instances

Instances details
FromJSON FileSystemConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FileSystemConfig

Methods

parseJSON :: Value -> Parser FileSystemConfig #

parseJSONList :: Value -> Parser [FileSystemConfig] #

ToJSON FileSystemConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FileSystemConfig

Methods

toJSON :: FileSystemConfig -> Value #

toEncoding :: FileSystemConfig -> Encoding #

toJSONList :: [FileSystemConfig] -> Value #

toEncodingList :: [FileSystemConfig] -> Encoding #

Generic FileSystemConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FileSystemConfig

Associated Types

type Rep FileSystemConfig :: Type -> Type #

Methods

from :: FileSystemConfig -> Rep FileSystemConfig x #

to :: Rep FileSystemConfig x -> FileSystemConfig #

Read FileSystemConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FileSystemConfig

Methods

readsPrec :: Int -> ReadS FileSystemConfig #

readList :: ReadS [FileSystemConfig] #

readPrec :: ReadPrec FileSystemConfig #

readListPrec :: ReadPrec [FileSystemConfig] #

Show FileSystemConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FileSystemConfig

Methods

showsPrec :: Int -> FileSystemConfig -> ShowS #

show :: FileSystemConfig -> String #

showList :: [FileSystemConfig] -> ShowS #

NFData FileSystemConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FileSystemConfig

Methods

rnf :: FileSystemConfig -> () #

Eq FileSystemConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FileSystemConfig

Methods

(==) :: FileSystemConfig -> FileSystemConfig -> Bool #

(/=) :: FileSystemConfig -> FileSystemConfig -> Bool #

Hashable FileSystemConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FileSystemConfig

Methods

hashWithSalt :: Int -> FileSystemConfig -> Int #

hash :: FileSystemConfig -> Int #

type Rep FileSystemConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FileSystemConfig

type Rep FileSystemConfig = D1 ('MetaData "FileSystemConfig" "Amazonka.SageMaker.Types.FileSystemConfig" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "FileSystemConfig'" 'PrefixI 'True) (S1 ('MetaSel ('Just "defaultGid") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural)) :*: (S1 ('MetaSel ('Just "defaultUid") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural)) :*: S1 ('MetaSel ('Just "mountPath") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))))

newFileSystemConfig :: FileSystemConfig Source #

Create a value of FileSystemConfig with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:defaultGid:FileSystemConfig', fileSystemConfig_defaultGid - The default POSIX group ID (GID). If not specified, defaults to 100.

$sel:defaultUid:FileSystemConfig', fileSystemConfig_defaultUid - The default POSIX user ID (UID). If not specified, defaults to 1000.

$sel:mountPath:FileSystemConfig', fileSystemConfig_mountPath - The path within the image to mount the user's EFS home directory. The directory should be empty. If not specified, defaults to /home/sagemaker-user.

fileSystemConfig_defaultGid :: Lens' FileSystemConfig (Maybe Natural) Source #

The default POSIX group ID (GID). If not specified, defaults to 100.

fileSystemConfig_defaultUid :: Lens' FileSystemConfig (Maybe Natural) Source #

The default POSIX user ID (UID). If not specified, defaults to 1000.

fileSystemConfig_mountPath :: Lens' FileSystemConfig (Maybe Text) Source #

The path within the image to mount the user's EFS home directory. The directory should be empty. If not specified, defaults to /home/sagemaker-user.

FileSystemDataSource

data FileSystemDataSource Source #

Specifies a file system data source for a channel.

See: newFileSystemDataSource smart constructor.

Constructors

FileSystemDataSource' 

Fields

Instances

Instances details
FromJSON FileSystemDataSource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FileSystemDataSource

Methods

parseJSON :: Value -> Parser FileSystemDataSource #

parseJSONList :: Value -> Parser [FileSystemDataSource] #

ToJSON FileSystemDataSource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FileSystemDataSource

Methods

toJSON :: FileSystemDataSource -> Value #

toEncoding :: FileSystemDataSource -> Encoding #

toJSONList :: [FileSystemDataSource] -> Value #

toEncodingList :: [FileSystemDataSource] -> Encoding #

Generic FileSystemDataSource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FileSystemDataSource

Associated Types

type Rep FileSystemDataSource :: Type -> Type #

Methods

from :: FileSystemDataSource -> Rep FileSystemDataSource x #

to :: Rep FileSystemDataSource x -> FileSystemDataSource #

Read FileSystemDataSource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FileSystemDataSource

Methods

readsPrec :: Int -> ReadS FileSystemDataSource #

readList :: ReadS [FileSystemDataSource] #

readPrec :: ReadPrec FileSystemDataSource #

readListPrec :: ReadPrec [FileSystemDataSource] #

Show FileSystemDataSource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FileSystemDataSource

Methods

showsPrec :: Int -> FileSystemDataSource -> ShowS #

show :: FileSystemDataSource -> String #

showList :: [FileSystemDataSource] -> ShowS #

NFData FileSystemDataSource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FileSystemDataSource

Methods

rnf :: FileSystemDataSource -> () #

Eq FileSystemDataSource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FileSystemDataSource

Methods

(==) :: FileSystemDataSource -> FileSystemDataSource -> Bool #

(/=) :: FileSystemDataSource -> FileSystemDataSource -> Bool #

Hashable FileSystemDataSource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FileSystemDataSource

Methods

hashWithSalt :: Int -> FileSystemDataSource -> Int #

hash :: FileSystemDataSource -> Int #

type Rep FileSystemDataSource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FileSystemDataSource

type Rep FileSystemDataSource = D1 ('MetaData "FileSystemDataSource" "Amazonka.SageMaker.Types.FileSystemDataSource" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "FileSystemDataSource'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "fileSystemId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: S1 ('MetaSel ('Just "fileSystemAccessMode") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 FileSystemAccessMode)) :*: (S1 ('MetaSel ('Just "fileSystemType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 FileSystemType) :*: S1 ('MetaSel ('Just "directoryPath") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text))))

newFileSystemDataSource Source #

Arguments

:: Text

$sel:fileSystemId:FileSystemDataSource'

-> FileSystemAccessMode

$sel:fileSystemAccessMode:FileSystemDataSource'

-> FileSystemType

$sel:fileSystemType:FileSystemDataSource'

-> Text

$sel:directoryPath:FileSystemDataSource'

-> FileSystemDataSource 

Create a value of FileSystemDataSource with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:fileSystemId:FileSystemDataSource', fileSystemDataSource_fileSystemId - The file system id.

$sel:fileSystemAccessMode:FileSystemDataSource', fileSystemDataSource_fileSystemAccessMode - The access mode of the mount of the directory associated with the channel. A directory can be mounted either in ro (read-only) or rw (read-write) mode.

$sel:fileSystemType:FileSystemDataSource', fileSystemDataSource_fileSystemType - The file system type.

$sel:directoryPath:FileSystemDataSource', fileSystemDataSource_directoryPath - The full path to the directory to associate with the channel.

fileSystemDataSource_fileSystemId :: Lens' FileSystemDataSource Text Source #

The file system id.

fileSystemDataSource_fileSystemAccessMode :: Lens' FileSystemDataSource FileSystemAccessMode Source #

The access mode of the mount of the directory associated with the channel. A directory can be mounted either in ro (read-only) or rw (read-write) mode.

fileSystemDataSource_fileSystemType :: Lens' FileSystemDataSource FileSystemType Source #

The file system type.

fileSystemDataSource_directoryPath :: Lens' FileSystemDataSource Text Source #

The full path to the directory to associate with the channel.

Filter

data Filter Source #

A conditional statement for a search expression that includes a resource property, a Boolean operator, and a value. Resources that match the statement are returned in the results from the Search API.

If you specify a Value, but not an Operator, Amazon SageMaker uses the equals operator.

In search, there are several property types:

Metrics
To define a metric filter, enter a value using the form "Metrics.<name>", where <name> is a metric name. For example, the following filter searches for training jobs with an "accuracy" metric greater than "0.9":
{
"Name": "Metrics.accuracy",
"Operator": "GreaterThan",
"Value": "0.9"
}
HyperParameters
To define a hyperparameter filter, enter a value with the form "HyperParameters.<name>". Decimal hyperparameter values are treated as a decimal in a comparison if the specified Value is also a decimal value. If the specified Value is an integer, the decimal hyperparameter values are treated as integers. For example, the following filter is satisfied by training jobs with a "learning_rate" hyperparameter that is less than "0.5":
 {
 "Name": "HyperParameters.learning_rate",
 "Operator": "LessThan",
 "Value": "0.5"
 }
Tags
To define a tag filter, enter a value with the form Tags.<key>.

See: newFilter smart constructor.

Constructors

Filter' 

Fields

  • operator :: Maybe Operator

    A Boolean binary operator that is used to evaluate the filter. The operator field contains one of the following values:

    Equals
    The value of Name equals Value.
    NotEquals
    The value of Name doesn't equal Value.
    Exists
    The Name property exists.
    NotExists
    The Name property does not exist.
    GreaterThan
    The value of Name is greater than Value. Not supported for text properties.
    GreaterThanOrEqualTo
    The value of Name is greater than or equal to Value. Not supported for text properties.
    LessThan
    The value of Name is less than Value. Not supported for text properties.
    LessThanOrEqualTo
    The value of Name is less than or equal to Value. Not supported for text properties.
    In
    The value of Name is one of the comma delimited strings in Value. Only supported for text properties.
    Contains
    The value of Name contains the string Value. Only supported for text properties.

    A SearchExpression can include the Contains operator multiple times when the value of Name is one of the following:

    • Experiment.DisplayName
    • Experiment.ExperimentName
    • Experiment.Tags
    • Trial.DisplayName
    • Trial.TrialName
    • Trial.Tags
    • TrialComponent.DisplayName
    • TrialComponent.TrialComponentName
    • TrialComponent.Tags
    • TrialComponent.InputArtifacts
    • TrialComponent.OutputArtifacts

    A SearchExpression can include only one Contains operator for all other values of Name. In these cases, if you include multiple Contains operators in the SearchExpression, the result is the following error message: "'CONTAINS' operator usage limit of 1 exceeded."

  • value :: Maybe Text

    A value used with Name and Operator to determine which resources satisfy the filter's condition. For numerical properties, Value must be an integer or floating-point decimal. For timestamp properties, Value must be an ISO 8601 date-time string of the following format: YYYY-mm-dd'T'HH:MM:SS.

  • name :: Text

    A resource property name. For example, TrainingJobName. For valid property names, see SearchRecord. You must specify a valid property for the resource.

Instances

Instances details
ToJSON Filter Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Filter

Methods

toJSON :: Filter -> Value #

toEncoding :: Filter -> Encoding #

toJSONList :: [Filter] -> Value #

toEncodingList :: [Filter] -> Encoding #

Generic Filter Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Filter

Associated Types

type Rep Filter :: Type -> Type #

Methods

from :: Filter -> Rep Filter x #

to :: Rep Filter x -> Filter #

Read Filter Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Filter

Methods

readsPrec :: Int -> ReadS Filter #

readList :: ReadS [Filter] #

readPrec :: ReadPrec Filter #

readListPrec :: ReadPrec [Filter] #

Show Filter Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Filter

Methods

showsPrec :: Int -> Filter -> ShowS #

show :: Filter -> String #

showList :: [Filter] -> ShowS #

NFData Filter Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Filter

Methods

rnf :: Filter -> () #

Eq Filter Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Filter

Methods

(==) :: Filter -> Filter -> Bool #

(/=) :: Filter -> Filter -> Bool #

Hashable Filter Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Filter

Methods

hashWithSalt :: Int -> Filter -> Int #

hash :: Filter -> Int #

type Rep Filter Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Filter

type Rep Filter = D1 ('MetaData "Filter" "Amazonka.SageMaker.Types.Filter" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "Filter'" 'PrefixI 'True) (S1 ('MetaSel ('Just "operator") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Operator)) :*: (S1 ('MetaSel ('Just "value") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "name") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text))))

newFilter Source #

Arguments

:: Text

$sel:name:Filter'

-> Filter 

Create a value of Filter with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:operator:Filter', filter_operator - A Boolean binary operator that is used to evaluate the filter. The operator field contains one of the following values:

Equals
The value of Name equals Value.
NotEquals
The value of Name doesn't equal Value.
Exists
The Name property exists.
NotExists
The Name property does not exist.
GreaterThan
The value of Name is greater than Value. Not supported for text properties.
GreaterThanOrEqualTo
The value of Name is greater than or equal to Value. Not supported for text properties.
LessThan
The value of Name is less than Value. Not supported for text properties.
LessThanOrEqualTo
The value of Name is less than or equal to Value. Not supported for text properties.
In
The value of Name is one of the comma delimited strings in Value. Only supported for text properties.
Contains
The value of Name contains the string Value. Only supported for text properties.

A SearchExpression can include the Contains operator multiple times when the value of Name is one of the following:

  • Experiment.DisplayName
  • Experiment.ExperimentName
  • Experiment.Tags
  • Trial.DisplayName
  • Trial.TrialName
  • Trial.Tags
  • TrialComponent.DisplayName
  • TrialComponent.TrialComponentName
  • TrialComponent.Tags
  • TrialComponent.InputArtifacts
  • TrialComponent.OutputArtifacts

A SearchExpression can include only one Contains operator for all other values of Name. In these cases, if you include multiple Contains operators in the SearchExpression, the result is the following error message: "'CONTAINS' operator usage limit of 1 exceeded."

$sel:value:Filter', filter_value - A value used with Name and Operator to determine which resources satisfy the filter's condition. For numerical properties, Value must be an integer or floating-point decimal. For timestamp properties, Value must be an ISO 8601 date-time string of the following format: YYYY-mm-dd'T'HH:MM:SS.

$sel:name:Filter', filter_name - A resource property name. For example, TrainingJobName. For valid property names, see SearchRecord. You must specify a valid property for the resource.

filter_operator :: Lens' Filter (Maybe Operator) Source #

A Boolean binary operator that is used to evaluate the filter. The operator field contains one of the following values:

Equals
The value of Name equals Value.
NotEquals
The value of Name doesn't equal Value.
Exists
The Name property exists.
NotExists
The Name property does not exist.
GreaterThan
The value of Name is greater than Value. Not supported for text properties.
GreaterThanOrEqualTo
The value of Name is greater than or equal to Value. Not supported for text properties.
LessThan
The value of Name is less than Value. Not supported for text properties.
LessThanOrEqualTo
The value of Name is less than or equal to Value. Not supported for text properties.
In
The value of Name is one of the comma delimited strings in Value. Only supported for text properties.
Contains
The value of Name contains the string Value. Only supported for text properties.

A SearchExpression can include the Contains operator multiple times when the value of Name is one of the following:

  • Experiment.DisplayName
  • Experiment.ExperimentName
  • Experiment.Tags
  • Trial.DisplayName
  • Trial.TrialName
  • Trial.Tags
  • TrialComponent.DisplayName
  • TrialComponent.TrialComponentName
  • TrialComponent.Tags
  • TrialComponent.InputArtifacts
  • TrialComponent.OutputArtifacts

A SearchExpression can include only one Contains operator for all other values of Name. In these cases, if you include multiple Contains operators in the SearchExpression, the result is the following error message: "'CONTAINS' operator usage limit of 1 exceeded."

filter_value :: Lens' Filter (Maybe Text) Source #

A value used with Name and Operator to determine which resources satisfy the filter's condition. For numerical properties, Value must be an integer or floating-point decimal. For timestamp properties, Value must be an ISO 8601 date-time string of the following format: YYYY-mm-dd'T'HH:MM:SS.

filter_name :: Lens' Filter Text Source #

A resource property name. For example, TrainingJobName. For valid property names, see SearchRecord. You must specify a valid property for the resource.

FinalAutoMLJobObjectiveMetric

data FinalAutoMLJobObjectiveMetric Source #

The best candidate result from an AutoML training job.

See: newFinalAutoMLJobObjectiveMetric smart constructor.

Constructors

FinalAutoMLJobObjectiveMetric' 

Fields

Instances

Instances details
FromJSON FinalAutoMLJobObjectiveMetric Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FinalAutoMLJobObjectiveMetric

Methods

parseJSON :: Value -> Parser FinalAutoMLJobObjectiveMetric #

parseJSONList :: Value -> Parser [FinalAutoMLJobObjectiveMetric] #

Generic FinalAutoMLJobObjectiveMetric Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FinalAutoMLJobObjectiveMetric

Associated Types

type Rep FinalAutoMLJobObjectiveMetric :: Type -> Type #

Methods

from :: FinalAutoMLJobObjectiveMetric -> Rep FinalAutoMLJobObjectiveMetric x #

to :: Rep FinalAutoMLJobObjectiveMetric x -> FinalAutoMLJobObjectiveMetric #

Read FinalAutoMLJobObjectiveMetric Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FinalAutoMLJobObjectiveMetric

Methods

readsPrec :: Int -> ReadS FinalAutoMLJobObjectiveMetric #

readList :: ReadS [FinalAutoMLJobObjectiveMetric] #

readPrec :: ReadPrec FinalAutoMLJobObjectiveMetric #

readListPrec :: ReadPrec [FinalAutoMLJobObjectiveMetric] #

Show FinalAutoMLJobObjectiveMetric Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FinalAutoMLJobObjectiveMetric

Methods

showsPrec :: Int -> FinalAutoMLJobObjectiveMetric -> ShowS #

show :: FinalAutoMLJobObjectiveMetric -> String #

showList :: [FinalAutoMLJobObjectiveMetric] -> ShowS #

NFData FinalAutoMLJobObjectiveMetric Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FinalAutoMLJobObjectiveMetric

Methods

rnf :: FinalAutoMLJobObjectiveMetric -> () #

Eq FinalAutoMLJobObjectiveMetric Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FinalAutoMLJobObjectiveMetric

Methods

(==) :: FinalAutoMLJobObjectiveMetric -> FinalAutoMLJobObjectiveMetric -> Bool #

(/=) :: FinalAutoMLJobObjectiveMetric -> FinalAutoMLJobObjectiveMetric -> Bool #

Hashable FinalAutoMLJobObjectiveMetric Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FinalAutoMLJobObjectiveMetric

Methods

hashWithSalt :: Int -> FinalAutoMLJobObjectiveMetric -> Int #

hash :: FinalAutoMLJobObjectiveMetric -> Int #

type Rep FinalAutoMLJobObjectiveMetric Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FinalAutoMLJobObjectiveMetric

type Rep FinalAutoMLJobObjectiveMetric = D1 ('MetaData "FinalAutoMLJobObjectiveMetric" "Amazonka.SageMaker.Types.FinalAutoMLJobObjectiveMetric" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "FinalAutoMLJobObjectiveMetric'" 'PrefixI 'True) (S1 ('MetaSel ('Just "type'") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe AutoMLJobObjectiveType)) :*: (S1 ('MetaSel ('Just "metricName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 AutoMLMetricEnum) :*: S1 ('MetaSel ('Just "value") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Double))))

newFinalAutoMLJobObjectiveMetric Source #

Arguments

:: AutoMLMetricEnum

$sel:metricName:FinalAutoMLJobObjectiveMetric'

-> Double

$sel:value:FinalAutoMLJobObjectiveMetric'

-> FinalAutoMLJobObjectiveMetric 

Create a value of FinalAutoMLJobObjectiveMetric with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:type':FinalAutoMLJobObjectiveMetric', finalAutoMLJobObjectiveMetric_type - The type of metric with the best result.

$sel:metricName:FinalAutoMLJobObjectiveMetric', finalAutoMLJobObjectiveMetric_metricName - The name of the metric with the best result. For a description of the possible objective metrics, see AutoMLJobObjective$MetricName.

$sel:value:FinalAutoMLJobObjectiveMetric', finalAutoMLJobObjectiveMetric_value - The value of the metric with the best result.

finalAutoMLJobObjectiveMetric_type :: Lens' FinalAutoMLJobObjectiveMetric (Maybe AutoMLJobObjectiveType) Source #

The type of metric with the best result.

finalAutoMLJobObjectiveMetric_metricName :: Lens' FinalAutoMLJobObjectiveMetric AutoMLMetricEnum Source #

The name of the metric with the best result. For a description of the possible objective metrics, see AutoMLJobObjective$MetricName.

finalAutoMLJobObjectiveMetric_value :: Lens' FinalAutoMLJobObjectiveMetric Double Source #

The value of the metric with the best result.

FinalHyperParameterTuningJobObjectiveMetric

data FinalHyperParameterTuningJobObjectiveMetric Source #

Shows the final value for the objective metric for a training job that was launched by a hyperparameter tuning job. You define the objective metric in the HyperParameterTuningJobObjective parameter of HyperParameterTuningJobConfig.

See: newFinalHyperParameterTuningJobObjectiveMetric smart constructor.

Constructors

FinalHyperParameterTuningJobObjectiveMetric' 

Fields

Instances

Instances details
FromJSON FinalHyperParameterTuningJobObjectiveMetric Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FinalHyperParameterTuningJobObjectiveMetric

Methods

parseJSON :: Value -> Parser FinalHyperParameterTuningJobObjectiveMetric #

parseJSONList :: Value -> Parser [FinalHyperParameterTuningJobObjectiveMetric] #

Generic FinalHyperParameterTuningJobObjectiveMetric Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FinalHyperParameterTuningJobObjectiveMetric

Associated Types

type Rep FinalHyperParameterTuningJobObjectiveMetric :: Type -> Type #

Methods

from :: FinalHyperParameterTuningJobObjectiveMetric -> Rep FinalHyperParameterTuningJobObjectiveMetric x #

to :: Rep FinalHyperParameterTuningJobObjectiveMetric x -> FinalHyperParameterTuningJobObjectiveMetric #

Read FinalHyperParameterTuningJobObjectiveMetric Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FinalHyperParameterTuningJobObjectiveMetric

Methods

readsPrec :: Int -> ReadS FinalHyperParameterTuningJobObjectiveMetric #

readList :: ReadS [FinalHyperParameterTuningJobObjectiveMetric] #

readPrec :: ReadPrec FinalHyperParameterTuningJobObjectiveMetric #

readListPrec :: ReadPrec [FinalHyperParameterTuningJobObjectiveMetric] #

Show FinalHyperParameterTuningJobObjectiveMetric Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FinalHyperParameterTuningJobObjectiveMetric

Methods

showsPrec :: Int -> FinalHyperParameterTuningJobObjectiveMetric -> ShowS #

show :: FinalHyperParameterTuningJobObjectiveMetric -> String #

showList :: [FinalHyperParameterTuningJobObjectiveMetric] -> ShowS #

NFData FinalHyperParameterTuningJobObjectiveMetric Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FinalHyperParameterTuningJobObjectiveMetric

Methods

rnf :: FinalHyperParameterTuningJobObjectiveMetric -> () #

Eq FinalHyperParameterTuningJobObjectiveMetric Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FinalHyperParameterTuningJobObjectiveMetric

Methods

(==) :: FinalHyperParameterTuningJobObjectiveMetric -> FinalHyperParameterTuningJobObjectiveMetric -> Bool #

(/=) :: FinalHyperParameterTuningJobObjectiveMetric -> FinalHyperParameterTuningJobObjectiveMetric -> Bool #

Hashable FinalHyperParameterTuningJobObjectiveMetric Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FinalHyperParameterTuningJobObjectiveMetric

Methods

hashWithSalt :: Int -> FinalHyperParameterTuningJobObjectiveMetric -> Int #

hash :: FinalHyperParameterTuningJobObjectiveMetric -> Int #

type Rep FinalHyperParameterTuningJobObjectiveMetric Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FinalHyperParameterTuningJobObjectiveMetric

type Rep FinalHyperParameterTuningJobObjectiveMetric = D1 ('MetaData "FinalHyperParameterTuningJobObjectiveMetric" "Amazonka.SageMaker.Types.FinalHyperParameterTuningJobObjectiveMetric" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "FinalHyperParameterTuningJobObjectiveMetric'" 'PrefixI 'True) (S1 ('MetaSel ('Just "type'") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe HyperParameterTuningJobObjectiveType)) :*: (S1 ('MetaSel ('Just "metricName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: S1 ('MetaSel ('Just "value") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Double))))

newFinalHyperParameterTuningJobObjectiveMetric Source #

Arguments

:: Text

$sel:metricName:FinalHyperParameterTuningJobObjectiveMetric'

-> Double

$sel:value:FinalHyperParameterTuningJobObjectiveMetric'

-> FinalHyperParameterTuningJobObjectiveMetric 

Create a value of FinalHyperParameterTuningJobObjectiveMetric with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:type':FinalHyperParameterTuningJobObjectiveMetric', finalHyperParameterTuningJobObjectiveMetric_type - Whether to minimize or maximize the objective metric. Valid values are Minimize and Maximize.

$sel:metricName:FinalHyperParameterTuningJobObjectiveMetric', finalHyperParameterTuningJobObjectiveMetric_metricName - The name of the objective metric.

$sel:value:FinalHyperParameterTuningJobObjectiveMetric', finalHyperParameterTuningJobObjectiveMetric_value - The value of the objective metric.

finalHyperParameterTuningJobObjectiveMetric_type :: Lens' FinalHyperParameterTuningJobObjectiveMetric (Maybe HyperParameterTuningJobObjectiveType) Source #

Whether to minimize or maximize the objective metric. Valid values are Minimize and Maximize.

finalHyperParameterTuningJobObjectiveMetric_metricName :: Lens' FinalHyperParameterTuningJobObjectiveMetric Text Source #

The name of the objective metric.

finalHyperParameterTuningJobObjectiveMetric_value :: Lens' FinalHyperParameterTuningJobObjectiveMetric Double Source #

The value of the objective metric.

FlowDefinitionOutputConfig

data FlowDefinitionOutputConfig Source #

Contains information about where human output will be stored.

See: newFlowDefinitionOutputConfig smart constructor.

Constructors

FlowDefinitionOutputConfig' 

Fields

  • kmsKeyId :: Maybe Text

    The Amazon Key Management Service (KMS) key ID for server-side encryption.

  • s3OutputPath :: Text

    The Amazon S3 path where the object containing human output will be made available.

    To learn more about the format of Amazon A2I output data, see Amazon A2I Output Data.

Instances

Instances details
FromJSON FlowDefinitionOutputConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FlowDefinitionOutputConfig

Methods

parseJSON :: Value -> Parser FlowDefinitionOutputConfig #

parseJSONList :: Value -> Parser [FlowDefinitionOutputConfig] #

ToJSON FlowDefinitionOutputConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FlowDefinitionOutputConfig

Methods

toJSON :: FlowDefinitionOutputConfig -> Value #

toEncoding :: FlowDefinitionOutputConfig -> Encoding #

toJSONList :: [FlowDefinitionOutputConfig] -> Value #

toEncodingList :: [FlowDefinitionOutputConfig] -> Encoding #

Generic FlowDefinitionOutputConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FlowDefinitionOutputConfig

Associated Types

type Rep FlowDefinitionOutputConfig :: Type -> Type #

Methods

from :: FlowDefinitionOutputConfig -> Rep FlowDefinitionOutputConfig x #

to :: Rep FlowDefinitionOutputConfig x -> FlowDefinitionOutputConfig #

Read FlowDefinitionOutputConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FlowDefinitionOutputConfig

Methods

readsPrec :: Int -> ReadS FlowDefinitionOutputConfig #

readList :: ReadS [FlowDefinitionOutputConfig] #

readPrec :: ReadPrec FlowDefinitionOutputConfig #

readListPrec :: ReadPrec [FlowDefinitionOutputConfig] #

Show FlowDefinitionOutputConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FlowDefinitionOutputConfig

Methods

showsPrec :: Int -> FlowDefinitionOutputConfig -> ShowS #

show :: FlowDefinitionOutputConfig -> String #

showList :: [FlowDefinitionOutputConfig] -> ShowS #

NFData FlowDefinitionOutputConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FlowDefinitionOutputConfig

Methods

rnf :: FlowDefinitionOutputConfig -> () #

Eq FlowDefinitionOutputConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FlowDefinitionOutputConfig

Methods

(==) :: FlowDefinitionOutputConfig -> FlowDefinitionOutputConfig -> Bool #

(/=) :: FlowDefinitionOutputConfig -> FlowDefinitionOutputConfig -> Bool #

Hashable FlowDefinitionOutputConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FlowDefinitionOutputConfig

Methods

hashWithSalt :: Int -> FlowDefinitionOutputConfig -> Int #

hash :: FlowDefinitionOutputConfig -> Int #

type Rep FlowDefinitionOutputConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FlowDefinitionOutputConfig

type Rep FlowDefinitionOutputConfig = D1 ('MetaData "FlowDefinitionOutputConfig" "Amazonka.SageMaker.Types.FlowDefinitionOutputConfig" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "FlowDefinitionOutputConfig'" 'PrefixI 'True) (S1 ('MetaSel ('Just "kmsKeyId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "s3OutputPath") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))

newFlowDefinitionOutputConfig Source #

Arguments

:: Text

$sel:s3OutputPath:FlowDefinitionOutputConfig'

-> FlowDefinitionOutputConfig 

Create a value of FlowDefinitionOutputConfig with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:kmsKeyId:FlowDefinitionOutputConfig', flowDefinitionOutputConfig_kmsKeyId - The Amazon Key Management Service (KMS) key ID for server-side encryption.

$sel:s3OutputPath:FlowDefinitionOutputConfig', flowDefinitionOutputConfig_s3OutputPath - The Amazon S3 path where the object containing human output will be made available.

To learn more about the format of Amazon A2I output data, see Amazon A2I Output Data.

flowDefinitionOutputConfig_kmsKeyId :: Lens' FlowDefinitionOutputConfig (Maybe Text) Source #

The Amazon Key Management Service (KMS) key ID for server-side encryption.

flowDefinitionOutputConfig_s3OutputPath :: Lens' FlowDefinitionOutputConfig Text Source #

The Amazon S3 path where the object containing human output will be made available.

To learn more about the format of Amazon A2I output data, see Amazon A2I Output Data.

FlowDefinitionSummary

data FlowDefinitionSummary Source #

Contains summary information about the flow definition.

See: newFlowDefinitionSummary smart constructor.

Constructors

FlowDefinitionSummary' 

Fields

Instances

Instances details
FromJSON FlowDefinitionSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FlowDefinitionSummary

Methods

parseJSON :: Value -> Parser FlowDefinitionSummary #

parseJSONList :: Value -> Parser [FlowDefinitionSummary] #

Generic FlowDefinitionSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FlowDefinitionSummary

Associated Types

type Rep FlowDefinitionSummary :: Type -> Type #

Methods

from :: FlowDefinitionSummary -> Rep FlowDefinitionSummary x #

to :: Rep FlowDefinitionSummary x -> FlowDefinitionSummary #

Read FlowDefinitionSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FlowDefinitionSummary

Methods

readsPrec :: Int -> ReadS FlowDefinitionSummary #

readList :: ReadS [FlowDefinitionSummary] #

readPrec :: ReadPrec FlowDefinitionSummary #

readListPrec :: ReadPrec [FlowDefinitionSummary] #

Show FlowDefinitionSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FlowDefinitionSummary

Methods

showsPrec :: Int -> FlowDefinitionSummary -> ShowS #

show :: FlowDefinitionSummary -> String #

showList :: [FlowDefinitionSummary] -> ShowS #

NFData FlowDefinitionSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FlowDefinitionSummary

Methods

rnf :: FlowDefinitionSummary -> () #

Eq FlowDefinitionSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FlowDefinitionSummary

Methods

(==) :: FlowDefinitionSummary -> FlowDefinitionSummary -> Bool #

(/=) :: FlowDefinitionSummary -> FlowDefinitionSummary -> Bool #

Hashable FlowDefinitionSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FlowDefinitionSummary

Methods

hashWithSalt :: Int -> FlowDefinitionSummary -> Int #

hash :: FlowDefinitionSummary -> Int #

type Rep FlowDefinitionSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.FlowDefinitionSummary

type Rep FlowDefinitionSummary = D1 ('MetaData "FlowDefinitionSummary" "Amazonka.SageMaker.Types.FlowDefinitionSummary" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "FlowDefinitionSummary'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "failureReason") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "flowDefinitionName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)) :*: (S1 ('MetaSel ('Just "flowDefinitionArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: (S1 ('MetaSel ('Just "flowDefinitionStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 FlowDefinitionStatus) :*: S1 ('MetaSel ('Just "creationTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 POSIX)))))

newFlowDefinitionSummary Source #

Arguments

:: Text

$sel:flowDefinitionName:FlowDefinitionSummary'

-> Text

$sel:flowDefinitionArn:FlowDefinitionSummary'

-> FlowDefinitionStatus

$sel:flowDefinitionStatus:FlowDefinitionSummary'

-> UTCTime

$sel:creationTime:FlowDefinitionSummary'

-> FlowDefinitionSummary 

Create a value of FlowDefinitionSummary with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:failureReason:FlowDefinitionSummary', flowDefinitionSummary_failureReason - The reason why the flow definition creation failed. A failure reason is returned only when the flow definition status is Failed.

$sel:flowDefinitionName:FlowDefinitionSummary', flowDefinitionSummary_flowDefinitionName - The name of the flow definition.

$sel:flowDefinitionArn:FlowDefinitionSummary', flowDefinitionSummary_flowDefinitionArn - The Amazon Resource Name (ARN) of the flow definition.

$sel:flowDefinitionStatus:FlowDefinitionSummary', flowDefinitionSummary_flowDefinitionStatus - The status of the flow definition. Valid values:

$sel:creationTime:FlowDefinitionSummary', flowDefinitionSummary_creationTime - The timestamp when SageMaker created the flow definition.

flowDefinitionSummary_failureReason :: Lens' FlowDefinitionSummary (Maybe Text) Source #

The reason why the flow definition creation failed. A failure reason is returned only when the flow definition status is Failed.

flowDefinitionSummary_flowDefinitionName :: Lens' FlowDefinitionSummary Text Source #

The name of the flow definition.

flowDefinitionSummary_flowDefinitionArn :: Lens' FlowDefinitionSummary Text Source #

The Amazon Resource Name (ARN) of the flow definition.

flowDefinitionSummary_flowDefinitionStatus :: Lens' FlowDefinitionSummary FlowDefinitionStatus Source #

The status of the flow definition. Valid values:

flowDefinitionSummary_creationTime :: Lens' FlowDefinitionSummary UTCTime Source #

The timestamp when SageMaker created the flow definition.

GitConfig

data GitConfig Source #

Specifies configuration details for a Git repository in your Amazon Web Services account.

See: newGitConfig smart constructor.

Constructors

GitConfig' 

Fields

  • branch :: Maybe Text

    The default branch for the Git repository.

  • secretArn :: Maybe Text

    The Amazon Resource Name (ARN) of the Amazon Web Services Secrets Manager secret that contains the credentials used to access the git repository. The secret must have a staging label of AWSCURRENT and must be in the following format:

    {"username": UserName, "password": Password}

  • repositoryUrl :: Text

    The URL where the Git repository is located.

Instances

Instances details
FromJSON GitConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.GitConfig

Methods

parseJSON :: Value -> Parser GitConfig #

parseJSONList :: Value -> Parser [GitConfig] #

ToJSON GitConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.GitConfig

Methods

toJSON :: GitConfig -> Value #

toEncoding :: GitConfig -> Encoding #

toJSONList :: [GitConfig] -> Value #

toEncodingList :: [GitConfig] -> Encoding #

Generic GitConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.GitConfig

Associated Types

type Rep GitConfig :: Type -> Type #

Methods

from :: GitConfig -> Rep GitConfig x #

to :: Rep GitConfig x -> GitConfig #

Read GitConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.GitConfig

Methods

readsPrec :: Int -> ReadS GitConfig #

readList :: ReadS [GitConfig] #

readPrec :: ReadPrec GitConfig #

readListPrec :: ReadPrec [GitConfig] #

Show GitConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.GitConfig

Methods

showsPrec :: Int -> GitConfig -> ShowS #

show :: GitConfig -> String #

showList :: [GitConfig] -> ShowS #

NFData GitConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.GitConfig

Methods

rnf :: GitConfig -> () #

Eq GitConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.GitConfig

Methods

(==) :: GitConfig -> GitConfig -> Bool #

(/=) :: GitConfig -> GitConfig -> Bool #

Hashable GitConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.GitConfig

Methods

hashWithSalt :: Int -> GitConfig -> Int #

hash :: GitConfig -> Int #

type Rep GitConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.GitConfig

type Rep GitConfig = D1 ('MetaData "GitConfig" "Amazonka.SageMaker.Types.GitConfig" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "GitConfig'" 'PrefixI 'True) (S1 ('MetaSel ('Just "branch") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: (S1 ('MetaSel ('Just "secretArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "repositoryUrl") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text))))

newGitConfig Source #

Arguments

:: Text

$sel:repositoryUrl:GitConfig'

-> GitConfig 

Create a value of GitConfig with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:branch:GitConfig', gitConfig_branch - The default branch for the Git repository.

$sel:secretArn:GitConfig', gitConfig_secretArn - The Amazon Resource Name (ARN) of the Amazon Web Services Secrets Manager secret that contains the credentials used to access the git repository. The secret must have a staging label of AWSCURRENT and must be in the following format:

{"username": UserName, "password": Password}

$sel:repositoryUrl:GitConfig', gitConfig_repositoryUrl - The URL where the Git repository is located.

gitConfig_branch :: Lens' GitConfig (Maybe Text) Source #

The default branch for the Git repository.

gitConfig_secretArn :: Lens' GitConfig (Maybe Text) Source #

The Amazon Resource Name (ARN) of the Amazon Web Services Secrets Manager secret that contains the credentials used to access the git repository. The secret must have a staging label of AWSCURRENT and must be in the following format:

{"username": UserName, "password": Password}

gitConfig_repositoryUrl :: Lens' GitConfig Text Source #

The URL where the Git repository is located.

GitConfigForUpdate

data GitConfigForUpdate Source #

Specifies configuration details for a Git repository when the repository is updated.

See: newGitConfigForUpdate smart constructor.

Constructors

GitConfigForUpdate' 

Fields

  • secretArn :: Maybe Text

    The Amazon Resource Name (ARN) of the Amazon Web Services Secrets Manager secret that contains the credentials used to access the git repository. The secret must have a staging label of AWSCURRENT and must be in the following format:

    {"username": UserName, "password": Password}

Instances

Instances details
ToJSON GitConfigForUpdate Source # 
Instance details

Defined in Amazonka.SageMaker.Types.GitConfigForUpdate

Methods

toJSON :: GitConfigForUpdate -> Value #

toEncoding :: GitConfigForUpdate -> Encoding #

toJSONList :: [GitConfigForUpdate] -> Value #

toEncodingList :: [GitConfigForUpdate] -> Encoding #

Generic GitConfigForUpdate Source # 
Instance details

Defined in Amazonka.SageMaker.Types.GitConfigForUpdate

Associated Types

type Rep GitConfigForUpdate :: Type -> Type #

Methods

from :: GitConfigForUpdate -> Rep GitConfigForUpdate x #

to :: Rep GitConfigForUpdate x -> GitConfigForUpdate #

Read GitConfigForUpdate Source # 
Instance details

Defined in Amazonka.SageMaker.Types.GitConfigForUpdate

Methods

readsPrec :: Int -> ReadS GitConfigForUpdate #

readList :: ReadS [GitConfigForUpdate] #

readPrec :: ReadPrec GitConfigForUpdate #

readListPrec :: ReadPrec [GitConfigForUpdate] #

Show GitConfigForUpdate Source # 
Instance details

Defined in Amazonka.SageMaker.Types.GitConfigForUpdate

Methods

showsPrec :: Int -> GitConfigForUpdate -> ShowS #

show :: GitConfigForUpdate -> String #

showList :: [GitConfigForUpdate] -> ShowS #

NFData GitConfigForUpdate Source # 
Instance details

Defined in Amazonka.SageMaker.Types.GitConfigForUpdate

Methods

rnf :: GitConfigForUpdate -> () #

Eq GitConfigForUpdate Source # 
Instance details

Defined in Amazonka.SageMaker.Types.GitConfigForUpdate

Methods

(==) :: GitConfigForUpdate -> GitConfigForUpdate -> Bool #

(/=) :: GitConfigForUpdate -> GitConfigForUpdate -> Bool #

Hashable GitConfigForUpdate Source # 
Instance details

Defined in Amazonka.SageMaker.Types.GitConfigForUpdate

Methods

hashWithSalt :: Int -> GitConfigForUpdate -> Int #

hash :: GitConfigForUpdate -> Int #

type Rep GitConfigForUpdate Source # 
Instance details

Defined in Amazonka.SageMaker.Types.GitConfigForUpdate

type Rep GitConfigForUpdate = D1 ('MetaData "GitConfigForUpdate" "Amazonka.SageMaker.Types.GitConfigForUpdate" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "GitConfigForUpdate'" 'PrefixI 'True) (S1 ('MetaSel ('Just "secretArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))

newGitConfigForUpdate :: GitConfigForUpdate Source #

Create a value of GitConfigForUpdate with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:secretArn:GitConfigForUpdate', gitConfigForUpdate_secretArn - The Amazon Resource Name (ARN) of the Amazon Web Services Secrets Manager secret that contains the credentials used to access the git repository. The secret must have a staging label of AWSCURRENT and must be in the following format:

{"username": UserName, "password": Password}

gitConfigForUpdate_secretArn :: Lens' GitConfigForUpdate (Maybe Text) Source #

The Amazon Resource Name (ARN) of the Amazon Web Services Secrets Manager secret that contains the credentials used to access the git repository. The secret must have a staging label of AWSCURRENT and must be in the following format:

{"username": UserName, "password": Password}

HubContentDependency

data HubContentDependency Source #

Any dependencies related to hub content, such as scripts, model artifacts, datasets, or notebooks.

See: newHubContentDependency smart constructor.

Constructors

HubContentDependency' 

Fields

Instances

Instances details
FromJSON HubContentDependency Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HubContentDependency

Methods

parseJSON :: Value -> Parser HubContentDependency #

parseJSONList :: Value -> Parser [HubContentDependency] #

Generic HubContentDependency Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HubContentDependency

Associated Types

type Rep HubContentDependency :: Type -> Type #

Methods

from :: HubContentDependency -> Rep HubContentDependency x #

to :: Rep HubContentDependency x -> HubContentDependency #

Read HubContentDependency Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HubContentDependency

Methods

readsPrec :: Int -> ReadS HubContentDependency #

readList :: ReadS [HubContentDependency] #

readPrec :: ReadPrec HubContentDependency #

readListPrec :: ReadPrec [HubContentDependency] #

Show HubContentDependency Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HubContentDependency

Methods

showsPrec :: Int -> HubContentDependency -> ShowS #

show :: HubContentDependency -> String #

showList :: [HubContentDependency] -> ShowS #

NFData HubContentDependency Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HubContentDependency

Methods

rnf :: HubContentDependency -> () #

Eq HubContentDependency Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HubContentDependency

Methods

(==) :: HubContentDependency -> HubContentDependency -> Bool #

(/=) :: HubContentDependency -> HubContentDependency -> Bool #

Hashable HubContentDependency Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HubContentDependency

Methods

hashWithSalt :: Int -> HubContentDependency -> Int #

hash :: HubContentDependency -> Int #

type Rep HubContentDependency Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HubContentDependency

type Rep HubContentDependency = D1 ('MetaData "HubContentDependency" "Amazonka.SageMaker.Types.HubContentDependency" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "HubContentDependency'" 'PrefixI 'True) (S1 ('MetaSel ('Just "dependencyCopyPath") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "dependencyOriginPath") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))

newHubContentDependency :: HubContentDependency Source #

Create a value of HubContentDependency with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:dependencyCopyPath:HubContentDependency', hubContentDependency_dependencyCopyPath - The hub content dependency copy path.

$sel:dependencyOriginPath:HubContentDependency', hubContentDependency_dependencyOriginPath - The hub content dependency origin path.

hubContentDependency_dependencyCopyPath :: Lens' HubContentDependency (Maybe Text) Source #

The hub content dependency copy path.

hubContentDependency_dependencyOriginPath :: Lens' HubContentDependency (Maybe Text) Source #

The hub content dependency origin path.

HubContentInfo

data HubContentInfo Source #

Information about hub content.

See: newHubContentInfo smart constructor.

Constructors

HubContentInfo' 

Fields

Instances

Instances details
FromJSON HubContentInfo Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HubContentInfo

Methods

parseJSON :: Value -> Parser HubContentInfo #

parseJSONList :: Value -> Parser [HubContentInfo] #

Generic HubContentInfo Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HubContentInfo

Associated Types

type Rep HubContentInfo :: Type -> Type #

Methods

from :: HubContentInfo -> Rep HubContentInfo x #

to :: Rep HubContentInfo x -> HubContentInfo #

Read HubContentInfo Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HubContentInfo

Methods

readsPrec :: Int -> ReadS HubContentInfo #

readList :: ReadS [HubContentInfo] #

readPrec :: ReadPrec HubContentInfo #

readListPrec :: ReadPrec [HubContentInfo] #

Show HubContentInfo Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HubContentInfo

Methods

showsPrec :: Int -> HubContentInfo -> ShowS #

show :: HubContentInfo -> String #

showList :: [HubContentInfo] -> ShowS #

NFData HubContentInfo Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HubContentInfo

Methods

rnf :: HubContentInfo -> () #

Eq HubContentInfo Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HubContentInfo

Methods

(==) :: HubContentInfo -> HubContentInfo -> Bool #

(/=) :: HubContentInfo -> HubContentInfo -> Bool #

Hashable HubContentInfo Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HubContentInfo

Methods

hashWithSalt :: Int -> HubContentInfo -> Int #

hash :: HubContentInfo -> Int #

type Rep HubContentInfo Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HubContentInfo

type Rep HubContentInfo = D1 ('MetaData "HubContentInfo" "Amazonka.SageMaker.Types.HubContentInfo" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "HubContentInfo'" 'PrefixI 'True) (((S1 ('MetaSel ('Just "hubContentDescription") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "hubContentDisplayName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))) :*: (S1 ('MetaSel ('Just "hubContentSearchKeywords") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [Text])) :*: (S1 ('MetaSel ('Just "hubContentName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: S1 ('MetaSel ('Just "hubContentArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))) :*: ((S1 ('MetaSel ('Just "hubContentVersion") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: S1 ('MetaSel ('Just "hubContentType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 HubContentType)) :*: (S1 ('MetaSel ('Just "documentSchemaVersion") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: (S1 ('MetaSel ('Just "hubContentStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 HubContentStatus) :*: S1 ('MetaSel ('Just "creationTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 POSIX))))))

newHubContentInfo Source #

Arguments

:: Text

$sel:hubContentName:HubContentInfo'

-> Text

$sel:hubContentArn:HubContentInfo'

-> Text

$sel:hubContentVersion:HubContentInfo'

-> HubContentType

$sel:hubContentType:HubContentInfo'

-> Text

$sel:documentSchemaVersion:HubContentInfo'

-> HubContentStatus

$sel:hubContentStatus:HubContentInfo'

-> UTCTime

$sel:creationTime:HubContentInfo'

-> HubContentInfo 

Create a value of HubContentInfo with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:hubContentDescription:HubContentInfo', hubContentInfo_hubContentDescription - A description of the hub content.

$sel:hubContentDisplayName:HubContentInfo', hubContentInfo_hubContentDisplayName - The display name of the hub content.

$sel:hubContentSearchKeywords:HubContentInfo', hubContentInfo_hubContentSearchKeywords - The searchable keywords for the hub content.

$sel:hubContentName:HubContentInfo', hubContentInfo_hubContentName - The name of the hub content.

$sel:hubContentArn:HubContentInfo', hubContentInfo_hubContentArn - The Amazon Resource Name (ARN) of the hub content.

$sel:hubContentVersion:HubContentInfo', hubContentInfo_hubContentVersion - The version of the hub content.

$sel:hubContentType:HubContentInfo', hubContentInfo_hubContentType - The type of hub content.

$sel:documentSchemaVersion:HubContentInfo', hubContentInfo_documentSchemaVersion - The version of the hub content document schema.

$sel:hubContentStatus:HubContentInfo', hubContentInfo_hubContentStatus - The status of the hub content.

$sel:creationTime:HubContentInfo', hubContentInfo_creationTime - The date and time that the hub content was created.

hubContentInfo_hubContentDescription :: Lens' HubContentInfo (Maybe Text) Source #

A description of the hub content.

hubContentInfo_hubContentDisplayName :: Lens' HubContentInfo (Maybe Text) Source #

The display name of the hub content.

hubContentInfo_hubContentSearchKeywords :: Lens' HubContentInfo (Maybe [Text]) Source #

The searchable keywords for the hub content.

hubContentInfo_hubContentName :: Lens' HubContentInfo Text Source #

The name of the hub content.

hubContentInfo_hubContentArn :: Lens' HubContentInfo Text Source #

The Amazon Resource Name (ARN) of the hub content.

hubContentInfo_hubContentVersion :: Lens' HubContentInfo Text Source #

The version of the hub content.

hubContentInfo_hubContentType :: Lens' HubContentInfo HubContentType Source #

The type of hub content.

hubContentInfo_documentSchemaVersion :: Lens' HubContentInfo Text Source #

The version of the hub content document schema.

hubContentInfo_hubContentStatus :: Lens' HubContentInfo HubContentStatus Source #

The status of the hub content.

hubContentInfo_creationTime :: Lens' HubContentInfo UTCTime Source #

The date and time that the hub content was created.

HubInfo

data HubInfo Source #

Information about a hub.

See: newHubInfo smart constructor.

Constructors

HubInfo' 

Fields

Instances

Instances details
FromJSON HubInfo Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HubInfo

Methods

parseJSON :: Value -> Parser HubInfo #

parseJSONList :: Value -> Parser [HubInfo] #

Generic HubInfo Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HubInfo

Associated Types

type Rep HubInfo :: Type -> Type #

Methods

from :: HubInfo -> Rep HubInfo x #

to :: Rep HubInfo x -> HubInfo #

Read HubInfo Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HubInfo

Methods

readsPrec :: Int -> ReadS HubInfo #

readList :: ReadS [HubInfo] #

readPrec :: ReadPrec HubInfo #

readListPrec :: ReadPrec [HubInfo] #

Show HubInfo Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HubInfo

Methods

showsPrec :: Int -> HubInfo -> ShowS #

show :: HubInfo -> String #

showList :: [HubInfo] -> ShowS #

NFData HubInfo Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HubInfo

Methods

rnf :: HubInfo -> () #

Eq HubInfo Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HubInfo

Methods

(==) :: HubInfo -> HubInfo -> Bool #

(/=) :: HubInfo -> HubInfo -> Bool #

Hashable HubInfo Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HubInfo

Methods

hashWithSalt :: Int -> HubInfo -> Int #

hash :: HubInfo -> Int #

type Rep HubInfo Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HubInfo

type Rep HubInfo = D1 ('MetaData "HubInfo" "Amazonka.SageMaker.Types.HubInfo" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "HubInfo'" 'PrefixI 'True) (((S1 ('MetaSel ('Just "hubDescription") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "hubDisplayName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))) :*: (S1 ('MetaSel ('Just "hubSearchKeywords") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [Text])) :*: S1 ('MetaSel ('Just "hubName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text))) :*: ((S1 ('MetaSel ('Just "hubArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: S1 ('MetaSel ('Just "hubStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 HubStatus)) :*: (S1 ('MetaSel ('Just "creationTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 POSIX) :*: S1 ('MetaSel ('Just "lastModifiedTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 POSIX)))))

newHubInfo Source #

Arguments

:: Text

$sel:hubName:HubInfo'

-> Text

$sel:hubArn:HubInfo'

-> HubStatus

$sel:hubStatus:HubInfo'

-> UTCTime

$sel:creationTime:HubInfo'

-> UTCTime

$sel:lastModifiedTime:HubInfo'

-> HubInfo 

Create a value of HubInfo with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:hubDescription:HubInfo', hubInfo_hubDescription - A description of the hub.

$sel:hubDisplayName:HubInfo', hubInfo_hubDisplayName - The display name of the hub.

$sel:hubSearchKeywords:HubInfo', hubInfo_hubSearchKeywords - The searchable keywords for the hub.

$sel:hubName:HubInfo', hubInfo_hubName - The name of the hub.

$sel:hubArn:HubInfo', hubInfo_hubArn - The Amazon Resource Name (ARN) of the hub.

$sel:hubStatus:HubInfo', hubInfo_hubStatus - The status of the hub.

$sel:creationTime:HubInfo', hubInfo_creationTime - The date and time that the hub was created.

$sel:lastModifiedTime:HubInfo', hubInfo_lastModifiedTime - The date and time that the hub was last modified.

hubInfo_hubDescription :: Lens' HubInfo (Maybe Text) Source #

A description of the hub.

hubInfo_hubDisplayName :: Lens' HubInfo (Maybe Text) Source #

The display name of the hub.

hubInfo_hubSearchKeywords :: Lens' HubInfo (Maybe [Text]) Source #

The searchable keywords for the hub.

hubInfo_hubName :: Lens' HubInfo Text Source #

The name of the hub.

hubInfo_hubArn :: Lens' HubInfo Text Source #

The Amazon Resource Name (ARN) of the hub.

hubInfo_hubStatus :: Lens' HubInfo HubStatus Source #

The status of the hub.

hubInfo_creationTime :: Lens' HubInfo UTCTime Source #

The date and time that the hub was created.

hubInfo_lastModifiedTime :: Lens' HubInfo UTCTime Source #

The date and time that the hub was last modified.

HubS3StorageConfig

data HubS3StorageConfig Source #

The Amazon S3 storage configuration of a hub.

See: newHubS3StorageConfig smart constructor.

Constructors

HubS3StorageConfig' 

Fields

Instances

Instances details
FromJSON HubS3StorageConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HubS3StorageConfig

Methods

parseJSON :: Value -> Parser HubS3StorageConfig #

parseJSONList :: Value -> Parser [HubS3StorageConfig] #

ToJSON HubS3StorageConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HubS3StorageConfig

Methods

toJSON :: HubS3StorageConfig -> Value #

toEncoding :: HubS3StorageConfig -> Encoding #

toJSONList :: [HubS3StorageConfig] -> Value #

toEncodingList :: [HubS3StorageConfig] -> Encoding #

Generic HubS3StorageConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HubS3StorageConfig

Associated Types

type Rep HubS3StorageConfig :: Type -> Type #

Methods

from :: HubS3StorageConfig -> Rep HubS3StorageConfig x #

to :: Rep HubS3StorageConfig x -> HubS3StorageConfig #

Read HubS3StorageConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HubS3StorageConfig

Methods

readsPrec :: Int -> ReadS HubS3StorageConfig #

readList :: ReadS [HubS3StorageConfig] #

readPrec :: ReadPrec HubS3StorageConfig #

readListPrec :: ReadPrec [HubS3StorageConfig] #

Show HubS3StorageConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HubS3StorageConfig

Methods

showsPrec :: Int -> HubS3StorageConfig -> ShowS #

show :: HubS3StorageConfig -> String #

showList :: [HubS3StorageConfig] -> ShowS #

NFData HubS3StorageConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HubS3StorageConfig

Methods

rnf :: HubS3StorageConfig -> () #

Eq HubS3StorageConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HubS3StorageConfig

Methods

(==) :: HubS3StorageConfig -> HubS3StorageConfig -> Bool #

(/=) :: HubS3StorageConfig -> HubS3StorageConfig -> Bool #

Hashable HubS3StorageConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HubS3StorageConfig

Methods

hashWithSalt :: Int -> HubS3StorageConfig -> Int #

hash :: HubS3StorageConfig -> Int #

type Rep HubS3StorageConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HubS3StorageConfig

type Rep HubS3StorageConfig = D1 ('MetaData "HubS3StorageConfig" "Amazonka.SageMaker.Types.HubS3StorageConfig" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "HubS3StorageConfig'" 'PrefixI 'True) (S1 ('MetaSel ('Just "s3OutputPath") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))

newHubS3StorageConfig :: HubS3StorageConfig Source #

Create a value of HubS3StorageConfig with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:s3OutputPath:HubS3StorageConfig', hubS3StorageConfig_s3OutputPath - The Amazon S3 output path for the hub.

hubS3StorageConfig_s3OutputPath :: Lens' HubS3StorageConfig (Maybe Text) Source #

The Amazon S3 output path for the hub.

HumanLoopActivationConditionsConfig

data HumanLoopActivationConditionsConfig Source #

Defines under what conditions SageMaker creates a human loop. Used within . See for the required format of activation conditions.

See: newHumanLoopActivationConditionsConfig smart constructor.

Constructors

HumanLoopActivationConditionsConfig' 

Fields

Instances

Instances details
FromJSON HumanLoopActivationConditionsConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HumanLoopActivationConditionsConfig

Methods

parseJSON :: Value -> Parser HumanLoopActivationConditionsConfig #

parseJSONList :: Value -> Parser [HumanLoopActivationConditionsConfig] #

ToJSON HumanLoopActivationConditionsConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HumanLoopActivationConditionsConfig

Methods

toJSON :: HumanLoopActivationConditionsConfig -> Value #

toEncoding :: HumanLoopActivationConditionsConfig -> Encoding #

toJSONList :: [HumanLoopActivationConditionsConfig] -> Value #

toEncodingList :: [HumanLoopActivationConditionsConfig] -> Encoding #

Generic HumanLoopActivationConditionsConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HumanLoopActivationConditionsConfig

Associated Types

type Rep HumanLoopActivationConditionsConfig :: Type -> Type #

Methods

from :: HumanLoopActivationConditionsConfig -> Rep HumanLoopActivationConditionsConfig x #

to :: Rep HumanLoopActivationConditionsConfig x -> HumanLoopActivationConditionsConfig #

Read HumanLoopActivationConditionsConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HumanLoopActivationConditionsConfig

Methods

readsPrec :: Int -> ReadS HumanLoopActivationConditionsConfig #

readList :: ReadS [HumanLoopActivationConditionsConfig] #

readPrec :: ReadPrec HumanLoopActivationConditionsConfig #

readListPrec :: ReadPrec [HumanLoopActivationConditionsConfig] #

Show HumanLoopActivationConditionsConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HumanLoopActivationConditionsConfig

Methods

showsPrec :: Int -> HumanLoopActivationConditionsConfig -> ShowS #

show :: HumanLoopActivationConditionsConfig -> String #

showList :: [HumanLoopActivationConditionsConfig] -> ShowS #

NFData HumanLoopActivationConditionsConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HumanLoopActivationConditionsConfig

Methods

rnf :: HumanLoopActivationConditionsConfig -> () #

Eq HumanLoopActivationConditionsConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HumanLoopActivationConditionsConfig

Methods

(==) :: HumanLoopActivationConditionsConfig -> HumanLoopActivationConditionsConfig -> Bool #

(/=) :: HumanLoopActivationConditionsConfig -> HumanLoopActivationConditionsConfig -> Bool #

Hashable HumanLoopActivationConditionsConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HumanLoopActivationConditionsConfig

Methods

hashWithSalt :: Int -> HumanLoopActivationConditionsConfig -> Int #

hash :: HumanLoopActivationConditionsConfig -> Int #

type Rep HumanLoopActivationConditionsConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HumanLoopActivationConditionsConfig

type Rep HumanLoopActivationConditionsConfig = D1 ('MetaData "HumanLoopActivationConditionsConfig" "Amazonka.SageMaker.Types.HumanLoopActivationConditionsConfig" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "HumanLoopActivationConditionsConfig'" 'PrefixI 'True) (S1 ('MetaSel ('Just "humanLoopActivationConditions") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))

newHumanLoopActivationConditionsConfig Source #

Arguments

:: Text

$sel:humanLoopActivationConditions:HumanLoopActivationConditionsConfig'

-> HumanLoopActivationConditionsConfig 

Create a value of HumanLoopActivationConditionsConfig with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:humanLoopActivationConditions:HumanLoopActivationConditionsConfig', humanLoopActivationConditionsConfig_humanLoopActivationConditions - JSON expressing use-case specific conditions declaratively. If any condition is matched, atomic tasks are created against the configured work team. The set of conditions is different for Rekognition and Textract. For more information about how to structure the JSON, see JSON Schema for Human Loop Activation Conditions in Amazon Augmented AI in the Amazon SageMaker Developer Guide.

humanLoopActivationConditionsConfig_humanLoopActivationConditions :: Lens' HumanLoopActivationConditionsConfig Text Source #

JSON expressing use-case specific conditions declaratively. If any condition is matched, atomic tasks are created against the configured work team. The set of conditions is different for Rekognition and Textract. For more information about how to structure the JSON, see JSON Schema for Human Loop Activation Conditions in Amazon Augmented AI in the Amazon SageMaker Developer Guide.

HumanLoopActivationConfig

data HumanLoopActivationConfig Source #

Provides information about how and under what conditions SageMaker creates a human loop. If HumanLoopActivationConfig is not given, then all requests go to humans.

See: newHumanLoopActivationConfig smart constructor.

Constructors

HumanLoopActivationConfig' 

Fields

Instances

Instances details
FromJSON HumanLoopActivationConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HumanLoopActivationConfig

Methods

parseJSON :: Value -> Parser HumanLoopActivationConfig #

parseJSONList :: Value -> Parser [HumanLoopActivationConfig] #

ToJSON HumanLoopActivationConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HumanLoopActivationConfig

Methods

toJSON :: HumanLoopActivationConfig -> Value #

toEncoding :: HumanLoopActivationConfig -> Encoding #

toJSONList :: [HumanLoopActivationConfig] -> Value #

toEncodingList :: [HumanLoopActivationConfig] -> Encoding #

Generic HumanLoopActivationConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HumanLoopActivationConfig

Associated Types

type Rep HumanLoopActivationConfig :: Type -> Type #

Methods

from :: HumanLoopActivationConfig -> Rep HumanLoopActivationConfig x #

to :: Rep HumanLoopActivationConfig x -> HumanLoopActivationConfig #

Read HumanLoopActivationConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HumanLoopActivationConfig

Methods

readsPrec :: Int -> ReadS HumanLoopActivationConfig #

readList :: ReadS [HumanLoopActivationConfig] #

readPrec :: ReadPrec HumanLoopActivationConfig #

readListPrec :: ReadPrec [HumanLoopActivationConfig] #

Show HumanLoopActivationConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HumanLoopActivationConfig

Methods

showsPrec :: Int -> HumanLoopActivationConfig -> ShowS #

show :: HumanLoopActivationConfig -> String #

showList :: [HumanLoopActivationConfig] -> ShowS #

NFData HumanLoopActivationConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HumanLoopActivationConfig

Methods

rnf :: HumanLoopActivationConfig -> () #

Eq HumanLoopActivationConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HumanLoopActivationConfig

Methods

(==) :: HumanLoopActivationConfig -> HumanLoopActivationConfig -> Bool #

(/=) :: HumanLoopActivationConfig -> HumanLoopActivationConfig -> Bool #

Hashable HumanLoopActivationConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HumanLoopActivationConfig

Methods

hashWithSalt :: Int -> HumanLoopActivationConfig -> Int #

hash :: HumanLoopActivationConfig -> Int #

type Rep HumanLoopActivationConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HumanLoopActivationConfig

type Rep HumanLoopActivationConfig = D1 ('MetaData "HumanLoopActivationConfig" "Amazonka.SageMaker.Types.HumanLoopActivationConfig" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "HumanLoopActivationConfig'" 'PrefixI 'True) (S1 ('MetaSel ('Just "humanLoopActivationConditionsConfig") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 HumanLoopActivationConditionsConfig)))

newHumanLoopActivationConfig Source #

Arguments

:: HumanLoopActivationConditionsConfig

$sel:humanLoopActivationConditionsConfig:HumanLoopActivationConfig'

-> HumanLoopActivationConfig 

Create a value of HumanLoopActivationConfig with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:humanLoopActivationConditionsConfig:HumanLoopActivationConfig', humanLoopActivationConfig_humanLoopActivationConditionsConfig - Container structure for defining under what conditions SageMaker creates a human loop.

humanLoopActivationConfig_humanLoopActivationConditionsConfig :: Lens' HumanLoopActivationConfig HumanLoopActivationConditionsConfig Source #

Container structure for defining under what conditions SageMaker creates a human loop.

HumanLoopConfig

data HumanLoopConfig Source #

Describes the work to be performed by human workers.

See: newHumanLoopConfig smart constructor.

Constructors

HumanLoopConfig' 

Fields

Instances

Instances details
FromJSON HumanLoopConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HumanLoopConfig

Methods

parseJSON :: Value -> Parser HumanLoopConfig #

parseJSONList :: Value -> Parser [HumanLoopConfig] #

ToJSON HumanLoopConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HumanLoopConfig

Methods

toJSON :: HumanLoopConfig -> Value #

toEncoding :: HumanLoopConfig -> Encoding #

toJSONList :: [HumanLoopConfig] -> Value #

toEncodingList :: [HumanLoopConfig] -> Encoding #

Generic HumanLoopConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HumanLoopConfig

Associated Types

type Rep HumanLoopConfig :: Type -> Type #

Methods

from :: HumanLoopConfig -> Rep HumanLoopConfig x #

to :: Rep HumanLoopConfig x -> HumanLoopConfig #

Read HumanLoopConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HumanLoopConfig

Methods

readsPrec :: Int -> ReadS HumanLoopConfig #

readList :: ReadS [HumanLoopConfig] #

readPrec :: ReadPrec HumanLoopConfig #

readListPrec :: ReadPrec [HumanLoopConfig] #

Show HumanLoopConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HumanLoopConfig

Methods

showsPrec :: Int -> HumanLoopConfig -> ShowS #

show :: HumanLoopConfig -> String #

showList :: [HumanLoopConfig] -> ShowS #

NFData HumanLoopConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HumanLoopConfig

Methods

rnf :: HumanLoopConfig -> () #

Eq HumanLoopConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HumanLoopConfig

Methods

(==) :: HumanLoopConfig -> HumanLoopConfig -> Bool #

(/=) :: HumanLoopConfig -> HumanLoopConfig -> Bool #

Hashable HumanLoopConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HumanLoopConfig

Methods

hashWithSalt :: Int -> HumanLoopConfig -> Int #

hash :: HumanLoopConfig -> Int #

type Rep HumanLoopConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HumanLoopConfig

type Rep HumanLoopConfig = D1 ('MetaData "HumanLoopConfig" "Amazonka.SageMaker.Types.HumanLoopConfig" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "HumanLoopConfig'" 'PrefixI 'True) (((S1 ('MetaSel ('Just "publicWorkforceTaskPrice") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe PublicWorkforceTaskPrice)) :*: S1 ('MetaSel ('Just "taskAvailabilityLifetimeInSeconds") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural))) :*: (S1 ('MetaSel ('Just "taskKeywords") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe (NonEmpty Text))) :*: S1 ('MetaSel ('Just "taskTimeLimitInSeconds") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural)))) :*: ((S1 ('MetaSel ('Just "workteamArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: S1 ('MetaSel ('Just "humanTaskUiArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)) :*: (S1 ('MetaSel ('Just "taskTitle") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: (S1 ('MetaSel ('Just "taskDescription") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: S1 ('MetaSel ('Just "taskCount") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Natural))))))

newHumanLoopConfig Source #

Arguments

:: Text

$sel:workteamArn:HumanLoopConfig'

-> Text

$sel:humanTaskUiArn:HumanLoopConfig'

-> Text

$sel:taskTitle:HumanLoopConfig'

-> Text

$sel:taskDescription:HumanLoopConfig'

-> Natural

$sel:taskCount:HumanLoopConfig'

-> HumanLoopConfig 

Create a value of HumanLoopConfig with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:publicWorkforceTaskPrice:HumanLoopConfig', humanLoopConfig_publicWorkforceTaskPrice - Undocumented member.

$sel:taskAvailabilityLifetimeInSeconds:HumanLoopConfig', humanLoopConfig_taskAvailabilityLifetimeInSeconds - The length of time that a task remains available for review by human workers.

$sel:taskKeywords:HumanLoopConfig', humanLoopConfig_taskKeywords - Keywords used to describe the task so that workers can discover the task.

$sel:taskTimeLimitInSeconds:HumanLoopConfig', humanLoopConfig_taskTimeLimitInSeconds - The amount of time that a worker has to complete a task. The default value is 3,600 seconds (1 hour).

$sel:workteamArn:HumanLoopConfig', humanLoopConfig_workteamArn - Amazon Resource Name (ARN) of a team of workers. To learn more about the types of workforces and work teams you can create and use with Amazon A2I, see Create and Manage Workforces.

$sel:humanTaskUiArn:HumanLoopConfig', humanLoopConfig_humanTaskUiArn - The Amazon Resource Name (ARN) of the human task user interface.

You can use standard HTML and Crowd HTML Elements to create a custom worker task template. You use this template to create a human task UI.

To learn how to create a custom HTML template, see Create Custom Worker Task Template.

To learn how to create a human task UI, which is a worker task template that can be used in a flow definition, see Create and Delete a Worker Task Templates.

$sel:taskTitle:HumanLoopConfig', humanLoopConfig_taskTitle - A title for the human worker task.

$sel:taskDescription:HumanLoopConfig', humanLoopConfig_taskDescription - A description for the human worker task.

$sel:taskCount:HumanLoopConfig', humanLoopConfig_taskCount - The number of distinct workers who will perform the same task on each object. For example, if TaskCount is set to 3 for an image classification labeling job, three workers will classify each input image. Increasing TaskCount can improve label accuracy.

humanLoopConfig_publicWorkforceTaskPrice :: Lens' HumanLoopConfig (Maybe PublicWorkforceTaskPrice) Source #

Undocumented member.

humanLoopConfig_taskAvailabilityLifetimeInSeconds :: Lens' HumanLoopConfig (Maybe Natural) Source #

The length of time that a task remains available for review by human workers.

humanLoopConfig_taskKeywords :: Lens' HumanLoopConfig (Maybe (NonEmpty Text)) Source #

Keywords used to describe the task so that workers can discover the task.

humanLoopConfig_taskTimeLimitInSeconds :: Lens' HumanLoopConfig (Maybe Natural) Source #

The amount of time that a worker has to complete a task. The default value is 3,600 seconds (1 hour).

humanLoopConfig_workteamArn :: Lens' HumanLoopConfig Text Source #

Amazon Resource Name (ARN) of a team of workers. To learn more about the types of workforces and work teams you can create and use with Amazon A2I, see Create and Manage Workforces.

humanLoopConfig_humanTaskUiArn :: Lens' HumanLoopConfig Text Source #

The Amazon Resource Name (ARN) of the human task user interface.

You can use standard HTML and Crowd HTML Elements to create a custom worker task template. You use this template to create a human task UI.

To learn how to create a custom HTML template, see Create Custom Worker Task Template.

To learn how to create a human task UI, which is a worker task template that can be used in a flow definition, see Create and Delete a Worker Task Templates.

humanLoopConfig_taskTitle :: Lens' HumanLoopConfig Text Source #

A title for the human worker task.

humanLoopConfig_taskDescription :: Lens' HumanLoopConfig Text Source #

A description for the human worker task.

humanLoopConfig_taskCount :: Lens' HumanLoopConfig Natural Source #

The number of distinct workers who will perform the same task on each object. For example, if TaskCount is set to 3 for an image classification labeling job, three workers will classify each input image. Increasing TaskCount can improve label accuracy.

HumanLoopRequestSource

data HumanLoopRequestSource Source #

Container for configuring the source of human task requests.

See: newHumanLoopRequestSource smart constructor.

Constructors

HumanLoopRequestSource' 

Fields

Instances

Instances details
FromJSON HumanLoopRequestSource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HumanLoopRequestSource

Methods

parseJSON :: Value -> Parser HumanLoopRequestSource #

parseJSONList :: Value -> Parser [HumanLoopRequestSource] #

ToJSON HumanLoopRequestSource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HumanLoopRequestSource

Methods

toJSON :: HumanLoopRequestSource -> Value #

toEncoding :: HumanLoopRequestSource -> Encoding #

toJSONList :: [HumanLoopRequestSource] -> Value #

toEncodingList :: [HumanLoopRequestSource] -> Encoding #

Generic HumanLoopRequestSource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HumanLoopRequestSource

Associated Types

type Rep HumanLoopRequestSource :: Type -> Type #

Methods

from :: HumanLoopRequestSource -> Rep HumanLoopRequestSource x #

to :: Rep HumanLoopRequestSource x -> HumanLoopRequestSource #

Read HumanLoopRequestSource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HumanLoopRequestSource

Methods

readsPrec :: Int -> ReadS HumanLoopRequestSource #

readList :: ReadS [HumanLoopRequestSource] #

readPrec :: ReadPrec HumanLoopRequestSource #

readListPrec :: ReadPrec [HumanLoopRequestSource] #

Show HumanLoopRequestSource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HumanLoopRequestSource

Methods

showsPrec :: Int -> HumanLoopRequestSource -> ShowS #

show :: HumanLoopRequestSource -> String #

showList :: [HumanLoopRequestSource] -> ShowS #

NFData HumanLoopRequestSource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HumanLoopRequestSource

Methods

rnf :: HumanLoopRequestSource -> () #

Eq HumanLoopRequestSource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HumanLoopRequestSource

Methods

(==) :: HumanLoopRequestSource -> HumanLoopRequestSource -> Bool #

(/=) :: HumanLoopRequestSource -> HumanLoopRequestSource -> Bool #

Hashable HumanLoopRequestSource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HumanLoopRequestSource

Methods

hashWithSalt :: Int -> HumanLoopRequestSource -> Int #

hash :: HumanLoopRequestSource -> Int #

type Rep HumanLoopRequestSource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HumanLoopRequestSource

type Rep HumanLoopRequestSource = D1 ('MetaData "HumanLoopRequestSource" "Amazonka.SageMaker.Types.HumanLoopRequestSource" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "HumanLoopRequestSource'" 'PrefixI 'True) (S1 ('MetaSel ('Just "awsManagedHumanLoopRequestSource") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 AwsManagedHumanLoopRequestSource)))

newHumanLoopRequestSource Source #

Arguments

:: AwsManagedHumanLoopRequestSource

$sel:awsManagedHumanLoopRequestSource:HumanLoopRequestSource'

-> HumanLoopRequestSource 

Create a value of HumanLoopRequestSource with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:awsManagedHumanLoopRequestSource:HumanLoopRequestSource', humanLoopRequestSource_awsManagedHumanLoopRequestSource - Specifies whether Amazon Rekognition or Amazon Textract are used as the integration source. The default field settings and JSON parsing rules are different based on the integration source. Valid values:

humanLoopRequestSource_awsManagedHumanLoopRequestSource :: Lens' HumanLoopRequestSource AwsManagedHumanLoopRequestSource Source #

Specifies whether Amazon Rekognition or Amazon Textract are used as the integration source. The default field settings and JSON parsing rules are different based on the integration source. Valid values:

HumanTaskConfig

data HumanTaskConfig Source #

Information required for human workers to complete a labeling task.

See: newHumanTaskConfig smart constructor.

Constructors

HumanTaskConfig' 

Fields

  • maxConcurrentTaskCount :: Maybe Natural

    Defines the maximum number of data objects that can be labeled by human workers at the same time. Also referred to as batch size. Each object may have more than one worker at one time. The default value is 1000 objects. To increase the maximum value to 5000 objects, contact Amazon Web Services Support.

  • publicWorkforceTaskPrice :: Maybe PublicWorkforceTaskPrice

    The price that you pay for each task performed by an Amazon Mechanical Turk worker.

  • taskAvailabilityLifetimeInSeconds :: Maybe Natural

    The length of time that a task remains available for labeling by human workers. The default and maximum values for this parameter depend on the type of workforce you use.

    • If you choose the Amazon Mechanical Turk workforce, the maximum is 12 hours (43,200 seconds). The default is 6 hours (21,600 seconds).
    • If you choose a private or vendor workforce, the default value is 30 days (2592,000 seconds) for non-AL mode. For most users, the maximum is also 30 days.
  • taskKeywords :: Maybe (NonEmpty Text)

    Keywords used to describe the task so that workers on Amazon Mechanical Turk can discover the task.

  • workteamArn :: Text

    The Amazon Resource Name (ARN) of the work team assigned to complete the tasks.

  • uiConfig :: UiConfig

    Information about the user interface that workers use to complete the labeling task.

  • preHumanTaskLambdaArn :: Text

    The Amazon Resource Name (ARN) of a Lambda function that is run before a data object is sent to a human worker. Use this function to provide input to a custom labeling job.

    For built-in task types, use one of the following Amazon SageMaker Ground Truth Lambda function ARNs for PreHumanTaskLambdaArn. For custom labeling workflows, see Pre-annotation Lambda.

    Bounding box - Finds the most similar boxes from different workers based on the Jaccard index of the boxes.

    • arn:aws:lambda:us-east-1:432418664414:function:PRE-BoundingBox
    • arn:aws:lambda:us-east-2:266458841044:function:PRE-BoundingBox
    • arn:aws:lambda:us-west-2:081040173940:function:PRE-BoundingBox
    • arn:aws:lambda:ca-central-1:918755190332:function:PRE-BoundingBox
    • arn:aws:lambda:eu-west-1:568282634449:function:PRE-BoundingBox
    • arn:aws:lambda:eu-west-2:487402164563:function:PRE-BoundingBox
    • arn:aws:lambda:eu-central-1:203001061592:function:PRE-BoundingBox
    • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-BoundingBox
    • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-BoundingBox
    • arn:aws:lambda:ap-south-1:565803892007:function:PRE-BoundingBox
    • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-BoundingBox
    • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-BoundingBox

    Image classification - Uses a variant of the Expectation Maximization approach to estimate the true class of an image based on annotations from individual workers.

    • arn:aws:lambda:us-east-1:432418664414:function:PRE-ImageMultiClass
    • arn:aws:lambda:us-east-2:266458841044:function:PRE-ImageMultiClass
    • arn:aws:lambda:us-west-2:081040173940:function:PRE-ImageMultiClass
    • arn:aws:lambda:ca-central-1:918755190332:function:PRE-ImageMultiClass
    • arn:aws:lambda:eu-west-1:568282634449:function:PRE-ImageMultiClass
    • arn:aws:lambda:eu-west-2:487402164563:function:PRE-ImageMultiClass
    • arn:aws:lambda:eu-central-1:203001061592:function:PRE-ImageMultiClass
    • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-ImageMultiClass
    • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-ImageMultiClass
    • arn:aws:lambda:ap-south-1:565803892007:function:PRE-ImageMultiClass
    • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-ImageMultiClass
    • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-ImageMultiClass

    Multi-label image classification - Uses a variant of the Expectation Maximization approach to estimate the true classes of an image based on annotations from individual workers.

    • arn:aws:lambda:us-east-1:432418664414:function:PRE-ImageMultiClassMultiLabel
    • arn:aws:lambda:us-east-2:266458841044:function:PRE-ImageMultiClassMultiLabel
    • arn:aws:lambda:us-west-2:081040173940:function:PRE-ImageMultiClassMultiLabel
    • arn:aws:lambda:ca-central-1:918755190332:function:PRE-ImageMultiClassMultiLabel
    • arn:aws:lambda:eu-west-1:568282634449:function:PRE-ImageMultiClassMultiLabel
    • arn:aws:lambda:eu-west-2:487402164563:function:PRE-ImageMultiClassMultiLabel
    • arn:aws:lambda:eu-central-1:203001061592:function:PRE-ImageMultiClassMultiLabel
    • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-ImageMultiClassMultiLabel
    • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-ImageMultiClassMultiLabel
    • arn:aws:lambda:ap-south-1:565803892007:function:PRE-ImageMultiClassMultiLabel
    • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-ImageMultiClassMultiLabel
    • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-ImageMultiClassMultiLabel

    Semantic segmentation - Treats each pixel in an image as a multi-class classification and treats pixel annotations from workers as "votes" for the correct label.

    • arn:aws:lambda:us-east-1:432418664414:function:PRE-SemanticSegmentation
    • arn:aws:lambda:us-east-2:266458841044:function:PRE-SemanticSegmentation
    • arn:aws:lambda:us-west-2:081040173940:function:PRE-SemanticSegmentation
    • arn:aws:lambda:ca-central-1:918755190332:function:PRE-SemanticSegmentation
    • arn:aws:lambda:eu-west-1:568282634449:function:PRE-SemanticSegmentation
    • arn:aws:lambda:eu-west-2:487402164563:function:PRE-SemanticSegmentation
    • arn:aws:lambda:eu-central-1:203001061592:function:PRE-SemanticSegmentation
    • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-SemanticSegmentation
    • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-SemanticSegmentation
    • arn:aws:lambda:ap-south-1:565803892007:function:PRE-SemanticSegmentation
    • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-SemanticSegmentation
    • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-SemanticSegmentation

    Text classification - Uses a variant of the Expectation Maximization approach to estimate the true class of text based on annotations from individual workers.

    • arn:aws:lambda:us-east-1:432418664414:function:PRE-TextMultiClass
    • arn:aws:lambda:us-east-2:266458841044:function:PRE-TextMultiClass
    • arn:aws:lambda:us-west-2:081040173940:function:PRE-TextMultiClass
    • arn:aws:lambda:ca-central-1:918755190332:function:PRE-TextMultiClass
    • arn:aws:lambda:eu-west-1:568282634449:function:PRE-TextMultiClass
    • arn:aws:lambda:eu-west-2:487402164563:function:PRE-TextMultiClass
    • arn:aws:lambda:eu-central-1:203001061592:function:PRE-TextMultiClass
    • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-TextMultiClass
    • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-TextMultiClass
    • arn:aws:lambda:ap-south-1:565803892007:function:PRE-TextMultiClass
    • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-TextMultiClass
    • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-TextMultiClass

    Multi-label text classification - Uses a variant of the Expectation Maximization approach to estimate the true classes of text based on annotations from individual workers.

    • arn:aws:lambda:us-east-1:432418664414:function:PRE-TextMultiClassMultiLabel
    • arn:aws:lambda:us-east-2:266458841044:function:PRE-TextMultiClassMultiLabel
    • arn:aws:lambda:us-west-2:081040173940:function:PRE-TextMultiClassMultiLabel
    • arn:aws:lambda:ca-central-1:918755190332:function:PRE-TextMultiClassMultiLabel
    • arn:aws:lambda:eu-west-1:568282634449:function:PRE-TextMultiClassMultiLabel
    • arn:aws:lambda:eu-west-2:487402164563:function:PRE-TextMultiClassMultiLabel
    • arn:aws:lambda:eu-central-1:203001061592:function:PRE-TextMultiClassMultiLabel
    • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-TextMultiClassMultiLabel
    • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-TextMultiClassMultiLabel
    • arn:aws:lambda:ap-south-1:565803892007:function:PRE-TextMultiClassMultiLabel
    • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-TextMultiClassMultiLabel
    • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-TextMultiClassMultiLabel

    Named entity recognition - Groups similar selections and calculates aggregate boundaries, resolving to most-assigned label.

    • arn:aws:lambda:us-east-1:432418664414:function:PRE-NamedEntityRecognition
    • arn:aws:lambda:us-east-2:266458841044:function:PRE-NamedEntityRecognition
    • arn:aws:lambda:us-west-2:081040173940:function:PRE-NamedEntityRecognition
    • arn:aws:lambda:ca-central-1:918755190332:function:PRE-NamedEntityRecognition
    • arn:aws:lambda:eu-west-1:568282634449:function:PRE-NamedEntityRecognition
    • arn:aws:lambda:eu-west-2:487402164563:function:PRE-NamedEntityRecognition
    • arn:aws:lambda:eu-central-1:203001061592:function:PRE-NamedEntityRecognition
    • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-NamedEntityRecognition
    • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-NamedEntityRecognition
    • arn:aws:lambda:ap-south-1:565803892007:function:PRE-NamedEntityRecognition
    • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-NamedEntityRecognition
    • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-NamedEntityRecognition

    Video Classification - Use this task type when you need workers to classify videos using predefined labels that you specify. Workers are shown videos and are asked to choose one label for each video.

    • arn:aws:lambda:us-east-1:432418664414:function:PRE-VideoMultiClass
    • arn:aws:lambda:us-east-2:266458841044:function:PRE-VideoMultiClass
    • arn:aws:lambda:us-west-2:081040173940:function:PRE-VideoMultiClass
    • arn:aws:lambda:eu-west-1:568282634449:function:PRE-VideoMultiClass
    • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-VideoMultiClass
    • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-VideoMultiClass
    • arn:aws:lambda:ap-south-1:565803892007:function:PRE-VideoMultiClass
    • arn:aws:lambda:eu-central-1:203001061592:function:PRE-VideoMultiClass
    • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-VideoMultiClass
    • arn:aws:lambda:eu-west-2:487402164563:function:PRE-VideoMultiClass
    • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-VideoMultiClass
    • arn:aws:lambda:ca-central-1:918755190332:function:PRE-VideoMultiClass

    Video Frame Object Detection - Use this task type to have workers identify and locate objects in a sequence of video frames (images extracted from a video) using bounding boxes. For example, you can use this task to ask workers to identify and localize various objects in a series of video frames, such as cars, bikes, and pedestrians.

    • arn:aws:lambda:us-east-1:432418664414:function:PRE-VideoObjectDetection
    • arn:aws:lambda:us-east-2:266458841044:function:PRE-VideoObjectDetection
    • arn:aws:lambda:us-west-2:081040173940:function:PRE-VideoObjectDetection
    • arn:aws:lambda:eu-west-1:568282634449:function:PRE-VideoObjectDetection
    • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-VideoObjectDetection
    • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-VideoObjectDetection
    • arn:aws:lambda:ap-south-1:565803892007:function:PRE-VideoObjectDetection
    • arn:aws:lambda:eu-central-1:203001061592:function:PRE-VideoObjectDetection
    • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-VideoObjectDetection
    • arn:aws:lambda:eu-west-2:487402164563:function:PRE-VideoObjectDetection
    • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-VideoObjectDetection
    • arn:aws:lambda:ca-central-1:918755190332:function:PRE-VideoObjectDetection

    Video Frame Object Tracking - Use this task type to have workers track the movement of objects in a sequence of video frames (images extracted from a video) using bounding boxes. For example, you can use this task to ask workers to track the movement of objects, such as cars, bikes, and pedestrians.

    • arn:aws:lambda:us-east-1:432418664414:function:PRE-VideoObjectTracking
    • arn:aws:lambda:us-east-2:266458841044:function:PRE-VideoObjectTracking
    • arn:aws:lambda:us-west-2:081040173940:function:PRE-VideoObjectTracking
    • arn:aws:lambda:eu-west-1:568282634449:function:PRE-VideoObjectTracking
    • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-VideoObjectTracking
    • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-VideoObjectTracking
    • arn:aws:lambda:ap-south-1:565803892007:function:PRE-VideoObjectTracking
    • arn:aws:lambda:eu-central-1:203001061592:function:PRE-VideoObjectTracking
    • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-VideoObjectTracking
    • arn:aws:lambda:eu-west-2:487402164563:function:PRE-VideoObjectTracking
    • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-VideoObjectTracking
    • arn:aws:lambda:ca-central-1:918755190332:function:PRE-VideoObjectTracking

    3D Point Cloud Modalities

    Use the following pre-annotation lambdas for 3D point cloud labeling modality tasks. See 3D Point Cloud Task types to learn more.

    3D Point Cloud Object Detection - Use this task type when you want workers to classify objects in a 3D point cloud by drawing 3D cuboids around objects. For example, you can use this task type to ask workers to identify different types of objects in a point cloud, such as cars, bikes, and pedestrians.

    • arn:aws:lambda:us-east-1:432418664414:function:PRE-3DPointCloudObjectDetection
    • arn:aws:lambda:us-east-2:266458841044:function:PRE-3DPointCloudObjectDetection
    • arn:aws:lambda:us-west-2:081040173940:function:PRE-3DPointCloudObjectDetection
    • arn:aws:lambda:eu-west-1:568282634449:function:PRE-3DPointCloudObjectDetection
    • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-3DPointCloudObjectDetection
    • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-3DPointCloudObjectDetection
    • arn:aws:lambda:ap-south-1:565803892007:function:PRE-3DPointCloudObjectDetection
    • arn:aws:lambda:eu-central-1:203001061592:function:PRE-3DPointCloudObjectDetection
    • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-3DPointCloudObjectDetection
    • arn:aws:lambda:eu-west-2:487402164563:function:PRE-3DPointCloudObjectDetection
    • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-3DPointCloudObjectDetection
    • arn:aws:lambda:ca-central-1:918755190332:function:PRE-3DPointCloudObjectDetection

    3D Point Cloud Object Tracking - Use this task type when you want workers to draw 3D cuboids around objects that appear in a sequence of 3D point cloud frames. For example, you can use this task type to ask workers to track the movement of vehicles across multiple point cloud frames.

    • arn:aws:lambda:us-east-1:432418664414:function:PRE-3DPointCloudObjectTracking
    • arn:aws:lambda:us-east-2:266458841044:function:PRE-3DPointCloudObjectTracking
    • arn:aws:lambda:us-west-2:081040173940:function:PRE-3DPointCloudObjectTracking
    • arn:aws:lambda:eu-west-1:568282634449:function:PRE-3DPointCloudObjectTracking
    • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-3DPointCloudObjectTracking
    • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-3DPointCloudObjectTracking
    • arn:aws:lambda:ap-south-1:565803892007:function:PRE-3DPointCloudObjectTracking
    • arn:aws:lambda:eu-central-1:203001061592:function:PRE-3DPointCloudObjectTracking
    • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-3DPointCloudObjectTracking
    • arn:aws:lambda:eu-west-2:487402164563:function:PRE-3DPointCloudObjectTracking
    • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-3DPointCloudObjectTracking
    • arn:aws:lambda:ca-central-1:918755190332:function:PRE-3DPointCloudObjectTracking

    3D Point Cloud Semantic Segmentation - Use this task type when you want workers to create a point-level semantic segmentation masks by painting objects in a 3D point cloud using different colors where each color is assigned to one of the classes you specify.

    • arn:aws:lambda:us-east-1:432418664414:function:PRE-3DPointCloudSemanticSegmentation
    • arn:aws:lambda:us-east-2:266458841044:function:PRE-3DPointCloudSemanticSegmentation
    • arn:aws:lambda:us-west-2:081040173940:function:PRE-3DPointCloudSemanticSegmentation
    • arn:aws:lambda:eu-west-1:568282634449:function:PRE-3DPointCloudSemanticSegmentation
    • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-3DPointCloudSemanticSegmentation
    • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-3DPointCloudSemanticSegmentation
    • arn:aws:lambda:ap-south-1:565803892007:function:PRE-3DPointCloudSemanticSegmentation
    • arn:aws:lambda:eu-central-1:203001061592:function:PRE-3DPointCloudSemanticSegmentation
    • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-3DPointCloudSemanticSegmentation
    • arn:aws:lambda:eu-west-2:487402164563:function:PRE-3DPointCloudSemanticSegmentation
    • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-3DPointCloudSemanticSegmentation
    • arn:aws:lambda:ca-central-1:918755190332:function:PRE-3DPointCloudSemanticSegmentation

    Use the following ARNs for Label Verification and Adjustment Jobs

    Use label verification and adjustment jobs to review and adjust labels. To learn more, see Verify and Adjust Labels .

    Bounding box verification - Uses a variant of the Expectation Maximization approach to estimate the true class of verification judgement for bounding box labels based on annotations from individual workers.

    • arn:aws:lambda:us-east-1:432418664414:function:PRE-VerificationBoundingBox
    • arn:aws:lambda:us-east-2:266458841044:function:PRE-VerificationBoundingBox
    • arn:aws:lambda:us-west-2:081040173940:function:PRE-VerificationBoundingBox
    • arn:aws:lambda:eu-west-1:568282634449:function:PRE-VerificationBoundingBox
    • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-VerificationBoundingBox
    • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-VerificationBoundingBox
    • arn:aws:lambda:ap-south-1:565803892007:function:PRE-VerificationBoundingBox
    • arn:aws:lambda:eu-central-1:203001061592:function:PRE-VerificationBoundingBox
    • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-VerificationBoundingBox
    • arn:aws:lambda:eu-west-2:487402164563:function:PRE-VerificationBoundingBox
    • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-VerificationBoundingBox
    • arn:aws:lambda:ca-central-1:918755190332:function:PRE-VerificationBoundingBox

    Bounding box adjustment - Finds the most similar boxes from different workers based on the Jaccard index of the adjusted annotations.

    • arn:aws:lambda:us-east-1:432418664414:function:PRE-AdjustmentBoundingBox
    • arn:aws:lambda:us-east-2:266458841044:function:PRE-AdjustmentBoundingBox
    • arn:aws:lambda:us-west-2:081040173940:function:PRE-AdjustmentBoundingBox
    • arn:aws:lambda:ca-central-1:918755190332:function:PRE-AdjustmentBoundingBox
    • arn:aws:lambda:eu-west-1:568282634449:function:PRE-AdjustmentBoundingBox
    • arn:aws:lambda:eu-west-2:487402164563:function:PRE-AdjustmentBoundingBox
    • arn:aws:lambda:eu-central-1:203001061592:function:PRE-AdjustmentBoundingBox
    • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-AdjustmentBoundingBox
    • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-AdjustmentBoundingBox
    • arn:aws:lambda:ap-south-1:565803892007:function:PRE-AdjustmentBoundingBox
    • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-AdjustmentBoundingBox
    • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-AdjustmentBoundingBox

    Semantic segmentation verification - Uses a variant of the Expectation Maximization approach to estimate the true class of verification judgment for semantic segmentation labels based on annotations from individual workers.

    • arn:aws:lambda:us-east-1:432418664414:function:PRE-VerificationSemanticSegmentation
    • arn:aws:lambda:us-east-2:266458841044:function:PRE-VerificationSemanticSegmentation
    • arn:aws:lambda:us-west-2:081040173940:function:PRE-VerificationSemanticSegmentation
    • arn:aws:lambda:ca-central-1:918755190332:function:PRE-VerificationSemanticSegmentation
    • arn:aws:lambda:eu-west-1:568282634449:function:PRE-VerificationSemanticSegmentation
    • arn:aws:lambda:eu-west-2:487402164563:function:PRE-VerificationSemanticSegmentation
    • arn:aws:lambda:eu-central-1:203001061592:function:PRE-VerificationSemanticSegmentation
    • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-VerificationSemanticSegmentation
    • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-VerificationSemanticSegmentation
    • arn:aws:lambda:ap-south-1:565803892007:function:PRE-VerificationSemanticSegmentation
    • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-VerificationSemanticSegmentation
    • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-VerificationSemanticSegmentation

    Semantic segmentation adjustment - Treats each pixel in an image as a multi-class classification and treats pixel adjusted annotations from workers as "votes" for the correct label.

    • arn:aws:lambda:us-east-1:432418664414:function:PRE-AdjustmentSemanticSegmentation
    • arn:aws:lambda:us-east-2:266458841044:function:PRE-AdjustmentSemanticSegmentation
    • arn:aws:lambda:us-west-2:081040173940:function:PRE-AdjustmentSemanticSegmentation
    • arn:aws:lambda:ca-central-1:918755190332:function:PRE-AdjustmentSemanticSegmentation
    • arn:aws:lambda:eu-west-1:568282634449:function:PRE-AdjustmentSemanticSegmentation
    • arn:aws:lambda:eu-west-2:487402164563:function:PRE-AdjustmentSemanticSegmentation
    • arn:aws:lambda:eu-central-1:203001061592:function:PRE-AdjustmentSemanticSegmentation
    • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-AdjustmentSemanticSegmentation
    • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-AdjustmentSemanticSegmentation
    • arn:aws:lambda:ap-south-1:565803892007:function:PRE-AdjustmentSemanticSegmentation
    • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-AdjustmentSemanticSegmentation
    • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-AdjustmentSemanticSegmentation

    Video Frame Object Detection Adjustment - Use this task type when you want workers to adjust bounding boxes that workers have added to video frames to classify and localize objects in a sequence of video frames.

    • arn:aws:lambda:us-east-1:432418664414:function:PRE-AdjustmentVideoObjectDetection
    • arn:aws:lambda:us-east-2:266458841044:function:PRE-AdjustmentVideoObjectDetection
    • arn:aws:lambda:us-west-2:081040173940:function:PRE-AdjustmentVideoObjectDetection
    • arn:aws:lambda:eu-west-1:568282634449:function:PRE-AdjustmentVideoObjectDetection
    • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-AdjustmentVideoObjectDetection
    • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-AdjustmentVideoObjectDetection
    • arn:aws:lambda:ap-south-1:565803892007:function:PRE-AdjustmentVideoObjectDetection
    • arn:aws:lambda:eu-central-1:203001061592:function:PRE-AdjustmentVideoObjectDetection
    • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-AdjustmentVideoObjectDetection
    • arn:aws:lambda:eu-west-2:487402164563:function:PRE-AdjustmentVideoObjectDetection
    • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-AdjustmentVideoObjectDetection
    • arn:aws:lambda:ca-central-1:918755190332:function:PRE-AdjustmentVideoObjectDetection

    Video Frame Object Tracking Adjustment - Use this task type when you want workers to adjust bounding boxes that workers have added to video frames to track object movement across a sequence of video frames.

    • arn:aws:lambda:us-east-1:432418664414:function:PRE-AdjustmentVideoObjectTracking
    • arn:aws:lambda:us-east-2:266458841044:function:PRE-AdjustmentVideoObjectTracking
    • arn:aws:lambda:us-west-2:081040173940:function:PRE-AdjustmentVideoObjectTracking
    • arn:aws:lambda:eu-west-1:568282634449:function:PRE-AdjustmentVideoObjectTracking
    • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-AdjustmentVideoObjectTracking
    • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-AdjustmentVideoObjectTracking
    • arn:aws:lambda:ap-south-1:565803892007:function:PRE-AdjustmentVideoObjectTracking
    • arn:aws:lambda:eu-central-1:203001061592:function:PRE-AdjustmentVideoObjectTracking
    • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-AdjustmentVideoObjectTracking
    • arn:aws:lambda:eu-west-2:487402164563:function:PRE-AdjustmentVideoObjectTracking
    • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-AdjustmentVideoObjectTracking
    • arn:aws:lambda:ca-central-1:918755190332:function:PRE-AdjustmentVideoObjectTracking

    3D point cloud object detection adjustment - Adjust 3D cuboids in a point cloud frame.

    • arn:aws:lambda:us-east-1:432418664414:function:PRE-Adjustment3DPointCloudObjectDetection
    • arn:aws:lambda:us-east-2:266458841044:function:PRE-Adjustment3DPointCloudObjectDetection
    • arn:aws:lambda:us-west-2:081040173940:function:PRE-Adjustment3DPointCloudObjectDetection
    • arn:aws:lambda:eu-west-1:568282634449:function:PRE-Adjustment3DPointCloudObjectDetection
    • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-Adjustment3DPointCloudObjectDetection
    • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-Adjustment3DPointCloudObjectDetection
    • arn:aws:lambda:ap-south-1:565803892007:function:PRE-Adjustment3DPointCloudObjectDetection
    • arn:aws:lambda:eu-central-1:203001061592:function:PRE-Adjustment3DPointCloudObjectDetection
    • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-Adjustment3DPointCloudObjectDetection
    • arn:aws:lambda:eu-west-2:487402164563:function:PRE-Adjustment3DPointCloudObjectDetection
    • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-Adjustment3DPointCloudObjectDetection
    • arn:aws:lambda:ca-central-1:918755190332:function:PRE-Adjustment3DPointCloudObjectDetection

    3D point cloud object tracking adjustment - Adjust 3D cuboids across a sequence of point cloud frames.

    • arn:aws:lambda:us-east-1:432418664414:function:PRE-Adjustment3DPointCloudObjectTracking
    • arn:aws:lambda:us-east-2:266458841044:function:PRE-Adjustment3DPointCloudObjectTracking
    • arn:aws:lambda:us-west-2:081040173940:function:PRE-Adjustment3DPointCloudObjectTracking
    • arn:aws:lambda:eu-west-1:568282634449:function:PRE-Adjustment3DPointCloudObjectTracking
    • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-Adjustment3DPointCloudObjectTracking
    • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-Adjustment3DPointCloudObjectTracking
    • arn:aws:lambda:ap-south-1:565803892007:function:PRE-Adjustment3DPointCloudObjectTracking
    • arn:aws:lambda:eu-central-1:203001061592:function:PRE-Adjustment3DPointCloudObjectTracking
    • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-Adjustment3DPointCloudObjectTracking
    • arn:aws:lambda:eu-west-2:487402164563:function:PRE-Adjustment3DPointCloudObjectTracking
    • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-Adjustment3DPointCloudObjectTracking
    • arn:aws:lambda:ca-central-1:918755190332:function:PRE-Adjustment3DPointCloudObjectTracking

    3D point cloud semantic segmentation adjustment - Adjust semantic segmentation masks in a 3D point cloud.

    • arn:aws:lambda:us-east-1:432418664414:function:PRE-Adjustment3DPointCloudSemanticSegmentation
    • arn:aws:lambda:us-east-2:266458841044:function:PRE-Adjustment3DPointCloudSemanticSegmentation
    • arn:aws:lambda:us-west-2:081040173940:function:PRE-Adjustment3DPointCloudSemanticSegmentation
    • arn:aws:lambda:eu-west-1:568282634449:function:PRE-Adjustment3DPointCloudSemanticSegmentation
    • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-Adjustment3DPointCloudSemanticSegmentation
    • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-Adjustment3DPointCloudSemanticSegmentation
    • arn:aws:lambda:ap-south-1:565803892007:function:PRE-Adjustment3DPointCloudSemanticSegmentation
    • arn:aws:lambda:eu-central-1:203001061592:function:PRE-Adjustment3DPointCloudSemanticSegmentation
    • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-Adjustment3DPointCloudSemanticSegmentation
    • arn:aws:lambda:eu-west-2:487402164563:function:PRE-Adjustment3DPointCloudSemanticSegmentation
    • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-Adjustment3DPointCloudSemanticSegmentation
    • arn:aws:lambda:ca-central-1:918755190332:function:PRE-Adjustment3DPointCloudSemanticSegmentation
  • taskTitle :: Text

    A title for the task for your human workers.

  • taskDescription :: Text

    A description of the task for your human workers.

  • numberOfHumanWorkersPerDataObject :: Natural

    The number of human workers that will label an object.

  • taskTimeLimitInSeconds :: Natural

    The amount of time that a worker has to complete a task.

    If you create a custom labeling job, the maximum value for this parameter is 8 hours (28,800 seconds).

    If you create a labeling job using a built-in task type the maximum for this parameter depends on the task type you use:

    • For image and text labeling jobs, the maximum is 8 hours (28,800 seconds).
    • For 3D point cloud and video frame labeling jobs, the maximum is 30 days (2952,000 seconds) for non-AL mode. For most users, the maximum is also 30 days.
  • annotationConsolidationConfig :: AnnotationConsolidationConfig

    Configures how labels are consolidated across human workers.

Instances

Instances details
FromJSON HumanTaskConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HumanTaskConfig

Methods

parseJSON :: Value -> Parser HumanTaskConfig #

parseJSONList :: Value -> Parser [HumanTaskConfig] #

ToJSON HumanTaskConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HumanTaskConfig

Methods

toJSON :: HumanTaskConfig -> Value #

toEncoding :: HumanTaskConfig -> Encoding #

toJSONList :: [HumanTaskConfig] -> Value #

toEncodingList :: [HumanTaskConfig] -> Encoding #

Generic HumanTaskConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HumanTaskConfig

Associated Types

type Rep HumanTaskConfig :: Type -> Type #

Methods

from :: HumanTaskConfig -> Rep HumanTaskConfig x #

to :: Rep HumanTaskConfig x -> HumanTaskConfig #

Read HumanTaskConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HumanTaskConfig

Methods

readsPrec :: Int -> ReadS HumanTaskConfig #

readList :: ReadS [HumanTaskConfig] #

readPrec :: ReadPrec HumanTaskConfig #

readListPrec :: ReadPrec [HumanTaskConfig] #

Show HumanTaskConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HumanTaskConfig

Methods

showsPrec :: Int -> HumanTaskConfig -> ShowS #

show :: HumanTaskConfig -> String #

showList :: [HumanTaskConfig] -> ShowS #

NFData HumanTaskConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HumanTaskConfig

Methods

rnf :: HumanTaskConfig -> () #

Eq HumanTaskConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HumanTaskConfig

Methods

(==) :: HumanTaskConfig -> HumanTaskConfig -> Bool #

(/=) :: HumanTaskConfig -> HumanTaskConfig -> Bool #

Hashable HumanTaskConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HumanTaskConfig

Methods

hashWithSalt :: Int -> HumanTaskConfig -> Int #

hash :: HumanTaskConfig -> Int #

type Rep HumanTaskConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HumanTaskConfig

type Rep HumanTaskConfig = D1 ('MetaData "HumanTaskConfig" "Amazonka.SageMaker.Types.HumanTaskConfig" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "HumanTaskConfig'" 'PrefixI 'True) (((S1 ('MetaSel ('Just "maxConcurrentTaskCount") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural)) :*: (S1 ('MetaSel ('Just "publicWorkforceTaskPrice") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe PublicWorkforceTaskPrice)) :*: S1 ('MetaSel ('Just "taskAvailabilityLifetimeInSeconds") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural)))) :*: (S1 ('MetaSel ('Just "taskKeywords") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe (NonEmpty Text))) :*: (S1 ('MetaSel ('Just "workteamArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: S1 ('MetaSel ('Just "uiConfig") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 UiConfig)))) :*: ((S1 ('MetaSel ('Just "preHumanTaskLambdaArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: (S1 ('MetaSel ('Just "taskTitle") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: S1 ('MetaSel ('Just "taskDescription") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text))) :*: (S1 ('MetaSel ('Just "numberOfHumanWorkersPerDataObject") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Natural) :*: (S1 ('MetaSel ('Just "taskTimeLimitInSeconds") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Natural) :*: S1 ('MetaSel ('Just "annotationConsolidationConfig") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 AnnotationConsolidationConfig))))))

newHumanTaskConfig Source #

Arguments

:: Text

$sel:workteamArn:HumanTaskConfig'

-> UiConfig

$sel:uiConfig:HumanTaskConfig'

-> Text

$sel:preHumanTaskLambdaArn:HumanTaskConfig'

-> Text

$sel:taskTitle:HumanTaskConfig'

-> Text

$sel:taskDescription:HumanTaskConfig'

-> Natural

$sel:numberOfHumanWorkersPerDataObject:HumanTaskConfig'

-> Natural

$sel:taskTimeLimitInSeconds:HumanTaskConfig'

-> AnnotationConsolidationConfig

$sel:annotationConsolidationConfig:HumanTaskConfig'

-> HumanTaskConfig 

Create a value of HumanTaskConfig with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:maxConcurrentTaskCount:HumanTaskConfig', humanTaskConfig_maxConcurrentTaskCount - Defines the maximum number of data objects that can be labeled by human workers at the same time. Also referred to as batch size. Each object may have more than one worker at one time. The default value is 1000 objects. To increase the maximum value to 5000 objects, contact Amazon Web Services Support.

$sel:publicWorkforceTaskPrice:HumanTaskConfig', humanTaskConfig_publicWorkforceTaskPrice - The price that you pay for each task performed by an Amazon Mechanical Turk worker.

$sel:taskAvailabilityLifetimeInSeconds:HumanTaskConfig', humanTaskConfig_taskAvailabilityLifetimeInSeconds - The length of time that a task remains available for labeling by human workers. The default and maximum values for this parameter depend on the type of workforce you use.

  • If you choose the Amazon Mechanical Turk workforce, the maximum is 12 hours (43,200 seconds). The default is 6 hours (21,600 seconds).
  • If you choose a private or vendor workforce, the default value is 30 days (2592,000 seconds) for non-AL mode. For most users, the maximum is also 30 days.

$sel:taskKeywords:HumanTaskConfig', humanTaskConfig_taskKeywords - Keywords used to describe the task so that workers on Amazon Mechanical Turk can discover the task.

$sel:workteamArn:HumanTaskConfig', humanTaskConfig_workteamArn - The Amazon Resource Name (ARN) of the work team assigned to complete the tasks.

$sel:uiConfig:HumanTaskConfig', humanTaskConfig_uiConfig - Information about the user interface that workers use to complete the labeling task.

$sel:preHumanTaskLambdaArn:HumanTaskConfig', humanTaskConfig_preHumanTaskLambdaArn - The Amazon Resource Name (ARN) of a Lambda function that is run before a data object is sent to a human worker. Use this function to provide input to a custom labeling job.

For built-in task types, use one of the following Amazon SageMaker Ground Truth Lambda function ARNs for PreHumanTaskLambdaArn. For custom labeling workflows, see Pre-annotation Lambda.

Bounding box - Finds the most similar boxes from different workers based on the Jaccard index of the boxes.

  • arn:aws:lambda:us-east-1:432418664414:function:PRE-BoundingBox
  • arn:aws:lambda:us-east-2:266458841044:function:PRE-BoundingBox
  • arn:aws:lambda:us-west-2:081040173940:function:PRE-BoundingBox
  • arn:aws:lambda:ca-central-1:918755190332:function:PRE-BoundingBox
  • arn:aws:lambda:eu-west-1:568282634449:function:PRE-BoundingBox
  • arn:aws:lambda:eu-west-2:487402164563:function:PRE-BoundingBox
  • arn:aws:lambda:eu-central-1:203001061592:function:PRE-BoundingBox
  • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-BoundingBox
  • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-BoundingBox
  • arn:aws:lambda:ap-south-1:565803892007:function:PRE-BoundingBox
  • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-BoundingBox
  • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-BoundingBox

Image classification - Uses a variant of the Expectation Maximization approach to estimate the true class of an image based on annotations from individual workers.

  • arn:aws:lambda:us-east-1:432418664414:function:PRE-ImageMultiClass
  • arn:aws:lambda:us-east-2:266458841044:function:PRE-ImageMultiClass
  • arn:aws:lambda:us-west-2:081040173940:function:PRE-ImageMultiClass
  • arn:aws:lambda:ca-central-1:918755190332:function:PRE-ImageMultiClass
  • arn:aws:lambda:eu-west-1:568282634449:function:PRE-ImageMultiClass
  • arn:aws:lambda:eu-west-2:487402164563:function:PRE-ImageMultiClass
  • arn:aws:lambda:eu-central-1:203001061592:function:PRE-ImageMultiClass
  • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-ImageMultiClass
  • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-ImageMultiClass
  • arn:aws:lambda:ap-south-1:565803892007:function:PRE-ImageMultiClass
  • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-ImageMultiClass
  • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-ImageMultiClass

Multi-label image classification - Uses a variant of the Expectation Maximization approach to estimate the true classes of an image based on annotations from individual workers.

  • arn:aws:lambda:us-east-1:432418664414:function:PRE-ImageMultiClassMultiLabel
  • arn:aws:lambda:us-east-2:266458841044:function:PRE-ImageMultiClassMultiLabel
  • arn:aws:lambda:us-west-2:081040173940:function:PRE-ImageMultiClassMultiLabel
  • arn:aws:lambda:ca-central-1:918755190332:function:PRE-ImageMultiClassMultiLabel
  • arn:aws:lambda:eu-west-1:568282634449:function:PRE-ImageMultiClassMultiLabel
  • arn:aws:lambda:eu-west-2:487402164563:function:PRE-ImageMultiClassMultiLabel
  • arn:aws:lambda:eu-central-1:203001061592:function:PRE-ImageMultiClassMultiLabel
  • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-ImageMultiClassMultiLabel
  • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-ImageMultiClassMultiLabel
  • arn:aws:lambda:ap-south-1:565803892007:function:PRE-ImageMultiClassMultiLabel
  • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-ImageMultiClassMultiLabel
  • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-ImageMultiClassMultiLabel

Semantic segmentation - Treats each pixel in an image as a multi-class classification and treats pixel annotations from workers as "votes" for the correct label.

  • arn:aws:lambda:us-east-1:432418664414:function:PRE-SemanticSegmentation
  • arn:aws:lambda:us-east-2:266458841044:function:PRE-SemanticSegmentation
  • arn:aws:lambda:us-west-2:081040173940:function:PRE-SemanticSegmentation
  • arn:aws:lambda:ca-central-1:918755190332:function:PRE-SemanticSegmentation
  • arn:aws:lambda:eu-west-1:568282634449:function:PRE-SemanticSegmentation
  • arn:aws:lambda:eu-west-2:487402164563:function:PRE-SemanticSegmentation
  • arn:aws:lambda:eu-central-1:203001061592:function:PRE-SemanticSegmentation
  • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-SemanticSegmentation
  • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-SemanticSegmentation
  • arn:aws:lambda:ap-south-1:565803892007:function:PRE-SemanticSegmentation
  • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-SemanticSegmentation
  • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-SemanticSegmentation

Text classification - Uses a variant of the Expectation Maximization approach to estimate the true class of text based on annotations from individual workers.

  • arn:aws:lambda:us-east-1:432418664414:function:PRE-TextMultiClass
  • arn:aws:lambda:us-east-2:266458841044:function:PRE-TextMultiClass
  • arn:aws:lambda:us-west-2:081040173940:function:PRE-TextMultiClass
  • arn:aws:lambda:ca-central-1:918755190332:function:PRE-TextMultiClass
  • arn:aws:lambda:eu-west-1:568282634449:function:PRE-TextMultiClass
  • arn:aws:lambda:eu-west-2:487402164563:function:PRE-TextMultiClass
  • arn:aws:lambda:eu-central-1:203001061592:function:PRE-TextMultiClass
  • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-TextMultiClass
  • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-TextMultiClass
  • arn:aws:lambda:ap-south-1:565803892007:function:PRE-TextMultiClass
  • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-TextMultiClass
  • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-TextMultiClass

Multi-label text classification - Uses a variant of the Expectation Maximization approach to estimate the true classes of text based on annotations from individual workers.

  • arn:aws:lambda:us-east-1:432418664414:function:PRE-TextMultiClassMultiLabel
  • arn:aws:lambda:us-east-2:266458841044:function:PRE-TextMultiClassMultiLabel
  • arn:aws:lambda:us-west-2:081040173940:function:PRE-TextMultiClassMultiLabel
  • arn:aws:lambda:ca-central-1:918755190332:function:PRE-TextMultiClassMultiLabel
  • arn:aws:lambda:eu-west-1:568282634449:function:PRE-TextMultiClassMultiLabel
  • arn:aws:lambda:eu-west-2:487402164563:function:PRE-TextMultiClassMultiLabel
  • arn:aws:lambda:eu-central-1:203001061592:function:PRE-TextMultiClassMultiLabel
  • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-TextMultiClassMultiLabel
  • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-TextMultiClassMultiLabel
  • arn:aws:lambda:ap-south-1:565803892007:function:PRE-TextMultiClassMultiLabel
  • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-TextMultiClassMultiLabel
  • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-TextMultiClassMultiLabel

Named entity recognition - Groups similar selections and calculates aggregate boundaries, resolving to most-assigned label.

  • arn:aws:lambda:us-east-1:432418664414:function:PRE-NamedEntityRecognition
  • arn:aws:lambda:us-east-2:266458841044:function:PRE-NamedEntityRecognition
  • arn:aws:lambda:us-west-2:081040173940:function:PRE-NamedEntityRecognition
  • arn:aws:lambda:ca-central-1:918755190332:function:PRE-NamedEntityRecognition
  • arn:aws:lambda:eu-west-1:568282634449:function:PRE-NamedEntityRecognition
  • arn:aws:lambda:eu-west-2:487402164563:function:PRE-NamedEntityRecognition
  • arn:aws:lambda:eu-central-1:203001061592:function:PRE-NamedEntityRecognition
  • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-NamedEntityRecognition
  • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-NamedEntityRecognition
  • arn:aws:lambda:ap-south-1:565803892007:function:PRE-NamedEntityRecognition
  • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-NamedEntityRecognition
  • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-NamedEntityRecognition

Video Classification - Use this task type when you need workers to classify videos using predefined labels that you specify. Workers are shown videos and are asked to choose one label for each video.

  • arn:aws:lambda:us-east-1:432418664414:function:PRE-VideoMultiClass
  • arn:aws:lambda:us-east-2:266458841044:function:PRE-VideoMultiClass
  • arn:aws:lambda:us-west-2:081040173940:function:PRE-VideoMultiClass
  • arn:aws:lambda:eu-west-1:568282634449:function:PRE-VideoMultiClass
  • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-VideoMultiClass
  • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-VideoMultiClass
  • arn:aws:lambda:ap-south-1:565803892007:function:PRE-VideoMultiClass
  • arn:aws:lambda:eu-central-1:203001061592:function:PRE-VideoMultiClass
  • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-VideoMultiClass
  • arn:aws:lambda:eu-west-2:487402164563:function:PRE-VideoMultiClass
  • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-VideoMultiClass
  • arn:aws:lambda:ca-central-1:918755190332:function:PRE-VideoMultiClass

Video Frame Object Detection - Use this task type to have workers identify and locate objects in a sequence of video frames (images extracted from a video) using bounding boxes. For example, you can use this task to ask workers to identify and localize various objects in a series of video frames, such as cars, bikes, and pedestrians.

  • arn:aws:lambda:us-east-1:432418664414:function:PRE-VideoObjectDetection
  • arn:aws:lambda:us-east-2:266458841044:function:PRE-VideoObjectDetection
  • arn:aws:lambda:us-west-2:081040173940:function:PRE-VideoObjectDetection
  • arn:aws:lambda:eu-west-1:568282634449:function:PRE-VideoObjectDetection
  • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-VideoObjectDetection
  • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-VideoObjectDetection
  • arn:aws:lambda:ap-south-1:565803892007:function:PRE-VideoObjectDetection
  • arn:aws:lambda:eu-central-1:203001061592:function:PRE-VideoObjectDetection
  • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-VideoObjectDetection
  • arn:aws:lambda:eu-west-2:487402164563:function:PRE-VideoObjectDetection
  • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-VideoObjectDetection
  • arn:aws:lambda:ca-central-1:918755190332:function:PRE-VideoObjectDetection

Video Frame Object Tracking - Use this task type to have workers track the movement of objects in a sequence of video frames (images extracted from a video) using bounding boxes. For example, you can use this task to ask workers to track the movement of objects, such as cars, bikes, and pedestrians.

  • arn:aws:lambda:us-east-1:432418664414:function:PRE-VideoObjectTracking
  • arn:aws:lambda:us-east-2:266458841044:function:PRE-VideoObjectTracking
  • arn:aws:lambda:us-west-2:081040173940:function:PRE-VideoObjectTracking
  • arn:aws:lambda:eu-west-1:568282634449:function:PRE-VideoObjectTracking
  • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-VideoObjectTracking
  • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-VideoObjectTracking
  • arn:aws:lambda:ap-south-1:565803892007:function:PRE-VideoObjectTracking
  • arn:aws:lambda:eu-central-1:203001061592:function:PRE-VideoObjectTracking
  • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-VideoObjectTracking
  • arn:aws:lambda:eu-west-2:487402164563:function:PRE-VideoObjectTracking
  • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-VideoObjectTracking
  • arn:aws:lambda:ca-central-1:918755190332:function:PRE-VideoObjectTracking

3D Point Cloud Modalities

Use the following pre-annotation lambdas for 3D point cloud labeling modality tasks. See 3D Point Cloud Task types to learn more.

3D Point Cloud Object Detection - Use this task type when you want workers to classify objects in a 3D point cloud by drawing 3D cuboids around objects. For example, you can use this task type to ask workers to identify different types of objects in a point cloud, such as cars, bikes, and pedestrians.

  • arn:aws:lambda:us-east-1:432418664414:function:PRE-3DPointCloudObjectDetection
  • arn:aws:lambda:us-east-2:266458841044:function:PRE-3DPointCloudObjectDetection
  • arn:aws:lambda:us-west-2:081040173940:function:PRE-3DPointCloudObjectDetection
  • arn:aws:lambda:eu-west-1:568282634449:function:PRE-3DPointCloudObjectDetection
  • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-3DPointCloudObjectDetection
  • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-3DPointCloudObjectDetection
  • arn:aws:lambda:ap-south-1:565803892007:function:PRE-3DPointCloudObjectDetection
  • arn:aws:lambda:eu-central-1:203001061592:function:PRE-3DPointCloudObjectDetection
  • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-3DPointCloudObjectDetection
  • arn:aws:lambda:eu-west-2:487402164563:function:PRE-3DPointCloudObjectDetection
  • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-3DPointCloudObjectDetection
  • arn:aws:lambda:ca-central-1:918755190332:function:PRE-3DPointCloudObjectDetection

3D Point Cloud Object Tracking - Use this task type when you want workers to draw 3D cuboids around objects that appear in a sequence of 3D point cloud frames. For example, you can use this task type to ask workers to track the movement of vehicles across multiple point cloud frames.

  • arn:aws:lambda:us-east-1:432418664414:function:PRE-3DPointCloudObjectTracking
  • arn:aws:lambda:us-east-2:266458841044:function:PRE-3DPointCloudObjectTracking
  • arn:aws:lambda:us-west-2:081040173940:function:PRE-3DPointCloudObjectTracking
  • arn:aws:lambda:eu-west-1:568282634449:function:PRE-3DPointCloudObjectTracking
  • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-3DPointCloudObjectTracking
  • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-3DPointCloudObjectTracking
  • arn:aws:lambda:ap-south-1:565803892007:function:PRE-3DPointCloudObjectTracking
  • arn:aws:lambda:eu-central-1:203001061592:function:PRE-3DPointCloudObjectTracking
  • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-3DPointCloudObjectTracking
  • arn:aws:lambda:eu-west-2:487402164563:function:PRE-3DPointCloudObjectTracking
  • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-3DPointCloudObjectTracking
  • arn:aws:lambda:ca-central-1:918755190332:function:PRE-3DPointCloudObjectTracking

3D Point Cloud Semantic Segmentation - Use this task type when you want workers to create a point-level semantic segmentation masks by painting objects in a 3D point cloud using different colors where each color is assigned to one of the classes you specify.

  • arn:aws:lambda:us-east-1:432418664414:function:PRE-3DPointCloudSemanticSegmentation
  • arn:aws:lambda:us-east-2:266458841044:function:PRE-3DPointCloudSemanticSegmentation
  • arn:aws:lambda:us-west-2:081040173940:function:PRE-3DPointCloudSemanticSegmentation
  • arn:aws:lambda:eu-west-1:568282634449:function:PRE-3DPointCloudSemanticSegmentation
  • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-3DPointCloudSemanticSegmentation
  • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-3DPointCloudSemanticSegmentation
  • arn:aws:lambda:ap-south-1:565803892007:function:PRE-3DPointCloudSemanticSegmentation
  • arn:aws:lambda:eu-central-1:203001061592:function:PRE-3DPointCloudSemanticSegmentation
  • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-3DPointCloudSemanticSegmentation
  • arn:aws:lambda:eu-west-2:487402164563:function:PRE-3DPointCloudSemanticSegmentation
  • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-3DPointCloudSemanticSegmentation
  • arn:aws:lambda:ca-central-1:918755190332:function:PRE-3DPointCloudSemanticSegmentation

Use the following ARNs for Label Verification and Adjustment Jobs

Use label verification and adjustment jobs to review and adjust labels. To learn more, see Verify and Adjust Labels .

Bounding box verification - Uses a variant of the Expectation Maximization approach to estimate the true class of verification judgement for bounding box labels based on annotations from individual workers.

  • arn:aws:lambda:us-east-1:432418664414:function:PRE-VerificationBoundingBox
  • arn:aws:lambda:us-east-2:266458841044:function:PRE-VerificationBoundingBox
  • arn:aws:lambda:us-west-2:081040173940:function:PRE-VerificationBoundingBox
  • arn:aws:lambda:eu-west-1:568282634449:function:PRE-VerificationBoundingBox
  • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-VerificationBoundingBox
  • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-VerificationBoundingBox
  • arn:aws:lambda:ap-south-1:565803892007:function:PRE-VerificationBoundingBox
  • arn:aws:lambda:eu-central-1:203001061592:function:PRE-VerificationBoundingBox
  • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-VerificationBoundingBox
  • arn:aws:lambda:eu-west-2:487402164563:function:PRE-VerificationBoundingBox
  • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-VerificationBoundingBox
  • arn:aws:lambda:ca-central-1:918755190332:function:PRE-VerificationBoundingBox

Bounding box adjustment - Finds the most similar boxes from different workers based on the Jaccard index of the adjusted annotations.

  • arn:aws:lambda:us-east-1:432418664414:function:PRE-AdjustmentBoundingBox
  • arn:aws:lambda:us-east-2:266458841044:function:PRE-AdjustmentBoundingBox
  • arn:aws:lambda:us-west-2:081040173940:function:PRE-AdjustmentBoundingBox
  • arn:aws:lambda:ca-central-1:918755190332:function:PRE-AdjustmentBoundingBox
  • arn:aws:lambda:eu-west-1:568282634449:function:PRE-AdjustmentBoundingBox
  • arn:aws:lambda:eu-west-2:487402164563:function:PRE-AdjustmentBoundingBox
  • arn:aws:lambda:eu-central-1:203001061592:function:PRE-AdjustmentBoundingBox
  • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-AdjustmentBoundingBox
  • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-AdjustmentBoundingBox
  • arn:aws:lambda:ap-south-1:565803892007:function:PRE-AdjustmentBoundingBox
  • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-AdjustmentBoundingBox
  • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-AdjustmentBoundingBox

Semantic segmentation verification - Uses a variant of the Expectation Maximization approach to estimate the true class of verification judgment for semantic segmentation labels based on annotations from individual workers.

  • arn:aws:lambda:us-east-1:432418664414:function:PRE-VerificationSemanticSegmentation
  • arn:aws:lambda:us-east-2:266458841044:function:PRE-VerificationSemanticSegmentation
  • arn:aws:lambda:us-west-2:081040173940:function:PRE-VerificationSemanticSegmentation
  • arn:aws:lambda:ca-central-1:918755190332:function:PRE-VerificationSemanticSegmentation
  • arn:aws:lambda:eu-west-1:568282634449:function:PRE-VerificationSemanticSegmentation
  • arn:aws:lambda:eu-west-2:487402164563:function:PRE-VerificationSemanticSegmentation
  • arn:aws:lambda:eu-central-1:203001061592:function:PRE-VerificationSemanticSegmentation
  • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-VerificationSemanticSegmentation
  • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-VerificationSemanticSegmentation
  • arn:aws:lambda:ap-south-1:565803892007:function:PRE-VerificationSemanticSegmentation
  • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-VerificationSemanticSegmentation
  • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-VerificationSemanticSegmentation

Semantic segmentation adjustment - Treats each pixel in an image as a multi-class classification and treats pixel adjusted annotations from workers as "votes" for the correct label.

  • arn:aws:lambda:us-east-1:432418664414:function:PRE-AdjustmentSemanticSegmentation
  • arn:aws:lambda:us-east-2:266458841044:function:PRE-AdjustmentSemanticSegmentation
  • arn:aws:lambda:us-west-2:081040173940:function:PRE-AdjustmentSemanticSegmentation
  • arn:aws:lambda:ca-central-1:918755190332:function:PRE-AdjustmentSemanticSegmentation
  • arn:aws:lambda:eu-west-1:568282634449:function:PRE-AdjustmentSemanticSegmentation
  • arn:aws:lambda:eu-west-2:487402164563:function:PRE-AdjustmentSemanticSegmentation
  • arn:aws:lambda:eu-central-1:203001061592:function:PRE-AdjustmentSemanticSegmentation
  • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-AdjustmentSemanticSegmentation
  • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-AdjustmentSemanticSegmentation
  • arn:aws:lambda:ap-south-1:565803892007:function:PRE-AdjustmentSemanticSegmentation
  • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-AdjustmentSemanticSegmentation
  • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-AdjustmentSemanticSegmentation

Video Frame Object Detection Adjustment - Use this task type when you want workers to adjust bounding boxes that workers have added to video frames to classify and localize objects in a sequence of video frames.

  • arn:aws:lambda:us-east-1:432418664414:function:PRE-AdjustmentVideoObjectDetection
  • arn:aws:lambda:us-east-2:266458841044:function:PRE-AdjustmentVideoObjectDetection
  • arn:aws:lambda:us-west-2:081040173940:function:PRE-AdjustmentVideoObjectDetection
  • arn:aws:lambda:eu-west-1:568282634449:function:PRE-AdjustmentVideoObjectDetection
  • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-AdjustmentVideoObjectDetection
  • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-AdjustmentVideoObjectDetection
  • arn:aws:lambda:ap-south-1:565803892007:function:PRE-AdjustmentVideoObjectDetection
  • arn:aws:lambda:eu-central-1:203001061592:function:PRE-AdjustmentVideoObjectDetection
  • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-AdjustmentVideoObjectDetection
  • arn:aws:lambda:eu-west-2:487402164563:function:PRE-AdjustmentVideoObjectDetection
  • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-AdjustmentVideoObjectDetection
  • arn:aws:lambda:ca-central-1:918755190332:function:PRE-AdjustmentVideoObjectDetection

Video Frame Object Tracking Adjustment - Use this task type when you want workers to adjust bounding boxes that workers have added to video frames to track object movement across a sequence of video frames.

  • arn:aws:lambda:us-east-1:432418664414:function:PRE-AdjustmentVideoObjectTracking
  • arn:aws:lambda:us-east-2:266458841044:function:PRE-AdjustmentVideoObjectTracking
  • arn:aws:lambda:us-west-2:081040173940:function:PRE-AdjustmentVideoObjectTracking
  • arn:aws:lambda:eu-west-1:568282634449:function:PRE-AdjustmentVideoObjectTracking
  • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-AdjustmentVideoObjectTracking
  • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-AdjustmentVideoObjectTracking
  • arn:aws:lambda:ap-south-1:565803892007:function:PRE-AdjustmentVideoObjectTracking
  • arn:aws:lambda:eu-central-1:203001061592:function:PRE-AdjustmentVideoObjectTracking
  • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-AdjustmentVideoObjectTracking
  • arn:aws:lambda:eu-west-2:487402164563:function:PRE-AdjustmentVideoObjectTracking
  • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-AdjustmentVideoObjectTracking
  • arn:aws:lambda:ca-central-1:918755190332:function:PRE-AdjustmentVideoObjectTracking

3D point cloud object detection adjustment - Adjust 3D cuboids in a point cloud frame.

  • arn:aws:lambda:us-east-1:432418664414:function:PRE-Adjustment3DPointCloudObjectDetection
  • arn:aws:lambda:us-east-2:266458841044:function:PRE-Adjustment3DPointCloudObjectDetection
  • arn:aws:lambda:us-west-2:081040173940:function:PRE-Adjustment3DPointCloudObjectDetection
  • arn:aws:lambda:eu-west-1:568282634449:function:PRE-Adjustment3DPointCloudObjectDetection
  • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-Adjustment3DPointCloudObjectDetection
  • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-Adjustment3DPointCloudObjectDetection
  • arn:aws:lambda:ap-south-1:565803892007:function:PRE-Adjustment3DPointCloudObjectDetection
  • arn:aws:lambda:eu-central-1:203001061592:function:PRE-Adjustment3DPointCloudObjectDetection
  • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-Adjustment3DPointCloudObjectDetection
  • arn:aws:lambda:eu-west-2:487402164563:function:PRE-Adjustment3DPointCloudObjectDetection
  • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-Adjustment3DPointCloudObjectDetection
  • arn:aws:lambda:ca-central-1:918755190332:function:PRE-Adjustment3DPointCloudObjectDetection

3D point cloud object tracking adjustment - Adjust 3D cuboids across a sequence of point cloud frames.

  • arn:aws:lambda:us-east-1:432418664414:function:PRE-Adjustment3DPointCloudObjectTracking
  • arn:aws:lambda:us-east-2:266458841044:function:PRE-Adjustment3DPointCloudObjectTracking
  • arn:aws:lambda:us-west-2:081040173940:function:PRE-Adjustment3DPointCloudObjectTracking
  • arn:aws:lambda:eu-west-1:568282634449:function:PRE-Adjustment3DPointCloudObjectTracking
  • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-Adjustment3DPointCloudObjectTracking
  • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-Adjustment3DPointCloudObjectTracking
  • arn:aws:lambda:ap-south-1:565803892007:function:PRE-Adjustment3DPointCloudObjectTracking
  • arn:aws:lambda:eu-central-1:203001061592:function:PRE-Adjustment3DPointCloudObjectTracking
  • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-Adjustment3DPointCloudObjectTracking
  • arn:aws:lambda:eu-west-2:487402164563:function:PRE-Adjustment3DPointCloudObjectTracking
  • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-Adjustment3DPointCloudObjectTracking
  • arn:aws:lambda:ca-central-1:918755190332:function:PRE-Adjustment3DPointCloudObjectTracking

3D point cloud semantic segmentation adjustment - Adjust semantic segmentation masks in a 3D point cloud.

  • arn:aws:lambda:us-east-1:432418664414:function:PRE-Adjustment3DPointCloudSemanticSegmentation
  • arn:aws:lambda:us-east-2:266458841044:function:PRE-Adjustment3DPointCloudSemanticSegmentation
  • arn:aws:lambda:us-west-2:081040173940:function:PRE-Adjustment3DPointCloudSemanticSegmentation
  • arn:aws:lambda:eu-west-1:568282634449:function:PRE-Adjustment3DPointCloudSemanticSegmentation
  • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-Adjustment3DPointCloudSemanticSegmentation
  • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-Adjustment3DPointCloudSemanticSegmentation
  • arn:aws:lambda:ap-south-1:565803892007:function:PRE-Adjustment3DPointCloudSemanticSegmentation
  • arn:aws:lambda:eu-central-1:203001061592:function:PRE-Adjustment3DPointCloudSemanticSegmentation
  • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-Adjustment3DPointCloudSemanticSegmentation
  • arn:aws:lambda:eu-west-2:487402164563:function:PRE-Adjustment3DPointCloudSemanticSegmentation
  • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-Adjustment3DPointCloudSemanticSegmentation
  • arn:aws:lambda:ca-central-1:918755190332:function:PRE-Adjustment3DPointCloudSemanticSegmentation

$sel:taskTitle:HumanTaskConfig', humanTaskConfig_taskTitle - A title for the task for your human workers.

$sel:taskDescription:HumanTaskConfig', humanTaskConfig_taskDescription - A description of the task for your human workers.

$sel:numberOfHumanWorkersPerDataObject:HumanTaskConfig', humanTaskConfig_numberOfHumanWorkersPerDataObject - The number of human workers that will label an object.

$sel:taskTimeLimitInSeconds:HumanTaskConfig', humanTaskConfig_taskTimeLimitInSeconds - The amount of time that a worker has to complete a task.

If you create a custom labeling job, the maximum value for this parameter is 8 hours (28,800 seconds).

If you create a labeling job using a built-in task type the maximum for this parameter depends on the task type you use:

  • For image and text labeling jobs, the maximum is 8 hours (28,800 seconds).
  • For 3D point cloud and video frame labeling jobs, the maximum is 30 days (2952,000 seconds) for non-AL mode. For most users, the maximum is also 30 days.

$sel:annotationConsolidationConfig:HumanTaskConfig', humanTaskConfig_annotationConsolidationConfig - Configures how labels are consolidated across human workers.

humanTaskConfig_maxConcurrentTaskCount :: Lens' HumanTaskConfig (Maybe Natural) Source #

Defines the maximum number of data objects that can be labeled by human workers at the same time. Also referred to as batch size. Each object may have more than one worker at one time. The default value is 1000 objects. To increase the maximum value to 5000 objects, contact Amazon Web Services Support.

humanTaskConfig_publicWorkforceTaskPrice :: Lens' HumanTaskConfig (Maybe PublicWorkforceTaskPrice) Source #

The price that you pay for each task performed by an Amazon Mechanical Turk worker.

humanTaskConfig_taskAvailabilityLifetimeInSeconds :: Lens' HumanTaskConfig (Maybe Natural) Source #

The length of time that a task remains available for labeling by human workers. The default and maximum values for this parameter depend on the type of workforce you use.

  • If you choose the Amazon Mechanical Turk workforce, the maximum is 12 hours (43,200 seconds). The default is 6 hours (21,600 seconds).
  • If you choose a private or vendor workforce, the default value is 30 days (2592,000 seconds) for non-AL mode. For most users, the maximum is also 30 days.

humanTaskConfig_taskKeywords :: Lens' HumanTaskConfig (Maybe (NonEmpty Text)) Source #

Keywords used to describe the task so that workers on Amazon Mechanical Turk can discover the task.

humanTaskConfig_workteamArn :: Lens' HumanTaskConfig Text Source #

The Amazon Resource Name (ARN) of the work team assigned to complete the tasks.

humanTaskConfig_uiConfig :: Lens' HumanTaskConfig UiConfig Source #

Information about the user interface that workers use to complete the labeling task.

humanTaskConfig_preHumanTaskLambdaArn :: Lens' HumanTaskConfig Text Source #

The Amazon Resource Name (ARN) of a Lambda function that is run before a data object is sent to a human worker. Use this function to provide input to a custom labeling job.

For built-in task types, use one of the following Amazon SageMaker Ground Truth Lambda function ARNs for PreHumanTaskLambdaArn. For custom labeling workflows, see Pre-annotation Lambda.

Bounding box - Finds the most similar boxes from different workers based on the Jaccard index of the boxes.

  • arn:aws:lambda:us-east-1:432418664414:function:PRE-BoundingBox
  • arn:aws:lambda:us-east-2:266458841044:function:PRE-BoundingBox
  • arn:aws:lambda:us-west-2:081040173940:function:PRE-BoundingBox
  • arn:aws:lambda:ca-central-1:918755190332:function:PRE-BoundingBox
  • arn:aws:lambda:eu-west-1:568282634449:function:PRE-BoundingBox
  • arn:aws:lambda:eu-west-2:487402164563:function:PRE-BoundingBox
  • arn:aws:lambda:eu-central-1:203001061592:function:PRE-BoundingBox
  • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-BoundingBox
  • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-BoundingBox
  • arn:aws:lambda:ap-south-1:565803892007:function:PRE-BoundingBox
  • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-BoundingBox
  • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-BoundingBox

Image classification - Uses a variant of the Expectation Maximization approach to estimate the true class of an image based on annotations from individual workers.

  • arn:aws:lambda:us-east-1:432418664414:function:PRE-ImageMultiClass
  • arn:aws:lambda:us-east-2:266458841044:function:PRE-ImageMultiClass
  • arn:aws:lambda:us-west-2:081040173940:function:PRE-ImageMultiClass
  • arn:aws:lambda:ca-central-1:918755190332:function:PRE-ImageMultiClass
  • arn:aws:lambda:eu-west-1:568282634449:function:PRE-ImageMultiClass
  • arn:aws:lambda:eu-west-2:487402164563:function:PRE-ImageMultiClass
  • arn:aws:lambda:eu-central-1:203001061592:function:PRE-ImageMultiClass
  • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-ImageMultiClass
  • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-ImageMultiClass
  • arn:aws:lambda:ap-south-1:565803892007:function:PRE-ImageMultiClass
  • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-ImageMultiClass
  • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-ImageMultiClass

Multi-label image classification - Uses a variant of the Expectation Maximization approach to estimate the true classes of an image based on annotations from individual workers.

  • arn:aws:lambda:us-east-1:432418664414:function:PRE-ImageMultiClassMultiLabel
  • arn:aws:lambda:us-east-2:266458841044:function:PRE-ImageMultiClassMultiLabel
  • arn:aws:lambda:us-west-2:081040173940:function:PRE-ImageMultiClassMultiLabel
  • arn:aws:lambda:ca-central-1:918755190332:function:PRE-ImageMultiClassMultiLabel
  • arn:aws:lambda:eu-west-1:568282634449:function:PRE-ImageMultiClassMultiLabel
  • arn:aws:lambda:eu-west-2:487402164563:function:PRE-ImageMultiClassMultiLabel
  • arn:aws:lambda:eu-central-1:203001061592:function:PRE-ImageMultiClassMultiLabel
  • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-ImageMultiClassMultiLabel
  • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-ImageMultiClassMultiLabel
  • arn:aws:lambda:ap-south-1:565803892007:function:PRE-ImageMultiClassMultiLabel
  • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-ImageMultiClassMultiLabel
  • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-ImageMultiClassMultiLabel

Semantic segmentation - Treats each pixel in an image as a multi-class classification and treats pixel annotations from workers as "votes" for the correct label.

  • arn:aws:lambda:us-east-1:432418664414:function:PRE-SemanticSegmentation
  • arn:aws:lambda:us-east-2:266458841044:function:PRE-SemanticSegmentation
  • arn:aws:lambda:us-west-2:081040173940:function:PRE-SemanticSegmentation
  • arn:aws:lambda:ca-central-1:918755190332:function:PRE-SemanticSegmentation
  • arn:aws:lambda:eu-west-1:568282634449:function:PRE-SemanticSegmentation
  • arn:aws:lambda:eu-west-2:487402164563:function:PRE-SemanticSegmentation
  • arn:aws:lambda:eu-central-1:203001061592:function:PRE-SemanticSegmentation
  • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-SemanticSegmentation
  • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-SemanticSegmentation
  • arn:aws:lambda:ap-south-1:565803892007:function:PRE-SemanticSegmentation
  • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-SemanticSegmentation
  • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-SemanticSegmentation

Text classification - Uses a variant of the Expectation Maximization approach to estimate the true class of text based on annotations from individual workers.

  • arn:aws:lambda:us-east-1:432418664414:function:PRE-TextMultiClass
  • arn:aws:lambda:us-east-2:266458841044:function:PRE-TextMultiClass
  • arn:aws:lambda:us-west-2:081040173940:function:PRE-TextMultiClass
  • arn:aws:lambda:ca-central-1:918755190332:function:PRE-TextMultiClass
  • arn:aws:lambda:eu-west-1:568282634449:function:PRE-TextMultiClass
  • arn:aws:lambda:eu-west-2:487402164563:function:PRE-TextMultiClass
  • arn:aws:lambda:eu-central-1:203001061592:function:PRE-TextMultiClass
  • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-TextMultiClass
  • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-TextMultiClass
  • arn:aws:lambda:ap-south-1:565803892007:function:PRE-TextMultiClass
  • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-TextMultiClass
  • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-TextMultiClass

Multi-label text classification - Uses a variant of the Expectation Maximization approach to estimate the true classes of text based on annotations from individual workers.

  • arn:aws:lambda:us-east-1:432418664414:function:PRE-TextMultiClassMultiLabel
  • arn:aws:lambda:us-east-2:266458841044:function:PRE-TextMultiClassMultiLabel
  • arn:aws:lambda:us-west-2:081040173940:function:PRE-TextMultiClassMultiLabel
  • arn:aws:lambda:ca-central-1:918755190332:function:PRE-TextMultiClassMultiLabel
  • arn:aws:lambda:eu-west-1:568282634449:function:PRE-TextMultiClassMultiLabel
  • arn:aws:lambda:eu-west-2:487402164563:function:PRE-TextMultiClassMultiLabel
  • arn:aws:lambda:eu-central-1:203001061592:function:PRE-TextMultiClassMultiLabel
  • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-TextMultiClassMultiLabel
  • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-TextMultiClassMultiLabel
  • arn:aws:lambda:ap-south-1:565803892007:function:PRE-TextMultiClassMultiLabel
  • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-TextMultiClassMultiLabel
  • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-TextMultiClassMultiLabel

Named entity recognition - Groups similar selections and calculates aggregate boundaries, resolving to most-assigned label.

  • arn:aws:lambda:us-east-1:432418664414:function:PRE-NamedEntityRecognition
  • arn:aws:lambda:us-east-2:266458841044:function:PRE-NamedEntityRecognition
  • arn:aws:lambda:us-west-2:081040173940:function:PRE-NamedEntityRecognition
  • arn:aws:lambda:ca-central-1:918755190332:function:PRE-NamedEntityRecognition
  • arn:aws:lambda:eu-west-1:568282634449:function:PRE-NamedEntityRecognition
  • arn:aws:lambda:eu-west-2:487402164563:function:PRE-NamedEntityRecognition
  • arn:aws:lambda:eu-central-1:203001061592:function:PRE-NamedEntityRecognition
  • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-NamedEntityRecognition
  • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-NamedEntityRecognition
  • arn:aws:lambda:ap-south-1:565803892007:function:PRE-NamedEntityRecognition
  • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-NamedEntityRecognition
  • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-NamedEntityRecognition

Video Classification - Use this task type when you need workers to classify videos using predefined labels that you specify. Workers are shown videos and are asked to choose one label for each video.

  • arn:aws:lambda:us-east-1:432418664414:function:PRE-VideoMultiClass
  • arn:aws:lambda:us-east-2:266458841044:function:PRE-VideoMultiClass
  • arn:aws:lambda:us-west-2:081040173940:function:PRE-VideoMultiClass
  • arn:aws:lambda:eu-west-1:568282634449:function:PRE-VideoMultiClass
  • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-VideoMultiClass
  • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-VideoMultiClass
  • arn:aws:lambda:ap-south-1:565803892007:function:PRE-VideoMultiClass
  • arn:aws:lambda:eu-central-1:203001061592:function:PRE-VideoMultiClass
  • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-VideoMultiClass
  • arn:aws:lambda:eu-west-2:487402164563:function:PRE-VideoMultiClass
  • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-VideoMultiClass
  • arn:aws:lambda:ca-central-1:918755190332:function:PRE-VideoMultiClass

Video Frame Object Detection - Use this task type to have workers identify and locate objects in a sequence of video frames (images extracted from a video) using bounding boxes. For example, you can use this task to ask workers to identify and localize various objects in a series of video frames, such as cars, bikes, and pedestrians.

  • arn:aws:lambda:us-east-1:432418664414:function:PRE-VideoObjectDetection
  • arn:aws:lambda:us-east-2:266458841044:function:PRE-VideoObjectDetection
  • arn:aws:lambda:us-west-2:081040173940:function:PRE-VideoObjectDetection
  • arn:aws:lambda:eu-west-1:568282634449:function:PRE-VideoObjectDetection
  • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-VideoObjectDetection
  • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-VideoObjectDetection
  • arn:aws:lambda:ap-south-1:565803892007:function:PRE-VideoObjectDetection
  • arn:aws:lambda:eu-central-1:203001061592:function:PRE-VideoObjectDetection
  • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-VideoObjectDetection
  • arn:aws:lambda:eu-west-2:487402164563:function:PRE-VideoObjectDetection
  • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-VideoObjectDetection
  • arn:aws:lambda:ca-central-1:918755190332:function:PRE-VideoObjectDetection

Video Frame Object Tracking - Use this task type to have workers track the movement of objects in a sequence of video frames (images extracted from a video) using bounding boxes. For example, you can use this task to ask workers to track the movement of objects, such as cars, bikes, and pedestrians.

  • arn:aws:lambda:us-east-1:432418664414:function:PRE-VideoObjectTracking
  • arn:aws:lambda:us-east-2:266458841044:function:PRE-VideoObjectTracking
  • arn:aws:lambda:us-west-2:081040173940:function:PRE-VideoObjectTracking
  • arn:aws:lambda:eu-west-1:568282634449:function:PRE-VideoObjectTracking
  • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-VideoObjectTracking
  • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-VideoObjectTracking
  • arn:aws:lambda:ap-south-1:565803892007:function:PRE-VideoObjectTracking
  • arn:aws:lambda:eu-central-1:203001061592:function:PRE-VideoObjectTracking
  • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-VideoObjectTracking
  • arn:aws:lambda:eu-west-2:487402164563:function:PRE-VideoObjectTracking
  • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-VideoObjectTracking
  • arn:aws:lambda:ca-central-1:918755190332:function:PRE-VideoObjectTracking

3D Point Cloud Modalities

Use the following pre-annotation lambdas for 3D point cloud labeling modality tasks. See 3D Point Cloud Task types to learn more.

3D Point Cloud Object Detection - Use this task type when you want workers to classify objects in a 3D point cloud by drawing 3D cuboids around objects. For example, you can use this task type to ask workers to identify different types of objects in a point cloud, such as cars, bikes, and pedestrians.

  • arn:aws:lambda:us-east-1:432418664414:function:PRE-3DPointCloudObjectDetection
  • arn:aws:lambda:us-east-2:266458841044:function:PRE-3DPointCloudObjectDetection
  • arn:aws:lambda:us-west-2:081040173940:function:PRE-3DPointCloudObjectDetection
  • arn:aws:lambda:eu-west-1:568282634449:function:PRE-3DPointCloudObjectDetection
  • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-3DPointCloudObjectDetection
  • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-3DPointCloudObjectDetection
  • arn:aws:lambda:ap-south-1:565803892007:function:PRE-3DPointCloudObjectDetection
  • arn:aws:lambda:eu-central-1:203001061592:function:PRE-3DPointCloudObjectDetection
  • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-3DPointCloudObjectDetection
  • arn:aws:lambda:eu-west-2:487402164563:function:PRE-3DPointCloudObjectDetection
  • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-3DPointCloudObjectDetection
  • arn:aws:lambda:ca-central-1:918755190332:function:PRE-3DPointCloudObjectDetection

3D Point Cloud Object Tracking - Use this task type when you want workers to draw 3D cuboids around objects that appear in a sequence of 3D point cloud frames. For example, you can use this task type to ask workers to track the movement of vehicles across multiple point cloud frames.

  • arn:aws:lambda:us-east-1:432418664414:function:PRE-3DPointCloudObjectTracking
  • arn:aws:lambda:us-east-2:266458841044:function:PRE-3DPointCloudObjectTracking
  • arn:aws:lambda:us-west-2:081040173940:function:PRE-3DPointCloudObjectTracking
  • arn:aws:lambda:eu-west-1:568282634449:function:PRE-3DPointCloudObjectTracking
  • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-3DPointCloudObjectTracking
  • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-3DPointCloudObjectTracking
  • arn:aws:lambda:ap-south-1:565803892007:function:PRE-3DPointCloudObjectTracking
  • arn:aws:lambda:eu-central-1:203001061592:function:PRE-3DPointCloudObjectTracking
  • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-3DPointCloudObjectTracking
  • arn:aws:lambda:eu-west-2:487402164563:function:PRE-3DPointCloudObjectTracking
  • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-3DPointCloudObjectTracking
  • arn:aws:lambda:ca-central-1:918755190332:function:PRE-3DPointCloudObjectTracking

3D Point Cloud Semantic Segmentation - Use this task type when you want workers to create a point-level semantic segmentation masks by painting objects in a 3D point cloud using different colors where each color is assigned to one of the classes you specify.

  • arn:aws:lambda:us-east-1:432418664414:function:PRE-3DPointCloudSemanticSegmentation
  • arn:aws:lambda:us-east-2:266458841044:function:PRE-3DPointCloudSemanticSegmentation
  • arn:aws:lambda:us-west-2:081040173940:function:PRE-3DPointCloudSemanticSegmentation
  • arn:aws:lambda:eu-west-1:568282634449:function:PRE-3DPointCloudSemanticSegmentation
  • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-3DPointCloudSemanticSegmentation
  • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-3DPointCloudSemanticSegmentation
  • arn:aws:lambda:ap-south-1:565803892007:function:PRE-3DPointCloudSemanticSegmentation
  • arn:aws:lambda:eu-central-1:203001061592:function:PRE-3DPointCloudSemanticSegmentation
  • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-3DPointCloudSemanticSegmentation
  • arn:aws:lambda:eu-west-2:487402164563:function:PRE-3DPointCloudSemanticSegmentation
  • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-3DPointCloudSemanticSegmentation
  • arn:aws:lambda:ca-central-1:918755190332:function:PRE-3DPointCloudSemanticSegmentation

Use the following ARNs for Label Verification and Adjustment Jobs

Use label verification and adjustment jobs to review and adjust labels. To learn more, see Verify and Adjust Labels .

Bounding box verification - Uses a variant of the Expectation Maximization approach to estimate the true class of verification judgement for bounding box labels based on annotations from individual workers.

  • arn:aws:lambda:us-east-1:432418664414:function:PRE-VerificationBoundingBox
  • arn:aws:lambda:us-east-2:266458841044:function:PRE-VerificationBoundingBox
  • arn:aws:lambda:us-west-2:081040173940:function:PRE-VerificationBoundingBox
  • arn:aws:lambda:eu-west-1:568282634449:function:PRE-VerificationBoundingBox
  • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-VerificationBoundingBox
  • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-VerificationBoundingBox
  • arn:aws:lambda:ap-south-1:565803892007:function:PRE-VerificationBoundingBox
  • arn:aws:lambda:eu-central-1:203001061592:function:PRE-VerificationBoundingBox
  • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-VerificationBoundingBox
  • arn:aws:lambda:eu-west-2:487402164563:function:PRE-VerificationBoundingBox
  • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-VerificationBoundingBox
  • arn:aws:lambda:ca-central-1:918755190332:function:PRE-VerificationBoundingBox

Bounding box adjustment - Finds the most similar boxes from different workers based on the Jaccard index of the adjusted annotations.

  • arn:aws:lambda:us-east-1:432418664414:function:PRE-AdjustmentBoundingBox
  • arn:aws:lambda:us-east-2:266458841044:function:PRE-AdjustmentBoundingBox
  • arn:aws:lambda:us-west-2:081040173940:function:PRE-AdjustmentBoundingBox
  • arn:aws:lambda:ca-central-1:918755190332:function:PRE-AdjustmentBoundingBox
  • arn:aws:lambda:eu-west-1:568282634449:function:PRE-AdjustmentBoundingBox
  • arn:aws:lambda:eu-west-2:487402164563:function:PRE-AdjustmentBoundingBox
  • arn:aws:lambda:eu-central-1:203001061592:function:PRE-AdjustmentBoundingBox
  • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-AdjustmentBoundingBox
  • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-AdjustmentBoundingBox
  • arn:aws:lambda:ap-south-1:565803892007:function:PRE-AdjustmentBoundingBox
  • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-AdjustmentBoundingBox
  • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-AdjustmentBoundingBox

Semantic segmentation verification - Uses a variant of the Expectation Maximization approach to estimate the true class of verification judgment for semantic segmentation labels based on annotations from individual workers.

  • arn:aws:lambda:us-east-1:432418664414:function:PRE-VerificationSemanticSegmentation
  • arn:aws:lambda:us-east-2:266458841044:function:PRE-VerificationSemanticSegmentation
  • arn:aws:lambda:us-west-2:081040173940:function:PRE-VerificationSemanticSegmentation
  • arn:aws:lambda:ca-central-1:918755190332:function:PRE-VerificationSemanticSegmentation
  • arn:aws:lambda:eu-west-1:568282634449:function:PRE-VerificationSemanticSegmentation
  • arn:aws:lambda:eu-west-2:487402164563:function:PRE-VerificationSemanticSegmentation
  • arn:aws:lambda:eu-central-1:203001061592:function:PRE-VerificationSemanticSegmentation
  • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-VerificationSemanticSegmentation
  • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-VerificationSemanticSegmentation
  • arn:aws:lambda:ap-south-1:565803892007:function:PRE-VerificationSemanticSegmentation
  • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-VerificationSemanticSegmentation
  • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-VerificationSemanticSegmentation

Semantic segmentation adjustment - Treats each pixel in an image as a multi-class classification and treats pixel adjusted annotations from workers as "votes" for the correct label.

  • arn:aws:lambda:us-east-1:432418664414:function:PRE-AdjustmentSemanticSegmentation
  • arn:aws:lambda:us-east-2:266458841044:function:PRE-AdjustmentSemanticSegmentation
  • arn:aws:lambda:us-west-2:081040173940:function:PRE-AdjustmentSemanticSegmentation
  • arn:aws:lambda:ca-central-1:918755190332:function:PRE-AdjustmentSemanticSegmentation
  • arn:aws:lambda:eu-west-1:568282634449:function:PRE-AdjustmentSemanticSegmentation
  • arn:aws:lambda:eu-west-2:487402164563:function:PRE-AdjustmentSemanticSegmentation
  • arn:aws:lambda:eu-central-1:203001061592:function:PRE-AdjustmentSemanticSegmentation
  • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-AdjustmentSemanticSegmentation
  • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-AdjustmentSemanticSegmentation
  • arn:aws:lambda:ap-south-1:565803892007:function:PRE-AdjustmentSemanticSegmentation
  • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-AdjustmentSemanticSegmentation
  • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-AdjustmentSemanticSegmentation

Video Frame Object Detection Adjustment - Use this task type when you want workers to adjust bounding boxes that workers have added to video frames to classify and localize objects in a sequence of video frames.

  • arn:aws:lambda:us-east-1:432418664414:function:PRE-AdjustmentVideoObjectDetection
  • arn:aws:lambda:us-east-2:266458841044:function:PRE-AdjustmentVideoObjectDetection
  • arn:aws:lambda:us-west-2:081040173940:function:PRE-AdjustmentVideoObjectDetection
  • arn:aws:lambda:eu-west-1:568282634449:function:PRE-AdjustmentVideoObjectDetection
  • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-AdjustmentVideoObjectDetection
  • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-AdjustmentVideoObjectDetection
  • arn:aws:lambda:ap-south-1:565803892007:function:PRE-AdjustmentVideoObjectDetection
  • arn:aws:lambda:eu-central-1:203001061592:function:PRE-AdjustmentVideoObjectDetection
  • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-AdjustmentVideoObjectDetection
  • arn:aws:lambda:eu-west-2:487402164563:function:PRE-AdjustmentVideoObjectDetection
  • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-AdjustmentVideoObjectDetection
  • arn:aws:lambda:ca-central-1:918755190332:function:PRE-AdjustmentVideoObjectDetection

Video Frame Object Tracking Adjustment - Use this task type when you want workers to adjust bounding boxes that workers have added to video frames to track object movement across a sequence of video frames.

  • arn:aws:lambda:us-east-1:432418664414:function:PRE-AdjustmentVideoObjectTracking
  • arn:aws:lambda:us-east-2:266458841044:function:PRE-AdjustmentVideoObjectTracking
  • arn:aws:lambda:us-west-2:081040173940:function:PRE-AdjustmentVideoObjectTracking
  • arn:aws:lambda:eu-west-1:568282634449:function:PRE-AdjustmentVideoObjectTracking
  • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-AdjustmentVideoObjectTracking
  • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-AdjustmentVideoObjectTracking
  • arn:aws:lambda:ap-south-1:565803892007:function:PRE-AdjustmentVideoObjectTracking
  • arn:aws:lambda:eu-central-1:203001061592:function:PRE-AdjustmentVideoObjectTracking
  • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-AdjustmentVideoObjectTracking
  • arn:aws:lambda:eu-west-2:487402164563:function:PRE-AdjustmentVideoObjectTracking
  • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-AdjustmentVideoObjectTracking
  • arn:aws:lambda:ca-central-1:918755190332:function:PRE-AdjustmentVideoObjectTracking

3D point cloud object detection adjustment - Adjust 3D cuboids in a point cloud frame.

  • arn:aws:lambda:us-east-1:432418664414:function:PRE-Adjustment3DPointCloudObjectDetection
  • arn:aws:lambda:us-east-2:266458841044:function:PRE-Adjustment3DPointCloudObjectDetection
  • arn:aws:lambda:us-west-2:081040173940:function:PRE-Adjustment3DPointCloudObjectDetection
  • arn:aws:lambda:eu-west-1:568282634449:function:PRE-Adjustment3DPointCloudObjectDetection
  • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-Adjustment3DPointCloudObjectDetection
  • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-Adjustment3DPointCloudObjectDetection
  • arn:aws:lambda:ap-south-1:565803892007:function:PRE-Adjustment3DPointCloudObjectDetection
  • arn:aws:lambda:eu-central-1:203001061592:function:PRE-Adjustment3DPointCloudObjectDetection
  • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-Adjustment3DPointCloudObjectDetection
  • arn:aws:lambda:eu-west-2:487402164563:function:PRE-Adjustment3DPointCloudObjectDetection
  • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-Adjustment3DPointCloudObjectDetection
  • arn:aws:lambda:ca-central-1:918755190332:function:PRE-Adjustment3DPointCloudObjectDetection

3D point cloud object tracking adjustment - Adjust 3D cuboids across a sequence of point cloud frames.

  • arn:aws:lambda:us-east-1:432418664414:function:PRE-Adjustment3DPointCloudObjectTracking
  • arn:aws:lambda:us-east-2:266458841044:function:PRE-Adjustment3DPointCloudObjectTracking
  • arn:aws:lambda:us-west-2:081040173940:function:PRE-Adjustment3DPointCloudObjectTracking
  • arn:aws:lambda:eu-west-1:568282634449:function:PRE-Adjustment3DPointCloudObjectTracking
  • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-Adjustment3DPointCloudObjectTracking
  • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-Adjustment3DPointCloudObjectTracking
  • arn:aws:lambda:ap-south-1:565803892007:function:PRE-Adjustment3DPointCloudObjectTracking
  • arn:aws:lambda:eu-central-1:203001061592:function:PRE-Adjustment3DPointCloudObjectTracking
  • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-Adjustment3DPointCloudObjectTracking
  • arn:aws:lambda:eu-west-2:487402164563:function:PRE-Adjustment3DPointCloudObjectTracking
  • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-Adjustment3DPointCloudObjectTracking
  • arn:aws:lambda:ca-central-1:918755190332:function:PRE-Adjustment3DPointCloudObjectTracking

3D point cloud semantic segmentation adjustment - Adjust semantic segmentation masks in a 3D point cloud.

  • arn:aws:lambda:us-east-1:432418664414:function:PRE-Adjustment3DPointCloudSemanticSegmentation
  • arn:aws:lambda:us-east-2:266458841044:function:PRE-Adjustment3DPointCloudSemanticSegmentation
  • arn:aws:lambda:us-west-2:081040173940:function:PRE-Adjustment3DPointCloudSemanticSegmentation
  • arn:aws:lambda:eu-west-1:568282634449:function:PRE-Adjustment3DPointCloudSemanticSegmentation
  • arn:aws:lambda:ap-northeast-1:477331159723:function:PRE-Adjustment3DPointCloudSemanticSegmentation
  • arn:aws:lambda:ap-southeast-2:454466003867:function:PRE-Adjustment3DPointCloudSemanticSegmentation
  • arn:aws:lambda:ap-south-1:565803892007:function:PRE-Adjustment3DPointCloudSemanticSegmentation
  • arn:aws:lambda:eu-central-1:203001061592:function:PRE-Adjustment3DPointCloudSemanticSegmentation
  • arn:aws:lambda:ap-northeast-2:845288260483:function:PRE-Adjustment3DPointCloudSemanticSegmentation
  • arn:aws:lambda:eu-west-2:487402164563:function:PRE-Adjustment3DPointCloudSemanticSegmentation
  • arn:aws:lambda:ap-southeast-1:377565633583:function:PRE-Adjustment3DPointCloudSemanticSegmentation
  • arn:aws:lambda:ca-central-1:918755190332:function:PRE-Adjustment3DPointCloudSemanticSegmentation

humanTaskConfig_taskTitle :: Lens' HumanTaskConfig Text Source #

A title for the task for your human workers.

humanTaskConfig_taskDescription :: Lens' HumanTaskConfig Text Source #

A description of the task for your human workers.

humanTaskConfig_numberOfHumanWorkersPerDataObject :: Lens' HumanTaskConfig Natural Source #

The number of human workers that will label an object.

humanTaskConfig_taskTimeLimitInSeconds :: Lens' HumanTaskConfig Natural Source #

The amount of time that a worker has to complete a task.

If you create a custom labeling job, the maximum value for this parameter is 8 hours (28,800 seconds).

If you create a labeling job using a built-in task type the maximum for this parameter depends on the task type you use:

  • For image and text labeling jobs, the maximum is 8 hours (28,800 seconds).
  • For 3D point cloud and video frame labeling jobs, the maximum is 30 days (2952,000 seconds) for non-AL mode. For most users, the maximum is also 30 days.

humanTaskConfig_annotationConsolidationConfig :: Lens' HumanTaskConfig AnnotationConsolidationConfig Source #

Configures how labels are consolidated across human workers.

HumanTaskUiSummary

data HumanTaskUiSummary Source #

Container for human task user interface information.

See: newHumanTaskUiSummary smart constructor.

Constructors

HumanTaskUiSummary' 

Fields

Instances

Instances details
FromJSON HumanTaskUiSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HumanTaskUiSummary

Methods

parseJSON :: Value -> Parser HumanTaskUiSummary #

parseJSONList :: Value -> Parser [HumanTaskUiSummary] #

Generic HumanTaskUiSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HumanTaskUiSummary

Associated Types

type Rep HumanTaskUiSummary :: Type -> Type #

Methods

from :: HumanTaskUiSummary -> Rep HumanTaskUiSummary x #

to :: Rep HumanTaskUiSummary x -> HumanTaskUiSummary #

Read HumanTaskUiSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HumanTaskUiSummary

Methods

readsPrec :: Int -> ReadS HumanTaskUiSummary #

readList :: ReadS [HumanTaskUiSummary] #

readPrec :: ReadPrec HumanTaskUiSummary #

readListPrec :: ReadPrec [HumanTaskUiSummary] #

Show HumanTaskUiSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HumanTaskUiSummary

Methods

showsPrec :: Int -> HumanTaskUiSummary -> ShowS #

show :: HumanTaskUiSummary -> String #

showList :: [HumanTaskUiSummary] -> ShowS #

NFData HumanTaskUiSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HumanTaskUiSummary

Methods

rnf :: HumanTaskUiSummary -> () #

Eq HumanTaskUiSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HumanTaskUiSummary

Methods

(==) :: HumanTaskUiSummary -> HumanTaskUiSummary -> Bool #

(/=) :: HumanTaskUiSummary -> HumanTaskUiSummary -> Bool #

Hashable HumanTaskUiSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HumanTaskUiSummary

Methods

hashWithSalt :: Int -> HumanTaskUiSummary -> Int #

hash :: HumanTaskUiSummary -> Int #

type Rep HumanTaskUiSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HumanTaskUiSummary

type Rep HumanTaskUiSummary = D1 ('MetaData "HumanTaskUiSummary" "Amazonka.SageMaker.Types.HumanTaskUiSummary" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "HumanTaskUiSummary'" 'PrefixI 'True) (S1 ('MetaSel ('Just "humanTaskUiName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: (S1 ('MetaSel ('Just "humanTaskUiArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: S1 ('MetaSel ('Just "creationTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 POSIX))))

newHumanTaskUiSummary Source #

Arguments

:: Text

$sel:humanTaskUiName:HumanTaskUiSummary'

-> Text

$sel:humanTaskUiArn:HumanTaskUiSummary'

-> UTCTime

$sel:creationTime:HumanTaskUiSummary'

-> HumanTaskUiSummary 

Create a value of HumanTaskUiSummary with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:humanTaskUiName:HumanTaskUiSummary', humanTaskUiSummary_humanTaskUiName - The name of the human task user interface.

$sel:humanTaskUiArn:HumanTaskUiSummary', humanTaskUiSummary_humanTaskUiArn - The Amazon Resource Name (ARN) of the human task user interface.

$sel:creationTime:HumanTaskUiSummary', humanTaskUiSummary_creationTime - A timestamp when SageMaker created the human task user interface.

humanTaskUiSummary_humanTaskUiName :: Lens' HumanTaskUiSummary Text Source #

The name of the human task user interface.

humanTaskUiSummary_humanTaskUiArn :: Lens' HumanTaskUiSummary Text Source #

The Amazon Resource Name (ARN) of the human task user interface.

humanTaskUiSummary_creationTime :: Lens' HumanTaskUiSummary UTCTime Source #

A timestamp when SageMaker created the human task user interface.

HyperParameterAlgorithmSpecification

data HyperParameterAlgorithmSpecification Source #

Specifies which training algorithm to use for training jobs that a hyperparameter tuning job launches and the metrics to monitor.

See: newHyperParameterAlgorithmSpecification smart constructor.

Constructors

HyperParameterAlgorithmSpecification' 

Fields

Instances

Instances details
FromJSON HyperParameterAlgorithmSpecification Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterAlgorithmSpecification

Methods

parseJSON :: Value -> Parser HyperParameterAlgorithmSpecification #

parseJSONList :: Value -> Parser [HyperParameterAlgorithmSpecification] #

ToJSON HyperParameterAlgorithmSpecification Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterAlgorithmSpecification

Methods

toJSON :: HyperParameterAlgorithmSpecification -> Value #

toEncoding :: HyperParameterAlgorithmSpecification -> Encoding #

toJSONList :: [HyperParameterAlgorithmSpecification] -> Value #

toEncodingList :: [HyperParameterAlgorithmSpecification] -> Encoding #

Generic HyperParameterAlgorithmSpecification Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterAlgorithmSpecification

Associated Types

type Rep HyperParameterAlgorithmSpecification :: Type -> Type #

Methods

from :: HyperParameterAlgorithmSpecification -> Rep HyperParameterAlgorithmSpecification x #

to :: Rep HyperParameterAlgorithmSpecification x -> HyperParameterAlgorithmSpecification #

Read HyperParameterAlgorithmSpecification Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterAlgorithmSpecification

Methods

readsPrec :: Int -> ReadS HyperParameterAlgorithmSpecification #

readList :: ReadS [HyperParameterAlgorithmSpecification] #

readPrec :: ReadPrec HyperParameterAlgorithmSpecification #

readListPrec :: ReadPrec [HyperParameterAlgorithmSpecification] #

Show HyperParameterAlgorithmSpecification Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterAlgorithmSpecification

Methods

showsPrec :: Int -> HyperParameterAlgorithmSpecification -> ShowS #

show :: HyperParameterAlgorithmSpecification -> String #

showList :: [HyperParameterAlgorithmSpecification] -> ShowS #

NFData HyperParameterAlgorithmSpecification Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterAlgorithmSpecification

Methods

rnf :: HyperParameterAlgorithmSpecification -> () #

Eq HyperParameterAlgorithmSpecification Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterAlgorithmSpecification

Methods

(==) :: HyperParameterAlgorithmSpecification -> HyperParameterAlgorithmSpecification -> Bool #

(/=) :: HyperParameterAlgorithmSpecification -> HyperParameterAlgorithmSpecification -> Bool #

Hashable HyperParameterAlgorithmSpecification Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterAlgorithmSpecification

Methods

hashWithSalt :: Int -> HyperParameterAlgorithmSpecification -> Int #

hash :: HyperParameterAlgorithmSpecification -> Int #

type Rep HyperParameterAlgorithmSpecification Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterAlgorithmSpecification

type Rep HyperParameterAlgorithmSpecification = D1 ('MetaData "HyperParameterAlgorithmSpecification" "Amazonka.SageMaker.Types.HyperParameterAlgorithmSpecification" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "HyperParameterAlgorithmSpecification'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "algorithmName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "metricDefinitions") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [MetricDefinition]))) :*: (S1 ('MetaSel ('Just "trainingImage") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "trainingInputMode") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 TrainingInputMode))))

newHyperParameterAlgorithmSpecification Source #

Arguments

:: TrainingInputMode

$sel:trainingInputMode:HyperParameterAlgorithmSpecification'

-> HyperParameterAlgorithmSpecification 

Create a value of HyperParameterAlgorithmSpecification with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:algorithmName:HyperParameterAlgorithmSpecification', hyperParameterAlgorithmSpecification_algorithmName - The name of the resource algorithm to use for the hyperparameter tuning job. If you specify a value for this parameter, do not specify a value for TrainingImage.

$sel:metricDefinitions:HyperParameterAlgorithmSpecification', hyperParameterAlgorithmSpecification_metricDefinitions - An array of MetricDefinition objects that specify the metrics that the algorithm emits.

$sel:trainingImage:HyperParameterAlgorithmSpecification', hyperParameterAlgorithmSpecification_trainingImage - The registry path of the Docker image that contains the training algorithm. For information about Docker registry paths for built-in algorithms, see Algorithms Provided by Amazon SageMaker: Common Parameters. SageMaker supports both registry/repository[:tag] and registry/repository[@digest] image path formats. For more information, see Using Your Own Algorithms with Amazon SageMaker.

$sel:trainingInputMode:HyperParameterAlgorithmSpecification', hyperParameterAlgorithmSpecification_trainingInputMode - Undocumented member.

hyperParameterAlgorithmSpecification_algorithmName :: Lens' HyperParameterAlgorithmSpecification (Maybe Text) Source #

The name of the resource algorithm to use for the hyperparameter tuning job. If you specify a value for this parameter, do not specify a value for TrainingImage.

hyperParameterAlgorithmSpecification_metricDefinitions :: Lens' HyperParameterAlgorithmSpecification (Maybe [MetricDefinition]) Source #

An array of MetricDefinition objects that specify the metrics that the algorithm emits.

hyperParameterAlgorithmSpecification_trainingImage :: Lens' HyperParameterAlgorithmSpecification (Maybe Text) Source #

The registry path of the Docker image that contains the training algorithm. For information about Docker registry paths for built-in algorithms, see Algorithms Provided by Amazon SageMaker: Common Parameters. SageMaker supports both registry/repository[:tag] and registry/repository[@digest] image path formats. For more information, see Using Your Own Algorithms with Amazon SageMaker.

hyperParameterAlgorithmSpecification_trainingInputMode :: Lens' HyperParameterAlgorithmSpecification TrainingInputMode Source #

Undocumented member.

HyperParameterSpecification

data HyperParameterSpecification Source #

Defines a hyperparameter to be used by an algorithm.

See: newHyperParameterSpecification smart constructor.

Constructors

HyperParameterSpecification' 

Fields

  • defaultValue :: Maybe Text

    The default value for this hyperparameter. If a default value is specified, a hyperparameter cannot be required.

  • description :: Maybe Text

    A brief description of the hyperparameter.

  • isRequired :: Maybe Bool

    Indicates whether this hyperparameter is required.

  • isTunable :: Maybe Bool

    Indicates whether this hyperparameter is tunable in a hyperparameter tuning job.

  • range :: Maybe ParameterRange

    The allowed range for this hyperparameter.

  • name :: Text

    The name of this hyperparameter. The name must be unique.

  • type' :: ParameterType

    The type of this hyperparameter. The valid types are Integer, Continuous, Categorical, and FreeText.

Instances

Instances details
FromJSON HyperParameterSpecification Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterSpecification

Methods

parseJSON :: Value -> Parser HyperParameterSpecification #

parseJSONList :: Value -> Parser [HyperParameterSpecification] #

ToJSON HyperParameterSpecification Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterSpecification

Methods

toJSON :: HyperParameterSpecification -> Value #

toEncoding :: HyperParameterSpecification -> Encoding #

toJSONList :: [HyperParameterSpecification] -> Value #

toEncodingList :: [HyperParameterSpecification] -> Encoding #

Generic HyperParameterSpecification Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterSpecification

Associated Types

type Rep HyperParameterSpecification :: Type -> Type #

Methods

from :: HyperParameterSpecification -> Rep HyperParameterSpecification x #

to :: Rep HyperParameterSpecification x -> HyperParameterSpecification #

Read HyperParameterSpecification Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterSpecification

Methods

readsPrec :: Int -> ReadS HyperParameterSpecification #

readList :: ReadS [HyperParameterSpecification] #

readPrec :: ReadPrec HyperParameterSpecification #

readListPrec :: ReadPrec [HyperParameterSpecification] #

Show HyperParameterSpecification Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterSpecification

Methods

showsPrec :: Int -> HyperParameterSpecification -> ShowS #

show :: HyperParameterSpecification -> String #

showList :: [HyperParameterSpecification] -> ShowS #

NFData HyperParameterSpecification Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterSpecification

Methods

rnf :: HyperParameterSpecification -> () #

Eq HyperParameterSpecification Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterSpecification

Methods

(==) :: HyperParameterSpecification -> HyperParameterSpecification -> Bool #

(/=) :: HyperParameterSpecification -> HyperParameterSpecification -> Bool #

Hashable HyperParameterSpecification Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterSpecification

Methods

hashWithSalt :: Int -> HyperParameterSpecification -> Int #

hash :: HyperParameterSpecification -> Int #

type Rep HyperParameterSpecification Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterSpecification

type Rep HyperParameterSpecification = D1 ('MetaData "HyperParameterSpecification" "Amazonka.SageMaker.Types.HyperParameterSpecification" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "HyperParameterSpecification'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "defaultValue") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: (S1 ('MetaSel ('Just "description") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "isRequired") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Bool)))) :*: ((S1 ('MetaSel ('Just "isTunable") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Bool)) :*: S1 ('MetaSel ('Just "range") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ParameterRange))) :*: (S1 ('MetaSel ('Just "name") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: S1 ('MetaSel ('Just "type'") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 ParameterType)))))

newHyperParameterSpecification Source #

Arguments

:: Text

$sel:name:HyperParameterSpecification'

-> ParameterType

$sel:type':HyperParameterSpecification'

-> HyperParameterSpecification 

Create a value of HyperParameterSpecification with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:defaultValue:HyperParameterSpecification', hyperParameterSpecification_defaultValue - The default value for this hyperparameter. If a default value is specified, a hyperparameter cannot be required.

$sel:description:HyperParameterSpecification', hyperParameterSpecification_description - A brief description of the hyperparameter.

$sel:isRequired:HyperParameterSpecification', hyperParameterSpecification_isRequired - Indicates whether this hyperparameter is required.

$sel:isTunable:HyperParameterSpecification', hyperParameterSpecification_isTunable - Indicates whether this hyperparameter is tunable in a hyperparameter tuning job.

$sel:range:HyperParameterSpecification', hyperParameterSpecification_range - The allowed range for this hyperparameter.

$sel:name:HyperParameterSpecification', hyperParameterSpecification_name - The name of this hyperparameter. The name must be unique.

$sel:type':HyperParameterSpecification', hyperParameterSpecification_type - The type of this hyperparameter. The valid types are Integer, Continuous, Categorical, and FreeText.

hyperParameterSpecification_defaultValue :: Lens' HyperParameterSpecification (Maybe Text) Source #

The default value for this hyperparameter. If a default value is specified, a hyperparameter cannot be required.

hyperParameterSpecification_description :: Lens' HyperParameterSpecification (Maybe Text) Source #

A brief description of the hyperparameter.

hyperParameterSpecification_isRequired :: Lens' HyperParameterSpecification (Maybe Bool) Source #

Indicates whether this hyperparameter is required.

hyperParameterSpecification_isTunable :: Lens' HyperParameterSpecification (Maybe Bool) Source #

Indicates whether this hyperparameter is tunable in a hyperparameter tuning job.

hyperParameterSpecification_range :: Lens' HyperParameterSpecification (Maybe ParameterRange) Source #

The allowed range for this hyperparameter.

hyperParameterSpecification_name :: Lens' HyperParameterSpecification Text Source #

The name of this hyperparameter. The name must be unique.

hyperParameterSpecification_type :: Lens' HyperParameterSpecification ParameterType Source #

The type of this hyperparameter. The valid types are Integer, Continuous, Categorical, and FreeText.

HyperParameterTrainingJobDefinition

data HyperParameterTrainingJobDefinition Source #

Defines the training jobs launched by a hyperparameter tuning job.

See: newHyperParameterTrainingJobDefinition smart constructor.

Constructors

HyperParameterTrainingJobDefinition' 

Fields

  • checkpointConfig :: Maybe CheckpointConfig
     
  • definitionName :: Maybe Text

    The job definition name.

  • enableInterContainerTrafficEncryption :: Maybe Bool

    To encrypt all communications between ML compute instances in distributed training, choose True. Encryption provides greater security for distributed training, but training might take longer. How long it takes depends on the amount of communication between compute instances, especially if you use a deep learning algorithm in distributed training.

  • enableManagedSpotTraining :: Maybe Bool

    A Boolean indicating whether managed spot training is enabled (True) or not (False).

  • enableNetworkIsolation :: Maybe Bool

    Isolates the training container. No inbound or outbound network calls can be made, except for calls between peers within a training cluster for distributed training. If network isolation is used for training jobs that are configured to use a VPC, SageMaker downloads and uploads customer data and model artifacts through the specified VPC, but the training container does not have network access.

  • hyperParameterRanges :: Maybe ParameterRanges
     
  • hyperParameterTuningResourceConfig :: Maybe HyperParameterTuningResourceConfig

    The configuration for the hyperparameter tuning resources, including the compute instances and storage volumes, used for training jobs launched by the tuning job. By default, storage volumes hold model artifacts and incremental states. Choose File for TrainingInputMode in the AlgorithmSpecification parameter to additionally store training data in the storage volume (optional).

  • inputDataConfig :: Maybe (NonEmpty Channel)

    An array of Channel objects that specify the input for the training jobs that the tuning job launches.

  • resourceConfig :: Maybe ResourceConfig

    The resources, including the compute instances and storage volumes, to use for the training jobs that the tuning job launches.

    Storage volumes store model artifacts and incremental states. Training algorithms might also use storage volumes for scratch space. If you want SageMaker to use the storage volume to store the training data, choose File as the TrainingInputMode in the algorithm specification. For distributed training algorithms, specify an instance count greater than 1.

    If you want to use hyperparameter optimization with instance type flexibility, use HyperParameterTuningResourceConfig instead.

  • retryStrategy :: Maybe RetryStrategy

    The number of times to retry the job when the job fails due to an InternalServerError.

  • staticHyperParameters :: Maybe (HashMap Text Text)

    Specifies the values of hyperparameters that do not change for the tuning job.

  • tuningObjective :: Maybe HyperParameterTuningJobObjective
     
  • vpcConfig :: Maybe VpcConfig

    The VpcConfig object that specifies the VPC that you want the training jobs that this hyperparameter tuning job launches to connect to. Control access to and from your training container by configuring the VPC. For more information, see Protect Training Jobs by Using an Amazon Virtual Private Cloud.

  • algorithmSpecification :: HyperParameterAlgorithmSpecification

    The HyperParameterAlgorithmSpecification object that specifies the resource algorithm to use for the training jobs that the tuning job launches.

  • roleArn :: Text

    The Amazon Resource Name (ARN) of the IAM role associated with the training jobs that the tuning job launches.

  • outputDataConfig :: OutputDataConfig

    Specifies the path to the Amazon S3 bucket where you store model artifacts from the training jobs that the tuning job launches.

  • stoppingCondition :: StoppingCondition

    Specifies a limit to how long a model hyperparameter training job can run. It also specifies how long a managed spot training job has to complete. When the job reaches the time limit, SageMaker ends the training job. Use this API to cap model training costs.

Instances

Instances details
FromJSON HyperParameterTrainingJobDefinition Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterTrainingJobDefinition

Methods

parseJSON :: Value -> Parser HyperParameterTrainingJobDefinition #

parseJSONList :: Value -> Parser [HyperParameterTrainingJobDefinition] #

ToJSON HyperParameterTrainingJobDefinition Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterTrainingJobDefinition

Methods

toJSON :: HyperParameterTrainingJobDefinition -> Value #

toEncoding :: HyperParameterTrainingJobDefinition -> Encoding #

toJSONList :: [HyperParameterTrainingJobDefinition] -> Value #

toEncodingList :: [HyperParameterTrainingJobDefinition] -> Encoding #

Generic HyperParameterTrainingJobDefinition Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterTrainingJobDefinition

Associated Types

type Rep HyperParameterTrainingJobDefinition :: Type -> Type #

Methods

from :: HyperParameterTrainingJobDefinition -> Rep HyperParameterTrainingJobDefinition x #

to :: Rep HyperParameterTrainingJobDefinition x -> HyperParameterTrainingJobDefinition #

Read HyperParameterTrainingJobDefinition Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterTrainingJobDefinition

Methods

readsPrec :: Int -> ReadS HyperParameterTrainingJobDefinition #

readList :: ReadS [HyperParameterTrainingJobDefinition] #

readPrec :: ReadPrec HyperParameterTrainingJobDefinition #

readListPrec :: ReadPrec [HyperParameterTrainingJobDefinition] #

Show HyperParameterTrainingJobDefinition Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterTrainingJobDefinition

Methods

showsPrec :: Int -> HyperParameterTrainingJobDefinition -> ShowS #

show :: HyperParameterTrainingJobDefinition -> String #

showList :: [HyperParameterTrainingJobDefinition] -> ShowS #

NFData HyperParameterTrainingJobDefinition Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterTrainingJobDefinition

Methods

rnf :: HyperParameterTrainingJobDefinition -> () #

Eq HyperParameterTrainingJobDefinition Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterTrainingJobDefinition

Methods

(==) :: HyperParameterTrainingJobDefinition -> HyperParameterTrainingJobDefinition -> Bool #

(/=) :: HyperParameterTrainingJobDefinition -> HyperParameterTrainingJobDefinition -> Bool #

Hashable HyperParameterTrainingJobDefinition Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterTrainingJobDefinition

Methods

hashWithSalt :: Int -> HyperParameterTrainingJobDefinition -> Int #

hash :: HyperParameterTrainingJobDefinition -> Int #

type Rep HyperParameterTrainingJobDefinition Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterTrainingJobDefinition

type Rep HyperParameterTrainingJobDefinition = D1 ('MetaData "HyperParameterTrainingJobDefinition" "Amazonka.SageMaker.Types.HyperParameterTrainingJobDefinition" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "HyperParameterTrainingJobDefinition'" 'PrefixI 'True) ((((S1 ('MetaSel ('Just "checkpointConfig") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe CheckpointConfig)) :*: S1 ('MetaSel ('Just "definitionName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))) :*: (S1 ('MetaSel ('Just "enableInterContainerTrafficEncryption") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Bool)) :*: S1 ('MetaSel ('Just "enableManagedSpotTraining") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Bool)))) :*: ((S1 ('MetaSel ('Just "enableNetworkIsolation") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Bool)) :*: S1 ('MetaSel ('Just "hyperParameterRanges") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ParameterRanges))) :*: (S1 ('MetaSel ('Just "hyperParameterTuningResourceConfig") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe HyperParameterTuningResourceConfig)) :*: S1 ('MetaSel ('Just "inputDataConfig") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe (NonEmpty Channel)))))) :*: (((S1 ('MetaSel ('Just "resourceConfig") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ResourceConfig)) :*: S1 ('MetaSel ('Just "retryStrategy") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe RetryStrategy))) :*: (S1 ('MetaSel ('Just "staticHyperParameters") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe (HashMap Text Text))) :*: S1 ('MetaSel ('Just "tuningObjective") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe HyperParameterTuningJobObjective)))) :*: ((S1 ('MetaSel ('Just "vpcConfig") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe VpcConfig)) :*: S1 ('MetaSel ('Just "algorithmSpecification") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 HyperParameterAlgorithmSpecification)) :*: (S1 ('MetaSel ('Just "roleArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: (S1 ('MetaSel ('Just "outputDataConfig") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 OutputDataConfig) :*: S1 ('MetaSel ('Just "stoppingCondition") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 StoppingCondition)))))))

newHyperParameterTrainingJobDefinition Source #

Arguments

:: HyperParameterAlgorithmSpecification

$sel:algorithmSpecification:HyperParameterTrainingJobDefinition'

-> Text

$sel:roleArn:HyperParameterTrainingJobDefinition'

-> OutputDataConfig

$sel:outputDataConfig:HyperParameterTrainingJobDefinition'

-> StoppingCondition

$sel:stoppingCondition:HyperParameterTrainingJobDefinition'

-> HyperParameterTrainingJobDefinition 

Create a value of HyperParameterTrainingJobDefinition with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:checkpointConfig:HyperParameterTrainingJobDefinition', hyperParameterTrainingJobDefinition_checkpointConfig - Undocumented member.

$sel:definitionName:HyperParameterTrainingJobDefinition', hyperParameterTrainingJobDefinition_definitionName - The job definition name.

$sel:enableInterContainerTrafficEncryption:HyperParameterTrainingJobDefinition', hyperParameterTrainingJobDefinition_enableInterContainerTrafficEncryption - To encrypt all communications between ML compute instances in distributed training, choose True. Encryption provides greater security for distributed training, but training might take longer. How long it takes depends on the amount of communication between compute instances, especially if you use a deep learning algorithm in distributed training.

$sel:enableManagedSpotTraining:HyperParameterTrainingJobDefinition', hyperParameterTrainingJobDefinition_enableManagedSpotTraining - A Boolean indicating whether managed spot training is enabled (True) or not (False).

$sel:enableNetworkIsolation:HyperParameterTrainingJobDefinition', hyperParameterTrainingJobDefinition_enableNetworkIsolation - Isolates the training container. No inbound or outbound network calls can be made, except for calls between peers within a training cluster for distributed training. If network isolation is used for training jobs that are configured to use a VPC, SageMaker downloads and uploads customer data and model artifacts through the specified VPC, but the training container does not have network access.

$sel:hyperParameterRanges:HyperParameterTrainingJobDefinition', hyperParameterTrainingJobDefinition_hyperParameterRanges - Undocumented member.

$sel:hyperParameterTuningResourceConfig:HyperParameterTrainingJobDefinition', hyperParameterTrainingJobDefinition_hyperParameterTuningResourceConfig - The configuration for the hyperparameter tuning resources, including the compute instances and storage volumes, used for training jobs launched by the tuning job. By default, storage volumes hold model artifacts and incremental states. Choose File for TrainingInputMode in the AlgorithmSpecification parameter to additionally store training data in the storage volume (optional).

$sel:inputDataConfig:HyperParameterTrainingJobDefinition', hyperParameterTrainingJobDefinition_inputDataConfig - An array of Channel objects that specify the input for the training jobs that the tuning job launches.

$sel:resourceConfig:HyperParameterTrainingJobDefinition', hyperParameterTrainingJobDefinition_resourceConfig - The resources, including the compute instances and storage volumes, to use for the training jobs that the tuning job launches.

Storage volumes store model artifacts and incremental states. Training algorithms might also use storage volumes for scratch space. If you want SageMaker to use the storage volume to store the training data, choose File as the TrainingInputMode in the algorithm specification. For distributed training algorithms, specify an instance count greater than 1.

If you want to use hyperparameter optimization with instance type flexibility, use HyperParameterTuningResourceConfig instead.

$sel:retryStrategy:HyperParameterTrainingJobDefinition', hyperParameterTrainingJobDefinition_retryStrategy - The number of times to retry the job when the job fails due to an InternalServerError.

$sel:staticHyperParameters:HyperParameterTrainingJobDefinition', hyperParameterTrainingJobDefinition_staticHyperParameters - Specifies the values of hyperparameters that do not change for the tuning job.

$sel:tuningObjective:HyperParameterTrainingJobDefinition', hyperParameterTrainingJobDefinition_tuningObjective - Undocumented member.

$sel:vpcConfig:HyperParameterTrainingJobDefinition', hyperParameterTrainingJobDefinition_vpcConfig - The VpcConfig object that specifies the VPC that you want the training jobs that this hyperparameter tuning job launches to connect to. Control access to and from your training container by configuring the VPC. For more information, see Protect Training Jobs by Using an Amazon Virtual Private Cloud.

$sel:algorithmSpecification:HyperParameterTrainingJobDefinition', hyperParameterTrainingJobDefinition_algorithmSpecification - The HyperParameterAlgorithmSpecification object that specifies the resource algorithm to use for the training jobs that the tuning job launches.

$sel:roleArn:HyperParameterTrainingJobDefinition', hyperParameterTrainingJobDefinition_roleArn - The Amazon Resource Name (ARN) of the IAM role associated with the training jobs that the tuning job launches.

$sel:outputDataConfig:HyperParameterTrainingJobDefinition', hyperParameterTrainingJobDefinition_outputDataConfig - Specifies the path to the Amazon S3 bucket where you store model artifacts from the training jobs that the tuning job launches.

$sel:stoppingCondition:HyperParameterTrainingJobDefinition', hyperParameterTrainingJobDefinition_stoppingCondition - Specifies a limit to how long a model hyperparameter training job can run. It also specifies how long a managed spot training job has to complete. When the job reaches the time limit, SageMaker ends the training job. Use this API to cap model training costs.

hyperParameterTrainingJobDefinition_checkpointConfig :: Lens' HyperParameterTrainingJobDefinition (Maybe CheckpointConfig) Source #

Undocumented member.

hyperParameterTrainingJobDefinition_definitionName :: Lens' HyperParameterTrainingJobDefinition (Maybe Text) Source #

The job definition name.

hyperParameterTrainingJobDefinition_enableInterContainerTrafficEncryption :: Lens' HyperParameterTrainingJobDefinition (Maybe Bool) Source #

To encrypt all communications between ML compute instances in distributed training, choose True. Encryption provides greater security for distributed training, but training might take longer. How long it takes depends on the amount of communication between compute instances, especially if you use a deep learning algorithm in distributed training.

hyperParameterTrainingJobDefinition_enableManagedSpotTraining :: Lens' HyperParameterTrainingJobDefinition (Maybe Bool) Source #

A Boolean indicating whether managed spot training is enabled (True) or not (False).

hyperParameterTrainingJobDefinition_enableNetworkIsolation :: Lens' HyperParameterTrainingJobDefinition (Maybe Bool) Source #

Isolates the training container. No inbound or outbound network calls can be made, except for calls between peers within a training cluster for distributed training. If network isolation is used for training jobs that are configured to use a VPC, SageMaker downloads and uploads customer data and model artifacts through the specified VPC, but the training container does not have network access.

hyperParameterTrainingJobDefinition_hyperParameterRanges :: Lens' HyperParameterTrainingJobDefinition (Maybe ParameterRanges) Source #

Undocumented member.

hyperParameterTrainingJobDefinition_hyperParameterTuningResourceConfig :: Lens' HyperParameterTrainingJobDefinition (Maybe HyperParameterTuningResourceConfig) Source #

The configuration for the hyperparameter tuning resources, including the compute instances and storage volumes, used for training jobs launched by the tuning job. By default, storage volumes hold model artifacts and incremental states. Choose File for TrainingInputMode in the AlgorithmSpecification parameter to additionally store training data in the storage volume (optional).

hyperParameterTrainingJobDefinition_inputDataConfig :: Lens' HyperParameterTrainingJobDefinition (Maybe (NonEmpty Channel)) Source #

An array of Channel objects that specify the input for the training jobs that the tuning job launches.

hyperParameterTrainingJobDefinition_resourceConfig :: Lens' HyperParameterTrainingJobDefinition (Maybe ResourceConfig) Source #

The resources, including the compute instances and storage volumes, to use for the training jobs that the tuning job launches.

Storage volumes store model artifacts and incremental states. Training algorithms might also use storage volumes for scratch space. If you want SageMaker to use the storage volume to store the training data, choose File as the TrainingInputMode in the algorithm specification. For distributed training algorithms, specify an instance count greater than 1.

If you want to use hyperparameter optimization with instance type flexibility, use HyperParameterTuningResourceConfig instead.

hyperParameterTrainingJobDefinition_retryStrategy :: Lens' HyperParameterTrainingJobDefinition (Maybe RetryStrategy) Source #

The number of times to retry the job when the job fails due to an InternalServerError.

hyperParameterTrainingJobDefinition_staticHyperParameters :: Lens' HyperParameterTrainingJobDefinition (Maybe (HashMap Text Text)) Source #

Specifies the values of hyperparameters that do not change for the tuning job.

hyperParameterTrainingJobDefinition_tuningObjective :: Lens' HyperParameterTrainingJobDefinition (Maybe HyperParameterTuningJobObjective) Source #

Undocumented member.

hyperParameterTrainingJobDefinition_vpcConfig :: Lens' HyperParameterTrainingJobDefinition (Maybe VpcConfig) Source #

The VpcConfig object that specifies the VPC that you want the training jobs that this hyperparameter tuning job launches to connect to. Control access to and from your training container by configuring the VPC. For more information, see Protect Training Jobs by Using an Amazon Virtual Private Cloud.

hyperParameterTrainingJobDefinition_algorithmSpecification :: Lens' HyperParameterTrainingJobDefinition HyperParameterAlgorithmSpecification Source #

The HyperParameterAlgorithmSpecification object that specifies the resource algorithm to use for the training jobs that the tuning job launches.

hyperParameterTrainingJobDefinition_roleArn :: Lens' HyperParameterTrainingJobDefinition Text Source #

The Amazon Resource Name (ARN) of the IAM role associated with the training jobs that the tuning job launches.

hyperParameterTrainingJobDefinition_outputDataConfig :: Lens' HyperParameterTrainingJobDefinition OutputDataConfig Source #

Specifies the path to the Amazon S3 bucket where you store model artifacts from the training jobs that the tuning job launches.

hyperParameterTrainingJobDefinition_stoppingCondition :: Lens' HyperParameterTrainingJobDefinition StoppingCondition Source #

Specifies a limit to how long a model hyperparameter training job can run. It also specifies how long a managed spot training job has to complete. When the job reaches the time limit, SageMaker ends the training job. Use this API to cap model training costs.

HyperParameterTrainingJobSummary

data HyperParameterTrainingJobSummary Source #

The container for the summary information about a training job.

See: newHyperParameterTrainingJobSummary smart constructor.

Constructors

HyperParameterTrainingJobSummary' 

Fields

Instances

Instances details
FromJSON HyperParameterTrainingJobSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterTrainingJobSummary

Methods

parseJSON :: Value -> Parser HyperParameterTrainingJobSummary #

parseJSONList :: Value -> Parser [HyperParameterTrainingJobSummary] #

Generic HyperParameterTrainingJobSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterTrainingJobSummary

Associated Types

type Rep HyperParameterTrainingJobSummary :: Type -> Type #

Methods

from :: HyperParameterTrainingJobSummary -> Rep HyperParameterTrainingJobSummary x #

to :: Rep HyperParameterTrainingJobSummary x -> HyperParameterTrainingJobSummary #

Read HyperParameterTrainingJobSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterTrainingJobSummary

Methods

readsPrec :: Int -> ReadS HyperParameterTrainingJobSummary #

readList :: ReadS [HyperParameterTrainingJobSummary] #

readPrec :: ReadPrec HyperParameterTrainingJobSummary #

readListPrec :: ReadPrec [HyperParameterTrainingJobSummary] #

Show HyperParameterTrainingJobSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterTrainingJobSummary

Methods

showsPrec :: Int -> HyperParameterTrainingJobSummary -> ShowS #

show :: HyperParameterTrainingJobSummary -> String #

showList :: [HyperParameterTrainingJobSummary] -> ShowS #

NFData HyperParameterTrainingJobSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterTrainingJobSummary

Methods

rnf :: HyperParameterTrainingJobSummary -> () #

Eq HyperParameterTrainingJobSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterTrainingJobSummary

Methods

(==) :: HyperParameterTrainingJobSummary -> HyperParameterTrainingJobSummary -> Bool #

(/=) :: HyperParameterTrainingJobSummary -> HyperParameterTrainingJobSummary -> Bool #

Hashable HyperParameterTrainingJobSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterTrainingJobSummary

Methods

hashWithSalt :: Int -> HyperParameterTrainingJobSummary -> Int #

hash :: HyperParameterTrainingJobSummary -> Int #

type Rep HyperParameterTrainingJobSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterTrainingJobSummary

type Rep HyperParameterTrainingJobSummary = D1 ('MetaData "HyperParameterTrainingJobSummary" "Amazonka.SageMaker.Types.HyperParameterTrainingJobSummary" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "HyperParameterTrainingJobSummary'" 'PrefixI 'True) (((S1 ('MetaSel ('Just "failureReason") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: (S1 ('MetaSel ('Just "finalHyperParameterTuningJobObjectiveMetric") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe FinalHyperParameterTuningJobObjectiveMetric)) :*: S1 ('MetaSel ('Just "objectiveStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ObjectiveStatus)))) :*: (S1 ('MetaSel ('Just "trainingEndTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :*: (S1 ('MetaSel ('Just "trainingJobDefinitionName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "trainingStartTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX))))) :*: ((S1 ('MetaSel ('Just "tuningJobName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: (S1 ('MetaSel ('Just "trainingJobName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: S1 ('MetaSel ('Just "trainingJobArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text))) :*: (S1 ('MetaSel ('Just "creationTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 POSIX) :*: (S1 ('MetaSel ('Just "trainingJobStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 TrainingJobStatus) :*: S1 ('MetaSel ('Just "tunedHyperParameters") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (HashMap Text Text)))))))

newHyperParameterTrainingJobSummary Source #

Arguments

:: Text

$sel:trainingJobName:HyperParameterTrainingJobSummary'

-> Text

$sel:trainingJobArn:HyperParameterTrainingJobSummary'

-> UTCTime

$sel:creationTime:HyperParameterTrainingJobSummary'

-> TrainingJobStatus

$sel:trainingJobStatus:HyperParameterTrainingJobSummary'

-> HyperParameterTrainingJobSummary 

Create a value of HyperParameterTrainingJobSummary with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:failureReason:HyperParameterTrainingJobSummary', hyperParameterTrainingJobSummary_failureReason - The reason that the training job failed.

$sel:finalHyperParameterTuningJobObjectiveMetric:HyperParameterTrainingJobSummary', hyperParameterTrainingJobSummary_finalHyperParameterTuningJobObjectiveMetric - The FinalHyperParameterTuningJobObjectiveMetric object that specifies the value of the objective metric of the tuning job that launched this training job.

$sel:objectiveStatus:HyperParameterTrainingJobSummary', hyperParameterTrainingJobSummary_objectiveStatus - The status of the objective metric for the training job:

  • Succeeded: The final objective metric for the training job was evaluated by the hyperparameter tuning job and used in the hyperparameter tuning process.
  • Pending: The training job is in progress and evaluation of its final objective metric is pending.
  • Failed: The final objective metric for the training job was not evaluated, and was not used in the hyperparameter tuning process. This typically occurs when the training job failed or did not emit an objective metric.

$sel:trainingEndTime:HyperParameterTrainingJobSummary', hyperParameterTrainingJobSummary_trainingEndTime - Specifies the time when the training job ends on training instances. You are billed for the time interval between the value of TrainingStartTime and this time. For successful jobs and stopped jobs, this is the time after model artifacts are uploaded. For failed jobs, this is the time when SageMaker detects a job failure.

$sel:trainingJobDefinitionName:HyperParameterTrainingJobSummary', hyperParameterTrainingJobSummary_trainingJobDefinitionName - The training job definition name.

$sel:trainingStartTime:HyperParameterTrainingJobSummary', hyperParameterTrainingJobSummary_trainingStartTime - The date and time that the training job started.

$sel:tuningJobName:HyperParameterTrainingJobSummary', hyperParameterTrainingJobSummary_tuningJobName - The HyperParameter tuning job that launched the training job.

$sel:trainingJobName:HyperParameterTrainingJobSummary', hyperParameterTrainingJobSummary_trainingJobName - The name of the training job.

$sel:trainingJobArn:HyperParameterTrainingJobSummary', hyperParameterTrainingJobSummary_trainingJobArn - The Amazon Resource Name (ARN) of the training job.

$sel:creationTime:HyperParameterTrainingJobSummary', hyperParameterTrainingJobSummary_creationTime - The date and time that the training job was created.

$sel:trainingJobStatus:HyperParameterTrainingJobSummary', hyperParameterTrainingJobSummary_trainingJobStatus - The status of the training job.

$sel:tunedHyperParameters:HyperParameterTrainingJobSummary', hyperParameterTrainingJobSummary_tunedHyperParameters - A list of the hyperparameters for which you specified ranges to search.

hyperParameterTrainingJobSummary_failureReason :: Lens' HyperParameterTrainingJobSummary (Maybe Text) Source #

The reason that the training job failed.

hyperParameterTrainingJobSummary_finalHyperParameterTuningJobObjectiveMetric :: Lens' HyperParameterTrainingJobSummary (Maybe FinalHyperParameterTuningJobObjectiveMetric) Source #

The FinalHyperParameterTuningJobObjectiveMetric object that specifies the value of the objective metric of the tuning job that launched this training job.

hyperParameterTrainingJobSummary_objectiveStatus :: Lens' HyperParameterTrainingJobSummary (Maybe ObjectiveStatus) Source #

The status of the objective metric for the training job:

  • Succeeded: The final objective metric for the training job was evaluated by the hyperparameter tuning job and used in the hyperparameter tuning process.
  • Pending: The training job is in progress and evaluation of its final objective metric is pending.
  • Failed: The final objective metric for the training job was not evaluated, and was not used in the hyperparameter tuning process. This typically occurs when the training job failed or did not emit an objective metric.

hyperParameterTrainingJobSummary_trainingEndTime :: Lens' HyperParameterTrainingJobSummary (Maybe UTCTime) Source #

Specifies the time when the training job ends on training instances. You are billed for the time interval between the value of TrainingStartTime and this time. For successful jobs and stopped jobs, this is the time after model artifacts are uploaded. For failed jobs, this is the time when SageMaker detects a job failure.

hyperParameterTrainingJobSummary_trainingJobDefinitionName :: Lens' HyperParameterTrainingJobSummary (Maybe Text) Source #

The training job definition name.

hyperParameterTrainingJobSummary_trainingStartTime :: Lens' HyperParameterTrainingJobSummary (Maybe UTCTime) Source #

The date and time that the training job started.

hyperParameterTrainingJobSummary_tuningJobName :: Lens' HyperParameterTrainingJobSummary (Maybe Text) Source #

The HyperParameter tuning job that launched the training job.

hyperParameterTrainingJobSummary_trainingJobName :: Lens' HyperParameterTrainingJobSummary Text Source #

The name of the training job.

hyperParameterTrainingJobSummary_trainingJobArn :: Lens' HyperParameterTrainingJobSummary Text Source #

The Amazon Resource Name (ARN) of the training job.

hyperParameterTrainingJobSummary_creationTime :: Lens' HyperParameterTrainingJobSummary UTCTime Source #

The date and time that the training job was created.

hyperParameterTrainingJobSummary_trainingJobStatus :: Lens' HyperParameterTrainingJobSummary TrainingJobStatus Source #

The status of the training job.

hyperParameterTrainingJobSummary_tunedHyperParameters :: Lens' HyperParameterTrainingJobSummary (HashMap Text Text) Source #

A list of the hyperparameters for which you specified ranges to search.

HyperParameterTuningInstanceConfig

data HyperParameterTuningInstanceConfig Source #

The configuration for hyperparameter tuning resources for use in training jobs launched by the tuning job. These resources include compute instances and storage volumes. Specify one or more compute instance configurations and allocation strategies to select resources (optional).

See: newHyperParameterTuningInstanceConfig smart constructor.

Constructors

HyperParameterTuningInstanceConfig' 

Fields

  • instanceType :: TrainingInstanceType

    The instance type used for processing of hyperparameter optimization jobs. Choose from general purpose (no GPUs) instance types: ml.m5.xlarge, ml.m5.2xlarge, and ml.m5.4xlarge or compute optimized (no GPUs) instance types: ml.c5.xlarge and ml.c5.2xlarge. For more information about instance types, see instance type descriptions.

  • instanceCount :: Natural

    The number of instances of the type specified by InstanceType. Choose an instance count larger than 1 for distributed training algorithms. See SageMaker distributed training jobs for more informcration.

  • volumeSizeInGB :: Natural

    The volume size in GB of the data to be processed for hyperparameter optimization (optional).

Instances

Instances details
FromJSON HyperParameterTuningInstanceConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterTuningInstanceConfig

Methods

parseJSON :: Value -> Parser HyperParameterTuningInstanceConfig #

parseJSONList :: Value -> Parser [HyperParameterTuningInstanceConfig] #

ToJSON HyperParameterTuningInstanceConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterTuningInstanceConfig

Methods

toJSON :: HyperParameterTuningInstanceConfig -> Value #

toEncoding :: HyperParameterTuningInstanceConfig -> Encoding #

toJSONList :: [HyperParameterTuningInstanceConfig] -> Value #

toEncodingList :: [HyperParameterTuningInstanceConfig] -> Encoding #

Generic HyperParameterTuningInstanceConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterTuningInstanceConfig

Associated Types

type Rep HyperParameterTuningInstanceConfig :: Type -> Type #

Methods

from :: HyperParameterTuningInstanceConfig -> Rep HyperParameterTuningInstanceConfig x #

to :: Rep HyperParameterTuningInstanceConfig x -> HyperParameterTuningInstanceConfig #

Read HyperParameterTuningInstanceConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterTuningInstanceConfig

Methods

readsPrec :: Int -> ReadS HyperParameterTuningInstanceConfig #

readList :: ReadS [HyperParameterTuningInstanceConfig] #

readPrec :: ReadPrec HyperParameterTuningInstanceConfig #

readListPrec :: ReadPrec [HyperParameterTuningInstanceConfig] #

Show HyperParameterTuningInstanceConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterTuningInstanceConfig

Methods

showsPrec :: Int -> HyperParameterTuningInstanceConfig -> ShowS #

show :: HyperParameterTuningInstanceConfig -> String #

showList :: [HyperParameterTuningInstanceConfig] -> ShowS #

NFData HyperParameterTuningInstanceConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterTuningInstanceConfig

Methods

rnf :: HyperParameterTuningInstanceConfig -> () #

Eq HyperParameterTuningInstanceConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterTuningInstanceConfig

Methods

(==) :: HyperParameterTuningInstanceConfig -> HyperParameterTuningInstanceConfig -> Bool #

(/=) :: HyperParameterTuningInstanceConfig -> HyperParameterTuningInstanceConfig -> Bool #

Hashable HyperParameterTuningInstanceConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterTuningInstanceConfig

Methods

hashWithSalt :: Int -> HyperParameterTuningInstanceConfig -> Int #

hash :: HyperParameterTuningInstanceConfig -> Int #

type Rep HyperParameterTuningInstanceConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterTuningInstanceConfig

type Rep HyperParameterTuningInstanceConfig = D1 ('MetaData "HyperParameterTuningInstanceConfig" "Amazonka.SageMaker.Types.HyperParameterTuningInstanceConfig" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "HyperParameterTuningInstanceConfig'" 'PrefixI 'True) (S1 ('MetaSel ('Just "instanceType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 TrainingInstanceType) :*: (S1 ('MetaSel ('Just "instanceCount") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Natural) :*: S1 ('MetaSel ('Just "volumeSizeInGB") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Natural))))

newHyperParameterTuningInstanceConfig Source #

Arguments

:: TrainingInstanceType

$sel:instanceType:HyperParameterTuningInstanceConfig'

-> Natural

$sel:instanceCount:HyperParameterTuningInstanceConfig'

-> Natural

$sel:volumeSizeInGB:HyperParameterTuningInstanceConfig'

-> HyperParameterTuningInstanceConfig 

Create a value of HyperParameterTuningInstanceConfig with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:instanceType:HyperParameterTuningInstanceConfig', hyperParameterTuningInstanceConfig_instanceType - The instance type used for processing of hyperparameter optimization jobs. Choose from general purpose (no GPUs) instance types: ml.m5.xlarge, ml.m5.2xlarge, and ml.m5.4xlarge or compute optimized (no GPUs) instance types: ml.c5.xlarge and ml.c5.2xlarge. For more information about instance types, see instance type descriptions.

$sel:instanceCount:HyperParameterTuningInstanceConfig', hyperParameterTuningInstanceConfig_instanceCount - The number of instances of the type specified by InstanceType. Choose an instance count larger than 1 for distributed training algorithms. See SageMaker distributed training jobs for more informcration.

$sel:volumeSizeInGB:HyperParameterTuningInstanceConfig', hyperParameterTuningInstanceConfig_volumeSizeInGB - The volume size in GB of the data to be processed for hyperparameter optimization (optional).

hyperParameterTuningInstanceConfig_instanceType :: Lens' HyperParameterTuningInstanceConfig TrainingInstanceType Source #

The instance type used for processing of hyperparameter optimization jobs. Choose from general purpose (no GPUs) instance types: ml.m5.xlarge, ml.m5.2xlarge, and ml.m5.4xlarge or compute optimized (no GPUs) instance types: ml.c5.xlarge and ml.c5.2xlarge. For more information about instance types, see instance type descriptions.

hyperParameterTuningInstanceConfig_instanceCount :: Lens' HyperParameterTuningInstanceConfig Natural Source #

The number of instances of the type specified by InstanceType. Choose an instance count larger than 1 for distributed training algorithms. See SageMaker distributed training jobs for more informcration.

hyperParameterTuningInstanceConfig_volumeSizeInGB :: Lens' HyperParameterTuningInstanceConfig Natural Source #

The volume size in GB of the data to be processed for hyperparameter optimization (optional).

HyperParameterTuningJobConfig

data HyperParameterTuningJobConfig Source #

Configures a hyperparameter tuning job.

See: newHyperParameterTuningJobConfig smart constructor.

Constructors

HyperParameterTuningJobConfig' 

Fields

  • hyperParameterTuningJobObjective :: Maybe HyperParameterTuningJobObjective

    The HyperParameterTuningJobObjective specifies the objective metric used to evaluate the performance of training jobs launched by this tuning job.

  • parameterRanges :: Maybe ParameterRanges

    The ParameterRanges object that specifies the ranges of hyperparameters that this tuning job searches over to find the optimal configuration for the highest model performance against your chosen objective metric.

  • randomSeed :: Maybe Natural

    A value used to initialize a pseudo-random number generator. Setting a random seed and using the same seed later for the same tuning job will allow hyperparameter optimization to find more a consistent hyperparameter configuration between the two runs.

  • strategyConfig :: Maybe HyperParameterTuningJobStrategyConfig

    The configuration for the Hyperband optimization strategy. This parameter should be provided only if Hyperband is selected as the strategy for HyperParameterTuningJobConfig.

  • trainingJobEarlyStoppingType :: Maybe TrainingJobEarlyStoppingType

    Specifies whether to use early stopping for training jobs launched by the hyperparameter tuning job. Because the Hyperband strategy has its own advanced internal early stopping mechanism, TrainingJobEarlyStoppingType must be OFF to use Hyperband. This parameter can take on one of the following values (the default value is OFF):

    OFF
    Training jobs launched by the hyperparameter tuning job do not use early stopping.
    AUTO
    SageMaker stops training jobs launched by the hyperparameter tuning job when they are unlikely to perform better than previously completed training jobs. For more information, see Stop Training Jobs Early.
  • tuningJobCompletionCriteria :: Maybe TuningJobCompletionCriteria

    The tuning job's completion criteria.

  • strategy :: HyperParameterTuningJobStrategyType

    Specifies how hyperparameter tuning chooses the combinations of hyperparameter values to use for the training job it launches. For information about search strategies, see How Hyperparameter Tuning Works.

  • resourceLimits :: ResourceLimits

    The ResourceLimits object that specifies the maximum number of training and parallel training jobs that can be used for this hyperparameter tuning job.

Instances

Instances details
FromJSON HyperParameterTuningJobConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobConfig

Methods

parseJSON :: Value -> Parser HyperParameterTuningJobConfig #

parseJSONList :: Value -> Parser [HyperParameterTuningJobConfig] #

ToJSON HyperParameterTuningJobConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobConfig

Methods

toJSON :: HyperParameterTuningJobConfig -> Value #

toEncoding :: HyperParameterTuningJobConfig -> Encoding #

toJSONList :: [HyperParameterTuningJobConfig] -> Value #

toEncodingList :: [HyperParameterTuningJobConfig] -> Encoding #

Generic HyperParameterTuningJobConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobConfig

Associated Types

type Rep HyperParameterTuningJobConfig :: Type -> Type #

Methods

from :: HyperParameterTuningJobConfig -> Rep HyperParameterTuningJobConfig x #

to :: Rep HyperParameterTuningJobConfig x -> HyperParameterTuningJobConfig #

Read HyperParameterTuningJobConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobConfig

Methods

readsPrec :: Int -> ReadS HyperParameterTuningJobConfig #

readList :: ReadS [HyperParameterTuningJobConfig] #

readPrec :: ReadPrec HyperParameterTuningJobConfig #

readListPrec :: ReadPrec [HyperParameterTuningJobConfig] #

Show HyperParameterTuningJobConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobConfig

Methods

showsPrec :: Int -> HyperParameterTuningJobConfig -> ShowS #

show :: HyperParameterTuningJobConfig -> String #

showList :: [HyperParameterTuningJobConfig] -> ShowS #

NFData HyperParameterTuningJobConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobConfig

Methods

rnf :: HyperParameterTuningJobConfig -> () #

Eq HyperParameterTuningJobConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobConfig

Methods

(==) :: HyperParameterTuningJobConfig -> HyperParameterTuningJobConfig -> Bool #

(/=) :: HyperParameterTuningJobConfig -> HyperParameterTuningJobConfig -> Bool #

Hashable HyperParameterTuningJobConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobConfig

Methods

hashWithSalt :: Int -> HyperParameterTuningJobConfig -> Int #

hash :: HyperParameterTuningJobConfig -> Int #

type Rep HyperParameterTuningJobConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobConfig

type Rep HyperParameterTuningJobConfig = D1 ('MetaData "HyperParameterTuningJobConfig" "Amazonka.SageMaker.Types.HyperParameterTuningJobConfig" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "HyperParameterTuningJobConfig'" 'PrefixI 'True) (((S1 ('MetaSel ('Just "hyperParameterTuningJobObjective") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe HyperParameterTuningJobObjective)) :*: S1 ('MetaSel ('Just "parameterRanges") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ParameterRanges))) :*: (S1 ('MetaSel ('Just "randomSeed") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural)) :*: S1 ('MetaSel ('Just "strategyConfig") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe HyperParameterTuningJobStrategyConfig)))) :*: ((S1 ('MetaSel ('Just "trainingJobEarlyStoppingType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe TrainingJobEarlyStoppingType)) :*: S1 ('MetaSel ('Just "tuningJobCompletionCriteria") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe TuningJobCompletionCriteria))) :*: (S1 ('MetaSel ('Just "strategy") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 HyperParameterTuningJobStrategyType) :*: S1 ('MetaSel ('Just "resourceLimits") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 ResourceLimits)))))

newHyperParameterTuningJobConfig Source #

Arguments

:: HyperParameterTuningJobStrategyType

$sel:strategy:HyperParameterTuningJobConfig'

-> ResourceLimits

$sel:resourceLimits:HyperParameterTuningJobConfig'

-> HyperParameterTuningJobConfig 

Create a value of HyperParameterTuningJobConfig with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:hyperParameterTuningJobObjective:HyperParameterTuningJobConfig', hyperParameterTuningJobConfig_hyperParameterTuningJobObjective - The HyperParameterTuningJobObjective specifies the objective metric used to evaluate the performance of training jobs launched by this tuning job.

$sel:parameterRanges:HyperParameterTuningJobConfig', hyperParameterTuningJobConfig_parameterRanges - The ParameterRanges object that specifies the ranges of hyperparameters that this tuning job searches over to find the optimal configuration for the highest model performance against your chosen objective metric.

$sel:randomSeed:HyperParameterTuningJobConfig', hyperParameterTuningJobConfig_randomSeed - A value used to initialize a pseudo-random number generator. Setting a random seed and using the same seed later for the same tuning job will allow hyperparameter optimization to find more a consistent hyperparameter configuration between the two runs.

$sel:strategyConfig:HyperParameterTuningJobConfig', hyperParameterTuningJobConfig_strategyConfig - The configuration for the Hyperband optimization strategy. This parameter should be provided only if Hyperband is selected as the strategy for HyperParameterTuningJobConfig.

$sel:trainingJobEarlyStoppingType:HyperParameterTuningJobConfig', hyperParameterTuningJobConfig_trainingJobEarlyStoppingType - Specifies whether to use early stopping for training jobs launched by the hyperparameter tuning job. Because the Hyperband strategy has its own advanced internal early stopping mechanism, TrainingJobEarlyStoppingType must be OFF to use Hyperband. This parameter can take on one of the following values (the default value is OFF):

OFF
Training jobs launched by the hyperparameter tuning job do not use early stopping.
AUTO
SageMaker stops training jobs launched by the hyperparameter tuning job when they are unlikely to perform better than previously completed training jobs. For more information, see Stop Training Jobs Early.

$sel:tuningJobCompletionCriteria:HyperParameterTuningJobConfig', hyperParameterTuningJobConfig_tuningJobCompletionCriteria - The tuning job's completion criteria.

$sel:strategy:HyperParameterTuningJobConfig', hyperParameterTuningJobConfig_strategy - Specifies how hyperparameter tuning chooses the combinations of hyperparameter values to use for the training job it launches. For information about search strategies, see How Hyperparameter Tuning Works.

$sel:resourceLimits:HyperParameterTuningJobConfig', hyperParameterTuningJobConfig_resourceLimits - The ResourceLimits object that specifies the maximum number of training and parallel training jobs that can be used for this hyperparameter tuning job.

hyperParameterTuningJobConfig_hyperParameterTuningJobObjective :: Lens' HyperParameterTuningJobConfig (Maybe HyperParameterTuningJobObjective) Source #

The HyperParameterTuningJobObjective specifies the objective metric used to evaluate the performance of training jobs launched by this tuning job.

hyperParameterTuningJobConfig_parameterRanges :: Lens' HyperParameterTuningJobConfig (Maybe ParameterRanges) Source #

The ParameterRanges object that specifies the ranges of hyperparameters that this tuning job searches over to find the optimal configuration for the highest model performance against your chosen objective metric.

hyperParameterTuningJobConfig_randomSeed :: Lens' HyperParameterTuningJobConfig (Maybe Natural) Source #

A value used to initialize a pseudo-random number generator. Setting a random seed and using the same seed later for the same tuning job will allow hyperparameter optimization to find more a consistent hyperparameter configuration between the two runs.

hyperParameterTuningJobConfig_strategyConfig :: Lens' HyperParameterTuningJobConfig (Maybe HyperParameterTuningJobStrategyConfig) Source #

The configuration for the Hyperband optimization strategy. This parameter should be provided only if Hyperband is selected as the strategy for HyperParameterTuningJobConfig.

hyperParameterTuningJobConfig_trainingJobEarlyStoppingType :: Lens' HyperParameterTuningJobConfig (Maybe TrainingJobEarlyStoppingType) Source #

Specifies whether to use early stopping for training jobs launched by the hyperparameter tuning job. Because the Hyperband strategy has its own advanced internal early stopping mechanism, TrainingJobEarlyStoppingType must be OFF to use Hyperband. This parameter can take on one of the following values (the default value is OFF):

OFF
Training jobs launched by the hyperparameter tuning job do not use early stopping.
AUTO
SageMaker stops training jobs launched by the hyperparameter tuning job when they are unlikely to perform better than previously completed training jobs. For more information, see Stop Training Jobs Early.

hyperParameterTuningJobConfig_tuningJobCompletionCriteria :: Lens' HyperParameterTuningJobConfig (Maybe TuningJobCompletionCriteria) Source #

The tuning job's completion criteria.

hyperParameterTuningJobConfig_strategy :: Lens' HyperParameterTuningJobConfig HyperParameterTuningJobStrategyType Source #

Specifies how hyperparameter tuning chooses the combinations of hyperparameter values to use for the training job it launches. For information about search strategies, see How Hyperparameter Tuning Works.

hyperParameterTuningJobConfig_resourceLimits :: Lens' HyperParameterTuningJobConfig ResourceLimits Source #

The ResourceLimits object that specifies the maximum number of training and parallel training jobs that can be used for this hyperparameter tuning job.

HyperParameterTuningJobObjective

data HyperParameterTuningJobObjective Source #

Defines the objective metric for a hyperparameter tuning job. Hyperparameter tuning uses the value of this metric to evaluate the training jobs it launches, and returns the training job that results in either the highest or lowest value for this metric, depending on the value you specify for the Type parameter.

See: newHyperParameterTuningJobObjective smart constructor.

Constructors

HyperParameterTuningJobObjective' 

Fields

Instances

Instances details
FromJSON HyperParameterTuningJobObjective Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobObjective

Methods

parseJSON :: Value -> Parser HyperParameterTuningJobObjective #

parseJSONList :: Value -> Parser [HyperParameterTuningJobObjective] #

ToJSON HyperParameterTuningJobObjective Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobObjective

Methods

toJSON :: HyperParameterTuningJobObjective -> Value #

toEncoding :: HyperParameterTuningJobObjective -> Encoding #

toJSONList :: [HyperParameterTuningJobObjective] -> Value #

toEncodingList :: [HyperParameterTuningJobObjective] -> Encoding #

Generic HyperParameterTuningJobObjective Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobObjective

Associated Types

type Rep HyperParameterTuningJobObjective :: Type -> Type #

Methods

from :: HyperParameterTuningJobObjective -> Rep HyperParameterTuningJobObjective x #

to :: Rep HyperParameterTuningJobObjective x -> HyperParameterTuningJobObjective #

Read HyperParameterTuningJobObjective Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobObjective

Methods

readsPrec :: Int -> ReadS HyperParameterTuningJobObjective #

readList :: ReadS [HyperParameterTuningJobObjective] #

readPrec :: ReadPrec HyperParameterTuningJobObjective #

readListPrec :: ReadPrec [HyperParameterTuningJobObjective] #

Show HyperParameterTuningJobObjective Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobObjective

Methods

showsPrec :: Int -> HyperParameterTuningJobObjective -> ShowS #

show :: HyperParameterTuningJobObjective -> String #

showList :: [HyperParameterTuningJobObjective] -> ShowS #

NFData HyperParameterTuningJobObjective Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobObjective

Methods

rnf :: HyperParameterTuningJobObjective -> () #

Eq HyperParameterTuningJobObjective Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobObjective

Methods

(==) :: HyperParameterTuningJobObjective -> HyperParameterTuningJobObjective -> Bool #

(/=) :: HyperParameterTuningJobObjective -> HyperParameterTuningJobObjective -> Bool #

Hashable HyperParameterTuningJobObjective Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobObjective

Methods

hashWithSalt :: Int -> HyperParameterTuningJobObjective -> Int #

hash :: HyperParameterTuningJobObjective -> Int #

type Rep HyperParameterTuningJobObjective Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobObjective

type Rep HyperParameterTuningJobObjective = D1 ('MetaData "HyperParameterTuningJobObjective" "Amazonka.SageMaker.Types.HyperParameterTuningJobObjective" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "HyperParameterTuningJobObjective'" 'PrefixI 'True) (S1 ('MetaSel ('Just "type'") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 HyperParameterTuningJobObjectiveType) :*: S1 ('MetaSel ('Just "metricName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))

newHyperParameterTuningJobObjective Source #

Arguments

:: HyperParameterTuningJobObjectiveType

$sel:type':HyperParameterTuningJobObjective'

-> Text

$sel:metricName:HyperParameterTuningJobObjective'

-> HyperParameterTuningJobObjective 

Create a value of HyperParameterTuningJobObjective with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:type':HyperParameterTuningJobObjective', hyperParameterTuningJobObjective_type - Whether to minimize or maximize the objective metric.

$sel:metricName:HyperParameterTuningJobObjective', hyperParameterTuningJobObjective_metricName - The name of the metric to use for the objective metric.

hyperParameterTuningJobObjective_type :: Lens' HyperParameterTuningJobObjective HyperParameterTuningJobObjectiveType Source #

Whether to minimize or maximize the objective metric.

hyperParameterTuningJobObjective_metricName :: Lens' HyperParameterTuningJobObjective Text Source #

The name of the metric to use for the objective metric.

HyperParameterTuningJobSearchEntity

data HyperParameterTuningJobSearchEntity Source #

An entity returned by the SearchRecord API containing the properties of a hyperparameter tuning job.

See: newHyperParameterTuningJobSearchEntity smart constructor.

Constructors

HyperParameterTuningJobSearchEntity' 

Fields

Instances

Instances details
FromJSON HyperParameterTuningJobSearchEntity Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobSearchEntity

Methods

parseJSON :: Value -> Parser HyperParameterTuningJobSearchEntity #

parseJSONList :: Value -> Parser [HyperParameterTuningJobSearchEntity] #

Generic HyperParameterTuningJobSearchEntity Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobSearchEntity

Associated Types

type Rep HyperParameterTuningJobSearchEntity :: Type -> Type #

Methods

from :: HyperParameterTuningJobSearchEntity -> Rep HyperParameterTuningJobSearchEntity x #

to :: Rep HyperParameterTuningJobSearchEntity x -> HyperParameterTuningJobSearchEntity #

Read HyperParameterTuningJobSearchEntity Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobSearchEntity

Methods

readsPrec :: Int -> ReadS HyperParameterTuningJobSearchEntity #

readList :: ReadS [HyperParameterTuningJobSearchEntity] #

readPrec :: ReadPrec HyperParameterTuningJobSearchEntity #

readListPrec :: ReadPrec [HyperParameterTuningJobSearchEntity] #

Show HyperParameterTuningJobSearchEntity Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobSearchEntity

Methods

showsPrec :: Int -> HyperParameterTuningJobSearchEntity -> ShowS #

show :: HyperParameterTuningJobSearchEntity -> String #

showList :: [HyperParameterTuningJobSearchEntity] -> ShowS #

NFData HyperParameterTuningJobSearchEntity Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobSearchEntity

Methods

rnf :: HyperParameterTuningJobSearchEntity -> () #

Eq HyperParameterTuningJobSearchEntity Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobSearchEntity

Methods

(==) :: HyperParameterTuningJobSearchEntity -> HyperParameterTuningJobSearchEntity -> Bool #

(/=) :: HyperParameterTuningJobSearchEntity -> HyperParameterTuningJobSearchEntity -> Bool #

Hashable HyperParameterTuningJobSearchEntity Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobSearchEntity

Methods

hashWithSalt :: Int -> HyperParameterTuningJobSearchEntity -> Int #

hash :: HyperParameterTuningJobSearchEntity -> Int #

type Rep HyperParameterTuningJobSearchEntity Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobSearchEntity

type Rep HyperParameterTuningJobSearchEntity = D1 ('MetaData "HyperParameterTuningJobSearchEntity" "Amazonka.SageMaker.Types.HyperParameterTuningJobSearchEntity" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "HyperParameterTuningJobSearchEntity'" 'PrefixI 'True) ((((S1 ('MetaSel ('Just "bestTrainingJob") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe HyperParameterTrainingJobSummary)) :*: S1 ('MetaSel ('Just "creationTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX))) :*: (S1 ('MetaSel ('Just "failureReason") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "hyperParameterTuningEndTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)))) :*: ((S1 ('MetaSel ('Just "hyperParameterTuningJobArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "hyperParameterTuningJobConfig") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe HyperParameterTuningJobConfig))) :*: (S1 ('MetaSel ('Just "hyperParameterTuningJobName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "hyperParameterTuningJobStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe HyperParameterTuningJobStatus))))) :*: (((S1 ('MetaSel ('Just "lastModifiedTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :*: S1 ('MetaSel ('Just "objectiveStatusCounters") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ObjectiveStatusCounters))) :*: (S1 ('MetaSel ('Just "overallBestTrainingJob") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe HyperParameterTrainingJobSummary)) :*: S1 ('MetaSel ('Just "tags") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [Tag])))) :*: ((S1 ('MetaSel ('Just "trainingJobDefinition") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe HyperParameterTrainingJobDefinition)) :*: S1 ('MetaSel ('Just "trainingJobDefinitions") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe (NonEmpty HyperParameterTrainingJobDefinition)))) :*: (S1 ('MetaSel ('Just "trainingJobStatusCounters") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe TrainingJobStatusCounters)) :*: S1 ('MetaSel ('Just "warmStartConfig") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe HyperParameterTuningJobWarmStartConfig)))))))

newHyperParameterTuningJobSearchEntity :: HyperParameterTuningJobSearchEntity Source #

Create a value of HyperParameterTuningJobSearchEntity with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:bestTrainingJob:HyperParameterTuningJobSearchEntity', hyperParameterTuningJobSearchEntity_bestTrainingJob - Undocumented member.

HyperParameterTuningJobSearchEntity, hyperParameterTuningJobSearchEntity_creationTime - The time that a hyperparameter tuning job was created.

HyperParameterTuningJobSearchEntity, hyperParameterTuningJobSearchEntity_failureReason - The error that was created when a hyperparameter tuning job failed.

$sel:hyperParameterTuningEndTime:HyperParameterTuningJobSearchEntity', hyperParameterTuningJobSearchEntity_hyperParameterTuningEndTime - The time that a hyperparameter tuning job ended.

$sel:hyperParameterTuningJobArn:HyperParameterTuningJobSearchEntity', hyperParameterTuningJobSearchEntity_hyperParameterTuningJobArn - The Amazon Resource Name (ARN) of a hyperparameter tuning job.

$sel:hyperParameterTuningJobConfig:HyperParameterTuningJobSearchEntity', hyperParameterTuningJobSearchEntity_hyperParameterTuningJobConfig - Undocumented member.

$sel:hyperParameterTuningJobName:HyperParameterTuningJobSearchEntity', hyperParameterTuningJobSearchEntity_hyperParameterTuningJobName - The name of a hyperparameter tuning job.

$sel:hyperParameterTuningJobStatus:HyperParameterTuningJobSearchEntity', hyperParameterTuningJobSearchEntity_hyperParameterTuningJobStatus - The status of a hyperparameter tuning job.

$sel:lastModifiedTime:HyperParameterTuningJobSearchEntity', hyperParameterTuningJobSearchEntity_lastModifiedTime - The time that a hyperparameter tuning job was last modified.

$sel:objectiveStatusCounters:HyperParameterTuningJobSearchEntity', hyperParameterTuningJobSearchEntity_objectiveStatusCounters - Undocumented member.

$sel:overallBestTrainingJob:HyperParameterTuningJobSearchEntity', hyperParameterTuningJobSearchEntity_overallBestTrainingJob - Undocumented member.

$sel:tags:HyperParameterTuningJobSearchEntity', hyperParameterTuningJobSearchEntity_tags - The tags associated with a hyperparameter tuning job. For more information see Tagging Amazon Web Services resources.

$sel:trainingJobDefinition:HyperParameterTuningJobSearchEntity', hyperParameterTuningJobSearchEntity_trainingJobDefinition - Undocumented member.

$sel:trainingJobDefinitions:HyperParameterTuningJobSearchEntity', hyperParameterTuningJobSearchEntity_trainingJobDefinitions - The job definitions included in a hyperparameter tuning job.

$sel:trainingJobStatusCounters:HyperParameterTuningJobSearchEntity', hyperParameterTuningJobSearchEntity_trainingJobStatusCounters - Undocumented member.

$sel:warmStartConfig:HyperParameterTuningJobSearchEntity', hyperParameterTuningJobSearchEntity_warmStartConfig - Undocumented member.

hyperParameterTuningJobSearchEntity_bestTrainingJob :: Lens' HyperParameterTuningJobSearchEntity (Maybe HyperParameterTrainingJobSummary) Source #

Undocumented member.

hyperParameterTuningJobSearchEntity_creationTime :: Lens' HyperParameterTuningJobSearchEntity (Maybe UTCTime) Source #

The time that a hyperparameter tuning job was created.

hyperParameterTuningJobSearchEntity_failureReason :: Lens' HyperParameterTuningJobSearchEntity (Maybe Text) Source #

The error that was created when a hyperparameter tuning job failed.

hyperParameterTuningJobSearchEntity_hyperParameterTuningEndTime :: Lens' HyperParameterTuningJobSearchEntity (Maybe UTCTime) Source #

The time that a hyperparameter tuning job ended.

hyperParameterTuningJobSearchEntity_hyperParameterTuningJobArn :: Lens' HyperParameterTuningJobSearchEntity (Maybe Text) Source #

The Amazon Resource Name (ARN) of a hyperparameter tuning job.

hyperParameterTuningJobSearchEntity_hyperParameterTuningJobConfig :: Lens' HyperParameterTuningJobSearchEntity (Maybe HyperParameterTuningJobConfig) Source #

Undocumented member.

hyperParameterTuningJobSearchEntity_hyperParameterTuningJobName :: Lens' HyperParameterTuningJobSearchEntity (Maybe Text) Source #

The name of a hyperparameter tuning job.

hyperParameterTuningJobSearchEntity_hyperParameterTuningJobStatus :: Lens' HyperParameterTuningJobSearchEntity (Maybe HyperParameterTuningJobStatus) Source #

The status of a hyperparameter tuning job.

hyperParameterTuningJobSearchEntity_lastModifiedTime :: Lens' HyperParameterTuningJobSearchEntity (Maybe UTCTime) Source #

The time that a hyperparameter tuning job was last modified.

hyperParameterTuningJobSearchEntity_objectiveStatusCounters :: Lens' HyperParameterTuningJobSearchEntity (Maybe ObjectiveStatusCounters) Source #

Undocumented member.

hyperParameterTuningJobSearchEntity_overallBestTrainingJob :: Lens' HyperParameterTuningJobSearchEntity (Maybe HyperParameterTrainingJobSummary) Source #

Undocumented member.

hyperParameterTuningJobSearchEntity_tags :: Lens' HyperParameterTuningJobSearchEntity (Maybe [Tag]) Source #

The tags associated with a hyperparameter tuning job. For more information see Tagging Amazon Web Services resources.

hyperParameterTuningJobSearchEntity_trainingJobDefinition :: Lens' HyperParameterTuningJobSearchEntity (Maybe HyperParameterTrainingJobDefinition) Source #

Undocumented member.

hyperParameterTuningJobSearchEntity_trainingJobDefinitions :: Lens' HyperParameterTuningJobSearchEntity (Maybe (NonEmpty HyperParameterTrainingJobDefinition)) Source #

The job definitions included in a hyperparameter tuning job.

hyperParameterTuningJobSearchEntity_trainingJobStatusCounters :: Lens' HyperParameterTuningJobSearchEntity (Maybe TrainingJobStatusCounters) Source #

Undocumented member.

hyperParameterTuningJobSearchEntity_warmStartConfig :: Lens' HyperParameterTuningJobSearchEntity (Maybe HyperParameterTuningJobWarmStartConfig) Source #

Undocumented member.

HyperParameterTuningJobStrategyConfig

data HyperParameterTuningJobStrategyConfig Source #

The configuration for a training job launched by a hyperparameter tuning job. Choose Bayesian for Bayesian optimization, and Random for random search optimization. For more advanced use cases, use Hyperband, which evaluates objective metrics for training jobs after every epoch. For more information about strategies, see How Hyperparameter Tuning Works.

See: newHyperParameterTuningJobStrategyConfig smart constructor.

Constructors

HyperParameterTuningJobStrategyConfig' 

Fields

Instances

Instances details
FromJSON HyperParameterTuningJobStrategyConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobStrategyConfig

Methods

parseJSON :: Value -> Parser HyperParameterTuningJobStrategyConfig #

parseJSONList :: Value -> Parser [HyperParameterTuningJobStrategyConfig] #

ToJSON HyperParameterTuningJobStrategyConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobStrategyConfig

Methods

toJSON :: HyperParameterTuningJobStrategyConfig -> Value #

toEncoding :: HyperParameterTuningJobStrategyConfig -> Encoding #

toJSONList :: [HyperParameterTuningJobStrategyConfig] -> Value #

toEncodingList :: [HyperParameterTuningJobStrategyConfig] -> Encoding #

Generic HyperParameterTuningJobStrategyConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobStrategyConfig

Associated Types

type Rep HyperParameterTuningJobStrategyConfig :: Type -> Type #

Methods

from :: HyperParameterTuningJobStrategyConfig -> Rep HyperParameterTuningJobStrategyConfig x #

to :: Rep HyperParameterTuningJobStrategyConfig x -> HyperParameterTuningJobStrategyConfig #

Read HyperParameterTuningJobStrategyConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobStrategyConfig

Methods

readsPrec :: Int -> ReadS HyperParameterTuningJobStrategyConfig #

readList :: ReadS [HyperParameterTuningJobStrategyConfig] #

readPrec :: ReadPrec HyperParameterTuningJobStrategyConfig #

readListPrec :: ReadPrec [HyperParameterTuningJobStrategyConfig] #

Show HyperParameterTuningJobStrategyConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobStrategyConfig

Methods

showsPrec :: Int -> HyperParameterTuningJobStrategyConfig -> ShowS #

show :: HyperParameterTuningJobStrategyConfig -> String #

showList :: [HyperParameterTuningJobStrategyConfig] -> ShowS #

NFData HyperParameterTuningJobStrategyConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobStrategyConfig

Methods

rnf :: HyperParameterTuningJobStrategyConfig -> () #

Eq HyperParameterTuningJobStrategyConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobStrategyConfig

Methods

(==) :: HyperParameterTuningJobStrategyConfig -> HyperParameterTuningJobStrategyConfig -> Bool #

(/=) :: HyperParameterTuningJobStrategyConfig -> HyperParameterTuningJobStrategyConfig -> Bool #

Hashable HyperParameterTuningJobStrategyConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobStrategyConfig

Methods

hashWithSalt :: Int -> HyperParameterTuningJobStrategyConfig -> Int #

hash :: HyperParameterTuningJobStrategyConfig -> Int #

type Rep HyperParameterTuningJobStrategyConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobStrategyConfig

type Rep HyperParameterTuningJobStrategyConfig = D1 ('MetaData "HyperParameterTuningJobStrategyConfig" "Amazonka.SageMaker.Types.HyperParameterTuningJobStrategyConfig" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "HyperParameterTuningJobStrategyConfig'" 'PrefixI 'True) (S1 ('MetaSel ('Just "hyperbandStrategyConfig") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe HyperbandStrategyConfig))))

newHyperParameterTuningJobStrategyConfig :: HyperParameterTuningJobStrategyConfig Source #

Create a value of HyperParameterTuningJobStrategyConfig with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:hyperbandStrategyConfig:HyperParameterTuningJobStrategyConfig', hyperParameterTuningJobStrategyConfig_hyperbandStrategyConfig - The configuration for the object that specifies the Hyperband strategy. This parameter is only supported for the Hyperband selection for Strategy within the HyperParameterTuningJobConfig API.

hyperParameterTuningJobStrategyConfig_hyperbandStrategyConfig :: Lens' HyperParameterTuningJobStrategyConfig (Maybe HyperbandStrategyConfig) Source #

The configuration for the object that specifies the Hyperband strategy. This parameter is only supported for the Hyperband selection for Strategy within the HyperParameterTuningJobConfig API.

HyperParameterTuningJobSummary

data HyperParameterTuningJobSummary Source #

Provides summary information about a hyperparameter tuning job.

See: newHyperParameterTuningJobSummary smart constructor.

Constructors

HyperParameterTuningJobSummary' 

Fields

Instances

Instances details
FromJSON HyperParameterTuningJobSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobSummary

Methods

parseJSON :: Value -> Parser HyperParameterTuningJobSummary #

parseJSONList :: Value -> Parser [HyperParameterTuningJobSummary] #

Generic HyperParameterTuningJobSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobSummary

Associated Types

type Rep HyperParameterTuningJobSummary :: Type -> Type #

Methods

from :: HyperParameterTuningJobSummary -> Rep HyperParameterTuningJobSummary x #

to :: Rep HyperParameterTuningJobSummary x -> HyperParameterTuningJobSummary #

Read HyperParameterTuningJobSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobSummary

Methods

readsPrec :: Int -> ReadS HyperParameterTuningJobSummary #

readList :: ReadS [HyperParameterTuningJobSummary] #

readPrec :: ReadPrec HyperParameterTuningJobSummary #

readListPrec :: ReadPrec [HyperParameterTuningJobSummary] #

Show HyperParameterTuningJobSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobSummary

Methods

showsPrec :: Int -> HyperParameterTuningJobSummary -> ShowS #

show :: HyperParameterTuningJobSummary -> String #

showList :: [HyperParameterTuningJobSummary] -> ShowS #

NFData HyperParameterTuningJobSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobSummary

Methods

rnf :: HyperParameterTuningJobSummary -> () #

Eq HyperParameterTuningJobSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobSummary

Methods

(==) :: HyperParameterTuningJobSummary -> HyperParameterTuningJobSummary -> Bool #

(/=) :: HyperParameterTuningJobSummary -> HyperParameterTuningJobSummary -> Bool #

Hashable HyperParameterTuningJobSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobSummary

Methods

hashWithSalt :: Int -> HyperParameterTuningJobSummary -> Int #

hash :: HyperParameterTuningJobSummary -> Int #

type Rep HyperParameterTuningJobSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobSummary

type Rep HyperParameterTuningJobSummary = D1 ('MetaData "HyperParameterTuningJobSummary" "Amazonka.SageMaker.Types.HyperParameterTuningJobSummary" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "HyperParameterTuningJobSummary'" 'PrefixI 'True) (((S1 ('MetaSel ('Just "hyperParameterTuningEndTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :*: S1 ('MetaSel ('Just "lastModifiedTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX))) :*: (S1 ('MetaSel ('Just "resourceLimits") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ResourceLimits)) :*: (S1 ('MetaSel ('Just "hyperParameterTuningJobName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: S1 ('MetaSel ('Just "hyperParameterTuningJobArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))) :*: ((S1 ('MetaSel ('Just "hyperParameterTuningJobStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 HyperParameterTuningJobStatus) :*: S1 ('MetaSel ('Just "strategy") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 HyperParameterTuningJobStrategyType)) :*: (S1 ('MetaSel ('Just "creationTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 POSIX) :*: (S1 ('MetaSel ('Just "trainingJobStatusCounters") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 TrainingJobStatusCounters) :*: S1 ('MetaSel ('Just "objectiveStatusCounters") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 ObjectiveStatusCounters))))))

newHyperParameterTuningJobSummary Source #

Arguments

:: Text

$sel:hyperParameterTuningJobName:HyperParameterTuningJobSummary'

-> Text

$sel:hyperParameterTuningJobArn:HyperParameterTuningJobSummary'

-> HyperParameterTuningJobStatus

$sel:hyperParameterTuningJobStatus:HyperParameterTuningJobSummary'

-> HyperParameterTuningJobStrategyType

$sel:strategy:HyperParameterTuningJobSummary'

-> UTCTime

$sel:creationTime:HyperParameterTuningJobSummary'

-> TrainingJobStatusCounters

$sel:trainingJobStatusCounters:HyperParameterTuningJobSummary'

-> ObjectiveStatusCounters

$sel:objectiveStatusCounters:HyperParameterTuningJobSummary'

-> HyperParameterTuningJobSummary 

Create a value of HyperParameterTuningJobSummary with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:hyperParameterTuningEndTime:HyperParameterTuningJobSummary', hyperParameterTuningJobSummary_hyperParameterTuningEndTime - The date and time that the tuning job ended.

$sel:lastModifiedTime:HyperParameterTuningJobSummary', hyperParameterTuningJobSummary_lastModifiedTime - The date and time that the tuning job was modified.

$sel:resourceLimits:HyperParameterTuningJobSummary', hyperParameterTuningJobSummary_resourceLimits - The ResourceLimits object that specifies the maximum number of training jobs and parallel training jobs allowed for this tuning job.

$sel:hyperParameterTuningJobName:HyperParameterTuningJobSummary', hyperParameterTuningJobSummary_hyperParameterTuningJobName - The name of the tuning job.

$sel:hyperParameterTuningJobArn:HyperParameterTuningJobSummary', hyperParameterTuningJobSummary_hyperParameterTuningJobArn - The Amazon Resource Name (ARN) of the tuning job.

$sel:hyperParameterTuningJobStatus:HyperParameterTuningJobSummary', hyperParameterTuningJobSummary_hyperParameterTuningJobStatus - The status of the tuning job.

$sel:strategy:HyperParameterTuningJobSummary', hyperParameterTuningJobSummary_strategy - Specifies the search strategy hyperparameter tuning uses to choose which hyperparameters to evaluate at each iteration.

$sel:creationTime:HyperParameterTuningJobSummary', hyperParameterTuningJobSummary_creationTime - The date and time that the tuning job was created.

$sel:trainingJobStatusCounters:HyperParameterTuningJobSummary', hyperParameterTuningJobSummary_trainingJobStatusCounters - The TrainingJobStatusCounters object that specifies the numbers of training jobs, categorized by status, that this tuning job launched.

$sel:objectiveStatusCounters:HyperParameterTuningJobSummary', hyperParameterTuningJobSummary_objectiveStatusCounters - The ObjectiveStatusCounters object that specifies the numbers of training jobs, categorized by objective metric status, that this tuning job launched.

hyperParameterTuningJobSummary_hyperParameterTuningEndTime :: Lens' HyperParameterTuningJobSummary (Maybe UTCTime) Source #

The date and time that the tuning job ended.

hyperParameterTuningJobSummary_lastModifiedTime :: Lens' HyperParameterTuningJobSummary (Maybe UTCTime) Source #

The date and time that the tuning job was modified.

hyperParameterTuningJobSummary_resourceLimits :: Lens' HyperParameterTuningJobSummary (Maybe ResourceLimits) Source #

The ResourceLimits object that specifies the maximum number of training jobs and parallel training jobs allowed for this tuning job.

hyperParameterTuningJobSummary_hyperParameterTuningJobName :: Lens' HyperParameterTuningJobSummary Text Source #

The name of the tuning job.

hyperParameterTuningJobSummary_hyperParameterTuningJobArn :: Lens' HyperParameterTuningJobSummary Text Source #

The Amazon Resource Name (ARN) of the tuning job.

hyperParameterTuningJobSummary_hyperParameterTuningJobStatus :: Lens' HyperParameterTuningJobSummary HyperParameterTuningJobStatus Source #

The status of the tuning job.

hyperParameterTuningJobSummary_strategy :: Lens' HyperParameterTuningJobSummary HyperParameterTuningJobStrategyType Source #

Specifies the search strategy hyperparameter tuning uses to choose which hyperparameters to evaluate at each iteration.

hyperParameterTuningJobSummary_creationTime :: Lens' HyperParameterTuningJobSummary UTCTime Source #

The date and time that the tuning job was created.

hyperParameterTuningJobSummary_trainingJobStatusCounters :: Lens' HyperParameterTuningJobSummary TrainingJobStatusCounters Source #

The TrainingJobStatusCounters object that specifies the numbers of training jobs, categorized by status, that this tuning job launched.

hyperParameterTuningJobSummary_objectiveStatusCounters :: Lens' HyperParameterTuningJobSummary ObjectiveStatusCounters Source #

The ObjectiveStatusCounters object that specifies the numbers of training jobs, categorized by objective metric status, that this tuning job launched.

HyperParameterTuningJobWarmStartConfig

data HyperParameterTuningJobWarmStartConfig Source #

Specifies the configuration for a hyperparameter tuning job that uses one or more previous hyperparameter tuning jobs as a starting point. The results of previous tuning jobs are used to inform which combinations of hyperparameters to search over in the new tuning job.

All training jobs launched by the new hyperparameter tuning job are evaluated by using the objective metric, and the training job that performs the best is compared to the best training jobs from the parent tuning jobs. From these, the training job that performs the best as measured by the objective metric is returned as the overall best training job.

All training jobs launched by parent hyperparameter tuning jobs and the new hyperparameter tuning jobs count against the limit of training jobs for the tuning job.

See: newHyperParameterTuningJobWarmStartConfig smart constructor.

Constructors

HyperParameterTuningJobWarmStartConfig' 

Fields

  • parentHyperParameterTuningJobs :: NonEmpty ParentHyperParameterTuningJob

    An array of hyperparameter tuning jobs that are used as the starting point for the new hyperparameter tuning job. For more information about warm starting a hyperparameter tuning job, see Using a Previous Hyperparameter Tuning Job as a Starting Point.

    Hyperparameter tuning jobs created before October 1, 2018 cannot be used as parent jobs for warm start tuning jobs.

  • warmStartType :: HyperParameterTuningJobWarmStartType

    Specifies one of the following:

    IDENTICAL_DATA_AND_ALGORITHM
    The new hyperparameter tuning job uses the same input data and training image as the parent tuning jobs. You can change the hyperparameter ranges to search and the maximum number of training jobs that the hyperparameter tuning job launches. You cannot use a new version of the training algorithm, unless the changes in the new version do not affect the algorithm itself. For example, changes that improve logging or adding support for a different data format are allowed. You can also change hyperparameters from tunable to static, and from static to tunable, but the total number of static plus tunable hyperparameters must remain the same as it is in all parent jobs. The objective metric for the new tuning job must be the same as for all parent jobs.
    TRANSFER_LEARNING
    The new hyperparameter tuning job can include input data, hyperparameter ranges, maximum number of concurrent training jobs, and maximum number of training jobs that are different than those of its parent hyperparameter tuning jobs. The training image can also be a different version from the version used in the parent hyperparameter tuning job. You can also change hyperparameters from tunable to static, and from static to tunable, but the total number of static plus tunable hyperparameters must remain the same as it is in all parent jobs. The objective metric for the new tuning job must be the same as for all parent jobs.

Instances

Instances details
FromJSON HyperParameterTuningJobWarmStartConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobWarmStartConfig

Methods

parseJSON :: Value -> Parser HyperParameterTuningJobWarmStartConfig #

parseJSONList :: Value -> Parser [HyperParameterTuningJobWarmStartConfig] #

ToJSON HyperParameterTuningJobWarmStartConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobWarmStartConfig

Methods

toJSON :: HyperParameterTuningJobWarmStartConfig -> Value #

toEncoding :: HyperParameterTuningJobWarmStartConfig -> Encoding #

toJSONList :: [HyperParameterTuningJobWarmStartConfig] -> Value #

toEncodingList :: [HyperParameterTuningJobWarmStartConfig] -> Encoding #

Generic HyperParameterTuningJobWarmStartConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobWarmStartConfig

Associated Types

type Rep HyperParameterTuningJobWarmStartConfig :: Type -> Type #

Methods

from :: HyperParameterTuningJobWarmStartConfig -> Rep HyperParameterTuningJobWarmStartConfig x #

to :: Rep HyperParameterTuningJobWarmStartConfig x -> HyperParameterTuningJobWarmStartConfig #

Read HyperParameterTuningJobWarmStartConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobWarmStartConfig

Methods

readsPrec :: Int -> ReadS HyperParameterTuningJobWarmStartConfig #

readList :: ReadS [HyperParameterTuningJobWarmStartConfig] #

readPrec :: ReadPrec HyperParameterTuningJobWarmStartConfig #

readListPrec :: ReadPrec [HyperParameterTuningJobWarmStartConfig] #

Show HyperParameterTuningJobWarmStartConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobWarmStartConfig

Methods

showsPrec :: Int -> HyperParameterTuningJobWarmStartConfig -> ShowS #

show :: HyperParameterTuningJobWarmStartConfig -> String #

showList :: [HyperParameterTuningJobWarmStartConfig] -> ShowS #

NFData HyperParameterTuningJobWarmStartConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobWarmStartConfig

Methods

rnf :: HyperParameterTuningJobWarmStartConfig -> () #

Eq HyperParameterTuningJobWarmStartConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobWarmStartConfig

Methods

(==) :: HyperParameterTuningJobWarmStartConfig -> HyperParameterTuningJobWarmStartConfig -> Bool #

(/=) :: HyperParameterTuningJobWarmStartConfig -> HyperParameterTuningJobWarmStartConfig -> Bool #

Hashable HyperParameterTuningJobWarmStartConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobWarmStartConfig

Methods

hashWithSalt :: Int -> HyperParameterTuningJobWarmStartConfig -> Int #

hash :: HyperParameterTuningJobWarmStartConfig -> Int #

type Rep HyperParameterTuningJobWarmStartConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobWarmStartConfig

type Rep HyperParameterTuningJobWarmStartConfig = D1 ('MetaData "HyperParameterTuningJobWarmStartConfig" "Amazonka.SageMaker.Types.HyperParameterTuningJobWarmStartConfig" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "HyperParameterTuningJobWarmStartConfig'" 'PrefixI 'True) (S1 ('MetaSel ('Just "parentHyperParameterTuningJobs") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (NonEmpty ParentHyperParameterTuningJob)) :*: S1 ('MetaSel ('Just "warmStartType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 HyperParameterTuningJobWarmStartType)))

newHyperParameterTuningJobWarmStartConfig Source #

Arguments

:: NonEmpty ParentHyperParameterTuningJob

$sel:parentHyperParameterTuningJobs:HyperParameterTuningJobWarmStartConfig'

-> HyperParameterTuningJobWarmStartType

$sel:warmStartType:HyperParameterTuningJobWarmStartConfig'

-> HyperParameterTuningJobWarmStartConfig 

Create a value of HyperParameterTuningJobWarmStartConfig with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:parentHyperParameterTuningJobs:HyperParameterTuningJobWarmStartConfig', hyperParameterTuningJobWarmStartConfig_parentHyperParameterTuningJobs - An array of hyperparameter tuning jobs that are used as the starting point for the new hyperparameter tuning job. For more information about warm starting a hyperparameter tuning job, see Using a Previous Hyperparameter Tuning Job as a Starting Point.

Hyperparameter tuning jobs created before October 1, 2018 cannot be used as parent jobs for warm start tuning jobs.

$sel:warmStartType:HyperParameterTuningJobWarmStartConfig', hyperParameterTuningJobWarmStartConfig_warmStartType - Specifies one of the following:

IDENTICAL_DATA_AND_ALGORITHM
The new hyperparameter tuning job uses the same input data and training image as the parent tuning jobs. You can change the hyperparameter ranges to search and the maximum number of training jobs that the hyperparameter tuning job launches. You cannot use a new version of the training algorithm, unless the changes in the new version do not affect the algorithm itself. For example, changes that improve logging or adding support for a different data format are allowed. You can also change hyperparameters from tunable to static, and from static to tunable, but the total number of static plus tunable hyperparameters must remain the same as it is in all parent jobs. The objective metric for the new tuning job must be the same as for all parent jobs.
TRANSFER_LEARNING
The new hyperparameter tuning job can include input data, hyperparameter ranges, maximum number of concurrent training jobs, and maximum number of training jobs that are different than those of its parent hyperparameter tuning jobs. The training image can also be a different version from the version used in the parent hyperparameter tuning job. You can also change hyperparameters from tunable to static, and from static to tunable, but the total number of static plus tunable hyperparameters must remain the same as it is in all parent jobs. The objective metric for the new tuning job must be the same as for all parent jobs.

hyperParameterTuningJobWarmStartConfig_parentHyperParameterTuningJobs :: Lens' HyperParameterTuningJobWarmStartConfig (NonEmpty ParentHyperParameterTuningJob) Source #

An array of hyperparameter tuning jobs that are used as the starting point for the new hyperparameter tuning job. For more information about warm starting a hyperparameter tuning job, see Using a Previous Hyperparameter Tuning Job as a Starting Point.

Hyperparameter tuning jobs created before October 1, 2018 cannot be used as parent jobs for warm start tuning jobs.

hyperParameterTuningJobWarmStartConfig_warmStartType :: Lens' HyperParameterTuningJobWarmStartConfig HyperParameterTuningJobWarmStartType Source #

Specifies one of the following:

IDENTICAL_DATA_AND_ALGORITHM
The new hyperparameter tuning job uses the same input data and training image as the parent tuning jobs. You can change the hyperparameter ranges to search and the maximum number of training jobs that the hyperparameter tuning job launches. You cannot use a new version of the training algorithm, unless the changes in the new version do not affect the algorithm itself. For example, changes that improve logging or adding support for a different data format are allowed. You can also change hyperparameters from tunable to static, and from static to tunable, but the total number of static plus tunable hyperparameters must remain the same as it is in all parent jobs. The objective metric for the new tuning job must be the same as for all parent jobs.
TRANSFER_LEARNING
The new hyperparameter tuning job can include input data, hyperparameter ranges, maximum number of concurrent training jobs, and maximum number of training jobs that are different than those of its parent hyperparameter tuning jobs. The training image can also be a different version from the version used in the parent hyperparameter tuning job. You can also change hyperparameters from tunable to static, and from static to tunable, but the total number of static plus tunable hyperparameters must remain the same as it is in all parent jobs. The objective metric for the new tuning job must be the same as for all parent jobs.

HyperParameterTuningResourceConfig

data HyperParameterTuningResourceConfig Source #

The configuration of resources, including compute instances and storage volumes for use in training jobs launched by hyperparameter tuning jobs. HyperParameterTuningResourceConfig is similar to ResourceConfig, but has the additional InstanceConfigs and AllocationStrategy fields to allow for flexible instance management. Specify one or more instance types, count, and the allocation strategy for instance selection.

HyperParameterTuningResourceConfig supports the capabilities of ResourceConfig with the exception of KeepAlivePeriodInSeconds. Hyperparameter tuning jobs use warm pools by default, which reuse clusters between training jobs.

See: newHyperParameterTuningResourceConfig smart constructor.

Constructors

HyperParameterTuningResourceConfig' 

Fields

  • allocationStrategy :: Maybe HyperParameterTuningAllocationStrategy

    The strategy that determines the order of preference for resources specified in InstanceConfigs used in hyperparameter optimization.

  • instanceConfigs :: Maybe (NonEmpty HyperParameterTuningInstanceConfig)

    A list containing the configuration(s) for one or more resources for processing hyperparameter jobs. These resources include compute instances and storage volumes to use in model training jobs launched by hyperparameter tuning jobs. The AllocationStrategy controls the order in which multiple configurations provided in InstanceConfigs are used.

    If you only want to use a single instance configuration inside the HyperParameterTuningResourceConfig API, do not provide a value for InstanceConfigs. Instead, use InstanceType, VolumeSizeInGB and InstanceCount. If you use InstanceConfigs, do not provide values for InstanceType, VolumeSizeInGB or InstanceCount.

  • instanceCount :: Maybe Natural

    The number of compute instances of type InstanceType to use. For distributed training, select a value greater than 1.

  • instanceType :: Maybe TrainingInstanceType

    The instance type used to run hyperparameter optimization tuning jobs. See descriptions of instance types for more information.

  • volumeKmsKeyId :: Maybe Text

    A key used by Amazon Web Services Key Management Service to encrypt data on the storage volume attached to the compute instances used to run the training job. You can use either of the following formats to specify a key.

    KMS Key ID:

    "1234abcd-12ab-34cd-56ef-1234567890ab"

    Amazon Resource Name (ARN) of a KMS key:

    "arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab"

    Some instances use local storage, which use a hardware module to encrypt storage volumes. If you choose one of these instance types, you cannot request a VolumeKmsKeyId. For a list of instance types that use local storage, see instance store volumes. For more information about Amazon Web Services Key Management Service, see KMS encryption for more information.

  • volumeSizeInGB :: Maybe Natural

    The volume size in GB for the storage volume to be used in processing hyperparameter optimization jobs (optional). These volumes store model artifacts, incremental states and optionally, scratch space for training algorithms. Do not provide a value for this parameter if a value for InstanceConfigs is also specified.

    Some instance types have a fixed total local storage size. If you select one of these instances for training, VolumeSizeInGB cannot be greater than this total size. For a list of instance types with local instance storage and their sizes, see instance store volumes.

    SageMaker supports only the General Purpose SSD (gp2) storage volume type.

Instances

Instances details
FromJSON HyperParameterTuningResourceConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterTuningResourceConfig

Methods

parseJSON :: Value -> Parser HyperParameterTuningResourceConfig #

parseJSONList :: Value -> Parser [HyperParameterTuningResourceConfig] #

ToJSON HyperParameterTuningResourceConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterTuningResourceConfig

Methods

toJSON :: HyperParameterTuningResourceConfig -> Value #

toEncoding :: HyperParameterTuningResourceConfig -> Encoding #

toJSONList :: [HyperParameterTuningResourceConfig] -> Value #

toEncodingList :: [HyperParameterTuningResourceConfig] -> Encoding #

Generic HyperParameterTuningResourceConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterTuningResourceConfig

Associated Types

type Rep HyperParameterTuningResourceConfig :: Type -> Type #

Methods

from :: HyperParameterTuningResourceConfig -> Rep HyperParameterTuningResourceConfig x #

to :: Rep HyperParameterTuningResourceConfig x -> HyperParameterTuningResourceConfig #

Read HyperParameterTuningResourceConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterTuningResourceConfig

Methods

readsPrec :: Int -> ReadS HyperParameterTuningResourceConfig #

readList :: ReadS [HyperParameterTuningResourceConfig] #

readPrec :: ReadPrec HyperParameterTuningResourceConfig #

readListPrec :: ReadPrec [HyperParameterTuningResourceConfig] #

Show HyperParameterTuningResourceConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterTuningResourceConfig

Methods

showsPrec :: Int -> HyperParameterTuningResourceConfig -> ShowS #

show :: HyperParameterTuningResourceConfig -> String #

showList :: [HyperParameterTuningResourceConfig] -> ShowS #

NFData HyperParameterTuningResourceConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterTuningResourceConfig

Methods

rnf :: HyperParameterTuningResourceConfig -> () #

Eq HyperParameterTuningResourceConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterTuningResourceConfig

Methods

(==) :: HyperParameterTuningResourceConfig -> HyperParameterTuningResourceConfig -> Bool #

(/=) :: HyperParameterTuningResourceConfig -> HyperParameterTuningResourceConfig -> Bool #

Hashable HyperParameterTuningResourceConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterTuningResourceConfig

Methods

hashWithSalt :: Int -> HyperParameterTuningResourceConfig -> Int #

hash :: HyperParameterTuningResourceConfig -> Int #

type Rep HyperParameterTuningResourceConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperParameterTuningResourceConfig

type Rep HyperParameterTuningResourceConfig = D1 ('MetaData "HyperParameterTuningResourceConfig" "Amazonka.SageMaker.Types.HyperParameterTuningResourceConfig" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "HyperParameterTuningResourceConfig'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "allocationStrategy") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe HyperParameterTuningAllocationStrategy)) :*: (S1 ('MetaSel ('Just "instanceConfigs") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe (NonEmpty HyperParameterTuningInstanceConfig))) :*: S1 ('MetaSel ('Just "instanceCount") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural)))) :*: (S1 ('MetaSel ('Just "instanceType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe TrainingInstanceType)) :*: (S1 ('MetaSel ('Just "volumeKmsKeyId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "volumeSizeInGB") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural))))))

newHyperParameterTuningResourceConfig :: HyperParameterTuningResourceConfig Source #

Create a value of HyperParameterTuningResourceConfig with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:allocationStrategy:HyperParameterTuningResourceConfig', hyperParameterTuningResourceConfig_allocationStrategy - The strategy that determines the order of preference for resources specified in InstanceConfigs used in hyperparameter optimization.

$sel:instanceConfigs:HyperParameterTuningResourceConfig', hyperParameterTuningResourceConfig_instanceConfigs - A list containing the configuration(s) for one or more resources for processing hyperparameter jobs. These resources include compute instances and storage volumes to use in model training jobs launched by hyperparameter tuning jobs. The AllocationStrategy controls the order in which multiple configurations provided in InstanceConfigs are used.

If you only want to use a single instance configuration inside the HyperParameterTuningResourceConfig API, do not provide a value for InstanceConfigs. Instead, use InstanceType, VolumeSizeInGB and InstanceCount. If you use InstanceConfigs, do not provide values for InstanceType, VolumeSizeInGB or InstanceCount.

HyperParameterTuningResourceConfig, hyperParameterTuningResourceConfig_instanceCount - The number of compute instances of type InstanceType to use. For distributed training, select a value greater than 1.

HyperParameterTuningResourceConfig, hyperParameterTuningResourceConfig_instanceType - The instance type used to run hyperparameter optimization tuning jobs. See descriptions of instance types for more information.

$sel:volumeKmsKeyId:HyperParameterTuningResourceConfig', hyperParameterTuningResourceConfig_volumeKmsKeyId - A key used by Amazon Web Services Key Management Service to encrypt data on the storage volume attached to the compute instances used to run the training job. You can use either of the following formats to specify a key.

KMS Key ID:

"1234abcd-12ab-34cd-56ef-1234567890ab"

Amazon Resource Name (ARN) of a KMS key:

"arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab"

Some instances use local storage, which use a hardware module to encrypt storage volumes. If you choose one of these instance types, you cannot request a VolumeKmsKeyId. For a list of instance types that use local storage, see instance store volumes. For more information about Amazon Web Services Key Management Service, see KMS encryption for more information.

HyperParameterTuningResourceConfig, hyperParameterTuningResourceConfig_volumeSizeInGB - The volume size in GB for the storage volume to be used in processing hyperparameter optimization jobs (optional). These volumes store model artifacts, incremental states and optionally, scratch space for training algorithms. Do not provide a value for this parameter if a value for InstanceConfigs is also specified.

Some instance types have a fixed total local storage size. If you select one of these instances for training, VolumeSizeInGB cannot be greater than this total size. For a list of instance types with local instance storage and their sizes, see instance store volumes.

SageMaker supports only the General Purpose SSD (gp2) storage volume type.

hyperParameterTuningResourceConfig_allocationStrategy :: Lens' HyperParameterTuningResourceConfig (Maybe HyperParameterTuningAllocationStrategy) Source #

The strategy that determines the order of preference for resources specified in InstanceConfigs used in hyperparameter optimization.

hyperParameterTuningResourceConfig_instanceConfigs :: Lens' HyperParameterTuningResourceConfig (Maybe (NonEmpty HyperParameterTuningInstanceConfig)) Source #

A list containing the configuration(s) for one or more resources for processing hyperparameter jobs. These resources include compute instances and storage volumes to use in model training jobs launched by hyperparameter tuning jobs. The AllocationStrategy controls the order in which multiple configurations provided in InstanceConfigs are used.

If you only want to use a single instance configuration inside the HyperParameterTuningResourceConfig API, do not provide a value for InstanceConfigs. Instead, use InstanceType, VolumeSizeInGB and InstanceCount. If you use InstanceConfigs, do not provide values for InstanceType, VolumeSizeInGB or InstanceCount.

hyperParameterTuningResourceConfig_instanceCount :: Lens' HyperParameterTuningResourceConfig (Maybe Natural) Source #

The number of compute instances of type InstanceType to use. For distributed training, select a value greater than 1.

hyperParameterTuningResourceConfig_instanceType :: Lens' HyperParameterTuningResourceConfig (Maybe TrainingInstanceType) Source #

The instance type used to run hyperparameter optimization tuning jobs. See descriptions of instance types for more information.

hyperParameterTuningResourceConfig_volumeKmsKeyId :: Lens' HyperParameterTuningResourceConfig (Maybe Text) Source #

A key used by Amazon Web Services Key Management Service to encrypt data on the storage volume attached to the compute instances used to run the training job. You can use either of the following formats to specify a key.

KMS Key ID:

"1234abcd-12ab-34cd-56ef-1234567890ab"

Amazon Resource Name (ARN) of a KMS key:

"arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab"

Some instances use local storage, which use a hardware module to encrypt storage volumes. If you choose one of these instance types, you cannot request a VolumeKmsKeyId. For a list of instance types that use local storage, see instance store volumes. For more information about Amazon Web Services Key Management Service, see KMS encryption for more information.

hyperParameterTuningResourceConfig_volumeSizeInGB :: Lens' HyperParameterTuningResourceConfig (Maybe Natural) Source #

The volume size in GB for the storage volume to be used in processing hyperparameter optimization jobs (optional). These volumes store model artifacts, incremental states and optionally, scratch space for training algorithms. Do not provide a value for this parameter if a value for InstanceConfigs is also specified.

Some instance types have a fixed total local storage size. If you select one of these instances for training, VolumeSizeInGB cannot be greater than this total size. For a list of instance types with local instance storage and their sizes, see instance store volumes.

SageMaker supports only the General Purpose SSD (gp2) storage volume type.

HyperbandStrategyConfig

data HyperbandStrategyConfig Source #

The configuration for Hyperband, a multi-fidelity based hyperparameter tuning strategy. Hyperband uses the final and intermediate results of a training job to dynamically allocate resources to utilized hyperparameter configurations while automatically stopping under-performing configurations. This parameter should be provided only if Hyperband is selected as the StrategyConfig under the HyperParameterTuningJobConfig API.

See: newHyperbandStrategyConfig smart constructor.

Constructors

HyperbandStrategyConfig' 

Fields

  • maxResource :: Maybe Natural

    The maximum number of resources (such as epochs) that can be used by a training job launched by a hyperparameter tuning job. Once a job reaches the MaxResource value, it is stopped. If a value for MaxResource is not provided, and Hyperband is selected as the hyperparameter tuning strategy, HyperbandTrainingJ attempts to infer MaxResource from the following keys (if present) in StaticsHyperParameters:

    • epochs
    • numepochs
    • n-epochs
    • n_epochs
    • num_epochs

    If HyperbandStrategyConfig is unable to infer a value for MaxResource, it generates a validation error. The maximum value is 20,000 epochs. All metrics that correspond to an objective metric are used to derive early stopping decisions. For distributive training jobs, ensure that duplicate metrics are not printed in the logs across the individual nodes in a training job. If multiple nodes are publishing duplicate or incorrect metrics, training jobs may make an incorrect stopping decision and stop the job prematurely.

  • minResource :: Maybe Natural

    The minimum number of resources (such as epochs) that can be used by a training job launched by a hyperparameter tuning job. If the value for MinResource has not been reached, the training job will not be stopped by Hyperband.

Instances

Instances details
FromJSON HyperbandStrategyConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperbandStrategyConfig

Methods

parseJSON :: Value -> Parser HyperbandStrategyConfig #

parseJSONList :: Value -> Parser [HyperbandStrategyConfig] #

ToJSON HyperbandStrategyConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperbandStrategyConfig

Methods

toJSON :: HyperbandStrategyConfig -> Value #

toEncoding :: HyperbandStrategyConfig -> Encoding #

toJSONList :: [HyperbandStrategyConfig] -> Value #

toEncodingList :: [HyperbandStrategyConfig] -> Encoding #

Generic HyperbandStrategyConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperbandStrategyConfig

Associated Types

type Rep HyperbandStrategyConfig :: Type -> Type #

Methods

from :: HyperbandStrategyConfig -> Rep HyperbandStrategyConfig x #

to :: Rep HyperbandStrategyConfig x -> HyperbandStrategyConfig #

Read HyperbandStrategyConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperbandStrategyConfig

Methods

readsPrec :: Int -> ReadS HyperbandStrategyConfig #

readList :: ReadS [HyperbandStrategyConfig] #

readPrec :: ReadPrec HyperbandStrategyConfig #

readListPrec :: ReadPrec [HyperbandStrategyConfig] #

Show HyperbandStrategyConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperbandStrategyConfig

Methods

showsPrec :: Int -> HyperbandStrategyConfig -> ShowS #

show :: HyperbandStrategyConfig -> String #

showList :: [HyperbandStrategyConfig] -> ShowS #

NFData HyperbandStrategyConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperbandStrategyConfig

Methods

rnf :: HyperbandStrategyConfig -> () #

Eq HyperbandStrategyConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperbandStrategyConfig

Methods

(==) :: HyperbandStrategyConfig -> HyperbandStrategyConfig -> Bool #

(/=) :: HyperbandStrategyConfig -> HyperbandStrategyConfig -> Bool #

Hashable HyperbandStrategyConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperbandStrategyConfig

Methods

hashWithSalt :: Int -> HyperbandStrategyConfig -> Int #

hash :: HyperbandStrategyConfig -> Int #

type Rep HyperbandStrategyConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.HyperbandStrategyConfig

type Rep HyperbandStrategyConfig = D1 ('MetaData "HyperbandStrategyConfig" "Amazonka.SageMaker.Types.HyperbandStrategyConfig" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "HyperbandStrategyConfig'" 'PrefixI 'True) (S1 ('MetaSel ('Just "maxResource") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural)) :*: S1 ('MetaSel ('Just "minResource") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural))))

newHyperbandStrategyConfig :: HyperbandStrategyConfig Source #

Create a value of HyperbandStrategyConfig with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:maxResource:HyperbandStrategyConfig', hyperbandStrategyConfig_maxResource - The maximum number of resources (such as epochs) that can be used by a training job launched by a hyperparameter tuning job. Once a job reaches the MaxResource value, it is stopped. If a value for MaxResource is not provided, and Hyperband is selected as the hyperparameter tuning strategy, HyperbandTrainingJ attempts to infer MaxResource from the following keys (if present) in StaticsHyperParameters:

  • epochs
  • numepochs
  • n-epochs
  • n_epochs
  • num_epochs

If HyperbandStrategyConfig is unable to infer a value for MaxResource, it generates a validation error. The maximum value is 20,000 epochs. All metrics that correspond to an objective metric are used to derive early stopping decisions. For distributive training jobs, ensure that duplicate metrics are not printed in the logs across the individual nodes in a training job. If multiple nodes are publishing duplicate or incorrect metrics, training jobs may make an incorrect stopping decision and stop the job prematurely.

$sel:minResource:HyperbandStrategyConfig', hyperbandStrategyConfig_minResource - The minimum number of resources (such as epochs) that can be used by a training job launched by a hyperparameter tuning job. If the value for MinResource has not been reached, the training job will not be stopped by Hyperband.

hyperbandStrategyConfig_maxResource :: Lens' HyperbandStrategyConfig (Maybe Natural) Source #

The maximum number of resources (such as epochs) that can be used by a training job launched by a hyperparameter tuning job. Once a job reaches the MaxResource value, it is stopped. If a value for MaxResource is not provided, and Hyperband is selected as the hyperparameter tuning strategy, HyperbandTrainingJ attempts to infer MaxResource from the following keys (if present) in StaticsHyperParameters:

  • epochs
  • numepochs
  • n-epochs
  • n_epochs
  • num_epochs

If HyperbandStrategyConfig is unable to infer a value for MaxResource, it generates a validation error. The maximum value is 20,000 epochs. All metrics that correspond to an objective metric are used to derive early stopping decisions. For distributive training jobs, ensure that duplicate metrics are not printed in the logs across the individual nodes in a training job. If multiple nodes are publishing duplicate or incorrect metrics, training jobs may make an incorrect stopping decision and stop the job prematurely.

hyperbandStrategyConfig_minResource :: Lens' HyperbandStrategyConfig (Maybe Natural) Source #

The minimum number of resources (such as epochs) that can be used by a training job launched by a hyperparameter tuning job. If the value for MinResource has not been reached, the training job will not be stopped by Hyperband.

Image

data Image Source #

A SageMaker image. A SageMaker image represents a set of container images that are derived from a common base container image. Each of these container images is represented by a SageMaker ImageVersion.

See: newImage smart constructor.

Constructors

Image' 

Fields

Instances

Instances details
FromJSON Image Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Image

Methods

parseJSON :: Value -> Parser Image #

parseJSONList :: Value -> Parser [Image] #

Generic Image Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Image

Associated Types

type Rep Image :: Type -> Type #

Methods

from :: Image -> Rep Image x #

to :: Rep Image x -> Image #

Read Image Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Image

Methods

readsPrec :: Int -> ReadS Image #

readList :: ReadS [Image] #

readPrec :: ReadPrec Image #

readListPrec :: ReadPrec [Image] #

Show Image Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Image

Methods

showsPrec :: Int -> Image -> ShowS #

show :: Image -> String #

showList :: [Image] -> ShowS #

NFData Image Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Image

Methods

rnf :: Image -> () #

Eq Image Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Image

Methods

(==) :: Image -> Image -> Bool #

(/=) :: Image -> Image -> Bool #

Hashable Image Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Image

Methods

hashWithSalt :: Int -> Image -> Int #

hash :: Image -> Int #

type Rep Image Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Image

type Rep Image = D1 ('MetaData "Image" "Amazonka.SageMaker.Types.Image" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "Image'" 'PrefixI 'True) (((S1 ('MetaSel ('Just "description") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "displayName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))) :*: (S1 ('MetaSel ('Just "failureReason") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "creationTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 POSIX))) :*: ((S1 ('MetaSel ('Just "imageArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: S1 ('MetaSel ('Just "imageName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)) :*: (S1 ('MetaSel ('Just "imageStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 ImageStatus) :*: S1 ('MetaSel ('Just "lastModifiedTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 POSIX)))))

newImage Source #

Arguments

:: UTCTime

$sel:creationTime:Image'

-> Text

$sel:imageArn:Image'

-> Text

$sel:imageName:Image'

-> ImageStatus

$sel:imageStatus:Image'

-> UTCTime

$sel:lastModifiedTime:Image'

-> Image 

Create a value of Image with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:description:Image', image_description - The description of the image.

$sel:displayName:Image', image_displayName - The name of the image as displayed.

$sel:failureReason:Image', image_failureReason - When a create, update, or delete operation fails, the reason for the failure.

$sel:creationTime:Image', image_creationTime - When the image was created.

$sel:imageArn:Image', image_imageArn - The ARN of the image.

$sel:imageName:Image', image_imageName - The name of the image.

$sel:imageStatus:Image', image_imageStatus - The status of the image.

$sel:lastModifiedTime:Image', image_lastModifiedTime - When the image was last modified.

image_description :: Lens' Image (Maybe Text) Source #

The description of the image.

image_displayName :: Lens' Image (Maybe Text) Source #

The name of the image as displayed.

image_failureReason :: Lens' Image (Maybe Text) Source #

When a create, update, or delete operation fails, the reason for the failure.

image_creationTime :: Lens' Image UTCTime Source #

When the image was created.

image_imageArn :: Lens' Image Text Source #

The ARN of the image.

image_imageName :: Lens' Image Text Source #

The name of the image.

image_imageStatus :: Lens' Image ImageStatus Source #

The status of the image.

image_lastModifiedTime :: Lens' Image UTCTime Source #

When the image was last modified.

ImageConfig

data ImageConfig Source #

Specifies whether the model container is in Amazon ECR or a private Docker registry accessible from your Amazon Virtual Private Cloud (VPC).

See: newImageConfig smart constructor.

Constructors

ImageConfig' 

Fields

  • repositoryAuthConfig :: Maybe RepositoryAuthConfig

    (Optional) Specifies an authentication configuration for the private docker registry where your model image is hosted. Specify a value for this property only if you specified Vpc as the value for the RepositoryAccessMode field, and the private Docker registry where the model image is hosted requires authentication.

  • repositoryAccessMode :: RepositoryAccessMode

    Set this to one of the following values:

    • Platform - The model image is hosted in Amazon ECR.
    • Vpc - The model image is hosted in a private Docker registry in your VPC.

Instances

Instances details
FromJSON ImageConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ImageConfig

Methods

parseJSON :: Value -> Parser ImageConfig #

parseJSONList :: Value -> Parser [ImageConfig] #

ToJSON ImageConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ImageConfig

Methods

toJSON :: ImageConfig -> Value #

toEncoding :: ImageConfig -> Encoding #

toJSONList :: [ImageConfig] -> Value #

toEncodingList :: [ImageConfig] -> Encoding #

Generic ImageConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ImageConfig

Associated Types

type Rep ImageConfig :: Type -> Type #

Methods

from :: ImageConfig -> Rep ImageConfig x #

to :: Rep ImageConfig x -> ImageConfig #

Read ImageConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ImageConfig

Methods

readsPrec :: Int -> ReadS ImageConfig #

readList :: ReadS [ImageConfig] #

readPrec :: ReadPrec ImageConfig #

readListPrec :: ReadPrec [ImageConfig] #

Show ImageConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ImageConfig

Methods

showsPrec :: Int -> ImageConfig -> ShowS #

show :: ImageConfig -> String #

showList :: [ImageConfig] -> ShowS #

NFData ImageConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ImageConfig

Methods

rnf :: ImageConfig -> () #

Eq ImageConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ImageConfig

Methods

(==) :: ImageConfig -> ImageConfig -> Bool #

(/=) :: ImageConfig -> ImageConfig -> Bool #

Hashable ImageConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ImageConfig

Methods

hashWithSalt :: Int -> ImageConfig -> Int #

hash :: ImageConfig -> Int #

type Rep ImageConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ImageConfig

type Rep ImageConfig = D1 ('MetaData "ImageConfig" "Amazonka.SageMaker.Types.ImageConfig" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "ImageConfig'" 'PrefixI 'True) (S1 ('MetaSel ('Just "repositoryAuthConfig") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe RepositoryAuthConfig)) :*: S1 ('MetaSel ('Just "repositoryAccessMode") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 RepositoryAccessMode)))

newImageConfig Source #

Arguments

:: RepositoryAccessMode

$sel:repositoryAccessMode:ImageConfig'

-> ImageConfig 

Create a value of ImageConfig with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:repositoryAuthConfig:ImageConfig', imageConfig_repositoryAuthConfig - (Optional) Specifies an authentication configuration for the private docker registry where your model image is hosted. Specify a value for this property only if you specified Vpc as the value for the RepositoryAccessMode field, and the private Docker registry where the model image is hosted requires authentication.

$sel:repositoryAccessMode:ImageConfig', imageConfig_repositoryAccessMode - Set this to one of the following values:

  • Platform - The model image is hosted in Amazon ECR.
  • Vpc - The model image is hosted in a private Docker registry in your VPC.

imageConfig_repositoryAuthConfig :: Lens' ImageConfig (Maybe RepositoryAuthConfig) Source #

(Optional) Specifies an authentication configuration for the private docker registry where your model image is hosted. Specify a value for this property only if you specified Vpc as the value for the RepositoryAccessMode field, and the private Docker registry where the model image is hosted requires authentication.

imageConfig_repositoryAccessMode :: Lens' ImageConfig RepositoryAccessMode Source #

Set this to one of the following values:

  • Platform - The model image is hosted in Amazon ECR.
  • Vpc - The model image is hosted in a private Docker registry in your VPC.

ImageVersion

data ImageVersion Source #

A version of a SageMaker Image. A version represents an existing container image.

See: newImageVersion smart constructor.

Constructors

ImageVersion' 

Fields

Instances

Instances details
FromJSON ImageVersion Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ImageVersion

Methods

parseJSON :: Value -> Parser ImageVersion #

parseJSONList :: Value -> Parser [ImageVersion] #

Generic ImageVersion Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ImageVersion

Associated Types

type Rep ImageVersion :: Type -> Type #

Methods

from :: ImageVersion -> Rep ImageVersion x #

to :: Rep ImageVersion x -> ImageVersion #

Read ImageVersion Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ImageVersion

Methods

readsPrec :: Int -> ReadS ImageVersion #

readList :: ReadS [ImageVersion] #

readPrec :: ReadPrec ImageVersion #

readListPrec :: ReadPrec [ImageVersion] #

Show ImageVersion Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ImageVersion

Methods

showsPrec :: Int -> ImageVersion -> ShowS #

show :: ImageVersion -> String #

showList :: [ImageVersion] -> ShowS #

NFData ImageVersion Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ImageVersion

Methods

rnf :: ImageVersion -> () #

Eq ImageVersion Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ImageVersion

Methods

(==) :: ImageVersion -> ImageVersion -> Bool #

(/=) :: ImageVersion -> ImageVersion -> Bool #

Hashable ImageVersion Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ImageVersion

Methods

hashWithSalt :: Int -> ImageVersion -> Int #

hash :: ImageVersion -> Int #

type Rep ImageVersion Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ImageVersion

type Rep ImageVersion = D1 ('MetaData "ImageVersion" "Amazonka.SageMaker.Types.ImageVersion" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "ImageVersion'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "failureReason") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: (S1 ('MetaSel ('Just "creationTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 POSIX) :*: S1 ('MetaSel ('Just "imageArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text))) :*: ((S1 ('MetaSel ('Just "imageVersionArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: S1 ('MetaSel ('Just "imageVersionStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 ImageVersionStatus)) :*: (S1 ('MetaSel ('Just "lastModifiedTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 POSIX) :*: S1 ('MetaSel ('Just "version") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Natural)))))

newImageVersion Source #

Arguments

:: UTCTime

$sel:creationTime:ImageVersion'

-> Text

$sel:imageArn:ImageVersion'

-> Text

$sel:imageVersionArn:ImageVersion'

-> ImageVersionStatus

$sel:imageVersionStatus:ImageVersion'

-> UTCTime

$sel:lastModifiedTime:ImageVersion'

-> Natural

$sel:version:ImageVersion'

-> ImageVersion 

Create a value of ImageVersion with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:failureReason:ImageVersion', imageVersion_failureReason - When a create or delete operation fails, the reason for the failure.

$sel:creationTime:ImageVersion', imageVersion_creationTime - When the version was created.

$sel:imageArn:ImageVersion', imageVersion_imageArn - The ARN of the image the version is based on.

$sel:imageVersionArn:ImageVersion', imageVersion_imageVersionArn - The ARN of the version.

$sel:imageVersionStatus:ImageVersion', imageVersion_imageVersionStatus - The status of the version.

$sel:lastModifiedTime:ImageVersion', imageVersion_lastModifiedTime - When the version was last modified.

$sel:version:ImageVersion', imageVersion_version - The version number.

imageVersion_failureReason :: Lens' ImageVersion (Maybe Text) Source #

When a create or delete operation fails, the reason for the failure.

imageVersion_creationTime :: Lens' ImageVersion UTCTime Source #

When the version was created.

imageVersion_imageArn :: Lens' ImageVersion Text Source #

The ARN of the image the version is based on.

imageVersion_imageVersionArn :: Lens' ImageVersion Text Source #

The ARN of the version.

imageVersion_imageVersionStatus :: Lens' ImageVersion ImageVersionStatus Source #

The status of the version.

imageVersion_lastModifiedTime :: Lens' ImageVersion UTCTime Source #

When the version was last modified.

imageVersion_version :: Lens' ImageVersion Natural Source #

The version number.

InferenceExecutionConfig

data InferenceExecutionConfig Source #

Specifies details about how containers in a multi-container endpoint are run.

See: newInferenceExecutionConfig smart constructor.

Constructors

InferenceExecutionConfig' 

Fields

  • mode :: InferenceExecutionMode

    How containers in a multi-container are run. The following values are valid.

    • SERIAL - Containers run as a serial pipeline.
    • DIRECT - Only the individual container that you specify is run.

Instances

Instances details
FromJSON InferenceExecutionConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.InferenceExecutionConfig

Methods

parseJSON :: Value -> Parser InferenceExecutionConfig #

parseJSONList :: Value -> Parser [InferenceExecutionConfig] #

ToJSON InferenceExecutionConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.InferenceExecutionConfig

Methods

toJSON :: InferenceExecutionConfig -> Value #

toEncoding :: InferenceExecutionConfig -> Encoding #

toJSONList :: [InferenceExecutionConfig] -> Value #

toEncodingList :: [InferenceExecutionConfig] -> Encoding #

Generic InferenceExecutionConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.InferenceExecutionConfig

Associated Types

type Rep InferenceExecutionConfig :: Type -> Type #

Methods

from :: InferenceExecutionConfig -> Rep InferenceExecutionConfig x #

to :: Rep InferenceExecutionConfig x -> InferenceExecutionConfig #

Read InferenceExecutionConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.InferenceExecutionConfig

Methods

readsPrec :: Int -> ReadS InferenceExecutionConfig #

readList :: ReadS [InferenceExecutionConfig] #

readPrec :: ReadPrec InferenceExecutionConfig #

readListPrec :: ReadPrec [InferenceExecutionConfig] #

Show InferenceExecutionConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.InferenceExecutionConfig

Methods

showsPrec :: Int -> InferenceExecutionConfig -> ShowS #

show :: InferenceExecutionConfig -> String #

showList :: [InferenceExecutionConfig] -> ShowS #

NFData InferenceExecutionConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.InferenceExecutionConfig

Methods

rnf :: InferenceExecutionConfig -> () #

Eq InferenceExecutionConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.InferenceExecutionConfig

Methods

(==) :: InferenceExecutionConfig -> InferenceExecutionConfig -> Bool #

(/=) :: InferenceExecutionConfig -> InferenceExecutionConfig -> Bool #

Hashable InferenceExecutionConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.InferenceExecutionConfig

Methods

hashWithSalt :: Int -> InferenceExecutionConfig -> Int #

hash :: InferenceExecutionConfig -> Int #

type Rep InferenceExecutionConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.InferenceExecutionConfig

type Rep InferenceExecutionConfig = D1 ('MetaData "InferenceExecutionConfig" "Amazonka.SageMaker.Types.InferenceExecutionConfig" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "InferenceExecutionConfig'" 'PrefixI 'True) (S1 ('MetaSel ('Just "mode") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 InferenceExecutionMode)))

newInferenceExecutionConfig Source #

Arguments

:: InferenceExecutionMode

$sel:mode:InferenceExecutionConfig'

-> InferenceExecutionConfig 

Create a value of InferenceExecutionConfig with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:mode:InferenceExecutionConfig', inferenceExecutionConfig_mode - How containers in a multi-container are run. The following values are valid.

  • SERIAL - Containers run as a serial pipeline.
  • DIRECT - Only the individual container that you specify is run.

inferenceExecutionConfig_mode :: Lens' InferenceExecutionConfig InferenceExecutionMode Source #

How containers in a multi-container are run. The following values are valid.

  • SERIAL - Containers run as a serial pipeline.
  • DIRECT - Only the individual container that you specify is run.

InferenceExperimentDataStorageConfig

data InferenceExperimentDataStorageConfig Source #

The Amazon S3 location and configuration for storing inference request and response data.

See: newInferenceExperimentDataStorageConfig smart constructor.

Constructors

InferenceExperimentDataStorageConfig' 

Fields

Instances

Instances details
FromJSON InferenceExperimentDataStorageConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.InferenceExperimentDataStorageConfig

Methods

parseJSON :: Value -> Parser InferenceExperimentDataStorageConfig #

parseJSONList :: Value -> Parser [InferenceExperimentDataStorageConfig] #

ToJSON InferenceExperimentDataStorageConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.InferenceExperimentDataStorageConfig

Methods

toJSON :: InferenceExperimentDataStorageConfig -> Value #

toEncoding :: InferenceExperimentDataStorageConfig -> Encoding #

toJSONList :: [InferenceExperimentDataStorageConfig] -> Value #

toEncodingList :: [InferenceExperimentDataStorageConfig] -> Encoding #

Generic InferenceExperimentDataStorageConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.InferenceExperimentDataStorageConfig

Associated Types

type Rep InferenceExperimentDataStorageConfig :: Type -> Type #

Methods

from :: InferenceExperimentDataStorageConfig -> Rep InferenceExperimentDataStorageConfig x #

to :: Rep InferenceExperimentDataStorageConfig x -> InferenceExperimentDataStorageConfig #

Read InferenceExperimentDataStorageConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.InferenceExperimentDataStorageConfig

Methods

readsPrec :: Int -> ReadS InferenceExperimentDataStorageConfig #

readList :: ReadS [InferenceExperimentDataStorageConfig] #

readPrec :: ReadPrec InferenceExperimentDataStorageConfig #

readListPrec :: ReadPrec [InferenceExperimentDataStorageConfig] #

Show InferenceExperimentDataStorageConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.InferenceExperimentDataStorageConfig

Methods

showsPrec :: Int -> InferenceExperimentDataStorageConfig -> ShowS #

show :: InferenceExperimentDataStorageConfig -> String #

showList :: [InferenceExperimentDataStorageConfig] -> ShowS #

NFData InferenceExperimentDataStorageConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.InferenceExperimentDataStorageConfig

Methods

rnf :: InferenceExperimentDataStorageConfig -> () #

Eq InferenceExperimentDataStorageConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.InferenceExperimentDataStorageConfig

Methods

(==) :: InferenceExperimentDataStorageConfig -> InferenceExperimentDataStorageConfig -> Bool #

(/=) :: InferenceExperimentDataStorageConfig -> InferenceExperimentDataStorageConfig -> Bool #

Hashable InferenceExperimentDataStorageConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.InferenceExperimentDataStorageConfig

Methods

hashWithSalt :: Int -> InferenceExperimentDataStorageConfig -> Int #

hash :: InferenceExperimentDataStorageConfig -> Int #

type Rep InferenceExperimentDataStorageConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.InferenceExperimentDataStorageConfig

type Rep InferenceExperimentDataStorageConfig = D1 ('MetaData "InferenceExperimentDataStorageConfig" "Amazonka.SageMaker.Types.InferenceExperimentDataStorageConfig" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "InferenceExperimentDataStorageConfig'" 'PrefixI 'True) (S1 ('MetaSel ('Just "contentType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe CaptureContentTypeHeader)) :*: (S1 ('MetaSel ('Just "kmsKey") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "destination") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text))))

newInferenceExperimentDataStorageConfig Source #

Arguments

:: Text

$sel:destination:InferenceExperimentDataStorageConfig'

-> InferenceExperimentDataStorageConfig 

Create a value of InferenceExperimentDataStorageConfig with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:contentType:InferenceExperimentDataStorageConfig', inferenceExperimentDataStorageConfig_contentType - Undocumented member.

$sel:kmsKey:InferenceExperimentDataStorageConfig', inferenceExperimentDataStorageConfig_kmsKey - The Amazon Web Services Key Management Service key that Amazon SageMaker uses to encrypt captured data at rest using Amazon S3 server-side encryption.

$sel:destination:InferenceExperimentDataStorageConfig', inferenceExperimentDataStorageConfig_destination - The Amazon S3 bucket where the inference request and response data is stored.

inferenceExperimentDataStorageConfig_contentType :: Lens' InferenceExperimentDataStorageConfig (Maybe CaptureContentTypeHeader) Source #

Undocumented member.

inferenceExperimentDataStorageConfig_kmsKey :: Lens' InferenceExperimentDataStorageConfig (Maybe Text) Source #

The Amazon Web Services Key Management Service key that Amazon SageMaker uses to encrypt captured data at rest using Amazon S3 server-side encryption.

inferenceExperimentDataStorageConfig_destination :: Lens' InferenceExperimentDataStorageConfig Text Source #

The Amazon S3 bucket where the inference request and response data is stored.

InferenceExperimentSchedule

data InferenceExperimentSchedule Source #

The start and end times of an inference experiment.

The maximum duration that you can set for an inference experiment is 30 days.

See: newInferenceExperimentSchedule smart constructor.

Constructors

InferenceExperimentSchedule' 

Fields

  • endTime :: Maybe POSIX

    The timestamp at which the inference experiment ended or will end.

  • startTime :: Maybe POSIX

    The timestamp at which the inference experiment started or will start.

Instances

Instances details
FromJSON InferenceExperimentSchedule Source # 
Instance details

Defined in Amazonka.SageMaker.Types.InferenceExperimentSchedule

Methods

parseJSON :: Value -> Parser InferenceExperimentSchedule #

parseJSONList :: Value -> Parser [InferenceExperimentSchedule] #

ToJSON InferenceExperimentSchedule Source # 
Instance details

Defined in Amazonka.SageMaker.Types.InferenceExperimentSchedule

Methods

toJSON :: InferenceExperimentSchedule -> Value #

toEncoding :: InferenceExperimentSchedule -> Encoding #

toJSONList :: [InferenceExperimentSchedule] -> Value #

toEncodingList :: [InferenceExperimentSchedule] -> Encoding #

Generic InferenceExperimentSchedule Source # 
Instance details

Defined in Amazonka.SageMaker.Types.InferenceExperimentSchedule

Associated Types

type Rep InferenceExperimentSchedule :: Type -> Type #

Methods

from :: InferenceExperimentSchedule -> Rep InferenceExperimentSchedule x #

to :: Rep InferenceExperimentSchedule x -> InferenceExperimentSchedule #

Read InferenceExperimentSchedule Source # 
Instance details

Defined in Amazonka.SageMaker.Types.InferenceExperimentSchedule

Methods

readsPrec :: Int -> ReadS InferenceExperimentSchedule #

readList :: ReadS [InferenceExperimentSchedule] #

readPrec :: ReadPrec InferenceExperimentSchedule #

readListPrec :: ReadPrec [InferenceExperimentSchedule] #

Show InferenceExperimentSchedule Source # 
Instance details

Defined in Amazonka.SageMaker.Types.InferenceExperimentSchedule

Methods

showsPrec :: Int -> InferenceExperimentSchedule -> ShowS #

show :: InferenceExperimentSchedule -> String #

showList :: [InferenceExperimentSchedule] -> ShowS #

NFData InferenceExperimentSchedule Source # 
Instance details

Defined in Amazonka.SageMaker.Types.InferenceExperimentSchedule

Methods

rnf :: InferenceExperimentSchedule -> () #

Eq InferenceExperimentSchedule Source # 
Instance details

Defined in Amazonka.SageMaker.Types.InferenceExperimentSchedule

Methods

(==) :: InferenceExperimentSchedule -> InferenceExperimentSchedule -> Bool #

(/=) :: InferenceExperimentSchedule -> InferenceExperimentSchedule -> Bool #

Hashable InferenceExperimentSchedule Source # 
Instance details

Defined in Amazonka.SageMaker.Types.InferenceExperimentSchedule

Methods

hashWithSalt :: Int -> InferenceExperimentSchedule -> Int #

hash :: InferenceExperimentSchedule -> Int #

type Rep InferenceExperimentSchedule Source # 
Instance details

Defined in Amazonka.SageMaker.Types.InferenceExperimentSchedule

type Rep InferenceExperimentSchedule = D1 ('MetaData "InferenceExperimentSchedule" "Amazonka.SageMaker.Types.InferenceExperimentSchedule" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "InferenceExperimentSchedule'" 'PrefixI 'True) (S1 ('MetaSel ('Just "endTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :*: S1 ('MetaSel ('Just "startTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX))))

newInferenceExperimentSchedule :: InferenceExperimentSchedule Source #

Create a value of InferenceExperimentSchedule with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:endTime:InferenceExperimentSchedule', inferenceExperimentSchedule_endTime - The timestamp at which the inference experiment ended or will end.

$sel:startTime:InferenceExperimentSchedule', inferenceExperimentSchedule_startTime - The timestamp at which the inference experiment started or will start.

inferenceExperimentSchedule_endTime :: Lens' InferenceExperimentSchedule (Maybe UTCTime) Source #

The timestamp at which the inference experiment ended or will end.

inferenceExperimentSchedule_startTime :: Lens' InferenceExperimentSchedule (Maybe UTCTime) Source #

The timestamp at which the inference experiment started or will start.

InferenceExperimentSummary

data InferenceExperimentSummary Source #

Lists a summary of properties of an inference experiment.

See: newInferenceExperimentSummary smart constructor.

Constructors

InferenceExperimentSummary' 

Fields

Instances

Instances details
FromJSON InferenceExperimentSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.InferenceExperimentSummary

Methods

parseJSON :: Value -> Parser InferenceExperimentSummary #

parseJSONList :: Value -> Parser [InferenceExperimentSummary] #

Generic InferenceExperimentSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.InferenceExperimentSummary

Associated Types

type Rep InferenceExperimentSummary :: Type -> Type #

Methods

from :: InferenceExperimentSummary -> Rep InferenceExperimentSummary x #

to :: Rep InferenceExperimentSummary x -> InferenceExperimentSummary #

Read InferenceExperimentSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.InferenceExperimentSummary

Methods

readsPrec :: Int -> ReadS InferenceExperimentSummary #

readList :: ReadS [InferenceExperimentSummary] #

readPrec :: ReadPrec InferenceExperimentSummary #

readListPrec :: ReadPrec [InferenceExperimentSummary] #

Show InferenceExperimentSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.InferenceExperimentSummary

Methods

showsPrec :: Int -> InferenceExperimentSummary -> ShowS #

show :: InferenceExperimentSummary -> String #

showList :: [InferenceExperimentSummary] -> ShowS #

NFData InferenceExperimentSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.InferenceExperimentSummary

Methods

rnf :: InferenceExperimentSummary -> () #

Eq InferenceExperimentSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.InferenceExperimentSummary

Methods

(==) :: InferenceExperimentSummary -> InferenceExperimentSummary -> Bool #

(/=) :: InferenceExperimentSummary -> InferenceExperimentSummary -> Bool #

Hashable InferenceExperimentSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.InferenceExperimentSummary

Methods

hashWithSalt :: Int -> InferenceExperimentSummary -> Int #

hash :: InferenceExperimentSummary -> Int #

type Rep InferenceExperimentSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.InferenceExperimentSummary

type Rep InferenceExperimentSummary = D1 ('MetaData "InferenceExperimentSummary" "Amazonka.SageMaker.Types.InferenceExperimentSummary" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "InferenceExperimentSummary'" 'PrefixI 'True) (((S1 ('MetaSel ('Just "completionTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :*: S1 ('MetaSel ('Just "description") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))) :*: (S1 ('MetaSel ('Just "roleArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: (S1 ('MetaSel ('Just "schedule") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe InferenceExperimentSchedule)) :*: S1 ('MetaSel ('Just "statusReason") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))) :*: ((S1 ('MetaSel ('Just "name") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: S1 ('MetaSel ('Just "type'") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 InferenceExperimentType)) :*: (S1 ('MetaSel ('Just "status") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 InferenceExperimentStatus) :*: (S1 ('MetaSel ('Just "creationTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 POSIX) :*: S1 ('MetaSel ('Just "lastModifiedTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 POSIX))))))

newInferenceExperimentSummary Source #

Arguments

:: Text

$sel:name:InferenceExperimentSummary'

-> InferenceExperimentType

$sel:type':InferenceExperimentSummary'

-> InferenceExperimentStatus

$sel:status:InferenceExperimentSummary'

-> UTCTime

$sel:creationTime:InferenceExperimentSummary'

-> UTCTime

$sel:lastModifiedTime:InferenceExperimentSummary'

-> InferenceExperimentSummary 

Create a value of InferenceExperimentSummary with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:completionTime:InferenceExperimentSummary', inferenceExperimentSummary_completionTime - The timestamp at which the inference experiment was completed.

$sel:description:InferenceExperimentSummary', inferenceExperimentSummary_description - The description of the inference experiment.

$sel:roleArn:InferenceExperimentSummary', inferenceExperimentSummary_roleArn - The ARN of the IAM role that Amazon SageMaker can assume to access model artifacts and container images, and manage Amazon SageMaker Inference endpoints for model deployment.

$sel:schedule:InferenceExperimentSummary', inferenceExperimentSummary_schedule - The duration for which the inference experiment ran or will run.

The maximum duration that you can set for an inference experiment is 30 days.

$sel:statusReason:InferenceExperimentSummary', inferenceExperimentSummary_statusReason - The error message for the inference experiment status result.

$sel:name:InferenceExperimentSummary', inferenceExperimentSummary_name - The name of the inference experiment.

$sel:type':InferenceExperimentSummary', inferenceExperimentSummary_type - The type of the inference experiment.

$sel:status:InferenceExperimentSummary', inferenceExperimentSummary_status - The status of the inference experiment.

$sel:creationTime:InferenceExperimentSummary', inferenceExperimentSummary_creationTime - The timestamp at which the inference experiment was created.

$sel:lastModifiedTime:InferenceExperimentSummary', inferenceExperimentSummary_lastModifiedTime - The timestamp when you last modified the inference experiment.

inferenceExperimentSummary_completionTime :: Lens' InferenceExperimentSummary (Maybe UTCTime) Source #

The timestamp at which the inference experiment was completed.

inferenceExperimentSummary_description :: Lens' InferenceExperimentSummary (Maybe Text) Source #

The description of the inference experiment.

inferenceExperimentSummary_roleArn :: Lens' InferenceExperimentSummary (Maybe Text) Source #

The ARN of the IAM role that Amazon SageMaker can assume to access model artifacts and container images, and manage Amazon SageMaker Inference endpoints for model deployment.

inferenceExperimentSummary_schedule :: Lens' InferenceExperimentSummary (Maybe InferenceExperimentSchedule) Source #

The duration for which the inference experiment ran or will run.

The maximum duration that you can set for an inference experiment is 30 days.

inferenceExperimentSummary_statusReason :: Lens' InferenceExperimentSummary (Maybe Text) Source #

The error message for the inference experiment status result.

inferenceExperimentSummary_name :: Lens' InferenceExperimentSummary Text Source #

The name of the inference experiment.

inferenceExperimentSummary_type :: Lens' InferenceExperimentSummary InferenceExperimentType Source #

The type of the inference experiment.

inferenceExperimentSummary_status :: Lens' InferenceExperimentSummary InferenceExperimentStatus Source #

The status of the inference experiment.

inferenceExperimentSummary_creationTime :: Lens' InferenceExperimentSummary UTCTime Source #

The timestamp at which the inference experiment was created.

inferenceExperimentSummary_lastModifiedTime :: Lens' InferenceExperimentSummary UTCTime Source #

The timestamp when you last modified the inference experiment.

InferenceMetrics

data InferenceMetrics Source #

The metrics for an existing endpoint compared in an Inference Recommender job.

See: newInferenceMetrics smart constructor.

Constructors

InferenceMetrics' 

Fields

  • maxInvocations :: Int

    The expected maximum number of requests per minute for the instance.

  • modelLatency :: Int

    The expected model latency at maximum invocations per minute for the instance.

Instances

Instances details
FromJSON InferenceMetrics Source # 
Instance details

Defined in Amazonka.SageMaker.Types.InferenceMetrics

Methods

parseJSON :: Value -> Parser InferenceMetrics #

parseJSONList :: Value -> Parser [InferenceMetrics] #

Generic InferenceMetrics Source # 
Instance details

Defined in Amazonka.SageMaker.Types.InferenceMetrics

Associated Types

type Rep InferenceMetrics :: Type -> Type #

Methods

from :: InferenceMetrics -> Rep InferenceMetrics x #

to :: Rep InferenceMetrics x -> InferenceMetrics #

Read InferenceMetrics Source # 
Instance details

Defined in Amazonka.SageMaker.Types.InferenceMetrics

Methods

readsPrec :: Int -> ReadS InferenceMetrics #

readList :: ReadS [InferenceMetrics] #

readPrec :: ReadPrec InferenceMetrics #

readListPrec :: ReadPrec [InferenceMetrics] #

Show InferenceMetrics Source # 
Instance details

Defined in Amazonka.SageMaker.Types.InferenceMetrics

Methods

showsPrec :: Int -> InferenceMetrics -> ShowS #

show :: InferenceMetrics -> String #

showList :: [InferenceMetrics] -> ShowS #

NFData InferenceMetrics Source # 
Instance details

Defined in Amazonka.SageMaker.Types.InferenceMetrics

Methods

rnf :: InferenceMetrics -> () #

Eq InferenceMetrics Source # 
Instance details

Defined in Amazonka.SageMaker.Types.InferenceMetrics

Methods

(==) :: InferenceMetrics -> InferenceMetrics -> Bool #

(/=) :: InferenceMetrics -> InferenceMetrics -> Bool #

Hashable InferenceMetrics Source # 
Instance details

Defined in Amazonka.SageMaker.Types.InferenceMetrics

Methods

hashWithSalt :: Int -> InferenceMetrics -> Int #

hash :: InferenceMetrics -> Int #

type Rep InferenceMetrics Source # 
Instance details

Defined in Amazonka.SageMaker.Types.InferenceMetrics

type Rep InferenceMetrics = D1 ('MetaData "InferenceMetrics" "Amazonka.SageMaker.Types.InferenceMetrics" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "InferenceMetrics'" 'PrefixI 'True) (S1 ('MetaSel ('Just "maxInvocations") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Int) :*: S1 ('MetaSel ('Just "modelLatency") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Int)))

newInferenceMetrics Source #

Arguments

:: Int

$sel:maxInvocations:InferenceMetrics'

-> Int

$sel:modelLatency:InferenceMetrics'

-> InferenceMetrics 

Create a value of InferenceMetrics with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:maxInvocations:InferenceMetrics', inferenceMetrics_maxInvocations - The expected maximum number of requests per minute for the instance.

$sel:modelLatency:InferenceMetrics', inferenceMetrics_modelLatency - The expected model latency at maximum invocations per minute for the instance.

inferenceMetrics_maxInvocations :: Lens' InferenceMetrics Int Source #

The expected maximum number of requests per minute for the instance.

inferenceMetrics_modelLatency :: Lens' InferenceMetrics Int Source #

The expected model latency at maximum invocations per minute for the instance.

InferenceRecommendation

data InferenceRecommendation Source #

A list of recommendations made by Amazon SageMaker Inference Recommender.

See: newInferenceRecommendation smart constructor.

Constructors

InferenceRecommendation' 

Fields

Instances

Instances details
FromJSON InferenceRecommendation Source # 
Instance details

Defined in Amazonka.SageMaker.Types.InferenceRecommendation

Methods

parseJSON :: Value -> Parser InferenceRecommendation #

parseJSONList :: Value -> Parser [InferenceRecommendation] #

Generic InferenceRecommendation Source # 
Instance details

Defined in Amazonka.SageMaker.Types.InferenceRecommendation

Associated Types

type Rep InferenceRecommendation :: Type -> Type #

Methods

from :: InferenceRecommendation -> Rep InferenceRecommendation x #

to :: Rep InferenceRecommendation x -> InferenceRecommendation #

Read InferenceRecommendation Source # 
Instance details

Defined in Amazonka.SageMaker.Types.InferenceRecommendation

Methods

readsPrec :: Int -> ReadS InferenceRecommendation #

readList :: ReadS [InferenceRecommendation] #

readPrec :: ReadPrec InferenceRecommendation #

readListPrec :: ReadPrec [InferenceRecommendation] #

Show InferenceRecommendation Source # 
Instance details

Defined in Amazonka.SageMaker.Types.InferenceRecommendation

Methods

showsPrec :: Int -> InferenceRecommendation -> ShowS #

show :: InferenceRecommendation -> String #

showList :: [InferenceRecommendation] -> ShowS #

NFData InferenceRecommendation Source # 
Instance details

Defined in Amazonka.SageMaker.Types.InferenceRecommendation

Methods

rnf :: InferenceRecommendation -> () #

Eq InferenceRecommendation Source # 
Instance details

Defined in Amazonka.SageMaker.Types.InferenceRecommendation

Methods

(==) :: InferenceRecommendation -> InferenceRecommendation -> Bool #

(/=) :: InferenceRecommendation -> InferenceRecommendation -> Bool #

Hashable InferenceRecommendation Source # 
Instance details

Defined in Amazonka.SageMaker.Types.InferenceRecommendation

Methods

hashWithSalt :: Int -> InferenceRecommendation -> Int #

hash :: InferenceRecommendation -> Int #

type Rep InferenceRecommendation Source # 
Instance details

Defined in Amazonka.SageMaker.Types.InferenceRecommendation

type Rep InferenceRecommendation = D1 ('MetaData "InferenceRecommendation" "Amazonka.SageMaker.Types.InferenceRecommendation" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "InferenceRecommendation'" 'PrefixI 'True) (S1 ('MetaSel ('Just "metrics") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 RecommendationMetrics) :*: (S1 ('MetaSel ('Just "endpointConfiguration") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 EndpointOutputConfiguration) :*: S1 ('MetaSel ('Just "modelConfiguration") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 ModelConfiguration))))

newInferenceRecommendation Source #

Arguments

:: RecommendationMetrics

$sel:metrics:InferenceRecommendation'

-> EndpointOutputConfiguration

$sel:endpointConfiguration:InferenceRecommendation'

-> ModelConfiguration

$sel:modelConfiguration:InferenceRecommendation'

-> InferenceRecommendation 

Create a value of InferenceRecommendation with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:metrics:InferenceRecommendation', inferenceRecommendation_metrics - The metrics used to decide what recommendation to make.

$sel:endpointConfiguration:InferenceRecommendation', inferenceRecommendation_endpointConfiguration - Defines the endpoint configuration parameters.

$sel:modelConfiguration:InferenceRecommendation', inferenceRecommendation_modelConfiguration - Defines the model configuration.

inferenceRecommendation_metrics :: Lens' InferenceRecommendation RecommendationMetrics Source #

The metrics used to decide what recommendation to make.

inferenceRecommendation_endpointConfiguration :: Lens' InferenceRecommendation EndpointOutputConfiguration Source #

Defines the endpoint configuration parameters.

inferenceRecommendation_modelConfiguration :: Lens' InferenceRecommendation ModelConfiguration Source #

Defines the model configuration.

InferenceRecommendationsJob

data InferenceRecommendationsJob Source #

A structure that contains a list of recommendation jobs.

See: newInferenceRecommendationsJob smart constructor.

Constructors

InferenceRecommendationsJob' 

Fields

Instances

Instances details
FromJSON InferenceRecommendationsJob Source # 
Instance details

Defined in Amazonka.SageMaker.Types.InferenceRecommendationsJob

Methods

parseJSON :: Value -> Parser InferenceRecommendationsJob #

parseJSONList :: Value -> Parser [InferenceRecommendationsJob] #

Generic InferenceRecommendationsJob Source # 
Instance details

Defined in Amazonka.SageMaker.Types.InferenceRecommendationsJob

Associated Types

type Rep InferenceRecommendationsJob :: Type -> Type #

Methods

from :: InferenceRecommendationsJob -> Rep InferenceRecommendationsJob x #

to :: Rep InferenceRecommendationsJob x -> InferenceRecommendationsJob #

Read InferenceRecommendationsJob Source # 
Instance details

Defined in Amazonka.SageMaker.Types.InferenceRecommendationsJob

Methods

readsPrec :: Int -> ReadS InferenceRecommendationsJob #

readList :: ReadS [InferenceRecommendationsJob] #

readPrec :: ReadPrec InferenceRecommendationsJob #

readListPrec :: ReadPrec [InferenceRecommendationsJob] #

Show InferenceRecommendationsJob Source # 
Instance details

Defined in Amazonka.SageMaker.Types.InferenceRecommendationsJob

Methods

showsPrec :: Int -> InferenceRecommendationsJob -> ShowS #

show :: InferenceRecommendationsJob -> String #

showList :: [InferenceRecommendationsJob] -> ShowS #

NFData InferenceRecommendationsJob Source # 
Instance details

Defined in Amazonka.SageMaker.Types.InferenceRecommendationsJob

Methods

rnf :: InferenceRecommendationsJob -> () #

Eq InferenceRecommendationsJob Source # 
Instance details

Defined in Amazonka.SageMaker.Types.InferenceRecommendationsJob

Methods

(==) :: InferenceRecommendationsJob -> InferenceRecommendationsJob -> Bool #

(/=) :: InferenceRecommendationsJob -> InferenceRecommendationsJob -> Bool #

Hashable InferenceRecommendationsJob Source # 
Instance details

Defined in Amazonka.SageMaker.Types.InferenceRecommendationsJob

Methods

hashWithSalt :: Int -> InferenceRecommendationsJob -> Int #

hash :: InferenceRecommendationsJob -> Int #

type Rep InferenceRecommendationsJob Source # 
Instance details

Defined in Amazonka.SageMaker.Types.InferenceRecommendationsJob

type Rep InferenceRecommendationsJob = D1 ('MetaData "InferenceRecommendationsJob" "Amazonka.SageMaker.Types.InferenceRecommendationsJob" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "InferenceRecommendationsJob'" 'PrefixI 'True) (((S1 ('MetaSel ('Just "completionTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :*: S1 ('MetaSel ('Just "failureReason") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))) :*: (S1 ('MetaSel ('Just "jobName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: (S1 ('MetaSel ('Just "jobDescription") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: S1 ('MetaSel ('Just "jobType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 RecommendationJobType)))) :*: ((S1 ('MetaSel ('Just "jobArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: S1 ('MetaSel ('Just "status") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 RecommendationJobStatus)) :*: (S1 ('MetaSel ('Just "creationTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 POSIX) :*: (S1 ('MetaSel ('Just "roleArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: S1 ('MetaSel ('Just "lastModifiedTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 POSIX))))))

newInferenceRecommendationsJob Source #

Arguments

:: Text

$sel:jobName:InferenceRecommendationsJob'

-> Text

$sel:jobDescription:InferenceRecommendationsJob'

-> RecommendationJobType

$sel:jobType:InferenceRecommendationsJob'

-> Text

$sel:jobArn:InferenceRecommendationsJob'

-> RecommendationJobStatus

$sel:status:InferenceRecommendationsJob'

-> UTCTime

$sel:creationTime:InferenceRecommendationsJob'

-> Text

$sel:roleArn:InferenceRecommendationsJob'

-> UTCTime

$sel:lastModifiedTime:InferenceRecommendationsJob'

-> InferenceRecommendationsJob 

Create a value of InferenceRecommendationsJob with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:completionTime:InferenceRecommendationsJob', inferenceRecommendationsJob_completionTime - A timestamp that shows when the job completed.

$sel:failureReason:InferenceRecommendationsJob', inferenceRecommendationsJob_failureReason - If the job fails, provides information why the job failed.

$sel:jobName:InferenceRecommendationsJob', inferenceRecommendationsJob_jobName - The name of the job.

$sel:jobDescription:InferenceRecommendationsJob', inferenceRecommendationsJob_jobDescription - The job description.

$sel:jobType:InferenceRecommendationsJob', inferenceRecommendationsJob_jobType - The recommendation job type.

$sel:jobArn:InferenceRecommendationsJob', inferenceRecommendationsJob_jobArn - The Amazon Resource Name (ARN) of the recommendation job.

$sel:status:InferenceRecommendationsJob', inferenceRecommendationsJob_status - The status of the job.

$sel:creationTime:InferenceRecommendationsJob', inferenceRecommendationsJob_creationTime - A timestamp that shows when the job was created.

$sel:roleArn:InferenceRecommendationsJob', inferenceRecommendationsJob_roleArn - The Amazon Resource Name (ARN) of an IAM role that enables Amazon SageMaker to perform tasks on your behalf.

$sel:lastModifiedTime:InferenceRecommendationsJob', inferenceRecommendationsJob_lastModifiedTime - A timestamp that shows when the job was last modified.

inferenceRecommendationsJob_completionTime :: Lens' InferenceRecommendationsJob (Maybe UTCTime) Source #

A timestamp that shows when the job completed.

inferenceRecommendationsJob_failureReason :: Lens' InferenceRecommendationsJob (Maybe Text) Source #

If the job fails, provides information why the job failed.

inferenceRecommendationsJob_jobName :: Lens' InferenceRecommendationsJob Text Source #

The name of the job.

inferenceRecommendationsJob_jobDescription :: Lens' InferenceRecommendationsJob Text Source #

The job description.

inferenceRecommendationsJob_jobType :: Lens' InferenceRecommendationsJob RecommendationJobType Source #

The recommendation job type.

inferenceRecommendationsJob_jobArn :: Lens' InferenceRecommendationsJob Text Source #

The Amazon Resource Name (ARN) of the recommendation job.

inferenceRecommendationsJob_status :: Lens' InferenceRecommendationsJob RecommendationJobStatus Source #

The status of the job.

inferenceRecommendationsJob_creationTime :: Lens' InferenceRecommendationsJob UTCTime Source #

A timestamp that shows when the job was created.

inferenceRecommendationsJob_roleArn :: Lens' InferenceRecommendationsJob Text Source #

The Amazon Resource Name (ARN) of an IAM role that enables Amazon SageMaker to perform tasks on your behalf.

inferenceRecommendationsJob_lastModifiedTime :: Lens' InferenceRecommendationsJob UTCTime Source #

A timestamp that shows when the job was last modified.

InferenceRecommendationsJobStep

data InferenceRecommendationsJobStep Source #

A returned array object for the Steps response field in the ListInferenceRecommendationsJobSteps API command.

See: newInferenceRecommendationsJobStep smart constructor.

Constructors

InferenceRecommendationsJobStep' 

Fields

Instances

Instances details
FromJSON InferenceRecommendationsJobStep Source # 
Instance details

Defined in Amazonka.SageMaker.Types.InferenceRecommendationsJobStep

Methods

parseJSON :: Value -> Parser InferenceRecommendationsJobStep #

parseJSONList :: Value -> Parser [InferenceRecommendationsJobStep] #

Generic InferenceRecommendationsJobStep Source # 
Instance details

Defined in Amazonka.SageMaker.Types.InferenceRecommendationsJobStep

Associated Types

type Rep InferenceRecommendationsJobStep :: Type -> Type #

Methods

from :: InferenceRecommendationsJobStep -> Rep InferenceRecommendationsJobStep x #

to :: Rep InferenceRecommendationsJobStep x -> InferenceRecommendationsJobStep #

Read InferenceRecommendationsJobStep Source # 
Instance details

Defined in Amazonka.SageMaker.Types.InferenceRecommendationsJobStep

Methods

readsPrec :: Int -> ReadS InferenceRecommendationsJobStep #

readList :: ReadS [InferenceRecommendationsJobStep] #

readPrec :: ReadPrec InferenceRecommendationsJobStep #

readListPrec :: ReadPrec [InferenceRecommendationsJobStep] #

Show InferenceRecommendationsJobStep Source # 
Instance details

Defined in Amazonka.SageMaker.Types.InferenceRecommendationsJobStep

Methods

showsPrec :: Int -> InferenceRecommendationsJobStep -> ShowS #

show :: InferenceRecommendationsJobStep -> String #

showList :: [InferenceRecommendationsJobStep] -> ShowS #

NFData InferenceRecommendationsJobStep Source # 
Instance details

Defined in Amazonka.SageMaker.Types.InferenceRecommendationsJobStep

Methods

rnf :: InferenceRecommendationsJobStep -> () #

Eq InferenceRecommendationsJobStep Source # 
Instance details

Defined in Amazonka.SageMaker.Types.InferenceRecommendationsJobStep

Methods

(==) :: InferenceRecommendationsJobStep -> InferenceRecommendationsJobStep -> Bool #

(/=) :: InferenceRecommendationsJobStep -> InferenceRecommendationsJobStep -> Bool #

Hashable InferenceRecommendationsJobStep Source # 
Instance details

Defined in Amazonka.SageMaker.Types.InferenceRecommendationsJobStep

Methods

hashWithSalt :: Int -> InferenceRecommendationsJobStep -> Int #

hash :: InferenceRecommendationsJobStep -> Int #

type Rep InferenceRecommendationsJobStep Source # 
Instance details

Defined in Amazonka.SageMaker.Types.InferenceRecommendationsJobStep

type Rep InferenceRecommendationsJobStep = D1 ('MetaData "InferenceRecommendationsJobStep" "Amazonka.SageMaker.Types.InferenceRecommendationsJobStep" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "InferenceRecommendationsJobStep'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "inferenceBenchmark") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe RecommendationJobInferenceBenchmark)) :*: S1 ('MetaSel ('Just "stepType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 RecommendationStepType)) :*: (S1 ('MetaSel ('Just "jobName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: S1 ('MetaSel ('Just "status") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 RecommendationJobStatus))))

newInferenceRecommendationsJobStep Source #

Arguments

:: RecommendationStepType

$sel:stepType:InferenceRecommendationsJobStep'

-> Text

$sel:jobName:InferenceRecommendationsJobStep'

-> RecommendationJobStatus

$sel:status:InferenceRecommendationsJobStep'

-> InferenceRecommendationsJobStep 

Create a value of InferenceRecommendationsJobStep with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:inferenceBenchmark:InferenceRecommendationsJobStep', inferenceRecommendationsJobStep_inferenceBenchmark - The details for a specific benchmark.

$sel:stepType:InferenceRecommendationsJobStep', inferenceRecommendationsJobStep_stepType - The type of the subtask.

BENCHMARK: Evaluate the performance of your model on different instance types.

$sel:jobName:InferenceRecommendationsJobStep', inferenceRecommendationsJobStep_jobName - The name of the Inference Recommender job.

$sel:status:InferenceRecommendationsJobStep', inferenceRecommendationsJobStep_status - The current status of the benchmark.

inferenceRecommendationsJobStep_inferenceBenchmark :: Lens' InferenceRecommendationsJobStep (Maybe RecommendationJobInferenceBenchmark) Source #

The details for a specific benchmark.

inferenceRecommendationsJobStep_stepType :: Lens' InferenceRecommendationsJobStep RecommendationStepType Source #

The type of the subtask.

BENCHMARK: Evaluate the performance of your model on different instance types.

inferenceRecommendationsJobStep_jobName :: Lens' InferenceRecommendationsJobStep Text Source #

The name of the Inference Recommender job.

inferenceRecommendationsJobStep_status :: Lens' InferenceRecommendationsJobStep RecommendationJobStatus Source #

The current status of the benchmark.

InferenceSpecification

data InferenceSpecification Source #

Defines how to perform inference generation after a training job is run.

See: newInferenceSpecification smart constructor.

Constructors

InferenceSpecification' 

Fields

Instances

Instances details
FromJSON InferenceSpecification Source # 
Instance details

Defined in Amazonka.SageMaker.Types.InferenceSpecification

Methods

parseJSON :: Value -> Parser InferenceSpecification #

parseJSONList :: Value -> Parser [InferenceSpecification] #

ToJSON InferenceSpecification Source # 
Instance details

Defined in Amazonka.SageMaker.Types.InferenceSpecification

Methods

toJSON :: InferenceSpecification -> Value #

toEncoding :: InferenceSpecification -> Encoding #

toJSONList :: [InferenceSpecification] -> Value #

toEncodingList :: [InferenceSpecification] -> Encoding #

Generic InferenceSpecification Source # 
Instance details

Defined in Amazonka.SageMaker.Types.InferenceSpecification

Associated Types

type Rep InferenceSpecification :: Type -> Type #

Methods

from :: InferenceSpecification -> Rep InferenceSpecification x #

to :: Rep InferenceSpecification x -> InferenceSpecification #

Read InferenceSpecification Source # 
Instance details

Defined in Amazonka.SageMaker.Types.InferenceSpecification

Methods

readsPrec :: Int -> ReadS InferenceSpecification #

readList :: ReadS [InferenceSpecification] #

readPrec :: ReadPrec InferenceSpecification #

readListPrec :: ReadPrec [InferenceSpecification] #

Show InferenceSpecification Source # 
Instance details

Defined in Amazonka.SageMaker.Types.InferenceSpecification

Methods

showsPrec :: Int -> InferenceSpecification -> ShowS #

show :: InferenceSpecification -> String #

showList :: [InferenceSpecification] -> ShowS #

NFData InferenceSpecification Source # 
Instance details

Defined in Amazonka.SageMaker.Types.InferenceSpecification

Methods

rnf :: InferenceSpecification -> () #

Eq InferenceSpecification Source # 
Instance details

Defined in Amazonka.SageMaker.Types.InferenceSpecification

Methods

(==) :: InferenceSpecification -> InferenceSpecification -> Bool #

(/=) :: InferenceSpecification -> InferenceSpecification -> Bool #

Hashable InferenceSpecification Source # 
Instance details

Defined in Amazonka.SageMaker.Types.InferenceSpecification

Methods

hashWithSalt :: Int -> InferenceSpecification -> Int #

hash :: InferenceSpecification -> Int #

type Rep InferenceSpecification Source # 
Instance details

Defined in Amazonka.SageMaker.Types.InferenceSpecification

type Rep InferenceSpecification = D1 ('MetaData "InferenceSpecification" "Amazonka.SageMaker.Types.InferenceSpecification" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "InferenceSpecification'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "supportedRealtimeInferenceInstanceTypes") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [ProductionVariantInstanceType])) :*: S1 ('MetaSel ('Just "supportedTransformInstanceTypes") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe (NonEmpty TransformInstanceType)))) :*: (S1 ('MetaSel ('Just "containers") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (NonEmpty ModelPackageContainerDefinition)) :*: (S1 ('MetaSel ('Just "supportedContentTypes") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 [Text]) :*: S1 ('MetaSel ('Just "supportedResponseMIMETypes") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 [Text])))))

newInferenceSpecification Source #

Arguments

:: NonEmpty ModelPackageContainerDefinition

$sel:containers:InferenceSpecification'

-> InferenceSpecification 

Create a value of InferenceSpecification with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:supportedRealtimeInferenceInstanceTypes:InferenceSpecification', inferenceSpecification_supportedRealtimeInferenceInstanceTypes - A list of the instance types that are used to generate inferences in real-time.

This parameter is required for unversioned models, and optional for versioned models.

$sel:supportedTransformInstanceTypes:InferenceSpecification', inferenceSpecification_supportedTransformInstanceTypes - A list of the instance types on which a transformation job can be run or on which an endpoint can be deployed.

This parameter is required for unversioned models, and optional for versioned models.

$sel:containers:InferenceSpecification', inferenceSpecification_containers - The Amazon ECR registry path of the Docker image that contains the inference code.

$sel:supportedContentTypes:InferenceSpecification', inferenceSpecification_supportedContentTypes - The supported MIME types for the input data.

$sel:supportedResponseMIMETypes:InferenceSpecification', inferenceSpecification_supportedResponseMIMETypes - The supported MIME types for the output data.

inferenceSpecification_supportedRealtimeInferenceInstanceTypes :: Lens' InferenceSpecification (Maybe [ProductionVariantInstanceType]) Source #

A list of the instance types that are used to generate inferences in real-time.

This parameter is required for unversioned models, and optional for versioned models.

inferenceSpecification_supportedTransformInstanceTypes :: Lens' InferenceSpecification (Maybe (NonEmpty TransformInstanceType)) Source #

A list of the instance types on which a transformation job can be run or on which an endpoint can be deployed.

This parameter is required for unversioned models, and optional for versioned models.

inferenceSpecification_containers :: Lens' InferenceSpecification (NonEmpty ModelPackageContainerDefinition) Source #

The Amazon ECR registry path of the Docker image that contains the inference code.

inferenceSpecification_supportedContentTypes :: Lens' InferenceSpecification [Text] Source #

The supported MIME types for the input data.

inferenceSpecification_supportedResponseMIMETypes :: Lens' InferenceSpecification [Text] Source #

The supported MIME types for the output data.

InputConfig

data InputConfig Source #

Contains information about the location of input model artifacts, the name and shape of the expected data inputs, and the framework in which the model was trained.

See: newInputConfig smart constructor.

Constructors

InputConfig' 

Fields

  • frameworkVersion :: Maybe Text

    Specifies the framework version to use. This API field is only supported for the MXNet, PyTorch, TensorFlow and TensorFlow Lite frameworks.

    For information about framework versions supported for cloud targets and edge devices, see Cloud Supported Instance Types and Frameworks and Edge Supported Frameworks.

  • s3Uri :: Text

    The S3 path where the model artifacts, which result from model training, are stored. This path must point to a single gzip compressed tar archive (.tar.gz suffix).

  • dataInputConfig :: Text

    Specifies the name and shape of the expected data inputs for your trained model with a JSON dictionary form. The data inputs are InputConfig$Framework specific.

    • TensorFlow: You must specify the name and shape (NHWC format) of the expected data inputs using a dictionary format for your trained model. The dictionary formats required for the console and CLI are different.

      • Examples for one input:

        • If using the console, {"input":[1,1024,1024,3]}
        • If using the CLI, {\"input\":[1,1024,1024,3]}

      • Examples for two inputs:

        • If using the console, {"data1": [1,28,28,1], "data2":[1,28,28,1]}
        • If using the CLI, {\"data1\": [1,28,28,1], \"data2\":[1,28,28,1]}

    • KERAS: You must specify the name and shape (NCHW format) of expected data inputs using a dictionary format for your trained model. Note that while Keras model artifacts should be uploaded in NHWC (channel-last) format, DataInputConfig should be specified in NCHW (channel-first) format. The dictionary formats required for the console and CLI are different.

      • Examples for one input:

        • If using the console, {"input_1":[1,3,224,224]}
        • If using the CLI, {\"input_1\":[1,3,224,224]}

      • Examples for two inputs:

        • If using the console, {"input_1": [1,3,224,224], "input_2":[1,3,224,224]}
        • If using the CLI, {\"input_1\": [1,3,224,224], \"input_2\":[1,3,224,224]}

    • MXNET/ONNX/DARKNET: You must specify the name and shape (NCHW format) of the expected data inputs in order using a dictionary format for your trained model. The dictionary formats required for the console and CLI are different.

      • Examples for one input:

        • If using the console, {"data":[1,3,1024,1024]}
        • If using the CLI, {\"data\":[1,3,1024,1024]}

      • Examples for two inputs:

        • If using the console, {"var1": [1,1,28,28], "var2":[1,1,28,28]}
        • If using the CLI, {\"var1\": [1,1,28,28], \"var2\":[1,1,28,28]}

    • PyTorch: You can either specify the name and shape (NCHW format) of expected data inputs in order using a dictionary format for your trained model or you can specify the shape only using a list format. The dictionary formats required for the console and CLI are different. The list formats for the console and CLI are the same.

      • Examples for one input in dictionary format:

        • If using the console, {"input0":[1,3,224,224]}
        • If using the CLI, {\"input0\":[1,3,224,224]}
      • Example for one input in list format: [[1,3,224,224]]

      • Examples for two inputs in dictionary format:

        • If using the console, {"input0":[1,3,224,224], "input1":[1,3,224,224]}
        • If using the CLI, {\"input0\":[1,3,224,224], \"input1\":[1,3,224,224]}
      • Example for two inputs in list format: [[1,3,224,224], [1,3,224,224]]
    • XGBOOST: input data name and shape are not needed.

    DataInputConfig supports the following parameters for CoreML OutputConfig$TargetDevice (ML Model format):

    • shape: Input shape, for example {"input_1": {"shape": [1,224,224,3]}}. In addition to static input shapes, CoreML converter supports Flexible input shapes:

      • Range Dimension. You can use the Range Dimension feature if you know the input shape will be within some specific interval in that dimension, for example: {"input_1": {"shape": ["1..10", 224, 224, 3]}}
      • Enumerated shapes. Sometimes, the models are trained to work only on a select set of inputs. You can enumerate all supported input shapes, for example: {"input_1": {"shape": [[1, 224, 224, 3], [1, 160, 160, 3]]}}
    • default_shape: Default input shape. You can set a default shape during conversion for both Range Dimension and Enumerated Shapes. For example {"input_1": {"shape": ["1..10", 224, 224, 3], "default_shape": [1, 224, 224, 3]}}
    • type: Input type. Allowed values: Image and Tensor. By default, the converter generates an ML Model with inputs of type Tensor (MultiArray). User can set input type to be Image. Image input type requires additional input parameters such as bias and scale.
    • bias: If the input type is an Image, you need to provide the bias vector.
    • scale: If the input type is an Image, you need to provide a scale factor.

    CoreML ClassifierConfig parameters can be specified using OutputConfig$CompilerOptions. CoreML converter supports Tensorflow and PyTorch models. CoreML conversion examples:

    • Tensor type input:

      • "DataInputConfig": {"input_1": {"shape": [[1,224,224,3], [1,160,160,3]], "default_shape": [1,224,224,3]}}

    • Tensor type input without input name (PyTorch):

      • "DataInputConfig": [{"shape": [[1,3,224,224], [1,3,160,160]], "default_shape": [1,3,224,224]}]

    • Image type input:

      • "DataInputConfig": {"input_1": {"shape": [[1,224,224,3], [1,160,160,3]], "default_shape": [1,224,224,3], "type": "Image", "bias": [-1,-1,-1], "scale": 0.007843137255}}
      • "CompilerOptions": {"class_labels": "imagenet_labels_1000.txt"}

    • Image type input without input name (PyTorch):

      • "DataInputConfig": [{"shape": [[1,3,224,224], [1,3,160,160]], "default_shape": [1,3,224,224], "type": "Image", "bias": [-1,-1,-1], "scale": 0.007843137255}]
      • "CompilerOptions": {"class_labels": "imagenet_labels_1000.txt"}

    Depending on the model format, DataInputConfig requires the following parameters for ml_eia2 OutputConfig:TargetDevice.

    • For TensorFlow models saved in the SavedModel format, specify the input names from signature_def_key and the input model shapes for DataInputConfig. Specify the signature_def_key in OutputConfig:CompilerOptions if the model does not use TensorFlow's default signature def key. For example:

      • "DataInputConfig": {"inputs": [1, 224, 224, 3]}
      • "CompilerOptions": {"signature_def_key": "serving_custom"}

    • For TensorFlow models saved as a frozen graph, specify the input tensor names and shapes in DataInputConfig and the output tensor names for output_names in OutputConfig:CompilerOptions . For example:

      • "DataInputConfig": {"input_tensor:0": [1, 224, 224, 3]}
      • "CompilerOptions": {"output_names": ["output_tensor:0"]}
  • framework :: Framework

    Identifies the framework in which the model was trained. For example: TENSORFLOW.

Instances

Instances details
FromJSON InputConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.InputConfig

Methods

parseJSON :: Value -> Parser InputConfig #

parseJSONList :: Value -> Parser [InputConfig] #

ToJSON InputConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.InputConfig

Methods

toJSON :: InputConfig -> Value #

toEncoding :: InputConfig -> Encoding #

toJSONList :: [InputConfig] -> Value #

toEncodingList :: [InputConfig] -> Encoding #

Generic InputConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.InputConfig

Associated Types

type Rep InputConfig :: Type -> Type #

Methods

from :: InputConfig -> Rep InputConfig x #

to :: Rep InputConfig x -> InputConfig #

Read InputConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.InputConfig

Methods

readsPrec :: Int -> ReadS InputConfig #

readList :: ReadS [InputConfig] #

readPrec :: ReadPrec InputConfig #

readListPrec :: ReadPrec [InputConfig] #

Show InputConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.InputConfig

Methods

showsPrec :: Int -> InputConfig -> ShowS #

show :: InputConfig -> String #

showList :: [InputConfig] -> ShowS #

NFData InputConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.InputConfig

Methods

rnf :: InputConfig -> () #

Eq InputConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.InputConfig

Methods

(==) :: InputConfig -> InputConfig -> Bool #

(/=) :: InputConfig -> InputConfig -> Bool #

Hashable InputConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.InputConfig

Methods

hashWithSalt :: Int -> InputConfig -> Int #

hash :: InputConfig -> Int #

type Rep InputConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.InputConfig

type Rep InputConfig = D1 ('MetaData "InputConfig" "Amazonka.SageMaker.Types.InputConfig" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "InputConfig'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "frameworkVersion") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "s3Uri") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)) :*: (S1 ('MetaSel ('Just "dataInputConfig") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: S1 ('MetaSel ('Just "framework") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Framework))))

newInputConfig Source #

Arguments

:: Text

$sel:s3Uri:InputConfig'

-> Text

$sel:dataInputConfig:InputConfig'

-> Framework

$sel:framework:InputConfig'

-> InputConfig 

Create a value of InputConfig with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:frameworkVersion:InputConfig', inputConfig_frameworkVersion - Specifies the framework version to use. This API field is only supported for the MXNet, PyTorch, TensorFlow and TensorFlow Lite frameworks.

For information about framework versions supported for cloud targets and edge devices, see Cloud Supported Instance Types and Frameworks and Edge Supported Frameworks.

$sel:s3Uri:InputConfig', inputConfig_s3Uri - The S3 path where the model artifacts, which result from model training, are stored. This path must point to a single gzip compressed tar archive (.tar.gz suffix).

$sel:dataInputConfig:InputConfig', inputConfig_dataInputConfig - Specifies the name and shape of the expected data inputs for your trained model with a JSON dictionary form. The data inputs are InputConfig$Framework specific.

  • TensorFlow: You must specify the name and shape (NHWC format) of the expected data inputs using a dictionary format for your trained model. The dictionary formats required for the console and CLI are different.

    • Examples for one input:

      • If using the console, {"input":[1,1024,1024,3]}
      • If using the CLI, {\"input\":[1,1024,1024,3]}

    • Examples for two inputs:

      • If using the console, {"data1": [1,28,28,1], "data2":[1,28,28,1]}
      • If using the CLI, {\"data1\": [1,28,28,1], \"data2\":[1,28,28,1]}

  • KERAS: You must specify the name and shape (NCHW format) of expected data inputs using a dictionary format for your trained model. Note that while Keras model artifacts should be uploaded in NHWC (channel-last) format, DataInputConfig should be specified in NCHW (channel-first) format. The dictionary formats required for the console and CLI are different.

    • Examples for one input:

      • If using the console, {"input_1":[1,3,224,224]}
      • If using the CLI, {\"input_1\":[1,3,224,224]}

    • Examples for two inputs:

      • If using the console, {"input_1": [1,3,224,224], "input_2":[1,3,224,224]}
      • If using the CLI, {\"input_1\": [1,3,224,224], \"input_2\":[1,3,224,224]}

  • MXNET/ONNX/DARKNET: You must specify the name and shape (NCHW format) of the expected data inputs in order using a dictionary format for your trained model. The dictionary formats required for the console and CLI are different.

    • Examples for one input:

      • If using the console, {"data":[1,3,1024,1024]}
      • If using the CLI, {\"data\":[1,3,1024,1024]}

    • Examples for two inputs:

      • If using the console, {"var1": [1,1,28,28], "var2":[1,1,28,28]}
      • If using the CLI, {\"var1\": [1,1,28,28], \"var2\":[1,1,28,28]}

  • PyTorch: You can either specify the name and shape (NCHW format) of expected data inputs in order using a dictionary format for your trained model or you can specify the shape only using a list format. The dictionary formats required for the console and CLI are different. The list formats for the console and CLI are the same.

    • Examples for one input in dictionary format:

      • If using the console, {"input0":[1,3,224,224]}
      • If using the CLI, {\"input0\":[1,3,224,224]}
    • Example for one input in list format: [[1,3,224,224]]

    • Examples for two inputs in dictionary format:

      • If using the console, {"input0":[1,3,224,224], "input1":[1,3,224,224]}
      • If using the CLI, {\"input0\":[1,3,224,224], \"input1\":[1,3,224,224]}
    • Example for two inputs in list format: [[1,3,224,224], [1,3,224,224]]
  • XGBOOST: input data name and shape are not needed.

DataInputConfig supports the following parameters for CoreML OutputConfig$TargetDevice (ML Model format):

  • shape: Input shape, for example {"input_1": {"shape": [1,224,224,3]}}. In addition to static input shapes, CoreML converter supports Flexible input shapes:

    • Range Dimension. You can use the Range Dimension feature if you know the input shape will be within some specific interval in that dimension, for example: {"input_1": {"shape": ["1..10", 224, 224, 3]}}
    • Enumerated shapes. Sometimes, the models are trained to work only on a select set of inputs. You can enumerate all supported input shapes, for example: {"input_1": {"shape": [[1, 224, 224, 3], [1, 160, 160, 3]]}}
  • default_shape: Default input shape. You can set a default shape during conversion for both Range Dimension and Enumerated Shapes. For example {"input_1": {"shape": ["1..10", 224, 224, 3], "default_shape": [1, 224, 224, 3]}}
  • type: Input type. Allowed values: Image and Tensor. By default, the converter generates an ML Model with inputs of type Tensor (MultiArray). User can set input type to be Image. Image input type requires additional input parameters such as bias and scale.
  • bias: If the input type is an Image, you need to provide the bias vector.
  • scale: If the input type is an Image, you need to provide a scale factor.

CoreML ClassifierConfig parameters can be specified using OutputConfig$CompilerOptions. CoreML converter supports Tensorflow and PyTorch models. CoreML conversion examples:

  • Tensor type input:

    • "DataInputConfig": {"input_1": {"shape": [[1,224,224,3], [1,160,160,3]], "default_shape": [1,224,224,3]}}

  • Tensor type input without input name (PyTorch):

    • "DataInputConfig": [{"shape": [[1,3,224,224], [1,3,160,160]], "default_shape": [1,3,224,224]}]

  • Image type input:

    • "DataInputConfig": {"input_1": {"shape": [[1,224,224,3], [1,160,160,3]], "default_shape": [1,224,224,3], "type": "Image", "bias": [-1,-1,-1], "scale": 0.007843137255}}
    • "CompilerOptions": {"class_labels": "imagenet_labels_1000.txt"}

  • Image type input without input name (PyTorch):

    • "DataInputConfig": [{"shape": [[1,3,224,224], [1,3,160,160]], "default_shape": [1,3,224,224], "type": "Image", "bias": [-1,-1,-1], "scale": 0.007843137255}]
    • "CompilerOptions": {"class_labels": "imagenet_labels_1000.txt"}

Depending on the model format, DataInputConfig requires the following parameters for ml_eia2 OutputConfig:TargetDevice.

  • For TensorFlow models saved in the SavedModel format, specify the input names from signature_def_key and the input model shapes for DataInputConfig. Specify the signature_def_key in OutputConfig:CompilerOptions if the model does not use TensorFlow's default signature def key. For example:

    • "DataInputConfig": {"inputs": [1, 224, 224, 3]}
    • "CompilerOptions": {"signature_def_key": "serving_custom"}

  • For TensorFlow models saved as a frozen graph, specify the input tensor names and shapes in DataInputConfig and the output tensor names for output_names in OutputConfig:CompilerOptions . For example:

    • "DataInputConfig": {"input_tensor:0": [1, 224, 224, 3]}
    • "CompilerOptions": {"output_names": ["output_tensor:0"]}

$sel:framework:InputConfig', inputConfig_framework - Identifies the framework in which the model was trained. For example: TENSORFLOW.

inputConfig_frameworkVersion :: Lens' InputConfig (Maybe Text) Source #

Specifies the framework version to use. This API field is only supported for the MXNet, PyTorch, TensorFlow and TensorFlow Lite frameworks.

For information about framework versions supported for cloud targets and edge devices, see Cloud Supported Instance Types and Frameworks and Edge Supported Frameworks.

inputConfig_s3Uri :: Lens' InputConfig Text Source #

The S3 path where the model artifacts, which result from model training, are stored. This path must point to a single gzip compressed tar archive (.tar.gz suffix).

inputConfig_dataInputConfig :: Lens' InputConfig Text Source #

Specifies the name and shape of the expected data inputs for your trained model with a JSON dictionary form. The data inputs are InputConfig$Framework specific.

  • TensorFlow: You must specify the name and shape (NHWC format) of the expected data inputs using a dictionary format for your trained model. The dictionary formats required for the console and CLI are different.

    • Examples for one input:

      • If using the console, {"input":[1,1024,1024,3]}
      • If using the CLI, {\"input\":[1,1024,1024,3]}

    • Examples for two inputs:

      • If using the console, {"data1": [1,28,28,1], "data2":[1,28,28,1]}
      • If using the CLI, {\"data1\": [1,28,28,1], \"data2\":[1,28,28,1]}

  • KERAS: You must specify the name and shape (NCHW format) of expected data inputs using a dictionary format for your trained model. Note that while Keras model artifacts should be uploaded in NHWC (channel-last) format, DataInputConfig should be specified in NCHW (channel-first) format. The dictionary formats required for the console and CLI are different.

    • Examples for one input:

      • If using the console, {"input_1":[1,3,224,224]}
      • If using the CLI, {\"input_1\":[1,3,224,224]}

    • Examples for two inputs:

      • If using the console, {"input_1": [1,3,224,224], "input_2":[1,3,224,224]}
      • If using the CLI, {\"input_1\": [1,3,224,224], \"input_2\":[1,3,224,224]}

  • MXNET/ONNX/DARKNET: You must specify the name and shape (NCHW format) of the expected data inputs in order using a dictionary format for your trained model. The dictionary formats required for the console and CLI are different.

    • Examples for one input:

      • If using the console, {"data":[1,3,1024,1024]}
      • If using the CLI, {\"data\":[1,3,1024,1024]}

    • Examples for two inputs:

      • If using the console, {"var1": [1,1,28,28], "var2":[1,1,28,28]}
      • If using the CLI, {\"var1\": [1,1,28,28], \"var2\":[1,1,28,28]}

  • PyTorch: You can either specify the name and shape (NCHW format) of expected data inputs in order using a dictionary format for your trained model or you can specify the shape only using a list format. The dictionary formats required for the console and CLI are different. The list formats for the console and CLI are the same.

    • Examples for one input in dictionary format:

      • If using the console, {"input0":[1,3,224,224]}
      • If using the CLI, {\"input0\":[1,3,224,224]}
    • Example for one input in list format: [[1,3,224,224]]

    • Examples for two inputs in dictionary format:

      • If using the console, {"input0":[1,3,224,224], "input1":[1,3,224,224]}
      • If using the CLI, {\"input0\":[1,3,224,224], \"input1\":[1,3,224,224]}
    • Example for two inputs in list format: [[1,3,224,224], [1,3,224,224]]
  • XGBOOST: input data name and shape are not needed.

DataInputConfig supports the following parameters for CoreML OutputConfig$TargetDevice (ML Model format):

  • shape: Input shape, for example {"input_1": {"shape": [1,224,224,3]}}. In addition to static input shapes, CoreML converter supports Flexible input shapes:

    • Range Dimension. You can use the Range Dimension feature if you know the input shape will be within some specific interval in that dimension, for example: {"input_1": {"shape": ["1..10", 224, 224, 3]}}
    • Enumerated shapes. Sometimes, the models are trained to work only on a select set of inputs. You can enumerate all supported input shapes, for example: {"input_1": {"shape": [[1, 224, 224, 3], [1, 160, 160, 3]]}}
  • default_shape: Default input shape. You can set a default shape during conversion for both Range Dimension and Enumerated Shapes. For example {"input_1": {"shape": ["1..10", 224, 224, 3], "default_shape": [1, 224, 224, 3]}}
  • type: Input type. Allowed values: Image and Tensor. By default, the converter generates an ML Model with inputs of type Tensor (MultiArray). User can set input type to be Image. Image input type requires additional input parameters such as bias and scale.
  • bias: If the input type is an Image, you need to provide the bias vector.
  • scale: If the input type is an Image, you need to provide a scale factor.

CoreML ClassifierConfig parameters can be specified using OutputConfig$CompilerOptions. CoreML converter supports Tensorflow and PyTorch models. CoreML conversion examples:

  • Tensor type input:

    • "DataInputConfig": {"input_1": {"shape": [[1,224,224,3], [1,160,160,3]], "default_shape": [1,224,224,3]}}

  • Tensor type input without input name (PyTorch):

    • "DataInputConfig": [{"shape": [[1,3,224,224], [1,3,160,160]], "default_shape": [1,3,224,224]}]

  • Image type input:

    • "DataInputConfig": {"input_1": {"shape": [[1,224,224,3], [1,160,160,3]], "default_shape": [1,224,224,3], "type": "Image", "bias": [-1,-1,-1], "scale": 0.007843137255}}
    • "CompilerOptions": {"class_labels": "imagenet_labels_1000.txt"}

  • Image type input without input name (PyTorch):

    • "DataInputConfig": [{"shape": [[1,3,224,224], [1,3,160,160]], "default_shape": [1,3,224,224], "type": "Image", "bias": [-1,-1,-1], "scale": 0.007843137255}]
    • "CompilerOptions": {"class_labels": "imagenet_labels_1000.txt"}

Depending on the model format, DataInputConfig requires the following parameters for ml_eia2 OutputConfig:TargetDevice.

  • For TensorFlow models saved in the SavedModel format, specify the input names from signature_def_key and the input model shapes for DataInputConfig. Specify the signature_def_key in OutputConfig:CompilerOptions if the model does not use TensorFlow's default signature def key. For example:

    • "DataInputConfig": {"inputs": [1, 224, 224, 3]}
    • "CompilerOptions": {"signature_def_key": "serving_custom"}

  • For TensorFlow models saved as a frozen graph, specify the input tensor names and shapes in DataInputConfig and the output tensor names for output_names in OutputConfig:CompilerOptions . For example:

    • "DataInputConfig": {"input_tensor:0": [1, 224, 224, 3]}
    • "CompilerOptions": {"output_names": ["output_tensor:0"]}

inputConfig_framework :: Lens' InputConfig Framework Source #

Identifies the framework in which the model was trained. For example: TENSORFLOW.

InstanceGroup

data InstanceGroup Source #

Defines an instance group for heterogeneous cluster training. When requesting a training job using the CreateTrainingJob API, you can configure multiple instance groups .

See: newInstanceGroup smart constructor.

Constructors

InstanceGroup' 

Fields

Instances

Instances details
FromJSON InstanceGroup Source # 
Instance details

Defined in Amazonka.SageMaker.Types.InstanceGroup

Methods

parseJSON :: Value -> Parser InstanceGroup #

parseJSONList :: Value -> Parser [InstanceGroup] #

ToJSON InstanceGroup Source # 
Instance details

Defined in Amazonka.SageMaker.Types.InstanceGroup

Methods

toJSON :: InstanceGroup -> Value #

toEncoding :: InstanceGroup -> Encoding #

toJSONList :: [InstanceGroup] -> Value #

toEncodingList :: [InstanceGroup] -> Encoding #

Generic InstanceGroup Source # 
Instance details

Defined in Amazonka.SageMaker.Types.InstanceGroup

Associated Types

type Rep InstanceGroup :: Type -> Type #

Methods

from :: InstanceGroup -> Rep InstanceGroup x #

to :: Rep InstanceGroup x -> InstanceGroup #

Read InstanceGroup Source # 
Instance details

Defined in Amazonka.SageMaker.Types.InstanceGroup

Methods

readsPrec :: Int -> ReadS InstanceGroup #

readList :: ReadS [InstanceGroup] #

readPrec :: ReadPrec InstanceGroup #

readListPrec :: ReadPrec [InstanceGroup] #

Show InstanceGroup Source # 
Instance details

Defined in Amazonka.SageMaker.Types.InstanceGroup

Methods

showsPrec :: Int -> InstanceGroup -> ShowS #

show :: InstanceGroup -> String #

showList :: [InstanceGroup] -> ShowS #

NFData InstanceGroup Source # 
Instance details

Defined in Amazonka.SageMaker.Types.InstanceGroup

Methods

rnf :: InstanceGroup -> () #

Eq InstanceGroup Source # 
Instance details

Defined in Amazonka.SageMaker.Types.InstanceGroup

Methods

(==) :: InstanceGroup -> InstanceGroup -> Bool #

(/=) :: InstanceGroup -> InstanceGroup -> Bool #

Hashable InstanceGroup Source # 
Instance details

Defined in Amazonka.SageMaker.Types.InstanceGroup

Methods

hashWithSalt :: Int -> InstanceGroup -> Int #

hash :: InstanceGroup -> Int #

type Rep InstanceGroup Source # 
Instance details

Defined in Amazonka.SageMaker.Types.InstanceGroup

type Rep InstanceGroup = D1 ('MetaData "InstanceGroup" "Amazonka.SageMaker.Types.InstanceGroup" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "InstanceGroup'" 'PrefixI 'True) (S1 ('MetaSel ('Just "instanceType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 TrainingInstanceType) :*: (S1 ('MetaSel ('Just "instanceCount") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Natural) :*: S1 ('MetaSel ('Just "instanceGroupName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text))))

newInstanceGroup Source #

Arguments

:: TrainingInstanceType

$sel:instanceType:InstanceGroup'

-> Natural

$sel:instanceCount:InstanceGroup'

-> Text

$sel:instanceGroupName:InstanceGroup'

-> InstanceGroup 

Create a value of InstanceGroup with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:instanceType:InstanceGroup', instanceGroup_instanceType - Specifies the instance type of the instance group.

$sel:instanceCount:InstanceGroup', instanceGroup_instanceCount - Specifies the number of instances of the instance group.

$sel:instanceGroupName:InstanceGroup', instanceGroup_instanceGroupName - Specifies the name of the instance group.

instanceGroup_instanceType :: Lens' InstanceGroup TrainingInstanceType Source #

Specifies the instance type of the instance group.

instanceGroup_instanceCount :: Lens' InstanceGroup Natural Source #

Specifies the number of instances of the instance group.

instanceGroup_instanceGroupName :: Lens' InstanceGroup Text Source #

Specifies the name of the instance group.

InstanceMetadataServiceConfiguration

data InstanceMetadataServiceConfiguration Source #

Information on the IMDS configuration of the notebook instance

See: newInstanceMetadataServiceConfiguration smart constructor.

Constructors

InstanceMetadataServiceConfiguration' 

Fields

  • minimumInstanceMetadataServiceVersion :: Text

    Indicates the minimum IMDS version that the notebook instance supports. When passed as part of CreateNotebookInstance, if no value is selected, then it defaults to IMDSv1. This means that both IMDSv1 and IMDSv2 are supported. If passed as part of UpdateNotebookInstance, there is no default.

Instances

Instances details
FromJSON InstanceMetadataServiceConfiguration Source # 
Instance details

Defined in Amazonka.SageMaker.Types.InstanceMetadataServiceConfiguration

Methods

parseJSON :: Value -> Parser InstanceMetadataServiceConfiguration #

parseJSONList :: Value -> Parser [InstanceMetadataServiceConfiguration] #

ToJSON InstanceMetadataServiceConfiguration Source # 
Instance details

Defined in Amazonka.SageMaker.Types.InstanceMetadataServiceConfiguration

Methods

toJSON :: InstanceMetadataServiceConfiguration -> Value #

toEncoding :: InstanceMetadataServiceConfiguration -> Encoding #

toJSONList :: [InstanceMetadataServiceConfiguration] -> Value #

toEncodingList :: [InstanceMetadataServiceConfiguration] -> Encoding #

Generic InstanceMetadataServiceConfiguration Source # 
Instance details

Defined in Amazonka.SageMaker.Types.InstanceMetadataServiceConfiguration

Associated Types

type Rep InstanceMetadataServiceConfiguration :: Type -> Type #

Methods

from :: InstanceMetadataServiceConfiguration -> Rep InstanceMetadataServiceConfiguration x #

to :: Rep InstanceMetadataServiceConfiguration x -> InstanceMetadataServiceConfiguration #

Read InstanceMetadataServiceConfiguration Source # 
Instance details

Defined in Amazonka.SageMaker.Types.InstanceMetadataServiceConfiguration

Methods

readsPrec :: Int -> ReadS InstanceMetadataServiceConfiguration #

readList :: ReadS [InstanceMetadataServiceConfiguration] #

readPrec :: ReadPrec InstanceMetadataServiceConfiguration #

readListPrec :: ReadPrec [InstanceMetadataServiceConfiguration] #

Show InstanceMetadataServiceConfiguration Source # 
Instance details

Defined in Amazonka.SageMaker.Types.InstanceMetadataServiceConfiguration

Methods

showsPrec :: Int -> InstanceMetadataServiceConfiguration -> ShowS #

show :: InstanceMetadataServiceConfiguration -> String #

showList :: [InstanceMetadataServiceConfiguration] -> ShowS #

NFData InstanceMetadataServiceConfiguration Source # 
Instance details

Defined in Amazonka.SageMaker.Types.InstanceMetadataServiceConfiguration

Methods

rnf :: InstanceMetadataServiceConfiguration -> () #

Eq InstanceMetadataServiceConfiguration Source # 
Instance details

Defined in Amazonka.SageMaker.Types.InstanceMetadataServiceConfiguration

Methods

(==) :: InstanceMetadataServiceConfiguration -> InstanceMetadataServiceConfiguration -> Bool #

(/=) :: InstanceMetadataServiceConfiguration -> InstanceMetadataServiceConfiguration -> Bool #

Hashable InstanceMetadataServiceConfiguration Source # 
Instance details

Defined in Amazonka.SageMaker.Types.InstanceMetadataServiceConfiguration

Methods

hashWithSalt :: Int -> InstanceMetadataServiceConfiguration -> Int #

hash :: InstanceMetadataServiceConfiguration -> Int #

type Rep InstanceMetadataServiceConfiguration Source # 
Instance details

Defined in Amazonka.SageMaker.Types.InstanceMetadataServiceConfiguration

type Rep InstanceMetadataServiceConfiguration = D1 ('MetaData "InstanceMetadataServiceConfiguration" "Amazonka.SageMaker.Types.InstanceMetadataServiceConfiguration" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "InstanceMetadataServiceConfiguration'" 'PrefixI 'True) (S1 ('MetaSel ('Just "minimumInstanceMetadataServiceVersion") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))

newInstanceMetadataServiceConfiguration Source #

Arguments

:: Text

$sel:minimumInstanceMetadataServiceVersion:InstanceMetadataServiceConfiguration'

-> InstanceMetadataServiceConfiguration 

Create a value of InstanceMetadataServiceConfiguration with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:minimumInstanceMetadataServiceVersion:InstanceMetadataServiceConfiguration', instanceMetadataServiceConfiguration_minimumInstanceMetadataServiceVersion - Indicates the minimum IMDS version that the notebook instance supports. When passed as part of CreateNotebookInstance, if no value is selected, then it defaults to IMDSv1. This means that both IMDSv1 and IMDSv2 are supported. If passed as part of UpdateNotebookInstance, there is no default.

instanceMetadataServiceConfiguration_minimumInstanceMetadataServiceVersion :: Lens' InstanceMetadataServiceConfiguration Text Source #

Indicates the minimum IMDS version that the notebook instance supports. When passed as part of CreateNotebookInstance, if no value is selected, then it defaults to IMDSv1. This means that both IMDSv1 and IMDSv2 are supported. If passed as part of UpdateNotebookInstance, there is no default.

IntegerParameterRange

data IntegerParameterRange Source #

For a hyperparameter of the integer type, specifies the range that a hyperparameter tuning job searches.

See: newIntegerParameterRange smart constructor.

Constructors

IntegerParameterRange' 

Fields

  • scalingType :: Maybe HyperParameterScalingType

    The scale that hyperparameter tuning uses to search the hyperparameter range. For information about choosing a hyperparameter scale, see Hyperparameter Scaling. One of the following values:

    Auto
    SageMaker hyperparameter tuning chooses the best scale for the hyperparameter.
    Linear
    Hyperparameter tuning searches the values in the hyperparameter range by using a linear scale.
    Logarithmic
    Hyperparameter tuning searches the values in the hyperparameter range by using a logarithmic scale.

    Logarithmic scaling works only for ranges that have only values greater than 0.

  • name :: Text

    The name of the hyperparameter to search.

  • minValue :: Text

    The minimum value of the hyperparameter to search.

  • maxValue :: Text

    The maximum value of the hyperparameter to search.

Instances

Instances details
FromJSON IntegerParameterRange Source # 
Instance details

Defined in Amazonka.SageMaker.Types.IntegerParameterRange

Methods

parseJSON :: Value -> Parser IntegerParameterRange #

parseJSONList :: Value -> Parser [IntegerParameterRange] #

ToJSON IntegerParameterRange Source # 
Instance details

Defined in Amazonka.SageMaker.Types.IntegerParameterRange

Methods

toJSON :: IntegerParameterRange -> Value #

toEncoding :: IntegerParameterRange -> Encoding #

toJSONList :: [IntegerParameterRange] -> Value #

toEncodingList :: [IntegerParameterRange] -> Encoding #

Generic IntegerParameterRange Source # 
Instance details

Defined in Amazonka.SageMaker.Types.IntegerParameterRange

Associated Types

type Rep IntegerParameterRange :: Type -> Type #

Methods

from :: IntegerParameterRange -> Rep IntegerParameterRange x #

to :: Rep IntegerParameterRange x -> IntegerParameterRange #

Read IntegerParameterRange Source # 
Instance details

Defined in Amazonka.SageMaker.Types.IntegerParameterRange

Methods

readsPrec :: Int -> ReadS IntegerParameterRange #

readList :: ReadS [IntegerParameterRange] #

readPrec :: ReadPrec IntegerParameterRange #

readListPrec :: ReadPrec [IntegerParameterRange] #

Show IntegerParameterRange Source # 
Instance details

Defined in Amazonka.SageMaker.Types.IntegerParameterRange

Methods

showsPrec :: Int -> IntegerParameterRange -> ShowS #

show :: IntegerParameterRange -> String #

showList :: [IntegerParameterRange] -> ShowS #

NFData IntegerParameterRange Source # 
Instance details

Defined in Amazonka.SageMaker.Types.IntegerParameterRange

Methods

rnf :: IntegerParameterRange -> () #

Eq IntegerParameterRange Source # 
Instance details

Defined in Amazonka.SageMaker.Types.IntegerParameterRange

Methods

(==) :: IntegerParameterRange -> IntegerParameterRange -> Bool #

(/=) :: IntegerParameterRange -> IntegerParameterRange -> Bool #

Hashable IntegerParameterRange Source # 
Instance details

Defined in Amazonka.SageMaker.Types.IntegerParameterRange

Methods

hashWithSalt :: Int -> IntegerParameterRange -> Int #

hash :: IntegerParameterRange -> Int #

type Rep IntegerParameterRange Source # 
Instance details

Defined in Amazonka.SageMaker.Types.IntegerParameterRange

type Rep IntegerParameterRange = D1 ('MetaData "IntegerParameterRange" "Amazonka.SageMaker.Types.IntegerParameterRange" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "IntegerParameterRange'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "scalingType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe HyperParameterScalingType)) :*: S1 ('MetaSel ('Just "name") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)) :*: (S1 ('MetaSel ('Just "minValue") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: S1 ('MetaSel ('Just "maxValue") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text))))

newIntegerParameterRange Source #

Arguments

:: Text

$sel:name:IntegerParameterRange'

-> Text

$sel:minValue:IntegerParameterRange'

-> Text

$sel:maxValue:IntegerParameterRange'

-> IntegerParameterRange 

Create a value of IntegerParameterRange with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:scalingType:IntegerParameterRange', integerParameterRange_scalingType - The scale that hyperparameter tuning uses to search the hyperparameter range. For information about choosing a hyperparameter scale, see Hyperparameter Scaling. One of the following values:

Auto
SageMaker hyperparameter tuning chooses the best scale for the hyperparameter.
Linear
Hyperparameter tuning searches the values in the hyperparameter range by using a linear scale.
Logarithmic
Hyperparameter tuning searches the values in the hyperparameter range by using a logarithmic scale.

Logarithmic scaling works only for ranges that have only values greater than 0.

$sel:name:IntegerParameterRange', integerParameterRange_name - The name of the hyperparameter to search.

$sel:minValue:IntegerParameterRange', integerParameterRange_minValue - The minimum value of the hyperparameter to search.

$sel:maxValue:IntegerParameterRange', integerParameterRange_maxValue - The maximum value of the hyperparameter to search.

integerParameterRange_scalingType :: Lens' IntegerParameterRange (Maybe HyperParameterScalingType) Source #

The scale that hyperparameter tuning uses to search the hyperparameter range. For information about choosing a hyperparameter scale, see Hyperparameter Scaling. One of the following values:

Auto
SageMaker hyperparameter tuning chooses the best scale for the hyperparameter.
Linear
Hyperparameter tuning searches the values in the hyperparameter range by using a linear scale.
Logarithmic
Hyperparameter tuning searches the values in the hyperparameter range by using a logarithmic scale.

Logarithmic scaling works only for ranges that have only values greater than 0.

integerParameterRange_name :: Lens' IntegerParameterRange Text Source #

The name of the hyperparameter to search.

integerParameterRange_minValue :: Lens' IntegerParameterRange Text Source #

The minimum value of the hyperparameter to search.

integerParameterRange_maxValue :: Lens' IntegerParameterRange Text Source #

The maximum value of the hyperparameter to search.

IntegerParameterRangeSpecification

data IntegerParameterRangeSpecification Source #

Defines the possible values for an integer hyperparameter.

See: newIntegerParameterRangeSpecification smart constructor.

Constructors

IntegerParameterRangeSpecification' 

Fields

Instances

Instances details
FromJSON IntegerParameterRangeSpecification Source # 
Instance details

Defined in Amazonka.SageMaker.Types.IntegerParameterRangeSpecification

Methods

parseJSON :: Value -> Parser IntegerParameterRangeSpecification #

parseJSONList :: Value -> Parser [IntegerParameterRangeSpecification] #

ToJSON IntegerParameterRangeSpecification Source # 
Instance details

Defined in Amazonka.SageMaker.Types.IntegerParameterRangeSpecification

Methods

toJSON :: IntegerParameterRangeSpecification -> Value #

toEncoding :: IntegerParameterRangeSpecification -> Encoding #

toJSONList :: [IntegerParameterRangeSpecification] -> Value #

toEncodingList :: [IntegerParameterRangeSpecification] -> Encoding #

Generic IntegerParameterRangeSpecification Source # 
Instance details

Defined in Amazonka.SageMaker.Types.IntegerParameterRangeSpecification

Associated Types

type Rep IntegerParameterRangeSpecification :: Type -> Type #

Methods

from :: IntegerParameterRangeSpecification -> Rep IntegerParameterRangeSpecification x #

to :: Rep IntegerParameterRangeSpecification x -> IntegerParameterRangeSpecification #

Read IntegerParameterRangeSpecification Source # 
Instance details

Defined in Amazonka.SageMaker.Types.IntegerParameterRangeSpecification

Methods

readsPrec :: Int -> ReadS IntegerParameterRangeSpecification #

readList :: ReadS [IntegerParameterRangeSpecification] #

readPrec :: ReadPrec IntegerParameterRangeSpecification #

readListPrec :: ReadPrec [IntegerParameterRangeSpecification] #

Show IntegerParameterRangeSpecification Source # 
Instance details

Defined in Amazonka.SageMaker.Types.IntegerParameterRangeSpecification

Methods

showsPrec :: Int -> IntegerParameterRangeSpecification -> ShowS #

show :: IntegerParameterRangeSpecification -> String #

showList :: [IntegerParameterRangeSpecification] -> ShowS #

NFData IntegerParameterRangeSpecification Source # 
Instance details

Defined in Amazonka.SageMaker.Types.IntegerParameterRangeSpecification

Methods

rnf :: IntegerParameterRangeSpecification -> () #

Eq IntegerParameterRangeSpecification Source # 
Instance details

Defined in Amazonka.SageMaker.Types.IntegerParameterRangeSpecification

Methods

(==) :: IntegerParameterRangeSpecification -> IntegerParameterRangeSpecification -> Bool #

(/=) :: IntegerParameterRangeSpecification -> IntegerParameterRangeSpecification -> Bool #

Hashable IntegerParameterRangeSpecification Source # 
Instance details

Defined in Amazonka.SageMaker.Types.IntegerParameterRangeSpecification

Methods

hashWithSalt :: Int -> IntegerParameterRangeSpecification -> Int #

hash :: IntegerParameterRangeSpecification -> Int #

type Rep IntegerParameterRangeSpecification Source # 
Instance details

Defined in Amazonka.SageMaker.Types.IntegerParameterRangeSpecification

type Rep IntegerParameterRangeSpecification = D1 ('MetaData "IntegerParameterRangeSpecification" "Amazonka.SageMaker.Types.IntegerParameterRangeSpecification" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "IntegerParameterRangeSpecification'" 'PrefixI 'True) (S1 ('MetaSel ('Just "minValue") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: S1 ('MetaSel ('Just "maxValue") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))

newIntegerParameterRangeSpecification Source #

Arguments

:: Text

$sel:minValue:IntegerParameterRangeSpecification'

-> Text

$sel:maxValue:IntegerParameterRangeSpecification'

-> IntegerParameterRangeSpecification 

Create a value of IntegerParameterRangeSpecification with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:minValue:IntegerParameterRangeSpecification', integerParameterRangeSpecification_minValue - The minimum integer value allowed.

$sel:maxValue:IntegerParameterRangeSpecification', integerParameterRangeSpecification_maxValue - The maximum integer value allowed.

integerParameterRangeSpecification_minValue :: Lens' IntegerParameterRangeSpecification Text Source #

The minimum integer value allowed.

integerParameterRangeSpecification_maxValue :: Lens' IntegerParameterRangeSpecification Text Source #

The maximum integer value allowed.

JupyterServerAppSettings

data JupyterServerAppSettings Source #

The JupyterServer app settings.

See: newJupyterServerAppSettings smart constructor.

Constructors

JupyterServerAppSettings' 

Fields

  • codeRepositories :: Maybe [CodeRepository]

    A list of Git repositories that SageMaker automatically displays to users for cloning in the JupyterServer application.

  • defaultResourceSpec :: Maybe ResourceSpec

    The default instance type and the Amazon Resource Name (ARN) of the default SageMaker image used by the JupyterServer app. If you use the LifecycleConfigArns parameter, then this parameter is also required.

  • lifecycleConfigArns :: Maybe [Text]

    The Amazon Resource Name (ARN) of the Lifecycle Configurations attached to the JupyterServerApp. If you use this parameter, the DefaultResourceSpec parameter is also required.

    To remove a Lifecycle Config, you must set LifecycleConfigArns to an empty list.

Instances

Instances details
FromJSON JupyterServerAppSettings Source # 
Instance details

Defined in Amazonka.SageMaker.Types.JupyterServerAppSettings

Methods

parseJSON :: Value -> Parser JupyterServerAppSettings #

parseJSONList :: Value -> Parser [JupyterServerAppSettings] #

ToJSON JupyterServerAppSettings Source # 
Instance details

Defined in Amazonka.SageMaker.Types.JupyterServerAppSettings

Methods

toJSON :: JupyterServerAppSettings -> Value #

toEncoding :: JupyterServerAppSettings -> Encoding #

toJSONList :: [JupyterServerAppSettings] -> Value #

toEncodingList :: [JupyterServerAppSettings] -> Encoding #

Generic JupyterServerAppSettings Source # 
Instance details

Defined in Amazonka.SageMaker.Types.JupyterServerAppSettings

Associated Types

type Rep JupyterServerAppSettings :: Type -> Type #

Methods

from :: JupyterServerAppSettings -> Rep JupyterServerAppSettings x #

to :: Rep JupyterServerAppSettings x -> JupyterServerAppSettings #

Read JupyterServerAppSettings Source # 
Instance details

Defined in Amazonka.SageMaker.Types.JupyterServerAppSettings

Methods

readsPrec :: Int -> ReadS JupyterServerAppSettings #

readList :: ReadS [JupyterServerAppSettings] #

readPrec :: ReadPrec JupyterServerAppSettings #

readListPrec :: ReadPrec [JupyterServerAppSettings] #

Show JupyterServerAppSettings Source # 
Instance details

Defined in Amazonka.SageMaker.Types.JupyterServerAppSettings

Methods

showsPrec :: Int -> JupyterServerAppSettings -> ShowS #

show :: JupyterServerAppSettings -> String #

showList :: [JupyterServerAppSettings] -> ShowS #

NFData JupyterServerAppSettings Source # 
Instance details

Defined in Amazonka.SageMaker.Types.JupyterServerAppSettings

Methods

rnf :: JupyterServerAppSettings -> () #

Eq JupyterServerAppSettings Source # 
Instance details

Defined in Amazonka.SageMaker.Types.JupyterServerAppSettings

Methods

(==) :: JupyterServerAppSettings -> JupyterServerAppSettings -> Bool #

(/=) :: JupyterServerAppSettings -> JupyterServerAppSettings -> Bool #

Hashable JupyterServerAppSettings Source # 
Instance details

Defined in Amazonka.SageMaker.Types.JupyterServerAppSettings

Methods

hashWithSalt :: Int -> JupyterServerAppSettings -> Int #

hash :: JupyterServerAppSettings -> Int #

type Rep JupyterServerAppSettings Source # 
Instance details

Defined in Amazonka.SageMaker.Types.JupyterServerAppSettings

type Rep JupyterServerAppSettings = D1 ('MetaData "JupyterServerAppSettings" "Amazonka.SageMaker.Types.JupyterServerAppSettings" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "JupyterServerAppSettings'" 'PrefixI 'True) (S1 ('MetaSel ('Just "codeRepositories") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [CodeRepository])) :*: (S1 ('MetaSel ('Just "defaultResourceSpec") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ResourceSpec)) :*: S1 ('MetaSel ('Just "lifecycleConfigArns") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [Text])))))

newJupyterServerAppSettings :: JupyterServerAppSettings Source #

Create a value of JupyterServerAppSettings with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:codeRepositories:JupyterServerAppSettings', jupyterServerAppSettings_codeRepositories - A list of Git repositories that SageMaker automatically displays to users for cloning in the JupyterServer application.

$sel:defaultResourceSpec:JupyterServerAppSettings', jupyterServerAppSettings_defaultResourceSpec - The default instance type and the Amazon Resource Name (ARN) of the default SageMaker image used by the JupyterServer app. If you use the LifecycleConfigArns parameter, then this parameter is also required.

$sel:lifecycleConfigArns:JupyterServerAppSettings', jupyterServerAppSettings_lifecycleConfigArns - The Amazon Resource Name (ARN) of the Lifecycle Configurations attached to the JupyterServerApp. If you use this parameter, the DefaultResourceSpec parameter is also required.

To remove a Lifecycle Config, you must set LifecycleConfigArns to an empty list.

jupyterServerAppSettings_codeRepositories :: Lens' JupyterServerAppSettings (Maybe [CodeRepository]) Source #

A list of Git repositories that SageMaker automatically displays to users for cloning in the JupyterServer application.

jupyterServerAppSettings_defaultResourceSpec :: Lens' JupyterServerAppSettings (Maybe ResourceSpec) Source #

The default instance type and the Amazon Resource Name (ARN) of the default SageMaker image used by the JupyterServer app. If you use the LifecycleConfigArns parameter, then this parameter is also required.

jupyterServerAppSettings_lifecycleConfigArns :: Lens' JupyterServerAppSettings (Maybe [Text]) Source #

The Amazon Resource Name (ARN) of the Lifecycle Configurations attached to the JupyterServerApp. If you use this parameter, the DefaultResourceSpec parameter is also required.

To remove a Lifecycle Config, you must set LifecycleConfigArns to an empty list.

KernelGatewayAppSettings

data KernelGatewayAppSettings Source #

The KernelGateway app settings.

See: newKernelGatewayAppSettings smart constructor.

Constructors

KernelGatewayAppSettings' 

Fields

  • customImages :: Maybe [CustomImage]

    A list of custom SageMaker images that are configured to run as a KernelGateway app.

  • defaultResourceSpec :: Maybe ResourceSpec

    The default instance type and the Amazon Resource Name (ARN) of the default SageMaker image used by the KernelGateway app.

    The Amazon SageMaker Studio UI does not use the default instance type value set here. The default instance type set here is used when Apps are created using the Amazon Web Services Command Line Interface or Amazon Web Services CloudFormation and the instance type parameter value is not passed.

  • lifecycleConfigArns :: Maybe [Text]

    The Amazon Resource Name (ARN) of the Lifecycle Configurations attached to the the user profile or domain.

    To remove a Lifecycle Config, you must set LifecycleConfigArns to an empty list.

Instances

Instances details
FromJSON KernelGatewayAppSettings Source # 
Instance details

Defined in Amazonka.SageMaker.Types.KernelGatewayAppSettings

Methods

parseJSON :: Value -> Parser KernelGatewayAppSettings #

parseJSONList :: Value -> Parser [KernelGatewayAppSettings] #

ToJSON KernelGatewayAppSettings Source # 
Instance details

Defined in Amazonka.SageMaker.Types.KernelGatewayAppSettings

Methods

toJSON :: KernelGatewayAppSettings -> Value #

toEncoding :: KernelGatewayAppSettings -> Encoding #

toJSONList :: [KernelGatewayAppSettings] -> Value #

toEncodingList :: [KernelGatewayAppSettings] -> Encoding #

Generic KernelGatewayAppSettings Source # 
Instance details

Defined in Amazonka.SageMaker.Types.KernelGatewayAppSettings

Associated Types

type Rep KernelGatewayAppSettings :: Type -> Type #

Methods

from :: KernelGatewayAppSettings -> Rep KernelGatewayAppSettings x #

to :: Rep KernelGatewayAppSettings x -> KernelGatewayAppSettings #

Read KernelGatewayAppSettings Source # 
Instance details

Defined in Amazonka.SageMaker.Types.KernelGatewayAppSettings

Methods

readsPrec :: Int -> ReadS KernelGatewayAppSettings #

readList :: ReadS [KernelGatewayAppSettings] #

readPrec :: ReadPrec KernelGatewayAppSettings #

readListPrec :: ReadPrec [KernelGatewayAppSettings] #

Show KernelGatewayAppSettings Source # 
Instance details

Defined in Amazonka.SageMaker.Types.KernelGatewayAppSettings

Methods

showsPrec :: Int -> KernelGatewayAppSettings -> ShowS #

show :: KernelGatewayAppSettings -> String #

showList :: [KernelGatewayAppSettings] -> ShowS #

NFData KernelGatewayAppSettings Source # 
Instance details

Defined in Amazonka.SageMaker.Types.KernelGatewayAppSettings

Methods

rnf :: KernelGatewayAppSettings -> () #

Eq KernelGatewayAppSettings Source # 
Instance details

Defined in Amazonka.SageMaker.Types.KernelGatewayAppSettings

Methods

(==) :: KernelGatewayAppSettings -> KernelGatewayAppSettings -> Bool #

(/=) :: KernelGatewayAppSettings -> KernelGatewayAppSettings -> Bool #

Hashable KernelGatewayAppSettings Source # 
Instance details

Defined in Amazonka.SageMaker.Types.KernelGatewayAppSettings

Methods

hashWithSalt :: Int -> KernelGatewayAppSettings -> Int #

hash :: KernelGatewayAppSettings -> Int #

type Rep KernelGatewayAppSettings Source # 
Instance details

Defined in Amazonka.SageMaker.Types.KernelGatewayAppSettings

type Rep KernelGatewayAppSettings = D1 ('MetaData "KernelGatewayAppSettings" "Amazonka.SageMaker.Types.KernelGatewayAppSettings" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "KernelGatewayAppSettings'" 'PrefixI 'True) (S1 ('MetaSel ('Just "customImages") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [CustomImage])) :*: (S1 ('MetaSel ('Just "defaultResourceSpec") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ResourceSpec)) :*: S1 ('MetaSel ('Just "lifecycleConfigArns") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [Text])))))

newKernelGatewayAppSettings :: KernelGatewayAppSettings Source #

Create a value of KernelGatewayAppSettings with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:customImages:KernelGatewayAppSettings', kernelGatewayAppSettings_customImages - A list of custom SageMaker images that are configured to run as a KernelGateway app.

$sel:defaultResourceSpec:KernelGatewayAppSettings', kernelGatewayAppSettings_defaultResourceSpec - The default instance type and the Amazon Resource Name (ARN) of the default SageMaker image used by the KernelGateway app.

The Amazon SageMaker Studio UI does not use the default instance type value set here. The default instance type set here is used when Apps are created using the Amazon Web Services Command Line Interface or Amazon Web Services CloudFormation and the instance type parameter value is not passed.

$sel:lifecycleConfigArns:KernelGatewayAppSettings', kernelGatewayAppSettings_lifecycleConfigArns - The Amazon Resource Name (ARN) of the Lifecycle Configurations attached to the the user profile or domain.

To remove a Lifecycle Config, you must set LifecycleConfigArns to an empty list.

kernelGatewayAppSettings_customImages :: Lens' KernelGatewayAppSettings (Maybe [CustomImage]) Source #

A list of custom SageMaker images that are configured to run as a KernelGateway app.

kernelGatewayAppSettings_defaultResourceSpec :: Lens' KernelGatewayAppSettings (Maybe ResourceSpec) Source #

The default instance type and the Amazon Resource Name (ARN) of the default SageMaker image used by the KernelGateway app.

The Amazon SageMaker Studio UI does not use the default instance type value set here. The default instance type set here is used when Apps are created using the Amazon Web Services Command Line Interface or Amazon Web Services CloudFormation and the instance type parameter value is not passed.

kernelGatewayAppSettings_lifecycleConfigArns :: Lens' KernelGatewayAppSettings (Maybe [Text]) Source #

The Amazon Resource Name (ARN) of the Lifecycle Configurations attached to the the user profile or domain.

To remove a Lifecycle Config, you must set LifecycleConfigArns to an empty list.

KernelGatewayImageConfig

data KernelGatewayImageConfig Source #

The configuration for the file system and kernels in a SageMaker image running as a KernelGateway app.

See: newKernelGatewayImageConfig smart constructor.

Constructors

KernelGatewayImageConfig' 

Fields

Instances

Instances details
FromJSON KernelGatewayImageConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.KernelGatewayImageConfig

Methods

parseJSON :: Value -> Parser KernelGatewayImageConfig #

parseJSONList :: Value -> Parser [KernelGatewayImageConfig] #

ToJSON KernelGatewayImageConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.KernelGatewayImageConfig

Methods

toJSON :: KernelGatewayImageConfig -> Value #

toEncoding :: KernelGatewayImageConfig -> Encoding #

toJSONList :: [KernelGatewayImageConfig] -> Value #

toEncodingList :: [KernelGatewayImageConfig] -> Encoding #

Generic KernelGatewayImageConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.KernelGatewayImageConfig

Associated Types

type Rep KernelGatewayImageConfig :: Type -> Type #

Methods

from :: KernelGatewayImageConfig -> Rep KernelGatewayImageConfig x #

to :: Rep KernelGatewayImageConfig x -> KernelGatewayImageConfig #

Read KernelGatewayImageConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.KernelGatewayImageConfig

Methods

readsPrec :: Int -> ReadS KernelGatewayImageConfig #

readList :: ReadS [KernelGatewayImageConfig] #

readPrec :: ReadPrec KernelGatewayImageConfig #

readListPrec :: ReadPrec [KernelGatewayImageConfig] #

Show KernelGatewayImageConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.KernelGatewayImageConfig

Methods

showsPrec :: Int -> KernelGatewayImageConfig -> ShowS #

show :: KernelGatewayImageConfig -> String #

showList :: [KernelGatewayImageConfig] -> ShowS #

NFData KernelGatewayImageConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.KernelGatewayImageConfig

Methods

rnf :: KernelGatewayImageConfig -> () #

Eq KernelGatewayImageConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.KernelGatewayImageConfig

Methods

(==) :: KernelGatewayImageConfig -> KernelGatewayImageConfig -> Bool #

(/=) :: KernelGatewayImageConfig -> KernelGatewayImageConfig -> Bool #

Hashable KernelGatewayImageConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.KernelGatewayImageConfig

Methods

hashWithSalt :: Int -> KernelGatewayImageConfig -> Int #

hash :: KernelGatewayImageConfig -> Int #

type Rep KernelGatewayImageConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.KernelGatewayImageConfig

type Rep KernelGatewayImageConfig = D1 ('MetaData "KernelGatewayImageConfig" "Amazonka.SageMaker.Types.KernelGatewayImageConfig" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "KernelGatewayImageConfig'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fileSystemConfig") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe FileSystemConfig)) :*: S1 ('MetaSel ('Just "kernelSpecs") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (NonEmpty KernelSpec))))

newKernelGatewayImageConfig Source #

Arguments

:: NonEmpty KernelSpec

$sel:kernelSpecs:KernelGatewayImageConfig'

-> KernelGatewayImageConfig 

Create a value of KernelGatewayImageConfig with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:fileSystemConfig:KernelGatewayImageConfig', kernelGatewayImageConfig_fileSystemConfig - The Amazon Elastic File System (EFS) storage configuration for a SageMaker image.

$sel:kernelSpecs:KernelGatewayImageConfig', kernelGatewayImageConfig_kernelSpecs - The specification of the Jupyter kernels in the image.

kernelGatewayImageConfig_fileSystemConfig :: Lens' KernelGatewayImageConfig (Maybe FileSystemConfig) Source #

The Amazon Elastic File System (EFS) storage configuration for a SageMaker image.

kernelGatewayImageConfig_kernelSpecs :: Lens' KernelGatewayImageConfig (NonEmpty KernelSpec) Source #

The specification of the Jupyter kernels in the image.

KernelSpec

data KernelSpec Source #

The specification of a Jupyter kernel.

See: newKernelSpec smart constructor.

Constructors

KernelSpec' 

Fields

  • displayName :: Maybe Text

    The display name of the kernel.

  • name :: Text

    The name of the Jupyter kernel in the image. This value is case sensitive.

Instances

Instances details
FromJSON KernelSpec Source # 
Instance details

Defined in Amazonka.SageMaker.Types.KernelSpec

Methods

parseJSON :: Value -> Parser KernelSpec #

parseJSONList :: Value -> Parser [KernelSpec] #

ToJSON KernelSpec Source # 
Instance details

Defined in Amazonka.SageMaker.Types.KernelSpec

Methods

toJSON :: KernelSpec -> Value #

toEncoding :: KernelSpec -> Encoding #

toJSONList :: [KernelSpec] -> Value #

toEncodingList :: [KernelSpec] -> Encoding #

Generic KernelSpec Source # 
Instance details

Defined in Amazonka.SageMaker.Types.KernelSpec

Associated Types

type Rep KernelSpec :: Type -> Type #

Methods

from :: KernelSpec -> Rep KernelSpec x #

to :: Rep KernelSpec x -> KernelSpec #

Read KernelSpec Source # 
Instance details

Defined in Amazonka.SageMaker.Types.KernelSpec

Methods

readsPrec :: Int -> ReadS KernelSpec #

readList :: ReadS [KernelSpec] #

readPrec :: ReadPrec KernelSpec #

readListPrec :: ReadPrec [KernelSpec] #

Show KernelSpec Source # 
Instance details

Defined in Amazonka.SageMaker.Types.KernelSpec

Methods

showsPrec :: Int -> KernelSpec -> ShowS #

show :: KernelSpec -> String #

showList :: [KernelSpec] -> ShowS #

NFData KernelSpec Source # 
Instance details

Defined in Amazonka.SageMaker.Types.KernelSpec

Methods

rnf :: KernelSpec -> () #

Eq KernelSpec Source # 
Instance details

Defined in Amazonka.SageMaker.Types.KernelSpec

Methods

(==) :: KernelSpec -> KernelSpec -> Bool #

(/=) :: KernelSpec -> KernelSpec -> Bool #

Hashable KernelSpec Source # 
Instance details

Defined in Amazonka.SageMaker.Types.KernelSpec

Methods

hashWithSalt :: Int -> KernelSpec -> Int #

hash :: KernelSpec -> Int #

type Rep KernelSpec Source # 
Instance details

Defined in Amazonka.SageMaker.Types.KernelSpec

type Rep KernelSpec = D1 ('MetaData "KernelSpec" "Amazonka.SageMaker.Types.KernelSpec" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "KernelSpec'" 'PrefixI 'True) (S1 ('MetaSel ('Just "displayName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "name") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))

newKernelSpec Source #

Arguments

:: Text

$sel:name:KernelSpec'

-> KernelSpec 

Create a value of KernelSpec with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:displayName:KernelSpec', kernelSpec_displayName - The display name of the kernel.

$sel:name:KernelSpec', kernelSpec_name - The name of the Jupyter kernel in the image. This value is case sensitive.

kernelSpec_displayName :: Lens' KernelSpec (Maybe Text) Source #

The display name of the kernel.

kernelSpec_name :: Lens' KernelSpec Text Source #

The name of the Jupyter kernel in the image. This value is case sensitive.

LabelCounters

data LabelCounters Source #

Provides a breakdown of the number of objects labeled.

See: newLabelCounters smart constructor.

Constructors

LabelCounters' 

Fields

Instances

Instances details
FromJSON LabelCounters Source # 
Instance details

Defined in Amazonka.SageMaker.Types.LabelCounters

Methods

parseJSON :: Value -> Parser LabelCounters #

parseJSONList :: Value -> Parser [LabelCounters] #

Generic LabelCounters Source # 
Instance details

Defined in Amazonka.SageMaker.Types.LabelCounters

Associated Types

type Rep LabelCounters :: Type -> Type #

Methods

from :: LabelCounters -> Rep LabelCounters x #

to :: Rep LabelCounters x -> LabelCounters #

Read LabelCounters Source # 
Instance details

Defined in Amazonka.SageMaker.Types.LabelCounters

Methods

readsPrec :: Int -> ReadS LabelCounters #

readList :: ReadS [LabelCounters] #

readPrec :: ReadPrec LabelCounters #

readListPrec :: ReadPrec [LabelCounters] #

Show LabelCounters Source # 
Instance details

Defined in Amazonka.SageMaker.Types.LabelCounters

Methods

showsPrec :: Int -> LabelCounters -> ShowS #

show :: LabelCounters -> String #

showList :: [LabelCounters] -> ShowS #

NFData LabelCounters Source # 
Instance details

Defined in Amazonka.SageMaker.Types.LabelCounters

Methods

rnf :: LabelCounters -> () #

Eq LabelCounters Source # 
Instance details

Defined in Amazonka.SageMaker.Types.LabelCounters

Methods

(==) :: LabelCounters -> LabelCounters -> Bool #

(/=) :: LabelCounters -> LabelCounters -> Bool #

Hashable LabelCounters Source # 
Instance details

Defined in Amazonka.SageMaker.Types.LabelCounters

Methods

hashWithSalt :: Int -> LabelCounters -> Int #

hash :: LabelCounters -> Int #

type Rep LabelCounters Source # 
Instance details

Defined in Amazonka.SageMaker.Types.LabelCounters

type Rep LabelCounters = D1 ('MetaData "LabelCounters" "Amazonka.SageMaker.Types.LabelCounters" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "LabelCounters'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "failedNonRetryableError") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural)) :*: S1 ('MetaSel ('Just "humanLabeled") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural))) :*: (S1 ('MetaSel ('Just "machineLabeled") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural)) :*: (S1 ('MetaSel ('Just "totalLabeled") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural)) :*: S1 ('MetaSel ('Just "unlabeled") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural))))))

newLabelCounters :: LabelCounters Source #

Create a value of LabelCounters with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:failedNonRetryableError:LabelCounters', labelCounters_failedNonRetryableError - The total number of objects that could not be labeled due to an error.

$sel:humanLabeled:LabelCounters', labelCounters_humanLabeled - The total number of objects labeled by a human worker.

$sel:machineLabeled:LabelCounters', labelCounters_machineLabeled - The total number of objects labeled by automated data labeling.

$sel:totalLabeled:LabelCounters', labelCounters_totalLabeled - The total number of objects labeled.

$sel:unlabeled:LabelCounters', labelCounters_unlabeled - The total number of objects not yet labeled.

labelCounters_failedNonRetryableError :: Lens' LabelCounters (Maybe Natural) Source #

The total number of objects that could not be labeled due to an error.

labelCounters_humanLabeled :: Lens' LabelCounters (Maybe Natural) Source #

The total number of objects labeled by a human worker.

labelCounters_machineLabeled :: Lens' LabelCounters (Maybe Natural) Source #

The total number of objects labeled by automated data labeling.

labelCounters_totalLabeled :: Lens' LabelCounters (Maybe Natural) Source #

The total number of objects labeled.

labelCounters_unlabeled :: Lens' LabelCounters (Maybe Natural) Source #

The total number of objects not yet labeled.

LabelCountersForWorkteam

data LabelCountersForWorkteam Source #

Provides counts for human-labeled tasks in the labeling job.

See: newLabelCountersForWorkteam smart constructor.

Constructors

LabelCountersForWorkteam' 

Fields

Instances

Instances details
FromJSON LabelCountersForWorkteam Source # 
Instance details

Defined in Amazonka.SageMaker.Types.LabelCountersForWorkteam

Methods

parseJSON :: Value -> Parser LabelCountersForWorkteam #

parseJSONList :: Value -> Parser [LabelCountersForWorkteam] #

Generic LabelCountersForWorkteam Source # 
Instance details

Defined in Amazonka.SageMaker.Types.LabelCountersForWorkteam

Associated Types

type Rep LabelCountersForWorkteam :: Type -> Type #

Methods

from :: LabelCountersForWorkteam -> Rep LabelCountersForWorkteam x #

to :: Rep LabelCountersForWorkteam x -> LabelCountersForWorkteam #

Read LabelCountersForWorkteam Source # 
Instance details

Defined in Amazonka.SageMaker.Types.LabelCountersForWorkteam

Methods

readsPrec :: Int -> ReadS LabelCountersForWorkteam #

readList :: ReadS [LabelCountersForWorkteam] #

readPrec :: ReadPrec LabelCountersForWorkteam #

readListPrec :: ReadPrec [LabelCountersForWorkteam] #

Show LabelCountersForWorkteam Source # 
Instance details

Defined in Amazonka.SageMaker.Types.LabelCountersForWorkteam

Methods

showsPrec :: Int -> LabelCountersForWorkteam -> ShowS #

show :: LabelCountersForWorkteam -> String #

showList :: [LabelCountersForWorkteam] -> ShowS #

NFData LabelCountersForWorkteam Source # 
Instance details

Defined in Amazonka.SageMaker.Types.LabelCountersForWorkteam

Methods

rnf :: LabelCountersForWorkteam -> () #

Eq LabelCountersForWorkteam Source # 
Instance details

Defined in Amazonka.SageMaker.Types.LabelCountersForWorkteam

Methods

(==) :: LabelCountersForWorkteam -> LabelCountersForWorkteam -> Bool #

(/=) :: LabelCountersForWorkteam -> LabelCountersForWorkteam -> Bool #

Hashable LabelCountersForWorkteam Source # 
Instance details

Defined in Amazonka.SageMaker.Types.LabelCountersForWorkteam

Methods

hashWithSalt :: Int -> LabelCountersForWorkteam -> Int #

hash :: LabelCountersForWorkteam -> Int #

type Rep LabelCountersForWorkteam Source # 
Instance details

Defined in Amazonka.SageMaker.Types.LabelCountersForWorkteam

type Rep LabelCountersForWorkteam = D1 ('MetaData "LabelCountersForWorkteam" "Amazonka.SageMaker.Types.LabelCountersForWorkteam" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "LabelCountersForWorkteam'" 'PrefixI 'True) (S1 ('MetaSel ('Just "humanLabeled") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural)) :*: (S1 ('MetaSel ('Just "pendingHuman") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural)) :*: S1 ('MetaSel ('Just "total") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural)))))

newLabelCountersForWorkteam :: LabelCountersForWorkteam Source #

Create a value of LabelCountersForWorkteam with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:humanLabeled:LabelCountersForWorkteam', labelCountersForWorkteam_humanLabeled - The total number of data objects labeled by a human worker.

$sel:pendingHuman:LabelCountersForWorkteam', labelCountersForWorkteam_pendingHuman - The total number of data objects that need to be labeled by a human worker.

$sel:total:LabelCountersForWorkteam', labelCountersForWorkteam_total - The total number of tasks in the labeling job.

labelCountersForWorkteam_humanLabeled :: Lens' LabelCountersForWorkteam (Maybe Natural) Source #

The total number of data objects labeled by a human worker.

labelCountersForWorkteam_pendingHuman :: Lens' LabelCountersForWorkteam (Maybe Natural) Source #

The total number of data objects that need to be labeled by a human worker.

labelCountersForWorkteam_total :: Lens' LabelCountersForWorkteam (Maybe Natural) Source #

The total number of tasks in the labeling job.

LabelingJobAlgorithmsConfig

data LabelingJobAlgorithmsConfig Source #

Provides configuration information for auto-labeling of your data objects. A LabelingJobAlgorithmsConfig object must be supplied in order to use auto-labeling.

See: newLabelingJobAlgorithmsConfig smart constructor.

Constructors

LabelingJobAlgorithmsConfig' 

Fields

  • initialActiveLearningModelArn :: Maybe Text

    At the end of an auto-label job Ground Truth sends the Amazon Resource Name (ARN) of the final model used for auto-labeling. You can use this model as the starting point for subsequent similar jobs by providing the ARN of the model here.

  • labelingJobResourceConfig :: Maybe LabelingJobResourceConfig

    Provides configuration information for a labeling job.

  • labelingJobAlgorithmSpecificationArn :: Text

    Specifies the Amazon Resource Name (ARN) of the algorithm used for auto-labeling. You must select one of the following ARNs:

    • Image classification

      arn:aws:sagemaker:region:027400017018:labeling-job-algorithm-specification/image-classification

    • Text classification

      arn:aws:sagemaker:region:027400017018:labeling-job-algorithm-specification/text-classification

    • Object detection

      arn:aws:sagemaker:region:027400017018:labeling-job-algorithm-specification/object-detection

    • Semantic Segmentation

      arn:aws:sagemaker:region:027400017018:labeling-job-algorithm-specification/semantic-segmentation

Instances

Instances details
FromJSON LabelingJobAlgorithmsConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.LabelingJobAlgorithmsConfig

Methods

parseJSON :: Value -> Parser LabelingJobAlgorithmsConfig #

parseJSONList :: Value -> Parser [LabelingJobAlgorithmsConfig] #

ToJSON LabelingJobAlgorithmsConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.LabelingJobAlgorithmsConfig

Methods

toJSON :: LabelingJobAlgorithmsConfig -> Value #

toEncoding :: LabelingJobAlgorithmsConfig -> Encoding #

toJSONList :: [LabelingJobAlgorithmsConfig] -> Value #

toEncodingList :: [LabelingJobAlgorithmsConfig] -> Encoding #

Generic LabelingJobAlgorithmsConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.LabelingJobAlgorithmsConfig

Associated Types

type Rep LabelingJobAlgorithmsConfig :: Type -> Type #

Methods

from :: LabelingJobAlgorithmsConfig -> Rep LabelingJobAlgorithmsConfig x #

to :: Rep LabelingJobAlgorithmsConfig x -> LabelingJobAlgorithmsConfig #

Read LabelingJobAlgorithmsConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.LabelingJobAlgorithmsConfig

Methods

readsPrec :: Int -> ReadS LabelingJobAlgorithmsConfig #

readList :: ReadS [LabelingJobAlgorithmsConfig] #

readPrec :: ReadPrec LabelingJobAlgorithmsConfig #

readListPrec :: ReadPrec [LabelingJobAlgorithmsConfig] #

Show LabelingJobAlgorithmsConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.LabelingJobAlgorithmsConfig

Methods

showsPrec :: Int -> LabelingJobAlgorithmsConfig -> ShowS #

show :: LabelingJobAlgorithmsConfig -> String #

showList :: [LabelingJobAlgorithmsConfig] -> ShowS #

NFData LabelingJobAlgorithmsConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.LabelingJobAlgorithmsConfig

Methods

rnf :: LabelingJobAlgorithmsConfig -> () #

Eq LabelingJobAlgorithmsConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.LabelingJobAlgorithmsConfig

Methods

(==) :: LabelingJobAlgorithmsConfig -> LabelingJobAlgorithmsConfig -> Bool #

(/=) :: LabelingJobAlgorithmsConfig -> LabelingJobAlgorithmsConfig -> Bool #

Hashable LabelingJobAlgorithmsConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.LabelingJobAlgorithmsConfig

Methods

hashWithSalt :: Int -> LabelingJobAlgorithmsConfig -> Int #

hash :: LabelingJobAlgorithmsConfig -> Int #

type Rep LabelingJobAlgorithmsConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.LabelingJobAlgorithmsConfig

type Rep LabelingJobAlgorithmsConfig = D1 ('MetaData "LabelingJobAlgorithmsConfig" "Amazonka.SageMaker.Types.LabelingJobAlgorithmsConfig" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "LabelingJobAlgorithmsConfig'" 'PrefixI 'True) (S1 ('MetaSel ('Just "initialActiveLearningModelArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: (S1 ('MetaSel ('Just "labelingJobResourceConfig") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe LabelingJobResourceConfig)) :*: S1 ('MetaSel ('Just "labelingJobAlgorithmSpecificationArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text))))

newLabelingJobAlgorithmsConfig Source #

Arguments

:: Text

$sel:labelingJobAlgorithmSpecificationArn:LabelingJobAlgorithmsConfig'

-> LabelingJobAlgorithmsConfig 

Create a value of LabelingJobAlgorithmsConfig with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:initialActiveLearningModelArn:LabelingJobAlgorithmsConfig', labelingJobAlgorithmsConfig_initialActiveLearningModelArn - At the end of an auto-label job Ground Truth sends the Amazon Resource Name (ARN) of the final model used for auto-labeling. You can use this model as the starting point for subsequent similar jobs by providing the ARN of the model here.

$sel:labelingJobResourceConfig:LabelingJobAlgorithmsConfig', labelingJobAlgorithmsConfig_labelingJobResourceConfig - Provides configuration information for a labeling job.

$sel:labelingJobAlgorithmSpecificationArn:LabelingJobAlgorithmsConfig', labelingJobAlgorithmsConfig_labelingJobAlgorithmSpecificationArn - Specifies the Amazon Resource Name (ARN) of the algorithm used for auto-labeling. You must select one of the following ARNs:

  • Image classification

    arn:aws:sagemaker:region:027400017018:labeling-job-algorithm-specification/image-classification

  • Text classification

    arn:aws:sagemaker:region:027400017018:labeling-job-algorithm-specification/text-classification

  • Object detection

    arn:aws:sagemaker:region:027400017018:labeling-job-algorithm-specification/object-detection

  • Semantic Segmentation

    arn:aws:sagemaker:region:027400017018:labeling-job-algorithm-specification/semantic-segmentation

labelingJobAlgorithmsConfig_initialActiveLearningModelArn :: Lens' LabelingJobAlgorithmsConfig (Maybe Text) Source #

At the end of an auto-label job Ground Truth sends the Amazon Resource Name (ARN) of the final model used for auto-labeling. You can use this model as the starting point for subsequent similar jobs by providing the ARN of the model here.

labelingJobAlgorithmsConfig_labelingJobResourceConfig :: Lens' LabelingJobAlgorithmsConfig (Maybe LabelingJobResourceConfig) Source #

Provides configuration information for a labeling job.

labelingJobAlgorithmsConfig_labelingJobAlgorithmSpecificationArn :: Lens' LabelingJobAlgorithmsConfig Text Source #

Specifies the Amazon Resource Name (ARN) of the algorithm used for auto-labeling. You must select one of the following ARNs:

  • Image classification

    arn:aws:sagemaker:region:027400017018:labeling-job-algorithm-specification/image-classification

  • Text classification

    arn:aws:sagemaker:region:027400017018:labeling-job-algorithm-specification/text-classification

  • Object detection

    arn:aws:sagemaker:region:027400017018:labeling-job-algorithm-specification/object-detection

  • Semantic Segmentation

    arn:aws:sagemaker:region:027400017018:labeling-job-algorithm-specification/semantic-segmentation

LabelingJobDataAttributes

data LabelingJobDataAttributes Source #

Attributes of the data specified by the customer. Use these to describe the data to be labeled.

See: newLabelingJobDataAttributes smart constructor.

Constructors

LabelingJobDataAttributes' 

Fields

  • contentClassifiers :: Maybe [ContentClassifier]

    Declares that your content is free of personally identifiable information or adult content. SageMaker may restrict the Amazon Mechanical Turk workers that can view your task based on this information.

Instances

Instances details
FromJSON LabelingJobDataAttributes Source # 
Instance details

Defined in Amazonka.SageMaker.Types.LabelingJobDataAttributes

Methods

parseJSON :: Value -> Parser LabelingJobDataAttributes #

parseJSONList :: Value -> Parser [LabelingJobDataAttributes] #

ToJSON LabelingJobDataAttributes Source # 
Instance details

Defined in Amazonka.SageMaker.Types.LabelingJobDataAttributes

Methods

toJSON :: LabelingJobDataAttributes -> Value #

toEncoding :: LabelingJobDataAttributes -> Encoding #

toJSONList :: [LabelingJobDataAttributes] -> Value #

toEncodingList :: [LabelingJobDataAttributes] -> Encoding #

Generic LabelingJobDataAttributes Source # 
Instance details

Defined in Amazonka.SageMaker.Types.LabelingJobDataAttributes

Associated Types

type Rep LabelingJobDataAttributes :: Type -> Type #

Methods

from :: LabelingJobDataAttributes -> Rep LabelingJobDataAttributes x #

to :: Rep LabelingJobDataAttributes x -> LabelingJobDataAttributes #

Read LabelingJobDataAttributes Source # 
Instance details

Defined in Amazonka.SageMaker.Types.LabelingJobDataAttributes

Methods

readsPrec :: Int -> ReadS LabelingJobDataAttributes #

readList :: ReadS [LabelingJobDataAttributes] #

readPrec :: ReadPrec LabelingJobDataAttributes #

readListPrec :: ReadPrec [LabelingJobDataAttributes] #

Show LabelingJobDataAttributes Source # 
Instance details

Defined in Amazonka.SageMaker.Types.LabelingJobDataAttributes

Methods

showsPrec :: Int -> LabelingJobDataAttributes -> ShowS #

show :: LabelingJobDataAttributes -> String #

showList :: [LabelingJobDataAttributes] -> ShowS #

NFData LabelingJobDataAttributes Source # 
Instance details

Defined in Amazonka.SageMaker.Types.LabelingJobDataAttributes

Methods

rnf :: LabelingJobDataAttributes -> () #

Eq LabelingJobDataAttributes Source # 
Instance details

Defined in Amazonka.SageMaker.Types.LabelingJobDataAttributes

Methods

(==) :: LabelingJobDataAttributes -> LabelingJobDataAttributes -> Bool #

(/=) :: LabelingJobDataAttributes -> LabelingJobDataAttributes -> Bool #

Hashable LabelingJobDataAttributes Source # 
Instance details

Defined in Amazonka.SageMaker.Types.LabelingJobDataAttributes

Methods

hashWithSalt :: Int -> LabelingJobDataAttributes -> Int #

hash :: LabelingJobDataAttributes -> Int #

type Rep LabelingJobDataAttributes Source # 
Instance details

Defined in Amazonka.SageMaker.Types.LabelingJobDataAttributes

type Rep LabelingJobDataAttributes = D1 ('MetaData "LabelingJobDataAttributes" "Amazonka.SageMaker.Types.LabelingJobDataAttributes" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "LabelingJobDataAttributes'" 'PrefixI 'True) (S1 ('MetaSel ('Just "contentClassifiers") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [ContentClassifier]))))

newLabelingJobDataAttributes :: LabelingJobDataAttributes Source #

Create a value of LabelingJobDataAttributes with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:contentClassifiers:LabelingJobDataAttributes', labelingJobDataAttributes_contentClassifiers - Declares that your content is free of personally identifiable information or adult content. SageMaker may restrict the Amazon Mechanical Turk workers that can view your task based on this information.

labelingJobDataAttributes_contentClassifiers :: Lens' LabelingJobDataAttributes (Maybe [ContentClassifier]) Source #

Declares that your content is free of personally identifiable information or adult content. SageMaker may restrict the Amazon Mechanical Turk workers that can view your task based on this information.

LabelingJobDataSource

data LabelingJobDataSource Source #

Provides information about the location of input data.

You must specify at least one of the following: S3DataSource or SnsDataSource.

Use SnsDataSource to specify an SNS input topic for a streaming labeling job. If you do not specify and SNS input topic ARN, Ground Truth will create a one-time labeling job.

Use S3DataSource to specify an input manifest file for both streaming and one-time labeling jobs. Adding an S3DataSource is optional if you use SnsDataSource to create a streaming labeling job.

See: newLabelingJobDataSource smart constructor.

Constructors

LabelingJobDataSource' 

Fields

Instances

Instances details
FromJSON LabelingJobDataSource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.LabelingJobDataSource

Methods

parseJSON :: Value -> Parser LabelingJobDataSource #

parseJSONList :: Value -> Parser [LabelingJobDataSource] #

ToJSON LabelingJobDataSource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.LabelingJobDataSource

Methods

toJSON :: LabelingJobDataSource -> Value #

toEncoding :: LabelingJobDataSource -> Encoding #

toJSONList :: [LabelingJobDataSource] -> Value #

toEncodingList :: [LabelingJobDataSource] -> Encoding #

Generic LabelingJobDataSource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.LabelingJobDataSource

Associated Types

type Rep LabelingJobDataSource :: Type -> Type #

Methods

from :: LabelingJobDataSource -> Rep LabelingJobDataSource x #

to :: Rep LabelingJobDataSource x -> LabelingJobDataSource #

Read LabelingJobDataSource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.LabelingJobDataSource

Methods

readsPrec :: Int -> ReadS LabelingJobDataSource #

readList :: ReadS [LabelingJobDataSource] #

readPrec :: ReadPrec LabelingJobDataSource #

readListPrec :: ReadPrec [LabelingJobDataSource] #

Show LabelingJobDataSource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.LabelingJobDataSource

Methods

showsPrec :: Int -> LabelingJobDataSource -> ShowS #

show :: LabelingJobDataSource -> String #

showList :: [LabelingJobDataSource] -> ShowS #

NFData LabelingJobDataSource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.LabelingJobDataSource

Methods

rnf :: LabelingJobDataSource -> () #

Eq LabelingJobDataSource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.LabelingJobDataSource

Methods

(==) :: LabelingJobDataSource -> LabelingJobDataSource -> Bool #

(/=) :: LabelingJobDataSource -> LabelingJobDataSource -> Bool #

Hashable LabelingJobDataSource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.LabelingJobDataSource

Methods

hashWithSalt :: Int -> LabelingJobDataSource -> Int #

hash :: LabelingJobDataSource -> Int #

type Rep LabelingJobDataSource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.LabelingJobDataSource

type Rep LabelingJobDataSource = D1 ('MetaData "LabelingJobDataSource" "Amazonka.SageMaker.Types.LabelingJobDataSource" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "LabelingJobDataSource'" 'PrefixI 'True) (S1 ('MetaSel ('Just "s3DataSource") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe LabelingJobS3DataSource)) :*: S1 ('MetaSel ('Just "snsDataSource") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe LabelingJobSnsDataSource))))

newLabelingJobDataSource :: LabelingJobDataSource Source #

Create a value of LabelingJobDataSource with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:s3DataSource:LabelingJobDataSource', labelingJobDataSource_s3DataSource - The Amazon S3 location of the input data objects.

$sel:snsDataSource:LabelingJobDataSource', labelingJobDataSource_snsDataSource - An Amazon SNS data source used for streaming labeling jobs. To learn more, see Send Data to a Streaming Labeling Job.

labelingJobDataSource_s3DataSource :: Lens' LabelingJobDataSource (Maybe LabelingJobS3DataSource) Source #

The Amazon S3 location of the input data objects.

labelingJobDataSource_snsDataSource :: Lens' LabelingJobDataSource (Maybe LabelingJobSnsDataSource) Source #

An Amazon SNS data source used for streaming labeling jobs. To learn more, see Send Data to a Streaming Labeling Job.

LabelingJobForWorkteamSummary

data LabelingJobForWorkteamSummary Source #

Provides summary information for a work team.

See: newLabelingJobForWorkteamSummary smart constructor.

Constructors

LabelingJobForWorkteamSummary' 

Fields

Instances

Instances details
FromJSON LabelingJobForWorkteamSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.LabelingJobForWorkteamSummary

Methods

parseJSON :: Value -> Parser LabelingJobForWorkteamSummary #

parseJSONList :: Value -> Parser [LabelingJobForWorkteamSummary] #

Generic LabelingJobForWorkteamSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.LabelingJobForWorkteamSummary

Associated Types

type Rep LabelingJobForWorkteamSummary :: Type -> Type #

Methods

from :: LabelingJobForWorkteamSummary -> Rep LabelingJobForWorkteamSummary x #

to :: Rep LabelingJobForWorkteamSummary x -> LabelingJobForWorkteamSummary #

Read LabelingJobForWorkteamSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.LabelingJobForWorkteamSummary

Methods

readsPrec :: Int -> ReadS LabelingJobForWorkteamSummary #

readList :: ReadS [LabelingJobForWorkteamSummary] #

readPrec :: ReadPrec LabelingJobForWorkteamSummary #

readListPrec :: ReadPrec [LabelingJobForWorkteamSummary] #

Show LabelingJobForWorkteamSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.LabelingJobForWorkteamSummary

Methods

showsPrec :: Int -> LabelingJobForWorkteamSummary -> ShowS #

show :: LabelingJobForWorkteamSummary -> String #

showList :: [LabelingJobForWorkteamSummary] -> ShowS #

NFData LabelingJobForWorkteamSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.LabelingJobForWorkteamSummary

Methods

rnf :: LabelingJobForWorkteamSummary -> () #

Eq LabelingJobForWorkteamSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.LabelingJobForWorkteamSummary

Methods

(==) :: LabelingJobForWorkteamSummary -> LabelingJobForWorkteamSummary -> Bool #

(/=) :: LabelingJobForWorkteamSummary -> LabelingJobForWorkteamSummary -> Bool #

Hashable LabelingJobForWorkteamSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.LabelingJobForWorkteamSummary

Methods

hashWithSalt :: Int -> LabelingJobForWorkteamSummary -> Int #

hash :: LabelingJobForWorkteamSummary -> Int #

type Rep LabelingJobForWorkteamSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.LabelingJobForWorkteamSummary

type Rep LabelingJobForWorkteamSummary = D1 ('MetaData "LabelingJobForWorkteamSummary" "Amazonka.SageMaker.Types.LabelingJobForWorkteamSummary" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "LabelingJobForWorkteamSummary'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "labelCounters") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe LabelCountersForWorkteam)) :*: (S1 ('MetaSel ('Just "labelingJobName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "numberOfHumanWorkersPerDataObject") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural)))) :*: (S1 ('MetaSel ('Just "jobReferenceCode") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: (S1 ('MetaSel ('Just "workRequesterAccountId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: S1 ('MetaSel ('Just "creationTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 POSIX)))))

newLabelingJobForWorkteamSummary Source #

Arguments

:: Text

$sel:jobReferenceCode:LabelingJobForWorkteamSummary'

-> Text

$sel:workRequesterAccountId:LabelingJobForWorkteamSummary'

-> UTCTime

$sel:creationTime:LabelingJobForWorkteamSummary'

-> LabelingJobForWorkteamSummary 

Create a value of LabelingJobForWorkteamSummary with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:labelCounters:LabelingJobForWorkteamSummary', labelingJobForWorkteamSummary_labelCounters - Provides information about the progress of a labeling job.

$sel:labelingJobName:LabelingJobForWorkteamSummary', labelingJobForWorkteamSummary_labelingJobName - The name of the labeling job that the work team is assigned to.

$sel:numberOfHumanWorkersPerDataObject:LabelingJobForWorkteamSummary', labelingJobForWorkteamSummary_numberOfHumanWorkersPerDataObject - The configured number of workers per data object.

$sel:jobReferenceCode:LabelingJobForWorkteamSummary', labelingJobForWorkteamSummary_jobReferenceCode - A unique identifier for a labeling job. You can use this to refer to a specific labeling job.

$sel:workRequesterAccountId:LabelingJobForWorkteamSummary', labelingJobForWorkteamSummary_workRequesterAccountId - The Amazon Web Services account ID of the account used to start the labeling job.

$sel:creationTime:LabelingJobForWorkteamSummary', labelingJobForWorkteamSummary_creationTime - The date and time that the labeling job was created.

labelingJobForWorkteamSummary_labelCounters :: Lens' LabelingJobForWorkteamSummary (Maybe LabelCountersForWorkteam) Source #

Provides information about the progress of a labeling job.

labelingJobForWorkteamSummary_labelingJobName :: Lens' LabelingJobForWorkteamSummary (Maybe Text) Source #

The name of the labeling job that the work team is assigned to.

labelingJobForWorkteamSummary_numberOfHumanWorkersPerDataObject :: Lens' LabelingJobForWorkteamSummary (Maybe Natural) Source #

The configured number of workers per data object.

labelingJobForWorkteamSummary_jobReferenceCode :: Lens' LabelingJobForWorkteamSummary Text Source #

A unique identifier for a labeling job. You can use this to refer to a specific labeling job.

labelingJobForWorkteamSummary_workRequesterAccountId :: Lens' LabelingJobForWorkteamSummary Text Source #

The Amazon Web Services account ID of the account used to start the labeling job.

labelingJobForWorkteamSummary_creationTime :: Lens' LabelingJobForWorkteamSummary UTCTime Source #

The date and time that the labeling job was created.

LabelingJobInputConfig

data LabelingJobInputConfig Source #

Input configuration information for a labeling job.

See: newLabelingJobInputConfig smart constructor.

Constructors

LabelingJobInputConfig' 

Fields

Instances

Instances details
FromJSON LabelingJobInputConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.LabelingJobInputConfig

Methods

parseJSON :: Value -> Parser LabelingJobInputConfig #

parseJSONList :: Value -> Parser [LabelingJobInputConfig] #

ToJSON LabelingJobInputConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.LabelingJobInputConfig

Methods

toJSON :: LabelingJobInputConfig -> Value #

toEncoding :: LabelingJobInputConfig -> Encoding #

toJSONList :: [LabelingJobInputConfig] -> Value #

toEncodingList :: [LabelingJobInputConfig] -> Encoding #

Generic LabelingJobInputConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.LabelingJobInputConfig

Associated Types

type Rep LabelingJobInputConfig :: Type -> Type #

Methods

from :: LabelingJobInputConfig -> Rep LabelingJobInputConfig x #

to :: Rep LabelingJobInputConfig x -> LabelingJobInputConfig #

Read LabelingJobInputConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.LabelingJobInputConfig

Methods

readsPrec :: Int -> ReadS LabelingJobInputConfig #

readList :: ReadS [LabelingJobInputConfig] #

readPrec :: ReadPrec LabelingJobInputConfig #

readListPrec :: ReadPrec [LabelingJobInputConfig] #

Show LabelingJobInputConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.LabelingJobInputConfig

Methods

showsPrec :: Int -> LabelingJobInputConfig -> ShowS #

show :: LabelingJobInputConfig -> String #

showList :: [LabelingJobInputConfig] -> ShowS #

NFData LabelingJobInputConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.LabelingJobInputConfig

Methods

rnf :: LabelingJobInputConfig -> () #

Eq LabelingJobInputConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.LabelingJobInputConfig

Methods

(==) :: LabelingJobInputConfig -> LabelingJobInputConfig -> Bool #

(/=) :: LabelingJobInputConfig -> LabelingJobInputConfig -> Bool #

Hashable LabelingJobInputConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.LabelingJobInputConfig

Methods

hashWithSalt :: Int -> LabelingJobInputConfig -> Int #

hash :: LabelingJobInputConfig -> Int #

type Rep LabelingJobInputConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.LabelingJobInputConfig

type Rep LabelingJobInputConfig = D1 ('MetaData "LabelingJobInputConfig" "Amazonka.SageMaker.Types.LabelingJobInputConfig" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "LabelingJobInputConfig'" 'PrefixI 'True) (S1 ('MetaSel ('Just "dataAttributes") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe LabelingJobDataAttributes)) :*: S1 ('MetaSel ('Just "dataSource") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 LabelingJobDataSource)))

newLabelingJobInputConfig Source #

Arguments

:: LabelingJobDataSource

$sel:dataSource:LabelingJobInputConfig'

-> LabelingJobInputConfig 

Create a value of LabelingJobInputConfig with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:dataAttributes:LabelingJobInputConfig', labelingJobInputConfig_dataAttributes - Attributes of the data specified by the customer.

$sel:dataSource:LabelingJobInputConfig', labelingJobInputConfig_dataSource - The location of the input data.

labelingJobInputConfig_dataAttributes :: Lens' LabelingJobInputConfig (Maybe LabelingJobDataAttributes) Source #

Attributes of the data specified by the customer.

labelingJobInputConfig_dataSource :: Lens' LabelingJobInputConfig LabelingJobDataSource Source #

The location of the input data.

LabelingJobOutput

data LabelingJobOutput Source #

Specifies the location of the output produced by the labeling job.

See: newLabelingJobOutput smart constructor.

Constructors

LabelingJobOutput' 

Fields

Instances

Instances details
FromJSON LabelingJobOutput Source # 
Instance details

Defined in Amazonka.SageMaker.Types.LabelingJobOutput

Methods

parseJSON :: Value -> Parser LabelingJobOutput #

parseJSONList :: Value -> Parser [LabelingJobOutput] #

Generic LabelingJobOutput Source # 
Instance details

Defined in Amazonka.SageMaker.Types.LabelingJobOutput

Associated Types

type Rep LabelingJobOutput :: Type -> Type #

Methods

from :: LabelingJobOutput -> Rep LabelingJobOutput x #

to :: Rep LabelingJobOutput x -> LabelingJobOutput #

Read LabelingJobOutput Source # 
Instance details

Defined in Amazonka.SageMaker.Types.LabelingJobOutput

Methods

readsPrec :: Int -> ReadS LabelingJobOutput #

readList :: ReadS [LabelingJobOutput] #

readPrec :: ReadPrec LabelingJobOutput #

readListPrec :: ReadPrec [LabelingJobOutput] #

Show LabelingJobOutput Source # 
Instance details

Defined in Amazonka.SageMaker.Types.LabelingJobOutput

Methods

showsPrec :: Int -> LabelingJobOutput -> ShowS #

show :: LabelingJobOutput -> String #

showList :: [LabelingJobOutput] -> ShowS #

NFData LabelingJobOutput Source # 
Instance details

Defined in Amazonka.SageMaker.Types.LabelingJobOutput

Methods

rnf :: LabelingJobOutput -> () #

Eq LabelingJobOutput Source # 
Instance details

Defined in Amazonka.SageMaker.Types.LabelingJobOutput

Methods

(==) :: LabelingJobOutput -> LabelingJobOutput -> Bool #

(/=) :: LabelingJobOutput -> LabelingJobOutput -> Bool #

Hashable LabelingJobOutput Source # 
Instance details

Defined in Amazonka.SageMaker.Types.LabelingJobOutput

Methods

hashWithSalt :: Int -> LabelingJobOutput -> Int #

hash :: LabelingJobOutput -> Int #

type Rep LabelingJobOutput Source # 
Instance details

Defined in Amazonka.SageMaker.Types.LabelingJobOutput

type Rep LabelingJobOutput = D1 ('MetaData "LabelingJobOutput" "Amazonka.SageMaker.Types.LabelingJobOutput" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "LabelingJobOutput'" 'PrefixI 'True) (S1 ('MetaSel ('Just "finalActiveLearningModelArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "outputDatasetS3Uri") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))

newLabelingJobOutput Source #

Arguments

:: Text

$sel:outputDatasetS3Uri:LabelingJobOutput'

-> LabelingJobOutput 

Create a value of LabelingJobOutput with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:finalActiveLearningModelArn:LabelingJobOutput', labelingJobOutput_finalActiveLearningModelArn - The Amazon Resource Name (ARN) for the most recent SageMaker model trained as part of automated data labeling.

$sel:outputDatasetS3Uri:LabelingJobOutput', labelingJobOutput_outputDatasetS3Uri - The Amazon S3 bucket location of the manifest file for labeled data.

labelingJobOutput_finalActiveLearningModelArn :: Lens' LabelingJobOutput (Maybe Text) Source #

The Amazon Resource Name (ARN) for the most recent SageMaker model trained as part of automated data labeling.

labelingJobOutput_outputDatasetS3Uri :: Lens' LabelingJobOutput Text Source #

The Amazon S3 bucket location of the manifest file for labeled data.

LabelingJobOutputConfig

data LabelingJobOutputConfig Source #

Output configuration information for a labeling job.

See: newLabelingJobOutputConfig smart constructor.

Constructors

LabelingJobOutputConfig' 

Fields

  • kmsKeyId :: Maybe Text

    The Amazon Web Services Key Management Service ID of the key used to encrypt the output data, if any.

    If you provide your own KMS key ID, you must add the required permissions to your KMS key described in Encrypt Output Data and Storage Volume with Amazon Web Services KMS.

    If you don't provide a KMS key ID, Amazon SageMaker uses the default Amazon Web Services KMS key for Amazon S3 for your role's account to encrypt your output data.

    If you use a bucket policy with an s3:PutObject permission that only allows objects with server-side encryption, set the condition key of s3:x-amz-server-side-encryption to "aws:kms". For more information, see KMS-Managed Encryption Keys in the Amazon Simple Storage Service Developer Guide.

  • snsTopicArn :: Maybe Text

    An Amazon Simple Notification Service (Amazon SNS) output topic ARN. Provide a SnsTopicArn if you want to do real time chaining to another streaming job and receive an Amazon SNS notifications each time a data object is submitted by a worker.

    If you provide an SnsTopicArn in OutputConfig, when workers complete labeling tasks, Ground Truth will send labeling task output data to the SNS output topic you specify here.

    To learn more, see Receive Output Data from a Streaming Labeling Job.

  • s3OutputPath :: Text

    The Amazon S3 location to write output data.

Instances

Instances details
FromJSON LabelingJobOutputConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.LabelingJobOutputConfig

Methods

parseJSON :: Value -> Parser LabelingJobOutputConfig #

parseJSONList :: Value -> Parser [LabelingJobOutputConfig] #

ToJSON LabelingJobOutputConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.LabelingJobOutputConfig

Methods

toJSON :: LabelingJobOutputConfig -> Value #

toEncoding :: LabelingJobOutputConfig -> Encoding #

toJSONList :: [LabelingJobOutputConfig] -> Value #

toEncodingList :: [LabelingJobOutputConfig] -> Encoding #

Generic LabelingJobOutputConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.LabelingJobOutputConfig

Associated Types

type Rep LabelingJobOutputConfig :: Type -> Type #

Methods

from :: LabelingJobOutputConfig -> Rep LabelingJobOutputConfig x #

to :: Rep LabelingJobOutputConfig x -> LabelingJobOutputConfig #

Read LabelingJobOutputConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.LabelingJobOutputConfig

Methods

readsPrec :: Int -> ReadS LabelingJobOutputConfig #

readList :: ReadS [LabelingJobOutputConfig] #

readPrec :: ReadPrec LabelingJobOutputConfig #

readListPrec :: ReadPrec [LabelingJobOutputConfig] #

Show LabelingJobOutputConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.LabelingJobOutputConfig

Methods

showsPrec :: Int -> LabelingJobOutputConfig -> ShowS #

show :: LabelingJobOutputConfig -> String #

showList :: [LabelingJobOutputConfig] -> ShowS #

NFData LabelingJobOutputConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.LabelingJobOutputConfig

Methods

rnf :: LabelingJobOutputConfig -> () #

Eq LabelingJobOutputConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.LabelingJobOutputConfig

Methods

(==) :: LabelingJobOutputConfig -> LabelingJobOutputConfig -> Bool #

(/=) :: LabelingJobOutputConfig -> LabelingJobOutputConfig -> Bool #

Hashable LabelingJobOutputConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.LabelingJobOutputConfig

Methods

hashWithSalt :: Int -> LabelingJobOutputConfig -> Int #

hash :: LabelingJobOutputConfig -> Int #

type Rep LabelingJobOutputConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.LabelingJobOutputConfig

type Rep LabelingJobOutputConfig = D1 ('MetaData "LabelingJobOutputConfig" "Amazonka.SageMaker.Types.LabelingJobOutputConfig" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "LabelingJobOutputConfig'" 'PrefixI 'True) (S1 ('MetaSel ('Just "kmsKeyId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: (S1 ('MetaSel ('Just "snsTopicArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "s3OutputPath") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text))))

newLabelingJobOutputConfig Source #

Arguments

:: Text

$sel:s3OutputPath:LabelingJobOutputConfig'

-> LabelingJobOutputConfig 

Create a value of LabelingJobOutputConfig with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:kmsKeyId:LabelingJobOutputConfig', labelingJobOutputConfig_kmsKeyId - The Amazon Web Services Key Management Service ID of the key used to encrypt the output data, if any.

If you provide your own KMS key ID, you must add the required permissions to your KMS key described in Encrypt Output Data and Storage Volume with Amazon Web Services KMS.

If you don't provide a KMS key ID, Amazon SageMaker uses the default Amazon Web Services KMS key for Amazon S3 for your role's account to encrypt your output data.

If you use a bucket policy with an s3:PutObject permission that only allows objects with server-side encryption, set the condition key of s3:x-amz-server-side-encryption to "aws:kms". For more information, see KMS-Managed Encryption Keys in the Amazon Simple Storage Service Developer Guide.

$sel:snsTopicArn:LabelingJobOutputConfig', labelingJobOutputConfig_snsTopicArn - An Amazon Simple Notification Service (Amazon SNS) output topic ARN. Provide a SnsTopicArn if you want to do real time chaining to another streaming job and receive an Amazon SNS notifications each time a data object is submitted by a worker.

If you provide an SnsTopicArn in OutputConfig, when workers complete labeling tasks, Ground Truth will send labeling task output data to the SNS output topic you specify here.

To learn more, see Receive Output Data from a Streaming Labeling Job.

$sel:s3OutputPath:LabelingJobOutputConfig', labelingJobOutputConfig_s3OutputPath - The Amazon S3 location to write output data.

labelingJobOutputConfig_kmsKeyId :: Lens' LabelingJobOutputConfig (Maybe Text) Source #

The Amazon Web Services Key Management Service ID of the key used to encrypt the output data, if any.

If you provide your own KMS key ID, you must add the required permissions to your KMS key described in Encrypt Output Data and Storage Volume with Amazon Web Services KMS.

If you don't provide a KMS key ID, Amazon SageMaker uses the default Amazon Web Services KMS key for Amazon S3 for your role's account to encrypt your output data.

If you use a bucket policy with an s3:PutObject permission that only allows objects with server-side encryption, set the condition key of s3:x-amz-server-side-encryption to "aws:kms". For more information, see KMS-Managed Encryption Keys in the Amazon Simple Storage Service Developer Guide.

labelingJobOutputConfig_snsTopicArn :: Lens' LabelingJobOutputConfig (Maybe Text) Source #

An Amazon Simple Notification Service (Amazon SNS) output topic ARN. Provide a SnsTopicArn if you want to do real time chaining to another streaming job and receive an Amazon SNS notifications each time a data object is submitted by a worker.

If you provide an SnsTopicArn in OutputConfig, when workers complete labeling tasks, Ground Truth will send labeling task output data to the SNS output topic you specify here.

To learn more, see Receive Output Data from a Streaming Labeling Job.

labelingJobOutputConfig_s3OutputPath :: Lens' LabelingJobOutputConfig Text Source #

The Amazon S3 location to write output data.

LabelingJobResourceConfig

data LabelingJobResourceConfig Source #

Configure encryption on the storage volume attached to the ML compute instance used to run automated data labeling model training and inference.

See: newLabelingJobResourceConfig smart constructor.

Constructors

LabelingJobResourceConfig' 

Fields

  • volumeKmsKeyId :: Maybe Text

    The Amazon Web Services Key Management Service (Amazon Web Services KMS) key that Amazon SageMaker uses to encrypt data on the storage volume attached to the ML compute instance(s) that run the training and inference jobs used for automated data labeling.

    You can only specify a VolumeKmsKeyId when you create a labeling job with automated data labeling enabled using the API operation CreateLabelingJob. You cannot specify an Amazon Web Services KMS key to encrypt the storage volume used for automated data labeling model training and inference when you create a labeling job using the console. To learn more, see Output Data and Storage Volume Encryption.

    The VolumeKmsKeyId can be any of the following formats:

    • KMS Key ID

      "1234abcd-12ab-34cd-56ef-1234567890ab"

    • Amazon Resource Name (ARN) of a KMS Key

      "arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab"
  • vpcConfig :: Maybe VpcConfig
     

Instances

Instances details
FromJSON LabelingJobResourceConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.LabelingJobResourceConfig

Methods

parseJSON :: Value -> Parser LabelingJobResourceConfig #

parseJSONList :: Value -> Parser [LabelingJobResourceConfig] #

ToJSON LabelingJobResourceConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.LabelingJobResourceConfig

Methods

toJSON :: LabelingJobResourceConfig -> Value #

toEncoding :: LabelingJobResourceConfig -> Encoding #

toJSONList :: [LabelingJobResourceConfig] -> Value #

toEncodingList :: [LabelingJobResourceConfig] -> Encoding #

Generic LabelingJobResourceConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.LabelingJobResourceConfig

Associated Types

type Rep LabelingJobResourceConfig :: Type -> Type #

Methods

from :: LabelingJobResourceConfig -> Rep LabelingJobResourceConfig x #

to :: Rep LabelingJobResourceConfig x -> LabelingJobResourceConfig #

Read LabelingJobResourceConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.LabelingJobResourceConfig

Methods

readsPrec :: Int -> ReadS LabelingJobResourceConfig #

readList :: ReadS [LabelingJobResourceConfig] #

readPrec :: ReadPrec LabelingJobResourceConfig #

readListPrec :: ReadPrec [LabelingJobResourceConfig] #

Show LabelingJobResourceConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.LabelingJobResourceConfig

Methods

showsPrec :: Int -> LabelingJobResourceConfig -> ShowS #

show :: LabelingJobResourceConfig -> String #

showList :: [LabelingJobResourceConfig] -> ShowS #

NFData LabelingJobResourceConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.LabelingJobResourceConfig

Methods

rnf :: LabelingJobResourceConfig -> () #

Eq LabelingJobResourceConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.LabelingJobResourceConfig

Methods

(==) :: LabelingJobResourceConfig -> LabelingJobResourceConfig -> Bool #

(/=) :: LabelingJobResourceConfig -> LabelingJobResourceConfig -> Bool #

Hashable LabelingJobResourceConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.LabelingJobResourceConfig

Methods

hashWithSalt :: Int -> LabelingJobResourceConfig -> Int #

hash :: LabelingJobResourceConfig -> Int #

type Rep LabelingJobResourceConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.LabelingJobResourceConfig

type Rep LabelingJobResourceConfig = D1 ('MetaData "LabelingJobResourceConfig" "Amazonka.SageMaker.Types.LabelingJobResourceConfig" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "LabelingJobResourceConfig'" 'PrefixI 'True) (S1 ('MetaSel ('Just "volumeKmsKeyId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "vpcConfig") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe VpcConfig))))

newLabelingJobResourceConfig :: LabelingJobResourceConfig Source #

Create a value of LabelingJobResourceConfig with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:volumeKmsKeyId:LabelingJobResourceConfig', labelingJobResourceConfig_volumeKmsKeyId - The Amazon Web Services Key Management Service (Amazon Web Services KMS) key that Amazon SageMaker uses to encrypt data on the storage volume attached to the ML compute instance(s) that run the training and inference jobs used for automated data labeling.

You can only specify a VolumeKmsKeyId when you create a labeling job with automated data labeling enabled using the API operation CreateLabelingJob. You cannot specify an Amazon Web Services KMS key to encrypt the storage volume used for automated data labeling model training and inference when you create a labeling job using the console. To learn more, see Output Data and Storage Volume Encryption.

The VolumeKmsKeyId can be any of the following formats:

  • KMS Key ID

    "1234abcd-12ab-34cd-56ef-1234567890ab"

  • Amazon Resource Name (ARN) of a KMS Key

    "arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab"

$sel:vpcConfig:LabelingJobResourceConfig', labelingJobResourceConfig_vpcConfig - Undocumented member.

labelingJobResourceConfig_volumeKmsKeyId :: Lens' LabelingJobResourceConfig (Maybe Text) Source #

The Amazon Web Services Key Management Service (Amazon Web Services KMS) key that Amazon SageMaker uses to encrypt data on the storage volume attached to the ML compute instance(s) that run the training and inference jobs used for automated data labeling.

You can only specify a VolumeKmsKeyId when you create a labeling job with automated data labeling enabled using the API operation CreateLabelingJob. You cannot specify an Amazon Web Services KMS key to encrypt the storage volume used for automated data labeling model training and inference when you create a labeling job using the console. To learn more, see Output Data and Storage Volume Encryption.

The VolumeKmsKeyId can be any of the following formats:

  • KMS Key ID

    "1234abcd-12ab-34cd-56ef-1234567890ab"

  • Amazon Resource Name (ARN) of a KMS Key

    "arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab"

labelingJobResourceConfig_vpcConfig :: Lens' LabelingJobResourceConfig (Maybe VpcConfig) Source #

Undocumented member.

LabelingJobS3DataSource

data LabelingJobS3DataSource Source #

The Amazon S3 location of the input data objects.

See: newLabelingJobS3DataSource smart constructor.

Constructors

LabelingJobS3DataSource' 

Fields

  • manifestS3Uri :: Text

    The Amazon S3 location of the manifest file that describes the input data objects.

    The input manifest file referenced in ManifestS3Uri must contain one of the following keys: source-ref or source. The value of the keys are interpreted as follows:

    • source-ref: The source of the object is the Amazon S3 object specified in the value. Use this value when the object is a binary object, such as an image.
    • source: The source of the object is the value. Use this value when the object is a text value.

    If you are a new user of Ground Truth, it is recommended you review Use an Input Manifest File in the Amazon SageMaker Developer Guide to learn how to create an input manifest file.

Instances

Instances details
FromJSON LabelingJobS3DataSource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.LabelingJobS3DataSource

Methods

parseJSON :: Value -> Parser LabelingJobS3DataSource #

parseJSONList :: Value -> Parser [LabelingJobS3DataSource] #

ToJSON LabelingJobS3DataSource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.LabelingJobS3DataSource

Methods

toJSON :: LabelingJobS3DataSource -> Value #

toEncoding :: LabelingJobS3DataSource -> Encoding #

toJSONList :: [LabelingJobS3DataSource] -> Value #

toEncodingList :: [LabelingJobS3DataSource] -> Encoding #

Generic LabelingJobS3DataSource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.LabelingJobS3DataSource

Associated Types

type Rep LabelingJobS3DataSource :: Type -> Type #

Methods

from :: LabelingJobS3DataSource -> Rep LabelingJobS3DataSource x #

to :: Rep LabelingJobS3DataSource x -> LabelingJobS3DataSource #

Read LabelingJobS3DataSource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.LabelingJobS3DataSource

Methods

readsPrec :: Int -> ReadS LabelingJobS3DataSource #

readList :: ReadS [LabelingJobS3DataSource] #

readPrec :: ReadPrec LabelingJobS3DataSource #

readListPrec :: ReadPrec [LabelingJobS3DataSource] #

Show LabelingJobS3DataSource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.LabelingJobS3DataSource

Methods

showsPrec :: Int -> LabelingJobS3DataSource -> ShowS #

show :: LabelingJobS3DataSource -> String #

showList :: [LabelingJobS3DataSource] -> ShowS #

NFData LabelingJobS3DataSource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.LabelingJobS3DataSource

Methods

rnf :: LabelingJobS3DataSource -> () #

Eq LabelingJobS3DataSource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.LabelingJobS3DataSource

Methods

(==) :: LabelingJobS3DataSource -> LabelingJobS3DataSource -> Bool #

(/=) :: LabelingJobS3DataSource -> LabelingJobS3DataSource -> Bool #

Hashable LabelingJobS3DataSource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.LabelingJobS3DataSource

Methods

hashWithSalt :: Int -> LabelingJobS3DataSource -> Int #

hash :: LabelingJobS3DataSource -> Int #

type Rep LabelingJobS3DataSource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.LabelingJobS3DataSource

type Rep LabelingJobS3DataSource = D1 ('MetaData "LabelingJobS3DataSource" "Amazonka.SageMaker.Types.LabelingJobS3DataSource" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "LabelingJobS3DataSource'" 'PrefixI 'True) (S1 ('MetaSel ('Just "manifestS3Uri") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))

newLabelingJobS3DataSource Source #

Arguments

:: Text

$sel:manifestS3Uri:LabelingJobS3DataSource'

-> LabelingJobS3DataSource 

Create a value of LabelingJobS3DataSource with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:manifestS3Uri:LabelingJobS3DataSource', labelingJobS3DataSource_manifestS3Uri - The Amazon S3 location of the manifest file that describes the input data objects.

The input manifest file referenced in ManifestS3Uri must contain one of the following keys: source-ref or source. The value of the keys are interpreted as follows:

  • source-ref: The source of the object is the Amazon S3 object specified in the value. Use this value when the object is a binary object, such as an image.
  • source: The source of the object is the value. Use this value when the object is a text value.

If you are a new user of Ground Truth, it is recommended you review Use an Input Manifest File in the Amazon SageMaker Developer Guide to learn how to create an input manifest file.

labelingJobS3DataSource_manifestS3Uri :: Lens' LabelingJobS3DataSource Text Source #

The Amazon S3 location of the manifest file that describes the input data objects.

The input manifest file referenced in ManifestS3Uri must contain one of the following keys: source-ref or source. The value of the keys are interpreted as follows:

  • source-ref: The source of the object is the Amazon S3 object specified in the value. Use this value when the object is a binary object, such as an image.
  • source: The source of the object is the value. Use this value when the object is a text value.

If you are a new user of Ground Truth, it is recommended you review Use an Input Manifest File in the Amazon SageMaker Developer Guide to learn how to create an input manifest file.

LabelingJobSnsDataSource

data LabelingJobSnsDataSource Source #

An Amazon SNS data source used for streaming labeling jobs.

See: newLabelingJobSnsDataSource smart constructor.

Constructors

LabelingJobSnsDataSource' 

Fields

  • snsTopicArn :: Text

    The Amazon SNS input topic Amazon Resource Name (ARN). Specify the ARN of the input topic you will use to send new data objects to a streaming labeling job.

Instances

Instances details
FromJSON LabelingJobSnsDataSource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.LabelingJobSnsDataSource

Methods

parseJSON :: Value -> Parser LabelingJobSnsDataSource #

parseJSONList :: Value -> Parser [LabelingJobSnsDataSource] #

ToJSON LabelingJobSnsDataSource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.LabelingJobSnsDataSource

Methods

toJSON :: LabelingJobSnsDataSource -> Value #

toEncoding :: LabelingJobSnsDataSource -> Encoding #

toJSONList :: [LabelingJobSnsDataSource] -> Value #

toEncodingList :: [LabelingJobSnsDataSource] -> Encoding #

Generic LabelingJobSnsDataSource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.LabelingJobSnsDataSource

Associated Types

type Rep LabelingJobSnsDataSource :: Type -> Type #

Methods

from :: LabelingJobSnsDataSource -> Rep LabelingJobSnsDataSource x #

to :: Rep LabelingJobSnsDataSource x -> LabelingJobSnsDataSource #

Read LabelingJobSnsDataSource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.LabelingJobSnsDataSource

Methods

readsPrec :: Int -> ReadS LabelingJobSnsDataSource #

readList :: ReadS [LabelingJobSnsDataSource] #

readPrec :: ReadPrec LabelingJobSnsDataSource #

readListPrec :: ReadPrec [LabelingJobSnsDataSource] #

Show LabelingJobSnsDataSource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.LabelingJobSnsDataSource

Methods

showsPrec :: Int -> LabelingJobSnsDataSource -> ShowS #

show :: LabelingJobSnsDataSource -> String #

showList :: [LabelingJobSnsDataSource] -> ShowS #

NFData LabelingJobSnsDataSource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.LabelingJobSnsDataSource

Methods

rnf :: LabelingJobSnsDataSource -> () #

Eq LabelingJobSnsDataSource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.LabelingJobSnsDataSource

Methods

(==) :: LabelingJobSnsDataSource -> LabelingJobSnsDataSource -> Bool #

(/=) :: LabelingJobSnsDataSource -> LabelingJobSnsDataSource -> Bool #

Hashable LabelingJobSnsDataSource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.LabelingJobSnsDataSource

Methods

hashWithSalt :: Int -> LabelingJobSnsDataSource -> Int #

hash :: LabelingJobSnsDataSource -> Int #

type Rep LabelingJobSnsDataSource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.LabelingJobSnsDataSource

type Rep LabelingJobSnsDataSource = D1 ('MetaData "LabelingJobSnsDataSource" "Amazonka.SageMaker.Types.LabelingJobSnsDataSource" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "LabelingJobSnsDataSource'" 'PrefixI 'True) (S1 ('MetaSel ('Just "snsTopicArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))

newLabelingJobSnsDataSource Source #

Arguments

:: Text

$sel:snsTopicArn:LabelingJobSnsDataSource'

-> LabelingJobSnsDataSource 

Create a value of LabelingJobSnsDataSource with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:snsTopicArn:LabelingJobSnsDataSource', labelingJobSnsDataSource_snsTopicArn - The Amazon SNS input topic Amazon Resource Name (ARN). Specify the ARN of the input topic you will use to send new data objects to a streaming labeling job.

labelingJobSnsDataSource_snsTopicArn :: Lens' LabelingJobSnsDataSource Text Source #

The Amazon SNS input topic Amazon Resource Name (ARN). Specify the ARN of the input topic you will use to send new data objects to a streaming labeling job.

LabelingJobStoppingConditions

data LabelingJobStoppingConditions Source #

A set of conditions for stopping a labeling job. If any of the conditions are met, the job is automatically stopped. You can use these conditions to control the cost of data labeling.

Labeling jobs fail after 30 days with an appropriate client error message.

See: newLabelingJobStoppingConditions smart constructor.

Constructors

LabelingJobStoppingConditions' 

Fields

Instances

Instances details
FromJSON LabelingJobStoppingConditions Source # 
Instance details

Defined in Amazonka.SageMaker.Types.LabelingJobStoppingConditions

Methods

parseJSON :: Value -> Parser LabelingJobStoppingConditions #

parseJSONList :: Value -> Parser [LabelingJobStoppingConditions] #

ToJSON LabelingJobStoppingConditions Source # 
Instance details

Defined in Amazonka.SageMaker.Types.LabelingJobStoppingConditions

Methods

toJSON :: LabelingJobStoppingConditions -> Value #

toEncoding :: LabelingJobStoppingConditions -> Encoding #

toJSONList :: [LabelingJobStoppingConditions] -> Value #

toEncodingList :: [LabelingJobStoppingConditions] -> Encoding #

Generic LabelingJobStoppingConditions Source # 
Instance details

Defined in Amazonka.SageMaker.Types.LabelingJobStoppingConditions

Associated Types

type Rep LabelingJobStoppingConditions :: Type -> Type #

Methods

from :: LabelingJobStoppingConditions -> Rep LabelingJobStoppingConditions x #

to :: Rep LabelingJobStoppingConditions x -> LabelingJobStoppingConditions #

Read LabelingJobStoppingConditions Source # 
Instance details

Defined in Amazonka.SageMaker.Types.LabelingJobStoppingConditions

Methods

readsPrec :: Int -> ReadS LabelingJobStoppingConditions #

readList :: ReadS [LabelingJobStoppingConditions] #

readPrec :: ReadPrec LabelingJobStoppingConditions #

readListPrec :: ReadPrec [LabelingJobStoppingConditions] #

Show LabelingJobStoppingConditions Source # 
Instance details

Defined in Amazonka.SageMaker.Types.LabelingJobStoppingConditions

Methods

showsPrec :: Int -> LabelingJobStoppingConditions -> ShowS #

show :: LabelingJobStoppingConditions -> String #

showList :: [LabelingJobStoppingConditions] -> ShowS #

NFData LabelingJobStoppingConditions Source # 
Instance details

Defined in Amazonka.SageMaker.Types.LabelingJobStoppingConditions

Methods

rnf :: LabelingJobStoppingConditions -> () #

Eq LabelingJobStoppingConditions Source # 
Instance details

Defined in Amazonka.SageMaker.Types.LabelingJobStoppingConditions

Methods

(==) :: LabelingJobStoppingConditions -> LabelingJobStoppingConditions -> Bool #

(/=) :: LabelingJobStoppingConditions -> LabelingJobStoppingConditions -> Bool #

Hashable LabelingJobStoppingConditions Source # 
Instance details

Defined in Amazonka.SageMaker.Types.LabelingJobStoppingConditions

Methods

hashWithSalt :: Int -> LabelingJobStoppingConditions -> Int #

hash :: LabelingJobStoppingConditions -> Int #

type Rep LabelingJobStoppingConditions Source # 
Instance details

Defined in Amazonka.SageMaker.Types.LabelingJobStoppingConditions

type Rep LabelingJobStoppingConditions = D1 ('MetaData "LabelingJobStoppingConditions" "Amazonka.SageMaker.Types.LabelingJobStoppingConditions" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "LabelingJobStoppingConditions'" 'PrefixI 'True) (S1 ('MetaSel ('Just "maxHumanLabeledObjectCount") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural)) :*: S1 ('MetaSel ('Just "maxPercentageOfInputDatasetLabeled") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural))))

newLabelingJobStoppingConditions :: LabelingJobStoppingConditions Source #

Create a value of LabelingJobStoppingConditions with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:maxHumanLabeledObjectCount:LabelingJobStoppingConditions', labelingJobStoppingConditions_maxHumanLabeledObjectCount - The maximum number of objects that can be labeled by human workers.

$sel:maxPercentageOfInputDatasetLabeled:LabelingJobStoppingConditions', labelingJobStoppingConditions_maxPercentageOfInputDatasetLabeled - The maximum number of input data objects that should be labeled.

labelingJobStoppingConditions_maxHumanLabeledObjectCount :: Lens' LabelingJobStoppingConditions (Maybe Natural) Source #

The maximum number of objects that can be labeled by human workers.

labelingJobStoppingConditions_maxPercentageOfInputDatasetLabeled :: Lens' LabelingJobStoppingConditions (Maybe Natural) Source #

The maximum number of input data objects that should be labeled.

LabelingJobSummary

data LabelingJobSummary Source #

Provides summary information about a labeling job.

See: newLabelingJobSummary smart constructor.

Constructors

LabelingJobSummary' 

Fields

Instances

Instances details
FromJSON LabelingJobSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.LabelingJobSummary

Methods

parseJSON :: Value -> Parser LabelingJobSummary #

parseJSONList :: Value -> Parser [LabelingJobSummary] #

Generic LabelingJobSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.LabelingJobSummary

Associated Types

type Rep LabelingJobSummary :: Type -> Type #

Methods

from :: LabelingJobSummary -> Rep LabelingJobSummary x #

to :: Rep LabelingJobSummary x -> LabelingJobSummary #

Read LabelingJobSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.LabelingJobSummary

Methods

readsPrec :: Int -> ReadS LabelingJobSummary #

readList :: ReadS [LabelingJobSummary] #

readPrec :: ReadPrec LabelingJobSummary #

readListPrec :: ReadPrec [LabelingJobSummary] #

Show LabelingJobSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.LabelingJobSummary

Methods

showsPrec :: Int -> LabelingJobSummary -> ShowS #

show :: LabelingJobSummary -> String #

showList :: [LabelingJobSummary] -> ShowS #

NFData LabelingJobSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.LabelingJobSummary

Methods

rnf :: LabelingJobSummary -> () #

Eq LabelingJobSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.LabelingJobSummary

Methods

(==) :: LabelingJobSummary -> LabelingJobSummary -> Bool #

(/=) :: LabelingJobSummary -> LabelingJobSummary -> Bool #

Hashable LabelingJobSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.LabelingJobSummary

Methods

hashWithSalt :: Int -> LabelingJobSummary -> Int #

hash :: LabelingJobSummary -> Int #

type Rep LabelingJobSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.LabelingJobSummary

type Rep LabelingJobSummary = D1 ('MetaData "LabelingJobSummary" "Amazonka.SageMaker.Types.LabelingJobSummary" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "LabelingJobSummary'" 'PrefixI 'True) (((S1 ('MetaSel ('Just "annotationConsolidationLambdaArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: (S1 ('MetaSel ('Just "failureReason") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "inputConfig") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe LabelingJobInputConfig)))) :*: (S1 ('MetaSel ('Just "labelingJobOutput") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe LabelingJobOutput)) :*: (S1 ('MetaSel ('Just "labelingJobName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: S1 ('MetaSel ('Just "labelingJobArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))) :*: ((S1 ('MetaSel ('Just "creationTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 POSIX) :*: (S1 ('MetaSel ('Just "lastModifiedTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 POSIX) :*: S1 ('MetaSel ('Just "labelingJobStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 LabelingJobStatus))) :*: (S1 ('MetaSel ('Just "labelCounters") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 LabelCounters) :*: (S1 ('MetaSel ('Just "workteamArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: S1 ('MetaSel ('Just "preHumanTaskLambdaArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text))))))

newLabelingJobSummary Source #

Arguments

:: Text

$sel:labelingJobName:LabelingJobSummary'

-> Text

$sel:labelingJobArn:LabelingJobSummary'

-> UTCTime

$sel:creationTime:LabelingJobSummary'

-> UTCTime

$sel:lastModifiedTime:LabelingJobSummary'

-> LabelingJobStatus

$sel:labelingJobStatus:LabelingJobSummary'

-> LabelCounters

$sel:labelCounters:LabelingJobSummary'

-> Text

$sel:workteamArn:LabelingJobSummary'

-> Text

$sel:preHumanTaskLambdaArn:LabelingJobSummary'

-> LabelingJobSummary 

Create a value of LabelingJobSummary with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:annotationConsolidationLambdaArn:LabelingJobSummary', labelingJobSummary_annotationConsolidationLambdaArn - The Amazon Resource Name (ARN) of the Lambda function used to consolidate the annotations from individual workers into a label for a data object. For more information, see Annotation Consolidation.

$sel:failureReason:LabelingJobSummary', labelingJobSummary_failureReason - If the LabelingJobStatus field is Failed, this field contains a description of the error.

$sel:inputConfig:LabelingJobSummary', labelingJobSummary_inputConfig - Input configuration for the labeling job.

$sel:labelingJobOutput:LabelingJobSummary', labelingJobSummary_labelingJobOutput - The location of the output produced by the labeling job.

$sel:labelingJobName:LabelingJobSummary', labelingJobSummary_labelingJobName - The name of the labeling job.

$sel:labelingJobArn:LabelingJobSummary', labelingJobSummary_labelingJobArn - The Amazon Resource Name (ARN) assigned to the labeling job when it was created.

$sel:creationTime:LabelingJobSummary', labelingJobSummary_creationTime - The date and time that the job was created (timestamp).

$sel:lastModifiedTime:LabelingJobSummary', labelingJobSummary_lastModifiedTime - The date and time that the job was last modified (timestamp).

$sel:labelingJobStatus:LabelingJobSummary', labelingJobSummary_labelingJobStatus - The current status of the labeling job.

$sel:labelCounters:LabelingJobSummary', labelingJobSummary_labelCounters - Counts showing the progress of the labeling job.

$sel:workteamArn:LabelingJobSummary', labelingJobSummary_workteamArn - The Amazon Resource Name (ARN) of the work team assigned to the job.

$sel:preHumanTaskLambdaArn:LabelingJobSummary', labelingJobSummary_preHumanTaskLambdaArn - The Amazon Resource Name (ARN) of a Lambda function. The function is run before each data object is sent to a worker.

labelingJobSummary_annotationConsolidationLambdaArn :: Lens' LabelingJobSummary (Maybe Text) Source #

The Amazon Resource Name (ARN) of the Lambda function used to consolidate the annotations from individual workers into a label for a data object. For more information, see Annotation Consolidation.

labelingJobSummary_failureReason :: Lens' LabelingJobSummary (Maybe Text) Source #

If the LabelingJobStatus field is Failed, this field contains a description of the error.

labelingJobSummary_inputConfig :: Lens' LabelingJobSummary (Maybe LabelingJobInputConfig) Source #

Input configuration for the labeling job.

labelingJobSummary_labelingJobOutput :: Lens' LabelingJobSummary (Maybe LabelingJobOutput) Source #

The location of the output produced by the labeling job.

labelingJobSummary_labelingJobName :: Lens' LabelingJobSummary Text Source #

The name of the labeling job.

labelingJobSummary_labelingJobArn :: Lens' LabelingJobSummary Text Source #

The Amazon Resource Name (ARN) assigned to the labeling job when it was created.

labelingJobSummary_creationTime :: Lens' LabelingJobSummary UTCTime Source #

The date and time that the job was created (timestamp).

labelingJobSummary_lastModifiedTime :: Lens' LabelingJobSummary UTCTime Source #

The date and time that the job was last modified (timestamp).

labelingJobSummary_labelingJobStatus :: Lens' LabelingJobSummary LabelingJobStatus Source #

The current status of the labeling job.

labelingJobSummary_labelCounters :: Lens' LabelingJobSummary LabelCounters Source #

Counts showing the progress of the labeling job.

labelingJobSummary_workteamArn :: Lens' LabelingJobSummary Text Source #

The Amazon Resource Name (ARN) of the work team assigned to the job.

labelingJobSummary_preHumanTaskLambdaArn :: Lens' LabelingJobSummary Text Source #

The Amazon Resource Name (ARN) of a Lambda function. The function is run before each data object is sent to a worker.

LambdaStepMetadata

data LambdaStepMetadata Source #

Metadata for a Lambda step.

See: newLambdaStepMetadata smart constructor.

Constructors

LambdaStepMetadata' 

Fields

Instances

Instances details
FromJSON LambdaStepMetadata Source # 
Instance details

Defined in Amazonka.SageMaker.Types.LambdaStepMetadata

Methods

parseJSON :: Value -> Parser LambdaStepMetadata #

parseJSONList :: Value -> Parser [LambdaStepMetadata] #

Generic LambdaStepMetadata Source # 
Instance details

Defined in Amazonka.SageMaker.Types.LambdaStepMetadata

Associated Types

type Rep LambdaStepMetadata :: Type -> Type #

Methods

from :: LambdaStepMetadata -> Rep LambdaStepMetadata x #

to :: Rep LambdaStepMetadata x -> LambdaStepMetadata #

Read LambdaStepMetadata Source # 
Instance details

Defined in Amazonka.SageMaker.Types.LambdaStepMetadata

Methods

readsPrec :: Int -> ReadS LambdaStepMetadata #

readList :: ReadS [LambdaStepMetadata] #

readPrec :: ReadPrec LambdaStepMetadata #

readListPrec :: ReadPrec [LambdaStepMetadata] #

Show LambdaStepMetadata Source # 
Instance details

Defined in Amazonka.SageMaker.Types.LambdaStepMetadata

Methods

showsPrec :: Int -> LambdaStepMetadata -> ShowS #

show :: LambdaStepMetadata -> String #

showList :: [LambdaStepMetadata] -> ShowS #

NFData LambdaStepMetadata Source # 
Instance details

Defined in Amazonka.SageMaker.Types.LambdaStepMetadata

Methods

rnf :: LambdaStepMetadata -> () #

Eq LambdaStepMetadata Source # 
Instance details

Defined in Amazonka.SageMaker.Types.LambdaStepMetadata

Methods

(==) :: LambdaStepMetadata -> LambdaStepMetadata -> Bool #

(/=) :: LambdaStepMetadata -> LambdaStepMetadata -> Bool #

Hashable LambdaStepMetadata Source # 
Instance details

Defined in Amazonka.SageMaker.Types.LambdaStepMetadata

Methods

hashWithSalt :: Int -> LambdaStepMetadata -> Int #

hash :: LambdaStepMetadata -> Int #

type Rep LambdaStepMetadata Source # 
Instance details

Defined in Amazonka.SageMaker.Types.LambdaStepMetadata

type Rep LambdaStepMetadata = D1 ('MetaData "LambdaStepMetadata" "Amazonka.SageMaker.Types.LambdaStepMetadata" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "LambdaStepMetadata'" 'PrefixI 'True) (S1 ('MetaSel ('Just "arn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "outputParameters") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [OutputParameter]))))

newLambdaStepMetadata :: LambdaStepMetadata Source #

Create a value of LambdaStepMetadata with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:arn:LambdaStepMetadata', lambdaStepMetadata_arn - The Amazon Resource Name (ARN) of the Lambda function that was run by this step execution.

$sel:outputParameters:LambdaStepMetadata', lambdaStepMetadata_outputParameters - A list of the output parameters of the Lambda step.

lambdaStepMetadata_arn :: Lens' LambdaStepMetadata (Maybe Text) Source #

The Amazon Resource Name (ARN) of the Lambda function that was run by this step execution.

lambdaStepMetadata_outputParameters :: Lens' LambdaStepMetadata (Maybe [OutputParameter]) Source #

A list of the output parameters of the Lambda step.

LastUpdateStatus

data LastUpdateStatus Source #

A value that indicates whether the update was successful.

See: newLastUpdateStatus smart constructor.

Constructors

LastUpdateStatus' 

Fields

Instances

Instances details
FromJSON LastUpdateStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.LastUpdateStatus

Methods

parseJSON :: Value -> Parser LastUpdateStatus #

parseJSONList :: Value -> Parser [LastUpdateStatus] #

Generic LastUpdateStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.LastUpdateStatus

Associated Types

type Rep LastUpdateStatus :: Type -> Type #

Methods

from :: LastUpdateStatus -> Rep LastUpdateStatus x #

to :: Rep LastUpdateStatus x -> LastUpdateStatus #

Read LastUpdateStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.LastUpdateStatus

Methods

readsPrec :: Int -> ReadS LastUpdateStatus #

readList :: ReadS [LastUpdateStatus] #

readPrec :: ReadPrec LastUpdateStatus #

readListPrec :: ReadPrec [LastUpdateStatus] #

Show LastUpdateStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.LastUpdateStatus

Methods

showsPrec :: Int -> LastUpdateStatus -> ShowS #

show :: LastUpdateStatus -> String #

showList :: [LastUpdateStatus] -> ShowS #

NFData LastUpdateStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.LastUpdateStatus

Methods

rnf :: LastUpdateStatus -> () #

Eq LastUpdateStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.LastUpdateStatus

Methods

(==) :: LastUpdateStatus -> LastUpdateStatus -> Bool #

(/=) :: LastUpdateStatus -> LastUpdateStatus -> Bool #

Hashable LastUpdateStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.LastUpdateStatus

Methods

hashWithSalt :: Int -> LastUpdateStatus -> Int #

hash :: LastUpdateStatus -> Int #

type Rep LastUpdateStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.LastUpdateStatus

type Rep LastUpdateStatus = D1 ('MetaData "LastUpdateStatus" "Amazonka.SageMaker.Types.LastUpdateStatus" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "LastUpdateStatus'" 'PrefixI 'True) (S1 ('MetaSel ('Just "failureReason") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "status") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 LastUpdateStatusValue)))

newLastUpdateStatus Source #

Arguments

:: LastUpdateStatusValue

$sel:status:LastUpdateStatus'

-> LastUpdateStatus 

Create a value of LastUpdateStatus with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:failureReason:LastUpdateStatus', lastUpdateStatus_failureReason - If the update wasn't successful, indicates the reason why it failed.

$sel:status:LastUpdateStatus', lastUpdateStatus_status - A value that indicates whether the update was made successful.

lastUpdateStatus_failureReason :: Lens' LastUpdateStatus (Maybe Text) Source #

If the update wasn't successful, indicates the reason why it failed.

lastUpdateStatus_status :: Lens' LastUpdateStatus LastUpdateStatusValue Source #

A value that indicates whether the update was made successful.

LineageGroupSummary

data LineageGroupSummary Source #

Lists a summary of the properties of a lineage group. A lineage group provides a group of shareable lineage entity resources.

See: newLineageGroupSummary smart constructor.

Constructors

LineageGroupSummary' 

Fields

Instances

Instances details
FromJSON LineageGroupSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.LineageGroupSummary

Methods

parseJSON :: Value -> Parser LineageGroupSummary #

parseJSONList :: Value -> Parser [LineageGroupSummary] #

Generic LineageGroupSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.LineageGroupSummary

Associated Types

type Rep LineageGroupSummary :: Type -> Type #

Methods

from :: LineageGroupSummary -> Rep LineageGroupSummary x #

to :: Rep LineageGroupSummary x -> LineageGroupSummary #

Read LineageGroupSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.LineageGroupSummary

Methods

readsPrec :: Int -> ReadS LineageGroupSummary #

readList :: ReadS [LineageGroupSummary] #

readPrec :: ReadPrec LineageGroupSummary #

readListPrec :: ReadPrec [LineageGroupSummary] #

Show LineageGroupSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.LineageGroupSummary

Methods

showsPrec :: Int -> LineageGroupSummary -> ShowS #

show :: LineageGroupSummary -> String #

showList :: [LineageGroupSummary] -> ShowS #

NFData LineageGroupSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.LineageGroupSummary

Methods

rnf :: LineageGroupSummary -> () #

Eq LineageGroupSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.LineageGroupSummary

Methods

(==) :: LineageGroupSummary -> LineageGroupSummary -> Bool #

(/=) :: LineageGroupSummary -> LineageGroupSummary -> Bool #

Hashable LineageGroupSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.LineageGroupSummary

Methods

hashWithSalt :: Int -> LineageGroupSummary -> Int #

hash :: LineageGroupSummary -> Int #

type Rep LineageGroupSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.LineageGroupSummary

type Rep LineageGroupSummary = D1 ('MetaData "LineageGroupSummary" "Amazonka.SageMaker.Types.LineageGroupSummary" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "LineageGroupSummary'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "creationTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :*: S1 ('MetaSel ('Just "displayName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))) :*: (S1 ('MetaSel ('Just "lastModifiedTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :*: (S1 ('MetaSel ('Just "lineageGroupArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "lineageGroupName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))))

newLineageGroupSummary :: LineageGroupSummary Source #

Create a value of LineageGroupSummary with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:creationTime:LineageGroupSummary', lineageGroupSummary_creationTime - The creation time of the lineage group summary.

$sel:displayName:LineageGroupSummary', lineageGroupSummary_displayName - The display name of the lineage group summary.

$sel:lastModifiedTime:LineageGroupSummary', lineageGroupSummary_lastModifiedTime - The last modified time of the lineage group summary.

$sel:lineageGroupArn:LineageGroupSummary', lineageGroupSummary_lineageGroupArn - The Amazon Resource Name (ARN) of the lineage group resource.

$sel:lineageGroupName:LineageGroupSummary', lineageGroupSummary_lineageGroupName - The name or Amazon Resource Name (ARN) of the lineage group.

lineageGroupSummary_creationTime :: Lens' LineageGroupSummary (Maybe UTCTime) Source #

The creation time of the lineage group summary.

lineageGroupSummary_displayName :: Lens' LineageGroupSummary (Maybe Text) Source #

The display name of the lineage group summary.

lineageGroupSummary_lastModifiedTime :: Lens' LineageGroupSummary (Maybe UTCTime) Source #

The last modified time of the lineage group summary.

lineageGroupSummary_lineageGroupArn :: Lens' LineageGroupSummary (Maybe Text) Source #

The Amazon Resource Name (ARN) of the lineage group resource.

lineageGroupSummary_lineageGroupName :: Lens' LineageGroupSummary (Maybe Text) Source #

The name or Amazon Resource Name (ARN) of the lineage group.

MemberDefinition

data MemberDefinition Source #

Defines an Amazon Cognito or your own OIDC IdP user group that is part of a work team.

See: newMemberDefinition smart constructor.

Constructors

MemberDefinition' 

Fields

  • cognitoMemberDefinition :: Maybe CognitoMemberDefinition

    The Amazon Cognito user group that is part of the work team.

  • oidcMemberDefinition :: Maybe OidcMemberDefinition

    A list user groups that exist in your OIDC Identity Provider (IdP). One to ten groups can be used to create a single private work team. When you add a user group to the list of Groups, you can add that user group to one or more private work teams. If you add a user group to a private work team, all workers in that user group are added to the work team.

Instances

Instances details
FromJSON MemberDefinition Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MemberDefinition

Methods

parseJSON :: Value -> Parser MemberDefinition #

parseJSONList :: Value -> Parser [MemberDefinition] #

ToJSON MemberDefinition Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MemberDefinition

Methods

toJSON :: MemberDefinition -> Value #

toEncoding :: MemberDefinition -> Encoding #

toJSONList :: [MemberDefinition] -> Value #

toEncodingList :: [MemberDefinition] -> Encoding #

Generic MemberDefinition Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MemberDefinition

Associated Types

type Rep MemberDefinition :: Type -> Type #

Methods

from :: MemberDefinition -> Rep MemberDefinition x #

to :: Rep MemberDefinition x -> MemberDefinition #

Read MemberDefinition Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MemberDefinition

Methods

readsPrec :: Int -> ReadS MemberDefinition #

readList :: ReadS [MemberDefinition] #

readPrec :: ReadPrec MemberDefinition #

readListPrec :: ReadPrec [MemberDefinition] #

Show MemberDefinition Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MemberDefinition

Methods

showsPrec :: Int -> MemberDefinition -> ShowS #

show :: MemberDefinition -> String #

showList :: [MemberDefinition] -> ShowS #

NFData MemberDefinition Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MemberDefinition

Methods

rnf :: MemberDefinition -> () #

Eq MemberDefinition Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MemberDefinition

Methods

(==) :: MemberDefinition -> MemberDefinition -> Bool #

(/=) :: MemberDefinition -> MemberDefinition -> Bool #

Hashable MemberDefinition Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MemberDefinition

Methods

hashWithSalt :: Int -> MemberDefinition -> Int #

hash :: MemberDefinition -> Int #

type Rep MemberDefinition Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MemberDefinition

type Rep MemberDefinition = D1 ('MetaData "MemberDefinition" "Amazonka.SageMaker.Types.MemberDefinition" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "MemberDefinition'" 'PrefixI 'True) (S1 ('MetaSel ('Just "cognitoMemberDefinition") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe CognitoMemberDefinition)) :*: S1 ('MetaSel ('Just "oidcMemberDefinition") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe OidcMemberDefinition))))

newMemberDefinition :: MemberDefinition Source #

Create a value of MemberDefinition with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:cognitoMemberDefinition:MemberDefinition', memberDefinition_cognitoMemberDefinition - The Amazon Cognito user group that is part of the work team.

$sel:oidcMemberDefinition:MemberDefinition', memberDefinition_oidcMemberDefinition - A list user groups that exist in your OIDC Identity Provider (IdP). One to ten groups can be used to create a single private work team. When you add a user group to the list of Groups, you can add that user group to one or more private work teams. If you add a user group to a private work team, all workers in that user group are added to the work team.

memberDefinition_cognitoMemberDefinition :: Lens' MemberDefinition (Maybe CognitoMemberDefinition) Source #

The Amazon Cognito user group that is part of the work team.

memberDefinition_oidcMemberDefinition :: Lens' MemberDefinition (Maybe OidcMemberDefinition) Source #

A list user groups that exist in your OIDC Identity Provider (IdP). One to ten groups can be used to create a single private work team. When you add a user group to the list of Groups, you can add that user group to one or more private work teams. If you add a user group to a private work team, all workers in that user group are added to the work team.

MetadataProperties

data MetadataProperties Source #

Metadata properties of the tracking entity, trial, or trial component.

See: newMetadataProperties smart constructor.

Constructors

MetadataProperties' 

Fields

Instances

Instances details
FromJSON MetadataProperties Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MetadataProperties

Methods

parseJSON :: Value -> Parser MetadataProperties #

parseJSONList :: Value -> Parser [MetadataProperties] #

ToJSON MetadataProperties Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MetadataProperties

Methods

toJSON :: MetadataProperties -> Value #

toEncoding :: MetadataProperties -> Encoding #

toJSONList :: [MetadataProperties] -> Value #

toEncodingList :: [MetadataProperties] -> Encoding #

Generic MetadataProperties Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MetadataProperties

Associated Types

type Rep MetadataProperties :: Type -> Type #

Methods

from :: MetadataProperties -> Rep MetadataProperties x #

to :: Rep MetadataProperties x -> MetadataProperties #

Read MetadataProperties Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MetadataProperties

Methods

readsPrec :: Int -> ReadS MetadataProperties #

readList :: ReadS [MetadataProperties] #

readPrec :: ReadPrec MetadataProperties #

readListPrec :: ReadPrec [MetadataProperties] #

Show MetadataProperties Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MetadataProperties

Methods

showsPrec :: Int -> MetadataProperties -> ShowS #

show :: MetadataProperties -> String #

showList :: [MetadataProperties] -> ShowS #

NFData MetadataProperties Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MetadataProperties

Methods

rnf :: MetadataProperties -> () #

Eq MetadataProperties Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MetadataProperties

Methods

(==) :: MetadataProperties -> MetadataProperties -> Bool #

(/=) :: MetadataProperties -> MetadataProperties -> Bool #

Hashable MetadataProperties Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MetadataProperties

Methods

hashWithSalt :: Int -> MetadataProperties -> Int #

hash :: MetadataProperties -> Int #

type Rep MetadataProperties Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MetadataProperties

type Rep MetadataProperties = D1 ('MetaData "MetadataProperties" "Amazonka.SageMaker.Types.MetadataProperties" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "MetadataProperties'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "commitId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "generatedBy") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))) :*: (S1 ('MetaSel ('Just "projectId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "repository") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))))

newMetadataProperties :: MetadataProperties Source #

Create a value of MetadataProperties with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:commitId:MetadataProperties', metadataProperties_commitId - The commit ID.

$sel:generatedBy:MetadataProperties', metadataProperties_generatedBy - The entity this entity was generated by.

$sel:projectId:MetadataProperties', metadataProperties_projectId - The project ID.

$sel:repository:MetadataProperties', metadataProperties_repository - The repository.

metadataProperties_commitId :: Lens' MetadataProperties (Maybe Text) Source #

The commit ID.

metadataProperties_generatedBy :: Lens' MetadataProperties (Maybe Text) Source #

The entity this entity was generated by.

metadataProperties_projectId :: Lens' MetadataProperties (Maybe Text) Source #

The project ID.

metadataProperties_repository :: Lens' MetadataProperties (Maybe Text) Source #

The repository.

MetricData

data MetricData Source #

The name, value, and date and time of a metric that was emitted to Amazon CloudWatch.

See: newMetricData smart constructor.

Constructors

MetricData' 

Fields

Instances

Instances details
FromJSON MetricData Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MetricData

Methods

parseJSON :: Value -> Parser MetricData #

parseJSONList :: Value -> Parser [MetricData] #

Generic MetricData Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MetricData

Associated Types

type Rep MetricData :: Type -> Type #

Methods

from :: MetricData -> Rep MetricData x #

to :: Rep MetricData x -> MetricData #

Read MetricData Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MetricData

Methods

readsPrec :: Int -> ReadS MetricData #

readList :: ReadS [MetricData] #

readPrec :: ReadPrec MetricData #

readListPrec :: ReadPrec [MetricData] #

Show MetricData Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MetricData

Methods

showsPrec :: Int -> MetricData -> ShowS #

show :: MetricData -> String #

showList :: [MetricData] -> ShowS #

NFData MetricData Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MetricData

Methods

rnf :: MetricData -> () #

Eq MetricData Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MetricData

Methods

(==) :: MetricData -> MetricData -> Bool #

(/=) :: MetricData -> MetricData -> Bool #

Hashable MetricData Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MetricData

Methods

hashWithSalt :: Int -> MetricData -> Int #

hash :: MetricData -> Int #

type Rep MetricData Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MetricData

type Rep MetricData = D1 ('MetaData "MetricData" "Amazonka.SageMaker.Types.MetricData" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "MetricData'" 'PrefixI 'True) (S1 ('MetaSel ('Just "metricName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: (S1 ('MetaSel ('Just "timestamp") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :*: S1 ('MetaSel ('Just "value") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double)))))

newMetricData :: MetricData Source #

Create a value of MetricData with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:metricName:MetricData', metricData_metricName - The name of the metric.

$sel:timestamp:MetricData', metricData_timestamp - The date and time that the algorithm emitted the metric.

$sel:value:MetricData', metricData_value - The value of the metric.

metricData_metricName :: Lens' MetricData (Maybe Text) Source #

The name of the metric.

metricData_timestamp :: Lens' MetricData (Maybe UTCTime) Source #

The date and time that the algorithm emitted the metric.

metricData_value :: Lens' MetricData (Maybe Double) Source #

The value of the metric.

MetricDatum

data MetricDatum Source #

Information about the metric for a candidate produced by an AutoML job.

See: newMetricDatum smart constructor.

Constructors

MetricDatum' 

Fields

Instances

Instances details
FromJSON MetricDatum Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MetricDatum

Methods

parseJSON :: Value -> Parser MetricDatum #

parseJSONList :: Value -> Parser [MetricDatum] #

Generic MetricDatum Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MetricDatum

Associated Types

type Rep MetricDatum :: Type -> Type #

Methods

from :: MetricDatum -> Rep MetricDatum x #

to :: Rep MetricDatum x -> MetricDatum #

Read MetricDatum Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MetricDatum

Methods

readsPrec :: Int -> ReadS MetricDatum #

readList :: ReadS [MetricDatum] #

readPrec :: ReadPrec MetricDatum #

readListPrec :: ReadPrec [MetricDatum] #

Show MetricDatum Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MetricDatum

Methods

showsPrec :: Int -> MetricDatum -> ShowS #

show :: MetricDatum -> String #

showList :: [MetricDatum] -> ShowS #

NFData MetricDatum Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MetricDatum

Methods

rnf :: MetricDatum -> () #

Eq MetricDatum Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MetricDatum

Methods

(==) :: MetricDatum -> MetricDatum -> Bool #

(/=) :: MetricDatum -> MetricDatum -> Bool #

Hashable MetricDatum Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MetricDatum

Methods

hashWithSalt :: Int -> MetricDatum -> Int #

hash :: MetricDatum -> Int #

type Rep MetricDatum Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MetricDatum

type Rep MetricDatum = D1 ('MetaData "MetricDatum" "Amazonka.SageMaker.Types.MetricDatum" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "MetricDatum'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "metricName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe AutoMLMetricEnum)) :*: S1 ('MetaSel ('Just "set") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe MetricSetSource))) :*: (S1 ('MetaSel ('Just "standardMetricName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe AutoMLMetricExtendedEnum)) :*: S1 ('MetaSel ('Just "value") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double)))))

newMetricDatum :: MetricDatum Source #

Create a value of MetricDatum with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:metricName:MetricDatum', metricDatum_metricName - The name of the metric.

$sel:set:MetricDatum', metricDatum_set - The dataset split from which the AutoML job produced the metric.

$sel:standardMetricName:MetricDatum', metricDatum_standardMetricName - The name of the standard metric.

For definitions of the standard metrics, see Autopilot candidate metrics .

$sel:value:MetricDatum', metricDatum_value - The value of the metric.

metricDatum_metricName :: Lens' MetricDatum (Maybe AutoMLMetricEnum) Source #

The name of the metric.

metricDatum_set :: Lens' MetricDatum (Maybe MetricSetSource) Source #

The dataset split from which the AutoML job produced the metric.

metricDatum_standardMetricName :: Lens' MetricDatum (Maybe AutoMLMetricExtendedEnum) Source #

The name of the standard metric.

For definitions of the standard metrics, see Autopilot candidate metrics .

metricDatum_value :: Lens' MetricDatum (Maybe Double) Source #

The value of the metric.

MetricDefinition

data MetricDefinition Source #

Specifies a metric that the training algorithm writes to stderr or stdout. SageMakerhyperparameter tuning captures all defined metrics. You specify one metric that a hyperparameter tuning job uses as its objective metric to choose the best training job.

See: newMetricDefinition smart constructor.

Constructors

MetricDefinition' 

Fields

  • name :: Text

    The name of the metric.

  • regex :: Text

    A regular expression that searches the output of a training job and gets the value of the metric. For more information about using regular expressions to define metrics, see Defining Objective Metrics.

Instances

Instances details
FromJSON MetricDefinition Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MetricDefinition

Methods

parseJSON :: Value -> Parser MetricDefinition #

parseJSONList :: Value -> Parser [MetricDefinition] #

ToJSON MetricDefinition Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MetricDefinition

Methods

toJSON :: MetricDefinition -> Value #

toEncoding :: MetricDefinition -> Encoding #

toJSONList :: [MetricDefinition] -> Value #

toEncodingList :: [MetricDefinition] -> Encoding #

Generic MetricDefinition Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MetricDefinition

Associated Types

type Rep MetricDefinition :: Type -> Type #

Methods

from :: MetricDefinition -> Rep MetricDefinition x #

to :: Rep MetricDefinition x -> MetricDefinition #

Read MetricDefinition Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MetricDefinition

Methods

readsPrec :: Int -> ReadS MetricDefinition #

readList :: ReadS [MetricDefinition] #

readPrec :: ReadPrec MetricDefinition #

readListPrec :: ReadPrec [MetricDefinition] #

Show MetricDefinition Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MetricDefinition

Methods

showsPrec :: Int -> MetricDefinition -> ShowS #

show :: MetricDefinition -> String #

showList :: [MetricDefinition] -> ShowS #

NFData MetricDefinition Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MetricDefinition

Methods

rnf :: MetricDefinition -> () #

Eq MetricDefinition Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MetricDefinition

Methods

(==) :: MetricDefinition -> MetricDefinition -> Bool #

(/=) :: MetricDefinition -> MetricDefinition -> Bool #

Hashable MetricDefinition Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MetricDefinition

Methods

hashWithSalt :: Int -> MetricDefinition -> Int #

hash :: MetricDefinition -> Int #

type Rep MetricDefinition Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MetricDefinition

type Rep MetricDefinition = D1 ('MetaData "MetricDefinition" "Amazonka.SageMaker.Types.MetricDefinition" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "MetricDefinition'" 'PrefixI 'True) (S1 ('MetaSel ('Just "name") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: S1 ('MetaSel ('Just "regex") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))

newMetricDefinition Source #

Arguments

:: Text

$sel:name:MetricDefinition'

-> Text

$sel:regex:MetricDefinition'

-> MetricDefinition 

Create a value of MetricDefinition with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:name:MetricDefinition', metricDefinition_name - The name of the metric.

$sel:regex:MetricDefinition', metricDefinition_regex - A regular expression that searches the output of a training job and gets the value of the metric. For more information about using regular expressions to define metrics, see Defining Objective Metrics.

metricDefinition_name :: Lens' MetricDefinition Text Source #

The name of the metric.

metricDefinition_regex :: Lens' MetricDefinition Text Source #

A regular expression that searches the output of a training job and gets the value of the metric. For more information about using regular expressions to define metrics, see Defining Objective Metrics.

MetricsSource

data MetricsSource Source #

Details about the metrics source.

See: newMetricsSource smart constructor.

Constructors

MetricsSource' 

Fields

Instances

Instances details
FromJSON MetricsSource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MetricsSource

Methods

parseJSON :: Value -> Parser MetricsSource #

parseJSONList :: Value -> Parser [MetricsSource] #

ToJSON MetricsSource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MetricsSource

Methods

toJSON :: MetricsSource -> Value #

toEncoding :: MetricsSource -> Encoding #

toJSONList :: [MetricsSource] -> Value #

toEncodingList :: [MetricsSource] -> Encoding #

Generic MetricsSource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MetricsSource

Associated Types

type Rep MetricsSource :: Type -> Type #

Methods

from :: MetricsSource -> Rep MetricsSource x #

to :: Rep MetricsSource x -> MetricsSource #

Read MetricsSource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MetricsSource

Methods

readsPrec :: Int -> ReadS MetricsSource #

readList :: ReadS [MetricsSource] #

readPrec :: ReadPrec MetricsSource #

readListPrec :: ReadPrec [MetricsSource] #

Show MetricsSource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MetricsSource

Methods

showsPrec :: Int -> MetricsSource -> ShowS #

show :: MetricsSource -> String #

showList :: [MetricsSource] -> ShowS #

NFData MetricsSource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MetricsSource

Methods

rnf :: MetricsSource -> () #

Eq MetricsSource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MetricsSource

Methods

(==) :: MetricsSource -> MetricsSource -> Bool #

(/=) :: MetricsSource -> MetricsSource -> Bool #

Hashable MetricsSource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MetricsSource

Methods

hashWithSalt :: Int -> MetricsSource -> Int #

hash :: MetricsSource -> Int #

type Rep MetricsSource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MetricsSource

type Rep MetricsSource = D1 ('MetaData "MetricsSource" "Amazonka.SageMaker.Types.MetricsSource" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "MetricsSource'" 'PrefixI 'True) (S1 ('MetaSel ('Just "contentDigest") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: (S1 ('MetaSel ('Just "contentType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: S1 ('MetaSel ('Just "s3Uri") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text))))

newMetricsSource Source #

Arguments

:: Text

$sel:contentType:MetricsSource'

-> Text

$sel:s3Uri:MetricsSource'

-> MetricsSource 

Create a value of MetricsSource with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:contentDigest:MetricsSource', metricsSource_contentDigest - The hash key used for the metrics source.

$sel:contentType:MetricsSource', metricsSource_contentType - The metric source content type.

$sel:s3Uri:MetricsSource', metricsSource_s3Uri - The S3 URI for the metrics source.

metricsSource_contentDigest :: Lens' MetricsSource (Maybe Text) Source #

The hash key used for the metrics source.

metricsSource_contentType :: Lens' MetricsSource Text Source #

The metric source content type.

metricsSource_s3Uri :: Lens' MetricsSource Text Source #

The S3 URI for the metrics source.

Model

data Model Source #

The properties of a model as returned by the Search API.

See: newModel smart constructor.

Constructors

Model' 

Fields

Instances

Instances details
FromJSON Model Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Model

Methods

parseJSON :: Value -> Parser Model #

parseJSONList :: Value -> Parser [Model] #

Generic Model Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Model

Associated Types

type Rep Model :: Type -> Type #

Methods

from :: Model -> Rep Model x #

to :: Rep Model x -> Model #

Read Model Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Model

Methods

readsPrec :: Int -> ReadS Model #

readList :: ReadS [Model] #

readPrec :: ReadPrec Model #

readListPrec :: ReadPrec [Model] #

Show Model Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Model

Methods

showsPrec :: Int -> Model -> ShowS #

show :: Model -> String #

showList :: [Model] -> ShowS #

NFData Model Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Model

Methods

rnf :: Model -> () #

Eq Model Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Model

Methods

(==) :: Model -> Model -> Bool #

(/=) :: Model -> Model -> Bool #

Hashable Model Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Model

Methods

hashWithSalt :: Int -> Model -> Int #

hash :: Model -> Int #

type Rep Model Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Model

type Rep Model = D1 ('MetaData "Model" "Amazonka.SageMaker.Types.Model" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "Model'" 'PrefixI 'True) (((S1 ('MetaSel ('Just "containers") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [ContainerDefinition])) :*: S1 ('MetaSel ('Just "creationTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX))) :*: (S1 ('MetaSel ('Just "enableNetworkIsolation") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Bool)) :*: (S1 ('MetaSel ('Just "executionRoleArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "inferenceExecutionConfig") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe InferenceExecutionConfig))))) :*: ((S1 ('MetaSel ('Just "modelArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "modelName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))) :*: (S1 ('MetaSel ('Just "primaryContainer") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ContainerDefinition)) :*: (S1 ('MetaSel ('Just "tags") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [Tag])) :*: S1 ('MetaSel ('Just "vpcConfig") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe VpcConfig)))))))

newModel :: Model Source #

Create a value of Model with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:containers:Model', model_containers - The containers in the inference pipeline.

$sel:creationTime:Model', model_creationTime - A timestamp that indicates when the model was created.

$sel:enableNetworkIsolation:Model', model_enableNetworkIsolation - Isolates the model container. No inbound or outbound network calls can be made to or from the model container.

$sel:executionRoleArn:Model', model_executionRoleArn - The Amazon Resource Name (ARN) of the IAM role that you specified for the model.

$sel:inferenceExecutionConfig:Model', model_inferenceExecutionConfig - Undocumented member.

$sel:modelArn:Model', model_modelArn - The Amazon Resource Name (ARN) of the model.

$sel:modelName:Model', model_modelName - The name of the model.

$sel:primaryContainer:Model', model_primaryContainer - Undocumented member.

$sel:tags:Model', model_tags - A list of key-value pairs associated with the model. For more information, see Tagging Amazon Web Services resources in the Amazon Web Services General Reference Guide.

$sel:vpcConfig:Model', model_vpcConfig - Undocumented member.

model_containers :: Lens' Model (Maybe [ContainerDefinition]) Source #

The containers in the inference pipeline.

model_creationTime :: Lens' Model (Maybe UTCTime) Source #

A timestamp that indicates when the model was created.

model_enableNetworkIsolation :: Lens' Model (Maybe Bool) Source #

Isolates the model container. No inbound or outbound network calls can be made to or from the model container.

model_executionRoleArn :: Lens' Model (Maybe Text) Source #

The Amazon Resource Name (ARN) of the IAM role that you specified for the model.

model_inferenceExecutionConfig :: Lens' Model (Maybe InferenceExecutionConfig) Source #

Undocumented member.

model_modelArn :: Lens' Model (Maybe Text) Source #

The Amazon Resource Name (ARN) of the model.

model_modelName :: Lens' Model (Maybe Text) Source #

The name of the model.

model_primaryContainer :: Lens' Model (Maybe ContainerDefinition) Source #

Undocumented member.

model_tags :: Lens' Model (Maybe [Tag]) Source #

A list of key-value pairs associated with the model. For more information, see Tagging Amazon Web Services resources in the Amazon Web Services General Reference Guide.

model_vpcConfig :: Lens' Model (Maybe VpcConfig) Source #

Undocumented member.

ModelArtifacts

data ModelArtifacts Source #

Provides information about the location that is configured for storing model artifacts.

Model artifacts are the output that results from training a model, and typically consist of trained parameters, a model definition that describes how to compute inferences, and other metadata.

See: newModelArtifacts smart constructor.

Constructors

ModelArtifacts' 

Fields

  • s3ModelArtifacts :: Text

    The path of the S3 object that contains the model artifacts. For example, s3://bucket-name/keynameprefix/model.tar.gz.

Instances

Instances details
FromJSON ModelArtifacts Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelArtifacts

Methods

parseJSON :: Value -> Parser ModelArtifacts #

parseJSONList :: Value -> Parser [ModelArtifacts] #

Generic ModelArtifacts Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelArtifacts

Associated Types

type Rep ModelArtifacts :: Type -> Type #

Methods

from :: ModelArtifacts -> Rep ModelArtifacts x #

to :: Rep ModelArtifacts x -> ModelArtifacts #

Read ModelArtifacts Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelArtifacts

Methods

readsPrec :: Int -> ReadS ModelArtifacts #

readList :: ReadS [ModelArtifacts] #

readPrec :: ReadPrec ModelArtifacts #

readListPrec :: ReadPrec [ModelArtifacts] #

Show ModelArtifacts Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelArtifacts

Methods

showsPrec :: Int -> ModelArtifacts -> ShowS #

show :: ModelArtifacts -> String #

showList :: [ModelArtifacts] -> ShowS #

NFData ModelArtifacts Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelArtifacts

Methods

rnf :: ModelArtifacts -> () #

Eq ModelArtifacts Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelArtifacts

Methods

(==) :: ModelArtifacts -> ModelArtifacts -> Bool #

(/=) :: ModelArtifacts -> ModelArtifacts -> Bool #

Hashable ModelArtifacts Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelArtifacts

Methods

hashWithSalt :: Int -> ModelArtifacts -> Int #

hash :: ModelArtifacts -> Int #

type Rep ModelArtifacts Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelArtifacts

type Rep ModelArtifacts = D1 ('MetaData "ModelArtifacts" "Amazonka.SageMaker.Types.ModelArtifacts" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "ModelArtifacts'" 'PrefixI 'True) (S1 ('MetaSel ('Just "s3ModelArtifacts") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))

newModelArtifacts Source #

Arguments

:: Text

$sel:s3ModelArtifacts:ModelArtifacts'

-> ModelArtifacts 

Create a value of ModelArtifacts with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:s3ModelArtifacts:ModelArtifacts', modelArtifacts_s3ModelArtifacts - The path of the S3 object that contains the model artifacts. For example, s3://bucket-name/keynameprefix/model.tar.gz.

modelArtifacts_s3ModelArtifacts :: Lens' ModelArtifacts Text Source #

The path of the S3 object that contains the model artifacts. For example, s3://bucket-name/keynameprefix/model.tar.gz.

ModelBiasAppSpecification

data ModelBiasAppSpecification Source #

Docker container image configuration object for the model bias job.

See: newModelBiasAppSpecification smart constructor.

Constructors

ModelBiasAppSpecification' 

Fields

Instances

Instances details
FromJSON ModelBiasAppSpecification Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelBiasAppSpecification

Methods

parseJSON :: Value -> Parser ModelBiasAppSpecification #

parseJSONList :: Value -> Parser [ModelBiasAppSpecification] #

ToJSON ModelBiasAppSpecification Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelBiasAppSpecification

Methods

toJSON :: ModelBiasAppSpecification -> Value #

toEncoding :: ModelBiasAppSpecification -> Encoding #

toJSONList :: [ModelBiasAppSpecification] -> Value #

toEncodingList :: [ModelBiasAppSpecification] -> Encoding #

Generic ModelBiasAppSpecification Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelBiasAppSpecification

Associated Types

type Rep ModelBiasAppSpecification :: Type -> Type #

Methods

from :: ModelBiasAppSpecification -> Rep ModelBiasAppSpecification x #

to :: Rep ModelBiasAppSpecification x -> ModelBiasAppSpecification #

Read ModelBiasAppSpecification Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelBiasAppSpecification

Methods

readsPrec :: Int -> ReadS ModelBiasAppSpecification #

readList :: ReadS [ModelBiasAppSpecification] #

readPrec :: ReadPrec ModelBiasAppSpecification #

readListPrec :: ReadPrec [ModelBiasAppSpecification] #

Show ModelBiasAppSpecification Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelBiasAppSpecification

Methods

showsPrec :: Int -> ModelBiasAppSpecification -> ShowS #

show :: ModelBiasAppSpecification -> String #

showList :: [ModelBiasAppSpecification] -> ShowS #

NFData ModelBiasAppSpecification Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelBiasAppSpecification

Methods

rnf :: ModelBiasAppSpecification -> () #

Eq ModelBiasAppSpecification Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelBiasAppSpecification

Methods

(==) :: ModelBiasAppSpecification -> ModelBiasAppSpecification -> Bool #

(/=) :: ModelBiasAppSpecification -> ModelBiasAppSpecification -> Bool #

Hashable ModelBiasAppSpecification Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelBiasAppSpecification

Methods

hashWithSalt :: Int -> ModelBiasAppSpecification -> Int #

hash :: ModelBiasAppSpecification -> Int #

type Rep ModelBiasAppSpecification Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelBiasAppSpecification

type Rep ModelBiasAppSpecification = D1 ('MetaData "ModelBiasAppSpecification" "Amazonka.SageMaker.Types.ModelBiasAppSpecification" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "ModelBiasAppSpecification'" 'PrefixI 'True) (S1 ('MetaSel ('Just "environment") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe (HashMap Text Text))) :*: (S1 ('MetaSel ('Just "imageUri") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: S1 ('MetaSel ('Just "configUri") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text))))

newModelBiasAppSpecification Source #

Arguments

:: Text

$sel:imageUri:ModelBiasAppSpecification'

-> Text

$sel:configUri:ModelBiasAppSpecification'

-> ModelBiasAppSpecification 

Create a value of ModelBiasAppSpecification with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:environment:ModelBiasAppSpecification', modelBiasAppSpecification_environment - Sets the environment variables in the Docker container.

$sel:imageUri:ModelBiasAppSpecification', modelBiasAppSpecification_imageUri - The container image to be run by the model bias job.

$sel:configUri:ModelBiasAppSpecification', modelBiasAppSpecification_configUri - JSON formatted S3 file that defines bias parameters. For more information on this JSON configuration file, see Configure bias parameters.

modelBiasAppSpecification_environment :: Lens' ModelBiasAppSpecification (Maybe (HashMap Text Text)) Source #

Sets the environment variables in the Docker container.

modelBiasAppSpecification_imageUri :: Lens' ModelBiasAppSpecification Text Source #

The container image to be run by the model bias job.

modelBiasAppSpecification_configUri :: Lens' ModelBiasAppSpecification Text Source #

JSON formatted S3 file that defines bias parameters. For more information on this JSON configuration file, see Configure bias parameters.

ModelBiasBaselineConfig

data ModelBiasBaselineConfig Source #

The configuration for a baseline model bias job.

See: newModelBiasBaselineConfig smart constructor.

Constructors

ModelBiasBaselineConfig' 

Fields

Instances

Instances details
FromJSON ModelBiasBaselineConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelBiasBaselineConfig

Methods

parseJSON :: Value -> Parser ModelBiasBaselineConfig #

parseJSONList :: Value -> Parser [ModelBiasBaselineConfig] #

ToJSON ModelBiasBaselineConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelBiasBaselineConfig

Methods

toJSON :: ModelBiasBaselineConfig -> Value #

toEncoding :: ModelBiasBaselineConfig -> Encoding #

toJSONList :: [ModelBiasBaselineConfig] -> Value #

toEncodingList :: [ModelBiasBaselineConfig] -> Encoding #

Generic ModelBiasBaselineConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelBiasBaselineConfig

Associated Types

type Rep ModelBiasBaselineConfig :: Type -> Type #

Methods

from :: ModelBiasBaselineConfig -> Rep ModelBiasBaselineConfig x #

to :: Rep ModelBiasBaselineConfig x -> ModelBiasBaselineConfig #

Read ModelBiasBaselineConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelBiasBaselineConfig

Methods

readsPrec :: Int -> ReadS ModelBiasBaselineConfig #

readList :: ReadS [ModelBiasBaselineConfig] #

readPrec :: ReadPrec ModelBiasBaselineConfig #

readListPrec :: ReadPrec [ModelBiasBaselineConfig] #

Show ModelBiasBaselineConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelBiasBaselineConfig

Methods

showsPrec :: Int -> ModelBiasBaselineConfig -> ShowS #

show :: ModelBiasBaselineConfig -> String #

showList :: [ModelBiasBaselineConfig] -> ShowS #

NFData ModelBiasBaselineConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelBiasBaselineConfig

Methods

rnf :: ModelBiasBaselineConfig -> () #

Eq ModelBiasBaselineConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelBiasBaselineConfig

Methods

(==) :: ModelBiasBaselineConfig -> ModelBiasBaselineConfig -> Bool #

(/=) :: ModelBiasBaselineConfig -> ModelBiasBaselineConfig -> Bool #

Hashable ModelBiasBaselineConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelBiasBaselineConfig

Methods

hashWithSalt :: Int -> ModelBiasBaselineConfig -> Int #

hash :: ModelBiasBaselineConfig -> Int #

type Rep ModelBiasBaselineConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelBiasBaselineConfig

type Rep ModelBiasBaselineConfig = D1 ('MetaData "ModelBiasBaselineConfig" "Amazonka.SageMaker.Types.ModelBiasBaselineConfig" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "ModelBiasBaselineConfig'" 'PrefixI 'True) (S1 ('MetaSel ('Just "baseliningJobName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "constraintsResource") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe MonitoringConstraintsResource))))

newModelBiasBaselineConfig :: ModelBiasBaselineConfig Source #

Create a value of ModelBiasBaselineConfig with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:baseliningJobName:ModelBiasBaselineConfig', modelBiasBaselineConfig_baseliningJobName - The name of the baseline model bias job.

$sel:constraintsResource:ModelBiasBaselineConfig', modelBiasBaselineConfig_constraintsResource - Undocumented member.

modelBiasBaselineConfig_baseliningJobName :: Lens' ModelBiasBaselineConfig (Maybe Text) Source #

The name of the baseline model bias job.

modelBiasBaselineConfig_constraintsResource :: Lens' ModelBiasBaselineConfig (Maybe MonitoringConstraintsResource) Source #

Undocumented member.

ModelBiasJobInput

data ModelBiasJobInput Source #

Inputs for the model bias job.

See: newModelBiasJobInput smart constructor.

Constructors

ModelBiasJobInput' 

Fields

Instances

Instances details
FromJSON ModelBiasJobInput Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelBiasJobInput

Methods

parseJSON :: Value -> Parser ModelBiasJobInput #

parseJSONList :: Value -> Parser [ModelBiasJobInput] #

ToJSON ModelBiasJobInput Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelBiasJobInput

Methods

toJSON :: ModelBiasJobInput -> Value #

toEncoding :: ModelBiasJobInput -> Encoding #

toJSONList :: [ModelBiasJobInput] -> Value #

toEncodingList :: [ModelBiasJobInput] -> Encoding #

Generic ModelBiasJobInput Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelBiasJobInput

Associated Types

type Rep ModelBiasJobInput :: Type -> Type #

Methods

from :: ModelBiasJobInput -> Rep ModelBiasJobInput x #

to :: Rep ModelBiasJobInput x -> ModelBiasJobInput #

Read ModelBiasJobInput Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelBiasJobInput

Methods

readsPrec :: Int -> ReadS ModelBiasJobInput #

readList :: ReadS [ModelBiasJobInput] #

readPrec :: ReadPrec ModelBiasJobInput #

readListPrec :: ReadPrec [ModelBiasJobInput] #

Show ModelBiasJobInput Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelBiasJobInput

Methods

showsPrec :: Int -> ModelBiasJobInput -> ShowS #

show :: ModelBiasJobInput -> String #

showList :: [ModelBiasJobInput] -> ShowS #

NFData ModelBiasJobInput Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelBiasJobInput

Methods

rnf :: ModelBiasJobInput -> () #

Eq ModelBiasJobInput Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelBiasJobInput

Methods

(==) :: ModelBiasJobInput -> ModelBiasJobInput -> Bool #

(/=) :: ModelBiasJobInput -> ModelBiasJobInput -> Bool #

Hashable ModelBiasJobInput Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelBiasJobInput

Methods

hashWithSalt :: Int -> ModelBiasJobInput -> Int #

hash :: ModelBiasJobInput -> Int #

type Rep ModelBiasJobInput Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelBiasJobInput

type Rep ModelBiasJobInput = D1 ('MetaData "ModelBiasJobInput" "Amazonka.SageMaker.Types.ModelBiasJobInput" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "ModelBiasJobInput'" 'PrefixI 'True) (S1 ('MetaSel ('Just "batchTransformInput") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe BatchTransformInput)) :*: (S1 ('MetaSel ('Just "endpointInput") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe EndpointInput)) :*: S1 ('MetaSel ('Just "groundTruthS3Input") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 MonitoringGroundTruthS3Input))))

newModelBiasJobInput Source #

Arguments

:: MonitoringGroundTruthS3Input

$sel:groundTruthS3Input:ModelBiasJobInput'

-> ModelBiasJobInput 

Create a value of ModelBiasJobInput with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:batchTransformInput:ModelBiasJobInput', modelBiasJobInput_batchTransformInput - Input object for the batch transform job.

$sel:endpointInput:ModelBiasJobInput', modelBiasJobInput_endpointInput - Undocumented member.

$sel:groundTruthS3Input:ModelBiasJobInput', modelBiasJobInput_groundTruthS3Input - Location of ground truth labels to use in model bias job.

modelBiasJobInput_batchTransformInput :: Lens' ModelBiasJobInput (Maybe BatchTransformInput) Source #

Input object for the batch transform job.

modelBiasJobInput_endpointInput :: Lens' ModelBiasJobInput (Maybe EndpointInput) Source #

Undocumented member.

modelBiasJobInput_groundTruthS3Input :: Lens' ModelBiasJobInput MonitoringGroundTruthS3Input Source #

Location of ground truth labels to use in model bias job.

ModelCard

data ModelCard Source #

An Amazon SageMaker Model Card.

See: newModelCard smart constructor.

Constructors

ModelCard' 

Fields

Instances

Instances details
FromJSON ModelCard Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCard

Methods

parseJSON :: Value -> Parser ModelCard #

parseJSONList :: Value -> Parser [ModelCard] #

Generic ModelCard Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCard

Associated Types

type Rep ModelCard :: Type -> Type #

Methods

from :: ModelCard -> Rep ModelCard x #

to :: Rep ModelCard x -> ModelCard #

Show ModelCard Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCard

Methods

showsPrec :: Int -> ModelCard -> ShowS #

show :: ModelCard -> String #

showList :: [ModelCard] -> ShowS #

NFData ModelCard Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCard

Methods

rnf :: ModelCard -> () #

Eq ModelCard Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCard

Methods

(==) :: ModelCard -> ModelCard -> Bool #

(/=) :: ModelCard -> ModelCard -> Bool #

Hashable ModelCard Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCard

Methods

hashWithSalt :: Int -> ModelCard -> Int #

hash :: ModelCard -> Int #

type Rep ModelCard Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCard

type Rep ModelCard = D1 ('MetaData "ModelCard" "Amazonka.SageMaker.Types.ModelCard" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "ModelCard'" 'PrefixI 'True) (((S1 ('MetaSel ('Just "content") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe (Sensitive Text))) :*: (S1 ('MetaSel ('Just "createdBy") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe UserContext)) :*: S1 ('MetaSel ('Just "creationTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)))) :*: (S1 ('MetaSel ('Just "lastModifiedBy") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe UserContext)) :*: (S1 ('MetaSel ('Just "lastModifiedTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :*: S1 ('MetaSel ('Just "modelCardArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))) :*: ((S1 ('MetaSel ('Just "modelCardName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: (S1 ('MetaSel ('Just "modelCardStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ModelCardStatus)) :*: S1 ('MetaSel ('Just "modelCardVersion") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Int)))) :*: ((S1 ('MetaSel ('Just "modelId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "riskRating") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))) :*: (S1 ('MetaSel ('Just "securityConfig") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ModelCardSecurityConfig)) :*: S1 ('MetaSel ('Just "tags") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [Tag])))))))

newModelCard :: ModelCard Source #

Create a value of ModelCard with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:content:ModelCard', modelCard_content - The content of the model card. Content uses the model card JSON schema and provided as a string.

$sel:createdBy:ModelCard', modelCard_createdBy - Undocumented member.

$sel:creationTime:ModelCard', modelCard_creationTime - The date and time that the model card was created.

$sel:lastModifiedBy:ModelCard', modelCard_lastModifiedBy - Undocumented member.

$sel:lastModifiedTime:ModelCard', modelCard_lastModifiedTime - The date and time that the model card was last modified.

$sel:modelCardArn:ModelCard', modelCard_modelCardArn - The Amazon Resource Name (ARN) of the model card.

$sel:modelCardName:ModelCard', modelCard_modelCardName - The unique name of the model card.

$sel:modelCardStatus:ModelCard', modelCard_modelCardStatus - The approval status of the model card within your organization. Different organizations might have different criteria for model card review and approval.

  • Draft: The model card is a work in progress.
  • PendingReview: The model card is pending review.
  • Approved: The model card is approved.
  • Archived: The model card is archived. No more updates should be made to the model card, but it can still be exported.

$sel:modelCardVersion:ModelCard', modelCard_modelCardVersion - The version of the model card.

$sel:modelId:ModelCard', modelCard_modelId - The unique name (ID) of the model.

$sel:riskRating:ModelCard', modelCard_riskRating - The risk rating of the model. Different organizations might have different criteria for model card risk ratings. For more information, see Risk ratings.

$sel:securityConfig:ModelCard', modelCard_securityConfig - The security configuration used to protect model card data.

$sel:tags:ModelCard', modelCard_tags - Key-value pairs used to manage metadata for the model card.

modelCard_content :: Lens' ModelCard (Maybe Text) Source #

The content of the model card. Content uses the model card JSON schema and provided as a string.

modelCard_createdBy :: Lens' ModelCard (Maybe UserContext) Source #

Undocumented member.

modelCard_creationTime :: Lens' ModelCard (Maybe UTCTime) Source #

The date and time that the model card was created.

modelCard_lastModifiedBy :: Lens' ModelCard (Maybe UserContext) Source #

Undocumented member.

modelCard_lastModifiedTime :: Lens' ModelCard (Maybe UTCTime) Source #

The date and time that the model card was last modified.

modelCard_modelCardArn :: Lens' ModelCard (Maybe Text) Source #

The Amazon Resource Name (ARN) of the model card.

modelCard_modelCardName :: Lens' ModelCard (Maybe Text) Source #

The unique name of the model card.

modelCard_modelCardStatus :: Lens' ModelCard (Maybe ModelCardStatus) Source #

The approval status of the model card within your organization. Different organizations might have different criteria for model card review and approval.

  • Draft: The model card is a work in progress.
  • PendingReview: The model card is pending review.
  • Approved: The model card is approved.
  • Archived: The model card is archived. No more updates should be made to the model card, but it can still be exported.

modelCard_modelCardVersion :: Lens' ModelCard (Maybe Int) Source #

The version of the model card.

modelCard_modelId :: Lens' ModelCard (Maybe Text) Source #

The unique name (ID) of the model.

modelCard_riskRating :: Lens' ModelCard (Maybe Text) Source #

The risk rating of the model. Different organizations might have different criteria for model card risk ratings. For more information, see Risk ratings.

modelCard_securityConfig :: Lens' ModelCard (Maybe ModelCardSecurityConfig) Source #

The security configuration used to protect model card data.

modelCard_tags :: Lens' ModelCard (Maybe [Tag]) Source #

Key-value pairs used to manage metadata for the model card.

ModelCardExportArtifacts

data ModelCardExportArtifacts Source #

The artifacts of the model card export job.

See: newModelCardExportArtifacts smart constructor.

Constructors

ModelCardExportArtifacts' 

Fields

Instances

Instances details
FromJSON ModelCardExportArtifacts Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCardExportArtifacts

Methods

parseJSON :: Value -> Parser ModelCardExportArtifacts #

parseJSONList :: Value -> Parser [ModelCardExportArtifacts] #

Generic ModelCardExportArtifacts Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCardExportArtifacts

Associated Types

type Rep ModelCardExportArtifacts :: Type -> Type #

Methods

from :: ModelCardExportArtifacts -> Rep ModelCardExportArtifacts x #

to :: Rep ModelCardExportArtifacts x -> ModelCardExportArtifacts #

Read ModelCardExportArtifacts Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCardExportArtifacts

Methods

readsPrec :: Int -> ReadS ModelCardExportArtifacts #

readList :: ReadS [ModelCardExportArtifacts] #

readPrec :: ReadPrec ModelCardExportArtifacts #

readListPrec :: ReadPrec [ModelCardExportArtifacts] #

Show ModelCardExportArtifacts Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCardExportArtifacts

Methods

showsPrec :: Int -> ModelCardExportArtifacts -> ShowS #

show :: ModelCardExportArtifacts -> String #

showList :: [ModelCardExportArtifacts] -> ShowS #

NFData ModelCardExportArtifacts Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCardExportArtifacts

Methods

rnf :: ModelCardExportArtifacts -> () #

Eq ModelCardExportArtifacts Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCardExportArtifacts

Methods

(==) :: ModelCardExportArtifacts -> ModelCardExportArtifacts -> Bool #

(/=) :: ModelCardExportArtifacts -> ModelCardExportArtifacts -> Bool #

Hashable ModelCardExportArtifacts Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCardExportArtifacts

Methods

hashWithSalt :: Int -> ModelCardExportArtifacts -> Int #

hash :: ModelCardExportArtifacts -> Int #

type Rep ModelCardExportArtifacts Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCardExportArtifacts

type Rep ModelCardExportArtifacts = D1 ('MetaData "ModelCardExportArtifacts" "Amazonka.SageMaker.Types.ModelCardExportArtifacts" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "ModelCardExportArtifacts'" 'PrefixI 'True) (S1 ('MetaSel ('Just "s3ExportArtifacts") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))

newModelCardExportArtifacts Source #

Arguments

:: Text

$sel:s3ExportArtifacts:ModelCardExportArtifacts'

-> ModelCardExportArtifacts 

Create a value of ModelCardExportArtifacts with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:s3ExportArtifacts:ModelCardExportArtifacts', modelCardExportArtifacts_s3ExportArtifacts - The Amazon S3 URI of the exported model artifacts.

modelCardExportArtifacts_s3ExportArtifacts :: Lens' ModelCardExportArtifacts Text Source #

The Amazon S3 URI of the exported model artifacts.

ModelCardExportJobSummary

data ModelCardExportJobSummary Source #

The summary of the Amazon SageMaker Model Card export job.

See: newModelCardExportJobSummary smart constructor.

Constructors

ModelCardExportJobSummary' 

Fields

Instances

Instances details
FromJSON ModelCardExportJobSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCardExportJobSummary

Methods

parseJSON :: Value -> Parser ModelCardExportJobSummary #

parseJSONList :: Value -> Parser [ModelCardExportJobSummary] #

Generic ModelCardExportJobSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCardExportJobSummary

Associated Types

type Rep ModelCardExportJobSummary :: Type -> Type #

Methods

from :: ModelCardExportJobSummary -> Rep ModelCardExportJobSummary x #

to :: Rep ModelCardExportJobSummary x -> ModelCardExportJobSummary #

Read ModelCardExportJobSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCardExportJobSummary

Methods

readsPrec :: Int -> ReadS ModelCardExportJobSummary #

readList :: ReadS [ModelCardExportJobSummary] #

readPrec :: ReadPrec ModelCardExportJobSummary #

readListPrec :: ReadPrec [ModelCardExportJobSummary] #

Show ModelCardExportJobSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCardExportJobSummary

Methods

showsPrec :: Int -> ModelCardExportJobSummary -> ShowS #

show :: ModelCardExportJobSummary -> String #

showList :: [ModelCardExportJobSummary] -> ShowS #

NFData ModelCardExportJobSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCardExportJobSummary

Methods

rnf :: ModelCardExportJobSummary -> () #

Eq ModelCardExportJobSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCardExportJobSummary

Methods

(==) :: ModelCardExportJobSummary -> ModelCardExportJobSummary -> Bool #

(/=) :: ModelCardExportJobSummary -> ModelCardExportJobSummary -> Bool #

Hashable ModelCardExportJobSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCardExportJobSummary

Methods

hashWithSalt :: Int -> ModelCardExportJobSummary -> Int #

hash :: ModelCardExportJobSummary -> Int #

type Rep ModelCardExportJobSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCardExportJobSummary

type Rep ModelCardExportJobSummary = D1 ('MetaData "ModelCardExportJobSummary" "Amazonka.SageMaker.Types.ModelCardExportJobSummary" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "ModelCardExportJobSummary'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "modelCardExportJobName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: (S1 ('MetaSel ('Just "modelCardExportJobArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: S1 ('MetaSel ('Just "status") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 ModelCardExportJobStatus))) :*: ((S1 ('MetaSel ('Just "modelCardName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: S1 ('MetaSel ('Just "modelCardVersion") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Int)) :*: (S1 ('MetaSel ('Just "createdAt") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 POSIX) :*: S1 ('MetaSel ('Just "lastModifiedAt") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 POSIX)))))

newModelCardExportJobSummary Source #

Arguments

:: Text

$sel:modelCardExportJobName:ModelCardExportJobSummary'

-> Text

$sel:modelCardExportJobArn:ModelCardExportJobSummary'

-> ModelCardExportJobStatus

$sel:status:ModelCardExportJobSummary'

-> Text

$sel:modelCardName:ModelCardExportJobSummary'

-> Int

$sel:modelCardVersion:ModelCardExportJobSummary'

-> UTCTime

$sel:createdAt:ModelCardExportJobSummary'

-> UTCTime

$sel:lastModifiedAt:ModelCardExportJobSummary'

-> ModelCardExportJobSummary 

Create a value of ModelCardExportJobSummary with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:modelCardExportJobName:ModelCardExportJobSummary', modelCardExportJobSummary_modelCardExportJobName - The name of the model card export job.

$sel:modelCardExportJobArn:ModelCardExportJobSummary', modelCardExportJobSummary_modelCardExportJobArn - The Amazon Resource Name (ARN) of the model card export job.

$sel:status:ModelCardExportJobSummary', modelCardExportJobSummary_status - The completion status of the model card export job.

$sel:modelCardName:ModelCardExportJobSummary', modelCardExportJobSummary_modelCardName - The name of the model card that the export job exports.

$sel:modelCardVersion:ModelCardExportJobSummary', modelCardExportJobSummary_modelCardVersion - The version of the model card that the export job exports.

$sel:createdAt:ModelCardExportJobSummary', modelCardExportJobSummary_createdAt - The date and time that the model card export job was created.

$sel:lastModifiedAt:ModelCardExportJobSummary', modelCardExportJobSummary_lastModifiedAt - The date and time that the model card export job was last modified..

modelCardExportJobSummary_modelCardExportJobName :: Lens' ModelCardExportJobSummary Text Source #

The name of the model card export job.

modelCardExportJobSummary_modelCardExportJobArn :: Lens' ModelCardExportJobSummary Text Source #

The Amazon Resource Name (ARN) of the model card export job.

modelCardExportJobSummary_status :: Lens' ModelCardExportJobSummary ModelCardExportJobStatus Source #

The completion status of the model card export job.

modelCardExportJobSummary_modelCardName :: Lens' ModelCardExportJobSummary Text Source #

The name of the model card that the export job exports.

modelCardExportJobSummary_modelCardVersion :: Lens' ModelCardExportJobSummary Int Source #

The version of the model card that the export job exports.

modelCardExportJobSummary_createdAt :: Lens' ModelCardExportJobSummary UTCTime Source #

The date and time that the model card export job was created.

modelCardExportJobSummary_lastModifiedAt :: Lens' ModelCardExportJobSummary UTCTime Source #

The date and time that the model card export job was last modified..

ModelCardExportOutputConfig

data ModelCardExportOutputConfig Source #

Configure the export output details for an Amazon SageMaker Model Card.

See: newModelCardExportOutputConfig smart constructor.

Constructors

ModelCardExportOutputConfig' 

Fields

Instances

Instances details
FromJSON ModelCardExportOutputConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCardExportOutputConfig

Methods

parseJSON :: Value -> Parser ModelCardExportOutputConfig #

parseJSONList :: Value -> Parser [ModelCardExportOutputConfig] #

ToJSON ModelCardExportOutputConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCardExportOutputConfig

Methods

toJSON :: ModelCardExportOutputConfig -> Value #

toEncoding :: ModelCardExportOutputConfig -> Encoding #

toJSONList :: [ModelCardExportOutputConfig] -> Value #

toEncodingList :: [ModelCardExportOutputConfig] -> Encoding #

Generic ModelCardExportOutputConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCardExportOutputConfig

Associated Types

type Rep ModelCardExportOutputConfig :: Type -> Type #

Methods

from :: ModelCardExportOutputConfig -> Rep ModelCardExportOutputConfig x #

to :: Rep ModelCardExportOutputConfig x -> ModelCardExportOutputConfig #

Read ModelCardExportOutputConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCardExportOutputConfig

Methods

readsPrec :: Int -> ReadS ModelCardExportOutputConfig #

readList :: ReadS [ModelCardExportOutputConfig] #

readPrec :: ReadPrec ModelCardExportOutputConfig #

readListPrec :: ReadPrec [ModelCardExportOutputConfig] #

Show ModelCardExportOutputConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCardExportOutputConfig

Methods

showsPrec :: Int -> ModelCardExportOutputConfig -> ShowS #

show :: ModelCardExportOutputConfig -> String #

showList :: [ModelCardExportOutputConfig] -> ShowS #

NFData ModelCardExportOutputConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCardExportOutputConfig

Methods

rnf :: ModelCardExportOutputConfig -> () #

Eq ModelCardExportOutputConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCardExportOutputConfig

Methods

(==) :: ModelCardExportOutputConfig -> ModelCardExportOutputConfig -> Bool #

(/=) :: ModelCardExportOutputConfig -> ModelCardExportOutputConfig -> Bool #

Hashable ModelCardExportOutputConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCardExportOutputConfig

Methods

hashWithSalt :: Int -> ModelCardExportOutputConfig -> Int #

hash :: ModelCardExportOutputConfig -> Int #

type Rep ModelCardExportOutputConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCardExportOutputConfig

type Rep ModelCardExportOutputConfig = D1 ('MetaData "ModelCardExportOutputConfig" "Amazonka.SageMaker.Types.ModelCardExportOutputConfig" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "ModelCardExportOutputConfig'" 'PrefixI 'True) (S1 ('MetaSel ('Just "s3OutputPath") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))

newModelCardExportOutputConfig Source #

Arguments

:: Text

$sel:s3OutputPath:ModelCardExportOutputConfig'

-> ModelCardExportOutputConfig 

Create a value of ModelCardExportOutputConfig with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:s3OutputPath:ModelCardExportOutputConfig', modelCardExportOutputConfig_s3OutputPath - The Amazon S3 output path to export your model card PDF.

modelCardExportOutputConfig_s3OutputPath :: Lens' ModelCardExportOutputConfig Text Source #

The Amazon S3 output path to export your model card PDF.

ModelCardSecurityConfig

data ModelCardSecurityConfig Source #

Configure the security settings to protect model card data.

See: newModelCardSecurityConfig smart constructor.

Constructors

ModelCardSecurityConfig' 

Fields

Instances

Instances details
FromJSON ModelCardSecurityConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCardSecurityConfig

Methods

parseJSON :: Value -> Parser ModelCardSecurityConfig #

parseJSONList :: Value -> Parser [ModelCardSecurityConfig] #

ToJSON ModelCardSecurityConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCardSecurityConfig

Methods

toJSON :: ModelCardSecurityConfig -> Value #

toEncoding :: ModelCardSecurityConfig -> Encoding #

toJSONList :: [ModelCardSecurityConfig] -> Value #

toEncodingList :: [ModelCardSecurityConfig] -> Encoding #

Generic ModelCardSecurityConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCardSecurityConfig

Associated Types

type Rep ModelCardSecurityConfig :: Type -> Type #

Methods

from :: ModelCardSecurityConfig -> Rep ModelCardSecurityConfig x #

to :: Rep ModelCardSecurityConfig x -> ModelCardSecurityConfig #

Read ModelCardSecurityConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCardSecurityConfig

Methods

readsPrec :: Int -> ReadS ModelCardSecurityConfig #

readList :: ReadS [ModelCardSecurityConfig] #

readPrec :: ReadPrec ModelCardSecurityConfig #

readListPrec :: ReadPrec [ModelCardSecurityConfig] #

Show ModelCardSecurityConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCardSecurityConfig

Methods

showsPrec :: Int -> ModelCardSecurityConfig -> ShowS #

show :: ModelCardSecurityConfig -> String #

showList :: [ModelCardSecurityConfig] -> ShowS #

NFData ModelCardSecurityConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCardSecurityConfig

Methods

rnf :: ModelCardSecurityConfig -> () #

Eq ModelCardSecurityConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCardSecurityConfig

Methods

(==) :: ModelCardSecurityConfig -> ModelCardSecurityConfig -> Bool #

(/=) :: ModelCardSecurityConfig -> ModelCardSecurityConfig -> Bool #

Hashable ModelCardSecurityConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCardSecurityConfig

Methods

hashWithSalt :: Int -> ModelCardSecurityConfig -> Int #

hash :: ModelCardSecurityConfig -> Int #

type Rep ModelCardSecurityConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCardSecurityConfig

type Rep ModelCardSecurityConfig = D1 ('MetaData "ModelCardSecurityConfig" "Amazonka.SageMaker.Types.ModelCardSecurityConfig" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "ModelCardSecurityConfig'" 'PrefixI 'True) (S1 ('MetaSel ('Just "kmsKeyId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))

newModelCardSecurityConfig :: ModelCardSecurityConfig Source #

Create a value of ModelCardSecurityConfig with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:kmsKeyId:ModelCardSecurityConfig', modelCardSecurityConfig_kmsKeyId - A Key Management Service key ID to use for encrypting a model card.

modelCardSecurityConfig_kmsKeyId :: Lens' ModelCardSecurityConfig (Maybe Text) Source #

A Key Management Service key ID to use for encrypting a model card.

ModelCardSummary

data ModelCardSummary Source #

A summary of the model card.

See: newModelCardSummary smart constructor.

Constructors

ModelCardSummary' 

Fields

  • lastModifiedTime :: Maybe POSIX

    The date and time that the model card was last modified.

  • modelCardName :: Text

    The name of the model card.

  • modelCardArn :: Text

    The Amazon Resource Name (ARN) of the model card.

  • modelCardStatus :: ModelCardStatus

    The approval status of the model card within your organization. Different organizations might have different criteria for model card review and approval.

    • Draft: The model card is a work in progress.
    • PendingReview: The model card is pending review.
    • Approved: The model card is approved.
    • Archived: The model card is archived. No more updates should be made to the model card, but it can still be exported.
  • creationTime :: POSIX

    The date and time that the model card was created.

Instances

Instances details
FromJSON ModelCardSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCardSummary

Methods

parseJSON :: Value -> Parser ModelCardSummary #

parseJSONList :: Value -> Parser [ModelCardSummary] #

Generic ModelCardSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCardSummary

Associated Types

type Rep ModelCardSummary :: Type -> Type #

Methods

from :: ModelCardSummary -> Rep ModelCardSummary x #

to :: Rep ModelCardSummary x -> ModelCardSummary #

Read ModelCardSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCardSummary

Methods

readsPrec :: Int -> ReadS ModelCardSummary #

readList :: ReadS [ModelCardSummary] #

readPrec :: ReadPrec ModelCardSummary #

readListPrec :: ReadPrec [ModelCardSummary] #

Show ModelCardSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCardSummary

Methods

showsPrec :: Int -> ModelCardSummary -> ShowS #

show :: ModelCardSummary -> String #

showList :: [ModelCardSummary] -> ShowS #

NFData ModelCardSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCardSummary

Methods

rnf :: ModelCardSummary -> () #

Eq ModelCardSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCardSummary

Methods

(==) :: ModelCardSummary -> ModelCardSummary -> Bool #

(/=) :: ModelCardSummary -> ModelCardSummary -> Bool #

Hashable ModelCardSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCardSummary

Methods

hashWithSalt :: Int -> ModelCardSummary -> Int #

hash :: ModelCardSummary -> Int #

type Rep ModelCardSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCardSummary

type Rep ModelCardSummary = D1 ('MetaData "ModelCardSummary" "Amazonka.SageMaker.Types.ModelCardSummary" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "ModelCardSummary'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "lastModifiedTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :*: S1 ('MetaSel ('Just "modelCardName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)) :*: (S1 ('MetaSel ('Just "modelCardArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: (S1 ('MetaSel ('Just "modelCardStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 ModelCardStatus) :*: S1 ('MetaSel ('Just "creationTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 POSIX)))))

newModelCardSummary Source #

Arguments

:: Text

$sel:modelCardName:ModelCardSummary'

-> Text

$sel:modelCardArn:ModelCardSummary'

-> ModelCardStatus

$sel:modelCardStatus:ModelCardSummary'

-> UTCTime

$sel:creationTime:ModelCardSummary'

-> ModelCardSummary 

Create a value of ModelCardSummary with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:lastModifiedTime:ModelCardSummary', modelCardSummary_lastModifiedTime - The date and time that the model card was last modified.

$sel:modelCardName:ModelCardSummary', modelCardSummary_modelCardName - The name of the model card.

$sel:modelCardArn:ModelCardSummary', modelCardSummary_modelCardArn - The Amazon Resource Name (ARN) of the model card.

$sel:modelCardStatus:ModelCardSummary', modelCardSummary_modelCardStatus - The approval status of the model card within your organization. Different organizations might have different criteria for model card review and approval.

  • Draft: The model card is a work in progress.
  • PendingReview: The model card is pending review.
  • Approved: The model card is approved.
  • Archived: The model card is archived. No more updates should be made to the model card, but it can still be exported.

$sel:creationTime:ModelCardSummary', modelCardSummary_creationTime - The date and time that the model card was created.

modelCardSummary_lastModifiedTime :: Lens' ModelCardSummary (Maybe UTCTime) Source #

The date and time that the model card was last modified.

modelCardSummary_modelCardName :: Lens' ModelCardSummary Text Source #

The name of the model card.

modelCardSummary_modelCardArn :: Lens' ModelCardSummary Text Source #

The Amazon Resource Name (ARN) of the model card.

modelCardSummary_modelCardStatus :: Lens' ModelCardSummary ModelCardStatus Source #

The approval status of the model card within your organization. Different organizations might have different criteria for model card review and approval.

  • Draft: The model card is a work in progress.
  • PendingReview: The model card is pending review.
  • Approved: The model card is approved.
  • Archived: The model card is archived. No more updates should be made to the model card, but it can still be exported.

modelCardSummary_creationTime :: Lens' ModelCardSummary UTCTime Source #

The date and time that the model card was created.

ModelCardVersionSummary

data ModelCardVersionSummary Source #

A summary of a specific version of the model card.

See: newModelCardVersionSummary smart constructor.

Constructors

ModelCardVersionSummary' 

Fields

  • lastModifiedTime :: Maybe POSIX

    The time date and time that the model card version was last modified.

  • modelCardName :: Text

    The name of the model card.

  • modelCardArn :: Text

    The Amazon Resource Name (ARN) of the model card.

  • modelCardStatus :: ModelCardStatus

    The approval status of the model card version within your organization. Different organizations might have different criteria for model card review and approval.

    • Draft: The model card is a work in progress.
    • PendingReview: The model card is pending review.
    • Approved: The model card is approved.
    • Archived: The model card is archived. No more updates should be made to the model card, but it can still be exported.
  • modelCardVersion :: Int

    A version of the model card.

  • creationTime :: POSIX

    The date and time that the model card version was created.

Instances

Instances details
FromJSON ModelCardVersionSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCardVersionSummary

Methods

parseJSON :: Value -> Parser ModelCardVersionSummary #

parseJSONList :: Value -> Parser [ModelCardVersionSummary] #

Generic ModelCardVersionSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCardVersionSummary

Associated Types

type Rep ModelCardVersionSummary :: Type -> Type #

Methods

from :: ModelCardVersionSummary -> Rep ModelCardVersionSummary x #

to :: Rep ModelCardVersionSummary x -> ModelCardVersionSummary #

Read ModelCardVersionSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCardVersionSummary

Methods

readsPrec :: Int -> ReadS ModelCardVersionSummary #

readList :: ReadS [ModelCardVersionSummary] #

readPrec :: ReadPrec ModelCardVersionSummary #

readListPrec :: ReadPrec [ModelCardVersionSummary] #

Show ModelCardVersionSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCardVersionSummary

Methods

showsPrec :: Int -> ModelCardVersionSummary -> ShowS #

show :: ModelCardVersionSummary -> String #

showList :: [ModelCardVersionSummary] -> ShowS #

NFData ModelCardVersionSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCardVersionSummary

Methods

rnf :: ModelCardVersionSummary -> () #

Eq ModelCardVersionSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCardVersionSummary

Methods

(==) :: ModelCardVersionSummary -> ModelCardVersionSummary -> Bool #

(/=) :: ModelCardVersionSummary -> ModelCardVersionSummary -> Bool #

Hashable ModelCardVersionSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCardVersionSummary

Methods

hashWithSalt :: Int -> ModelCardVersionSummary -> Int #

hash :: ModelCardVersionSummary -> Int #

type Rep ModelCardVersionSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelCardVersionSummary

type Rep ModelCardVersionSummary = D1 ('MetaData "ModelCardVersionSummary" "Amazonka.SageMaker.Types.ModelCardVersionSummary" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "ModelCardVersionSummary'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "lastModifiedTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :*: (S1 ('MetaSel ('Just "modelCardName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: S1 ('MetaSel ('Just "modelCardArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text))) :*: (S1 ('MetaSel ('Just "modelCardStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 ModelCardStatus) :*: (S1 ('MetaSel ('Just "modelCardVersion") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Int) :*: S1 ('MetaSel ('Just "creationTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 POSIX)))))

newModelCardVersionSummary Source #

Arguments

:: Text

$sel:modelCardName:ModelCardVersionSummary'

-> Text

$sel:modelCardArn:ModelCardVersionSummary'

-> ModelCardStatus

$sel:modelCardStatus:ModelCardVersionSummary'

-> Int

$sel:modelCardVersion:ModelCardVersionSummary'

-> UTCTime

$sel:creationTime:ModelCardVersionSummary'

-> ModelCardVersionSummary 

Create a value of ModelCardVersionSummary with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:lastModifiedTime:ModelCardVersionSummary', modelCardVersionSummary_lastModifiedTime - The time date and time that the model card version was last modified.

$sel:modelCardName:ModelCardVersionSummary', modelCardVersionSummary_modelCardName - The name of the model card.

$sel:modelCardArn:ModelCardVersionSummary', modelCardVersionSummary_modelCardArn - The Amazon Resource Name (ARN) of the model card.

$sel:modelCardStatus:ModelCardVersionSummary', modelCardVersionSummary_modelCardStatus - The approval status of the model card version within your organization. Different organizations might have different criteria for model card review and approval.

  • Draft: The model card is a work in progress.
  • PendingReview: The model card is pending review.
  • Approved: The model card is approved.
  • Archived: The model card is archived. No more updates should be made to the model card, but it can still be exported.

$sel:modelCardVersion:ModelCardVersionSummary', modelCardVersionSummary_modelCardVersion - A version of the model card.

$sel:creationTime:ModelCardVersionSummary', modelCardVersionSummary_creationTime - The date and time that the model card version was created.

modelCardVersionSummary_lastModifiedTime :: Lens' ModelCardVersionSummary (Maybe UTCTime) Source #

The time date and time that the model card version was last modified.

modelCardVersionSummary_modelCardName :: Lens' ModelCardVersionSummary Text Source #

The name of the model card.

modelCardVersionSummary_modelCardArn :: Lens' ModelCardVersionSummary Text Source #

The Amazon Resource Name (ARN) of the model card.

modelCardVersionSummary_modelCardStatus :: Lens' ModelCardVersionSummary ModelCardStatus Source #

The approval status of the model card version within your organization. Different organizations might have different criteria for model card review and approval.

  • Draft: The model card is a work in progress.
  • PendingReview: The model card is pending review.
  • Approved: The model card is approved.
  • Archived: The model card is archived. No more updates should be made to the model card, but it can still be exported.

modelCardVersionSummary_modelCardVersion :: Lens' ModelCardVersionSummary Int Source #

A version of the model card.

modelCardVersionSummary_creationTime :: Lens' ModelCardVersionSummary UTCTime Source #

The date and time that the model card version was created.

ModelClientConfig

data ModelClientConfig Source #

Configures the timeout and maximum number of retries for processing a transform job invocation.

See: newModelClientConfig smart constructor.

Constructors

ModelClientConfig' 

Fields

Instances

Instances details
FromJSON ModelClientConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelClientConfig

Methods

parseJSON :: Value -> Parser ModelClientConfig #

parseJSONList :: Value -> Parser [ModelClientConfig] #

ToJSON ModelClientConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelClientConfig

Methods

toJSON :: ModelClientConfig -> Value #

toEncoding :: ModelClientConfig -> Encoding #

toJSONList :: [ModelClientConfig] -> Value #

toEncodingList :: [ModelClientConfig] -> Encoding #

Generic ModelClientConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelClientConfig

Associated Types

type Rep ModelClientConfig :: Type -> Type #

Methods

from :: ModelClientConfig -> Rep ModelClientConfig x #

to :: Rep ModelClientConfig x -> ModelClientConfig #

Read ModelClientConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelClientConfig

Methods

readsPrec :: Int -> ReadS ModelClientConfig #

readList :: ReadS [ModelClientConfig] #

readPrec :: ReadPrec ModelClientConfig #

readListPrec :: ReadPrec [ModelClientConfig] #

Show ModelClientConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelClientConfig

Methods

showsPrec :: Int -> ModelClientConfig -> ShowS #

show :: ModelClientConfig -> String #

showList :: [ModelClientConfig] -> ShowS #

NFData ModelClientConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelClientConfig

Methods

rnf :: ModelClientConfig -> () #

Eq ModelClientConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelClientConfig

Methods

(==) :: ModelClientConfig -> ModelClientConfig -> Bool #

(/=) :: ModelClientConfig -> ModelClientConfig -> Bool #

Hashable ModelClientConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelClientConfig

Methods

hashWithSalt :: Int -> ModelClientConfig -> Int #

hash :: ModelClientConfig -> Int #

type Rep ModelClientConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelClientConfig

type Rep ModelClientConfig = D1 ('MetaData "ModelClientConfig" "Amazonka.SageMaker.Types.ModelClientConfig" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "ModelClientConfig'" 'PrefixI 'True) (S1 ('MetaSel ('Just "invocationsMaxRetries") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural)) :*: S1 ('MetaSel ('Just "invocationsTimeoutInSeconds") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural))))

newModelClientConfig :: ModelClientConfig Source #

Create a value of ModelClientConfig with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:invocationsMaxRetries:ModelClientConfig', modelClientConfig_invocationsMaxRetries - The maximum number of retries when invocation requests are failing. The default value is 3.

$sel:invocationsTimeoutInSeconds:ModelClientConfig', modelClientConfig_invocationsTimeoutInSeconds - The timeout value in seconds for an invocation request. The default value is 600.

modelClientConfig_invocationsMaxRetries :: Lens' ModelClientConfig (Maybe Natural) Source #

The maximum number of retries when invocation requests are failing. The default value is 3.

modelClientConfig_invocationsTimeoutInSeconds :: Lens' ModelClientConfig (Maybe Natural) Source #

The timeout value in seconds for an invocation request. The default value is 600.

ModelConfiguration

data ModelConfiguration Source #

Defines the model configuration. Includes the specification name and environment parameters.

See: newModelConfiguration smart constructor.

Constructors

ModelConfiguration' 

Fields

Instances

Instances details
FromJSON ModelConfiguration Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelConfiguration

Methods

parseJSON :: Value -> Parser ModelConfiguration #

parseJSONList :: Value -> Parser [ModelConfiguration] #

Generic ModelConfiguration Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelConfiguration

Associated Types

type Rep ModelConfiguration :: Type -> Type #

Methods

from :: ModelConfiguration -> Rep ModelConfiguration x #

to :: Rep ModelConfiguration x -> ModelConfiguration #

Read ModelConfiguration Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelConfiguration

Methods

readsPrec :: Int -> ReadS ModelConfiguration #

readList :: ReadS [ModelConfiguration] #

readPrec :: ReadPrec ModelConfiguration #

readListPrec :: ReadPrec [ModelConfiguration] #

Show ModelConfiguration Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelConfiguration

Methods

showsPrec :: Int -> ModelConfiguration -> ShowS #

show :: ModelConfiguration -> String #

showList :: [ModelConfiguration] -> ShowS #

NFData ModelConfiguration Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelConfiguration

Methods

rnf :: ModelConfiguration -> () #

Eq ModelConfiguration Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelConfiguration

Methods

(==) :: ModelConfiguration -> ModelConfiguration -> Bool #

(/=) :: ModelConfiguration -> ModelConfiguration -> Bool #

Hashable ModelConfiguration Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelConfiguration

Methods

hashWithSalt :: Int -> ModelConfiguration -> Int #

hash :: ModelConfiguration -> Int #

type Rep ModelConfiguration Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelConfiguration

type Rep ModelConfiguration = D1 ('MetaData "ModelConfiguration" "Amazonka.SageMaker.Types.ModelConfiguration" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "ModelConfiguration'" 'PrefixI 'True) (S1 ('MetaSel ('Just "environmentParameters") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe (NonEmpty EnvironmentParameter))) :*: S1 ('MetaSel ('Just "inferenceSpecificationName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))

newModelConfiguration :: ModelConfiguration Source #

Create a value of ModelConfiguration with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:environmentParameters:ModelConfiguration', modelConfiguration_environmentParameters - Defines the environment parameters that includes key, value types, and values.

$sel:inferenceSpecificationName:ModelConfiguration', modelConfiguration_inferenceSpecificationName - The inference specification name in the model package version.

modelConfiguration_environmentParameters :: Lens' ModelConfiguration (Maybe (NonEmpty EnvironmentParameter)) Source #

Defines the environment parameters that includes key, value types, and values.

modelConfiguration_inferenceSpecificationName :: Lens' ModelConfiguration (Maybe Text) Source #

The inference specification name in the model package version.

ModelDashboardEndpoint

data ModelDashboardEndpoint Source #

An endpoint that hosts a model displayed in the Amazon SageMaker Model Dashboard.

See: newModelDashboardEndpoint smart constructor.

Constructors

ModelDashboardEndpoint' 

Fields

Instances

Instances details
FromJSON ModelDashboardEndpoint Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelDashboardEndpoint

Methods

parseJSON :: Value -> Parser ModelDashboardEndpoint #

parseJSONList :: Value -> Parser [ModelDashboardEndpoint] #

Generic ModelDashboardEndpoint Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelDashboardEndpoint

Associated Types

type Rep ModelDashboardEndpoint :: Type -> Type #

Methods

from :: ModelDashboardEndpoint -> Rep ModelDashboardEndpoint x #

to :: Rep ModelDashboardEndpoint x -> ModelDashboardEndpoint #

Read ModelDashboardEndpoint Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelDashboardEndpoint

Methods

readsPrec :: Int -> ReadS ModelDashboardEndpoint #

readList :: ReadS [ModelDashboardEndpoint] #

readPrec :: ReadPrec ModelDashboardEndpoint #

readListPrec :: ReadPrec [ModelDashboardEndpoint] #

Show ModelDashboardEndpoint Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelDashboardEndpoint

Methods

showsPrec :: Int -> ModelDashboardEndpoint -> ShowS #

show :: ModelDashboardEndpoint -> String #

showList :: [ModelDashboardEndpoint] -> ShowS #

NFData ModelDashboardEndpoint Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelDashboardEndpoint

Methods

rnf :: ModelDashboardEndpoint -> () #

Eq ModelDashboardEndpoint Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelDashboardEndpoint

Methods

(==) :: ModelDashboardEndpoint -> ModelDashboardEndpoint -> Bool #

(/=) :: ModelDashboardEndpoint -> ModelDashboardEndpoint -> Bool #

Hashable ModelDashboardEndpoint Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelDashboardEndpoint

Methods

hashWithSalt :: Int -> ModelDashboardEndpoint -> Int #

hash :: ModelDashboardEndpoint -> Int #

type Rep ModelDashboardEndpoint Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelDashboardEndpoint

type Rep ModelDashboardEndpoint = D1 ('MetaData "ModelDashboardEndpoint" "Amazonka.SageMaker.Types.ModelDashboardEndpoint" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "ModelDashboardEndpoint'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "endpointName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: S1 ('MetaSel ('Just "endpointArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)) :*: (S1 ('MetaSel ('Just "creationTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 POSIX) :*: (S1 ('MetaSel ('Just "lastModifiedTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 POSIX) :*: S1 ('MetaSel ('Just "endpointStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 EndpointStatus)))))

newModelDashboardEndpoint Source #

Arguments

:: Text

$sel:endpointName:ModelDashboardEndpoint'

-> Text

$sel:endpointArn:ModelDashboardEndpoint'

-> UTCTime

$sel:creationTime:ModelDashboardEndpoint'

-> UTCTime

$sel:lastModifiedTime:ModelDashboardEndpoint'

-> EndpointStatus

$sel:endpointStatus:ModelDashboardEndpoint'

-> ModelDashboardEndpoint 

Create a value of ModelDashboardEndpoint with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:endpointName:ModelDashboardEndpoint', modelDashboardEndpoint_endpointName - The endpoint name.

$sel:endpointArn:ModelDashboardEndpoint', modelDashboardEndpoint_endpointArn - The Amazon Resource Name (ARN) of the endpoint.

$sel:creationTime:ModelDashboardEndpoint', modelDashboardEndpoint_creationTime - A timestamp that indicates when the endpoint was created.

$sel:lastModifiedTime:ModelDashboardEndpoint', modelDashboardEndpoint_lastModifiedTime - The last time the endpoint was modified.

$sel:endpointStatus:ModelDashboardEndpoint', modelDashboardEndpoint_endpointStatus - The endpoint status.

modelDashboardEndpoint_endpointName :: Lens' ModelDashboardEndpoint Text Source #

The endpoint name.

modelDashboardEndpoint_endpointArn :: Lens' ModelDashboardEndpoint Text Source #

The Amazon Resource Name (ARN) of the endpoint.

modelDashboardEndpoint_creationTime :: Lens' ModelDashboardEndpoint UTCTime Source #

A timestamp that indicates when the endpoint was created.

modelDashboardEndpoint_lastModifiedTime :: Lens' ModelDashboardEndpoint UTCTime Source #

The last time the endpoint was modified.

modelDashboardEndpoint_endpointStatus :: Lens' ModelDashboardEndpoint EndpointStatus Source #

The endpoint status.

ModelDashboardIndicatorAction

data ModelDashboardIndicatorAction Source #

An alert action taken to light up an icon on the Amazon SageMaker Model Dashboard when an alert goes into InAlert status.

See: newModelDashboardIndicatorAction smart constructor.

Constructors

ModelDashboardIndicatorAction' 

Fields

Instances

Instances details
FromJSON ModelDashboardIndicatorAction Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelDashboardIndicatorAction

Methods

parseJSON :: Value -> Parser ModelDashboardIndicatorAction #

parseJSONList :: Value -> Parser [ModelDashboardIndicatorAction] #

Generic ModelDashboardIndicatorAction Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelDashboardIndicatorAction

Associated Types

type Rep ModelDashboardIndicatorAction :: Type -> Type #

Methods

from :: ModelDashboardIndicatorAction -> Rep ModelDashboardIndicatorAction x #

to :: Rep ModelDashboardIndicatorAction x -> ModelDashboardIndicatorAction #

Read ModelDashboardIndicatorAction Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelDashboardIndicatorAction

Methods

readsPrec :: Int -> ReadS ModelDashboardIndicatorAction #

readList :: ReadS [ModelDashboardIndicatorAction] #

readPrec :: ReadPrec ModelDashboardIndicatorAction #

readListPrec :: ReadPrec [ModelDashboardIndicatorAction] #

Show ModelDashboardIndicatorAction Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelDashboardIndicatorAction

Methods

showsPrec :: Int -> ModelDashboardIndicatorAction -> ShowS #

show :: ModelDashboardIndicatorAction -> String #

showList :: [ModelDashboardIndicatorAction] -> ShowS #

NFData ModelDashboardIndicatorAction Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelDashboardIndicatorAction

Methods

rnf :: ModelDashboardIndicatorAction -> () #

Eq ModelDashboardIndicatorAction Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelDashboardIndicatorAction

Methods

(==) :: ModelDashboardIndicatorAction -> ModelDashboardIndicatorAction -> Bool #

(/=) :: ModelDashboardIndicatorAction -> ModelDashboardIndicatorAction -> Bool #

Hashable ModelDashboardIndicatorAction Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelDashboardIndicatorAction

Methods

hashWithSalt :: Int -> ModelDashboardIndicatorAction -> Int #

hash :: ModelDashboardIndicatorAction -> Int #

type Rep ModelDashboardIndicatorAction Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelDashboardIndicatorAction

type Rep ModelDashboardIndicatorAction = D1 ('MetaData "ModelDashboardIndicatorAction" "Amazonka.SageMaker.Types.ModelDashboardIndicatorAction" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "ModelDashboardIndicatorAction'" 'PrefixI 'True) (S1 ('MetaSel ('Just "enabled") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Bool))))

newModelDashboardIndicatorAction :: ModelDashboardIndicatorAction Source #

Create a value of ModelDashboardIndicatorAction with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:enabled:ModelDashboardIndicatorAction', modelDashboardIndicatorAction_enabled - Indicates whether the alert action is turned on.

modelDashboardIndicatorAction_enabled :: Lens' ModelDashboardIndicatorAction (Maybe Bool) Source #

Indicates whether the alert action is turned on.

ModelDashboardModel

data ModelDashboardModel Source #

A model displayed in the Amazon SageMaker Model Dashboard.

See: newModelDashboardModel smart constructor.

Constructors

ModelDashboardModel' 

Fields

Instances

Instances details
FromJSON ModelDashboardModel Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelDashboardModel

Methods

parseJSON :: Value -> Parser ModelDashboardModel #

parseJSONList :: Value -> Parser [ModelDashboardModel] #

Generic ModelDashboardModel Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelDashboardModel

Associated Types

type Rep ModelDashboardModel :: Type -> Type #

Methods

from :: ModelDashboardModel -> Rep ModelDashboardModel x #

to :: Rep ModelDashboardModel x -> ModelDashboardModel #

Read ModelDashboardModel Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelDashboardModel

Methods

readsPrec :: Int -> ReadS ModelDashboardModel #

readList :: ReadS [ModelDashboardModel] #

readPrec :: ReadPrec ModelDashboardModel #

readListPrec :: ReadPrec [ModelDashboardModel] #

Show ModelDashboardModel Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelDashboardModel

Methods

showsPrec :: Int -> ModelDashboardModel -> ShowS #

show :: ModelDashboardModel -> String #

showList :: [ModelDashboardModel] -> ShowS #

NFData ModelDashboardModel Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelDashboardModel

Methods

rnf :: ModelDashboardModel -> () #

Eq ModelDashboardModel Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelDashboardModel

Methods

(==) :: ModelDashboardModel -> ModelDashboardModel -> Bool #

(/=) :: ModelDashboardModel -> ModelDashboardModel -> Bool #

Hashable ModelDashboardModel Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelDashboardModel

Methods

hashWithSalt :: Int -> ModelDashboardModel -> Int #

hash :: ModelDashboardModel -> Int #

type Rep ModelDashboardModel Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelDashboardModel

type Rep ModelDashboardModel = D1 ('MetaData "ModelDashboardModel" "Amazonka.SageMaker.Types.ModelDashboardModel" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "ModelDashboardModel'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "endpoints") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [ModelDashboardEndpoint])) :*: S1 ('MetaSel ('Just "lastBatchTransformJob") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe TransformJob))) :*: (S1 ('MetaSel ('Just "model") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Model)) :*: (S1 ('MetaSel ('Just "modelCard") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ModelDashboardModelCard)) :*: S1 ('MetaSel ('Just "monitoringSchedules") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [ModelDashboardMonitoringSchedule]))))))

newModelDashboardModel :: ModelDashboardModel Source #

Create a value of ModelDashboardModel with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:endpoints:ModelDashboardModel', modelDashboardModel_endpoints - The endpoints that host a model.

$sel:lastBatchTransformJob:ModelDashboardModel', modelDashboardModel_lastBatchTransformJob - Undocumented member.

$sel:model:ModelDashboardModel', modelDashboardModel_model - A model displayed in the Model Dashboard.

$sel:modelCard:ModelDashboardModel', modelDashboardModel_modelCard - The model card for a model.

$sel:monitoringSchedules:ModelDashboardModel', modelDashboardModel_monitoringSchedules - The monitoring schedules for a model.

modelDashboardModel_endpoints :: Lens' ModelDashboardModel (Maybe [ModelDashboardEndpoint]) Source #

The endpoints that host a model.

modelDashboardModel_lastBatchTransformJob :: Lens' ModelDashboardModel (Maybe TransformJob) Source #

Undocumented member.

modelDashboardModel_model :: Lens' ModelDashboardModel (Maybe Model) Source #

A model displayed in the Model Dashboard.

modelDashboardModel_modelCard :: Lens' ModelDashboardModel (Maybe ModelDashboardModelCard) Source #

The model card for a model.

modelDashboardModel_monitoringSchedules :: Lens' ModelDashboardModel (Maybe [ModelDashboardMonitoringSchedule]) Source #

The monitoring schedules for a model.

ModelDashboardModelCard

data ModelDashboardModelCard Source #

The model card for a model displayed in the Amazon SageMaker Model Dashboard.

See: newModelDashboardModelCard smart constructor.

Constructors

ModelDashboardModelCard' 

Fields

Instances

Instances details
FromJSON ModelDashboardModelCard Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelDashboardModelCard

Methods

parseJSON :: Value -> Parser ModelDashboardModelCard #

parseJSONList :: Value -> Parser [ModelDashboardModelCard] #

Generic ModelDashboardModelCard Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelDashboardModelCard

Associated Types

type Rep ModelDashboardModelCard :: Type -> Type #

Methods

from :: ModelDashboardModelCard -> Rep ModelDashboardModelCard x #

to :: Rep ModelDashboardModelCard x -> ModelDashboardModelCard #

Read ModelDashboardModelCard Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelDashboardModelCard

Methods

readsPrec :: Int -> ReadS ModelDashboardModelCard #

readList :: ReadS [ModelDashboardModelCard] #

readPrec :: ReadPrec ModelDashboardModelCard #

readListPrec :: ReadPrec [ModelDashboardModelCard] #

Show ModelDashboardModelCard Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelDashboardModelCard

Methods

showsPrec :: Int -> ModelDashboardModelCard -> ShowS #

show :: ModelDashboardModelCard -> String #

showList :: [ModelDashboardModelCard] -> ShowS #

NFData ModelDashboardModelCard Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelDashboardModelCard

Methods

rnf :: ModelDashboardModelCard -> () #

Eq ModelDashboardModelCard Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelDashboardModelCard

Methods

(==) :: ModelDashboardModelCard -> ModelDashboardModelCard -> Bool #

(/=) :: ModelDashboardModelCard -> ModelDashboardModelCard -> Bool #

Hashable ModelDashboardModelCard Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelDashboardModelCard

Methods

hashWithSalt :: Int -> ModelDashboardModelCard -> Int #

hash :: ModelDashboardModelCard -> Int #

type Rep ModelDashboardModelCard Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelDashboardModelCard

type Rep ModelDashboardModelCard = D1 ('MetaData "ModelDashboardModelCard" "Amazonka.SageMaker.Types.ModelDashboardModelCard" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "ModelDashboardModelCard'" 'PrefixI 'True) (((S1 ('MetaSel ('Just "createdBy") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe UserContext)) :*: (S1 ('MetaSel ('Just "creationTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :*: S1 ('MetaSel ('Just "lastModifiedBy") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe UserContext)))) :*: (S1 ('MetaSel ('Just "lastModifiedTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :*: (S1 ('MetaSel ('Just "modelCardArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "modelCardName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))) :*: ((S1 ('MetaSel ('Just "modelCardStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ModelCardStatus)) :*: (S1 ('MetaSel ('Just "modelCardVersion") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Int)) :*: S1 ('MetaSel ('Just "modelId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))) :*: (S1 ('MetaSel ('Just "riskRating") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: (S1 ('MetaSel ('Just "securityConfig") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ModelCardSecurityConfig)) :*: S1 ('MetaSel ('Just "tags") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [Tag])))))))

newModelDashboardModelCard :: ModelDashboardModelCard Source #

Create a value of ModelDashboardModelCard with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:createdBy:ModelDashboardModelCard', modelDashboardModelCard_createdBy - Undocumented member.

$sel:creationTime:ModelDashboardModelCard', modelDashboardModelCard_creationTime - A timestamp that indicates when the model card was created.

$sel:lastModifiedBy:ModelDashboardModelCard', modelDashboardModelCard_lastModifiedBy - Undocumented member.

$sel:lastModifiedTime:ModelDashboardModelCard', modelDashboardModelCard_lastModifiedTime - A timestamp that indicates when the model card was last updated.

$sel:modelCardArn:ModelDashboardModelCard', modelDashboardModelCard_modelCardArn - The Amazon Resource Name (ARN) for a model card.

$sel:modelCardName:ModelDashboardModelCard', modelDashboardModelCard_modelCardName - The name of a model card.

$sel:modelCardStatus:ModelDashboardModelCard', modelDashboardModelCard_modelCardStatus - The model card status.

$sel:modelCardVersion:ModelDashboardModelCard', modelDashboardModelCard_modelCardVersion - The model card version.

$sel:modelId:ModelDashboardModelCard', modelDashboardModelCard_modelId - For models created in SageMaker, this is the model ARN. For models created outside of SageMaker, this is a user-customized string.

$sel:riskRating:ModelDashboardModelCard', modelDashboardModelCard_riskRating - A model card's risk rating. Can be low, medium, or high.

$sel:securityConfig:ModelDashboardModelCard', modelDashboardModelCard_securityConfig - The KMS Key ID (KMSKeyId) for encryption of model card information.

$sel:tags:ModelDashboardModelCard', modelDashboardModelCard_tags - The tags associated with a model card.

modelDashboardModelCard_createdBy :: Lens' ModelDashboardModelCard (Maybe UserContext) Source #

Undocumented member.

modelDashboardModelCard_creationTime :: Lens' ModelDashboardModelCard (Maybe UTCTime) Source #

A timestamp that indicates when the model card was created.

modelDashboardModelCard_lastModifiedBy :: Lens' ModelDashboardModelCard (Maybe UserContext) Source #

Undocumented member.

modelDashboardModelCard_lastModifiedTime :: Lens' ModelDashboardModelCard (Maybe UTCTime) Source #

A timestamp that indicates when the model card was last updated.

modelDashboardModelCard_modelCardArn :: Lens' ModelDashboardModelCard (Maybe Text) Source #

The Amazon Resource Name (ARN) for a model card.

modelDashboardModelCard_modelCardName :: Lens' ModelDashboardModelCard (Maybe Text) Source #

The name of a model card.

modelDashboardModelCard_modelCardStatus :: Lens' ModelDashboardModelCard (Maybe ModelCardStatus) Source #

The model card status.

modelDashboardModelCard_modelCardVersion :: Lens' ModelDashboardModelCard (Maybe Int) Source #

The model card version.

modelDashboardModelCard_modelId :: Lens' ModelDashboardModelCard (Maybe Text) Source #

For models created in SageMaker, this is the model ARN. For models created outside of SageMaker, this is a user-customized string.

modelDashboardModelCard_riskRating :: Lens' ModelDashboardModelCard (Maybe Text) Source #

A model card's risk rating. Can be low, medium, or high.

modelDashboardModelCard_securityConfig :: Lens' ModelDashboardModelCard (Maybe ModelCardSecurityConfig) Source #

The KMS Key ID (KMSKeyId) for encryption of model card information.

modelDashboardModelCard_tags :: Lens' ModelDashboardModelCard (Maybe [Tag]) Source #

The tags associated with a model card.

ModelDashboardMonitoringSchedule

data ModelDashboardMonitoringSchedule Source #

A monitoring schedule for a model displayed in the Amazon SageMaker Model Dashboard.

See: newModelDashboardMonitoringSchedule smart constructor.

Constructors

ModelDashboardMonitoringSchedule' 

Fields

Instances

Instances details
FromJSON ModelDashboardMonitoringSchedule Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelDashboardMonitoringSchedule

Methods

parseJSON :: Value -> Parser ModelDashboardMonitoringSchedule #

parseJSONList :: Value -> Parser [ModelDashboardMonitoringSchedule] #

Generic ModelDashboardMonitoringSchedule Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelDashboardMonitoringSchedule

Associated Types

type Rep ModelDashboardMonitoringSchedule :: Type -> Type #

Methods

from :: ModelDashboardMonitoringSchedule -> Rep ModelDashboardMonitoringSchedule x #

to :: Rep ModelDashboardMonitoringSchedule x -> ModelDashboardMonitoringSchedule #

Read ModelDashboardMonitoringSchedule Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelDashboardMonitoringSchedule

Methods

readsPrec :: Int -> ReadS ModelDashboardMonitoringSchedule #

readList :: ReadS [ModelDashboardMonitoringSchedule] #

readPrec :: ReadPrec ModelDashboardMonitoringSchedule #

readListPrec :: ReadPrec [ModelDashboardMonitoringSchedule] #

Show ModelDashboardMonitoringSchedule Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelDashboardMonitoringSchedule

Methods

showsPrec :: Int -> ModelDashboardMonitoringSchedule -> ShowS #

show :: ModelDashboardMonitoringSchedule -> String #

showList :: [ModelDashboardMonitoringSchedule] -> ShowS #

NFData ModelDashboardMonitoringSchedule Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelDashboardMonitoringSchedule

Methods

rnf :: ModelDashboardMonitoringSchedule -> () #

Eq ModelDashboardMonitoringSchedule Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelDashboardMonitoringSchedule

Methods

(==) :: ModelDashboardMonitoringSchedule -> ModelDashboardMonitoringSchedule -> Bool #

(/=) :: ModelDashboardMonitoringSchedule -> ModelDashboardMonitoringSchedule -> Bool #

Hashable ModelDashboardMonitoringSchedule Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelDashboardMonitoringSchedule

Methods

hashWithSalt :: Int -> ModelDashboardMonitoringSchedule -> Int #

hash :: ModelDashboardMonitoringSchedule -> Int #

type Rep ModelDashboardMonitoringSchedule Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelDashboardMonitoringSchedule

type Rep ModelDashboardMonitoringSchedule = D1 ('MetaData "ModelDashboardMonitoringSchedule" "Amazonka.SageMaker.Types.ModelDashboardMonitoringSchedule" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "ModelDashboardMonitoringSchedule'" 'PrefixI 'True) (((S1 ('MetaSel ('Just "creationTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :*: S1 ('MetaSel ('Just "endpointName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))) :*: (S1 ('MetaSel ('Just "failureReason") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: (S1 ('MetaSel ('Just "lastModifiedTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :*: S1 ('MetaSel ('Just "lastMonitoringExecutionSummary") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe MonitoringExecutionSummary))))) :*: ((S1 ('MetaSel ('Just "monitoringAlertSummaries") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe (NonEmpty MonitoringAlertSummary))) :*: (S1 ('MetaSel ('Just "monitoringScheduleArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "monitoringScheduleConfig") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe MonitoringScheduleConfig)))) :*: (S1 ('MetaSel ('Just "monitoringScheduleName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: (S1 ('MetaSel ('Just "monitoringScheduleStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ScheduleStatus)) :*: S1 ('MetaSel ('Just "monitoringType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe MonitoringType)))))))

newModelDashboardMonitoringSchedule :: ModelDashboardMonitoringSchedule Source #

Create a value of ModelDashboardMonitoringSchedule with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

ModelDashboardMonitoringSchedule, modelDashboardMonitoringSchedule_creationTime - A timestamp that indicates when the monitoring schedule was created.

ModelDashboardMonitoringSchedule, modelDashboardMonitoringSchedule_endpointName - The endpoint which is monitored.

ModelDashboardMonitoringSchedule, modelDashboardMonitoringSchedule_failureReason - If a monitoring job failed, provides the reason.

ModelDashboardMonitoringSchedule, modelDashboardMonitoringSchedule_lastModifiedTime - A timestamp that indicates when the monitoring schedule was last updated.

$sel:lastMonitoringExecutionSummary:ModelDashboardMonitoringSchedule', modelDashboardMonitoringSchedule_lastMonitoringExecutionSummary - Undocumented member.

$sel:monitoringAlertSummaries:ModelDashboardMonitoringSchedule', modelDashboardMonitoringSchedule_monitoringAlertSummaries - A JSON array where each element is a summary for a monitoring alert.

$sel:monitoringScheduleArn:ModelDashboardMonitoringSchedule', modelDashboardMonitoringSchedule_monitoringScheduleArn - The Amazon Resource Name (ARN) of a monitoring schedule.

$sel:monitoringScheduleConfig:ModelDashboardMonitoringSchedule', modelDashboardMonitoringSchedule_monitoringScheduleConfig - Undocumented member.

ModelDashboardMonitoringSchedule, modelDashboardMonitoringSchedule_monitoringScheduleName - The name of a monitoring schedule.

$sel:monitoringScheduleStatus:ModelDashboardMonitoringSchedule', modelDashboardMonitoringSchedule_monitoringScheduleStatus - The status of the monitoring schedule.

ModelDashboardMonitoringSchedule, modelDashboardMonitoringSchedule_monitoringType - The monitor type of a model monitor.

modelDashboardMonitoringSchedule_creationTime :: Lens' ModelDashboardMonitoringSchedule (Maybe UTCTime) Source #

A timestamp that indicates when the monitoring schedule was created.

modelDashboardMonitoringSchedule_endpointName :: Lens' ModelDashboardMonitoringSchedule (Maybe Text) Source #

The endpoint which is monitored.

modelDashboardMonitoringSchedule_failureReason :: Lens' ModelDashboardMonitoringSchedule (Maybe Text) Source #

If a monitoring job failed, provides the reason.

modelDashboardMonitoringSchedule_lastModifiedTime :: Lens' ModelDashboardMonitoringSchedule (Maybe UTCTime) Source #

A timestamp that indicates when the monitoring schedule was last updated.

modelDashboardMonitoringSchedule_lastMonitoringExecutionSummary :: Lens' ModelDashboardMonitoringSchedule (Maybe MonitoringExecutionSummary) Source #

Undocumented member.

modelDashboardMonitoringSchedule_monitoringAlertSummaries :: Lens' ModelDashboardMonitoringSchedule (Maybe (NonEmpty MonitoringAlertSummary)) Source #

A JSON array where each element is a summary for a monitoring alert.

modelDashboardMonitoringSchedule_monitoringScheduleArn :: Lens' ModelDashboardMonitoringSchedule (Maybe Text) Source #

The Amazon Resource Name (ARN) of a monitoring schedule.

modelDashboardMonitoringSchedule_monitoringScheduleConfig :: Lens' ModelDashboardMonitoringSchedule (Maybe MonitoringScheduleConfig) Source #

Undocumented member.

modelDashboardMonitoringSchedule_monitoringScheduleName :: Lens' ModelDashboardMonitoringSchedule (Maybe Text) Source #

The name of a monitoring schedule.

modelDashboardMonitoringSchedule_monitoringScheduleStatus :: Lens' ModelDashboardMonitoringSchedule (Maybe ScheduleStatus) Source #

The status of the monitoring schedule.

modelDashboardMonitoringSchedule_monitoringType :: Lens' ModelDashboardMonitoringSchedule (Maybe MonitoringType) Source #

The monitor type of a model monitor.

ModelDataQuality

data ModelDataQuality Source #

Data quality constraints and statistics for a model.

See: newModelDataQuality smart constructor.

Constructors

ModelDataQuality' 

Fields

Instances

Instances details
FromJSON ModelDataQuality Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelDataQuality

Methods

parseJSON :: Value -> Parser ModelDataQuality #

parseJSONList :: Value -> Parser [ModelDataQuality] #

ToJSON ModelDataQuality Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelDataQuality

Methods

toJSON :: ModelDataQuality -> Value #

toEncoding :: ModelDataQuality -> Encoding #

toJSONList :: [ModelDataQuality] -> Value #

toEncodingList :: [ModelDataQuality] -> Encoding #

Generic ModelDataQuality Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelDataQuality

Associated Types

type Rep ModelDataQuality :: Type -> Type #

Methods

from :: ModelDataQuality -> Rep ModelDataQuality x #

to :: Rep ModelDataQuality x -> ModelDataQuality #

Read ModelDataQuality Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelDataQuality

Methods

readsPrec :: Int -> ReadS ModelDataQuality #

readList :: ReadS [ModelDataQuality] #

readPrec :: ReadPrec ModelDataQuality #

readListPrec :: ReadPrec [ModelDataQuality] #

Show ModelDataQuality Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelDataQuality

Methods

showsPrec :: Int -> ModelDataQuality -> ShowS #

show :: ModelDataQuality -> String #

showList :: [ModelDataQuality] -> ShowS #

NFData ModelDataQuality Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelDataQuality

Methods

rnf :: ModelDataQuality -> () #

Eq ModelDataQuality Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelDataQuality

Methods

(==) :: ModelDataQuality -> ModelDataQuality -> Bool #

(/=) :: ModelDataQuality -> ModelDataQuality -> Bool #

Hashable ModelDataQuality Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelDataQuality

Methods

hashWithSalt :: Int -> ModelDataQuality -> Int #

hash :: ModelDataQuality -> Int #

type Rep ModelDataQuality Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelDataQuality

type Rep ModelDataQuality = D1 ('MetaData "ModelDataQuality" "Amazonka.SageMaker.Types.ModelDataQuality" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "ModelDataQuality'" 'PrefixI 'True) (S1 ('MetaSel ('Just "constraints") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe MetricsSource)) :*: S1 ('MetaSel ('Just "statistics") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe MetricsSource))))

newModelDataQuality :: ModelDataQuality Source #

Create a value of ModelDataQuality with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:constraints:ModelDataQuality', modelDataQuality_constraints - Data quality constraints for a model.

$sel:statistics:ModelDataQuality', modelDataQuality_statistics - Data quality statistics for a model.

modelDataQuality_constraints :: Lens' ModelDataQuality (Maybe MetricsSource) Source #

Data quality constraints for a model.

modelDataQuality_statistics :: Lens' ModelDataQuality (Maybe MetricsSource) Source #

Data quality statistics for a model.

ModelDeployConfig

data ModelDeployConfig Source #

Specifies how to generate the endpoint name for an automatic one-click Autopilot model deployment.

See: newModelDeployConfig smart constructor.

Constructors

ModelDeployConfig' 

Fields

  • autoGenerateEndpointName :: Maybe Bool

    Set to True to automatically generate an endpoint name for a one-click Autopilot model deployment; set to False otherwise. The default value is False.

    If you set AutoGenerateEndpointName to True, do not specify the EndpointName; otherwise a 400 error is thrown.

  • endpointName :: Maybe Text

    Specifies the endpoint name to use for a one-click Autopilot model deployment if the endpoint name is not generated automatically.

    Specify the EndpointName if and only if you set AutoGenerateEndpointName to False; otherwise a 400 error is thrown.

Instances

Instances details
FromJSON ModelDeployConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelDeployConfig

Methods

parseJSON :: Value -> Parser ModelDeployConfig #

parseJSONList :: Value -> Parser [ModelDeployConfig] #

ToJSON ModelDeployConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelDeployConfig

Methods

toJSON :: ModelDeployConfig -> Value #

toEncoding :: ModelDeployConfig -> Encoding #

toJSONList :: [ModelDeployConfig] -> Value #

toEncodingList :: [ModelDeployConfig] -> Encoding #

Generic ModelDeployConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelDeployConfig

Associated Types

type Rep ModelDeployConfig :: Type -> Type #

Methods

from :: ModelDeployConfig -> Rep ModelDeployConfig x #

to :: Rep ModelDeployConfig x -> ModelDeployConfig #

Read ModelDeployConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelDeployConfig

Methods

readsPrec :: Int -> ReadS ModelDeployConfig #

readList :: ReadS [ModelDeployConfig] #

readPrec :: ReadPrec ModelDeployConfig #

readListPrec :: ReadPrec [ModelDeployConfig] #

Show ModelDeployConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelDeployConfig

Methods

showsPrec :: Int -> ModelDeployConfig -> ShowS #

show :: ModelDeployConfig -> String #

showList :: [ModelDeployConfig] -> ShowS #

NFData ModelDeployConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelDeployConfig

Methods

rnf :: ModelDeployConfig -> () #

Eq ModelDeployConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelDeployConfig

Methods

(==) :: ModelDeployConfig -> ModelDeployConfig -> Bool #

(/=) :: ModelDeployConfig -> ModelDeployConfig -> Bool #

Hashable ModelDeployConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelDeployConfig

Methods

hashWithSalt :: Int -> ModelDeployConfig -> Int #

hash :: ModelDeployConfig -> Int #

type Rep ModelDeployConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelDeployConfig

type Rep ModelDeployConfig = D1 ('MetaData "ModelDeployConfig" "Amazonka.SageMaker.Types.ModelDeployConfig" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "ModelDeployConfig'" 'PrefixI 'True) (S1 ('MetaSel ('Just "autoGenerateEndpointName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Bool)) :*: S1 ('MetaSel ('Just "endpointName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))

newModelDeployConfig :: ModelDeployConfig Source #

Create a value of ModelDeployConfig with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:autoGenerateEndpointName:ModelDeployConfig', modelDeployConfig_autoGenerateEndpointName - Set to True to automatically generate an endpoint name for a one-click Autopilot model deployment; set to False otherwise. The default value is False.

If you set AutoGenerateEndpointName to True, do not specify the EndpointName; otherwise a 400 error is thrown.

$sel:endpointName:ModelDeployConfig', modelDeployConfig_endpointName - Specifies the endpoint name to use for a one-click Autopilot model deployment if the endpoint name is not generated automatically.

Specify the EndpointName if and only if you set AutoGenerateEndpointName to False; otherwise a 400 error is thrown.

modelDeployConfig_autoGenerateEndpointName :: Lens' ModelDeployConfig (Maybe Bool) Source #

Set to True to automatically generate an endpoint name for a one-click Autopilot model deployment; set to False otherwise. The default value is False.

If you set AutoGenerateEndpointName to True, do not specify the EndpointName; otherwise a 400 error is thrown.

modelDeployConfig_endpointName :: Lens' ModelDeployConfig (Maybe Text) Source #

Specifies the endpoint name to use for a one-click Autopilot model deployment if the endpoint name is not generated automatically.

Specify the EndpointName if and only if you set AutoGenerateEndpointName to False; otherwise a 400 error is thrown.

ModelDeployResult

data ModelDeployResult Source #

Provides information about the endpoint of the model deployment.

See: newModelDeployResult smart constructor.

Constructors

ModelDeployResult' 

Fields

  • endpointName :: Maybe Text

    The name of the endpoint to which the model has been deployed.

    If model deployment fails, this field is omitted from the response.

Instances

Instances details
FromJSON ModelDeployResult Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelDeployResult

Methods

parseJSON :: Value -> Parser ModelDeployResult #

parseJSONList :: Value -> Parser [ModelDeployResult] #

Generic ModelDeployResult Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelDeployResult

Associated Types

type Rep ModelDeployResult :: Type -> Type #

Methods

from :: ModelDeployResult -> Rep ModelDeployResult x #

to :: Rep ModelDeployResult x -> ModelDeployResult #

Read ModelDeployResult Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelDeployResult

Methods

readsPrec :: Int -> ReadS ModelDeployResult #

readList :: ReadS [ModelDeployResult] #

readPrec :: ReadPrec ModelDeployResult #

readListPrec :: ReadPrec [ModelDeployResult] #

Show ModelDeployResult Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelDeployResult

Methods

showsPrec :: Int -> ModelDeployResult -> ShowS #

show :: ModelDeployResult -> String #

showList :: [ModelDeployResult] -> ShowS #

NFData ModelDeployResult Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelDeployResult

Methods

rnf :: ModelDeployResult -> () #

Eq ModelDeployResult Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelDeployResult

Methods

(==) :: ModelDeployResult -> ModelDeployResult -> Bool #

(/=) :: ModelDeployResult -> ModelDeployResult -> Bool #

Hashable ModelDeployResult Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelDeployResult

Methods

hashWithSalt :: Int -> ModelDeployResult -> Int #

hash :: ModelDeployResult -> Int #

type Rep ModelDeployResult Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelDeployResult

type Rep ModelDeployResult = D1 ('MetaData "ModelDeployResult" "Amazonka.SageMaker.Types.ModelDeployResult" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "ModelDeployResult'" 'PrefixI 'True) (S1 ('MetaSel ('Just "endpointName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))

newModelDeployResult :: ModelDeployResult Source #

Create a value of ModelDeployResult with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:endpointName:ModelDeployResult', modelDeployResult_endpointName - The name of the endpoint to which the model has been deployed.

If model deployment fails, this field is omitted from the response.

modelDeployResult_endpointName :: Lens' ModelDeployResult (Maybe Text) Source #

The name of the endpoint to which the model has been deployed.

If model deployment fails, this field is omitted from the response.

ModelDigests

data ModelDigests Source #

Provides information to verify the integrity of stored model artifacts.

See: newModelDigests smart constructor.

Constructors

ModelDigests' 

Fields

Instances

Instances details
FromJSON ModelDigests Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelDigests

Methods

parseJSON :: Value -> Parser ModelDigests #

parseJSONList :: Value -> Parser [ModelDigests] #

Generic ModelDigests Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelDigests

Associated Types

type Rep ModelDigests :: Type -> Type #

Methods

from :: ModelDigests -> Rep ModelDigests x #

to :: Rep ModelDigests x -> ModelDigests #

Read ModelDigests Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelDigests

Methods

readsPrec :: Int -> ReadS ModelDigests #

readList :: ReadS [ModelDigests] #

readPrec :: ReadPrec ModelDigests #

readListPrec :: ReadPrec [ModelDigests] #

Show ModelDigests Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelDigests

Methods

showsPrec :: Int -> ModelDigests -> ShowS #

show :: ModelDigests -> String #

showList :: [ModelDigests] -> ShowS #

NFData ModelDigests Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelDigests

Methods

rnf :: ModelDigests -> () #

Eq ModelDigests Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelDigests

Methods

(==) :: ModelDigests -> ModelDigests -> Bool #

(/=) :: ModelDigests -> ModelDigests -> Bool #

Hashable ModelDigests Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelDigests

Methods

hashWithSalt :: Int -> ModelDigests -> Int #

hash :: ModelDigests -> Int #

type Rep ModelDigests Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelDigests

type Rep ModelDigests = D1 ('MetaData "ModelDigests" "Amazonka.SageMaker.Types.ModelDigests" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "ModelDigests'" 'PrefixI 'True) (S1 ('MetaSel ('Just "artifactDigest") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))

newModelDigests :: ModelDigests Source #

Create a value of ModelDigests with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:artifactDigest:ModelDigests', modelDigests_artifactDigest - Provides a hash value that uniquely identifies the stored model artifacts.

modelDigests_artifactDigest :: Lens' ModelDigests (Maybe Text) Source #

Provides a hash value that uniquely identifies the stored model artifacts.

ModelExplainabilityAppSpecification

data ModelExplainabilityAppSpecification Source #

Docker container image configuration object for the model explainability job.

See: newModelExplainabilityAppSpecification smart constructor.

Constructors

ModelExplainabilityAppSpecification' 

Fields

Instances

Instances details
FromJSON ModelExplainabilityAppSpecification Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelExplainabilityAppSpecification

Methods

parseJSON :: Value -> Parser ModelExplainabilityAppSpecification #

parseJSONList :: Value -> Parser [ModelExplainabilityAppSpecification] #

ToJSON ModelExplainabilityAppSpecification Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelExplainabilityAppSpecification

Methods

toJSON :: ModelExplainabilityAppSpecification -> Value #

toEncoding :: ModelExplainabilityAppSpecification -> Encoding #

toJSONList :: [ModelExplainabilityAppSpecification] -> Value #

toEncodingList :: [ModelExplainabilityAppSpecification] -> Encoding #

Generic ModelExplainabilityAppSpecification Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelExplainabilityAppSpecification

Associated Types

type Rep ModelExplainabilityAppSpecification :: Type -> Type #

Methods

from :: ModelExplainabilityAppSpecification -> Rep ModelExplainabilityAppSpecification x #

to :: Rep ModelExplainabilityAppSpecification x -> ModelExplainabilityAppSpecification #

Read ModelExplainabilityAppSpecification Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelExplainabilityAppSpecification

Methods

readsPrec :: Int -> ReadS ModelExplainabilityAppSpecification #

readList :: ReadS [ModelExplainabilityAppSpecification] #

readPrec :: ReadPrec ModelExplainabilityAppSpecification #

readListPrec :: ReadPrec [ModelExplainabilityAppSpecification] #

Show ModelExplainabilityAppSpecification Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelExplainabilityAppSpecification

Methods

showsPrec :: Int -> ModelExplainabilityAppSpecification -> ShowS #

show :: ModelExplainabilityAppSpecification -> String #

showList :: [ModelExplainabilityAppSpecification] -> ShowS #

NFData ModelExplainabilityAppSpecification Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelExplainabilityAppSpecification

Methods

rnf :: ModelExplainabilityAppSpecification -> () #

Eq ModelExplainabilityAppSpecification Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelExplainabilityAppSpecification

Methods

(==) :: ModelExplainabilityAppSpecification -> ModelExplainabilityAppSpecification -> Bool #

(/=) :: ModelExplainabilityAppSpecification -> ModelExplainabilityAppSpecification -> Bool #

Hashable ModelExplainabilityAppSpecification Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelExplainabilityAppSpecification

Methods

hashWithSalt :: Int -> ModelExplainabilityAppSpecification -> Int #

hash :: ModelExplainabilityAppSpecification -> Int #

type Rep ModelExplainabilityAppSpecification Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelExplainabilityAppSpecification

type Rep ModelExplainabilityAppSpecification = D1 ('MetaData "ModelExplainabilityAppSpecification" "Amazonka.SageMaker.Types.ModelExplainabilityAppSpecification" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "ModelExplainabilityAppSpecification'" 'PrefixI 'True) (S1 ('MetaSel ('Just "environment") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe (HashMap Text Text))) :*: (S1 ('MetaSel ('Just "imageUri") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: S1 ('MetaSel ('Just "configUri") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text))))

newModelExplainabilityAppSpecification Source #

Arguments

:: Text

$sel:imageUri:ModelExplainabilityAppSpecification'

-> Text

$sel:configUri:ModelExplainabilityAppSpecification'

-> ModelExplainabilityAppSpecification 

Create a value of ModelExplainabilityAppSpecification with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:environment:ModelExplainabilityAppSpecification', modelExplainabilityAppSpecification_environment - Sets the environment variables in the Docker container.

$sel:imageUri:ModelExplainabilityAppSpecification', modelExplainabilityAppSpecification_imageUri - The container image to be run by the model explainability job.

$sel:configUri:ModelExplainabilityAppSpecification', modelExplainabilityAppSpecification_configUri - JSON formatted S3 file that defines explainability parameters. For more information on this JSON configuration file, see Configure model explainability parameters.

modelExplainabilityAppSpecification_environment :: Lens' ModelExplainabilityAppSpecification (Maybe (HashMap Text Text)) Source #

Sets the environment variables in the Docker container.

modelExplainabilityAppSpecification_imageUri :: Lens' ModelExplainabilityAppSpecification Text Source #

The container image to be run by the model explainability job.

modelExplainabilityAppSpecification_configUri :: Lens' ModelExplainabilityAppSpecification Text Source #

JSON formatted S3 file that defines explainability parameters. For more information on this JSON configuration file, see Configure model explainability parameters.

ModelExplainabilityBaselineConfig

data ModelExplainabilityBaselineConfig Source #

The configuration for a baseline model explainability job.

See: newModelExplainabilityBaselineConfig smart constructor.

Constructors

ModelExplainabilityBaselineConfig' 

Fields

Instances

Instances details
FromJSON ModelExplainabilityBaselineConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelExplainabilityBaselineConfig

Methods

parseJSON :: Value -> Parser ModelExplainabilityBaselineConfig #

parseJSONList :: Value -> Parser [ModelExplainabilityBaselineConfig] #

ToJSON ModelExplainabilityBaselineConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelExplainabilityBaselineConfig

Methods

toJSON :: ModelExplainabilityBaselineConfig -> Value #

toEncoding :: ModelExplainabilityBaselineConfig -> Encoding #

toJSONList :: [ModelExplainabilityBaselineConfig] -> Value #

toEncodingList :: [ModelExplainabilityBaselineConfig] -> Encoding #

Generic ModelExplainabilityBaselineConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelExplainabilityBaselineConfig

Associated Types

type Rep ModelExplainabilityBaselineConfig :: Type -> Type #

Methods

from :: ModelExplainabilityBaselineConfig -> Rep ModelExplainabilityBaselineConfig x #

to :: Rep ModelExplainabilityBaselineConfig x -> ModelExplainabilityBaselineConfig #

Read ModelExplainabilityBaselineConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelExplainabilityBaselineConfig

Methods

readsPrec :: Int -> ReadS ModelExplainabilityBaselineConfig #

readList :: ReadS [ModelExplainabilityBaselineConfig] #

readPrec :: ReadPrec ModelExplainabilityBaselineConfig #

readListPrec :: ReadPrec [ModelExplainabilityBaselineConfig] #

Show ModelExplainabilityBaselineConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelExplainabilityBaselineConfig

Methods

showsPrec :: Int -> ModelExplainabilityBaselineConfig -> ShowS #

show :: ModelExplainabilityBaselineConfig -> String #

showList :: [ModelExplainabilityBaselineConfig] -> ShowS #

NFData ModelExplainabilityBaselineConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelExplainabilityBaselineConfig

Methods

rnf :: ModelExplainabilityBaselineConfig -> () #

Eq ModelExplainabilityBaselineConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelExplainabilityBaselineConfig

Methods

(==) :: ModelExplainabilityBaselineConfig -> ModelExplainabilityBaselineConfig -> Bool #

(/=) :: ModelExplainabilityBaselineConfig -> ModelExplainabilityBaselineConfig -> Bool #

Hashable ModelExplainabilityBaselineConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelExplainabilityBaselineConfig

Methods

hashWithSalt :: Int -> ModelExplainabilityBaselineConfig -> Int #

hash :: ModelExplainabilityBaselineConfig -> Int #

type Rep ModelExplainabilityBaselineConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelExplainabilityBaselineConfig

type Rep ModelExplainabilityBaselineConfig = D1 ('MetaData "ModelExplainabilityBaselineConfig" "Amazonka.SageMaker.Types.ModelExplainabilityBaselineConfig" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "ModelExplainabilityBaselineConfig'" 'PrefixI 'True) (S1 ('MetaSel ('Just "baseliningJobName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "constraintsResource") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe MonitoringConstraintsResource))))

newModelExplainabilityBaselineConfig :: ModelExplainabilityBaselineConfig Source #

Create a value of ModelExplainabilityBaselineConfig with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:baseliningJobName:ModelExplainabilityBaselineConfig', modelExplainabilityBaselineConfig_baseliningJobName - The name of the baseline model explainability job.

$sel:constraintsResource:ModelExplainabilityBaselineConfig', modelExplainabilityBaselineConfig_constraintsResource - Undocumented member.

modelExplainabilityBaselineConfig_baseliningJobName :: Lens' ModelExplainabilityBaselineConfig (Maybe Text) Source #

The name of the baseline model explainability job.

modelExplainabilityBaselineConfig_constraintsResource :: Lens' ModelExplainabilityBaselineConfig (Maybe MonitoringConstraintsResource) Source #

Undocumented member.

ModelExplainabilityJobInput

data ModelExplainabilityJobInput Source #

Inputs for the model explainability job.

See: newModelExplainabilityJobInput smart constructor.

Constructors

ModelExplainabilityJobInput' 

Fields

Instances

Instances details
FromJSON ModelExplainabilityJobInput Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelExplainabilityJobInput

Methods

parseJSON :: Value -> Parser ModelExplainabilityJobInput #

parseJSONList :: Value -> Parser [ModelExplainabilityJobInput] #

ToJSON ModelExplainabilityJobInput Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelExplainabilityJobInput

Methods

toJSON :: ModelExplainabilityJobInput -> Value #

toEncoding :: ModelExplainabilityJobInput -> Encoding #

toJSONList :: [ModelExplainabilityJobInput] -> Value #

toEncodingList :: [ModelExplainabilityJobInput] -> Encoding #

Generic ModelExplainabilityJobInput Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelExplainabilityJobInput

Associated Types

type Rep ModelExplainabilityJobInput :: Type -> Type #

Methods

from :: ModelExplainabilityJobInput -> Rep ModelExplainabilityJobInput x #

to :: Rep ModelExplainabilityJobInput x -> ModelExplainabilityJobInput #

Read ModelExplainabilityJobInput Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelExplainabilityJobInput

Methods

readsPrec :: Int -> ReadS ModelExplainabilityJobInput #

readList :: ReadS [ModelExplainabilityJobInput] #

readPrec :: ReadPrec ModelExplainabilityJobInput #

readListPrec :: ReadPrec [ModelExplainabilityJobInput] #

Show ModelExplainabilityJobInput Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelExplainabilityJobInput

Methods

showsPrec :: Int -> ModelExplainabilityJobInput -> ShowS #

show :: ModelExplainabilityJobInput -> String #

showList :: [ModelExplainabilityJobInput] -> ShowS #

NFData ModelExplainabilityJobInput Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelExplainabilityJobInput

Methods

rnf :: ModelExplainabilityJobInput -> () #

Eq ModelExplainabilityJobInput Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelExplainabilityJobInput

Methods

(==) :: ModelExplainabilityJobInput -> ModelExplainabilityJobInput -> Bool #

(/=) :: ModelExplainabilityJobInput -> ModelExplainabilityJobInput -> Bool #

Hashable ModelExplainabilityJobInput Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelExplainabilityJobInput

Methods

hashWithSalt :: Int -> ModelExplainabilityJobInput -> Int #

hash :: ModelExplainabilityJobInput -> Int #

type Rep ModelExplainabilityJobInput Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelExplainabilityJobInput

type Rep ModelExplainabilityJobInput = D1 ('MetaData "ModelExplainabilityJobInput" "Amazonka.SageMaker.Types.ModelExplainabilityJobInput" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "ModelExplainabilityJobInput'" 'PrefixI 'True) (S1 ('MetaSel ('Just "batchTransformInput") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe BatchTransformInput)) :*: S1 ('MetaSel ('Just "endpointInput") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe EndpointInput))))

newModelExplainabilityJobInput :: ModelExplainabilityJobInput Source #

Create a value of ModelExplainabilityJobInput with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:batchTransformInput:ModelExplainabilityJobInput', modelExplainabilityJobInput_batchTransformInput - Input object for the batch transform job.

$sel:endpointInput:ModelExplainabilityJobInput', modelExplainabilityJobInput_endpointInput - Undocumented member.

modelExplainabilityJobInput_batchTransformInput :: Lens' ModelExplainabilityJobInput (Maybe BatchTransformInput) Source #

Input object for the batch transform job.

modelExplainabilityJobInput_endpointInput :: Lens' ModelExplainabilityJobInput (Maybe EndpointInput) Source #

Undocumented member.

ModelInfrastructureConfig

data ModelInfrastructureConfig Source #

The configuration for the infrastructure that the model will be deployed to.

See: newModelInfrastructureConfig smart constructor.

Constructors

ModelInfrastructureConfig' 

Fields

Instances

Instances details
FromJSON ModelInfrastructureConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelInfrastructureConfig

Methods

parseJSON :: Value -> Parser ModelInfrastructureConfig #

parseJSONList :: Value -> Parser [ModelInfrastructureConfig] #

ToJSON ModelInfrastructureConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelInfrastructureConfig

Methods

toJSON :: ModelInfrastructureConfig -> Value #

toEncoding :: ModelInfrastructureConfig -> Encoding #

toJSONList :: [ModelInfrastructureConfig] -> Value #

toEncodingList :: [ModelInfrastructureConfig] -> Encoding #

Generic ModelInfrastructureConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelInfrastructureConfig

Associated Types

type Rep ModelInfrastructureConfig :: Type -> Type #

Methods

from :: ModelInfrastructureConfig -> Rep ModelInfrastructureConfig x #

to :: Rep ModelInfrastructureConfig x -> ModelInfrastructureConfig #

Read ModelInfrastructureConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelInfrastructureConfig

Methods

readsPrec :: Int -> ReadS ModelInfrastructureConfig #

readList :: ReadS [ModelInfrastructureConfig] #

readPrec :: ReadPrec ModelInfrastructureConfig #

readListPrec :: ReadPrec [ModelInfrastructureConfig] #

Show ModelInfrastructureConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelInfrastructureConfig

Methods

showsPrec :: Int -> ModelInfrastructureConfig -> ShowS #

show :: ModelInfrastructureConfig -> String #

showList :: [ModelInfrastructureConfig] -> ShowS #

NFData ModelInfrastructureConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelInfrastructureConfig

Methods

rnf :: ModelInfrastructureConfig -> () #

Eq ModelInfrastructureConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelInfrastructureConfig

Methods

(==) :: ModelInfrastructureConfig -> ModelInfrastructureConfig -> Bool #

(/=) :: ModelInfrastructureConfig -> ModelInfrastructureConfig -> Bool #

Hashable ModelInfrastructureConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelInfrastructureConfig

Methods

hashWithSalt :: Int -> ModelInfrastructureConfig -> Int #

hash :: ModelInfrastructureConfig -> Int #

type Rep ModelInfrastructureConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelInfrastructureConfig

type Rep ModelInfrastructureConfig = D1 ('MetaData "ModelInfrastructureConfig" "Amazonka.SageMaker.Types.ModelInfrastructureConfig" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "ModelInfrastructureConfig'" 'PrefixI 'True) (S1 ('MetaSel ('Just "infrastructureType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 ModelInfrastructureType) :*: S1 ('MetaSel ('Just "realTimeInferenceConfig") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 RealTimeInferenceConfig)))

newModelInfrastructureConfig Source #

Arguments

:: ModelInfrastructureType

$sel:infrastructureType:ModelInfrastructureConfig'

-> RealTimeInferenceConfig

$sel:realTimeInferenceConfig:ModelInfrastructureConfig'

-> ModelInfrastructureConfig 

Create a value of ModelInfrastructureConfig with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:infrastructureType:ModelInfrastructureConfig', modelInfrastructureConfig_infrastructureType - The inference option to which to deploy your model. Possible values are the following:

  • RealTime: Deploy to real-time inference.

$sel:realTimeInferenceConfig:ModelInfrastructureConfig', modelInfrastructureConfig_realTimeInferenceConfig - The infrastructure configuration for deploying the model to real-time inference.

modelInfrastructureConfig_infrastructureType :: Lens' ModelInfrastructureConfig ModelInfrastructureType Source #

The inference option to which to deploy your model. Possible values are the following:

  • RealTime: Deploy to real-time inference.

modelInfrastructureConfig_realTimeInferenceConfig :: Lens' ModelInfrastructureConfig RealTimeInferenceConfig Source #

The infrastructure configuration for deploying the model to real-time inference.

ModelInput

data ModelInput Source #

Input object for the model.

See: newModelInput smart constructor.

Constructors

ModelInput' 

Fields

Instances

Instances details
FromJSON ModelInput Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelInput

Methods

parseJSON :: Value -> Parser ModelInput #

parseJSONList :: Value -> Parser [ModelInput] #

ToJSON ModelInput Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelInput

Methods

toJSON :: ModelInput -> Value #

toEncoding :: ModelInput -> Encoding #

toJSONList :: [ModelInput] -> Value #

toEncodingList :: [ModelInput] -> Encoding #

Generic ModelInput Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelInput

Associated Types

type Rep ModelInput :: Type -> Type #

Methods

from :: ModelInput -> Rep ModelInput x #

to :: Rep ModelInput x -> ModelInput #

Read ModelInput Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelInput

Methods

readsPrec :: Int -> ReadS ModelInput #

readList :: ReadS [ModelInput] #

readPrec :: ReadPrec ModelInput #

readListPrec :: ReadPrec [ModelInput] #

Show ModelInput Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelInput

Methods

showsPrec :: Int -> ModelInput -> ShowS #

show :: ModelInput -> String #

showList :: [ModelInput] -> ShowS #

NFData ModelInput Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelInput

Methods

rnf :: ModelInput -> () #

Eq ModelInput Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelInput

Methods

(==) :: ModelInput -> ModelInput -> Bool #

(/=) :: ModelInput -> ModelInput -> Bool #

Hashable ModelInput Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelInput

Methods

hashWithSalt :: Int -> ModelInput -> Int #

hash :: ModelInput -> Int #

type Rep ModelInput Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelInput

type Rep ModelInput = D1 ('MetaData "ModelInput" "Amazonka.SageMaker.Types.ModelInput" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "ModelInput'" 'PrefixI 'True) (S1 ('MetaSel ('Just "dataInputConfig") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))

newModelInput Source #

Arguments

:: Text

$sel:dataInputConfig:ModelInput'

-> ModelInput 

Create a value of ModelInput with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:dataInputConfig:ModelInput', modelInput_dataInputConfig - The input configuration object for the model.

modelInput_dataInputConfig :: Lens' ModelInput Text Source #

The input configuration object for the model.

ModelLatencyThreshold

data ModelLatencyThreshold Source #

The model latency threshold.

See: newModelLatencyThreshold smart constructor.

Constructors

ModelLatencyThreshold' 

Fields

Instances

Instances details
FromJSON ModelLatencyThreshold Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelLatencyThreshold

Methods

parseJSON :: Value -> Parser ModelLatencyThreshold #

parseJSONList :: Value -> Parser [ModelLatencyThreshold] #

ToJSON ModelLatencyThreshold Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelLatencyThreshold

Methods

toJSON :: ModelLatencyThreshold -> Value #

toEncoding :: ModelLatencyThreshold -> Encoding #

toJSONList :: [ModelLatencyThreshold] -> Value #

toEncodingList :: [ModelLatencyThreshold] -> Encoding #

Generic ModelLatencyThreshold Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelLatencyThreshold

Associated Types

type Rep ModelLatencyThreshold :: Type -> Type #

Methods

from :: ModelLatencyThreshold -> Rep ModelLatencyThreshold x #

to :: Rep ModelLatencyThreshold x -> ModelLatencyThreshold #

Read ModelLatencyThreshold Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelLatencyThreshold

Methods

readsPrec :: Int -> ReadS ModelLatencyThreshold #

readList :: ReadS [ModelLatencyThreshold] #

readPrec :: ReadPrec ModelLatencyThreshold #

readListPrec :: ReadPrec [ModelLatencyThreshold] #

Show ModelLatencyThreshold Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelLatencyThreshold

Methods

showsPrec :: Int -> ModelLatencyThreshold -> ShowS #

show :: ModelLatencyThreshold -> String #

showList :: [ModelLatencyThreshold] -> ShowS #

NFData ModelLatencyThreshold Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelLatencyThreshold

Methods

rnf :: ModelLatencyThreshold -> () #

Eq ModelLatencyThreshold Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelLatencyThreshold

Methods

(==) :: ModelLatencyThreshold -> ModelLatencyThreshold -> Bool #

(/=) :: ModelLatencyThreshold -> ModelLatencyThreshold -> Bool #

Hashable ModelLatencyThreshold Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelLatencyThreshold

Methods

hashWithSalt :: Int -> ModelLatencyThreshold -> Int #

hash :: ModelLatencyThreshold -> Int #

type Rep ModelLatencyThreshold Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelLatencyThreshold

type Rep ModelLatencyThreshold = D1 ('MetaData "ModelLatencyThreshold" "Amazonka.SageMaker.Types.ModelLatencyThreshold" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "ModelLatencyThreshold'" 'PrefixI 'True) (S1 ('MetaSel ('Just "percentile") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "valueInMilliseconds") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Int))))

newModelLatencyThreshold :: ModelLatencyThreshold Source #

Create a value of ModelLatencyThreshold with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:percentile:ModelLatencyThreshold', modelLatencyThreshold_percentile - The model latency percentile threshold.

$sel:valueInMilliseconds:ModelLatencyThreshold', modelLatencyThreshold_valueInMilliseconds - The model latency percentile value in milliseconds.

modelLatencyThreshold_percentile :: Lens' ModelLatencyThreshold (Maybe Text) Source #

The model latency percentile threshold.

modelLatencyThreshold_valueInMilliseconds :: Lens' ModelLatencyThreshold (Maybe Int) Source #

The model latency percentile value in milliseconds.

ModelMetadataFilter

data ModelMetadataFilter Source #

Part of the search expression. You can specify the name and value (domain, task, framework, framework version, task, and model).

See: newModelMetadataFilter smart constructor.

Constructors

ModelMetadataFilter' 

Fields

Instances

Instances details
ToJSON ModelMetadataFilter Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelMetadataFilter

Methods

toJSON :: ModelMetadataFilter -> Value #

toEncoding :: ModelMetadataFilter -> Encoding #

toJSONList :: [ModelMetadataFilter] -> Value #

toEncodingList :: [ModelMetadataFilter] -> Encoding #

Generic ModelMetadataFilter Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelMetadataFilter

Associated Types

type Rep ModelMetadataFilter :: Type -> Type #

Methods

from :: ModelMetadataFilter -> Rep ModelMetadataFilter x #

to :: Rep ModelMetadataFilter x -> ModelMetadataFilter #

Read ModelMetadataFilter Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelMetadataFilter

Methods

readsPrec :: Int -> ReadS ModelMetadataFilter #

readList :: ReadS [ModelMetadataFilter] #

readPrec :: ReadPrec ModelMetadataFilter #

readListPrec :: ReadPrec [ModelMetadataFilter] #

Show ModelMetadataFilter Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelMetadataFilter

Methods

showsPrec :: Int -> ModelMetadataFilter -> ShowS #

show :: ModelMetadataFilter -> String #

showList :: [ModelMetadataFilter] -> ShowS #

NFData ModelMetadataFilter Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelMetadataFilter

Methods

rnf :: ModelMetadataFilter -> () #

Eq ModelMetadataFilter Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelMetadataFilter

Methods

(==) :: ModelMetadataFilter -> ModelMetadataFilter -> Bool #

(/=) :: ModelMetadataFilter -> ModelMetadataFilter -> Bool #

Hashable ModelMetadataFilter Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelMetadataFilter

Methods

hashWithSalt :: Int -> ModelMetadataFilter -> Int #

hash :: ModelMetadataFilter -> Int #

type Rep ModelMetadataFilter Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelMetadataFilter

type Rep ModelMetadataFilter = D1 ('MetaData "ModelMetadataFilter" "Amazonka.SageMaker.Types.ModelMetadataFilter" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "ModelMetadataFilter'" 'PrefixI 'True) (S1 ('MetaSel ('Just "name") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 ModelMetadataFilterType) :*: S1 ('MetaSel ('Just "value") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))

newModelMetadataFilter Source #

Arguments

:: ModelMetadataFilterType

$sel:name:ModelMetadataFilter'

-> Text

$sel:value:ModelMetadataFilter'

-> ModelMetadataFilter 

Create a value of ModelMetadataFilter with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:name:ModelMetadataFilter', modelMetadataFilter_name - The name of the of the model to filter by.

$sel:value:ModelMetadataFilter', modelMetadataFilter_value - The value to filter the model metadata.

modelMetadataFilter_name :: Lens' ModelMetadataFilter ModelMetadataFilterType Source #

The name of the of the model to filter by.

modelMetadataFilter_value :: Lens' ModelMetadataFilter Text Source #

The value to filter the model metadata.

ModelMetadataSearchExpression

data ModelMetadataSearchExpression Source #

One or more filters that searches for the specified resource or resources in a search. All resource objects that satisfy the expression's condition are included in the search results

See: newModelMetadataSearchExpression smart constructor.

Constructors

ModelMetadataSearchExpression' 

Fields

Instances

Instances details
ToJSON ModelMetadataSearchExpression Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelMetadataSearchExpression

Methods

toJSON :: ModelMetadataSearchExpression -> Value #

toEncoding :: ModelMetadataSearchExpression -> Encoding #

toJSONList :: [ModelMetadataSearchExpression] -> Value #

toEncodingList :: [ModelMetadataSearchExpression] -> Encoding #

Generic ModelMetadataSearchExpression Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelMetadataSearchExpression

Associated Types

type Rep ModelMetadataSearchExpression :: Type -> Type #

Methods

from :: ModelMetadataSearchExpression -> Rep ModelMetadataSearchExpression x #

to :: Rep ModelMetadataSearchExpression x -> ModelMetadataSearchExpression #

Read ModelMetadataSearchExpression Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelMetadataSearchExpression

Methods

readsPrec :: Int -> ReadS ModelMetadataSearchExpression #

readList :: ReadS [ModelMetadataSearchExpression] #

readPrec :: ReadPrec ModelMetadataSearchExpression #

readListPrec :: ReadPrec [ModelMetadataSearchExpression] #

Show ModelMetadataSearchExpression Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelMetadataSearchExpression

Methods

showsPrec :: Int -> ModelMetadataSearchExpression -> ShowS #

show :: ModelMetadataSearchExpression -> String #

showList :: [ModelMetadataSearchExpression] -> ShowS #

NFData ModelMetadataSearchExpression Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelMetadataSearchExpression

Methods

rnf :: ModelMetadataSearchExpression -> () #

Eq ModelMetadataSearchExpression Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelMetadataSearchExpression

Methods

(==) :: ModelMetadataSearchExpression -> ModelMetadataSearchExpression -> Bool #

(/=) :: ModelMetadataSearchExpression -> ModelMetadataSearchExpression -> Bool #

Hashable ModelMetadataSearchExpression Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelMetadataSearchExpression

Methods

hashWithSalt :: Int -> ModelMetadataSearchExpression -> Int #

hash :: ModelMetadataSearchExpression -> Int #

type Rep ModelMetadataSearchExpression Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelMetadataSearchExpression

type Rep ModelMetadataSearchExpression = D1 ('MetaData "ModelMetadataSearchExpression" "Amazonka.SageMaker.Types.ModelMetadataSearchExpression" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "ModelMetadataSearchExpression'" 'PrefixI 'True) (S1 ('MetaSel ('Just "filters") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe (NonEmpty ModelMetadataFilter)))))

newModelMetadataSearchExpression :: ModelMetadataSearchExpression Source #

Create a value of ModelMetadataSearchExpression with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:filters:ModelMetadataSearchExpression', modelMetadataSearchExpression_filters - A list of filter objects.

modelMetadataSearchExpression_filters :: Lens' ModelMetadataSearchExpression (Maybe (NonEmpty ModelMetadataFilter)) Source #

A list of filter objects.

ModelMetadataSummary

data ModelMetadataSummary Source #

A summary of the model metadata.

See: newModelMetadataSummary smart constructor.

Constructors

ModelMetadataSummary' 

Fields

Instances

Instances details
FromJSON ModelMetadataSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelMetadataSummary

Methods

parseJSON :: Value -> Parser ModelMetadataSummary #

parseJSONList :: Value -> Parser [ModelMetadataSummary] #

Generic ModelMetadataSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelMetadataSummary

Associated Types

type Rep ModelMetadataSummary :: Type -> Type #

Methods

from :: ModelMetadataSummary -> Rep ModelMetadataSummary x #

to :: Rep ModelMetadataSummary x -> ModelMetadataSummary #

Read ModelMetadataSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelMetadataSummary

Methods

readsPrec :: Int -> ReadS ModelMetadataSummary #

readList :: ReadS [ModelMetadataSummary] #

readPrec :: ReadPrec ModelMetadataSummary #

readListPrec :: ReadPrec [ModelMetadataSummary] #

Show ModelMetadataSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelMetadataSummary

Methods

showsPrec :: Int -> ModelMetadataSummary -> ShowS #

show :: ModelMetadataSummary -> String #

showList :: [ModelMetadataSummary] -> ShowS #

NFData ModelMetadataSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelMetadataSummary

Methods

rnf :: ModelMetadataSummary -> () #

Eq ModelMetadataSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelMetadataSummary

Methods

(==) :: ModelMetadataSummary -> ModelMetadataSummary -> Bool #

(/=) :: ModelMetadataSummary -> ModelMetadataSummary -> Bool #

Hashable ModelMetadataSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelMetadataSummary

Methods

hashWithSalt :: Int -> ModelMetadataSummary -> Int #

hash :: ModelMetadataSummary -> Int #

type Rep ModelMetadataSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelMetadataSummary

type Rep ModelMetadataSummary = D1 ('MetaData "ModelMetadataSummary" "Amazonka.SageMaker.Types.ModelMetadataSummary" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "ModelMetadataSummary'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "domain") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: S1 ('MetaSel ('Just "framework") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)) :*: (S1 ('MetaSel ('Just "task") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: (S1 ('MetaSel ('Just "model") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: S1 ('MetaSel ('Just "frameworkVersion") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))))

newModelMetadataSummary Source #

Arguments

:: Text

$sel:domain:ModelMetadataSummary'

-> Text

$sel:framework:ModelMetadataSummary'

-> Text

$sel:task:ModelMetadataSummary'

-> Text

$sel:model:ModelMetadataSummary'

-> Text

$sel:frameworkVersion:ModelMetadataSummary'

-> ModelMetadataSummary 

Create a value of ModelMetadataSummary with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:domain:ModelMetadataSummary', modelMetadataSummary_domain - The machine learning domain of the model.

$sel:framework:ModelMetadataSummary', modelMetadataSummary_framework - The machine learning framework of the model.

$sel:task:ModelMetadataSummary', modelMetadataSummary_task - The machine learning task of the model.

$sel:model:ModelMetadataSummary', modelMetadataSummary_model - The name of the model.

$sel:frameworkVersion:ModelMetadataSummary', modelMetadataSummary_frameworkVersion - The framework version of the model.

modelMetadataSummary_domain :: Lens' ModelMetadataSummary Text Source #

The machine learning domain of the model.

modelMetadataSummary_framework :: Lens' ModelMetadataSummary Text Source #

The machine learning framework of the model.

modelMetadataSummary_task :: Lens' ModelMetadataSummary Text Source #

The machine learning task of the model.

modelMetadataSummary_model :: Lens' ModelMetadataSummary Text Source #

The name of the model.

modelMetadataSummary_frameworkVersion :: Lens' ModelMetadataSummary Text Source #

The framework version of the model.

ModelMetrics

data ModelMetrics Source #

Contains metrics captured from a model.

See: newModelMetrics smart constructor.

Constructors

ModelMetrics' 

Fields

Instances

Instances details
FromJSON ModelMetrics Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelMetrics

Methods

parseJSON :: Value -> Parser ModelMetrics #

parseJSONList :: Value -> Parser [ModelMetrics] #

ToJSON ModelMetrics Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelMetrics

Methods

toJSON :: ModelMetrics -> Value #

toEncoding :: ModelMetrics -> Encoding #

toJSONList :: [ModelMetrics] -> Value #

toEncodingList :: [ModelMetrics] -> Encoding #

Generic ModelMetrics Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelMetrics

Associated Types

type Rep ModelMetrics :: Type -> Type #

Methods

from :: ModelMetrics -> Rep ModelMetrics x #

to :: Rep ModelMetrics x -> ModelMetrics #

Read ModelMetrics Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelMetrics

Methods

readsPrec :: Int -> ReadS ModelMetrics #

readList :: ReadS [ModelMetrics] #

readPrec :: ReadPrec ModelMetrics #

readListPrec :: ReadPrec [ModelMetrics] #

Show ModelMetrics Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelMetrics

Methods

showsPrec :: Int -> ModelMetrics -> ShowS #

show :: ModelMetrics -> String #

showList :: [ModelMetrics] -> ShowS #

NFData ModelMetrics Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelMetrics

Methods

rnf :: ModelMetrics -> () #

Eq ModelMetrics Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelMetrics

Methods

(==) :: ModelMetrics -> ModelMetrics -> Bool #

(/=) :: ModelMetrics -> ModelMetrics -> Bool #

Hashable ModelMetrics Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelMetrics

Methods

hashWithSalt :: Int -> ModelMetrics -> Int #

hash :: ModelMetrics -> Int #

type Rep ModelMetrics Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelMetrics

type Rep ModelMetrics = D1 ('MetaData "ModelMetrics" "Amazonka.SageMaker.Types.ModelMetrics" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "ModelMetrics'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "bias") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Bias)) :*: S1 ('MetaSel ('Just "explainability") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Explainability))) :*: (S1 ('MetaSel ('Just "modelDataQuality") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ModelDataQuality)) :*: S1 ('MetaSel ('Just "modelQuality") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ModelQuality)))))

newModelMetrics :: ModelMetrics Source #

Create a value of ModelMetrics with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:bias:ModelMetrics', modelMetrics_bias - Metrics that measure bais in a model.

$sel:explainability:ModelMetrics', modelMetrics_explainability - Metrics that help explain a model.

$sel:modelDataQuality:ModelMetrics', modelMetrics_modelDataQuality - Metrics that measure the quality of the input data for a model.

$sel:modelQuality:ModelMetrics', modelMetrics_modelQuality - Metrics that measure the quality of a model.

modelMetrics_bias :: Lens' ModelMetrics (Maybe Bias) Source #

Metrics that measure bais in a model.

modelMetrics_explainability :: Lens' ModelMetrics (Maybe Explainability) Source #

Metrics that help explain a model.

modelMetrics_modelDataQuality :: Lens' ModelMetrics (Maybe ModelDataQuality) Source #

Metrics that measure the quality of the input data for a model.

modelMetrics_modelQuality :: Lens' ModelMetrics (Maybe ModelQuality) Source #

Metrics that measure the quality of a model.

ModelPackage

data ModelPackage Source #

A versioned model that can be deployed for SageMaker inference.

See: newModelPackage smart constructor.

Constructors

ModelPackage' 

Fields

Instances

Instances details
FromJSON ModelPackage Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelPackage

Methods

parseJSON :: Value -> Parser ModelPackage #

parseJSONList :: Value -> Parser [ModelPackage] #

Generic ModelPackage Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelPackage

Associated Types

type Rep ModelPackage :: Type -> Type #

Methods

from :: ModelPackage -> Rep ModelPackage x #

to :: Rep ModelPackage x -> ModelPackage #

Read ModelPackage Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelPackage

Methods

readsPrec :: Int -> ReadS ModelPackage #

readList :: ReadS [ModelPackage] #

readPrec :: ReadPrec ModelPackage #

readListPrec :: ReadPrec [ModelPackage] #

Show ModelPackage Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelPackage

Methods

showsPrec :: Int -> ModelPackage -> ShowS #

show :: ModelPackage -> String #

showList :: [ModelPackage] -> ShowS #

NFData ModelPackage Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelPackage

Methods

rnf :: ModelPackage -> () #

Eq ModelPackage Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelPackage

Methods

(==) :: ModelPackage -> ModelPackage -> Bool #

(/=) :: ModelPackage -> ModelPackage -> Bool #

Hashable ModelPackage Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelPackage

Methods

hashWithSalt :: Int -> ModelPackage -> Int #

hash :: ModelPackage -> Int #

type Rep ModelPackage Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelPackage

type Rep ModelPackage = D1 ('MetaData "ModelPackage" "Amazonka.SageMaker.Types.ModelPackage" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "ModelPackage'" 'PrefixI 'True) ((((S1 ('MetaSel ('Just "additionalInferenceSpecifications") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe (NonEmpty AdditionalInferenceSpecificationDefinition))) :*: (S1 ('MetaSel ('Just "approvalDescription") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "certifyForMarketplace") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Bool)))) :*: (S1 ('MetaSel ('Just "createdBy") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe UserContext)) :*: (S1 ('MetaSel ('Just "creationTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :*: S1 ('MetaSel ('Just "customerMetadataProperties") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe (HashMap Text Text)))))) :*: ((S1 ('MetaSel ('Just "domain") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: (S1 ('MetaSel ('Just "driftCheckBaselines") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe DriftCheckBaselines)) :*: S1 ('MetaSel ('Just "inferenceSpecification") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe InferenceSpecification)))) :*: ((S1 ('MetaSel ('Just "lastModifiedBy") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe UserContext)) :*: S1 ('MetaSel ('Just "lastModifiedTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX))) :*: (S1 ('MetaSel ('Just "metadataProperties") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe MetadataProperties)) :*: S1 ('MetaSel ('Just "modelApprovalStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ModelApprovalStatus)))))) :*: (((S1 ('MetaSel ('Just "modelMetrics") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ModelMetrics)) :*: (S1 ('MetaSel ('Just "modelPackageArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "modelPackageDescription") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))) :*: (S1 ('MetaSel ('Just "modelPackageGroupName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: (S1 ('MetaSel ('Just "modelPackageName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "modelPackageStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ModelPackageStatus))))) :*: ((S1 ('MetaSel ('Just "modelPackageStatusDetails") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ModelPackageStatusDetails)) :*: (S1 ('MetaSel ('Just "modelPackageVersion") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural)) :*: S1 ('MetaSel ('Just "samplePayloadUrl") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))) :*: ((S1 ('MetaSel ('Just "sourceAlgorithmSpecification") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe SourceAlgorithmSpecification)) :*: S1 ('MetaSel ('Just "tags") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [Tag]))) :*: (S1 ('MetaSel ('Just "task") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "validationSpecification") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ModelPackageValidationSpecification))))))))

newModelPackage :: ModelPackage Source #

Create a value of ModelPackage with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:additionalInferenceSpecifications:ModelPackage', modelPackage_additionalInferenceSpecifications - An array of additional Inference Specification objects.

$sel:approvalDescription:ModelPackage', modelPackage_approvalDescription - A description provided when the model approval is set.

$sel:certifyForMarketplace:ModelPackage', modelPackage_certifyForMarketplace - Whether the model package is to be certified to be listed on Amazon Web Services Marketplace. For information about listing model packages on Amazon Web Services Marketplace, see List Your Algorithm or Model Package on Amazon Web Services Marketplace.

$sel:createdBy:ModelPackage', modelPackage_createdBy - Information about the user who created or modified an experiment, trial, trial component, lineage group, or project.

$sel:creationTime:ModelPackage', modelPackage_creationTime - The time that the model package was created.

$sel:customerMetadataProperties:ModelPackage', modelPackage_customerMetadataProperties - The metadata properties for the model package.

$sel:domain:ModelPackage', modelPackage_domain - The machine learning domain of your model package and its components. Common machine learning domains include computer vision and natural language processing.

$sel:driftCheckBaselines:ModelPackage', modelPackage_driftCheckBaselines - Represents the drift check baselines that can be used when the model monitor is set using the model package.

$sel:inferenceSpecification:ModelPackage', modelPackage_inferenceSpecification - Defines how to perform inference generation after a training job is run.

$sel:lastModifiedBy:ModelPackage', modelPackage_lastModifiedBy - Information about the user who created or modified an experiment, trial, trial component, lineage group, or project.

$sel:lastModifiedTime:ModelPackage', modelPackage_lastModifiedTime - The last time the model package was modified.

$sel:metadataProperties:ModelPackage', modelPackage_metadataProperties - Metadata properties of the tracking entity, trial, or trial component.

$sel:modelApprovalStatus:ModelPackage', modelPackage_modelApprovalStatus - The approval status of the model. This can be one of the following values.

  • APPROVED - The model is approved
  • REJECTED - The model is rejected.
  • PENDING_MANUAL_APPROVAL - The model is waiting for manual approval.

$sel:modelMetrics:ModelPackage', modelPackage_modelMetrics - Metrics for the model.

$sel:modelPackageArn:ModelPackage', modelPackage_modelPackageArn - The Amazon Resource Name (ARN) of the model package.

$sel:modelPackageDescription:ModelPackage', modelPackage_modelPackageDescription - The description of the model package.

$sel:modelPackageGroupName:ModelPackage', modelPackage_modelPackageGroupName - The model group to which the model belongs.

$sel:modelPackageName:ModelPackage', modelPackage_modelPackageName - The name of the model.

$sel:modelPackageStatus:ModelPackage', modelPackage_modelPackageStatus - The status of the model package. This can be one of the following values.

  • PENDING - The model package is pending being created.
  • IN_PROGRESS - The model package is in the process of being created.
  • COMPLETED - The model package was successfully created.
  • FAILED - The model package failed.
  • DELETING - The model package is in the process of being deleted.

$sel:modelPackageStatusDetails:ModelPackage', modelPackage_modelPackageStatusDetails - Specifies the validation and image scan statuses of the model package.

$sel:modelPackageVersion:ModelPackage', modelPackage_modelPackageVersion - The version number of a versioned model.

$sel:samplePayloadUrl:ModelPackage', modelPackage_samplePayloadUrl - The Amazon Simple Storage Service path where the sample payload are stored. This path must point to a single gzip compressed tar archive (.tar.gz suffix).

$sel:sourceAlgorithmSpecification:ModelPackage', modelPackage_sourceAlgorithmSpecification - A list of algorithms that were used to create a model package.

$sel:tags:ModelPackage', modelPackage_tags - A list of the tags associated with the model package. For more information, see Tagging Amazon Web Services resources in the Amazon Web Services General Reference Guide.

$sel:task:ModelPackage', modelPackage_task - The machine learning task your model package accomplishes. Common machine learning tasks include object detection and image classification.

$sel:validationSpecification:ModelPackage', modelPackage_validationSpecification - Specifies batch transform jobs that SageMaker runs to validate your model package.

modelPackage_additionalInferenceSpecifications :: Lens' ModelPackage (Maybe (NonEmpty AdditionalInferenceSpecificationDefinition)) Source #

An array of additional Inference Specification objects.

modelPackage_approvalDescription :: Lens' ModelPackage (Maybe Text) Source #

A description provided when the model approval is set.

modelPackage_certifyForMarketplace :: Lens' ModelPackage (Maybe Bool) Source #

Whether the model package is to be certified to be listed on Amazon Web Services Marketplace. For information about listing model packages on Amazon Web Services Marketplace, see List Your Algorithm or Model Package on Amazon Web Services Marketplace.

modelPackage_createdBy :: Lens' ModelPackage (Maybe UserContext) Source #

Information about the user who created or modified an experiment, trial, trial component, lineage group, or project.

modelPackage_creationTime :: Lens' ModelPackage (Maybe UTCTime) Source #

The time that the model package was created.

modelPackage_customerMetadataProperties :: Lens' ModelPackage (Maybe (HashMap Text Text)) Source #

The metadata properties for the model package.

modelPackage_domain :: Lens' ModelPackage (Maybe Text) Source #

The machine learning domain of your model package and its components. Common machine learning domains include computer vision and natural language processing.

modelPackage_driftCheckBaselines :: Lens' ModelPackage (Maybe DriftCheckBaselines) Source #

Represents the drift check baselines that can be used when the model monitor is set using the model package.

modelPackage_inferenceSpecification :: Lens' ModelPackage (Maybe InferenceSpecification) Source #

Defines how to perform inference generation after a training job is run.

modelPackage_lastModifiedBy :: Lens' ModelPackage (Maybe UserContext) Source #

Information about the user who created or modified an experiment, trial, trial component, lineage group, or project.

modelPackage_lastModifiedTime :: Lens' ModelPackage (Maybe UTCTime) Source #

The last time the model package was modified.

modelPackage_metadataProperties :: Lens' ModelPackage (Maybe MetadataProperties) Source #

Metadata properties of the tracking entity, trial, or trial component.

modelPackage_modelApprovalStatus :: Lens' ModelPackage (Maybe ModelApprovalStatus) Source #

The approval status of the model. This can be one of the following values.

  • APPROVED - The model is approved
  • REJECTED - The model is rejected.
  • PENDING_MANUAL_APPROVAL - The model is waiting for manual approval.

modelPackage_modelMetrics :: Lens' ModelPackage (Maybe ModelMetrics) Source #

Metrics for the model.

modelPackage_modelPackageArn :: Lens' ModelPackage (Maybe Text) Source #

The Amazon Resource Name (ARN) of the model package.

modelPackage_modelPackageDescription :: Lens' ModelPackage (Maybe Text) Source #

The description of the model package.

modelPackage_modelPackageGroupName :: Lens' ModelPackage (Maybe Text) Source #

The model group to which the model belongs.

modelPackage_modelPackageName :: Lens' ModelPackage (Maybe Text) Source #

The name of the model.

modelPackage_modelPackageStatus :: Lens' ModelPackage (Maybe ModelPackageStatus) Source #

The status of the model package. This can be one of the following values.

  • PENDING - The model package is pending being created.
  • IN_PROGRESS - The model package is in the process of being created.
  • COMPLETED - The model package was successfully created.
  • FAILED - The model package failed.
  • DELETING - The model package is in the process of being deleted.

modelPackage_modelPackageStatusDetails :: Lens' ModelPackage (Maybe ModelPackageStatusDetails) Source #

Specifies the validation and image scan statuses of the model package.

modelPackage_modelPackageVersion :: Lens' ModelPackage (Maybe Natural) Source #

The version number of a versioned model.

modelPackage_samplePayloadUrl :: Lens' ModelPackage (Maybe Text) Source #

The Amazon Simple Storage Service path where the sample payload are stored. This path must point to a single gzip compressed tar archive (.tar.gz suffix).

modelPackage_sourceAlgorithmSpecification :: Lens' ModelPackage (Maybe SourceAlgorithmSpecification) Source #

A list of algorithms that were used to create a model package.

modelPackage_tags :: Lens' ModelPackage (Maybe [Tag]) Source #

A list of the tags associated with the model package. For more information, see Tagging Amazon Web Services resources in the Amazon Web Services General Reference Guide.

modelPackage_task :: Lens' ModelPackage (Maybe Text) Source #

The machine learning task your model package accomplishes. Common machine learning tasks include object detection and image classification.

modelPackage_validationSpecification :: Lens' ModelPackage (Maybe ModelPackageValidationSpecification) Source #

Specifies batch transform jobs that SageMaker runs to validate your model package.

ModelPackageContainerDefinition

data ModelPackageContainerDefinition Source #

Describes the Docker container for the model package.

See: newModelPackageContainerDefinition smart constructor.

Constructors

ModelPackageContainerDefinition' 

Fields

  • containerHostname :: Maybe Text

    The DNS host name for the Docker container.

  • environment :: Maybe (HashMap Text Text)

    The environment variables to set in the Docker container. Each key and value in the Environment string to string map can have length of up to 1024. We support up to 16 entries in the map.

  • framework :: Maybe Text

    The machine learning framework of the model package container image.

  • frameworkVersion :: Maybe Text

    The framework version of the Model Package Container Image.

  • imageDigest :: Maybe Text

    An MD5 hash of the training algorithm that identifies the Docker image used for training.

  • modelDataUrl :: Maybe Text

    The Amazon S3 path where the model artifacts, which result from model training, are stored. This path must point to a single gzip compressed tar archive (.tar.gz suffix).

    The model artifacts must be in an S3 bucket that is in the same region as the model package.

  • modelInput :: Maybe ModelInput

    A structure with Model Input details.

  • nearestModelName :: Maybe Text

    The name of a pre-trained machine learning benchmarked by Amazon SageMaker Inference Recommender model that matches your model. You can find a list of benchmarked models by calling ListModelMetadata.

  • productId :: Maybe Text

    The Amazon Web Services Marketplace product ID of the model package.

  • image :: Text

    The Amazon EC2 Container Registry (Amazon ECR) path where inference code is stored.

    If you are using your own custom algorithm instead of an algorithm provided by SageMaker, the inference code must meet SageMaker requirements. SageMaker supports both registry/repository[:tag] and registry/repository[@digest] image path formats. For more information, see Using Your Own Algorithms with Amazon SageMaker.

Instances

Instances details
FromJSON ModelPackageContainerDefinition Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelPackageContainerDefinition

Methods

parseJSON :: Value -> Parser ModelPackageContainerDefinition #

parseJSONList :: Value -> Parser [ModelPackageContainerDefinition] #

ToJSON ModelPackageContainerDefinition Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelPackageContainerDefinition

Methods

toJSON :: ModelPackageContainerDefinition -> Value #

toEncoding :: ModelPackageContainerDefinition -> Encoding #

toJSONList :: [ModelPackageContainerDefinition] -> Value #

toEncodingList :: [ModelPackageContainerDefinition] -> Encoding #

Generic ModelPackageContainerDefinition Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelPackageContainerDefinition

Associated Types

type Rep ModelPackageContainerDefinition :: Type -> Type #

Methods

from :: ModelPackageContainerDefinition -> Rep ModelPackageContainerDefinition x #

to :: Rep ModelPackageContainerDefinition x -> ModelPackageContainerDefinition #

Read ModelPackageContainerDefinition Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelPackageContainerDefinition

Methods

readsPrec :: Int -> ReadS ModelPackageContainerDefinition #

readList :: ReadS [ModelPackageContainerDefinition] #

readPrec :: ReadPrec ModelPackageContainerDefinition #

readListPrec :: ReadPrec [ModelPackageContainerDefinition] #

Show ModelPackageContainerDefinition Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelPackageContainerDefinition

Methods

showsPrec :: Int -> ModelPackageContainerDefinition -> ShowS #

show :: ModelPackageContainerDefinition -> String #

showList :: [ModelPackageContainerDefinition] -> ShowS #

NFData ModelPackageContainerDefinition Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelPackageContainerDefinition

Methods

rnf :: ModelPackageContainerDefinition -> () #

Eq ModelPackageContainerDefinition Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelPackageContainerDefinition

Methods

(==) :: ModelPackageContainerDefinition -> ModelPackageContainerDefinition -> Bool #

(/=) :: ModelPackageContainerDefinition -> ModelPackageContainerDefinition -> Bool #

Hashable ModelPackageContainerDefinition Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelPackageContainerDefinition

Methods

hashWithSalt :: Int -> ModelPackageContainerDefinition -> Int #

hash :: ModelPackageContainerDefinition -> Int #

type Rep ModelPackageContainerDefinition Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelPackageContainerDefinition

type Rep ModelPackageContainerDefinition = D1 ('MetaData "ModelPackageContainerDefinition" "Amazonka.SageMaker.Types.ModelPackageContainerDefinition" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "ModelPackageContainerDefinition'" 'PrefixI 'True) (((S1 ('MetaSel ('Just "containerHostname") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "environment") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe (HashMap Text Text)))) :*: (S1 ('MetaSel ('Just "framework") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: (S1 ('MetaSel ('Just "frameworkVersion") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "imageDigest") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))) :*: ((S1 ('MetaSel ('Just "modelDataUrl") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "modelInput") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ModelInput))) :*: (S1 ('MetaSel ('Just "nearestModelName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: (S1 ('MetaSel ('Just "productId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "image") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text))))))

newModelPackageContainerDefinition Source #

Arguments

:: Text

$sel:image:ModelPackageContainerDefinition'

-> ModelPackageContainerDefinition 

Create a value of ModelPackageContainerDefinition with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:containerHostname:ModelPackageContainerDefinition', modelPackageContainerDefinition_containerHostname - The DNS host name for the Docker container.

$sel:environment:ModelPackageContainerDefinition', modelPackageContainerDefinition_environment - The environment variables to set in the Docker container. Each key and value in the Environment string to string map can have length of up to 1024. We support up to 16 entries in the map.

$sel:framework:ModelPackageContainerDefinition', modelPackageContainerDefinition_framework - The machine learning framework of the model package container image.

$sel:frameworkVersion:ModelPackageContainerDefinition', modelPackageContainerDefinition_frameworkVersion - The framework version of the Model Package Container Image.

$sel:imageDigest:ModelPackageContainerDefinition', modelPackageContainerDefinition_imageDigest - An MD5 hash of the training algorithm that identifies the Docker image used for training.

$sel:modelDataUrl:ModelPackageContainerDefinition', modelPackageContainerDefinition_modelDataUrl - The Amazon S3 path where the model artifacts, which result from model training, are stored. This path must point to a single gzip compressed tar archive (.tar.gz suffix).

The model artifacts must be in an S3 bucket that is in the same region as the model package.

$sel:modelInput:ModelPackageContainerDefinition', modelPackageContainerDefinition_modelInput - A structure with Model Input details.

$sel:nearestModelName:ModelPackageContainerDefinition', modelPackageContainerDefinition_nearestModelName - The name of a pre-trained machine learning benchmarked by Amazon SageMaker Inference Recommender model that matches your model. You can find a list of benchmarked models by calling ListModelMetadata.

$sel:productId:ModelPackageContainerDefinition', modelPackageContainerDefinition_productId - The Amazon Web Services Marketplace product ID of the model package.

$sel:image:ModelPackageContainerDefinition', modelPackageContainerDefinition_image - The Amazon EC2 Container Registry (Amazon ECR) path where inference code is stored.

If you are using your own custom algorithm instead of an algorithm provided by SageMaker, the inference code must meet SageMaker requirements. SageMaker supports both registry/repository[:tag] and registry/repository[@digest] image path formats. For more information, see Using Your Own Algorithms with Amazon SageMaker.

modelPackageContainerDefinition_containerHostname :: Lens' ModelPackageContainerDefinition (Maybe Text) Source #

The DNS host name for the Docker container.

modelPackageContainerDefinition_environment :: Lens' ModelPackageContainerDefinition (Maybe (HashMap Text Text)) Source #

The environment variables to set in the Docker container. Each key and value in the Environment string to string map can have length of up to 1024. We support up to 16 entries in the map.

modelPackageContainerDefinition_framework :: Lens' ModelPackageContainerDefinition (Maybe Text) Source #

The machine learning framework of the model package container image.

modelPackageContainerDefinition_frameworkVersion :: Lens' ModelPackageContainerDefinition (Maybe Text) Source #

The framework version of the Model Package Container Image.

modelPackageContainerDefinition_imageDigest :: Lens' ModelPackageContainerDefinition (Maybe Text) Source #

An MD5 hash of the training algorithm that identifies the Docker image used for training.

modelPackageContainerDefinition_modelDataUrl :: Lens' ModelPackageContainerDefinition (Maybe Text) Source #

The Amazon S3 path where the model artifacts, which result from model training, are stored. This path must point to a single gzip compressed tar archive (.tar.gz suffix).

The model artifacts must be in an S3 bucket that is in the same region as the model package.

modelPackageContainerDefinition_modelInput :: Lens' ModelPackageContainerDefinition (Maybe ModelInput) Source #

A structure with Model Input details.

modelPackageContainerDefinition_nearestModelName :: Lens' ModelPackageContainerDefinition (Maybe Text) Source #

The name of a pre-trained machine learning benchmarked by Amazon SageMaker Inference Recommender model that matches your model. You can find a list of benchmarked models by calling ListModelMetadata.

modelPackageContainerDefinition_productId :: Lens' ModelPackageContainerDefinition (Maybe Text) Source #

The Amazon Web Services Marketplace product ID of the model package.

modelPackageContainerDefinition_image :: Lens' ModelPackageContainerDefinition Text Source #

The Amazon EC2 Container Registry (Amazon ECR) path where inference code is stored.

If you are using your own custom algorithm instead of an algorithm provided by SageMaker, the inference code must meet SageMaker requirements. SageMaker supports both registry/repository[:tag] and registry/repository[@digest] image path formats. For more information, see Using Your Own Algorithms with Amazon SageMaker.

ModelPackageGroup

data ModelPackageGroup Source #

A group of versioned models in the model registry.

See: newModelPackageGroup smart constructor.

Constructors

ModelPackageGroup' 

Fields

Instances

Instances details
FromJSON ModelPackageGroup Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelPackageGroup

Methods

parseJSON :: Value -> Parser ModelPackageGroup #

parseJSONList :: Value -> Parser [ModelPackageGroup] #

Generic ModelPackageGroup Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelPackageGroup

Associated Types

type Rep ModelPackageGroup :: Type -> Type #

Methods

from :: ModelPackageGroup -> Rep ModelPackageGroup x #

to :: Rep ModelPackageGroup x -> ModelPackageGroup #

Read ModelPackageGroup Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelPackageGroup

Methods

readsPrec :: Int -> ReadS ModelPackageGroup #

readList :: ReadS [ModelPackageGroup] #

readPrec :: ReadPrec ModelPackageGroup #

readListPrec :: ReadPrec [ModelPackageGroup] #

Show ModelPackageGroup Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelPackageGroup

Methods

showsPrec :: Int -> ModelPackageGroup -> ShowS #

show :: ModelPackageGroup -> String #

showList :: [ModelPackageGroup] -> ShowS #

NFData ModelPackageGroup Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelPackageGroup

Methods

rnf :: ModelPackageGroup -> () #

Eq ModelPackageGroup Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelPackageGroup

Methods

(==) :: ModelPackageGroup -> ModelPackageGroup -> Bool #

(/=) :: ModelPackageGroup -> ModelPackageGroup -> Bool #

Hashable ModelPackageGroup Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelPackageGroup

Methods

hashWithSalt :: Int -> ModelPackageGroup -> Int #

hash :: ModelPackageGroup -> Int #

type Rep ModelPackageGroup Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelPackageGroup

type Rep ModelPackageGroup = D1 ('MetaData "ModelPackageGroup" "Amazonka.SageMaker.Types.ModelPackageGroup" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "ModelPackageGroup'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "createdBy") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe UserContext)) :*: (S1 ('MetaSel ('Just "creationTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :*: S1 ('MetaSel ('Just "modelPackageGroupArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))) :*: ((S1 ('MetaSel ('Just "modelPackageGroupDescription") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "modelPackageGroupName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))) :*: (S1 ('MetaSel ('Just "modelPackageGroupStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ModelPackageGroupStatus)) :*: S1 ('MetaSel ('Just "tags") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [Tag]))))))

newModelPackageGroup :: ModelPackageGroup Source #

Create a value of ModelPackageGroup with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:createdBy:ModelPackageGroup', modelPackageGroup_createdBy - Undocumented member.

$sel:creationTime:ModelPackageGroup', modelPackageGroup_creationTime - The time that the model group was created.

$sel:modelPackageGroupArn:ModelPackageGroup', modelPackageGroup_modelPackageGroupArn - The Amazon Resource Name (ARN) of the model group.

$sel:modelPackageGroupDescription:ModelPackageGroup', modelPackageGroup_modelPackageGroupDescription - The description for the model group.

$sel:modelPackageGroupName:ModelPackageGroup', modelPackageGroup_modelPackageGroupName - The name of the model group.

$sel:modelPackageGroupStatus:ModelPackageGroup', modelPackageGroup_modelPackageGroupStatus - The status of the model group. This can be one of the following values.

  • PENDING - The model group is pending being created.
  • IN_PROGRESS - The model group is in the process of being created.
  • COMPLETED - The model group was successfully created.
  • FAILED - The model group failed.
  • DELETING - The model group is in the process of being deleted.
  • DELETE_FAILED - SageMaker failed to delete the model group.

$sel:tags:ModelPackageGroup', modelPackageGroup_tags - A list of the tags associated with the model group. For more information, see Tagging Amazon Web Services resources in the Amazon Web Services General Reference Guide.

modelPackageGroup_createdBy :: Lens' ModelPackageGroup (Maybe UserContext) Source #

Undocumented member.

modelPackageGroup_creationTime :: Lens' ModelPackageGroup (Maybe UTCTime) Source #

The time that the model group was created.

modelPackageGroup_modelPackageGroupArn :: Lens' ModelPackageGroup (Maybe Text) Source #

The Amazon Resource Name (ARN) of the model group.

modelPackageGroup_modelPackageGroupDescription :: Lens' ModelPackageGroup (Maybe Text) Source #

The description for the model group.

modelPackageGroup_modelPackageGroupName :: Lens' ModelPackageGroup (Maybe Text) Source #

The name of the model group.

modelPackageGroup_modelPackageGroupStatus :: Lens' ModelPackageGroup (Maybe ModelPackageGroupStatus) Source #

The status of the model group. This can be one of the following values.

  • PENDING - The model group is pending being created.
  • IN_PROGRESS - The model group is in the process of being created.
  • COMPLETED - The model group was successfully created.
  • FAILED - The model group failed.
  • DELETING - The model group is in the process of being deleted.
  • DELETE_FAILED - SageMaker failed to delete the model group.

modelPackageGroup_tags :: Lens' ModelPackageGroup (Maybe [Tag]) Source #

A list of the tags associated with the model group. For more information, see Tagging Amazon Web Services resources in the Amazon Web Services General Reference Guide.

ModelPackageGroupSummary

data ModelPackageGroupSummary Source #

Summary information about a model group.

See: newModelPackageGroupSummary smart constructor.

Constructors

ModelPackageGroupSummary' 

Fields

Instances

Instances details
FromJSON ModelPackageGroupSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelPackageGroupSummary

Methods

parseJSON :: Value -> Parser ModelPackageGroupSummary #

parseJSONList :: Value -> Parser [ModelPackageGroupSummary] #

Generic ModelPackageGroupSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelPackageGroupSummary

Associated Types

type Rep ModelPackageGroupSummary :: Type -> Type #

Methods

from :: ModelPackageGroupSummary -> Rep ModelPackageGroupSummary x #

to :: Rep ModelPackageGroupSummary x -> ModelPackageGroupSummary #

Read ModelPackageGroupSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelPackageGroupSummary

Methods

readsPrec :: Int -> ReadS ModelPackageGroupSummary #

readList :: ReadS [ModelPackageGroupSummary] #

readPrec :: ReadPrec ModelPackageGroupSummary #

readListPrec :: ReadPrec [ModelPackageGroupSummary] #

Show ModelPackageGroupSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelPackageGroupSummary

Methods

showsPrec :: Int -> ModelPackageGroupSummary -> ShowS #

show :: ModelPackageGroupSummary -> String #

showList :: [ModelPackageGroupSummary] -> ShowS #

NFData ModelPackageGroupSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelPackageGroupSummary

Methods

rnf :: ModelPackageGroupSummary -> () #

Eq ModelPackageGroupSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelPackageGroupSummary

Methods

(==) :: ModelPackageGroupSummary -> ModelPackageGroupSummary -> Bool #

(/=) :: ModelPackageGroupSummary -> ModelPackageGroupSummary -> Bool #

Hashable ModelPackageGroupSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelPackageGroupSummary

Methods

hashWithSalt :: Int -> ModelPackageGroupSummary -> Int #

hash :: ModelPackageGroupSummary -> Int #

type Rep ModelPackageGroupSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelPackageGroupSummary

type Rep ModelPackageGroupSummary = D1 ('MetaData "ModelPackageGroupSummary" "Amazonka.SageMaker.Types.ModelPackageGroupSummary" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "ModelPackageGroupSummary'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "modelPackageGroupDescription") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "modelPackageGroupName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)) :*: (S1 ('MetaSel ('Just "modelPackageGroupArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: (S1 ('MetaSel ('Just "creationTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 POSIX) :*: S1 ('MetaSel ('Just "modelPackageGroupStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 ModelPackageGroupStatus)))))

newModelPackageGroupSummary Source #

Arguments

:: Text

$sel:modelPackageGroupName:ModelPackageGroupSummary'

-> Text

$sel:modelPackageGroupArn:ModelPackageGroupSummary'

-> UTCTime

$sel:creationTime:ModelPackageGroupSummary'

-> ModelPackageGroupStatus

$sel:modelPackageGroupStatus:ModelPackageGroupSummary'

-> ModelPackageGroupSummary 

Create a value of ModelPackageGroupSummary with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:modelPackageGroupDescription:ModelPackageGroupSummary', modelPackageGroupSummary_modelPackageGroupDescription - A description of the model group.

$sel:modelPackageGroupName:ModelPackageGroupSummary', modelPackageGroupSummary_modelPackageGroupName - The name of the model group.

$sel:modelPackageGroupArn:ModelPackageGroupSummary', modelPackageGroupSummary_modelPackageGroupArn - The Amazon Resource Name (ARN) of the model group.

$sel:creationTime:ModelPackageGroupSummary', modelPackageGroupSummary_creationTime - The time that the model group was created.

$sel:modelPackageGroupStatus:ModelPackageGroupSummary', modelPackageGroupSummary_modelPackageGroupStatus - The status of the model group.

modelPackageGroupSummary_modelPackageGroupDescription :: Lens' ModelPackageGroupSummary (Maybe Text) Source #

A description of the model group.

modelPackageGroupSummary_modelPackageGroupName :: Lens' ModelPackageGroupSummary Text Source #

The name of the model group.

modelPackageGroupSummary_modelPackageGroupArn :: Lens' ModelPackageGroupSummary Text Source #

The Amazon Resource Name (ARN) of the model group.

modelPackageGroupSummary_creationTime :: Lens' ModelPackageGroupSummary UTCTime Source #

The time that the model group was created.

modelPackageGroupSummary_modelPackageGroupStatus :: Lens' ModelPackageGroupSummary ModelPackageGroupStatus Source #

The status of the model group.

ModelPackageStatusDetails

data ModelPackageStatusDetails Source #

Specifies the validation and image scan statuses of the model package.

See: newModelPackageStatusDetails smart constructor.

Constructors

ModelPackageStatusDetails' 

Fields

Instances

Instances details
FromJSON ModelPackageStatusDetails Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelPackageStatusDetails

Methods

parseJSON :: Value -> Parser ModelPackageStatusDetails #

parseJSONList :: Value -> Parser [ModelPackageStatusDetails] #

Generic ModelPackageStatusDetails Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelPackageStatusDetails

Associated Types

type Rep ModelPackageStatusDetails :: Type -> Type #

Methods

from :: ModelPackageStatusDetails -> Rep ModelPackageStatusDetails x #

to :: Rep ModelPackageStatusDetails x -> ModelPackageStatusDetails #

Read ModelPackageStatusDetails Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelPackageStatusDetails

Methods

readsPrec :: Int -> ReadS ModelPackageStatusDetails #

readList :: ReadS [ModelPackageStatusDetails] #

readPrec :: ReadPrec ModelPackageStatusDetails #

readListPrec :: ReadPrec [ModelPackageStatusDetails] #

Show ModelPackageStatusDetails Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelPackageStatusDetails

Methods

showsPrec :: Int -> ModelPackageStatusDetails -> ShowS #

show :: ModelPackageStatusDetails -> String #

showList :: [ModelPackageStatusDetails] -> ShowS #

NFData ModelPackageStatusDetails Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelPackageStatusDetails

Methods

rnf :: ModelPackageStatusDetails -> () #

Eq ModelPackageStatusDetails Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelPackageStatusDetails

Methods

(==) :: ModelPackageStatusDetails -> ModelPackageStatusDetails -> Bool #

(/=) :: ModelPackageStatusDetails -> ModelPackageStatusDetails -> Bool #

Hashable ModelPackageStatusDetails Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelPackageStatusDetails

Methods

hashWithSalt :: Int -> ModelPackageStatusDetails -> Int #

hash :: ModelPackageStatusDetails -> Int #

type Rep ModelPackageStatusDetails Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelPackageStatusDetails

type Rep ModelPackageStatusDetails = D1 ('MetaData "ModelPackageStatusDetails" "Amazonka.SageMaker.Types.ModelPackageStatusDetails" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "ModelPackageStatusDetails'" 'PrefixI 'True) (S1 ('MetaSel ('Just "imageScanStatuses") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [ModelPackageStatusItem])) :*: S1 ('MetaSel ('Just "validationStatuses") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 [ModelPackageStatusItem])))

newModelPackageStatusDetails :: ModelPackageStatusDetails Source #

Create a value of ModelPackageStatusDetails with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:imageScanStatuses:ModelPackageStatusDetails', modelPackageStatusDetails_imageScanStatuses - The status of the scan of the Docker image container for the model package.

$sel:validationStatuses:ModelPackageStatusDetails', modelPackageStatusDetails_validationStatuses - The validation status of the model package.

modelPackageStatusDetails_imageScanStatuses :: Lens' ModelPackageStatusDetails (Maybe [ModelPackageStatusItem]) Source #

The status of the scan of the Docker image container for the model package.

modelPackageStatusDetails_validationStatuses :: Lens' ModelPackageStatusDetails [ModelPackageStatusItem] Source #

The validation status of the model package.

ModelPackageStatusItem

data ModelPackageStatusItem Source #

Represents the overall status of a model package.

See: newModelPackageStatusItem smart constructor.

Constructors

ModelPackageStatusItem' 

Fields

Instances

Instances details
FromJSON ModelPackageStatusItem Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelPackageStatusItem

Methods

parseJSON :: Value -> Parser ModelPackageStatusItem #

parseJSONList :: Value -> Parser [ModelPackageStatusItem] #

Generic ModelPackageStatusItem Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelPackageStatusItem

Associated Types

type Rep ModelPackageStatusItem :: Type -> Type #

Methods

from :: ModelPackageStatusItem -> Rep ModelPackageStatusItem x #

to :: Rep ModelPackageStatusItem x -> ModelPackageStatusItem #

Read ModelPackageStatusItem Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelPackageStatusItem

Methods

readsPrec :: Int -> ReadS ModelPackageStatusItem #

readList :: ReadS [ModelPackageStatusItem] #

readPrec :: ReadPrec ModelPackageStatusItem #

readListPrec :: ReadPrec [ModelPackageStatusItem] #

Show ModelPackageStatusItem Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelPackageStatusItem

Methods

showsPrec :: Int -> ModelPackageStatusItem -> ShowS #

show :: ModelPackageStatusItem -> String #

showList :: [ModelPackageStatusItem] -> ShowS #

NFData ModelPackageStatusItem Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelPackageStatusItem

Methods

rnf :: ModelPackageStatusItem -> () #

Eq ModelPackageStatusItem Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelPackageStatusItem

Methods

(==) :: ModelPackageStatusItem -> ModelPackageStatusItem -> Bool #

(/=) :: ModelPackageStatusItem -> ModelPackageStatusItem -> Bool #

Hashable ModelPackageStatusItem Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelPackageStatusItem

Methods

hashWithSalt :: Int -> ModelPackageStatusItem -> Int #

hash :: ModelPackageStatusItem -> Int #

type Rep ModelPackageStatusItem Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelPackageStatusItem

type Rep ModelPackageStatusItem = D1 ('MetaData "ModelPackageStatusItem" "Amazonka.SageMaker.Types.ModelPackageStatusItem" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "ModelPackageStatusItem'" 'PrefixI 'True) (S1 ('MetaSel ('Just "failureReason") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: (S1 ('MetaSel ('Just "name") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: S1 ('MetaSel ('Just "status") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 DetailedModelPackageStatus))))

newModelPackageStatusItem Source #

Arguments

:: Text

$sel:name:ModelPackageStatusItem'

-> DetailedModelPackageStatus

$sel:status:ModelPackageStatusItem'

-> ModelPackageStatusItem 

Create a value of ModelPackageStatusItem with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:failureReason:ModelPackageStatusItem', modelPackageStatusItem_failureReason - if the overall status is Failed, the reason for the failure.

$sel:name:ModelPackageStatusItem', modelPackageStatusItem_name - The name of the model package for which the overall status is being reported.

$sel:status:ModelPackageStatusItem', modelPackageStatusItem_status - The current status.

modelPackageStatusItem_failureReason :: Lens' ModelPackageStatusItem (Maybe Text) Source #

if the overall status is Failed, the reason for the failure.

modelPackageStatusItem_name :: Lens' ModelPackageStatusItem Text Source #

The name of the model package for which the overall status is being reported.

modelPackageStatusItem_status :: Lens' ModelPackageStatusItem DetailedModelPackageStatus Source #

The current status.

ModelPackageSummary

data ModelPackageSummary Source #

Provides summary information about a model package.

See: newModelPackageSummary smart constructor.

Constructors

ModelPackageSummary' 

Fields

Instances

Instances details
FromJSON ModelPackageSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelPackageSummary

Methods

parseJSON :: Value -> Parser ModelPackageSummary #

parseJSONList :: Value -> Parser [ModelPackageSummary] #

Generic ModelPackageSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelPackageSummary

Associated Types

type Rep ModelPackageSummary :: Type -> Type #

Methods

from :: ModelPackageSummary -> Rep ModelPackageSummary x #

to :: Rep ModelPackageSummary x -> ModelPackageSummary #

Read ModelPackageSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelPackageSummary

Methods

readsPrec :: Int -> ReadS ModelPackageSummary #

readList :: ReadS [ModelPackageSummary] #

readPrec :: ReadPrec ModelPackageSummary #

readListPrec :: ReadPrec [ModelPackageSummary] #

Show ModelPackageSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelPackageSummary

Methods

showsPrec :: Int -> ModelPackageSummary -> ShowS #

show :: ModelPackageSummary -> String #

showList :: [ModelPackageSummary] -> ShowS #

NFData ModelPackageSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelPackageSummary

Methods

rnf :: ModelPackageSummary -> () #

Eq ModelPackageSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelPackageSummary

Methods

(==) :: ModelPackageSummary -> ModelPackageSummary -> Bool #

(/=) :: ModelPackageSummary -> ModelPackageSummary -> Bool #

Hashable ModelPackageSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelPackageSummary

Methods

hashWithSalt :: Int -> ModelPackageSummary -> Int #

hash :: ModelPackageSummary -> Int #

type Rep ModelPackageSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelPackageSummary

type Rep ModelPackageSummary = D1 ('MetaData "ModelPackageSummary" "Amazonka.SageMaker.Types.ModelPackageSummary" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "ModelPackageSummary'" 'PrefixI 'True) (((S1 ('MetaSel ('Just "modelApprovalStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ModelApprovalStatus)) :*: S1 ('MetaSel ('Just "modelPackageDescription") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))) :*: (S1 ('MetaSel ('Just "modelPackageGroupName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "modelPackageVersion") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural)))) :*: ((S1 ('MetaSel ('Just "modelPackageName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: S1 ('MetaSel ('Just "modelPackageArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)) :*: (S1 ('MetaSel ('Just "creationTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 POSIX) :*: S1 ('MetaSel ('Just "modelPackageStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 ModelPackageStatus)))))

newModelPackageSummary Source #

Arguments

:: Text

$sel:modelPackageName:ModelPackageSummary'

-> Text

$sel:modelPackageArn:ModelPackageSummary'

-> UTCTime

$sel:creationTime:ModelPackageSummary'

-> ModelPackageStatus

$sel:modelPackageStatus:ModelPackageSummary'

-> ModelPackageSummary 

Create a value of ModelPackageSummary with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:modelApprovalStatus:ModelPackageSummary', modelPackageSummary_modelApprovalStatus - The approval status of the model. This can be one of the following values.

  • APPROVED - The model is approved
  • REJECTED - The model is rejected.
  • PENDING_MANUAL_APPROVAL - The model is waiting for manual approval.

$sel:modelPackageDescription:ModelPackageSummary', modelPackageSummary_modelPackageDescription - A brief description of the model package.

$sel:modelPackageGroupName:ModelPackageSummary', modelPackageSummary_modelPackageGroupName - If the model package is a versioned model, the model group that the versioned model belongs to.

$sel:modelPackageVersion:ModelPackageSummary', modelPackageSummary_modelPackageVersion - If the model package is a versioned model, the version of the model.

$sel:modelPackageName:ModelPackageSummary', modelPackageSummary_modelPackageName - The name of the model package.

$sel:modelPackageArn:ModelPackageSummary', modelPackageSummary_modelPackageArn - The Amazon Resource Name (ARN) of the model package.

$sel:creationTime:ModelPackageSummary', modelPackageSummary_creationTime - A timestamp that shows when the model package was created.

$sel:modelPackageStatus:ModelPackageSummary', modelPackageSummary_modelPackageStatus - The overall status of the model package.

modelPackageSummary_modelApprovalStatus :: Lens' ModelPackageSummary (Maybe ModelApprovalStatus) Source #

The approval status of the model. This can be one of the following values.

  • APPROVED - The model is approved
  • REJECTED - The model is rejected.
  • PENDING_MANUAL_APPROVAL - The model is waiting for manual approval.

modelPackageSummary_modelPackageDescription :: Lens' ModelPackageSummary (Maybe Text) Source #

A brief description of the model package.

modelPackageSummary_modelPackageGroupName :: Lens' ModelPackageSummary (Maybe Text) Source #

If the model package is a versioned model, the model group that the versioned model belongs to.

modelPackageSummary_modelPackageVersion :: Lens' ModelPackageSummary (Maybe Natural) Source #

If the model package is a versioned model, the version of the model.

modelPackageSummary_modelPackageName :: Lens' ModelPackageSummary Text Source #

The name of the model package.

modelPackageSummary_modelPackageArn :: Lens' ModelPackageSummary Text Source #

The Amazon Resource Name (ARN) of the model package.

modelPackageSummary_creationTime :: Lens' ModelPackageSummary UTCTime Source #

A timestamp that shows when the model package was created.

modelPackageSummary_modelPackageStatus :: Lens' ModelPackageSummary ModelPackageStatus Source #

The overall status of the model package.

ModelPackageValidationProfile

data ModelPackageValidationProfile Source #

Contains data, such as the inputs and targeted instance types that are used in the process of validating the model package.

The data provided in the validation profile is made available to your buyers on Amazon Web Services Marketplace.

See: newModelPackageValidationProfile smart constructor.

Constructors

ModelPackageValidationProfile' 

Fields

Instances

Instances details
FromJSON ModelPackageValidationProfile Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelPackageValidationProfile

Methods

parseJSON :: Value -> Parser ModelPackageValidationProfile #

parseJSONList :: Value -> Parser [ModelPackageValidationProfile] #

ToJSON ModelPackageValidationProfile Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelPackageValidationProfile

Methods

toJSON :: ModelPackageValidationProfile -> Value #

toEncoding :: ModelPackageValidationProfile -> Encoding #

toJSONList :: [ModelPackageValidationProfile] -> Value #

toEncodingList :: [ModelPackageValidationProfile] -> Encoding #

Generic ModelPackageValidationProfile Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelPackageValidationProfile

Associated Types

type Rep ModelPackageValidationProfile :: Type -> Type #

Methods

from :: ModelPackageValidationProfile -> Rep ModelPackageValidationProfile x #

to :: Rep ModelPackageValidationProfile x -> ModelPackageValidationProfile #

Read ModelPackageValidationProfile Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelPackageValidationProfile

Methods

readsPrec :: Int -> ReadS ModelPackageValidationProfile #

readList :: ReadS [ModelPackageValidationProfile] #

readPrec :: ReadPrec ModelPackageValidationProfile #

readListPrec :: ReadPrec [ModelPackageValidationProfile] #

Show ModelPackageValidationProfile Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelPackageValidationProfile

Methods

showsPrec :: Int -> ModelPackageValidationProfile -> ShowS #

show :: ModelPackageValidationProfile -> String #

showList :: [ModelPackageValidationProfile] -> ShowS #

NFData ModelPackageValidationProfile Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelPackageValidationProfile

Methods

rnf :: ModelPackageValidationProfile -> () #

Eq ModelPackageValidationProfile Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelPackageValidationProfile

Methods

(==) :: ModelPackageValidationProfile -> ModelPackageValidationProfile -> Bool #

(/=) :: ModelPackageValidationProfile -> ModelPackageValidationProfile -> Bool #

Hashable ModelPackageValidationProfile Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelPackageValidationProfile

Methods

hashWithSalt :: Int -> ModelPackageValidationProfile -> Int #

hash :: ModelPackageValidationProfile -> Int #

type Rep ModelPackageValidationProfile Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelPackageValidationProfile

type Rep ModelPackageValidationProfile = D1 ('MetaData "ModelPackageValidationProfile" "Amazonka.SageMaker.Types.ModelPackageValidationProfile" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "ModelPackageValidationProfile'" 'PrefixI 'True) (S1 ('MetaSel ('Just "profileName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: S1 ('MetaSel ('Just "transformJobDefinition") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 TransformJobDefinition)))

newModelPackageValidationProfile Source #

Arguments

:: Text

$sel:profileName:ModelPackageValidationProfile'

-> TransformJobDefinition

$sel:transformJobDefinition:ModelPackageValidationProfile'

-> ModelPackageValidationProfile 

Create a value of ModelPackageValidationProfile with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:profileName:ModelPackageValidationProfile', modelPackageValidationProfile_profileName - The name of the profile for the model package.

$sel:transformJobDefinition:ModelPackageValidationProfile', modelPackageValidationProfile_transformJobDefinition - The TransformJobDefinition object that describes the transform job used for the validation of the model package.

modelPackageValidationProfile_profileName :: Lens' ModelPackageValidationProfile Text Source #

The name of the profile for the model package.

modelPackageValidationProfile_transformJobDefinition :: Lens' ModelPackageValidationProfile TransformJobDefinition Source #

The TransformJobDefinition object that describes the transform job used for the validation of the model package.

ModelPackageValidationSpecification

data ModelPackageValidationSpecification Source #

Specifies batch transform jobs that SageMaker runs to validate your model package.

See: newModelPackageValidationSpecification smart constructor.

Constructors

ModelPackageValidationSpecification' 

Fields

Instances

Instances details
FromJSON ModelPackageValidationSpecification Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelPackageValidationSpecification

Methods

parseJSON :: Value -> Parser ModelPackageValidationSpecification #

parseJSONList :: Value -> Parser [ModelPackageValidationSpecification] #

ToJSON ModelPackageValidationSpecification Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelPackageValidationSpecification

Methods

toJSON :: ModelPackageValidationSpecification -> Value #

toEncoding :: ModelPackageValidationSpecification -> Encoding #

toJSONList :: [ModelPackageValidationSpecification] -> Value #

toEncodingList :: [ModelPackageValidationSpecification] -> Encoding #

Generic ModelPackageValidationSpecification Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelPackageValidationSpecification

Associated Types

type Rep ModelPackageValidationSpecification :: Type -> Type #

Methods

from :: ModelPackageValidationSpecification -> Rep ModelPackageValidationSpecification x #

to :: Rep ModelPackageValidationSpecification x -> ModelPackageValidationSpecification #

Read ModelPackageValidationSpecification Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelPackageValidationSpecification

Methods

readsPrec :: Int -> ReadS ModelPackageValidationSpecification #

readList :: ReadS [ModelPackageValidationSpecification] #

readPrec :: ReadPrec ModelPackageValidationSpecification #

readListPrec :: ReadPrec [ModelPackageValidationSpecification] #

Show ModelPackageValidationSpecification Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelPackageValidationSpecification

Methods

showsPrec :: Int -> ModelPackageValidationSpecification -> ShowS #

show :: ModelPackageValidationSpecification -> String #

showList :: [ModelPackageValidationSpecification] -> ShowS #

NFData ModelPackageValidationSpecification Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelPackageValidationSpecification

Methods

rnf :: ModelPackageValidationSpecification -> () #

Eq ModelPackageValidationSpecification Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelPackageValidationSpecification

Methods

(==) :: ModelPackageValidationSpecification -> ModelPackageValidationSpecification -> Bool #

(/=) :: ModelPackageValidationSpecification -> ModelPackageValidationSpecification -> Bool #

Hashable ModelPackageValidationSpecification Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelPackageValidationSpecification

Methods

hashWithSalt :: Int -> ModelPackageValidationSpecification -> Int #

hash :: ModelPackageValidationSpecification -> Int #

type Rep ModelPackageValidationSpecification Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelPackageValidationSpecification

type Rep ModelPackageValidationSpecification = D1 ('MetaData "ModelPackageValidationSpecification" "Amazonka.SageMaker.Types.ModelPackageValidationSpecification" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "ModelPackageValidationSpecification'" 'PrefixI 'True) (S1 ('MetaSel ('Just "validationRole") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: S1 ('MetaSel ('Just "validationProfiles") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (NonEmpty ModelPackageValidationProfile))))

newModelPackageValidationSpecification Source #

Arguments

:: Text

$sel:validationRole:ModelPackageValidationSpecification'

-> NonEmpty ModelPackageValidationProfile

$sel:validationProfiles:ModelPackageValidationSpecification'

-> ModelPackageValidationSpecification 

Create a value of ModelPackageValidationSpecification with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:validationRole:ModelPackageValidationSpecification', modelPackageValidationSpecification_validationRole - The IAM roles to be used for the validation of the model package.

$sel:validationProfiles:ModelPackageValidationSpecification', modelPackageValidationSpecification_validationProfiles - An array of ModelPackageValidationProfile objects, each of which specifies a batch transform job that SageMaker runs to validate your model package.

modelPackageValidationSpecification_validationRole :: Lens' ModelPackageValidationSpecification Text Source #

The IAM roles to be used for the validation of the model package.

modelPackageValidationSpecification_validationProfiles :: Lens' ModelPackageValidationSpecification (NonEmpty ModelPackageValidationProfile) Source #

An array of ModelPackageValidationProfile objects, each of which specifies a batch transform job that SageMaker runs to validate your model package.

ModelQuality

data ModelQuality Source #

Model quality statistics and constraints.

See: newModelQuality smart constructor.

Constructors

ModelQuality' 

Fields

Instances

Instances details
FromJSON ModelQuality Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelQuality

Methods

parseJSON :: Value -> Parser ModelQuality #

parseJSONList :: Value -> Parser [ModelQuality] #

ToJSON ModelQuality Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelQuality

Methods

toJSON :: ModelQuality -> Value #

toEncoding :: ModelQuality -> Encoding #

toJSONList :: [ModelQuality] -> Value #

toEncodingList :: [ModelQuality] -> Encoding #

Generic ModelQuality Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelQuality

Associated Types

type Rep ModelQuality :: Type -> Type #

Methods

from :: ModelQuality -> Rep ModelQuality x #

to :: Rep ModelQuality x -> ModelQuality #

Read ModelQuality Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelQuality

Methods

readsPrec :: Int -> ReadS ModelQuality #

readList :: ReadS [ModelQuality] #

readPrec :: ReadPrec ModelQuality #

readListPrec :: ReadPrec [ModelQuality] #

Show ModelQuality Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelQuality

Methods

showsPrec :: Int -> ModelQuality -> ShowS #

show :: ModelQuality -> String #

showList :: [ModelQuality] -> ShowS #

NFData ModelQuality Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelQuality

Methods

rnf :: ModelQuality -> () #

Eq ModelQuality Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelQuality

Methods

(==) :: ModelQuality -> ModelQuality -> Bool #

(/=) :: ModelQuality -> ModelQuality -> Bool #

Hashable ModelQuality Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelQuality

Methods

hashWithSalt :: Int -> ModelQuality -> Int #

hash :: ModelQuality -> Int #

type Rep ModelQuality Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelQuality

type Rep ModelQuality = D1 ('MetaData "ModelQuality" "Amazonka.SageMaker.Types.ModelQuality" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "ModelQuality'" 'PrefixI 'True) (S1 ('MetaSel ('Just "constraints") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe MetricsSource)) :*: S1 ('MetaSel ('Just "statistics") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe MetricsSource))))

newModelQuality :: ModelQuality Source #

Create a value of ModelQuality with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:constraints:ModelQuality', modelQuality_constraints - Model quality constraints.

$sel:statistics:ModelQuality', modelQuality_statistics - Model quality statistics.

modelQuality_constraints :: Lens' ModelQuality (Maybe MetricsSource) Source #

Model quality constraints.

modelQuality_statistics :: Lens' ModelQuality (Maybe MetricsSource) Source #

Model quality statistics.

ModelQualityAppSpecification

data ModelQualityAppSpecification Source #

Container image configuration object for the monitoring job.

See: newModelQualityAppSpecification smart constructor.

Constructors

ModelQualityAppSpecification' 

Fields

Instances

Instances details
FromJSON ModelQualityAppSpecification Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelQualityAppSpecification

Methods

parseJSON :: Value -> Parser ModelQualityAppSpecification #

parseJSONList :: Value -> Parser [ModelQualityAppSpecification] #

ToJSON ModelQualityAppSpecification Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelQualityAppSpecification

Methods

toJSON :: ModelQualityAppSpecification -> Value #

toEncoding :: ModelQualityAppSpecification -> Encoding #

toJSONList :: [ModelQualityAppSpecification] -> Value #

toEncodingList :: [ModelQualityAppSpecification] -> Encoding #

Generic ModelQualityAppSpecification Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelQualityAppSpecification

Associated Types

type Rep ModelQualityAppSpecification :: Type -> Type #

Methods

from :: ModelQualityAppSpecification -> Rep ModelQualityAppSpecification x #

to :: Rep ModelQualityAppSpecification x -> ModelQualityAppSpecification #

Read ModelQualityAppSpecification Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelQualityAppSpecification

Methods

readsPrec :: Int -> ReadS ModelQualityAppSpecification #

readList :: ReadS [ModelQualityAppSpecification] #

readPrec :: ReadPrec ModelQualityAppSpecification #

readListPrec :: ReadPrec [ModelQualityAppSpecification] #

Show ModelQualityAppSpecification Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelQualityAppSpecification

Methods

showsPrec :: Int -> ModelQualityAppSpecification -> ShowS #

show :: ModelQualityAppSpecification -> String #

showList :: [ModelQualityAppSpecification] -> ShowS #

NFData ModelQualityAppSpecification Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelQualityAppSpecification

Methods

rnf :: ModelQualityAppSpecification -> () #

Eq ModelQualityAppSpecification Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelQualityAppSpecification

Methods

(==) :: ModelQualityAppSpecification -> ModelQualityAppSpecification -> Bool #

(/=) :: ModelQualityAppSpecification -> ModelQualityAppSpecification -> Bool #

Hashable ModelQualityAppSpecification Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelQualityAppSpecification

Methods

hashWithSalt :: Int -> ModelQualityAppSpecification -> Int #

hash :: ModelQualityAppSpecification -> Int #

type Rep ModelQualityAppSpecification Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelQualityAppSpecification

type Rep ModelQualityAppSpecification = D1 ('MetaData "ModelQualityAppSpecification" "Amazonka.SageMaker.Types.ModelQualityAppSpecification" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "ModelQualityAppSpecification'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "containerArguments") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe (NonEmpty Text))) :*: (S1 ('MetaSel ('Just "containerEntrypoint") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe (NonEmpty Text))) :*: S1 ('MetaSel ('Just "environment") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe (HashMap Text Text))))) :*: ((S1 ('MetaSel ('Just "postAnalyticsProcessorSourceUri") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "problemType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe MonitoringProblemType))) :*: (S1 ('MetaSel ('Just "recordPreprocessorSourceUri") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "imageUri") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))))

newModelQualityAppSpecification Source #

Arguments

:: Text

$sel:imageUri:ModelQualityAppSpecification'

-> ModelQualityAppSpecification 

Create a value of ModelQualityAppSpecification with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:containerArguments:ModelQualityAppSpecification', modelQualityAppSpecification_containerArguments - An array of arguments for the container used to run the monitoring job.

$sel:containerEntrypoint:ModelQualityAppSpecification', modelQualityAppSpecification_containerEntrypoint - Specifies the entrypoint for a container that the monitoring job runs.

$sel:environment:ModelQualityAppSpecification', modelQualityAppSpecification_environment - Sets the environment variables in the container that the monitoring job runs.

$sel:postAnalyticsProcessorSourceUri:ModelQualityAppSpecification', modelQualityAppSpecification_postAnalyticsProcessorSourceUri - An Amazon S3 URI to a script that is called after analysis has been performed. Applicable only for the built-in (first party) containers.

$sel:problemType:ModelQualityAppSpecification', modelQualityAppSpecification_problemType - The machine learning problem type of the model that the monitoring job monitors.

$sel:recordPreprocessorSourceUri:ModelQualityAppSpecification', modelQualityAppSpecification_recordPreprocessorSourceUri - An Amazon S3 URI to a script that is called per row prior to running analysis. It can base64 decode the payload and convert it into a flatted json so that the built-in container can use the converted data. Applicable only for the built-in (first party) containers.

$sel:imageUri:ModelQualityAppSpecification', modelQualityAppSpecification_imageUri - The address of the container image that the monitoring job runs.

modelQualityAppSpecification_containerArguments :: Lens' ModelQualityAppSpecification (Maybe (NonEmpty Text)) Source #

An array of arguments for the container used to run the monitoring job.

modelQualityAppSpecification_containerEntrypoint :: Lens' ModelQualityAppSpecification (Maybe (NonEmpty Text)) Source #

Specifies the entrypoint for a container that the monitoring job runs.

modelQualityAppSpecification_environment :: Lens' ModelQualityAppSpecification (Maybe (HashMap Text Text)) Source #

Sets the environment variables in the container that the monitoring job runs.

modelQualityAppSpecification_postAnalyticsProcessorSourceUri :: Lens' ModelQualityAppSpecification (Maybe Text) Source #

An Amazon S3 URI to a script that is called after analysis has been performed. Applicable only for the built-in (first party) containers.

modelQualityAppSpecification_problemType :: Lens' ModelQualityAppSpecification (Maybe MonitoringProblemType) Source #

The machine learning problem type of the model that the monitoring job monitors.

modelQualityAppSpecification_recordPreprocessorSourceUri :: Lens' ModelQualityAppSpecification (Maybe Text) Source #

An Amazon S3 URI to a script that is called per row prior to running analysis. It can base64 decode the payload and convert it into a flatted json so that the built-in container can use the converted data. Applicable only for the built-in (first party) containers.

modelQualityAppSpecification_imageUri :: Lens' ModelQualityAppSpecification Text Source #

The address of the container image that the monitoring job runs.

ModelQualityBaselineConfig

data ModelQualityBaselineConfig Source #

Configuration for monitoring constraints and monitoring statistics. These baseline resources are compared against the results of the current job from the series of jobs scheduled to collect data periodically.

See: newModelQualityBaselineConfig smart constructor.

Constructors

ModelQualityBaselineConfig' 

Fields

Instances

Instances details
FromJSON ModelQualityBaselineConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelQualityBaselineConfig

Methods

parseJSON :: Value -> Parser ModelQualityBaselineConfig #

parseJSONList :: Value -> Parser [ModelQualityBaselineConfig] #

ToJSON ModelQualityBaselineConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelQualityBaselineConfig

Methods

toJSON :: ModelQualityBaselineConfig -> Value #

toEncoding :: ModelQualityBaselineConfig -> Encoding #

toJSONList :: [ModelQualityBaselineConfig] -> Value #

toEncodingList :: [ModelQualityBaselineConfig] -> Encoding #

Generic ModelQualityBaselineConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelQualityBaselineConfig

Associated Types

type Rep ModelQualityBaselineConfig :: Type -> Type #

Methods

from :: ModelQualityBaselineConfig -> Rep ModelQualityBaselineConfig x #

to :: Rep ModelQualityBaselineConfig x -> ModelQualityBaselineConfig #

Read ModelQualityBaselineConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelQualityBaselineConfig

Methods

readsPrec :: Int -> ReadS ModelQualityBaselineConfig #

readList :: ReadS [ModelQualityBaselineConfig] #

readPrec :: ReadPrec ModelQualityBaselineConfig #

readListPrec :: ReadPrec [ModelQualityBaselineConfig] #

Show ModelQualityBaselineConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelQualityBaselineConfig

Methods

showsPrec :: Int -> ModelQualityBaselineConfig -> ShowS #

show :: ModelQualityBaselineConfig -> String #

showList :: [ModelQualityBaselineConfig] -> ShowS #

NFData ModelQualityBaselineConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelQualityBaselineConfig

Methods

rnf :: ModelQualityBaselineConfig -> () #

Eq ModelQualityBaselineConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelQualityBaselineConfig

Methods

(==) :: ModelQualityBaselineConfig -> ModelQualityBaselineConfig -> Bool #

(/=) :: ModelQualityBaselineConfig -> ModelQualityBaselineConfig -> Bool #

Hashable ModelQualityBaselineConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelQualityBaselineConfig

Methods

hashWithSalt :: Int -> ModelQualityBaselineConfig -> Int #

hash :: ModelQualityBaselineConfig -> Int #

type Rep ModelQualityBaselineConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelQualityBaselineConfig

type Rep ModelQualityBaselineConfig = D1 ('MetaData "ModelQualityBaselineConfig" "Amazonka.SageMaker.Types.ModelQualityBaselineConfig" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "ModelQualityBaselineConfig'" 'PrefixI 'True) (S1 ('MetaSel ('Just "baseliningJobName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "constraintsResource") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe MonitoringConstraintsResource))))

newModelQualityBaselineConfig :: ModelQualityBaselineConfig Source #

Create a value of ModelQualityBaselineConfig with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:baseliningJobName:ModelQualityBaselineConfig', modelQualityBaselineConfig_baseliningJobName - The name of the job that performs baselining for the monitoring job.

$sel:constraintsResource:ModelQualityBaselineConfig', modelQualityBaselineConfig_constraintsResource - Undocumented member.

modelQualityBaselineConfig_baseliningJobName :: Lens' ModelQualityBaselineConfig (Maybe Text) Source #

The name of the job that performs baselining for the monitoring job.

modelQualityBaselineConfig_constraintsResource :: Lens' ModelQualityBaselineConfig (Maybe MonitoringConstraintsResource) Source #

Undocumented member.

ModelQualityJobInput

data ModelQualityJobInput Source #

The input for the model quality monitoring job. Currently endponts are supported for input for model quality monitoring jobs.

See: newModelQualityJobInput smart constructor.

Constructors

ModelQualityJobInput' 

Fields

Instances

Instances details
FromJSON ModelQualityJobInput Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelQualityJobInput

Methods

parseJSON :: Value -> Parser ModelQualityJobInput #

parseJSONList :: Value -> Parser [ModelQualityJobInput] #

ToJSON ModelQualityJobInput Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelQualityJobInput

Methods

toJSON :: ModelQualityJobInput -> Value #

toEncoding :: ModelQualityJobInput -> Encoding #

toJSONList :: [ModelQualityJobInput] -> Value #

toEncodingList :: [ModelQualityJobInput] -> Encoding #

Generic ModelQualityJobInput Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelQualityJobInput

Associated Types

type Rep ModelQualityJobInput :: Type -> Type #

Methods

from :: ModelQualityJobInput -> Rep ModelQualityJobInput x #

to :: Rep ModelQualityJobInput x -> ModelQualityJobInput #

Read ModelQualityJobInput Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelQualityJobInput

Methods

readsPrec :: Int -> ReadS ModelQualityJobInput #

readList :: ReadS [ModelQualityJobInput] #

readPrec :: ReadPrec ModelQualityJobInput #

readListPrec :: ReadPrec [ModelQualityJobInput] #

Show ModelQualityJobInput Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelQualityJobInput

Methods

showsPrec :: Int -> ModelQualityJobInput -> ShowS #

show :: ModelQualityJobInput -> String #

showList :: [ModelQualityJobInput] -> ShowS #

NFData ModelQualityJobInput Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelQualityJobInput

Methods

rnf :: ModelQualityJobInput -> () #

Eq ModelQualityJobInput Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelQualityJobInput

Methods

(==) :: ModelQualityJobInput -> ModelQualityJobInput -> Bool #

(/=) :: ModelQualityJobInput -> ModelQualityJobInput -> Bool #

Hashable ModelQualityJobInput Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelQualityJobInput

Methods

hashWithSalt :: Int -> ModelQualityJobInput -> Int #

hash :: ModelQualityJobInput -> Int #

type Rep ModelQualityJobInput Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelQualityJobInput

type Rep ModelQualityJobInput = D1 ('MetaData "ModelQualityJobInput" "Amazonka.SageMaker.Types.ModelQualityJobInput" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "ModelQualityJobInput'" 'PrefixI 'True) (S1 ('MetaSel ('Just "batchTransformInput") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe BatchTransformInput)) :*: (S1 ('MetaSel ('Just "endpointInput") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe EndpointInput)) :*: S1 ('MetaSel ('Just "groundTruthS3Input") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 MonitoringGroundTruthS3Input))))

newModelQualityJobInput Source #

Arguments

:: MonitoringGroundTruthS3Input

$sel:groundTruthS3Input:ModelQualityJobInput'

-> ModelQualityJobInput 

Create a value of ModelQualityJobInput with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:batchTransformInput:ModelQualityJobInput', modelQualityJobInput_batchTransformInput - Input object for the batch transform job.

$sel:endpointInput:ModelQualityJobInput', modelQualityJobInput_endpointInput - Undocumented member.

$sel:groundTruthS3Input:ModelQualityJobInput', modelQualityJobInput_groundTruthS3Input - The ground truth label provided for the model.

modelQualityJobInput_batchTransformInput :: Lens' ModelQualityJobInput (Maybe BatchTransformInput) Source #

Input object for the batch transform job.

modelQualityJobInput_endpointInput :: Lens' ModelQualityJobInput (Maybe EndpointInput) Source #

Undocumented member.

modelQualityJobInput_groundTruthS3Input :: Lens' ModelQualityJobInput MonitoringGroundTruthS3Input Source #

The ground truth label provided for the model.

ModelStepMetadata

data ModelStepMetadata Source #

Metadata for Model steps.

See: newModelStepMetadata smart constructor.

Constructors

ModelStepMetadata' 

Fields

  • arn :: Maybe Text

    The Amazon Resource Name (ARN) of the created model.

Instances

Instances details
FromJSON ModelStepMetadata Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelStepMetadata

Methods

parseJSON :: Value -> Parser ModelStepMetadata #

parseJSONList :: Value -> Parser [ModelStepMetadata] #

Generic ModelStepMetadata Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelStepMetadata

Associated Types

type Rep ModelStepMetadata :: Type -> Type #

Methods

from :: ModelStepMetadata -> Rep ModelStepMetadata x #

to :: Rep ModelStepMetadata x -> ModelStepMetadata #

Read ModelStepMetadata Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelStepMetadata

Methods

readsPrec :: Int -> ReadS ModelStepMetadata #

readList :: ReadS [ModelStepMetadata] #

readPrec :: ReadPrec ModelStepMetadata #

readListPrec :: ReadPrec [ModelStepMetadata] #

Show ModelStepMetadata Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelStepMetadata

Methods

showsPrec :: Int -> ModelStepMetadata -> ShowS #

show :: ModelStepMetadata -> String #

showList :: [ModelStepMetadata] -> ShowS #

NFData ModelStepMetadata Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelStepMetadata

Methods

rnf :: ModelStepMetadata -> () #

Eq ModelStepMetadata Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelStepMetadata

Methods

(==) :: ModelStepMetadata -> ModelStepMetadata -> Bool #

(/=) :: ModelStepMetadata -> ModelStepMetadata -> Bool #

Hashable ModelStepMetadata Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelStepMetadata

Methods

hashWithSalt :: Int -> ModelStepMetadata -> Int #

hash :: ModelStepMetadata -> Int #

type Rep ModelStepMetadata Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelStepMetadata

type Rep ModelStepMetadata = D1 ('MetaData "ModelStepMetadata" "Amazonka.SageMaker.Types.ModelStepMetadata" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "ModelStepMetadata'" 'PrefixI 'True) (S1 ('MetaSel ('Just "arn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))

newModelStepMetadata :: ModelStepMetadata Source #

Create a value of ModelStepMetadata with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:arn:ModelStepMetadata', modelStepMetadata_arn - The Amazon Resource Name (ARN) of the created model.

modelStepMetadata_arn :: Lens' ModelStepMetadata (Maybe Text) Source #

The Amazon Resource Name (ARN) of the created model.

ModelSummary

data ModelSummary Source #

Provides summary information about a model.

See: newModelSummary smart constructor.

Constructors

ModelSummary' 

Fields

Instances

Instances details
FromJSON ModelSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelSummary

Methods

parseJSON :: Value -> Parser ModelSummary #

parseJSONList :: Value -> Parser [ModelSummary] #

Generic ModelSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelSummary

Associated Types

type Rep ModelSummary :: Type -> Type #

Methods

from :: ModelSummary -> Rep ModelSummary x #

to :: Rep ModelSummary x -> ModelSummary #

Read ModelSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelSummary

Methods

readsPrec :: Int -> ReadS ModelSummary #

readList :: ReadS [ModelSummary] #

readPrec :: ReadPrec ModelSummary #

readListPrec :: ReadPrec [ModelSummary] #

Show ModelSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelSummary

Methods

showsPrec :: Int -> ModelSummary -> ShowS #

show :: ModelSummary -> String #

showList :: [ModelSummary] -> ShowS #

NFData ModelSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelSummary

Methods

rnf :: ModelSummary -> () #

Eq ModelSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelSummary

Methods

(==) :: ModelSummary -> ModelSummary -> Bool #

(/=) :: ModelSummary -> ModelSummary -> Bool #

Hashable ModelSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelSummary

Methods

hashWithSalt :: Int -> ModelSummary -> Int #

hash :: ModelSummary -> Int #

type Rep ModelSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelSummary

type Rep ModelSummary = D1 ('MetaData "ModelSummary" "Amazonka.SageMaker.Types.ModelSummary" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "ModelSummary'" 'PrefixI 'True) (S1 ('MetaSel ('Just "modelName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: (S1 ('MetaSel ('Just "modelArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: S1 ('MetaSel ('Just "creationTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 POSIX))))

newModelSummary Source #

Arguments

:: Text

$sel:modelName:ModelSummary'

-> Text

$sel:modelArn:ModelSummary'

-> UTCTime

$sel:creationTime:ModelSummary'

-> ModelSummary 

Create a value of ModelSummary with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:modelName:ModelSummary', modelSummary_modelName - The name of the model that you want a summary for.

$sel:modelArn:ModelSummary', modelSummary_modelArn - The Amazon Resource Name (ARN) of the model.

$sel:creationTime:ModelSummary', modelSummary_creationTime - A timestamp that indicates when the model was created.

modelSummary_modelName :: Lens' ModelSummary Text Source #

The name of the model that you want a summary for.

modelSummary_modelArn :: Lens' ModelSummary Text Source #

The Amazon Resource Name (ARN) of the model.

modelSummary_creationTime :: Lens' ModelSummary UTCTime Source #

A timestamp that indicates when the model was created.

ModelVariantConfig

data ModelVariantConfig Source #

Contains information about the deployment options of a model.

See: newModelVariantConfig smart constructor.

Constructors

ModelVariantConfig' 

Fields

Instances

Instances details
ToJSON ModelVariantConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelVariantConfig

Methods

toJSON :: ModelVariantConfig -> Value #

toEncoding :: ModelVariantConfig -> Encoding #

toJSONList :: [ModelVariantConfig] -> Value #

toEncodingList :: [ModelVariantConfig] -> Encoding #

Generic ModelVariantConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelVariantConfig

Associated Types

type Rep ModelVariantConfig :: Type -> Type #

Methods

from :: ModelVariantConfig -> Rep ModelVariantConfig x #

to :: Rep ModelVariantConfig x -> ModelVariantConfig #

Read ModelVariantConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelVariantConfig

Methods

readsPrec :: Int -> ReadS ModelVariantConfig #

readList :: ReadS [ModelVariantConfig] #

readPrec :: ReadPrec ModelVariantConfig #

readListPrec :: ReadPrec [ModelVariantConfig] #

Show ModelVariantConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelVariantConfig

Methods

showsPrec :: Int -> ModelVariantConfig -> ShowS #

show :: ModelVariantConfig -> String #

showList :: [ModelVariantConfig] -> ShowS #

NFData ModelVariantConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelVariantConfig

Methods

rnf :: ModelVariantConfig -> () #

Eq ModelVariantConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelVariantConfig

Methods

(==) :: ModelVariantConfig -> ModelVariantConfig -> Bool #

(/=) :: ModelVariantConfig -> ModelVariantConfig -> Bool #

Hashable ModelVariantConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelVariantConfig

Methods

hashWithSalt :: Int -> ModelVariantConfig -> Int #

hash :: ModelVariantConfig -> Int #

type Rep ModelVariantConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelVariantConfig

type Rep ModelVariantConfig = D1 ('MetaData "ModelVariantConfig" "Amazonka.SageMaker.Types.ModelVariantConfig" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "ModelVariantConfig'" 'PrefixI 'True) (S1 ('MetaSel ('Just "modelName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: (S1 ('MetaSel ('Just "variantName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: S1 ('MetaSel ('Just "infrastructureConfig") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 ModelInfrastructureConfig))))

newModelVariantConfig Source #

Arguments

:: Text

$sel:modelName:ModelVariantConfig'

-> Text

$sel:variantName:ModelVariantConfig'

-> ModelInfrastructureConfig

$sel:infrastructureConfig:ModelVariantConfig'

-> ModelVariantConfig 

Create a value of ModelVariantConfig with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:modelName:ModelVariantConfig', modelVariantConfig_modelName - The name of the Amazon SageMaker Model entity.

$sel:variantName:ModelVariantConfig', modelVariantConfig_variantName - The name of the variant.

$sel:infrastructureConfig:ModelVariantConfig', modelVariantConfig_infrastructureConfig - The configuration for the infrastructure that the model will be deployed to.

modelVariantConfig_modelName :: Lens' ModelVariantConfig Text Source #

The name of the Amazon SageMaker Model entity.

modelVariantConfig_variantName :: Lens' ModelVariantConfig Text Source #

The name of the variant.

modelVariantConfig_infrastructureConfig :: Lens' ModelVariantConfig ModelInfrastructureConfig Source #

The configuration for the infrastructure that the model will be deployed to.

ModelVariantConfigSummary

data ModelVariantConfigSummary Source #

Summary of the deployment configuration of a model.

See: newModelVariantConfigSummary smart constructor.

Constructors

ModelVariantConfigSummary' 

Fields

  • modelName :: Text

    The name of the Amazon SageMaker Model entity.

  • variantName :: Text

    The name of the variant.

  • infrastructureConfig :: ModelInfrastructureConfig

    The configuration of the infrastructure that the model has been deployed to.

  • status :: ModelVariantStatus

    The status of deployment for the model variant on the hosted inference endpoint.

    • Creating - Amazon SageMaker is preparing the model variant on the hosted inference endpoint.
    • InService - The model variant is running on the hosted inference endpoint.
    • Updating - Amazon SageMaker is updating the model variant on the hosted inference endpoint.
    • Deleting - Amazon SageMaker is deleting the model variant on the hosted inference endpoint.
    • Deleted - The model variant has been deleted on the hosted inference endpoint. This can only happen after stopping the experiment.

Instances

Instances details
FromJSON ModelVariantConfigSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelVariantConfigSummary

Methods

parseJSON :: Value -> Parser ModelVariantConfigSummary #

parseJSONList :: Value -> Parser [ModelVariantConfigSummary] #

Generic ModelVariantConfigSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelVariantConfigSummary

Associated Types

type Rep ModelVariantConfigSummary :: Type -> Type #

Methods

from :: ModelVariantConfigSummary -> Rep ModelVariantConfigSummary x #

to :: Rep ModelVariantConfigSummary x -> ModelVariantConfigSummary #

Read ModelVariantConfigSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelVariantConfigSummary

Methods

readsPrec :: Int -> ReadS ModelVariantConfigSummary #

readList :: ReadS [ModelVariantConfigSummary] #

readPrec :: ReadPrec ModelVariantConfigSummary #

readListPrec :: ReadPrec [ModelVariantConfigSummary] #

Show ModelVariantConfigSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelVariantConfigSummary

Methods

showsPrec :: Int -> ModelVariantConfigSummary -> ShowS #

show :: ModelVariantConfigSummary -> String #

showList :: [ModelVariantConfigSummary] -> ShowS #

NFData ModelVariantConfigSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelVariantConfigSummary

Methods

rnf :: ModelVariantConfigSummary -> () #

Eq ModelVariantConfigSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelVariantConfigSummary

Methods

(==) :: ModelVariantConfigSummary -> ModelVariantConfigSummary -> Bool #

(/=) :: ModelVariantConfigSummary -> ModelVariantConfigSummary -> Bool #

Hashable ModelVariantConfigSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelVariantConfigSummary

Methods

hashWithSalt :: Int -> ModelVariantConfigSummary -> Int #

hash :: ModelVariantConfigSummary -> Int #

type Rep ModelVariantConfigSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ModelVariantConfigSummary

type Rep ModelVariantConfigSummary = D1 ('MetaData "ModelVariantConfigSummary" "Amazonka.SageMaker.Types.ModelVariantConfigSummary" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "ModelVariantConfigSummary'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "modelName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: S1 ('MetaSel ('Just "variantName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)) :*: (S1 ('MetaSel ('Just "infrastructureConfig") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 ModelInfrastructureConfig) :*: S1 ('MetaSel ('Just "status") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 ModelVariantStatus))))

newModelVariantConfigSummary Source #

Arguments

:: Text

$sel:modelName:ModelVariantConfigSummary'

-> Text

$sel:variantName:ModelVariantConfigSummary'

-> ModelInfrastructureConfig

$sel:infrastructureConfig:ModelVariantConfigSummary'

-> ModelVariantStatus

$sel:status:ModelVariantConfigSummary'

-> ModelVariantConfigSummary 

Create a value of ModelVariantConfigSummary with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:modelName:ModelVariantConfigSummary', modelVariantConfigSummary_modelName - The name of the Amazon SageMaker Model entity.

$sel:variantName:ModelVariantConfigSummary', modelVariantConfigSummary_variantName - The name of the variant.

$sel:infrastructureConfig:ModelVariantConfigSummary', modelVariantConfigSummary_infrastructureConfig - The configuration of the infrastructure that the model has been deployed to.

$sel:status:ModelVariantConfigSummary', modelVariantConfigSummary_status - The status of deployment for the model variant on the hosted inference endpoint.

  • Creating - Amazon SageMaker is preparing the model variant on the hosted inference endpoint.
  • InService - The model variant is running on the hosted inference endpoint.
  • Updating - Amazon SageMaker is updating the model variant on the hosted inference endpoint.
  • Deleting - Amazon SageMaker is deleting the model variant on the hosted inference endpoint.
  • Deleted - The model variant has been deleted on the hosted inference endpoint. This can only happen after stopping the experiment.

modelVariantConfigSummary_modelName :: Lens' ModelVariantConfigSummary Text Source #

The name of the Amazon SageMaker Model entity.

modelVariantConfigSummary_variantName :: Lens' ModelVariantConfigSummary Text Source #

The name of the variant.

modelVariantConfigSummary_infrastructureConfig :: Lens' ModelVariantConfigSummary ModelInfrastructureConfig Source #

The configuration of the infrastructure that the model has been deployed to.

modelVariantConfigSummary_status :: Lens' ModelVariantConfigSummary ModelVariantStatus Source #

The status of deployment for the model variant on the hosted inference endpoint.

  • Creating - Amazon SageMaker is preparing the model variant on the hosted inference endpoint.
  • InService - The model variant is running on the hosted inference endpoint.
  • Updating - Amazon SageMaker is updating the model variant on the hosted inference endpoint.
  • Deleting - Amazon SageMaker is deleting the model variant on the hosted inference endpoint.
  • Deleted - The model variant has been deleted on the hosted inference endpoint. This can only happen after stopping the experiment.

MonitoringAlertActions

data MonitoringAlertActions Source #

A list of alert actions taken in response to an alert going into InAlert status.

See: newMonitoringAlertActions smart constructor.

Constructors

MonitoringAlertActions' 

Fields

Instances

Instances details
FromJSON MonitoringAlertActions Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringAlertActions

Methods

parseJSON :: Value -> Parser MonitoringAlertActions #

parseJSONList :: Value -> Parser [MonitoringAlertActions] #

Generic MonitoringAlertActions Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringAlertActions

Associated Types

type Rep MonitoringAlertActions :: Type -> Type #

Methods

from :: MonitoringAlertActions -> Rep MonitoringAlertActions x #

to :: Rep MonitoringAlertActions x -> MonitoringAlertActions #

Read MonitoringAlertActions Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringAlertActions

Methods

readsPrec :: Int -> ReadS MonitoringAlertActions #

readList :: ReadS [MonitoringAlertActions] #

readPrec :: ReadPrec MonitoringAlertActions #

readListPrec :: ReadPrec [MonitoringAlertActions] #

Show MonitoringAlertActions Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringAlertActions

Methods

showsPrec :: Int -> MonitoringAlertActions -> ShowS #

show :: MonitoringAlertActions -> String #

showList :: [MonitoringAlertActions] -> ShowS #

NFData MonitoringAlertActions Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringAlertActions

Methods

rnf :: MonitoringAlertActions -> () #

Eq MonitoringAlertActions Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringAlertActions

Methods

(==) :: MonitoringAlertActions -> MonitoringAlertActions -> Bool #

(/=) :: MonitoringAlertActions -> MonitoringAlertActions -> Bool #

Hashable MonitoringAlertActions Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringAlertActions

Methods

hashWithSalt :: Int -> MonitoringAlertActions -> Int #

hash :: MonitoringAlertActions -> Int #

type Rep MonitoringAlertActions Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringAlertActions

type Rep MonitoringAlertActions = D1 ('MetaData "MonitoringAlertActions" "Amazonka.SageMaker.Types.MonitoringAlertActions" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "MonitoringAlertActions'" 'PrefixI 'True) (S1 ('MetaSel ('Just "modelDashboardIndicator") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ModelDashboardIndicatorAction))))

newMonitoringAlertActions :: MonitoringAlertActions Source #

Create a value of MonitoringAlertActions with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:modelDashboardIndicator:MonitoringAlertActions', monitoringAlertActions_modelDashboardIndicator - An alert action taken to light up an icon on the Model Dashboard when an alert goes into InAlert status.

monitoringAlertActions_modelDashboardIndicator :: Lens' MonitoringAlertActions (Maybe ModelDashboardIndicatorAction) Source #

An alert action taken to light up an icon on the Model Dashboard when an alert goes into InAlert status.

MonitoringAlertHistorySummary

data MonitoringAlertHistorySummary Source #

Provides summary information of an alert's history.

See: newMonitoringAlertHistorySummary smart constructor.

Constructors

MonitoringAlertHistorySummary' 

Fields

Instances

Instances details
FromJSON MonitoringAlertHistorySummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringAlertHistorySummary

Methods

parseJSON :: Value -> Parser MonitoringAlertHistorySummary #

parseJSONList :: Value -> Parser [MonitoringAlertHistorySummary] #

Generic MonitoringAlertHistorySummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringAlertHistorySummary

Associated Types

type Rep MonitoringAlertHistorySummary :: Type -> Type #

Methods

from :: MonitoringAlertHistorySummary -> Rep MonitoringAlertHistorySummary x #

to :: Rep MonitoringAlertHistorySummary x -> MonitoringAlertHistorySummary #

Read MonitoringAlertHistorySummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringAlertHistorySummary

Methods

readsPrec :: Int -> ReadS MonitoringAlertHistorySummary #

readList :: ReadS [MonitoringAlertHistorySummary] #

readPrec :: ReadPrec MonitoringAlertHistorySummary #

readListPrec :: ReadPrec [MonitoringAlertHistorySummary] #

Show MonitoringAlertHistorySummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringAlertHistorySummary

Methods

showsPrec :: Int -> MonitoringAlertHistorySummary -> ShowS #

show :: MonitoringAlertHistorySummary -> String #

showList :: [MonitoringAlertHistorySummary] -> ShowS #

NFData MonitoringAlertHistorySummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringAlertHistorySummary

Methods

rnf :: MonitoringAlertHistorySummary -> () #

Eq MonitoringAlertHistorySummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringAlertHistorySummary

Methods

(==) :: MonitoringAlertHistorySummary -> MonitoringAlertHistorySummary -> Bool #

(/=) :: MonitoringAlertHistorySummary -> MonitoringAlertHistorySummary -> Bool #

Hashable MonitoringAlertHistorySummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringAlertHistorySummary

Methods

hashWithSalt :: Int -> MonitoringAlertHistorySummary -> Int #

hash :: MonitoringAlertHistorySummary -> Int #

type Rep MonitoringAlertHistorySummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringAlertHistorySummary

type Rep MonitoringAlertHistorySummary = D1 ('MetaData "MonitoringAlertHistorySummary" "Amazonka.SageMaker.Types.MonitoringAlertHistorySummary" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "MonitoringAlertHistorySummary'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "monitoringScheduleName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: S1 ('MetaSel ('Just "monitoringAlertName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)) :*: (S1 ('MetaSel ('Just "creationTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 POSIX) :*: S1 ('MetaSel ('Just "alertStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 MonitoringAlertStatus))))

newMonitoringAlertHistorySummary Source #

Arguments

:: Text

$sel:monitoringScheduleName:MonitoringAlertHistorySummary'

-> Text

$sel:monitoringAlertName:MonitoringAlertHistorySummary'

-> UTCTime

$sel:creationTime:MonitoringAlertHistorySummary'

-> MonitoringAlertStatus

$sel:alertStatus:MonitoringAlertHistorySummary'

-> MonitoringAlertHistorySummary 

Create a value of MonitoringAlertHistorySummary with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:monitoringScheduleName:MonitoringAlertHistorySummary', monitoringAlertHistorySummary_monitoringScheduleName - The name of a monitoring schedule.

$sel:monitoringAlertName:MonitoringAlertHistorySummary', monitoringAlertHistorySummary_monitoringAlertName - The name of a monitoring alert.

$sel:creationTime:MonitoringAlertHistorySummary', monitoringAlertHistorySummary_creationTime - A timestamp that indicates when the first alert transition occurred in an alert history. An alert transition can be from status InAlert to OK, or from OK to InAlert.

$sel:alertStatus:MonitoringAlertHistorySummary', monitoringAlertHistorySummary_alertStatus - The current alert status of an alert.

monitoringAlertHistorySummary_monitoringScheduleName :: Lens' MonitoringAlertHistorySummary Text Source #

The name of a monitoring schedule.

monitoringAlertHistorySummary_monitoringAlertName :: Lens' MonitoringAlertHistorySummary Text Source #

The name of a monitoring alert.

monitoringAlertHistorySummary_creationTime :: Lens' MonitoringAlertHistorySummary UTCTime Source #

A timestamp that indicates when the first alert transition occurred in an alert history. An alert transition can be from status InAlert to OK, or from OK to InAlert.

monitoringAlertHistorySummary_alertStatus :: Lens' MonitoringAlertHistorySummary MonitoringAlertStatus Source #

The current alert status of an alert.

MonitoringAlertSummary

data MonitoringAlertSummary Source #

Provides summary information about a monitor alert.

See: newMonitoringAlertSummary smart constructor.

Constructors

MonitoringAlertSummary' 

Fields

Instances

Instances details
FromJSON MonitoringAlertSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringAlertSummary

Methods

parseJSON :: Value -> Parser MonitoringAlertSummary #

parseJSONList :: Value -> Parser [MonitoringAlertSummary] #

Generic MonitoringAlertSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringAlertSummary

Associated Types

type Rep MonitoringAlertSummary :: Type -> Type #

Methods

from :: MonitoringAlertSummary -> Rep MonitoringAlertSummary x #

to :: Rep MonitoringAlertSummary x -> MonitoringAlertSummary #

Read MonitoringAlertSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringAlertSummary

Methods

readsPrec :: Int -> ReadS MonitoringAlertSummary #

readList :: ReadS [MonitoringAlertSummary] #

readPrec :: ReadPrec MonitoringAlertSummary #

readListPrec :: ReadPrec [MonitoringAlertSummary] #

Show MonitoringAlertSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringAlertSummary

Methods

showsPrec :: Int -> MonitoringAlertSummary -> ShowS #

show :: MonitoringAlertSummary -> String #

showList :: [MonitoringAlertSummary] -> ShowS #

NFData MonitoringAlertSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringAlertSummary

Methods

rnf :: MonitoringAlertSummary -> () #

Eq MonitoringAlertSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringAlertSummary

Methods

(==) :: MonitoringAlertSummary -> MonitoringAlertSummary -> Bool #

(/=) :: MonitoringAlertSummary -> MonitoringAlertSummary -> Bool #

Hashable MonitoringAlertSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringAlertSummary

Methods

hashWithSalt :: Int -> MonitoringAlertSummary -> Int #

hash :: MonitoringAlertSummary -> Int #

type Rep MonitoringAlertSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringAlertSummary

type Rep MonitoringAlertSummary = D1 ('MetaData "MonitoringAlertSummary" "Amazonka.SageMaker.Types.MonitoringAlertSummary" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "MonitoringAlertSummary'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "monitoringAlertName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: (S1 ('MetaSel ('Just "creationTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 POSIX) :*: S1 ('MetaSel ('Just "lastModifiedTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 POSIX))) :*: ((S1 ('MetaSel ('Just "alertStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 MonitoringAlertStatus) :*: S1 ('MetaSel ('Just "datapointsToAlert") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Natural)) :*: (S1 ('MetaSel ('Just "evaluationPeriod") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Natural) :*: S1 ('MetaSel ('Just "actions") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 MonitoringAlertActions)))))

newMonitoringAlertSummary Source #

Arguments

:: Text

$sel:monitoringAlertName:MonitoringAlertSummary'

-> UTCTime

$sel:creationTime:MonitoringAlertSummary'

-> UTCTime

$sel:lastModifiedTime:MonitoringAlertSummary'

-> MonitoringAlertStatus

$sel:alertStatus:MonitoringAlertSummary'

-> Natural

$sel:datapointsToAlert:MonitoringAlertSummary'

-> Natural

$sel:evaluationPeriod:MonitoringAlertSummary'

-> MonitoringAlertActions

$sel:actions:MonitoringAlertSummary'

-> MonitoringAlertSummary 

Create a value of MonitoringAlertSummary with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:monitoringAlertName:MonitoringAlertSummary', monitoringAlertSummary_monitoringAlertName - The name of a monitoring alert.

$sel:creationTime:MonitoringAlertSummary', monitoringAlertSummary_creationTime - A timestamp that indicates when a monitor alert was created.

$sel:lastModifiedTime:MonitoringAlertSummary', monitoringAlertSummary_lastModifiedTime - A timestamp that indicates when a monitor alert was last updated.

$sel:alertStatus:MonitoringAlertSummary', monitoringAlertSummary_alertStatus - The current status of an alert.

$sel:datapointsToAlert:MonitoringAlertSummary', monitoringAlertSummary_datapointsToAlert - Within EvaluationPeriod, how many execution failures will raise an alert.

$sel:evaluationPeriod:MonitoringAlertSummary', monitoringAlertSummary_evaluationPeriod - The number of most recent monitoring executions to consider when evaluating alert status.

$sel:actions:MonitoringAlertSummary', monitoringAlertSummary_actions - A list of alert actions taken in response to an alert going into InAlert status.

monitoringAlertSummary_monitoringAlertName :: Lens' MonitoringAlertSummary Text Source #

The name of a monitoring alert.

monitoringAlertSummary_creationTime :: Lens' MonitoringAlertSummary UTCTime Source #

A timestamp that indicates when a monitor alert was created.

monitoringAlertSummary_lastModifiedTime :: Lens' MonitoringAlertSummary UTCTime Source #

A timestamp that indicates when a monitor alert was last updated.

monitoringAlertSummary_alertStatus :: Lens' MonitoringAlertSummary MonitoringAlertStatus Source #

The current status of an alert.

monitoringAlertSummary_datapointsToAlert :: Lens' MonitoringAlertSummary Natural Source #

Within EvaluationPeriod, how many execution failures will raise an alert.

monitoringAlertSummary_evaluationPeriod :: Lens' MonitoringAlertSummary Natural Source #

The number of most recent monitoring executions to consider when evaluating alert status.

monitoringAlertSummary_actions :: Lens' MonitoringAlertSummary MonitoringAlertActions Source #

A list of alert actions taken in response to an alert going into InAlert status.

MonitoringAppSpecification

data MonitoringAppSpecification Source #

Container image configuration object for the monitoring job.

See: newMonitoringAppSpecification smart constructor.

Constructors

MonitoringAppSpecification' 

Fields

Instances

Instances details
FromJSON MonitoringAppSpecification Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringAppSpecification

Methods

parseJSON :: Value -> Parser MonitoringAppSpecification #

parseJSONList :: Value -> Parser [MonitoringAppSpecification] #

ToJSON MonitoringAppSpecification Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringAppSpecification

Methods

toJSON :: MonitoringAppSpecification -> Value #

toEncoding :: MonitoringAppSpecification -> Encoding #

toJSONList :: [MonitoringAppSpecification] -> Value #

toEncodingList :: [MonitoringAppSpecification] -> Encoding #

Generic MonitoringAppSpecification Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringAppSpecification

Associated Types

type Rep MonitoringAppSpecification :: Type -> Type #

Methods

from :: MonitoringAppSpecification -> Rep MonitoringAppSpecification x #

to :: Rep MonitoringAppSpecification x -> MonitoringAppSpecification #

Read MonitoringAppSpecification Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringAppSpecification

Methods

readsPrec :: Int -> ReadS MonitoringAppSpecification #

readList :: ReadS [MonitoringAppSpecification] #

readPrec :: ReadPrec MonitoringAppSpecification #

readListPrec :: ReadPrec [MonitoringAppSpecification] #

Show MonitoringAppSpecification Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringAppSpecification

Methods

showsPrec :: Int -> MonitoringAppSpecification -> ShowS #

show :: MonitoringAppSpecification -> String #

showList :: [MonitoringAppSpecification] -> ShowS #

NFData MonitoringAppSpecification Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringAppSpecification

Methods

rnf :: MonitoringAppSpecification -> () #

Eq MonitoringAppSpecification Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringAppSpecification

Methods

(==) :: MonitoringAppSpecification -> MonitoringAppSpecification -> Bool #

(/=) :: MonitoringAppSpecification -> MonitoringAppSpecification -> Bool #

Hashable MonitoringAppSpecification Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringAppSpecification

Methods

hashWithSalt :: Int -> MonitoringAppSpecification -> Int #

hash :: MonitoringAppSpecification -> Int #

type Rep MonitoringAppSpecification Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringAppSpecification

type Rep MonitoringAppSpecification = D1 ('MetaData "MonitoringAppSpecification" "Amazonka.SageMaker.Types.MonitoringAppSpecification" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "MonitoringAppSpecification'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "containerArguments") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe (NonEmpty Text))) :*: S1 ('MetaSel ('Just "containerEntrypoint") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe (NonEmpty Text)))) :*: (S1 ('MetaSel ('Just "postAnalyticsProcessorSourceUri") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: (S1 ('MetaSel ('Just "recordPreprocessorSourceUri") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "imageUri") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))))

newMonitoringAppSpecification Source #

Arguments

:: Text

$sel:imageUri:MonitoringAppSpecification'

-> MonitoringAppSpecification 

Create a value of MonitoringAppSpecification with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:containerArguments:MonitoringAppSpecification', monitoringAppSpecification_containerArguments - An array of arguments for the container used to run the monitoring job.

$sel:containerEntrypoint:MonitoringAppSpecification', monitoringAppSpecification_containerEntrypoint - Specifies the entrypoint for a container used to run the monitoring job.

$sel:postAnalyticsProcessorSourceUri:MonitoringAppSpecification', monitoringAppSpecification_postAnalyticsProcessorSourceUri - An Amazon S3 URI to a script that is called after analysis has been performed. Applicable only for the built-in (first party) containers.

$sel:recordPreprocessorSourceUri:MonitoringAppSpecification', monitoringAppSpecification_recordPreprocessorSourceUri - An Amazon S3 URI to a script that is called per row prior to running analysis. It can base64 decode the payload and convert it into a flatted json so that the built-in container can use the converted data. Applicable only for the built-in (first party) containers.

$sel:imageUri:MonitoringAppSpecification', monitoringAppSpecification_imageUri - The container image to be run by the monitoring job.

monitoringAppSpecification_containerArguments :: Lens' MonitoringAppSpecification (Maybe (NonEmpty Text)) Source #

An array of arguments for the container used to run the monitoring job.

monitoringAppSpecification_containerEntrypoint :: Lens' MonitoringAppSpecification (Maybe (NonEmpty Text)) Source #

Specifies the entrypoint for a container used to run the monitoring job.

monitoringAppSpecification_postAnalyticsProcessorSourceUri :: Lens' MonitoringAppSpecification (Maybe Text) Source #

An Amazon S3 URI to a script that is called after analysis has been performed. Applicable only for the built-in (first party) containers.

monitoringAppSpecification_recordPreprocessorSourceUri :: Lens' MonitoringAppSpecification (Maybe Text) Source #

An Amazon S3 URI to a script that is called per row prior to running analysis. It can base64 decode the payload and convert it into a flatted json so that the built-in container can use the converted data. Applicable only for the built-in (first party) containers.

monitoringAppSpecification_imageUri :: Lens' MonitoringAppSpecification Text Source #

The container image to be run by the monitoring job.

MonitoringBaselineConfig

data MonitoringBaselineConfig Source #

Configuration for monitoring constraints and monitoring statistics. These baseline resources are compared against the results of the current job from the series of jobs scheduled to collect data periodically.

See: newMonitoringBaselineConfig smart constructor.

Constructors

MonitoringBaselineConfig' 

Fields

Instances

Instances details
FromJSON MonitoringBaselineConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringBaselineConfig

Methods

parseJSON :: Value -> Parser MonitoringBaselineConfig #

parseJSONList :: Value -> Parser [MonitoringBaselineConfig] #

ToJSON MonitoringBaselineConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringBaselineConfig

Methods

toJSON :: MonitoringBaselineConfig -> Value #

toEncoding :: MonitoringBaselineConfig -> Encoding #

toJSONList :: [MonitoringBaselineConfig] -> Value #

toEncodingList :: [MonitoringBaselineConfig] -> Encoding #

Generic MonitoringBaselineConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringBaselineConfig

Associated Types

type Rep MonitoringBaselineConfig :: Type -> Type #

Methods

from :: MonitoringBaselineConfig -> Rep MonitoringBaselineConfig x #

to :: Rep MonitoringBaselineConfig x -> MonitoringBaselineConfig #

Read MonitoringBaselineConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringBaselineConfig

Methods

readsPrec :: Int -> ReadS MonitoringBaselineConfig #

readList :: ReadS [MonitoringBaselineConfig] #

readPrec :: ReadPrec MonitoringBaselineConfig #

readListPrec :: ReadPrec [MonitoringBaselineConfig] #

Show MonitoringBaselineConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringBaselineConfig

Methods

showsPrec :: Int -> MonitoringBaselineConfig -> ShowS #

show :: MonitoringBaselineConfig -> String #

showList :: [MonitoringBaselineConfig] -> ShowS #

NFData MonitoringBaselineConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringBaselineConfig

Methods

rnf :: MonitoringBaselineConfig -> () #

Eq MonitoringBaselineConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringBaselineConfig

Methods

(==) :: MonitoringBaselineConfig -> MonitoringBaselineConfig -> Bool #

(/=) :: MonitoringBaselineConfig -> MonitoringBaselineConfig -> Bool #

Hashable MonitoringBaselineConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringBaselineConfig

Methods

hashWithSalt :: Int -> MonitoringBaselineConfig -> Int #

hash :: MonitoringBaselineConfig -> Int #

type Rep MonitoringBaselineConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringBaselineConfig

type Rep MonitoringBaselineConfig = D1 ('MetaData "MonitoringBaselineConfig" "Amazonka.SageMaker.Types.MonitoringBaselineConfig" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "MonitoringBaselineConfig'" 'PrefixI 'True) (S1 ('MetaSel ('Just "baseliningJobName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: (S1 ('MetaSel ('Just "constraintsResource") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe MonitoringConstraintsResource)) :*: S1 ('MetaSel ('Just "statisticsResource") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe MonitoringStatisticsResource)))))

newMonitoringBaselineConfig :: MonitoringBaselineConfig Source #

Create a value of MonitoringBaselineConfig with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:baseliningJobName:MonitoringBaselineConfig', monitoringBaselineConfig_baseliningJobName - The name of the job that performs baselining for the monitoring job.

$sel:constraintsResource:MonitoringBaselineConfig', monitoringBaselineConfig_constraintsResource - The baseline constraint file in Amazon S3 that the current monitoring job should validated against.

$sel:statisticsResource:MonitoringBaselineConfig', monitoringBaselineConfig_statisticsResource - The baseline statistics file in Amazon S3 that the current monitoring job should be validated against.

monitoringBaselineConfig_baseliningJobName :: Lens' MonitoringBaselineConfig (Maybe Text) Source #

The name of the job that performs baselining for the monitoring job.

monitoringBaselineConfig_constraintsResource :: Lens' MonitoringBaselineConfig (Maybe MonitoringConstraintsResource) Source #

The baseline constraint file in Amazon S3 that the current monitoring job should validated against.

monitoringBaselineConfig_statisticsResource :: Lens' MonitoringBaselineConfig (Maybe MonitoringStatisticsResource) Source #

The baseline statistics file in Amazon S3 that the current monitoring job should be validated against.

MonitoringClusterConfig

data MonitoringClusterConfig Source #

Configuration for the cluster used to run model monitoring jobs.

See: newMonitoringClusterConfig smart constructor.

Constructors

MonitoringClusterConfig' 

Fields

  • volumeKmsKeyId :: Maybe Text

    The Amazon Web Services Key Management Service (Amazon Web Services KMS) key that Amazon SageMaker uses to encrypt data on the storage volume attached to the ML compute instance(s) that run the model monitoring job.

  • instanceCount :: Natural

    The number of ML compute instances to use in the model monitoring job. For distributed processing jobs, specify a value greater than 1. The default value is 1.

  • instanceType :: ProcessingInstanceType

    The ML compute instance type for the processing job.

  • volumeSizeInGB :: Natural

    The size of the ML storage volume, in gigabytes, that you want to provision. You must specify sufficient ML storage for your scenario.

Instances

Instances details
FromJSON MonitoringClusterConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringClusterConfig

Methods

parseJSON :: Value -> Parser MonitoringClusterConfig #

parseJSONList :: Value -> Parser [MonitoringClusterConfig] #

ToJSON MonitoringClusterConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringClusterConfig

Methods

toJSON :: MonitoringClusterConfig -> Value #

toEncoding :: MonitoringClusterConfig -> Encoding #

toJSONList :: [MonitoringClusterConfig] -> Value #

toEncodingList :: [MonitoringClusterConfig] -> Encoding #

Generic MonitoringClusterConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringClusterConfig

Associated Types

type Rep MonitoringClusterConfig :: Type -> Type #

Methods

from :: MonitoringClusterConfig -> Rep MonitoringClusterConfig x #

to :: Rep MonitoringClusterConfig x -> MonitoringClusterConfig #

Read MonitoringClusterConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringClusterConfig

Methods

readsPrec :: Int -> ReadS MonitoringClusterConfig #

readList :: ReadS [MonitoringClusterConfig] #

readPrec :: ReadPrec MonitoringClusterConfig #

readListPrec :: ReadPrec [MonitoringClusterConfig] #

Show MonitoringClusterConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringClusterConfig

Methods

showsPrec :: Int -> MonitoringClusterConfig -> ShowS #

show :: MonitoringClusterConfig -> String #

showList :: [MonitoringClusterConfig] -> ShowS #

NFData MonitoringClusterConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringClusterConfig

Methods

rnf :: MonitoringClusterConfig -> () #

Eq MonitoringClusterConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringClusterConfig

Methods

(==) :: MonitoringClusterConfig -> MonitoringClusterConfig -> Bool #

(/=) :: MonitoringClusterConfig -> MonitoringClusterConfig -> Bool #

Hashable MonitoringClusterConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringClusterConfig

Methods

hashWithSalt :: Int -> MonitoringClusterConfig -> Int #

hash :: MonitoringClusterConfig -> Int #

type Rep MonitoringClusterConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringClusterConfig

type Rep MonitoringClusterConfig = D1 ('MetaData "MonitoringClusterConfig" "Amazonka.SageMaker.Types.MonitoringClusterConfig" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "MonitoringClusterConfig'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "volumeKmsKeyId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "instanceCount") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Natural)) :*: (S1 ('MetaSel ('Just "instanceType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 ProcessingInstanceType) :*: S1 ('MetaSel ('Just "volumeSizeInGB") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Natural))))

newMonitoringClusterConfig Source #

Arguments

:: Natural

$sel:instanceCount:MonitoringClusterConfig'

-> ProcessingInstanceType

$sel:instanceType:MonitoringClusterConfig'

-> Natural

$sel:volumeSizeInGB:MonitoringClusterConfig'

-> MonitoringClusterConfig 

Create a value of MonitoringClusterConfig with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:volumeKmsKeyId:MonitoringClusterConfig', monitoringClusterConfig_volumeKmsKeyId - The Amazon Web Services Key Management Service (Amazon Web Services KMS) key that Amazon SageMaker uses to encrypt data on the storage volume attached to the ML compute instance(s) that run the model monitoring job.

$sel:instanceCount:MonitoringClusterConfig', monitoringClusterConfig_instanceCount - The number of ML compute instances to use in the model monitoring job. For distributed processing jobs, specify a value greater than 1. The default value is 1.

$sel:instanceType:MonitoringClusterConfig', monitoringClusterConfig_instanceType - The ML compute instance type for the processing job.

$sel:volumeSizeInGB:MonitoringClusterConfig', monitoringClusterConfig_volumeSizeInGB - The size of the ML storage volume, in gigabytes, that you want to provision. You must specify sufficient ML storage for your scenario.

monitoringClusterConfig_volumeKmsKeyId :: Lens' MonitoringClusterConfig (Maybe Text) Source #

The Amazon Web Services Key Management Service (Amazon Web Services KMS) key that Amazon SageMaker uses to encrypt data on the storage volume attached to the ML compute instance(s) that run the model monitoring job.

monitoringClusterConfig_instanceCount :: Lens' MonitoringClusterConfig Natural Source #

The number of ML compute instances to use in the model monitoring job. For distributed processing jobs, specify a value greater than 1. The default value is 1.

monitoringClusterConfig_instanceType :: Lens' MonitoringClusterConfig ProcessingInstanceType Source #

The ML compute instance type for the processing job.

monitoringClusterConfig_volumeSizeInGB :: Lens' MonitoringClusterConfig Natural Source #

The size of the ML storage volume, in gigabytes, that you want to provision. You must specify sufficient ML storage for your scenario.

MonitoringConstraintsResource

data MonitoringConstraintsResource Source #

The constraints resource for a monitoring job.

See: newMonitoringConstraintsResource smart constructor.

Constructors

MonitoringConstraintsResource' 

Fields

Instances

Instances details
FromJSON MonitoringConstraintsResource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringConstraintsResource

Methods

parseJSON :: Value -> Parser MonitoringConstraintsResource #

parseJSONList :: Value -> Parser [MonitoringConstraintsResource] #

ToJSON MonitoringConstraintsResource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringConstraintsResource

Methods

toJSON :: MonitoringConstraintsResource -> Value #

toEncoding :: MonitoringConstraintsResource -> Encoding #

toJSONList :: [MonitoringConstraintsResource] -> Value #

toEncodingList :: [MonitoringConstraintsResource] -> Encoding #

Generic MonitoringConstraintsResource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringConstraintsResource

Associated Types

type Rep MonitoringConstraintsResource :: Type -> Type #

Methods

from :: MonitoringConstraintsResource -> Rep MonitoringConstraintsResource x #

to :: Rep MonitoringConstraintsResource x -> MonitoringConstraintsResource #

Read MonitoringConstraintsResource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringConstraintsResource

Methods

readsPrec :: Int -> ReadS MonitoringConstraintsResource #

readList :: ReadS [MonitoringConstraintsResource] #

readPrec :: ReadPrec MonitoringConstraintsResource #

readListPrec :: ReadPrec [MonitoringConstraintsResource] #

Show MonitoringConstraintsResource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringConstraintsResource

Methods

showsPrec :: Int -> MonitoringConstraintsResource -> ShowS #

show :: MonitoringConstraintsResource -> String #

showList :: [MonitoringConstraintsResource] -> ShowS #

NFData MonitoringConstraintsResource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringConstraintsResource

Methods

rnf :: MonitoringConstraintsResource -> () #

Eq MonitoringConstraintsResource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringConstraintsResource

Methods

(==) :: MonitoringConstraintsResource -> MonitoringConstraintsResource -> Bool #

(/=) :: MonitoringConstraintsResource -> MonitoringConstraintsResource -> Bool #

Hashable MonitoringConstraintsResource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringConstraintsResource

Methods

hashWithSalt :: Int -> MonitoringConstraintsResource -> Int #

hash :: MonitoringConstraintsResource -> Int #

type Rep MonitoringConstraintsResource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringConstraintsResource

type Rep MonitoringConstraintsResource = D1 ('MetaData "MonitoringConstraintsResource" "Amazonka.SageMaker.Types.MonitoringConstraintsResource" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "MonitoringConstraintsResource'" 'PrefixI 'True) (S1 ('MetaSel ('Just "s3Uri") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))

newMonitoringConstraintsResource :: MonitoringConstraintsResource Source #

Create a value of MonitoringConstraintsResource with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:s3Uri:MonitoringConstraintsResource', monitoringConstraintsResource_s3Uri - The Amazon S3 URI for the constraints resource.

monitoringConstraintsResource_s3Uri :: Lens' MonitoringConstraintsResource (Maybe Text) Source #

The Amazon S3 URI for the constraints resource.

MonitoringCsvDatasetFormat

data MonitoringCsvDatasetFormat Source #

Represents the CSV dataset format used when running a monitoring job.

See: newMonitoringCsvDatasetFormat smart constructor.

Constructors

MonitoringCsvDatasetFormat' 

Fields

Instances

Instances details
FromJSON MonitoringCsvDatasetFormat Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringCsvDatasetFormat

Methods

parseJSON :: Value -> Parser MonitoringCsvDatasetFormat #

parseJSONList :: Value -> Parser [MonitoringCsvDatasetFormat] #

ToJSON MonitoringCsvDatasetFormat Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringCsvDatasetFormat

Methods

toJSON :: MonitoringCsvDatasetFormat -> Value #

toEncoding :: MonitoringCsvDatasetFormat -> Encoding #

toJSONList :: [MonitoringCsvDatasetFormat] -> Value #

toEncodingList :: [MonitoringCsvDatasetFormat] -> Encoding #

Generic MonitoringCsvDatasetFormat Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringCsvDatasetFormat

Associated Types

type Rep MonitoringCsvDatasetFormat :: Type -> Type #

Methods

from :: MonitoringCsvDatasetFormat -> Rep MonitoringCsvDatasetFormat x #

to :: Rep MonitoringCsvDatasetFormat x -> MonitoringCsvDatasetFormat #

Read MonitoringCsvDatasetFormat Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringCsvDatasetFormat

Methods

readsPrec :: Int -> ReadS MonitoringCsvDatasetFormat #

readList :: ReadS [MonitoringCsvDatasetFormat] #

readPrec :: ReadPrec MonitoringCsvDatasetFormat #

readListPrec :: ReadPrec [MonitoringCsvDatasetFormat] #

Show MonitoringCsvDatasetFormat Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringCsvDatasetFormat

Methods

showsPrec :: Int -> MonitoringCsvDatasetFormat -> ShowS #

show :: MonitoringCsvDatasetFormat -> String #

showList :: [MonitoringCsvDatasetFormat] -> ShowS #

NFData MonitoringCsvDatasetFormat Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringCsvDatasetFormat

Methods

rnf :: MonitoringCsvDatasetFormat -> () #

Eq MonitoringCsvDatasetFormat Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringCsvDatasetFormat

Methods

(==) :: MonitoringCsvDatasetFormat -> MonitoringCsvDatasetFormat -> Bool #

(/=) :: MonitoringCsvDatasetFormat -> MonitoringCsvDatasetFormat -> Bool #

Hashable MonitoringCsvDatasetFormat Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringCsvDatasetFormat

Methods

hashWithSalt :: Int -> MonitoringCsvDatasetFormat -> Int #

hash :: MonitoringCsvDatasetFormat -> Int #

type Rep MonitoringCsvDatasetFormat Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringCsvDatasetFormat

type Rep MonitoringCsvDatasetFormat = D1 ('MetaData "MonitoringCsvDatasetFormat" "Amazonka.SageMaker.Types.MonitoringCsvDatasetFormat" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "MonitoringCsvDatasetFormat'" 'PrefixI 'True) (S1 ('MetaSel ('Just "header") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Bool))))

newMonitoringCsvDatasetFormat :: MonitoringCsvDatasetFormat Source #

Create a value of MonitoringCsvDatasetFormat with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:header:MonitoringCsvDatasetFormat', monitoringCsvDatasetFormat_header - Indicates if the CSV data has a header.

monitoringCsvDatasetFormat_header :: Lens' MonitoringCsvDatasetFormat (Maybe Bool) Source #

Indicates if the CSV data has a header.

MonitoringDatasetFormat

data MonitoringDatasetFormat Source #

Represents the dataset format used when running a monitoring job.

See: newMonitoringDatasetFormat smart constructor.

Constructors

MonitoringDatasetFormat' 

Fields

Instances

Instances details
FromJSON MonitoringDatasetFormat Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringDatasetFormat

Methods

parseJSON :: Value -> Parser MonitoringDatasetFormat #

parseJSONList :: Value -> Parser [MonitoringDatasetFormat] #

ToJSON MonitoringDatasetFormat Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringDatasetFormat

Methods

toJSON :: MonitoringDatasetFormat -> Value #

toEncoding :: MonitoringDatasetFormat -> Encoding #

toJSONList :: [MonitoringDatasetFormat] -> Value #

toEncodingList :: [MonitoringDatasetFormat] -> Encoding #

Generic MonitoringDatasetFormat Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringDatasetFormat

Associated Types

type Rep MonitoringDatasetFormat :: Type -> Type #

Methods

from :: MonitoringDatasetFormat -> Rep MonitoringDatasetFormat x #

to :: Rep MonitoringDatasetFormat x -> MonitoringDatasetFormat #

Read MonitoringDatasetFormat Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringDatasetFormat

Methods

readsPrec :: Int -> ReadS MonitoringDatasetFormat #

readList :: ReadS [MonitoringDatasetFormat] #

readPrec :: ReadPrec MonitoringDatasetFormat #

readListPrec :: ReadPrec [MonitoringDatasetFormat] #

Show MonitoringDatasetFormat Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringDatasetFormat

Methods

showsPrec :: Int -> MonitoringDatasetFormat -> ShowS #

show :: MonitoringDatasetFormat -> String #

showList :: [MonitoringDatasetFormat] -> ShowS #

NFData MonitoringDatasetFormat Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringDatasetFormat

Methods

rnf :: MonitoringDatasetFormat -> () #

Eq MonitoringDatasetFormat Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringDatasetFormat

Methods

(==) :: MonitoringDatasetFormat -> MonitoringDatasetFormat -> Bool #

(/=) :: MonitoringDatasetFormat -> MonitoringDatasetFormat -> Bool #

Hashable MonitoringDatasetFormat Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringDatasetFormat

Methods

hashWithSalt :: Int -> MonitoringDatasetFormat -> Int #

hash :: MonitoringDatasetFormat -> Int #

type Rep MonitoringDatasetFormat Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringDatasetFormat

type Rep MonitoringDatasetFormat = D1 ('MetaData "MonitoringDatasetFormat" "Amazonka.SageMaker.Types.MonitoringDatasetFormat" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "MonitoringDatasetFormat'" 'PrefixI 'True) (S1 ('MetaSel ('Just "csv") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe MonitoringCsvDatasetFormat)) :*: (S1 ('MetaSel ('Just "json") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe MonitoringJsonDatasetFormat)) :*: S1 ('MetaSel ('Just "parquet") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe MonitoringParquetDatasetFormat)))))

newMonitoringDatasetFormat :: MonitoringDatasetFormat Source #

Create a value of MonitoringDatasetFormat with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:csv:MonitoringDatasetFormat', monitoringDatasetFormat_csv - The CSV dataset used in the monitoring job.

$sel:json:MonitoringDatasetFormat', monitoringDatasetFormat_json - The JSON dataset used in the monitoring job

$sel:parquet:MonitoringDatasetFormat', monitoringDatasetFormat_parquet - The Parquet dataset used in the monitoring job

monitoringDatasetFormat_csv :: Lens' MonitoringDatasetFormat (Maybe MonitoringCsvDatasetFormat) Source #

The CSV dataset used in the monitoring job.

monitoringDatasetFormat_json :: Lens' MonitoringDatasetFormat (Maybe MonitoringJsonDatasetFormat) Source #

The JSON dataset used in the monitoring job

monitoringDatasetFormat_parquet :: Lens' MonitoringDatasetFormat (Maybe MonitoringParquetDatasetFormat) Source #

The Parquet dataset used in the monitoring job

MonitoringExecutionSummary

data MonitoringExecutionSummary Source #

Summary of information about the last monitoring job to run.

See: newMonitoringExecutionSummary smart constructor.

Constructors

MonitoringExecutionSummary' 

Fields

Instances

Instances details
FromJSON MonitoringExecutionSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringExecutionSummary

Methods

parseJSON :: Value -> Parser MonitoringExecutionSummary #

parseJSONList :: Value -> Parser [MonitoringExecutionSummary] #

Generic MonitoringExecutionSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringExecutionSummary

Associated Types

type Rep MonitoringExecutionSummary :: Type -> Type #

Methods

from :: MonitoringExecutionSummary -> Rep MonitoringExecutionSummary x #

to :: Rep MonitoringExecutionSummary x -> MonitoringExecutionSummary #

Read MonitoringExecutionSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringExecutionSummary

Methods

readsPrec :: Int -> ReadS MonitoringExecutionSummary #

readList :: ReadS [MonitoringExecutionSummary] #

readPrec :: ReadPrec MonitoringExecutionSummary #

readListPrec :: ReadPrec [MonitoringExecutionSummary] #

Show MonitoringExecutionSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringExecutionSummary

Methods

showsPrec :: Int -> MonitoringExecutionSummary -> ShowS #

show :: MonitoringExecutionSummary -> String #

showList :: [MonitoringExecutionSummary] -> ShowS #

NFData MonitoringExecutionSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringExecutionSummary

Methods

rnf :: MonitoringExecutionSummary -> () #

Eq MonitoringExecutionSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringExecutionSummary

Methods

(==) :: MonitoringExecutionSummary -> MonitoringExecutionSummary -> Bool #

(/=) :: MonitoringExecutionSummary -> MonitoringExecutionSummary -> Bool #

Hashable MonitoringExecutionSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringExecutionSummary

Methods

hashWithSalt :: Int -> MonitoringExecutionSummary -> Int #

hash :: MonitoringExecutionSummary -> Int #

type Rep MonitoringExecutionSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringExecutionSummary

type Rep MonitoringExecutionSummary = D1 ('MetaData "MonitoringExecutionSummary" "Amazonka.SageMaker.Types.MonitoringExecutionSummary" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "MonitoringExecutionSummary'" 'PrefixI 'True) (((S1 ('MetaSel ('Just "endpointName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "failureReason") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))) :*: (S1 ('MetaSel ('Just "monitoringJobDefinitionName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: (S1 ('MetaSel ('Just "monitoringType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe MonitoringType)) :*: S1 ('MetaSel ('Just "processingJobArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))) :*: ((S1 ('MetaSel ('Just "monitoringScheduleName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: S1 ('MetaSel ('Just "scheduledTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 POSIX)) :*: (S1 ('MetaSel ('Just "creationTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 POSIX) :*: (S1 ('MetaSel ('Just "lastModifiedTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 POSIX) :*: S1 ('MetaSel ('Just "monitoringExecutionStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 ExecutionStatus))))))

newMonitoringExecutionSummary Source #

Arguments

:: Text

$sel:monitoringScheduleName:MonitoringExecutionSummary'

-> UTCTime

$sel:scheduledTime:MonitoringExecutionSummary'

-> UTCTime

$sel:creationTime:MonitoringExecutionSummary'

-> UTCTime

$sel:lastModifiedTime:MonitoringExecutionSummary'

-> ExecutionStatus

$sel:monitoringExecutionStatus:MonitoringExecutionSummary'

-> MonitoringExecutionSummary 

Create a value of MonitoringExecutionSummary with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:endpointName:MonitoringExecutionSummary', monitoringExecutionSummary_endpointName - The name of the endpoint used to run the monitoring job.

$sel:failureReason:MonitoringExecutionSummary', monitoringExecutionSummary_failureReason - Contains the reason a monitoring job failed, if it failed.

$sel:monitoringJobDefinitionName:MonitoringExecutionSummary', monitoringExecutionSummary_monitoringJobDefinitionName - The name of the monitoring job.

$sel:monitoringType:MonitoringExecutionSummary', monitoringExecutionSummary_monitoringType - The type of the monitoring job.

$sel:processingJobArn:MonitoringExecutionSummary', monitoringExecutionSummary_processingJobArn - The Amazon Resource Name (ARN) of the monitoring job.

$sel:monitoringScheduleName:MonitoringExecutionSummary', monitoringExecutionSummary_monitoringScheduleName - The name of the monitoring schedule.

$sel:scheduledTime:MonitoringExecutionSummary', monitoringExecutionSummary_scheduledTime - The time the monitoring job was scheduled.

$sel:creationTime:MonitoringExecutionSummary', monitoringExecutionSummary_creationTime - The time at which the monitoring job was created.

$sel:lastModifiedTime:MonitoringExecutionSummary', monitoringExecutionSummary_lastModifiedTime - A timestamp that indicates the last time the monitoring job was modified.

$sel:monitoringExecutionStatus:MonitoringExecutionSummary', monitoringExecutionSummary_monitoringExecutionStatus - The status of the monitoring job.

monitoringExecutionSummary_endpointName :: Lens' MonitoringExecutionSummary (Maybe Text) Source #

The name of the endpoint used to run the monitoring job.

monitoringExecutionSummary_failureReason :: Lens' MonitoringExecutionSummary (Maybe Text) Source #

Contains the reason a monitoring job failed, if it failed.

monitoringExecutionSummary_monitoringJobDefinitionName :: Lens' MonitoringExecutionSummary (Maybe Text) Source #

The name of the monitoring job.

monitoringExecutionSummary_monitoringType :: Lens' MonitoringExecutionSummary (Maybe MonitoringType) Source #

The type of the monitoring job.

monitoringExecutionSummary_processingJobArn :: Lens' MonitoringExecutionSummary (Maybe Text) Source #

The Amazon Resource Name (ARN) of the monitoring job.

monitoringExecutionSummary_monitoringScheduleName :: Lens' MonitoringExecutionSummary Text Source #

The name of the monitoring schedule.

monitoringExecutionSummary_scheduledTime :: Lens' MonitoringExecutionSummary UTCTime Source #

The time the monitoring job was scheduled.

monitoringExecutionSummary_creationTime :: Lens' MonitoringExecutionSummary UTCTime Source #

The time at which the monitoring job was created.

monitoringExecutionSummary_lastModifiedTime :: Lens' MonitoringExecutionSummary UTCTime Source #

A timestamp that indicates the last time the monitoring job was modified.

monitoringExecutionSummary_monitoringExecutionStatus :: Lens' MonitoringExecutionSummary ExecutionStatus Source #

The status of the monitoring job.

MonitoringGroundTruthS3Input

data MonitoringGroundTruthS3Input Source #

The ground truth labels for the dataset used for the monitoring job.

See: newMonitoringGroundTruthS3Input smart constructor.

Constructors

MonitoringGroundTruthS3Input' 

Fields

  • s3Uri :: Maybe Text

    The address of the Amazon S3 location of the ground truth labels.

Instances

Instances details
FromJSON MonitoringGroundTruthS3Input Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringGroundTruthS3Input

Methods

parseJSON :: Value -> Parser MonitoringGroundTruthS3Input #

parseJSONList :: Value -> Parser [MonitoringGroundTruthS3Input] #

ToJSON MonitoringGroundTruthS3Input Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringGroundTruthS3Input

Methods

toJSON :: MonitoringGroundTruthS3Input -> Value #

toEncoding :: MonitoringGroundTruthS3Input -> Encoding #

toJSONList :: [MonitoringGroundTruthS3Input] -> Value #

toEncodingList :: [MonitoringGroundTruthS3Input] -> Encoding #

Generic MonitoringGroundTruthS3Input Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringGroundTruthS3Input

Associated Types

type Rep MonitoringGroundTruthS3Input :: Type -> Type #

Methods

from :: MonitoringGroundTruthS3Input -> Rep MonitoringGroundTruthS3Input x #

to :: Rep MonitoringGroundTruthS3Input x -> MonitoringGroundTruthS3Input #

Read MonitoringGroundTruthS3Input Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringGroundTruthS3Input

Methods

readsPrec :: Int -> ReadS MonitoringGroundTruthS3Input #

readList :: ReadS [MonitoringGroundTruthS3Input] #

readPrec :: ReadPrec MonitoringGroundTruthS3Input #

readListPrec :: ReadPrec [MonitoringGroundTruthS3Input] #

Show MonitoringGroundTruthS3Input Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringGroundTruthS3Input

Methods

showsPrec :: Int -> MonitoringGroundTruthS3Input -> ShowS #

show :: MonitoringGroundTruthS3Input -> String #

showList :: [MonitoringGroundTruthS3Input] -> ShowS #

NFData MonitoringGroundTruthS3Input Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringGroundTruthS3Input

Methods

rnf :: MonitoringGroundTruthS3Input -> () #

Eq MonitoringGroundTruthS3Input Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringGroundTruthS3Input

Methods

(==) :: MonitoringGroundTruthS3Input -> MonitoringGroundTruthS3Input -> Bool #

(/=) :: MonitoringGroundTruthS3Input -> MonitoringGroundTruthS3Input -> Bool #

Hashable MonitoringGroundTruthS3Input Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringGroundTruthS3Input

Methods

hashWithSalt :: Int -> MonitoringGroundTruthS3Input -> Int #

hash :: MonitoringGroundTruthS3Input -> Int #

type Rep MonitoringGroundTruthS3Input Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringGroundTruthS3Input

type Rep MonitoringGroundTruthS3Input = D1 ('MetaData "MonitoringGroundTruthS3Input" "Amazonka.SageMaker.Types.MonitoringGroundTruthS3Input" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "MonitoringGroundTruthS3Input'" 'PrefixI 'True) (S1 ('MetaSel ('Just "s3Uri") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))

newMonitoringGroundTruthS3Input :: MonitoringGroundTruthS3Input Source #

Create a value of MonitoringGroundTruthS3Input with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:s3Uri:MonitoringGroundTruthS3Input', monitoringGroundTruthS3Input_s3Uri - The address of the Amazon S3 location of the ground truth labels.

monitoringGroundTruthS3Input_s3Uri :: Lens' MonitoringGroundTruthS3Input (Maybe Text) Source #

The address of the Amazon S3 location of the ground truth labels.

MonitoringInput

data MonitoringInput Source #

The inputs for a monitoring job.

See: newMonitoringInput smart constructor.

Constructors

MonitoringInput' 

Fields

Instances

Instances details
FromJSON MonitoringInput Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringInput

Methods

parseJSON :: Value -> Parser MonitoringInput #

parseJSONList :: Value -> Parser [MonitoringInput] #

ToJSON MonitoringInput Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringInput

Methods

toJSON :: MonitoringInput -> Value #

toEncoding :: MonitoringInput -> Encoding #

toJSONList :: [MonitoringInput] -> Value #

toEncodingList :: [MonitoringInput] -> Encoding #

Generic MonitoringInput Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringInput

Associated Types

type Rep MonitoringInput :: Type -> Type #

Methods

from :: MonitoringInput -> Rep MonitoringInput x #

to :: Rep MonitoringInput x -> MonitoringInput #

Read MonitoringInput Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringInput

Methods

readsPrec :: Int -> ReadS MonitoringInput #

readList :: ReadS [MonitoringInput] #

readPrec :: ReadPrec MonitoringInput #

readListPrec :: ReadPrec [MonitoringInput] #

Show MonitoringInput Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringInput

Methods

showsPrec :: Int -> MonitoringInput -> ShowS #

show :: MonitoringInput -> String #

showList :: [MonitoringInput] -> ShowS #

NFData MonitoringInput Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringInput

Methods

rnf :: MonitoringInput -> () #

Eq MonitoringInput Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringInput

Methods

(==) :: MonitoringInput -> MonitoringInput -> Bool #

(/=) :: MonitoringInput -> MonitoringInput -> Bool #

Hashable MonitoringInput Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringInput

Methods

hashWithSalt :: Int -> MonitoringInput -> Int #

hash :: MonitoringInput -> Int #

type Rep MonitoringInput Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringInput

type Rep MonitoringInput = D1 ('MetaData "MonitoringInput" "Amazonka.SageMaker.Types.MonitoringInput" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "MonitoringInput'" 'PrefixI 'True) (S1 ('MetaSel ('Just "batchTransformInput") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe BatchTransformInput)) :*: S1 ('MetaSel ('Just "endpointInput") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe EndpointInput))))

newMonitoringInput :: MonitoringInput Source #

Create a value of MonitoringInput with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:batchTransformInput:MonitoringInput', monitoringInput_batchTransformInput - Input object for the batch transform job.

$sel:endpointInput:MonitoringInput', monitoringInput_endpointInput - The endpoint for a monitoring job.

monitoringInput_batchTransformInput :: Lens' MonitoringInput (Maybe BatchTransformInput) Source #

Input object for the batch transform job.

monitoringInput_endpointInput :: Lens' MonitoringInput (Maybe EndpointInput) Source #

The endpoint for a monitoring job.

MonitoringJobDefinition

data MonitoringJobDefinition Source #

Defines the monitoring job.

See: newMonitoringJobDefinition smart constructor.

Constructors

MonitoringJobDefinition' 

Fields

Instances

Instances details
FromJSON MonitoringJobDefinition Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringJobDefinition

Methods

parseJSON :: Value -> Parser MonitoringJobDefinition #

parseJSONList :: Value -> Parser [MonitoringJobDefinition] #

ToJSON MonitoringJobDefinition Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringJobDefinition

Methods

toJSON :: MonitoringJobDefinition -> Value #

toEncoding :: MonitoringJobDefinition -> Encoding #

toJSONList :: [MonitoringJobDefinition] -> Value #

toEncodingList :: [MonitoringJobDefinition] -> Encoding #

Generic MonitoringJobDefinition Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringJobDefinition

Associated Types

type Rep MonitoringJobDefinition :: Type -> Type #

Methods

from :: MonitoringJobDefinition -> Rep MonitoringJobDefinition x #

to :: Rep MonitoringJobDefinition x -> MonitoringJobDefinition #

Read MonitoringJobDefinition Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringJobDefinition

Methods

readsPrec :: Int -> ReadS MonitoringJobDefinition #

readList :: ReadS [MonitoringJobDefinition] #

readPrec :: ReadPrec MonitoringJobDefinition #

readListPrec :: ReadPrec [MonitoringJobDefinition] #

Show MonitoringJobDefinition Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringJobDefinition

Methods

showsPrec :: Int -> MonitoringJobDefinition -> ShowS #

show :: MonitoringJobDefinition -> String #

showList :: [MonitoringJobDefinition] -> ShowS #

NFData MonitoringJobDefinition Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringJobDefinition

Methods

rnf :: MonitoringJobDefinition -> () #

Eq MonitoringJobDefinition Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringJobDefinition

Methods

(==) :: MonitoringJobDefinition -> MonitoringJobDefinition -> Bool #

(/=) :: MonitoringJobDefinition -> MonitoringJobDefinition -> Bool #

Hashable MonitoringJobDefinition Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringJobDefinition

Methods

hashWithSalt :: Int -> MonitoringJobDefinition -> Int #

hash :: MonitoringJobDefinition -> Int #

type Rep MonitoringJobDefinition Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringJobDefinition

type Rep MonitoringJobDefinition = D1 ('MetaData "MonitoringJobDefinition" "Amazonka.SageMaker.Types.MonitoringJobDefinition" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "MonitoringJobDefinition'" 'PrefixI 'True) (((S1 ('MetaSel ('Just "baselineConfig") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe MonitoringBaselineConfig)) :*: S1 ('MetaSel ('Just "environment") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe (HashMap Text Text)))) :*: (S1 ('MetaSel ('Just "networkConfig") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe NetworkConfig)) :*: S1 ('MetaSel ('Just "stoppingCondition") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe MonitoringStoppingCondition)))) :*: ((S1 ('MetaSel ('Just "monitoringInputs") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (NonEmpty MonitoringInput)) :*: S1 ('MetaSel ('Just "monitoringOutputConfig") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 MonitoringOutputConfig)) :*: (S1 ('MetaSel ('Just "monitoringResources") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 MonitoringResources) :*: (S1 ('MetaSel ('Just "monitoringAppSpecification") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 MonitoringAppSpecification) :*: S1 ('MetaSel ('Just "roleArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text))))))

newMonitoringJobDefinition Source #

Arguments

:: NonEmpty MonitoringInput

$sel:monitoringInputs:MonitoringJobDefinition'

-> MonitoringOutputConfig

$sel:monitoringOutputConfig:MonitoringJobDefinition'

-> MonitoringResources

$sel:monitoringResources:MonitoringJobDefinition'

-> MonitoringAppSpecification

$sel:monitoringAppSpecification:MonitoringJobDefinition'

-> Text

$sel:roleArn:MonitoringJobDefinition'

-> MonitoringJobDefinition 

Create a value of MonitoringJobDefinition with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:baselineConfig:MonitoringJobDefinition', monitoringJobDefinition_baselineConfig - Baseline configuration used to validate that the data conforms to the specified constraints and statistics

$sel:environment:MonitoringJobDefinition', monitoringJobDefinition_environment - Sets the environment variables in the Docker container.

$sel:networkConfig:MonitoringJobDefinition', monitoringJobDefinition_networkConfig - Specifies networking options for an monitoring job.

$sel:stoppingCondition:MonitoringJobDefinition', monitoringJobDefinition_stoppingCondition - Specifies a time limit for how long the monitoring job is allowed to run.

$sel:monitoringInputs:MonitoringJobDefinition', monitoringJobDefinition_monitoringInputs - The array of inputs for the monitoring job. Currently we support monitoring an Amazon SageMaker Endpoint.

$sel:monitoringOutputConfig:MonitoringJobDefinition', monitoringJobDefinition_monitoringOutputConfig - The array of outputs from the monitoring job to be uploaded to Amazon Simple Storage Service (Amazon S3).

$sel:monitoringResources:MonitoringJobDefinition', monitoringJobDefinition_monitoringResources - Identifies the resources, ML compute instances, and ML storage volumes to deploy for a monitoring job. In distributed processing, you specify more than one instance.

$sel:monitoringAppSpecification:MonitoringJobDefinition', monitoringJobDefinition_monitoringAppSpecification - Configures the monitoring job to run a specified Docker container image.

$sel:roleArn:MonitoringJobDefinition', monitoringJobDefinition_roleArn - The Amazon Resource Name (ARN) of an IAM role that Amazon SageMaker can assume to perform tasks on your behalf.

monitoringJobDefinition_baselineConfig :: Lens' MonitoringJobDefinition (Maybe MonitoringBaselineConfig) Source #

Baseline configuration used to validate that the data conforms to the specified constraints and statistics

monitoringJobDefinition_environment :: Lens' MonitoringJobDefinition (Maybe (HashMap Text Text)) Source #

Sets the environment variables in the Docker container.

monitoringJobDefinition_networkConfig :: Lens' MonitoringJobDefinition (Maybe NetworkConfig) Source #

Specifies networking options for an monitoring job.

monitoringJobDefinition_stoppingCondition :: Lens' MonitoringJobDefinition (Maybe MonitoringStoppingCondition) Source #

Specifies a time limit for how long the monitoring job is allowed to run.

monitoringJobDefinition_monitoringInputs :: Lens' MonitoringJobDefinition (NonEmpty MonitoringInput) Source #

The array of inputs for the monitoring job. Currently we support monitoring an Amazon SageMaker Endpoint.

monitoringJobDefinition_monitoringOutputConfig :: Lens' MonitoringJobDefinition MonitoringOutputConfig Source #

The array of outputs from the monitoring job to be uploaded to Amazon Simple Storage Service (Amazon S3).

monitoringJobDefinition_monitoringResources :: Lens' MonitoringJobDefinition MonitoringResources Source #

Identifies the resources, ML compute instances, and ML storage volumes to deploy for a monitoring job. In distributed processing, you specify more than one instance.

monitoringJobDefinition_monitoringAppSpecification :: Lens' MonitoringJobDefinition MonitoringAppSpecification Source #

Configures the monitoring job to run a specified Docker container image.

monitoringJobDefinition_roleArn :: Lens' MonitoringJobDefinition Text Source #

The Amazon Resource Name (ARN) of an IAM role that Amazon SageMaker can assume to perform tasks on your behalf.

MonitoringJobDefinitionSummary

data MonitoringJobDefinitionSummary Source #

Summary information about a monitoring job.

See: newMonitoringJobDefinitionSummary smart constructor.

Constructors

MonitoringJobDefinitionSummary' 

Fields

Instances

Instances details
FromJSON MonitoringJobDefinitionSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringJobDefinitionSummary

Methods

parseJSON :: Value -> Parser MonitoringJobDefinitionSummary #

parseJSONList :: Value -> Parser [MonitoringJobDefinitionSummary] #

Generic MonitoringJobDefinitionSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringJobDefinitionSummary

Associated Types

type Rep MonitoringJobDefinitionSummary :: Type -> Type #

Methods

from :: MonitoringJobDefinitionSummary -> Rep MonitoringJobDefinitionSummary x #

to :: Rep MonitoringJobDefinitionSummary x -> MonitoringJobDefinitionSummary #

Read MonitoringJobDefinitionSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringJobDefinitionSummary

Methods

readsPrec :: Int -> ReadS MonitoringJobDefinitionSummary #

readList :: ReadS [MonitoringJobDefinitionSummary] #

readPrec :: ReadPrec MonitoringJobDefinitionSummary #

readListPrec :: ReadPrec [MonitoringJobDefinitionSummary] #

Show MonitoringJobDefinitionSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringJobDefinitionSummary

Methods

showsPrec :: Int -> MonitoringJobDefinitionSummary -> ShowS #

show :: MonitoringJobDefinitionSummary -> String #

showList :: [MonitoringJobDefinitionSummary] -> ShowS #

NFData MonitoringJobDefinitionSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringJobDefinitionSummary

Methods

rnf :: MonitoringJobDefinitionSummary -> () #

Eq MonitoringJobDefinitionSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringJobDefinitionSummary

Methods

(==) :: MonitoringJobDefinitionSummary -> MonitoringJobDefinitionSummary -> Bool #

(/=) :: MonitoringJobDefinitionSummary -> MonitoringJobDefinitionSummary -> Bool #

Hashable MonitoringJobDefinitionSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringJobDefinitionSummary

Methods

hashWithSalt :: Int -> MonitoringJobDefinitionSummary -> Int #

hash :: MonitoringJobDefinitionSummary -> Int #

type Rep MonitoringJobDefinitionSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringJobDefinitionSummary

type Rep MonitoringJobDefinitionSummary = D1 ('MetaData "MonitoringJobDefinitionSummary" "Amazonka.SageMaker.Types.MonitoringJobDefinitionSummary" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "MonitoringJobDefinitionSummary'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "monitoringJobDefinitionName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: S1 ('MetaSel ('Just "monitoringJobDefinitionArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)) :*: (S1 ('MetaSel ('Just "creationTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 POSIX) :*: S1 ('MetaSel ('Just "endpointName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text))))

newMonitoringJobDefinitionSummary Source #

Arguments

:: Text

$sel:monitoringJobDefinitionName:MonitoringJobDefinitionSummary'

-> Text

$sel:monitoringJobDefinitionArn:MonitoringJobDefinitionSummary'

-> UTCTime

$sel:creationTime:MonitoringJobDefinitionSummary'

-> Text

$sel:endpointName:MonitoringJobDefinitionSummary'

-> MonitoringJobDefinitionSummary 

Create a value of MonitoringJobDefinitionSummary with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:monitoringJobDefinitionName:MonitoringJobDefinitionSummary', monitoringJobDefinitionSummary_monitoringJobDefinitionName - The name of the monitoring job.

$sel:monitoringJobDefinitionArn:MonitoringJobDefinitionSummary', monitoringJobDefinitionSummary_monitoringJobDefinitionArn - The Amazon Resource Name (ARN) of the monitoring job.

$sel:creationTime:MonitoringJobDefinitionSummary', monitoringJobDefinitionSummary_creationTime - The time that the monitoring job was created.

$sel:endpointName:MonitoringJobDefinitionSummary', monitoringJobDefinitionSummary_endpointName - The name of the endpoint that the job monitors.

monitoringJobDefinitionSummary_monitoringJobDefinitionName :: Lens' MonitoringJobDefinitionSummary Text Source #

The name of the monitoring job.

monitoringJobDefinitionSummary_monitoringJobDefinitionArn :: Lens' MonitoringJobDefinitionSummary Text Source #

The Amazon Resource Name (ARN) of the monitoring job.

monitoringJobDefinitionSummary_creationTime :: Lens' MonitoringJobDefinitionSummary UTCTime Source #

The time that the monitoring job was created.

monitoringJobDefinitionSummary_endpointName :: Lens' MonitoringJobDefinitionSummary Text Source #

The name of the endpoint that the job monitors.

MonitoringJsonDatasetFormat

data MonitoringJsonDatasetFormat Source #

Represents the JSON dataset format used when running a monitoring job.

See: newMonitoringJsonDatasetFormat smart constructor.

Constructors

MonitoringJsonDatasetFormat' 

Fields

  • line :: Maybe Bool

    Indicates if the file should be read as a json object per line.

Instances

Instances details
FromJSON MonitoringJsonDatasetFormat Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringJsonDatasetFormat

Methods

parseJSON :: Value -> Parser MonitoringJsonDatasetFormat #

parseJSONList :: Value -> Parser [MonitoringJsonDatasetFormat] #

ToJSON MonitoringJsonDatasetFormat Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringJsonDatasetFormat

Methods

toJSON :: MonitoringJsonDatasetFormat -> Value #

toEncoding :: MonitoringJsonDatasetFormat -> Encoding #

toJSONList :: [MonitoringJsonDatasetFormat] -> Value #

toEncodingList :: [MonitoringJsonDatasetFormat] -> Encoding #

Generic MonitoringJsonDatasetFormat Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringJsonDatasetFormat

Associated Types

type Rep MonitoringJsonDatasetFormat :: Type -> Type #

Methods

from :: MonitoringJsonDatasetFormat -> Rep MonitoringJsonDatasetFormat x #

to :: Rep MonitoringJsonDatasetFormat x -> MonitoringJsonDatasetFormat #

Read MonitoringJsonDatasetFormat Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringJsonDatasetFormat

Methods

readsPrec :: Int -> ReadS MonitoringJsonDatasetFormat #

readList :: ReadS [MonitoringJsonDatasetFormat] #

readPrec :: ReadPrec MonitoringJsonDatasetFormat #

readListPrec :: ReadPrec [MonitoringJsonDatasetFormat] #

Show MonitoringJsonDatasetFormat Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringJsonDatasetFormat

Methods

showsPrec :: Int -> MonitoringJsonDatasetFormat -> ShowS #

show :: MonitoringJsonDatasetFormat -> String #

showList :: [MonitoringJsonDatasetFormat] -> ShowS #

NFData MonitoringJsonDatasetFormat Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringJsonDatasetFormat

Methods

rnf :: MonitoringJsonDatasetFormat -> () #

Eq MonitoringJsonDatasetFormat Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringJsonDatasetFormat

Methods

(==) :: MonitoringJsonDatasetFormat -> MonitoringJsonDatasetFormat -> Bool #

(/=) :: MonitoringJsonDatasetFormat -> MonitoringJsonDatasetFormat -> Bool #

Hashable MonitoringJsonDatasetFormat Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringJsonDatasetFormat

Methods

hashWithSalt :: Int -> MonitoringJsonDatasetFormat -> Int #

hash :: MonitoringJsonDatasetFormat -> Int #

type Rep MonitoringJsonDatasetFormat Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringJsonDatasetFormat

type Rep MonitoringJsonDatasetFormat = D1 ('MetaData "MonitoringJsonDatasetFormat" "Amazonka.SageMaker.Types.MonitoringJsonDatasetFormat" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "MonitoringJsonDatasetFormat'" 'PrefixI 'True) (S1 ('MetaSel ('Just "line") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Bool))))

newMonitoringJsonDatasetFormat :: MonitoringJsonDatasetFormat Source #

Create a value of MonitoringJsonDatasetFormat with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:line:MonitoringJsonDatasetFormat', monitoringJsonDatasetFormat_line - Indicates if the file should be read as a json object per line.

monitoringJsonDatasetFormat_line :: Lens' MonitoringJsonDatasetFormat (Maybe Bool) Source #

Indicates if the file should be read as a json object per line.

MonitoringNetworkConfig

data MonitoringNetworkConfig Source #

The networking configuration for the monitoring job.

See: newMonitoringNetworkConfig smart constructor.

Constructors

MonitoringNetworkConfig' 

Fields

Instances

Instances details
FromJSON MonitoringNetworkConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringNetworkConfig

Methods

parseJSON :: Value -> Parser MonitoringNetworkConfig #

parseJSONList :: Value -> Parser [MonitoringNetworkConfig] #

ToJSON MonitoringNetworkConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringNetworkConfig

Methods

toJSON :: MonitoringNetworkConfig -> Value #

toEncoding :: MonitoringNetworkConfig -> Encoding #

toJSONList :: [MonitoringNetworkConfig] -> Value #

toEncodingList :: [MonitoringNetworkConfig] -> Encoding #

Generic MonitoringNetworkConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringNetworkConfig

Associated Types

type Rep MonitoringNetworkConfig :: Type -> Type #

Methods

from :: MonitoringNetworkConfig -> Rep MonitoringNetworkConfig x #

to :: Rep MonitoringNetworkConfig x -> MonitoringNetworkConfig #

Read MonitoringNetworkConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringNetworkConfig

Methods

readsPrec :: Int -> ReadS MonitoringNetworkConfig #

readList :: ReadS [MonitoringNetworkConfig] #

readPrec :: ReadPrec MonitoringNetworkConfig #

readListPrec :: ReadPrec [MonitoringNetworkConfig] #

Show MonitoringNetworkConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringNetworkConfig

Methods

showsPrec :: Int -> MonitoringNetworkConfig -> ShowS #

show :: MonitoringNetworkConfig -> String #

showList :: [MonitoringNetworkConfig] -> ShowS #

NFData MonitoringNetworkConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringNetworkConfig

Methods

rnf :: MonitoringNetworkConfig -> () #

Eq MonitoringNetworkConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringNetworkConfig

Methods

(==) :: MonitoringNetworkConfig -> MonitoringNetworkConfig -> Bool #

(/=) :: MonitoringNetworkConfig -> MonitoringNetworkConfig -> Bool #

Hashable MonitoringNetworkConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringNetworkConfig

Methods

hashWithSalt :: Int -> MonitoringNetworkConfig -> Int #

hash :: MonitoringNetworkConfig -> Int #

type Rep MonitoringNetworkConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringNetworkConfig

type Rep MonitoringNetworkConfig = D1 ('MetaData "MonitoringNetworkConfig" "Amazonka.SageMaker.Types.MonitoringNetworkConfig" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "MonitoringNetworkConfig'" 'PrefixI 'True) (S1 ('MetaSel ('Just "enableInterContainerTrafficEncryption") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Bool)) :*: (S1 ('MetaSel ('Just "enableNetworkIsolation") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Bool)) :*: S1 ('MetaSel ('Just "vpcConfig") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe VpcConfig)))))

newMonitoringNetworkConfig :: MonitoringNetworkConfig Source #

Create a value of MonitoringNetworkConfig with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:enableInterContainerTrafficEncryption:MonitoringNetworkConfig', monitoringNetworkConfig_enableInterContainerTrafficEncryption - Whether to encrypt all communications between the instances used for the monitoring jobs. Choose True to encrypt communications. Encryption provides greater security for distributed jobs, but the processing might take longer.

$sel:enableNetworkIsolation:MonitoringNetworkConfig', monitoringNetworkConfig_enableNetworkIsolation - Whether to allow inbound and outbound network calls to and from the containers used for the monitoring job.

$sel:vpcConfig:MonitoringNetworkConfig', monitoringNetworkConfig_vpcConfig - Undocumented member.

monitoringNetworkConfig_enableInterContainerTrafficEncryption :: Lens' MonitoringNetworkConfig (Maybe Bool) Source #

Whether to encrypt all communications between the instances used for the monitoring jobs. Choose True to encrypt communications. Encryption provides greater security for distributed jobs, but the processing might take longer.

monitoringNetworkConfig_enableNetworkIsolation :: Lens' MonitoringNetworkConfig (Maybe Bool) Source #

Whether to allow inbound and outbound network calls to and from the containers used for the monitoring job.

monitoringNetworkConfig_vpcConfig :: Lens' MonitoringNetworkConfig (Maybe VpcConfig) Source #

Undocumented member.

MonitoringOutput

data MonitoringOutput Source #

The output object for a monitoring job.

See: newMonitoringOutput smart constructor.

Constructors

MonitoringOutput' 

Fields

Instances

Instances details
FromJSON MonitoringOutput Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringOutput

Methods

parseJSON :: Value -> Parser MonitoringOutput #

parseJSONList :: Value -> Parser [MonitoringOutput] #

ToJSON MonitoringOutput Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringOutput

Methods

toJSON :: MonitoringOutput -> Value #

toEncoding :: MonitoringOutput -> Encoding #

toJSONList :: [MonitoringOutput] -> Value #

toEncodingList :: [MonitoringOutput] -> Encoding #

Generic MonitoringOutput Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringOutput

Associated Types

type Rep MonitoringOutput :: Type -> Type #

Methods

from :: MonitoringOutput -> Rep MonitoringOutput x #

to :: Rep MonitoringOutput x -> MonitoringOutput #

Read MonitoringOutput Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringOutput

Methods

readsPrec :: Int -> ReadS MonitoringOutput #

readList :: ReadS [MonitoringOutput] #

readPrec :: ReadPrec MonitoringOutput #

readListPrec :: ReadPrec [MonitoringOutput] #

Show MonitoringOutput Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringOutput

Methods

showsPrec :: Int -> MonitoringOutput -> ShowS #

show :: MonitoringOutput -> String #

showList :: [MonitoringOutput] -> ShowS #

NFData MonitoringOutput Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringOutput

Methods

rnf :: MonitoringOutput -> () #

Eq MonitoringOutput Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringOutput

Methods

(==) :: MonitoringOutput -> MonitoringOutput -> Bool #

(/=) :: MonitoringOutput -> MonitoringOutput -> Bool #

Hashable MonitoringOutput Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringOutput

Methods

hashWithSalt :: Int -> MonitoringOutput -> Int #

hash :: MonitoringOutput -> Int #

type Rep MonitoringOutput Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringOutput

type Rep MonitoringOutput = D1 ('MetaData "MonitoringOutput" "Amazonka.SageMaker.Types.MonitoringOutput" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "MonitoringOutput'" 'PrefixI 'True) (S1 ('MetaSel ('Just "s3Output") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 MonitoringS3Output)))

newMonitoringOutput Source #

Arguments

:: MonitoringS3Output

$sel:s3Output:MonitoringOutput'

-> MonitoringOutput 

Create a value of MonitoringOutput with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:s3Output:MonitoringOutput', monitoringOutput_s3Output - The Amazon S3 storage location where the results of a monitoring job are saved.

monitoringOutput_s3Output :: Lens' MonitoringOutput MonitoringS3Output Source #

The Amazon S3 storage location where the results of a monitoring job are saved.

MonitoringOutputConfig

data MonitoringOutputConfig Source #

The output configuration for monitoring jobs.

See: newMonitoringOutputConfig smart constructor.

Constructors

MonitoringOutputConfig' 

Fields

  • kmsKeyId :: Maybe Text

    The Amazon Web Services Key Management Service (Amazon Web Services KMS) key that Amazon SageMaker uses to encrypt the model artifacts at rest using Amazon S3 server-side encryption.

  • monitoringOutputs :: NonEmpty MonitoringOutput

    Monitoring outputs for monitoring jobs. This is where the output of the periodic monitoring jobs is uploaded.

Instances

Instances details
FromJSON MonitoringOutputConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringOutputConfig

Methods

parseJSON :: Value -> Parser MonitoringOutputConfig #

parseJSONList :: Value -> Parser [MonitoringOutputConfig] #

ToJSON MonitoringOutputConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringOutputConfig

Methods

toJSON :: MonitoringOutputConfig -> Value #

toEncoding :: MonitoringOutputConfig -> Encoding #

toJSONList :: [MonitoringOutputConfig] -> Value #

toEncodingList :: [MonitoringOutputConfig] -> Encoding #

Generic MonitoringOutputConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringOutputConfig

Associated Types

type Rep MonitoringOutputConfig :: Type -> Type #

Methods

from :: MonitoringOutputConfig -> Rep MonitoringOutputConfig x #

to :: Rep MonitoringOutputConfig x -> MonitoringOutputConfig #

Read MonitoringOutputConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringOutputConfig

Methods

readsPrec :: Int -> ReadS MonitoringOutputConfig #

readList :: ReadS [MonitoringOutputConfig] #

readPrec :: ReadPrec MonitoringOutputConfig #

readListPrec :: ReadPrec [MonitoringOutputConfig] #

Show MonitoringOutputConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringOutputConfig

Methods

showsPrec :: Int -> MonitoringOutputConfig -> ShowS #

show :: MonitoringOutputConfig -> String #

showList :: [MonitoringOutputConfig] -> ShowS #

NFData MonitoringOutputConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringOutputConfig

Methods

rnf :: MonitoringOutputConfig -> () #

Eq MonitoringOutputConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringOutputConfig

Methods

(==) :: MonitoringOutputConfig -> MonitoringOutputConfig -> Bool #

(/=) :: MonitoringOutputConfig -> MonitoringOutputConfig -> Bool #

Hashable MonitoringOutputConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringOutputConfig

Methods

hashWithSalt :: Int -> MonitoringOutputConfig -> Int #

hash :: MonitoringOutputConfig -> Int #

type Rep MonitoringOutputConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringOutputConfig

type Rep MonitoringOutputConfig = D1 ('MetaData "MonitoringOutputConfig" "Amazonka.SageMaker.Types.MonitoringOutputConfig" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "MonitoringOutputConfig'" 'PrefixI 'True) (S1 ('MetaSel ('Just "kmsKeyId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "monitoringOutputs") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (NonEmpty MonitoringOutput))))

newMonitoringOutputConfig Source #

Arguments

:: NonEmpty MonitoringOutput

$sel:monitoringOutputs:MonitoringOutputConfig'

-> MonitoringOutputConfig 

Create a value of MonitoringOutputConfig with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:kmsKeyId:MonitoringOutputConfig', monitoringOutputConfig_kmsKeyId - The Amazon Web Services Key Management Service (Amazon Web Services KMS) key that Amazon SageMaker uses to encrypt the model artifacts at rest using Amazon S3 server-side encryption.

$sel:monitoringOutputs:MonitoringOutputConfig', monitoringOutputConfig_monitoringOutputs - Monitoring outputs for monitoring jobs. This is where the output of the periodic monitoring jobs is uploaded.

monitoringOutputConfig_kmsKeyId :: Lens' MonitoringOutputConfig (Maybe Text) Source #

The Amazon Web Services Key Management Service (Amazon Web Services KMS) key that Amazon SageMaker uses to encrypt the model artifacts at rest using Amazon S3 server-side encryption.

monitoringOutputConfig_monitoringOutputs :: Lens' MonitoringOutputConfig (NonEmpty MonitoringOutput) Source #

Monitoring outputs for monitoring jobs. This is where the output of the periodic monitoring jobs is uploaded.

MonitoringParquetDatasetFormat

data MonitoringParquetDatasetFormat Source #

Represents the Parquet dataset format used when running a monitoring job.

See: newMonitoringParquetDatasetFormat smart constructor.

Constructors

MonitoringParquetDatasetFormat' 

Instances

Instances details
FromJSON MonitoringParquetDatasetFormat Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringParquetDatasetFormat

Methods

parseJSON :: Value -> Parser MonitoringParquetDatasetFormat #

parseJSONList :: Value -> Parser [MonitoringParquetDatasetFormat] #

ToJSON MonitoringParquetDatasetFormat Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringParquetDatasetFormat

Methods

toJSON :: MonitoringParquetDatasetFormat -> Value #

toEncoding :: MonitoringParquetDatasetFormat -> Encoding #

toJSONList :: [MonitoringParquetDatasetFormat] -> Value #

toEncodingList :: [MonitoringParquetDatasetFormat] -> Encoding #

Generic MonitoringParquetDatasetFormat Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringParquetDatasetFormat

Associated Types

type Rep MonitoringParquetDatasetFormat :: Type -> Type #

Methods

from :: MonitoringParquetDatasetFormat -> Rep MonitoringParquetDatasetFormat x #

to :: Rep MonitoringParquetDatasetFormat x -> MonitoringParquetDatasetFormat #

Read MonitoringParquetDatasetFormat Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringParquetDatasetFormat

Methods

readsPrec :: Int -> ReadS MonitoringParquetDatasetFormat #

readList :: ReadS [MonitoringParquetDatasetFormat] #

readPrec :: ReadPrec MonitoringParquetDatasetFormat #

readListPrec :: ReadPrec [MonitoringParquetDatasetFormat] #

Show MonitoringParquetDatasetFormat Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringParquetDatasetFormat

Methods

showsPrec :: Int -> MonitoringParquetDatasetFormat -> ShowS #

show :: MonitoringParquetDatasetFormat -> String #

showList :: [MonitoringParquetDatasetFormat] -> ShowS #

NFData MonitoringParquetDatasetFormat Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringParquetDatasetFormat

Methods

rnf :: MonitoringParquetDatasetFormat -> () #

Eq MonitoringParquetDatasetFormat Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringParquetDatasetFormat

Methods

(==) :: MonitoringParquetDatasetFormat -> MonitoringParquetDatasetFormat -> Bool #

(/=) :: MonitoringParquetDatasetFormat -> MonitoringParquetDatasetFormat -> Bool #

Hashable MonitoringParquetDatasetFormat Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringParquetDatasetFormat

Methods

hashWithSalt :: Int -> MonitoringParquetDatasetFormat -> Int #

hash :: MonitoringParquetDatasetFormat -> Int #

type Rep MonitoringParquetDatasetFormat Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringParquetDatasetFormat

type Rep MonitoringParquetDatasetFormat = D1 ('MetaData "MonitoringParquetDatasetFormat" "Amazonka.SageMaker.Types.MonitoringParquetDatasetFormat" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "MonitoringParquetDatasetFormat'" 'PrefixI 'False) (U1 :: Type -> Type))

newMonitoringParquetDatasetFormat :: MonitoringParquetDatasetFormat Source #

Create a value of MonitoringParquetDatasetFormat with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

MonitoringResources

data MonitoringResources Source #

Identifies the resources to deploy for a monitoring job.

See: newMonitoringResources smart constructor.

Constructors

MonitoringResources' 

Fields

Instances

Instances details
FromJSON MonitoringResources Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringResources

Methods

parseJSON :: Value -> Parser MonitoringResources #

parseJSONList :: Value -> Parser [MonitoringResources] #

ToJSON MonitoringResources Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringResources

Methods

toJSON :: MonitoringResources -> Value #

toEncoding :: MonitoringResources -> Encoding #

toJSONList :: [MonitoringResources] -> Value #

toEncodingList :: [MonitoringResources] -> Encoding #

Generic MonitoringResources Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringResources

Associated Types

type Rep MonitoringResources :: Type -> Type #

Methods

from :: MonitoringResources -> Rep MonitoringResources x #

to :: Rep MonitoringResources x -> MonitoringResources #

Read MonitoringResources Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringResources

Methods

readsPrec :: Int -> ReadS MonitoringResources #

readList :: ReadS [MonitoringResources] #

readPrec :: ReadPrec MonitoringResources #

readListPrec :: ReadPrec [MonitoringResources] #

Show MonitoringResources Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringResources

Methods

showsPrec :: Int -> MonitoringResources -> ShowS #

show :: MonitoringResources -> String #

showList :: [MonitoringResources] -> ShowS #

NFData MonitoringResources Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringResources

Methods

rnf :: MonitoringResources -> () #

Eq MonitoringResources Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringResources

Methods

(==) :: MonitoringResources -> MonitoringResources -> Bool #

(/=) :: MonitoringResources -> MonitoringResources -> Bool #

Hashable MonitoringResources Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringResources

Methods

hashWithSalt :: Int -> MonitoringResources -> Int #

hash :: MonitoringResources -> Int #

type Rep MonitoringResources Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringResources

type Rep MonitoringResources = D1 ('MetaData "MonitoringResources" "Amazonka.SageMaker.Types.MonitoringResources" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "MonitoringResources'" 'PrefixI 'True) (S1 ('MetaSel ('Just "clusterConfig") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 MonitoringClusterConfig)))

newMonitoringResources Source #

Arguments

:: MonitoringClusterConfig

$sel:clusterConfig:MonitoringResources'

-> MonitoringResources 

Create a value of MonitoringResources with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:clusterConfig:MonitoringResources', monitoringResources_clusterConfig - The configuration for the cluster resources used to run the processing job.

monitoringResources_clusterConfig :: Lens' MonitoringResources MonitoringClusterConfig Source #

The configuration for the cluster resources used to run the processing job.

MonitoringS3Output

data MonitoringS3Output Source #

Information about where and how you want to store the results of a monitoring job.

See: newMonitoringS3Output smart constructor.

Constructors

MonitoringS3Output' 

Fields

  • s3UploadMode :: Maybe ProcessingS3UploadMode

    Whether to upload the results of the monitoring job continuously or after the job completes.

  • s3Uri :: Text

    A URI that identifies the Amazon S3 storage location where Amazon SageMaker saves the results of a monitoring job.

  • localPath :: Text

    The local path to the Amazon S3 storage location where Amazon SageMaker saves the results of a monitoring job. LocalPath is an absolute path for the output data.

Instances

Instances details
FromJSON MonitoringS3Output Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringS3Output

Methods

parseJSON :: Value -> Parser MonitoringS3Output #

parseJSONList :: Value -> Parser [MonitoringS3Output] #

ToJSON MonitoringS3Output Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringS3Output

Methods

toJSON :: MonitoringS3Output -> Value #

toEncoding :: MonitoringS3Output -> Encoding #

toJSONList :: [MonitoringS3Output] -> Value #

toEncodingList :: [MonitoringS3Output] -> Encoding #

Generic MonitoringS3Output Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringS3Output

Associated Types

type Rep MonitoringS3Output :: Type -> Type #

Methods

from :: MonitoringS3Output -> Rep MonitoringS3Output x #

to :: Rep MonitoringS3Output x -> MonitoringS3Output #

Read MonitoringS3Output Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringS3Output

Methods

readsPrec :: Int -> ReadS MonitoringS3Output #

readList :: ReadS [MonitoringS3Output] #

readPrec :: ReadPrec MonitoringS3Output #

readListPrec :: ReadPrec [MonitoringS3Output] #

Show MonitoringS3Output Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringS3Output

Methods

showsPrec :: Int -> MonitoringS3Output -> ShowS #

show :: MonitoringS3Output -> String #

showList :: [MonitoringS3Output] -> ShowS #

NFData MonitoringS3Output Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringS3Output

Methods

rnf :: MonitoringS3Output -> () #

Eq MonitoringS3Output Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringS3Output

Methods

(==) :: MonitoringS3Output -> MonitoringS3Output -> Bool #

(/=) :: MonitoringS3Output -> MonitoringS3Output -> Bool #

Hashable MonitoringS3Output Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringS3Output

Methods

hashWithSalt :: Int -> MonitoringS3Output -> Int #

hash :: MonitoringS3Output -> Int #

type Rep MonitoringS3Output Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringS3Output

type Rep MonitoringS3Output = D1 ('MetaData "MonitoringS3Output" "Amazonka.SageMaker.Types.MonitoringS3Output" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "MonitoringS3Output'" 'PrefixI 'True) (S1 ('MetaSel ('Just "s3UploadMode") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ProcessingS3UploadMode)) :*: (S1 ('MetaSel ('Just "s3Uri") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: S1 ('MetaSel ('Just "localPath") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text))))

newMonitoringS3Output Source #

Arguments

:: Text

$sel:s3Uri:MonitoringS3Output'

-> Text

$sel:localPath:MonitoringS3Output'

-> MonitoringS3Output 

Create a value of MonitoringS3Output with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:s3UploadMode:MonitoringS3Output', monitoringS3Output_s3UploadMode - Whether to upload the results of the monitoring job continuously or after the job completes.

$sel:s3Uri:MonitoringS3Output', monitoringS3Output_s3Uri - A URI that identifies the Amazon S3 storage location where Amazon SageMaker saves the results of a monitoring job.

$sel:localPath:MonitoringS3Output', monitoringS3Output_localPath - The local path to the Amazon S3 storage location where Amazon SageMaker saves the results of a monitoring job. LocalPath is an absolute path for the output data.

monitoringS3Output_s3UploadMode :: Lens' MonitoringS3Output (Maybe ProcessingS3UploadMode) Source #

Whether to upload the results of the monitoring job continuously or after the job completes.

monitoringS3Output_s3Uri :: Lens' MonitoringS3Output Text Source #

A URI that identifies the Amazon S3 storage location where Amazon SageMaker saves the results of a monitoring job.

monitoringS3Output_localPath :: Lens' MonitoringS3Output Text Source #

The local path to the Amazon S3 storage location where Amazon SageMaker saves the results of a monitoring job. LocalPath is an absolute path for the output data.

MonitoringSchedule

data MonitoringSchedule Source #

A schedule for a model monitoring job. For information about model monitor, see Amazon SageMaker Model Monitor.

See: newMonitoringSchedule smart constructor.

Constructors

MonitoringSchedule' 

Fields

Instances

Instances details
FromJSON MonitoringSchedule Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringSchedule

Methods

parseJSON :: Value -> Parser MonitoringSchedule #

parseJSONList :: Value -> Parser [MonitoringSchedule] #

Generic MonitoringSchedule Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringSchedule

Associated Types

type Rep MonitoringSchedule :: Type -> Type #

Methods

from :: MonitoringSchedule -> Rep MonitoringSchedule x #

to :: Rep MonitoringSchedule x -> MonitoringSchedule #

Read MonitoringSchedule Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringSchedule

Methods

readsPrec :: Int -> ReadS MonitoringSchedule #

readList :: ReadS [MonitoringSchedule] #

readPrec :: ReadPrec MonitoringSchedule #

readListPrec :: ReadPrec [MonitoringSchedule] #

Show MonitoringSchedule Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringSchedule

Methods

showsPrec :: Int -> MonitoringSchedule -> ShowS #

show :: MonitoringSchedule -> String #

showList :: [MonitoringSchedule] -> ShowS #

NFData MonitoringSchedule Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringSchedule

Methods

rnf :: MonitoringSchedule -> () #

Eq MonitoringSchedule Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringSchedule

Methods

(==) :: MonitoringSchedule -> MonitoringSchedule -> Bool #

(/=) :: MonitoringSchedule -> MonitoringSchedule -> Bool #

Hashable MonitoringSchedule Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringSchedule

Methods

hashWithSalt :: Int -> MonitoringSchedule -> Int #

hash :: MonitoringSchedule -> Int #

type Rep MonitoringSchedule Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringSchedule

type Rep MonitoringSchedule = D1 ('MetaData "MonitoringSchedule" "Amazonka.SageMaker.Types.MonitoringSchedule" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "MonitoringSchedule'" 'PrefixI 'True) (((S1 ('MetaSel ('Just "creationTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :*: S1 ('MetaSel ('Just "endpointName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))) :*: (S1 ('MetaSel ('Just "failureReason") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: (S1 ('MetaSel ('Just "lastModifiedTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :*: S1 ('MetaSel ('Just "lastMonitoringExecutionSummary") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe MonitoringExecutionSummary))))) :*: ((S1 ('MetaSel ('Just "monitoringScheduleArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: (S1 ('MetaSel ('Just "monitoringScheduleConfig") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe MonitoringScheduleConfig)) :*: S1 ('MetaSel ('Just "monitoringScheduleName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))) :*: (S1 ('MetaSel ('Just "monitoringScheduleStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ScheduleStatus)) :*: (S1 ('MetaSel ('Just "monitoringType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe MonitoringType)) :*: S1 ('MetaSel ('Just "tags") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [Tag])))))))

newMonitoringSchedule :: MonitoringSchedule Source #

Create a value of MonitoringSchedule with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

MonitoringSchedule, monitoringSchedule_creationTime - The time that the monitoring schedule was created.

MonitoringSchedule, monitoringSchedule_endpointName - The endpoint that hosts the model being monitored.

MonitoringSchedule, monitoringSchedule_failureReason - If the monitoring schedule failed, the reason it failed.

MonitoringSchedule, monitoringSchedule_lastModifiedTime - The last time the monitoring schedule was changed.

$sel:lastMonitoringExecutionSummary:MonitoringSchedule', monitoringSchedule_lastMonitoringExecutionSummary - Undocumented member.

$sel:monitoringScheduleArn:MonitoringSchedule', monitoringSchedule_monitoringScheduleArn - The Amazon Resource Name (ARN) of the monitoring schedule.

$sel:monitoringScheduleConfig:MonitoringSchedule', monitoringSchedule_monitoringScheduleConfig - Undocumented member.

MonitoringSchedule, monitoringSchedule_monitoringScheduleName - The name of the monitoring schedule.

$sel:monitoringScheduleStatus:MonitoringSchedule', monitoringSchedule_monitoringScheduleStatus - The status of the monitoring schedule. This can be one of the following values.

  • PENDING - The schedule is pending being created.
  • FAILED - The schedule failed.
  • SCHEDULED - The schedule was successfully created.
  • STOPPED - The schedule was stopped.

MonitoringSchedule, monitoringSchedule_monitoringType - The type of the monitoring job definition to schedule.

$sel:tags:MonitoringSchedule', monitoringSchedule_tags - A list of the tags associated with the monitoring schedlue. For more information, see Tagging Amazon Web Services resources in the Amazon Web Services General Reference Guide.

monitoringSchedule_creationTime :: Lens' MonitoringSchedule (Maybe UTCTime) Source #

The time that the monitoring schedule was created.

monitoringSchedule_endpointName :: Lens' MonitoringSchedule (Maybe Text) Source #

The endpoint that hosts the model being monitored.

monitoringSchedule_failureReason :: Lens' MonitoringSchedule (Maybe Text) Source #

If the monitoring schedule failed, the reason it failed.

monitoringSchedule_lastModifiedTime :: Lens' MonitoringSchedule (Maybe UTCTime) Source #

The last time the monitoring schedule was changed.

monitoringSchedule_lastMonitoringExecutionSummary :: Lens' MonitoringSchedule (Maybe MonitoringExecutionSummary) Source #

Undocumented member.

monitoringSchedule_monitoringScheduleArn :: Lens' MonitoringSchedule (Maybe Text) Source #

The Amazon Resource Name (ARN) of the monitoring schedule.

monitoringSchedule_monitoringScheduleConfig :: Lens' MonitoringSchedule (Maybe MonitoringScheduleConfig) Source #

Undocumented member.

monitoringSchedule_monitoringScheduleName :: Lens' MonitoringSchedule (Maybe Text) Source #

The name of the monitoring schedule.

monitoringSchedule_monitoringScheduleStatus :: Lens' MonitoringSchedule (Maybe ScheduleStatus) Source #

The status of the monitoring schedule. This can be one of the following values.

  • PENDING - The schedule is pending being created.
  • FAILED - The schedule failed.
  • SCHEDULED - The schedule was successfully created.
  • STOPPED - The schedule was stopped.

monitoringSchedule_monitoringType :: Lens' MonitoringSchedule (Maybe MonitoringType) Source #

The type of the monitoring job definition to schedule.

monitoringSchedule_tags :: Lens' MonitoringSchedule (Maybe [Tag]) Source #

A list of the tags associated with the monitoring schedlue. For more information, see Tagging Amazon Web Services resources in the Amazon Web Services General Reference Guide.

MonitoringScheduleConfig

data MonitoringScheduleConfig Source #

Configures the monitoring schedule and defines the monitoring job.

See: newMonitoringScheduleConfig smart constructor.

Constructors

MonitoringScheduleConfig' 

Fields

Instances

Instances details
FromJSON MonitoringScheduleConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringScheduleConfig

Methods

parseJSON :: Value -> Parser MonitoringScheduleConfig #

parseJSONList :: Value -> Parser [MonitoringScheduleConfig] #

ToJSON MonitoringScheduleConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringScheduleConfig

Methods

toJSON :: MonitoringScheduleConfig -> Value #

toEncoding :: MonitoringScheduleConfig -> Encoding #

toJSONList :: [MonitoringScheduleConfig] -> Value #

toEncodingList :: [MonitoringScheduleConfig] -> Encoding #

Generic MonitoringScheduleConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringScheduleConfig

Associated Types

type Rep MonitoringScheduleConfig :: Type -> Type #

Methods

from :: MonitoringScheduleConfig -> Rep MonitoringScheduleConfig x #

to :: Rep MonitoringScheduleConfig x -> MonitoringScheduleConfig #

Read MonitoringScheduleConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringScheduleConfig

Methods

readsPrec :: Int -> ReadS MonitoringScheduleConfig #

readList :: ReadS [MonitoringScheduleConfig] #

readPrec :: ReadPrec MonitoringScheduleConfig #

readListPrec :: ReadPrec [MonitoringScheduleConfig] #

Show MonitoringScheduleConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringScheduleConfig

Methods

showsPrec :: Int -> MonitoringScheduleConfig -> ShowS #

show :: MonitoringScheduleConfig -> String #

showList :: [MonitoringScheduleConfig] -> ShowS #

NFData MonitoringScheduleConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringScheduleConfig

Methods

rnf :: MonitoringScheduleConfig -> () #

Eq MonitoringScheduleConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringScheduleConfig

Methods

(==) :: MonitoringScheduleConfig -> MonitoringScheduleConfig -> Bool #

(/=) :: MonitoringScheduleConfig -> MonitoringScheduleConfig -> Bool #

Hashable MonitoringScheduleConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringScheduleConfig

Methods

hashWithSalt :: Int -> MonitoringScheduleConfig -> Int #

hash :: MonitoringScheduleConfig -> Int #

type Rep MonitoringScheduleConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringScheduleConfig

type Rep MonitoringScheduleConfig = D1 ('MetaData "MonitoringScheduleConfig" "Amazonka.SageMaker.Types.MonitoringScheduleConfig" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "MonitoringScheduleConfig'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "monitoringJobDefinition") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe MonitoringJobDefinition)) :*: S1 ('MetaSel ('Just "monitoringJobDefinitionName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))) :*: (S1 ('MetaSel ('Just "monitoringType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe MonitoringType)) :*: S1 ('MetaSel ('Just "scheduleConfig") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ScheduleConfig)))))

newMonitoringScheduleConfig :: MonitoringScheduleConfig Source #

Create a value of MonitoringScheduleConfig with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:monitoringJobDefinition:MonitoringScheduleConfig', monitoringScheduleConfig_monitoringJobDefinition - Defines the monitoring job.

$sel:monitoringJobDefinitionName:MonitoringScheduleConfig', monitoringScheduleConfig_monitoringJobDefinitionName - The name of the monitoring job definition to schedule.

$sel:monitoringType:MonitoringScheduleConfig', monitoringScheduleConfig_monitoringType - The type of the monitoring job definition to schedule.

$sel:scheduleConfig:MonitoringScheduleConfig', monitoringScheduleConfig_scheduleConfig - Configures the monitoring schedule.

monitoringScheduleConfig_monitoringJobDefinition :: Lens' MonitoringScheduleConfig (Maybe MonitoringJobDefinition) Source #

Defines the monitoring job.

monitoringScheduleConfig_monitoringJobDefinitionName :: Lens' MonitoringScheduleConfig (Maybe Text) Source #

The name of the monitoring job definition to schedule.

monitoringScheduleConfig_monitoringType :: Lens' MonitoringScheduleConfig (Maybe MonitoringType) Source #

The type of the monitoring job definition to schedule.

monitoringScheduleConfig_scheduleConfig :: Lens' MonitoringScheduleConfig (Maybe ScheduleConfig) Source #

Configures the monitoring schedule.

MonitoringScheduleSummary

data MonitoringScheduleSummary Source #

Summarizes the monitoring schedule.

See: newMonitoringScheduleSummary smart constructor.

Constructors

MonitoringScheduleSummary' 

Fields

Instances

Instances details
FromJSON MonitoringScheduleSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringScheduleSummary

Methods

parseJSON :: Value -> Parser MonitoringScheduleSummary #

parseJSONList :: Value -> Parser [MonitoringScheduleSummary] #

Generic MonitoringScheduleSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringScheduleSummary

Associated Types

type Rep MonitoringScheduleSummary :: Type -> Type #

Methods

from :: MonitoringScheduleSummary -> Rep MonitoringScheduleSummary x #

to :: Rep MonitoringScheduleSummary x -> MonitoringScheduleSummary #

Read MonitoringScheduleSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringScheduleSummary

Methods

readsPrec :: Int -> ReadS MonitoringScheduleSummary #

readList :: ReadS [MonitoringScheduleSummary] #

readPrec :: ReadPrec MonitoringScheduleSummary #

readListPrec :: ReadPrec [MonitoringScheduleSummary] #

Show MonitoringScheduleSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringScheduleSummary

Methods

showsPrec :: Int -> MonitoringScheduleSummary -> ShowS #

show :: MonitoringScheduleSummary -> String #

showList :: [MonitoringScheduleSummary] -> ShowS #

NFData MonitoringScheduleSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringScheduleSummary

Methods

rnf :: MonitoringScheduleSummary -> () #

Eq MonitoringScheduleSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringScheduleSummary

Methods

(==) :: MonitoringScheduleSummary -> MonitoringScheduleSummary -> Bool #

(/=) :: MonitoringScheduleSummary -> MonitoringScheduleSummary -> Bool #

Hashable MonitoringScheduleSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringScheduleSummary

Methods

hashWithSalt :: Int -> MonitoringScheduleSummary -> Int #

hash :: MonitoringScheduleSummary -> Int #

type Rep MonitoringScheduleSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringScheduleSummary

type Rep MonitoringScheduleSummary = D1 ('MetaData "MonitoringScheduleSummary" "Amazonka.SageMaker.Types.MonitoringScheduleSummary" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "MonitoringScheduleSummary'" 'PrefixI 'True) (((S1 ('MetaSel ('Just "endpointName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "monitoringJobDefinitionName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))) :*: (S1 ('MetaSel ('Just "monitoringType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe MonitoringType)) :*: S1 ('MetaSel ('Just "monitoringScheduleName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text))) :*: ((S1 ('MetaSel ('Just "monitoringScheduleArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: S1 ('MetaSel ('Just "creationTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 POSIX)) :*: (S1 ('MetaSel ('Just "lastModifiedTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 POSIX) :*: S1 ('MetaSel ('Just "monitoringScheduleStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 ScheduleStatus)))))

newMonitoringScheduleSummary Source #

Arguments

:: Text

$sel:monitoringScheduleName:MonitoringScheduleSummary'

-> Text

$sel:monitoringScheduleArn:MonitoringScheduleSummary'

-> UTCTime

$sel:creationTime:MonitoringScheduleSummary'

-> UTCTime

$sel:lastModifiedTime:MonitoringScheduleSummary'

-> ScheduleStatus

$sel:monitoringScheduleStatus:MonitoringScheduleSummary'

-> MonitoringScheduleSummary 

Create a value of MonitoringScheduleSummary with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:endpointName:MonitoringScheduleSummary', monitoringScheduleSummary_endpointName - The name of the endpoint using the monitoring schedule.

$sel:monitoringJobDefinitionName:MonitoringScheduleSummary', monitoringScheduleSummary_monitoringJobDefinitionName - The name of the monitoring job definition that the schedule is for.

$sel:monitoringType:MonitoringScheduleSummary', monitoringScheduleSummary_monitoringType - The type of the monitoring job definition that the schedule is for.

$sel:monitoringScheduleName:MonitoringScheduleSummary', monitoringScheduleSummary_monitoringScheduleName - The name of the monitoring schedule.

$sel:monitoringScheduleArn:MonitoringScheduleSummary', monitoringScheduleSummary_monitoringScheduleArn - The Amazon Resource Name (ARN) of the monitoring schedule.

$sel:creationTime:MonitoringScheduleSummary', monitoringScheduleSummary_creationTime - The creation time of the monitoring schedule.

$sel:lastModifiedTime:MonitoringScheduleSummary', monitoringScheduleSummary_lastModifiedTime - The last time the monitoring schedule was modified.

$sel:monitoringScheduleStatus:MonitoringScheduleSummary', monitoringScheduleSummary_monitoringScheduleStatus - The status of the monitoring schedule.

monitoringScheduleSummary_endpointName :: Lens' MonitoringScheduleSummary (Maybe Text) Source #

The name of the endpoint using the monitoring schedule.

monitoringScheduleSummary_monitoringJobDefinitionName :: Lens' MonitoringScheduleSummary (Maybe Text) Source #

The name of the monitoring job definition that the schedule is for.

monitoringScheduleSummary_monitoringType :: Lens' MonitoringScheduleSummary (Maybe MonitoringType) Source #

The type of the monitoring job definition that the schedule is for.

monitoringScheduleSummary_monitoringScheduleName :: Lens' MonitoringScheduleSummary Text Source #

The name of the monitoring schedule.

monitoringScheduleSummary_monitoringScheduleArn :: Lens' MonitoringScheduleSummary Text Source #

The Amazon Resource Name (ARN) of the monitoring schedule.

monitoringScheduleSummary_creationTime :: Lens' MonitoringScheduleSummary UTCTime Source #

The creation time of the monitoring schedule.

monitoringScheduleSummary_lastModifiedTime :: Lens' MonitoringScheduleSummary UTCTime Source #

The last time the monitoring schedule was modified.

monitoringScheduleSummary_monitoringScheduleStatus :: Lens' MonitoringScheduleSummary ScheduleStatus Source #

The status of the monitoring schedule.

MonitoringStatisticsResource

data MonitoringStatisticsResource Source #

The statistics resource for a monitoring job.

See: newMonitoringStatisticsResource smart constructor.

Constructors

MonitoringStatisticsResource' 

Fields

Instances

Instances details
FromJSON MonitoringStatisticsResource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringStatisticsResource

Methods

parseJSON :: Value -> Parser MonitoringStatisticsResource #

parseJSONList :: Value -> Parser [MonitoringStatisticsResource] #

ToJSON MonitoringStatisticsResource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringStatisticsResource

Methods

toJSON :: MonitoringStatisticsResource -> Value #

toEncoding :: MonitoringStatisticsResource -> Encoding #

toJSONList :: [MonitoringStatisticsResource] -> Value #

toEncodingList :: [MonitoringStatisticsResource] -> Encoding #

Generic MonitoringStatisticsResource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringStatisticsResource

Associated Types

type Rep MonitoringStatisticsResource :: Type -> Type #

Methods

from :: MonitoringStatisticsResource -> Rep MonitoringStatisticsResource x #

to :: Rep MonitoringStatisticsResource x -> MonitoringStatisticsResource #

Read MonitoringStatisticsResource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringStatisticsResource

Methods

readsPrec :: Int -> ReadS MonitoringStatisticsResource #

readList :: ReadS [MonitoringStatisticsResource] #

readPrec :: ReadPrec MonitoringStatisticsResource #

readListPrec :: ReadPrec [MonitoringStatisticsResource] #

Show MonitoringStatisticsResource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringStatisticsResource

Methods

showsPrec :: Int -> MonitoringStatisticsResource -> ShowS #

show :: MonitoringStatisticsResource -> String #

showList :: [MonitoringStatisticsResource] -> ShowS #

NFData MonitoringStatisticsResource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringStatisticsResource

Methods

rnf :: MonitoringStatisticsResource -> () #

Eq MonitoringStatisticsResource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringStatisticsResource

Methods

(==) :: MonitoringStatisticsResource -> MonitoringStatisticsResource -> Bool #

(/=) :: MonitoringStatisticsResource -> MonitoringStatisticsResource -> Bool #

Hashable MonitoringStatisticsResource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringStatisticsResource

Methods

hashWithSalt :: Int -> MonitoringStatisticsResource -> Int #

hash :: MonitoringStatisticsResource -> Int #

type Rep MonitoringStatisticsResource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringStatisticsResource

type Rep MonitoringStatisticsResource = D1 ('MetaData "MonitoringStatisticsResource" "Amazonka.SageMaker.Types.MonitoringStatisticsResource" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "MonitoringStatisticsResource'" 'PrefixI 'True) (S1 ('MetaSel ('Just "s3Uri") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))

newMonitoringStatisticsResource :: MonitoringStatisticsResource Source #

Create a value of MonitoringStatisticsResource with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:s3Uri:MonitoringStatisticsResource', monitoringStatisticsResource_s3Uri - The Amazon S3 URI for the statistics resource.

monitoringStatisticsResource_s3Uri :: Lens' MonitoringStatisticsResource (Maybe Text) Source #

The Amazon S3 URI for the statistics resource.

MonitoringStoppingCondition

data MonitoringStoppingCondition Source #

A time limit for how long the monitoring job is allowed to run before stopping.

See: newMonitoringStoppingCondition smart constructor.

Constructors

MonitoringStoppingCondition' 

Fields

  • maxRuntimeInSeconds :: Natural

    The maximum runtime allowed in seconds.

    The MaxRuntimeInSeconds cannot exceed the frequency of the job. For data quality and model explainability, this can be up to 3600 seconds for an hourly schedule. For model bias and model quality hourly schedules, this can be up to 1800 seconds.

Instances

Instances details
FromJSON MonitoringStoppingCondition Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringStoppingCondition

Methods

parseJSON :: Value -> Parser MonitoringStoppingCondition #

parseJSONList :: Value -> Parser [MonitoringStoppingCondition] #

ToJSON MonitoringStoppingCondition Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringStoppingCondition

Methods

toJSON :: MonitoringStoppingCondition -> Value #

toEncoding :: MonitoringStoppingCondition -> Encoding #

toJSONList :: [MonitoringStoppingCondition] -> Value #

toEncodingList :: [MonitoringStoppingCondition] -> Encoding #

Generic MonitoringStoppingCondition Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringStoppingCondition

Associated Types

type Rep MonitoringStoppingCondition :: Type -> Type #

Methods

from :: MonitoringStoppingCondition -> Rep MonitoringStoppingCondition x #

to :: Rep MonitoringStoppingCondition x -> MonitoringStoppingCondition #

Read MonitoringStoppingCondition Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringStoppingCondition

Methods

readsPrec :: Int -> ReadS MonitoringStoppingCondition #

readList :: ReadS [MonitoringStoppingCondition] #

readPrec :: ReadPrec MonitoringStoppingCondition #

readListPrec :: ReadPrec [MonitoringStoppingCondition] #

Show MonitoringStoppingCondition Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringStoppingCondition

Methods

showsPrec :: Int -> MonitoringStoppingCondition -> ShowS #

show :: MonitoringStoppingCondition -> String #

showList :: [MonitoringStoppingCondition] -> ShowS #

NFData MonitoringStoppingCondition Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringStoppingCondition

Methods

rnf :: MonitoringStoppingCondition -> () #

Eq MonitoringStoppingCondition Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringStoppingCondition

Methods

(==) :: MonitoringStoppingCondition -> MonitoringStoppingCondition -> Bool #

(/=) :: MonitoringStoppingCondition -> MonitoringStoppingCondition -> Bool #

Hashable MonitoringStoppingCondition Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringStoppingCondition

Methods

hashWithSalt :: Int -> MonitoringStoppingCondition -> Int #

hash :: MonitoringStoppingCondition -> Int #

type Rep MonitoringStoppingCondition Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MonitoringStoppingCondition

type Rep MonitoringStoppingCondition = D1 ('MetaData "MonitoringStoppingCondition" "Amazonka.SageMaker.Types.MonitoringStoppingCondition" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "MonitoringStoppingCondition'" 'PrefixI 'True) (S1 ('MetaSel ('Just "maxRuntimeInSeconds") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Natural)))

newMonitoringStoppingCondition Source #

Arguments

:: Natural

$sel:maxRuntimeInSeconds:MonitoringStoppingCondition'

-> MonitoringStoppingCondition 

Create a value of MonitoringStoppingCondition with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:maxRuntimeInSeconds:MonitoringStoppingCondition', monitoringStoppingCondition_maxRuntimeInSeconds - The maximum runtime allowed in seconds.

The MaxRuntimeInSeconds cannot exceed the frequency of the job. For data quality and model explainability, this can be up to 3600 seconds for an hourly schedule. For model bias and model quality hourly schedules, this can be up to 1800 seconds.

monitoringStoppingCondition_maxRuntimeInSeconds :: Lens' MonitoringStoppingCondition Natural Source #

The maximum runtime allowed in seconds.

The MaxRuntimeInSeconds cannot exceed the frequency of the job. For data quality and model explainability, this can be up to 3600 seconds for an hourly schedule. For model bias and model quality hourly schedules, this can be up to 1800 seconds.

MultiModelConfig

data MultiModelConfig Source #

Specifies additional configuration for hosting multi-model endpoints.

See: newMultiModelConfig smart constructor.

Constructors

MultiModelConfig' 

Fields

  • modelCacheSetting :: Maybe ModelCacheSetting

    Whether to cache models for a multi-model endpoint. By default, multi-model endpoints cache models so that a model does not have to be loaded into memory each time it is invoked. Some use cases do not benefit from model caching. For example, if an endpoint hosts a large number of models that are each invoked infrequently, the endpoint might perform better if you disable model caching. To disable model caching, set the value of this parameter to Disabled.

Instances

Instances details
FromJSON MultiModelConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MultiModelConfig

Methods

parseJSON :: Value -> Parser MultiModelConfig #

parseJSONList :: Value -> Parser [MultiModelConfig] #

ToJSON MultiModelConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MultiModelConfig

Methods

toJSON :: MultiModelConfig -> Value #

toEncoding :: MultiModelConfig -> Encoding #

toJSONList :: [MultiModelConfig] -> Value #

toEncodingList :: [MultiModelConfig] -> Encoding #

Generic MultiModelConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MultiModelConfig

Associated Types

type Rep MultiModelConfig :: Type -> Type #

Methods

from :: MultiModelConfig -> Rep MultiModelConfig x #

to :: Rep MultiModelConfig x -> MultiModelConfig #

Read MultiModelConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MultiModelConfig

Methods

readsPrec :: Int -> ReadS MultiModelConfig #

readList :: ReadS [MultiModelConfig] #

readPrec :: ReadPrec MultiModelConfig #

readListPrec :: ReadPrec [MultiModelConfig] #

Show MultiModelConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MultiModelConfig

Methods

showsPrec :: Int -> MultiModelConfig -> ShowS #

show :: MultiModelConfig -> String #

showList :: [MultiModelConfig] -> ShowS #

NFData MultiModelConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MultiModelConfig

Methods

rnf :: MultiModelConfig -> () #

Eq MultiModelConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MultiModelConfig

Methods

(==) :: MultiModelConfig -> MultiModelConfig -> Bool #

(/=) :: MultiModelConfig -> MultiModelConfig -> Bool #

Hashable MultiModelConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MultiModelConfig

Methods

hashWithSalt :: Int -> MultiModelConfig -> Int #

hash :: MultiModelConfig -> Int #

type Rep MultiModelConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.MultiModelConfig

type Rep MultiModelConfig = D1 ('MetaData "MultiModelConfig" "Amazonka.SageMaker.Types.MultiModelConfig" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "MultiModelConfig'" 'PrefixI 'True) (S1 ('MetaSel ('Just "modelCacheSetting") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ModelCacheSetting))))

newMultiModelConfig :: MultiModelConfig Source #

Create a value of MultiModelConfig with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:modelCacheSetting:MultiModelConfig', multiModelConfig_modelCacheSetting - Whether to cache models for a multi-model endpoint. By default, multi-model endpoints cache models so that a model does not have to be loaded into memory each time it is invoked. Some use cases do not benefit from model caching. For example, if an endpoint hosts a large number of models that are each invoked infrequently, the endpoint might perform better if you disable model caching. To disable model caching, set the value of this parameter to Disabled.

multiModelConfig_modelCacheSetting :: Lens' MultiModelConfig (Maybe ModelCacheSetting) Source #

Whether to cache models for a multi-model endpoint. By default, multi-model endpoints cache models so that a model does not have to be loaded into memory each time it is invoked. Some use cases do not benefit from model caching. For example, if an endpoint hosts a large number of models that are each invoked infrequently, the endpoint might perform better if you disable model caching. To disable model caching, set the value of this parameter to Disabled.

NeoVpcConfig

data NeoVpcConfig Source #

The VpcConfig configuration object that specifies the VPC that you want the compilation jobs to connect to. For more information on controlling access to your Amazon S3 buckets used for compilation job, see Give Amazon SageMaker Compilation Jobs Access to Resources in Your Amazon VPC.

See: newNeoVpcConfig smart constructor.

Constructors

NeoVpcConfig' 

Fields

  • securityGroupIds :: NonEmpty Text

    The VPC security group IDs. IDs have the form of sg-xxxxxxxx. Specify the security groups for the VPC that is specified in the Subnets field.

  • subnets :: NonEmpty Text

    The ID of the subnets in the VPC that you want to connect the compilation job to for accessing the model in Amazon S3.

Instances

Instances details
FromJSON NeoVpcConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.NeoVpcConfig

Methods

parseJSON :: Value -> Parser NeoVpcConfig #

parseJSONList :: Value -> Parser [NeoVpcConfig] #

ToJSON NeoVpcConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.NeoVpcConfig

Methods

toJSON :: NeoVpcConfig -> Value #

toEncoding :: NeoVpcConfig -> Encoding #

toJSONList :: [NeoVpcConfig] -> Value #

toEncodingList :: [NeoVpcConfig] -> Encoding #

Generic NeoVpcConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.NeoVpcConfig

Associated Types

type Rep NeoVpcConfig :: Type -> Type #

Methods

from :: NeoVpcConfig -> Rep NeoVpcConfig x #

to :: Rep NeoVpcConfig x -> NeoVpcConfig #

Read NeoVpcConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.NeoVpcConfig

Methods

readsPrec :: Int -> ReadS NeoVpcConfig #

readList :: ReadS [NeoVpcConfig] #

readPrec :: ReadPrec NeoVpcConfig #

readListPrec :: ReadPrec [NeoVpcConfig] #

Show NeoVpcConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.NeoVpcConfig

Methods

showsPrec :: Int -> NeoVpcConfig -> ShowS #

show :: NeoVpcConfig -> String #

showList :: [NeoVpcConfig] -> ShowS #

NFData NeoVpcConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.NeoVpcConfig

Methods

rnf :: NeoVpcConfig -> () #

Eq NeoVpcConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.NeoVpcConfig

Methods

(==) :: NeoVpcConfig -> NeoVpcConfig -> Bool #

(/=) :: NeoVpcConfig -> NeoVpcConfig -> Bool #

Hashable NeoVpcConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.NeoVpcConfig

Methods

hashWithSalt :: Int -> NeoVpcConfig -> Int #

hash :: NeoVpcConfig -> Int #

type Rep NeoVpcConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.NeoVpcConfig

type Rep NeoVpcConfig = D1 ('MetaData "NeoVpcConfig" "Amazonka.SageMaker.Types.NeoVpcConfig" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "NeoVpcConfig'" 'PrefixI 'True) (S1 ('MetaSel ('Just "securityGroupIds") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (NonEmpty Text)) :*: S1 ('MetaSel ('Just "subnets") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (NonEmpty Text))))

newNeoVpcConfig Source #

Arguments

:: NonEmpty Text

$sel:securityGroupIds:NeoVpcConfig'

-> NonEmpty Text

$sel:subnets:NeoVpcConfig'

-> NeoVpcConfig 

Create a value of NeoVpcConfig with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:securityGroupIds:NeoVpcConfig', neoVpcConfig_securityGroupIds - The VPC security group IDs. IDs have the form of sg-xxxxxxxx. Specify the security groups for the VPC that is specified in the Subnets field.

$sel:subnets:NeoVpcConfig', neoVpcConfig_subnets - The ID of the subnets in the VPC that you want to connect the compilation job to for accessing the model in Amazon S3.

neoVpcConfig_securityGroupIds :: Lens' NeoVpcConfig (NonEmpty Text) Source #

The VPC security group IDs. IDs have the form of sg-xxxxxxxx. Specify the security groups for the VPC that is specified in the Subnets field.

neoVpcConfig_subnets :: Lens' NeoVpcConfig (NonEmpty Text) Source #

The ID of the subnets in the VPC that you want to connect the compilation job to for accessing the model in Amazon S3.

NestedFilters

data NestedFilters Source #

A list of nested Filter objects. A resource must satisfy the conditions of all filters to be included in the results returned from the Search API.

For example, to filter on a training job's InputDataConfig property with a specific channel name and S3Uri prefix, define the following filters:

  • '{Name:"InputDataConfig.ChannelName", "Operator":"Equals", "Value":"train"}',
  • '{Name:"InputDataConfig.DataSource.S3DataSource.S3Uri", "Operator":"Contains", "Value":"mybucket/catdata"}'

See: newNestedFilters smart constructor.

Constructors

NestedFilters' 

Fields

  • nestedPropertyName :: Text

    The name of the property to use in the nested filters. The value must match a listed property name, such as InputDataConfig.

  • filters :: NonEmpty Filter

    A list of filters. Each filter acts on a property. Filters must contain at least one Filters value. For example, a NestedFilters call might include a filter on the PropertyName parameter of the InputDataConfig property: InputDataConfig.DataSource.S3DataSource.S3Uri.

Instances

Instances details
ToJSON NestedFilters Source # 
Instance details

Defined in Amazonka.SageMaker.Types.NestedFilters

Methods

toJSON :: NestedFilters -> Value #

toEncoding :: NestedFilters -> Encoding #

toJSONList :: [NestedFilters] -> Value #

toEncodingList :: [NestedFilters] -> Encoding #

Generic NestedFilters Source # 
Instance details

Defined in Amazonka.SageMaker.Types.NestedFilters

Associated Types

type Rep NestedFilters :: Type -> Type #

Methods

from :: NestedFilters -> Rep NestedFilters x #

to :: Rep NestedFilters x -> NestedFilters #

Read NestedFilters Source # 
Instance details

Defined in Amazonka.SageMaker.Types.NestedFilters

Methods

readsPrec :: Int -> ReadS NestedFilters #

readList :: ReadS [NestedFilters] #

readPrec :: ReadPrec NestedFilters #

readListPrec :: ReadPrec [NestedFilters] #

Show NestedFilters Source # 
Instance details

Defined in Amazonka.SageMaker.Types.NestedFilters

Methods

showsPrec :: Int -> NestedFilters -> ShowS #

show :: NestedFilters -> String #

showList :: [NestedFilters] -> ShowS #

NFData NestedFilters Source # 
Instance details

Defined in Amazonka.SageMaker.Types.NestedFilters

Methods

rnf :: NestedFilters -> () #

Eq NestedFilters Source # 
Instance details

Defined in Amazonka.SageMaker.Types.NestedFilters

Methods

(==) :: NestedFilters -> NestedFilters -> Bool #

(/=) :: NestedFilters -> NestedFilters -> Bool #

Hashable NestedFilters Source # 
Instance details

Defined in Amazonka.SageMaker.Types.NestedFilters

Methods

hashWithSalt :: Int -> NestedFilters -> Int #

hash :: NestedFilters -> Int #

type Rep NestedFilters Source # 
Instance details

Defined in Amazonka.SageMaker.Types.NestedFilters

type Rep NestedFilters = D1 ('MetaData "NestedFilters" "Amazonka.SageMaker.Types.NestedFilters" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "NestedFilters'" 'PrefixI 'True) (S1 ('MetaSel ('Just "nestedPropertyName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: S1 ('MetaSel ('Just "filters") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (NonEmpty Filter))))

newNestedFilters Source #

Arguments

:: Text

$sel:nestedPropertyName:NestedFilters'

-> NonEmpty Filter

$sel:filters:NestedFilters'

-> NestedFilters 

Create a value of NestedFilters with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:nestedPropertyName:NestedFilters', nestedFilters_nestedPropertyName - The name of the property to use in the nested filters. The value must match a listed property name, such as InputDataConfig.

$sel:filters:NestedFilters', nestedFilters_filters - A list of filters. Each filter acts on a property. Filters must contain at least one Filters value. For example, a NestedFilters call might include a filter on the PropertyName parameter of the InputDataConfig property: InputDataConfig.DataSource.S3DataSource.S3Uri.

nestedFilters_nestedPropertyName :: Lens' NestedFilters Text Source #

The name of the property to use in the nested filters. The value must match a listed property name, such as InputDataConfig.

nestedFilters_filters :: Lens' NestedFilters (NonEmpty Filter) Source #

A list of filters. Each filter acts on a property. Filters must contain at least one Filters value. For example, a NestedFilters call might include a filter on the PropertyName parameter of the InputDataConfig property: InputDataConfig.DataSource.S3DataSource.S3Uri.

NetworkConfig

data NetworkConfig Source #

Networking options for a job, such as network traffic encryption between containers, whether to allow inbound and outbound network calls to and from containers, and the VPC subnets and security groups to use for VPC-enabled jobs.

See: newNetworkConfig smart constructor.

Constructors

NetworkConfig' 

Fields

Instances

Instances details
FromJSON NetworkConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.NetworkConfig

Methods

parseJSON :: Value -> Parser NetworkConfig #

parseJSONList :: Value -> Parser [NetworkConfig] #

ToJSON NetworkConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.NetworkConfig

Methods

toJSON :: NetworkConfig -> Value #

toEncoding :: NetworkConfig -> Encoding #

toJSONList :: [NetworkConfig] -> Value #

toEncodingList :: [NetworkConfig] -> Encoding #

Generic NetworkConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.NetworkConfig

Associated Types

type Rep NetworkConfig :: Type -> Type #

Methods

from :: NetworkConfig -> Rep NetworkConfig x #

to :: Rep NetworkConfig x -> NetworkConfig #

Read NetworkConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.NetworkConfig

Methods

readsPrec :: Int -> ReadS NetworkConfig #

readList :: ReadS [NetworkConfig] #

readPrec :: ReadPrec NetworkConfig #

readListPrec :: ReadPrec [NetworkConfig] #

Show NetworkConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.NetworkConfig

Methods

showsPrec :: Int -> NetworkConfig -> ShowS #

show :: NetworkConfig -> String #

showList :: [NetworkConfig] -> ShowS #

NFData NetworkConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.NetworkConfig

Methods

rnf :: NetworkConfig -> () #

Eq NetworkConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.NetworkConfig

Methods

(==) :: NetworkConfig -> NetworkConfig -> Bool #

(/=) :: NetworkConfig -> NetworkConfig -> Bool #

Hashable NetworkConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.NetworkConfig

Methods

hashWithSalt :: Int -> NetworkConfig -> Int #

hash :: NetworkConfig -> Int #

type Rep NetworkConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.NetworkConfig

type Rep NetworkConfig = D1 ('MetaData "NetworkConfig" "Amazonka.SageMaker.Types.NetworkConfig" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "NetworkConfig'" 'PrefixI 'True) (S1 ('MetaSel ('Just "enableInterContainerTrafficEncryption") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Bool)) :*: (S1 ('MetaSel ('Just "enableNetworkIsolation") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Bool)) :*: S1 ('MetaSel ('Just "vpcConfig") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe VpcConfig)))))

newNetworkConfig :: NetworkConfig Source #

Create a value of NetworkConfig with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:enableInterContainerTrafficEncryption:NetworkConfig', networkConfig_enableInterContainerTrafficEncryption - Whether to encrypt all communications between distributed processing jobs. Choose True to encrypt communications. Encryption provides greater security for distributed processing jobs, but the processing might take longer.

$sel:enableNetworkIsolation:NetworkConfig', networkConfig_enableNetworkIsolation - Whether to allow inbound and outbound network calls to and from the containers used for the processing job.

$sel:vpcConfig:NetworkConfig', networkConfig_vpcConfig - Undocumented member.

networkConfig_enableInterContainerTrafficEncryption :: Lens' NetworkConfig (Maybe Bool) Source #

Whether to encrypt all communications between distributed processing jobs. Choose True to encrypt communications. Encryption provides greater security for distributed processing jobs, but the processing might take longer.

networkConfig_enableNetworkIsolation :: Lens' NetworkConfig (Maybe Bool) Source #

Whether to allow inbound and outbound network calls to and from the containers used for the processing job.

networkConfig_vpcConfig :: Lens' NetworkConfig (Maybe VpcConfig) Source #

Undocumented member.

NotebookInstanceLifecycleConfigSummary

data NotebookInstanceLifecycleConfigSummary Source #

Provides a summary of a notebook instance lifecycle configuration.

See: newNotebookInstanceLifecycleConfigSummary smart constructor.

Constructors

NotebookInstanceLifecycleConfigSummary' 

Fields

Instances

Instances details
FromJSON NotebookInstanceLifecycleConfigSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.NotebookInstanceLifecycleConfigSummary

Methods

parseJSON :: Value -> Parser NotebookInstanceLifecycleConfigSummary #

parseJSONList :: Value -> Parser [NotebookInstanceLifecycleConfigSummary] #

Generic NotebookInstanceLifecycleConfigSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.NotebookInstanceLifecycleConfigSummary

Associated Types

type Rep NotebookInstanceLifecycleConfigSummary :: Type -> Type #

Methods

from :: NotebookInstanceLifecycleConfigSummary -> Rep NotebookInstanceLifecycleConfigSummary x #

to :: Rep NotebookInstanceLifecycleConfigSummary x -> NotebookInstanceLifecycleConfigSummary #

Read NotebookInstanceLifecycleConfigSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.NotebookInstanceLifecycleConfigSummary

Methods

readsPrec :: Int -> ReadS NotebookInstanceLifecycleConfigSummary #

readList :: ReadS [NotebookInstanceLifecycleConfigSummary] #

readPrec :: ReadPrec NotebookInstanceLifecycleConfigSummary #

readListPrec :: ReadPrec [NotebookInstanceLifecycleConfigSummary] #

Show NotebookInstanceLifecycleConfigSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.NotebookInstanceLifecycleConfigSummary

Methods

showsPrec :: Int -> NotebookInstanceLifecycleConfigSummary -> ShowS #

show :: NotebookInstanceLifecycleConfigSummary -> String #

showList :: [NotebookInstanceLifecycleConfigSummary] -> ShowS #

NFData NotebookInstanceLifecycleConfigSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.NotebookInstanceLifecycleConfigSummary

Methods

rnf :: NotebookInstanceLifecycleConfigSummary -> () #

Eq NotebookInstanceLifecycleConfigSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.NotebookInstanceLifecycleConfigSummary

Methods

(==) :: NotebookInstanceLifecycleConfigSummary -> NotebookInstanceLifecycleConfigSummary -> Bool #

(/=) :: NotebookInstanceLifecycleConfigSummary -> NotebookInstanceLifecycleConfigSummary -> Bool #

Hashable NotebookInstanceLifecycleConfigSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.NotebookInstanceLifecycleConfigSummary

Methods

hashWithSalt :: Int -> NotebookInstanceLifecycleConfigSummary -> Int #

hash :: NotebookInstanceLifecycleConfigSummary -> Int #

type Rep NotebookInstanceLifecycleConfigSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.NotebookInstanceLifecycleConfigSummary

type Rep NotebookInstanceLifecycleConfigSummary = D1 ('MetaData "NotebookInstanceLifecycleConfigSummary" "Amazonka.SageMaker.Types.NotebookInstanceLifecycleConfigSummary" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "NotebookInstanceLifecycleConfigSummary'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "creationTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :*: S1 ('MetaSel ('Just "lastModifiedTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX))) :*: (S1 ('MetaSel ('Just "notebookInstanceLifecycleConfigName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: S1 ('MetaSel ('Just "notebookInstanceLifecycleConfigArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text))))

newNotebookInstanceLifecycleConfigSummary Source #

Arguments

:: Text

$sel:notebookInstanceLifecycleConfigName:NotebookInstanceLifecycleConfigSummary'

-> Text

$sel:notebookInstanceLifecycleConfigArn:NotebookInstanceLifecycleConfigSummary'

-> NotebookInstanceLifecycleConfigSummary 

Create a value of NotebookInstanceLifecycleConfigSummary with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:creationTime:NotebookInstanceLifecycleConfigSummary', notebookInstanceLifecycleConfigSummary_creationTime - A timestamp that tells when the lifecycle configuration was created.

$sel:lastModifiedTime:NotebookInstanceLifecycleConfigSummary', notebookInstanceLifecycleConfigSummary_lastModifiedTime - A timestamp that tells when the lifecycle configuration was last modified.

$sel:notebookInstanceLifecycleConfigName:NotebookInstanceLifecycleConfigSummary', notebookInstanceLifecycleConfigSummary_notebookInstanceLifecycleConfigName - The name of the lifecycle configuration.

$sel:notebookInstanceLifecycleConfigArn:NotebookInstanceLifecycleConfigSummary', notebookInstanceLifecycleConfigSummary_notebookInstanceLifecycleConfigArn - The Amazon Resource Name (ARN) of the lifecycle configuration.

notebookInstanceLifecycleConfigSummary_creationTime :: Lens' NotebookInstanceLifecycleConfigSummary (Maybe UTCTime) Source #

A timestamp that tells when the lifecycle configuration was created.

notebookInstanceLifecycleConfigSummary_lastModifiedTime :: Lens' NotebookInstanceLifecycleConfigSummary (Maybe UTCTime) Source #

A timestamp that tells when the lifecycle configuration was last modified.

notebookInstanceLifecycleConfigSummary_notebookInstanceLifecycleConfigName :: Lens' NotebookInstanceLifecycleConfigSummary Text Source #

The name of the lifecycle configuration.

notebookInstanceLifecycleConfigSummary_notebookInstanceLifecycleConfigArn :: Lens' NotebookInstanceLifecycleConfigSummary Text Source #

The Amazon Resource Name (ARN) of the lifecycle configuration.

NotebookInstanceLifecycleHook

data NotebookInstanceLifecycleHook Source #

Contains the notebook instance lifecycle configuration script.

Each lifecycle configuration script has a limit of 16384 characters.

The value of the $PATH environment variable that is available to both scripts is /sbin:bin:/usr/sbin:/usr/bin.

View CloudWatch Logs for notebook instance lifecycle configurations in log group /aws/sagemaker/NotebookInstances in log stream [notebook-instance-name]/[LifecycleConfigHook].

Lifecycle configuration scripts cannot run for longer than 5 minutes. If a script runs for longer than 5 minutes, it fails and the notebook instance is not created or started.

For information about notebook instance lifestyle configurations, see Step 2.1: (Optional) Customize a Notebook Instance.

See: newNotebookInstanceLifecycleHook smart constructor.

Constructors

NotebookInstanceLifecycleHook' 

Fields

  • content :: Maybe Text

    A base64-encoded string that contains a shell script for a notebook instance lifecycle configuration.

Instances

Instances details
FromJSON NotebookInstanceLifecycleHook Source # 
Instance details

Defined in Amazonka.SageMaker.Types.NotebookInstanceLifecycleHook

Methods

parseJSON :: Value -> Parser NotebookInstanceLifecycleHook #

parseJSONList :: Value -> Parser [NotebookInstanceLifecycleHook] #

ToJSON NotebookInstanceLifecycleHook Source # 
Instance details

Defined in Amazonka.SageMaker.Types.NotebookInstanceLifecycleHook

Methods

toJSON :: NotebookInstanceLifecycleHook -> Value #

toEncoding :: NotebookInstanceLifecycleHook -> Encoding #

toJSONList :: [NotebookInstanceLifecycleHook] -> Value #

toEncodingList :: [NotebookInstanceLifecycleHook] -> Encoding #

Generic NotebookInstanceLifecycleHook Source # 
Instance details

Defined in Amazonka.SageMaker.Types.NotebookInstanceLifecycleHook

Associated Types

type Rep NotebookInstanceLifecycleHook :: Type -> Type #

Methods

from :: NotebookInstanceLifecycleHook -> Rep NotebookInstanceLifecycleHook x #

to :: Rep NotebookInstanceLifecycleHook x -> NotebookInstanceLifecycleHook #

Read NotebookInstanceLifecycleHook Source # 
Instance details

Defined in Amazonka.SageMaker.Types.NotebookInstanceLifecycleHook

Methods

readsPrec :: Int -> ReadS NotebookInstanceLifecycleHook #

readList :: ReadS [NotebookInstanceLifecycleHook] #

readPrec :: ReadPrec NotebookInstanceLifecycleHook #

readListPrec :: ReadPrec [NotebookInstanceLifecycleHook] #

Show NotebookInstanceLifecycleHook Source # 
Instance details

Defined in Amazonka.SageMaker.Types.NotebookInstanceLifecycleHook

Methods

showsPrec :: Int -> NotebookInstanceLifecycleHook -> ShowS #

show :: NotebookInstanceLifecycleHook -> String #

showList :: [NotebookInstanceLifecycleHook] -> ShowS #

NFData NotebookInstanceLifecycleHook Source # 
Instance details

Defined in Amazonka.SageMaker.Types.NotebookInstanceLifecycleHook

Methods

rnf :: NotebookInstanceLifecycleHook -> () #

Eq NotebookInstanceLifecycleHook Source # 
Instance details

Defined in Amazonka.SageMaker.Types.NotebookInstanceLifecycleHook

Methods

(==) :: NotebookInstanceLifecycleHook -> NotebookInstanceLifecycleHook -> Bool #

(/=) :: NotebookInstanceLifecycleHook -> NotebookInstanceLifecycleHook -> Bool #

Hashable NotebookInstanceLifecycleHook Source # 
Instance details

Defined in Amazonka.SageMaker.Types.NotebookInstanceLifecycleHook

Methods

hashWithSalt :: Int -> NotebookInstanceLifecycleHook -> Int #

hash :: NotebookInstanceLifecycleHook -> Int #

type Rep NotebookInstanceLifecycleHook Source # 
Instance details

Defined in Amazonka.SageMaker.Types.NotebookInstanceLifecycleHook

type Rep NotebookInstanceLifecycleHook = D1 ('MetaData "NotebookInstanceLifecycleHook" "Amazonka.SageMaker.Types.NotebookInstanceLifecycleHook" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "NotebookInstanceLifecycleHook'" 'PrefixI 'True) (S1 ('MetaSel ('Just "content") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))

newNotebookInstanceLifecycleHook :: NotebookInstanceLifecycleHook Source #

Create a value of NotebookInstanceLifecycleHook with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:content:NotebookInstanceLifecycleHook', notebookInstanceLifecycleHook_content - A base64-encoded string that contains a shell script for a notebook instance lifecycle configuration.

notebookInstanceLifecycleHook_content :: Lens' NotebookInstanceLifecycleHook (Maybe Text) Source #

A base64-encoded string that contains a shell script for a notebook instance lifecycle configuration.

NotebookInstanceSummary

data NotebookInstanceSummary Source #

Provides summary information for an SageMaker notebook instance.

See: newNotebookInstanceSummary smart constructor.

Constructors

NotebookInstanceSummary' 

Fields

Instances

Instances details
FromJSON NotebookInstanceSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.NotebookInstanceSummary

Methods

parseJSON :: Value -> Parser NotebookInstanceSummary #

parseJSONList :: Value -> Parser [NotebookInstanceSummary] #

Generic NotebookInstanceSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.NotebookInstanceSummary

Associated Types

type Rep NotebookInstanceSummary :: Type -> Type #

Methods

from :: NotebookInstanceSummary -> Rep NotebookInstanceSummary x #

to :: Rep NotebookInstanceSummary x -> NotebookInstanceSummary #

Read NotebookInstanceSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.NotebookInstanceSummary

Methods

readsPrec :: Int -> ReadS NotebookInstanceSummary #

readList :: ReadS [NotebookInstanceSummary] #

readPrec :: ReadPrec NotebookInstanceSummary #

readListPrec :: ReadPrec [NotebookInstanceSummary] #

Show NotebookInstanceSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.NotebookInstanceSummary

Methods

showsPrec :: Int -> NotebookInstanceSummary -> ShowS #

show :: NotebookInstanceSummary -> String #

showList :: [NotebookInstanceSummary] -> ShowS #

NFData NotebookInstanceSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.NotebookInstanceSummary

Methods

rnf :: NotebookInstanceSummary -> () #

Eq NotebookInstanceSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.NotebookInstanceSummary

Methods

(==) :: NotebookInstanceSummary -> NotebookInstanceSummary -> Bool #

(/=) :: NotebookInstanceSummary -> NotebookInstanceSummary -> Bool #

Hashable NotebookInstanceSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.NotebookInstanceSummary

Methods

hashWithSalt :: Int -> NotebookInstanceSummary -> Int #

hash :: NotebookInstanceSummary -> Int #

type Rep NotebookInstanceSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.NotebookInstanceSummary

type Rep NotebookInstanceSummary = D1 ('MetaData "NotebookInstanceSummary" "Amazonka.SageMaker.Types.NotebookInstanceSummary" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "NotebookInstanceSummary'" 'PrefixI 'True) (((S1 ('MetaSel ('Just "additionalCodeRepositories") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [Text])) :*: S1 ('MetaSel ('Just "creationTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX))) :*: (S1 ('MetaSel ('Just "defaultCodeRepository") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: (S1 ('MetaSel ('Just "instanceType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe InstanceType)) :*: S1 ('MetaSel ('Just "lastModifiedTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX))))) :*: ((S1 ('MetaSel ('Just "notebookInstanceLifecycleConfigName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "notebookInstanceStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe NotebookInstanceStatus))) :*: (S1 ('MetaSel ('Just "url") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: (S1 ('MetaSel ('Just "notebookInstanceName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: S1 ('MetaSel ('Just "notebookInstanceArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text))))))

newNotebookInstanceSummary Source #

Arguments

:: Text

$sel:notebookInstanceName:NotebookInstanceSummary'

-> Text

$sel:notebookInstanceArn:NotebookInstanceSummary'

-> NotebookInstanceSummary 

Create a value of NotebookInstanceSummary with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:additionalCodeRepositories:NotebookInstanceSummary', notebookInstanceSummary_additionalCodeRepositories - An array of up to three Git repositories associated with the notebook instance. These can be either the names of Git repositories stored as resources in your account, or the URL of Git repositories in Amazon Web Services CodeCommit or in any other Git repository. These repositories are cloned at the same level as the default repository of your notebook instance. For more information, see Associating Git Repositories with SageMaker Notebook Instances.

$sel:creationTime:NotebookInstanceSummary', notebookInstanceSummary_creationTime - A timestamp that shows when the notebook instance was created.

$sel:defaultCodeRepository:NotebookInstanceSummary', notebookInstanceSummary_defaultCodeRepository - The Git repository associated with the notebook instance as its default code repository. This can be either the name of a Git repository stored as a resource in your account, or the URL of a Git repository in Amazon Web Services CodeCommit or in any other Git repository. When you open a notebook instance, it opens in the directory that contains this repository. For more information, see Associating Git Repositories with SageMaker Notebook Instances.

$sel:instanceType:NotebookInstanceSummary', notebookInstanceSummary_instanceType - The type of ML compute instance that the notebook instance is running on.

$sel:lastModifiedTime:NotebookInstanceSummary', notebookInstanceSummary_lastModifiedTime - A timestamp that shows when the notebook instance was last modified.

$sel:notebookInstanceLifecycleConfigName:NotebookInstanceSummary', notebookInstanceSummary_notebookInstanceLifecycleConfigName - The name of a notebook instance lifecycle configuration associated with this notebook instance.

For information about notebook instance lifestyle configurations, see Step 2.1: (Optional) Customize a Notebook Instance.

$sel:notebookInstanceStatus:NotebookInstanceSummary', notebookInstanceSummary_notebookInstanceStatus - The status of the notebook instance.

$sel:url:NotebookInstanceSummary', notebookInstanceSummary_url - The URL that you use to connect to the Jupyter notebook running in your notebook instance.

$sel:notebookInstanceName:NotebookInstanceSummary', notebookInstanceSummary_notebookInstanceName - The name of the notebook instance that you want a summary for.

$sel:notebookInstanceArn:NotebookInstanceSummary', notebookInstanceSummary_notebookInstanceArn - The Amazon Resource Name (ARN) of the notebook instance.

notebookInstanceSummary_additionalCodeRepositories :: Lens' NotebookInstanceSummary (Maybe [Text]) Source #

An array of up to three Git repositories associated with the notebook instance. These can be either the names of Git repositories stored as resources in your account, or the URL of Git repositories in Amazon Web Services CodeCommit or in any other Git repository. These repositories are cloned at the same level as the default repository of your notebook instance. For more information, see Associating Git Repositories with SageMaker Notebook Instances.

notebookInstanceSummary_creationTime :: Lens' NotebookInstanceSummary (Maybe UTCTime) Source #

A timestamp that shows when the notebook instance was created.

notebookInstanceSummary_defaultCodeRepository :: Lens' NotebookInstanceSummary (Maybe Text) Source #

The Git repository associated with the notebook instance as its default code repository. This can be either the name of a Git repository stored as a resource in your account, or the URL of a Git repository in Amazon Web Services CodeCommit or in any other Git repository. When you open a notebook instance, it opens in the directory that contains this repository. For more information, see Associating Git Repositories with SageMaker Notebook Instances.

notebookInstanceSummary_instanceType :: Lens' NotebookInstanceSummary (Maybe InstanceType) Source #

The type of ML compute instance that the notebook instance is running on.

notebookInstanceSummary_lastModifiedTime :: Lens' NotebookInstanceSummary (Maybe UTCTime) Source #

A timestamp that shows when the notebook instance was last modified.

notebookInstanceSummary_notebookInstanceLifecycleConfigName :: Lens' NotebookInstanceSummary (Maybe Text) Source #

The name of a notebook instance lifecycle configuration associated with this notebook instance.

For information about notebook instance lifestyle configurations, see Step 2.1: (Optional) Customize a Notebook Instance.

notebookInstanceSummary_notebookInstanceStatus :: Lens' NotebookInstanceSummary (Maybe NotebookInstanceStatus) Source #

The status of the notebook instance.

notebookInstanceSummary_url :: Lens' NotebookInstanceSummary (Maybe Text) Source #

The URL that you use to connect to the Jupyter notebook running in your notebook instance.

notebookInstanceSummary_notebookInstanceName :: Lens' NotebookInstanceSummary Text Source #

The name of the notebook instance that you want a summary for.

notebookInstanceSummary_notebookInstanceArn :: Lens' NotebookInstanceSummary Text Source #

The Amazon Resource Name (ARN) of the notebook instance.

NotificationConfiguration

data NotificationConfiguration Source #

Configures Amazon SNS notifications of available or expiring work items for work teams.

See: newNotificationConfiguration smart constructor.

Constructors

NotificationConfiguration' 

Fields

Instances

Instances details
FromJSON NotificationConfiguration Source # 
Instance details

Defined in Amazonka.SageMaker.Types.NotificationConfiguration

Methods

parseJSON :: Value -> Parser NotificationConfiguration #

parseJSONList :: Value -> Parser [NotificationConfiguration] #

ToJSON NotificationConfiguration Source # 
Instance details

Defined in Amazonka.SageMaker.Types.NotificationConfiguration

Methods

toJSON :: NotificationConfiguration -> Value #

toEncoding :: NotificationConfiguration -> Encoding #

toJSONList :: [NotificationConfiguration] -> Value #

toEncodingList :: [NotificationConfiguration] -> Encoding #

Generic NotificationConfiguration Source # 
Instance details

Defined in Amazonka.SageMaker.Types.NotificationConfiguration

Associated Types

type Rep NotificationConfiguration :: Type -> Type #

Methods

from :: NotificationConfiguration -> Rep NotificationConfiguration x #

to :: Rep NotificationConfiguration x -> NotificationConfiguration #

Read NotificationConfiguration Source # 
Instance details

Defined in Amazonka.SageMaker.Types.NotificationConfiguration

Methods

readsPrec :: Int -> ReadS NotificationConfiguration #

readList :: ReadS [NotificationConfiguration] #

readPrec :: ReadPrec NotificationConfiguration #

readListPrec :: ReadPrec [NotificationConfiguration] #

Show NotificationConfiguration Source # 
Instance details

Defined in Amazonka.SageMaker.Types.NotificationConfiguration

Methods

showsPrec :: Int -> NotificationConfiguration -> ShowS #

show :: NotificationConfiguration -> String #

showList :: [NotificationConfiguration] -> ShowS #

NFData NotificationConfiguration Source # 
Instance details

Defined in Amazonka.SageMaker.Types.NotificationConfiguration

Methods

rnf :: NotificationConfiguration -> () #

Eq NotificationConfiguration Source # 
Instance details

Defined in Amazonka.SageMaker.Types.NotificationConfiguration

Methods

(==) :: NotificationConfiguration -> NotificationConfiguration -> Bool #

(/=) :: NotificationConfiguration -> NotificationConfiguration -> Bool #

Hashable NotificationConfiguration Source # 
Instance details

Defined in Amazonka.SageMaker.Types.NotificationConfiguration

Methods

hashWithSalt :: Int -> NotificationConfiguration -> Int #

hash :: NotificationConfiguration -> Int #

type Rep NotificationConfiguration Source # 
Instance details

Defined in Amazonka.SageMaker.Types.NotificationConfiguration

type Rep NotificationConfiguration = D1 ('MetaData "NotificationConfiguration" "Amazonka.SageMaker.Types.NotificationConfiguration" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "NotificationConfiguration'" 'PrefixI 'True) (S1 ('MetaSel ('Just "notificationTopicArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))

newNotificationConfiguration :: NotificationConfiguration Source #

Create a value of NotificationConfiguration with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:notificationTopicArn:NotificationConfiguration', notificationConfiguration_notificationTopicArn - The ARN for the Amazon SNS topic to which notifications should be published.

notificationConfiguration_notificationTopicArn :: Lens' NotificationConfiguration (Maybe Text) Source #

The ARN for the Amazon SNS topic to which notifications should be published.

ObjectiveStatusCounters

data ObjectiveStatusCounters Source #

Specifies the number of training jobs that this hyperparameter tuning job launched, categorized by the status of their objective metric. The objective metric status shows whether the final objective metric for the training job has been evaluated by the tuning job and used in the hyperparameter tuning process.

See: newObjectiveStatusCounters smart constructor.

Constructors

ObjectiveStatusCounters' 

Fields

  • failed :: Maybe Natural

    The number of training jobs whose final objective metric was not evaluated and used in the hyperparameter tuning process. This typically occurs when the training job failed or did not emit an objective metric.

  • pending :: Maybe Natural

    The number of training jobs that are in progress and pending evaluation of their final objective metric.

  • succeeded :: Maybe Natural

    The number of training jobs whose final objective metric was evaluated by the hyperparameter tuning job and used in the hyperparameter tuning process.

Instances

Instances details
FromJSON ObjectiveStatusCounters Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ObjectiveStatusCounters

Methods

parseJSON :: Value -> Parser ObjectiveStatusCounters #

parseJSONList :: Value -> Parser [ObjectiveStatusCounters] #

Generic ObjectiveStatusCounters Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ObjectiveStatusCounters

Associated Types

type Rep ObjectiveStatusCounters :: Type -> Type #

Methods

from :: ObjectiveStatusCounters -> Rep ObjectiveStatusCounters x #

to :: Rep ObjectiveStatusCounters x -> ObjectiveStatusCounters #

Read ObjectiveStatusCounters Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ObjectiveStatusCounters

Methods

readsPrec :: Int -> ReadS ObjectiveStatusCounters #

readList :: ReadS [ObjectiveStatusCounters] #

readPrec :: ReadPrec ObjectiveStatusCounters #

readListPrec :: ReadPrec [ObjectiveStatusCounters] #

Show ObjectiveStatusCounters Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ObjectiveStatusCounters

Methods

showsPrec :: Int -> ObjectiveStatusCounters -> ShowS #

show :: ObjectiveStatusCounters -> String #

showList :: [ObjectiveStatusCounters] -> ShowS #

NFData ObjectiveStatusCounters Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ObjectiveStatusCounters

Methods

rnf :: ObjectiveStatusCounters -> () #

Eq ObjectiveStatusCounters Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ObjectiveStatusCounters

Methods

(==) :: ObjectiveStatusCounters -> ObjectiveStatusCounters -> Bool #

(/=) :: ObjectiveStatusCounters -> ObjectiveStatusCounters -> Bool #

Hashable ObjectiveStatusCounters Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ObjectiveStatusCounters

Methods

hashWithSalt :: Int -> ObjectiveStatusCounters -> Int #

hash :: ObjectiveStatusCounters -> Int #

type Rep ObjectiveStatusCounters Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ObjectiveStatusCounters

type Rep ObjectiveStatusCounters = D1 ('MetaData "ObjectiveStatusCounters" "Amazonka.SageMaker.Types.ObjectiveStatusCounters" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "ObjectiveStatusCounters'" 'PrefixI 'True) (S1 ('MetaSel ('Just "failed") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural)) :*: (S1 ('MetaSel ('Just "pending") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural)) :*: S1 ('MetaSel ('Just "succeeded") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural)))))

newObjectiveStatusCounters :: ObjectiveStatusCounters Source #

Create a value of ObjectiveStatusCounters with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:failed:ObjectiveStatusCounters', objectiveStatusCounters_failed - The number of training jobs whose final objective metric was not evaluated and used in the hyperparameter tuning process. This typically occurs when the training job failed or did not emit an objective metric.

$sel:pending:ObjectiveStatusCounters', objectiveStatusCounters_pending - The number of training jobs that are in progress and pending evaluation of their final objective metric.

$sel:succeeded:ObjectiveStatusCounters', objectiveStatusCounters_succeeded - The number of training jobs whose final objective metric was evaluated by the hyperparameter tuning job and used in the hyperparameter tuning process.

objectiveStatusCounters_failed :: Lens' ObjectiveStatusCounters (Maybe Natural) Source #

The number of training jobs whose final objective metric was not evaluated and used in the hyperparameter tuning process. This typically occurs when the training job failed or did not emit an objective metric.

objectiveStatusCounters_pending :: Lens' ObjectiveStatusCounters (Maybe Natural) Source #

The number of training jobs that are in progress and pending evaluation of their final objective metric.

objectiveStatusCounters_succeeded :: Lens' ObjectiveStatusCounters (Maybe Natural) Source #

The number of training jobs whose final objective metric was evaluated by the hyperparameter tuning job and used in the hyperparameter tuning process.

OfflineStoreConfig

data OfflineStoreConfig Source #

The configuration of an OfflineStore.

Provide an OfflineStoreConfig in a request to CreateFeatureGroup to create an OfflineStore.

To encrypt an OfflineStore using at rest data encryption, specify Amazon Web Services Key Management Service (KMS) key ID, or KMSKeyId, in S3StorageConfig.

See: newOfflineStoreConfig smart constructor.

Constructors

OfflineStoreConfig' 

Fields

Instances

Instances details
FromJSON OfflineStoreConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.OfflineStoreConfig

Methods

parseJSON :: Value -> Parser OfflineStoreConfig #

parseJSONList :: Value -> Parser [OfflineStoreConfig] #

ToJSON OfflineStoreConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.OfflineStoreConfig

Methods

toJSON :: OfflineStoreConfig -> Value #

toEncoding :: OfflineStoreConfig -> Encoding #

toJSONList :: [OfflineStoreConfig] -> Value #

toEncodingList :: [OfflineStoreConfig] -> Encoding #

Generic OfflineStoreConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.OfflineStoreConfig

Associated Types

type Rep OfflineStoreConfig :: Type -> Type #

Methods

from :: OfflineStoreConfig -> Rep OfflineStoreConfig x #

to :: Rep OfflineStoreConfig x -> OfflineStoreConfig #

Read OfflineStoreConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.OfflineStoreConfig

Methods

readsPrec :: Int -> ReadS OfflineStoreConfig #

readList :: ReadS [OfflineStoreConfig] #

readPrec :: ReadPrec OfflineStoreConfig #

readListPrec :: ReadPrec [OfflineStoreConfig] #

Show OfflineStoreConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.OfflineStoreConfig

Methods

showsPrec :: Int -> OfflineStoreConfig -> ShowS #

show :: OfflineStoreConfig -> String #

showList :: [OfflineStoreConfig] -> ShowS #

NFData OfflineStoreConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.OfflineStoreConfig

Methods

rnf :: OfflineStoreConfig -> () #

Eq OfflineStoreConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.OfflineStoreConfig

Methods

(==) :: OfflineStoreConfig -> OfflineStoreConfig -> Bool #

(/=) :: OfflineStoreConfig -> OfflineStoreConfig -> Bool #

Hashable OfflineStoreConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.OfflineStoreConfig

Methods

hashWithSalt :: Int -> OfflineStoreConfig -> Int #

hash :: OfflineStoreConfig -> Int #

type Rep OfflineStoreConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.OfflineStoreConfig

type Rep OfflineStoreConfig = D1 ('MetaData "OfflineStoreConfig" "Amazonka.SageMaker.Types.OfflineStoreConfig" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "OfflineStoreConfig'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "dataCatalogConfig") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe DataCatalogConfig)) :*: S1 ('MetaSel ('Just "disableGlueTableCreation") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Bool))) :*: (S1 ('MetaSel ('Just "tableFormat") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe TableFormat)) :*: S1 ('MetaSel ('Just "s3StorageConfig") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 S3StorageConfig))))

newOfflineStoreConfig Source #

Arguments

:: S3StorageConfig

$sel:s3StorageConfig:OfflineStoreConfig'

-> OfflineStoreConfig 

Create a value of OfflineStoreConfig with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:dataCatalogConfig:OfflineStoreConfig', offlineStoreConfig_dataCatalogConfig - The meta data of the Glue table that is autogenerated when an OfflineStore is created.

$sel:disableGlueTableCreation:OfflineStoreConfig', offlineStoreConfig_disableGlueTableCreation - Set to True to disable the automatic creation of an Amazon Web Services Glue table when configuring an OfflineStore.

$sel:tableFormat:OfflineStoreConfig', offlineStoreConfig_tableFormat - Format for the offline store table. Supported formats are Glue (Default) and Apache Iceberg.

$sel:s3StorageConfig:OfflineStoreConfig', offlineStoreConfig_s3StorageConfig - The Amazon Simple Storage (Amazon S3) location of OfflineStore.

offlineStoreConfig_dataCatalogConfig :: Lens' OfflineStoreConfig (Maybe DataCatalogConfig) Source #

The meta data of the Glue table that is autogenerated when an OfflineStore is created.

offlineStoreConfig_disableGlueTableCreation :: Lens' OfflineStoreConfig (Maybe Bool) Source #

Set to True to disable the automatic creation of an Amazon Web Services Glue table when configuring an OfflineStore.

offlineStoreConfig_tableFormat :: Lens' OfflineStoreConfig (Maybe TableFormat) Source #

Format for the offline store table. Supported formats are Glue (Default) and Apache Iceberg.

offlineStoreConfig_s3StorageConfig :: Lens' OfflineStoreConfig S3StorageConfig Source #

The Amazon Simple Storage (Amazon S3) location of OfflineStore.

OfflineStoreStatus

data OfflineStoreStatus Source #

The status of OfflineStore.

See: newOfflineStoreStatus smart constructor.

Constructors

OfflineStoreStatus' 

Fields

Instances

Instances details
FromJSON OfflineStoreStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.OfflineStoreStatus

Methods

parseJSON :: Value -> Parser OfflineStoreStatus #

parseJSONList :: Value -> Parser [OfflineStoreStatus] #

Generic OfflineStoreStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.OfflineStoreStatus

Associated Types

type Rep OfflineStoreStatus :: Type -> Type #

Methods

from :: OfflineStoreStatus -> Rep OfflineStoreStatus x #

to :: Rep OfflineStoreStatus x -> OfflineStoreStatus #

Read OfflineStoreStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.OfflineStoreStatus

Methods

readsPrec :: Int -> ReadS OfflineStoreStatus #

readList :: ReadS [OfflineStoreStatus] #

readPrec :: ReadPrec OfflineStoreStatus #

readListPrec :: ReadPrec [OfflineStoreStatus] #

Show OfflineStoreStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.OfflineStoreStatus

Methods

showsPrec :: Int -> OfflineStoreStatus -> ShowS #

show :: OfflineStoreStatus -> String #

showList :: [OfflineStoreStatus] -> ShowS #

NFData OfflineStoreStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.OfflineStoreStatus

Methods

rnf :: OfflineStoreStatus -> () #

Eq OfflineStoreStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.OfflineStoreStatus

Methods

(==) :: OfflineStoreStatus -> OfflineStoreStatus -> Bool #

(/=) :: OfflineStoreStatus -> OfflineStoreStatus -> Bool #

Hashable OfflineStoreStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.OfflineStoreStatus

Methods

hashWithSalt :: Int -> OfflineStoreStatus -> Int #

hash :: OfflineStoreStatus -> Int #

type Rep OfflineStoreStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.OfflineStoreStatus

type Rep OfflineStoreStatus = D1 ('MetaData "OfflineStoreStatus" "Amazonka.SageMaker.Types.OfflineStoreStatus" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "OfflineStoreStatus'" 'PrefixI 'True) (S1 ('MetaSel ('Just "blockedReason") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "status") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 OfflineStoreStatusValue)))

newOfflineStoreStatus Source #

Arguments

:: OfflineStoreStatusValue

$sel:status:OfflineStoreStatus'

-> OfflineStoreStatus 

Create a value of OfflineStoreStatus with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:blockedReason:OfflineStoreStatus', offlineStoreStatus_blockedReason - The justification for why the OfflineStoreStatus is Blocked (if applicable).

$sel:status:OfflineStoreStatus', offlineStoreStatus_status - An OfflineStore status.

offlineStoreStatus_blockedReason :: Lens' OfflineStoreStatus (Maybe Text) Source #

The justification for why the OfflineStoreStatus is Blocked (if applicable).

offlineStoreStatus_status :: Lens' OfflineStoreStatus OfflineStoreStatusValue Source #

An OfflineStore status.

OidcConfig

data OidcConfig Source #

Use this parameter to configure your OIDC Identity Provider (IdP).

See: newOidcConfig smart constructor.

Constructors

OidcConfig' 

Fields

  • clientId :: Text

    The OIDC IdP client ID used to configure your private workforce.

  • clientSecret :: Sensitive Text

    The OIDC IdP client secret used to configure your private workforce.

  • issuer :: Text

    The OIDC IdP issuer used to configure your private workforce.

  • authorizationEndpoint :: Text

    The OIDC IdP authorization endpoint used to configure your private workforce.

  • tokenEndpoint :: Text

    The OIDC IdP token endpoint used to configure your private workforce.

  • userInfoEndpoint :: Text

    The OIDC IdP user information endpoint used to configure your private workforce.

  • logoutEndpoint :: Text

    The OIDC IdP logout endpoint used to configure your private workforce.

  • jwksUri :: Text

    The OIDC IdP JSON Web Key Set (Jwks) URI used to configure your private workforce.

Instances

Instances details
ToJSON OidcConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.OidcConfig

Methods

toJSON :: OidcConfig -> Value #

toEncoding :: OidcConfig -> Encoding #

toJSONList :: [OidcConfig] -> Value #

toEncodingList :: [OidcConfig] -> Encoding #

Generic OidcConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.OidcConfig

Associated Types

type Rep OidcConfig :: Type -> Type #

Methods

from :: OidcConfig -> Rep OidcConfig x #

to :: Rep OidcConfig x -> OidcConfig #

Show OidcConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.OidcConfig

Methods

showsPrec :: Int -> OidcConfig -> ShowS #

show :: OidcConfig -> String #

showList :: [OidcConfig] -> ShowS #

NFData OidcConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.OidcConfig

Methods

rnf :: OidcConfig -> () #

Eq OidcConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.OidcConfig

Methods

(==) :: OidcConfig -> OidcConfig -> Bool #

(/=) :: OidcConfig -> OidcConfig -> Bool #

Hashable OidcConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.OidcConfig

Methods

hashWithSalt :: Int -> OidcConfig -> Int #

hash :: OidcConfig -> Int #

type Rep OidcConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.OidcConfig

type Rep OidcConfig = D1 ('MetaData "OidcConfig" "Amazonka.SageMaker.Types.OidcConfig" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "OidcConfig'" 'PrefixI 'True) (((S1 ('MetaSel ('Just "clientId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: S1 ('MetaSel ('Just "clientSecret") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Sensitive Text))) :*: (S1 ('MetaSel ('Just "issuer") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: S1 ('MetaSel ('Just "authorizationEndpoint") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text))) :*: ((S1 ('MetaSel ('Just "tokenEndpoint") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: S1 ('MetaSel ('Just "userInfoEndpoint") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)) :*: (S1 ('MetaSel ('Just "logoutEndpoint") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: S1 ('MetaSel ('Just "jwksUri") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))))

newOidcConfig Source #

Arguments

:: Text

$sel:clientId:OidcConfig'

-> Text

$sel:clientSecret:OidcConfig'

-> Text

$sel:issuer:OidcConfig'

-> Text

$sel:authorizationEndpoint:OidcConfig'

-> Text

$sel:tokenEndpoint:OidcConfig'

-> Text

$sel:userInfoEndpoint:OidcConfig'

-> Text

$sel:logoutEndpoint:OidcConfig'

-> Text

$sel:jwksUri:OidcConfig'

-> OidcConfig 

Create a value of OidcConfig with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:clientId:OidcConfig', oidcConfig_clientId - The OIDC IdP client ID used to configure your private workforce.

$sel:clientSecret:OidcConfig', oidcConfig_clientSecret - The OIDC IdP client secret used to configure your private workforce.

$sel:issuer:OidcConfig', oidcConfig_issuer - The OIDC IdP issuer used to configure your private workforce.

$sel:authorizationEndpoint:OidcConfig', oidcConfig_authorizationEndpoint - The OIDC IdP authorization endpoint used to configure your private workforce.

$sel:tokenEndpoint:OidcConfig', oidcConfig_tokenEndpoint - The OIDC IdP token endpoint used to configure your private workforce.

$sel:userInfoEndpoint:OidcConfig', oidcConfig_userInfoEndpoint - The OIDC IdP user information endpoint used to configure your private workforce.

$sel:logoutEndpoint:OidcConfig', oidcConfig_logoutEndpoint - The OIDC IdP logout endpoint used to configure your private workforce.

$sel:jwksUri:OidcConfig', oidcConfig_jwksUri - The OIDC IdP JSON Web Key Set (Jwks) URI used to configure your private workforce.

oidcConfig_clientId :: Lens' OidcConfig Text Source #

The OIDC IdP client ID used to configure your private workforce.

oidcConfig_clientSecret :: Lens' OidcConfig Text Source #

The OIDC IdP client secret used to configure your private workforce.

oidcConfig_issuer :: Lens' OidcConfig Text Source #

The OIDC IdP issuer used to configure your private workforce.

oidcConfig_authorizationEndpoint :: Lens' OidcConfig Text Source #

The OIDC IdP authorization endpoint used to configure your private workforce.

oidcConfig_tokenEndpoint :: Lens' OidcConfig Text Source #

The OIDC IdP token endpoint used to configure your private workforce.

oidcConfig_userInfoEndpoint :: Lens' OidcConfig Text Source #

The OIDC IdP user information endpoint used to configure your private workforce.

oidcConfig_logoutEndpoint :: Lens' OidcConfig Text Source #

The OIDC IdP logout endpoint used to configure your private workforce.

oidcConfig_jwksUri :: Lens' OidcConfig Text Source #

The OIDC IdP JSON Web Key Set (Jwks) URI used to configure your private workforce.

OidcConfigForResponse

data OidcConfigForResponse Source #

Your OIDC IdP workforce configuration.

See: newOidcConfigForResponse smart constructor.

Constructors

OidcConfigForResponse' 

Fields

Instances

Instances details
FromJSON OidcConfigForResponse Source # 
Instance details

Defined in Amazonka.SageMaker.Types.OidcConfigForResponse

Methods

parseJSON :: Value -> Parser OidcConfigForResponse #

parseJSONList :: Value -> Parser [OidcConfigForResponse] #

Generic OidcConfigForResponse Source # 
Instance details

Defined in Amazonka.SageMaker.Types.OidcConfigForResponse

Associated Types

type Rep OidcConfigForResponse :: Type -> Type #

Methods

from :: OidcConfigForResponse -> Rep OidcConfigForResponse x #

to :: Rep OidcConfigForResponse x -> OidcConfigForResponse #

Read OidcConfigForResponse Source # 
Instance details

Defined in Amazonka.SageMaker.Types.OidcConfigForResponse

Methods

readsPrec :: Int -> ReadS OidcConfigForResponse #

readList :: ReadS [OidcConfigForResponse] #

readPrec :: ReadPrec OidcConfigForResponse #

readListPrec :: ReadPrec [OidcConfigForResponse] #

Show OidcConfigForResponse Source # 
Instance details

Defined in Amazonka.SageMaker.Types.OidcConfigForResponse

Methods

showsPrec :: Int -> OidcConfigForResponse -> ShowS #

show :: OidcConfigForResponse -> String #

showList :: [OidcConfigForResponse] -> ShowS #

NFData OidcConfigForResponse Source # 
Instance details

Defined in Amazonka.SageMaker.Types.OidcConfigForResponse

Methods

rnf :: OidcConfigForResponse -> () #

Eq OidcConfigForResponse Source # 
Instance details

Defined in Amazonka.SageMaker.Types.OidcConfigForResponse

Methods

(==) :: OidcConfigForResponse -> OidcConfigForResponse -> Bool #

(/=) :: OidcConfigForResponse -> OidcConfigForResponse -> Bool #

Hashable OidcConfigForResponse Source # 
Instance details

Defined in Amazonka.SageMaker.Types.OidcConfigForResponse

Methods

hashWithSalt :: Int -> OidcConfigForResponse -> Int #

hash :: OidcConfigForResponse -> Int #

type Rep OidcConfigForResponse Source # 
Instance details

Defined in Amazonka.SageMaker.Types.OidcConfigForResponse

type Rep OidcConfigForResponse = D1 ('MetaData "OidcConfigForResponse" "Amazonka.SageMaker.Types.OidcConfigForResponse" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "OidcConfigForResponse'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "authorizationEndpoint") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: (S1 ('MetaSel ('Just "clientId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "issuer") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))) :*: ((S1 ('MetaSel ('Just "jwksUri") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "logoutEndpoint") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))) :*: (S1 ('MetaSel ('Just "tokenEndpoint") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "userInfoEndpoint") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))))

newOidcConfigForResponse :: OidcConfigForResponse Source #

Create a value of OidcConfigForResponse with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:authorizationEndpoint:OidcConfigForResponse', oidcConfigForResponse_authorizationEndpoint - The OIDC IdP authorization endpoint used to configure your private workforce.

$sel:clientId:OidcConfigForResponse', oidcConfigForResponse_clientId - The OIDC IdP client ID used to configure your private workforce.

$sel:issuer:OidcConfigForResponse', oidcConfigForResponse_issuer - The OIDC IdP issuer used to configure your private workforce.

$sel:jwksUri:OidcConfigForResponse', oidcConfigForResponse_jwksUri - The OIDC IdP JSON Web Key Set (Jwks) URI used to configure your private workforce.

$sel:logoutEndpoint:OidcConfigForResponse', oidcConfigForResponse_logoutEndpoint - The OIDC IdP logout endpoint used to configure your private workforce.

$sel:tokenEndpoint:OidcConfigForResponse', oidcConfigForResponse_tokenEndpoint - The OIDC IdP token endpoint used to configure your private workforce.

$sel:userInfoEndpoint:OidcConfigForResponse', oidcConfigForResponse_userInfoEndpoint - The OIDC IdP user information endpoint used to configure your private workforce.

oidcConfigForResponse_authorizationEndpoint :: Lens' OidcConfigForResponse (Maybe Text) Source #

The OIDC IdP authorization endpoint used to configure your private workforce.

oidcConfigForResponse_clientId :: Lens' OidcConfigForResponse (Maybe Text) Source #

The OIDC IdP client ID used to configure your private workforce.

oidcConfigForResponse_issuer :: Lens' OidcConfigForResponse (Maybe Text) Source #

The OIDC IdP issuer used to configure your private workforce.

oidcConfigForResponse_jwksUri :: Lens' OidcConfigForResponse (Maybe Text) Source #

The OIDC IdP JSON Web Key Set (Jwks) URI used to configure your private workforce.

oidcConfigForResponse_logoutEndpoint :: Lens' OidcConfigForResponse (Maybe Text) Source #

The OIDC IdP logout endpoint used to configure your private workforce.

oidcConfigForResponse_tokenEndpoint :: Lens' OidcConfigForResponse (Maybe Text) Source #

The OIDC IdP token endpoint used to configure your private workforce.

oidcConfigForResponse_userInfoEndpoint :: Lens' OidcConfigForResponse (Maybe Text) Source #

The OIDC IdP user information endpoint used to configure your private workforce.

OidcMemberDefinition

data OidcMemberDefinition Source #

A list of user groups that exist in your OIDC Identity Provider (IdP). One to ten groups can be used to create a single private work team. When you add a user group to the list of Groups, you can add that user group to one or more private work teams. If you add a user group to a private work team, all workers in that user group are added to the work team.

See: newOidcMemberDefinition smart constructor.

Constructors

OidcMemberDefinition' 

Fields

  • groups :: NonEmpty Text

    A list of comma seperated strings that identifies user groups in your OIDC IdP. Each user group is made up of a group of private workers.

Instances

Instances details
FromJSON OidcMemberDefinition Source # 
Instance details

Defined in Amazonka.SageMaker.Types.OidcMemberDefinition

Methods

parseJSON :: Value -> Parser OidcMemberDefinition #

parseJSONList :: Value -> Parser [OidcMemberDefinition] #

ToJSON OidcMemberDefinition Source # 
Instance details

Defined in Amazonka.SageMaker.Types.OidcMemberDefinition

Methods

toJSON :: OidcMemberDefinition -> Value #

toEncoding :: OidcMemberDefinition -> Encoding #

toJSONList :: [OidcMemberDefinition] -> Value #

toEncodingList :: [OidcMemberDefinition] -> Encoding #

Generic OidcMemberDefinition Source # 
Instance details

Defined in Amazonka.SageMaker.Types.OidcMemberDefinition

Associated Types

type Rep OidcMemberDefinition :: Type -> Type #

Methods

from :: OidcMemberDefinition -> Rep OidcMemberDefinition x #

to :: Rep OidcMemberDefinition x -> OidcMemberDefinition #

Read OidcMemberDefinition Source # 
Instance details

Defined in Amazonka.SageMaker.Types.OidcMemberDefinition

Methods

readsPrec :: Int -> ReadS OidcMemberDefinition #

readList :: ReadS [OidcMemberDefinition] #

readPrec :: ReadPrec OidcMemberDefinition #

readListPrec :: ReadPrec [OidcMemberDefinition] #

Show OidcMemberDefinition Source # 
Instance details

Defined in Amazonka.SageMaker.Types.OidcMemberDefinition

Methods

showsPrec :: Int -> OidcMemberDefinition -> ShowS #

show :: OidcMemberDefinition -> String #

showList :: [OidcMemberDefinition] -> ShowS #

NFData OidcMemberDefinition Source # 
Instance details

Defined in Amazonka.SageMaker.Types.OidcMemberDefinition

Methods

rnf :: OidcMemberDefinition -> () #

Eq OidcMemberDefinition Source # 
Instance details

Defined in Amazonka.SageMaker.Types.OidcMemberDefinition

Methods

(==) :: OidcMemberDefinition -> OidcMemberDefinition -> Bool #

(/=) :: OidcMemberDefinition -> OidcMemberDefinition -> Bool #

Hashable OidcMemberDefinition Source # 
Instance details

Defined in Amazonka.SageMaker.Types.OidcMemberDefinition

Methods

hashWithSalt :: Int -> OidcMemberDefinition -> Int #

hash :: OidcMemberDefinition -> Int #

type Rep OidcMemberDefinition Source # 
Instance details

Defined in Amazonka.SageMaker.Types.OidcMemberDefinition

type Rep OidcMemberDefinition = D1 ('MetaData "OidcMemberDefinition" "Amazonka.SageMaker.Types.OidcMemberDefinition" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "OidcMemberDefinition'" 'PrefixI 'True) (S1 ('MetaSel ('Just "groups") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (NonEmpty Text))))

newOidcMemberDefinition Source #

Arguments

:: NonEmpty Text

$sel:groups:OidcMemberDefinition'

-> OidcMemberDefinition 

Create a value of OidcMemberDefinition with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:groups:OidcMemberDefinition', oidcMemberDefinition_groups - A list of comma seperated strings that identifies user groups in your OIDC IdP. Each user group is made up of a group of private workers.

oidcMemberDefinition_groups :: Lens' OidcMemberDefinition (NonEmpty Text) Source #

A list of comma seperated strings that identifies user groups in your OIDC IdP. Each user group is made up of a group of private workers.

OnlineStoreConfig

data OnlineStoreConfig Source #

Use this to specify the Amazon Web Services Key Management Service (KMS) Key ID, or KMSKeyId, for at rest data encryption. You can turn OnlineStore on or off by specifying the EnableOnlineStore flag at General Assembly; the default value is False.

See: newOnlineStoreConfig smart constructor.

Constructors

OnlineStoreConfig' 

Fields

Instances

Instances details
FromJSON OnlineStoreConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.OnlineStoreConfig

Methods

parseJSON :: Value -> Parser OnlineStoreConfig #

parseJSONList :: Value -> Parser [OnlineStoreConfig] #

ToJSON OnlineStoreConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.OnlineStoreConfig

Methods

toJSON :: OnlineStoreConfig -> Value #

toEncoding :: OnlineStoreConfig -> Encoding #

toJSONList :: [OnlineStoreConfig] -> Value #

toEncodingList :: [OnlineStoreConfig] -> Encoding #

Generic OnlineStoreConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.OnlineStoreConfig

Associated Types

type Rep OnlineStoreConfig :: Type -> Type #

Methods

from :: OnlineStoreConfig -> Rep OnlineStoreConfig x #

to :: Rep OnlineStoreConfig x -> OnlineStoreConfig #

Read OnlineStoreConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.OnlineStoreConfig

Methods

readsPrec :: Int -> ReadS OnlineStoreConfig #

readList :: ReadS [OnlineStoreConfig] #

readPrec :: ReadPrec OnlineStoreConfig #

readListPrec :: ReadPrec [OnlineStoreConfig] #

Show OnlineStoreConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.OnlineStoreConfig

Methods

showsPrec :: Int -> OnlineStoreConfig -> ShowS #

show :: OnlineStoreConfig -> String #

showList :: [OnlineStoreConfig] -> ShowS #

NFData OnlineStoreConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.OnlineStoreConfig

Methods

rnf :: OnlineStoreConfig -> () #

Eq OnlineStoreConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.OnlineStoreConfig

Methods

(==) :: OnlineStoreConfig -> OnlineStoreConfig -> Bool #

(/=) :: OnlineStoreConfig -> OnlineStoreConfig -> Bool #

Hashable OnlineStoreConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.OnlineStoreConfig

Methods

hashWithSalt :: Int -> OnlineStoreConfig -> Int #

hash :: OnlineStoreConfig -> Int #

type Rep OnlineStoreConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.OnlineStoreConfig

type Rep OnlineStoreConfig = D1 ('MetaData "OnlineStoreConfig" "Amazonka.SageMaker.Types.OnlineStoreConfig" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "OnlineStoreConfig'" 'PrefixI 'True) (S1 ('MetaSel ('Just "enableOnlineStore") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Bool)) :*: S1 ('MetaSel ('Just "securityConfig") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe OnlineStoreSecurityConfig))))

newOnlineStoreConfig :: OnlineStoreConfig Source #

Create a value of OnlineStoreConfig with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:enableOnlineStore:OnlineStoreConfig', onlineStoreConfig_enableOnlineStore - Turn OnlineStore off by specifying False for the EnableOnlineStore flag. Turn OnlineStore on by specifying True for the EnableOnlineStore flag.

The default value is False.

$sel:securityConfig:OnlineStoreConfig', onlineStoreConfig_securityConfig - Use to specify KMS Key ID (KMSKeyId) for at-rest encryption of your OnlineStore.

onlineStoreConfig_enableOnlineStore :: Lens' OnlineStoreConfig (Maybe Bool) Source #

Turn OnlineStore off by specifying False for the EnableOnlineStore flag. Turn OnlineStore on by specifying True for the EnableOnlineStore flag.

The default value is False.

onlineStoreConfig_securityConfig :: Lens' OnlineStoreConfig (Maybe OnlineStoreSecurityConfig) Source #

Use to specify KMS Key ID (KMSKeyId) for at-rest encryption of your OnlineStore.

OnlineStoreSecurityConfig

data OnlineStoreSecurityConfig Source #

The security configuration for OnlineStore.

See: newOnlineStoreSecurityConfig smart constructor.

Constructors

OnlineStoreSecurityConfig' 

Fields

  • kmsKeyId :: Maybe Text

    The ID of the Amazon Web Services Key Management Service (Amazon Web Services KMS) key that SageMaker Feature Store uses to encrypt the Amazon S3 objects at rest using Amazon S3 server-side encryption.

    The caller (either IAM user or IAM role) of CreateFeatureGroup must have below permissions to the OnlineStore KmsKeyId:

    • "kms:Encrypt"
    • "kms:Decrypt"
    • "kms:DescribeKey"
    • "kms:CreateGrant"
    • "kms:RetireGrant"
    • "kms:ReEncryptFrom"
    • "kms:ReEncryptTo"
    • "kms:GenerateDataKey"
    • "kms:ListAliases"
    • "kms:ListGrants"
    • "kms:RevokeGrant"

    The caller (either IAM user or IAM role) to all DataPlane operations (PutRecord, GetRecord, DeleteRecord) must have the following permissions to the KmsKeyId:

    • "kms:Decrypt"

Instances

Instances details
FromJSON OnlineStoreSecurityConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.OnlineStoreSecurityConfig

Methods

parseJSON :: Value -> Parser OnlineStoreSecurityConfig #

parseJSONList :: Value -> Parser [OnlineStoreSecurityConfig] #

ToJSON OnlineStoreSecurityConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.OnlineStoreSecurityConfig

Methods

toJSON :: OnlineStoreSecurityConfig -> Value #

toEncoding :: OnlineStoreSecurityConfig -> Encoding #

toJSONList :: [OnlineStoreSecurityConfig] -> Value #

toEncodingList :: [OnlineStoreSecurityConfig] -> Encoding #

Generic OnlineStoreSecurityConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.OnlineStoreSecurityConfig

Associated Types

type Rep OnlineStoreSecurityConfig :: Type -> Type #

Methods

from :: OnlineStoreSecurityConfig -> Rep OnlineStoreSecurityConfig x #

to :: Rep OnlineStoreSecurityConfig x -> OnlineStoreSecurityConfig #

Read OnlineStoreSecurityConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.OnlineStoreSecurityConfig

Methods

readsPrec :: Int -> ReadS OnlineStoreSecurityConfig #

readList :: ReadS [OnlineStoreSecurityConfig] #

readPrec :: ReadPrec OnlineStoreSecurityConfig #

readListPrec :: ReadPrec [OnlineStoreSecurityConfig] #

Show OnlineStoreSecurityConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.OnlineStoreSecurityConfig

Methods

showsPrec :: Int -> OnlineStoreSecurityConfig -> ShowS #

show :: OnlineStoreSecurityConfig -> String #

showList :: [OnlineStoreSecurityConfig] -> ShowS #

NFData OnlineStoreSecurityConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.OnlineStoreSecurityConfig

Methods

rnf :: OnlineStoreSecurityConfig -> () #

Eq OnlineStoreSecurityConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.OnlineStoreSecurityConfig

Methods

(==) :: OnlineStoreSecurityConfig -> OnlineStoreSecurityConfig -> Bool #

(/=) :: OnlineStoreSecurityConfig -> OnlineStoreSecurityConfig -> Bool #

Hashable OnlineStoreSecurityConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.OnlineStoreSecurityConfig

Methods

hashWithSalt :: Int -> OnlineStoreSecurityConfig -> Int #

hash :: OnlineStoreSecurityConfig -> Int #

type Rep OnlineStoreSecurityConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.OnlineStoreSecurityConfig

type Rep OnlineStoreSecurityConfig = D1 ('MetaData "OnlineStoreSecurityConfig" "Amazonka.SageMaker.Types.OnlineStoreSecurityConfig" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "OnlineStoreSecurityConfig'" 'PrefixI 'True) (S1 ('MetaSel ('Just "kmsKeyId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))

newOnlineStoreSecurityConfig :: OnlineStoreSecurityConfig Source #

Create a value of OnlineStoreSecurityConfig with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:kmsKeyId:OnlineStoreSecurityConfig', onlineStoreSecurityConfig_kmsKeyId - The ID of the Amazon Web Services Key Management Service (Amazon Web Services KMS) key that SageMaker Feature Store uses to encrypt the Amazon S3 objects at rest using Amazon S3 server-side encryption.

The caller (either IAM user or IAM role) of CreateFeatureGroup must have below permissions to the OnlineStore KmsKeyId:

  • "kms:Encrypt"
  • "kms:Decrypt"
  • "kms:DescribeKey"
  • "kms:CreateGrant"
  • "kms:RetireGrant"
  • "kms:ReEncryptFrom"
  • "kms:ReEncryptTo"
  • "kms:GenerateDataKey"
  • "kms:ListAliases"
  • "kms:ListGrants"
  • "kms:RevokeGrant"

The caller (either IAM user or IAM role) to all DataPlane operations (PutRecord, GetRecord, DeleteRecord) must have the following permissions to the KmsKeyId:

  • "kms:Decrypt"

onlineStoreSecurityConfig_kmsKeyId :: Lens' OnlineStoreSecurityConfig (Maybe Text) Source #

The ID of the Amazon Web Services Key Management Service (Amazon Web Services KMS) key that SageMaker Feature Store uses to encrypt the Amazon S3 objects at rest using Amazon S3 server-side encryption.

The caller (either IAM user or IAM role) of CreateFeatureGroup must have below permissions to the OnlineStore KmsKeyId:

  • "kms:Encrypt"
  • "kms:Decrypt"
  • "kms:DescribeKey"
  • "kms:CreateGrant"
  • "kms:RetireGrant"
  • "kms:ReEncryptFrom"
  • "kms:ReEncryptTo"
  • "kms:GenerateDataKey"
  • "kms:ListAliases"
  • "kms:ListGrants"
  • "kms:RevokeGrant"

The caller (either IAM user or IAM role) to all DataPlane operations (PutRecord, GetRecord, DeleteRecord) must have the following permissions to the KmsKeyId:

  • "kms:Decrypt"

OutputConfig

data OutputConfig Source #

Contains information about the output location for the compiled model and the target device that the model runs on. TargetDevice and TargetPlatform are mutually exclusive, so you need to choose one between the two to specify your target device or platform. If you cannot find your device you want to use from the TargetDevice list, use TargetPlatform to describe the platform of your edge device and CompilerOptions if there are specific settings that are required or recommended to use for particular TargetPlatform.

See: newOutputConfig smart constructor.

Constructors

OutputConfig' 

Fields

  • compilerOptions :: Maybe Text

    Specifies additional parameters for compiler options in JSON format. The compiler options are TargetPlatform specific. It is required for NVIDIA accelerators and highly recommended for CPU compilations. For any other cases, it is optional to specify CompilerOptions.

    • DTYPE: Specifies the data type for the input. When compiling for ml_* (except for ml_inf) instances using PyTorch framework, provide the data type (dtype) of the model's input. "float32" is used if "DTYPE" is not specified. Options for data type are:

      • float32: Use either "float" or "float32".
      • int64: Use either "int64" or "long".

      For example, {"dtype" : "float32"}.

    • CPU: Compilation for CPU supports the following compiler options.

      • mcpu: CPU micro-architecture. For example, {'mcpu': 'skylake-avx512'}
      • mattr: CPU flags. For example, {'mattr': ['+neon', '+vfpv4']}

    • ARM: Details of ARM CPU compilations.

      • NEON: NEON is an implementation of the Advanced SIMD extension used in ARMv7 processors.

        For example, add {'mattr': ['+neon']} to the compiler options if compiling for ARM 32-bit platform with the NEON support.

    • NVIDIA: Compilation for NVIDIA GPU supports the following compiler options.

      • gpu_code: Specifies the targeted architecture.
      • trt-ver: Specifies the TensorRT versions in x.y.z. format.
      • cuda-ver: Specifies the CUDA version in x.y format.

      For example, {'gpu-code': 'sm_72', 'trt-ver': '6.0.1', 'cuda-ver': '10.1'}

    • ANDROID: Compilation for the Android OS supports the following compiler options:

      • ANDROID_PLATFORM: Specifies the Android API levels. Available levels range from 21 to 29. For example, {'ANDROID_PLATFORM': 28}.
      • mattr: Add {'mattr': ['+neon']} to compiler options if compiling for ARM 32-bit platform with NEON support.

    • INFERENTIA: Compilation for target ml_inf1 uses compiler options passed in as a JSON string. For example, "CompilerOptions": "\"--verbose 1 --num-neuroncores 2 -O2\"".

      For information about supported compiler options, see Neuron Compiler CLI.

    • CoreML: Compilation for the CoreML OutputConfig$TargetDevice supports the following compiler options:

      • class_labels: Specifies the classification labels file name inside input tar.gz file. For example, {"class_labels": "imagenet_labels_1000.txt"}. Labels inside the txt file should be separated by newlines.

    • EIA: Compilation for the Elastic Inference Accelerator supports the following compiler options:

      • precision_mode: Specifies the precision of compiled artifacts. Supported values are "FP16" and "FP32". Default is "FP32".
      • signature_def_key: Specifies the signature to use for models in SavedModel format. Defaults is TensorFlow's default signature def key.
      • output_names: Specifies a list of output tensor names for models in FrozenGraph format. Set at most one API field, either: signature_def_key or output_names.

      For example: {"precision_mode": "FP32", "output_names": ["output:0"]}

  • kmsKeyId :: Maybe Text

    The Amazon Web Services Key Management Service key (Amazon Web Services KMS) that Amazon SageMaker uses to encrypt your output models with Amazon S3 server-side encryption after compilation job. If you don't provide a KMS key ID, Amazon SageMaker uses the default KMS key for Amazon S3 for your role's account. For more information, see KMS-Managed Encryption Keys in the Amazon Simple Storage Service Developer Guide.

    The KmsKeyId can be any of the following formats:

    • Key ID: 1234abcd-12ab-34cd-56ef-1234567890ab
    • Key ARN: arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab
    • Alias name: alias/ExampleAlias
    • Alias name ARN: arn:aws:kms:us-west-2:111122223333:alias/ExampleAlias
  • targetDevice :: Maybe TargetDevice

    Identifies the target device or the machine learning instance that you want to run your model on after the compilation has completed. Alternatively, you can specify OS, architecture, and accelerator using TargetPlatform fields. It can be used instead of TargetPlatform.

  • targetPlatform :: Maybe TargetPlatform

    Contains information about a target platform that you want your model to run on, such as OS, architecture, and accelerators. It is an alternative of TargetDevice.

    The following examples show how to configure the TargetPlatform and CompilerOptions JSON strings for popular target platforms:

    • Raspberry Pi 3 Model B+

      "TargetPlatform": {"Os": "LINUX", "Arch": "ARM_EABIHF"},
       "CompilerOptions": {'mattr': ['+neon']}

    • Jetson TX2

      "TargetPlatform": {"Os": "LINUX", "Arch": "ARM64", "Accelerator": "NVIDIA"},
       "CompilerOptions": {'gpu-code': 'sm_62', 'trt-ver': '6.0.1', 'cuda-ver': '10.0'}

    • EC2 m5.2xlarge instance OS

      "TargetPlatform": {"Os": "LINUX", "Arch": "X86_64", "Accelerator": "NVIDIA"},
       "CompilerOptions": {'mcpu': 'skylake-avx512'}

    • RK3399

      "TargetPlatform": {"Os": "LINUX", "Arch": "ARM64", "Accelerator": "MALI"}

    • ARMv7 phone (CPU)

      "TargetPlatform": {"Os": "ANDROID", "Arch": "ARM_EABI"},
       "CompilerOptions": {'ANDROID_PLATFORM': 25, 'mattr': ['+neon']}

    • ARMv8 phone (CPU)

      "TargetPlatform": {"Os": "ANDROID", "Arch": "ARM64"},
       "CompilerOptions": {'ANDROID_PLATFORM': 29}
  • s3OutputLocation :: Text

    Identifies the S3 bucket where you want Amazon SageMaker to store the model artifacts. For example, s3://bucket-name/key-name-prefix.

Instances

Instances details
FromJSON OutputConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.OutputConfig

Methods

parseJSON :: Value -> Parser OutputConfig #

parseJSONList :: Value -> Parser [OutputConfig] #

ToJSON OutputConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.OutputConfig

Methods

toJSON :: OutputConfig -> Value #

toEncoding :: OutputConfig -> Encoding #

toJSONList :: [OutputConfig] -> Value #

toEncodingList :: [OutputConfig] -> Encoding #

Generic OutputConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.OutputConfig

Associated Types

type Rep OutputConfig :: Type -> Type #

Methods

from :: OutputConfig -> Rep OutputConfig x #

to :: Rep OutputConfig x -> OutputConfig #

Read OutputConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.OutputConfig

Methods

readsPrec :: Int -> ReadS OutputConfig #

readList :: ReadS [OutputConfig] #

readPrec :: ReadPrec OutputConfig #

readListPrec :: ReadPrec [OutputConfig] #

Show OutputConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.OutputConfig

Methods

showsPrec :: Int -> OutputConfig -> ShowS #

show :: OutputConfig -> String #

showList :: [OutputConfig] -> ShowS #

NFData OutputConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.OutputConfig

Methods

rnf :: OutputConfig -> () #

Eq OutputConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.OutputConfig

Methods

(==) :: OutputConfig -> OutputConfig -> Bool #

(/=) :: OutputConfig -> OutputConfig -> Bool #

Hashable OutputConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.OutputConfig

Methods

hashWithSalt :: Int -> OutputConfig -> Int #

hash :: OutputConfig -> Int #

type Rep OutputConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.OutputConfig

type Rep OutputConfig = D1 ('MetaData "OutputConfig" "Amazonka.SageMaker.Types.OutputConfig" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "OutputConfig'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "compilerOptions") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "kmsKeyId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))) :*: (S1 ('MetaSel ('Just "targetDevice") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe TargetDevice)) :*: (S1 ('MetaSel ('Just "targetPlatform") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe TargetPlatform)) :*: S1 ('MetaSel ('Just "s3OutputLocation") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))))

newOutputConfig Source #

Arguments

:: Text

$sel:s3OutputLocation:OutputConfig'

-> OutputConfig 

Create a value of OutputConfig with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:compilerOptions:OutputConfig', outputConfig_compilerOptions - Specifies additional parameters for compiler options in JSON format. The compiler options are TargetPlatform specific. It is required for NVIDIA accelerators and highly recommended for CPU compilations. For any other cases, it is optional to specify CompilerOptions.

  • DTYPE: Specifies the data type for the input. When compiling for ml_* (except for ml_inf) instances using PyTorch framework, provide the data type (dtype) of the model's input. "float32" is used if "DTYPE" is not specified. Options for data type are:

    • float32: Use either "float" or "float32".
    • int64: Use either "int64" or "long".

    For example, {"dtype" : "float32"}.

  • CPU: Compilation for CPU supports the following compiler options.

    • mcpu: CPU micro-architecture. For example, {'mcpu': 'skylake-avx512'}
    • mattr: CPU flags. For example, {'mattr': ['+neon', '+vfpv4']}

  • ARM: Details of ARM CPU compilations.

    • NEON: NEON is an implementation of the Advanced SIMD extension used in ARMv7 processors.

      For example, add {'mattr': ['+neon']} to the compiler options if compiling for ARM 32-bit platform with the NEON support.

  • NVIDIA: Compilation for NVIDIA GPU supports the following compiler options.

    • gpu_code: Specifies the targeted architecture.
    • trt-ver: Specifies the TensorRT versions in x.y.z. format.
    • cuda-ver: Specifies the CUDA version in x.y format.

    For example, {'gpu-code': 'sm_72', 'trt-ver': '6.0.1', 'cuda-ver': '10.1'}

  • ANDROID: Compilation for the Android OS supports the following compiler options:

    • ANDROID_PLATFORM: Specifies the Android API levels. Available levels range from 21 to 29. For example, {'ANDROID_PLATFORM': 28}.
    • mattr: Add {'mattr': ['+neon']} to compiler options if compiling for ARM 32-bit platform with NEON support.

  • INFERENTIA: Compilation for target ml_inf1 uses compiler options passed in as a JSON string. For example, "CompilerOptions": "\"--verbose 1 --num-neuroncores 2 -O2\"".

    For information about supported compiler options, see Neuron Compiler CLI.

  • CoreML: Compilation for the CoreML OutputConfig$TargetDevice supports the following compiler options:

    • class_labels: Specifies the classification labels file name inside input tar.gz file. For example, {"class_labels": "imagenet_labels_1000.txt"}. Labels inside the txt file should be separated by newlines.

  • EIA: Compilation for the Elastic Inference Accelerator supports the following compiler options:

    • precision_mode: Specifies the precision of compiled artifacts. Supported values are "FP16" and "FP32". Default is "FP32".
    • signature_def_key: Specifies the signature to use for models in SavedModel format. Defaults is TensorFlow's default signature def key.
    • output_names: Specifies a list of output tensor names for models in FrozenGraph format. Set at most one API field, either: signature_def_key or output_names.

    For example: {"precision_mode": "FP32", "output_names": ["output:0"]}

$sel:kmsKeyId:OutputConfig', outputConfig_kmsKeyId - The Amazon Web Services Key Management Service key (Amazon Web Services KMS) that Amazon SageMaker uses to encrypt your output models with Amazon S3 server-side encryption after compilation job. If you don't provide a KMS key ID, Amazon SageMaker uses the default KMS key for Amazon S3 for your role's account. For more information, see KMS-Managed Encryption Keys in the Amazon Simple Storage Service Developer Guide.

The KmsKeyId can be any of the following formats:

  • Key ID: 1234abcd-12ab-34cd-56ef-1234567890ab
  • Key ARN: arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab
  • Alias name: alias/ExampleAlias
  • Alias name ARN: arn:aws:kms:us-west-2:111122223333:alias/ExampleAlias

$sel:targetDevice:OutputConfig', outputConfig_targetDevice - Identifies the target device or the machine learning instance that you want to run your model on after the compilation has completed. Alternatively, you can specify OS, architecture, and accelerator using TargetPlatform fields. It can be used instead of TargetPlatform.

$sel:targetPlatform:OutputConfig', outputConfig_targetPlatform - Contains information about a target platform that you want your model to run on, such as OS, architecture, and accelerators. It is an alternative of TargetDevice.

The following examples show how to configure the TargetPlatform and CompilerOptions JSON strings for popular target platforms:

  • Raspberry Pi 3 Model B+

    "TargetPlatform": {"Os": "LINUX", "Arch": "ARM_EABIHF"},
     "CompilerOptions": {'mattr': ['+neon']}

  • Jetson TX2

    "TargetPlatform": {"Os": "LINUX", "Arch": "ARM64", "Accelerator": "NVIDIA"},
     "CompilerOptions": {'gpu-code': 'sm_62', 'trt-ver': '6.0.1', 'cuda-ver': '10.0'}

  • EC2 m5.2xlarge instance OS

    "TargetPlatform": {"Os": "LINUX", "Arch": "X86_64", "Accelerator": "NVIDIA"},
     "CompilerOptions": {'mcpu': 'skylake-avx512'}

  • RK3399

    "TargetPlatform": {"Os": "LINUX", "Arch": "ARM64", "Accelerator": "MALI"}

  • ARMv7 phone (CPU)

    "TargetPlatform": {"Os": "ANDROID", "Arch": "ARM_EABI"},
     "CompilerOptions": {'ANDROID_PLATFORM': 25, 'mattr': ['+neon']}

  • ARMv8 phone (CPU)

    "TargetPlatform": {"Os": "ANDROID", "Arch": "ARM64"},
     "CompilerOptions": {'ANDROID_PLATFORM': 29}

$sel:s3OutputLocation:OutputConfig', outputConfig_s3OutputLocation - Identifies the S3 bucket where you want Amazon SageMaker to store the model artifacts. For example, s3://bucket-name/key-name-prefix.

outputConfig_compilerOptions :: Lens' OutputConfig (Maybe Text) Source #

Specifies additional parameters for compiler options in JSON format. The compiler options are TargetPlatform specific. It is required for NVIDIA accelerators and highly recommended for CPU compilations. For any other cases, it is optional to specify CompilerOptions.

  • DTYPE: Specifies the data type for the input. When compiling for ml_* (except for ml_inf) instances using PyTorch framework, provide the data type (dtype) of the model's input. "float32" is used if "DTYPE" is not specified. Options for data type are:

    • float32: Use either "float" or "float32".
    • int64: Use either "int64" or "long".

    For example, {"dtype" : "float32"}.

  • CPU: Compilation for CPU supports the following compiler options.

    • mcpu: CPU micro-architecture. For example, {'mcpu': 'skylake-avx512'}
    • mattr: CPU flags. For example, {'mattr': ['+neon', '+vfpv4']}

  • ARM: Details of ARM CPU compilations.

    • NEON: NEON is an implementation of the Advanced SIMD extension used in ARMv7 processors.

      For example, add {'mattr': ['+neon']} to the compiler options if compiling for ARM 32-bit platform with the NEON support.

  • NVIDIA: Compilation for NVIDIA GPU supports the following compiler options.

    • gpu_code: Specifies the targeted architecture.
    • trt-ver: Specifies the TensorRT versions in x.y.z. format.
    • cuda-ver: Specifies the CUDA version in x.y format.

    For example, {'gpu-code': 'sm_72', 'trt-ver': '6.0.1', 'cuda-ver': '10.1'}

  • ANDROID: Compilation for the Android OS supports the following compiler options:

    • ANDROID_PLATFORM: Specifies the Android API levels. Available levels range from 21 to 29. For example, {'ANDROID_PLATFORM': 28}.
    • mattr: Add {'mattr': ['+neon']} to compiler options if compiling for ARM 32-bit platform with NEON support.

  • INFERENTIA: Compilation for target ml_inf1 uses compiler options passed in as a JSON string. For example, "CompilerOptions": "\"--verbose 1 --num-neuroncores 2 -O2\"".

    For information about supported compiler options, see Neuron Compiler CLI.

  • CoreML: Compilation for the CoreML OutputConfig$TargetDevice supports the following compiler options:

    • class_labels: Specifies the classification labels file name inside input tar.gz file. For example, {"class_labels": "imagenet_labels_1000.txt"}. Labels inside the txt file should be separated by newlines.

  • EIA: Compilation for the Elastic Inference Accelerator supports the following compiler options:

    • precision_mode: Specifies the precision of compiled artifacts. Supported values are "FP16" and "FP32". Default is "FP32".
    • signature_def_key: Specifies the signature to use for models in SavedModel format. Defaults is TensorFlow's default signature def key.
    • output_names: Specifies a list of output tensor names for models in FrozenGraph format. Set at most one API field, either: signature_def_key or output_names.

    For example: {"precision_mode": "FP32", "output_names": ["output:0"]}

outputConfig_kmsKeyId :: Lens' OutputConfig (Maybe Text) Source #

The Amazon Web Services Key Management Service key (Amazon Web Services KMS) that Amazon SageMaker uses to encrypt your output models with Amazon S3 server-side encryption after compilation job. If you don't provide a KMS key ID, Amazon SageMaker uses the default KMS key for Amazon S3 for your role's account. For more information, see KMS-Managed Encryption Keys in the Amazon Simple Storage Service Developer Guide.

The KmsKeyId can be any of the following formats:

  • Key ID: 1234abcd-12ab-34cd-56ef-1234567890ab
  • Key ARN: arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab
  • Alias name: alias/ExampleAlias
  • Alias name ARN: arn:aws:kms:us-west-2:111122223333:alias/ExampleAlias

outputConfig_targetDevice :: Lens' OutputConfig (Maybe TargetDevice) Source #

Identifies the target device or the machine learning instance that you want to run your model on after the compilation has completed. Alternatively, you can specify OS, architecture, and accelerator using TargetPlatform fields. It can be used instead of TargetPlatform.

outputConfig_targetPlatform :: Lens' OutputConfig (Maybe TargetPlatform) Source #

Contains information about a target platform that you want your model to run on, such as OS, architecture, and accelerators. It is an alternative of TargetDevice.

The following examples show how to configure the TargetPlatform and CompilerOptions JSON strings for popular target platforms:

  • Raspberry Pi 3 Model B+

    "TargetPlatform": {"Os": "LINUX", "Arch": "ARM_EABIHF"},
     "CompilerOptions": {'mattr': ['+neon']}

  • Jetson TX2

    "TargetPlatform": {"Os": "LINUX", "Arch": "ARM64", "Accelerator": "NVIDIA"},
     "CompilerOptions": {'gpu-code': 'sm_62', 'trt-ver': '6.0.1', 'cuda-ver': '10.0'}

  • EC2 m5.2xlarge instance OS

    "TargetPlatform": {"Os": "LINUX", "Arch": "X86_64", "Accelerator": "NVIDIA"},
     "CompilerOptions": {'mcpu': 'skylake-avx512'}

  • RK3399

    "TargetPlatform": {"Os": "LINUX", "Arch": "ARM64", "Accelerator": "MALI"}

  • ARMv7 phone (CPU)

    "TargetPlatform": {"Os": "ANDROID", "Arch": "ARM_EABI"},
     "CompilerOptions": {'ANDROID_PLATFORM': 25, 'mattr': ['+neon']}

  • ARMv8 phone (CPU)

    "TargetPlatform": {"Os": "ANDROID", "Arch": "ARM64"},
     "CompilerOptions": {'ANDROID_PLATFORM': 29}

outputConfig_s3OutputLocation :: Lens' OutputConfig Text Source #

Identifies the S3 bucket where you want Amazon SageMaker to store the model artifacts. For example, s3://bucket-name/key-name-prefix.

OutputDataConfig

data OutputDataConfig Source #

Provides information about how to store model training results (model artifacts).

See: newOutputDataConfig smart constructor.

Constructors

OutputDataConfig' 

Fields

  • kmsKeyId :: Maybe Text

    The Amazon Web Services Key Management Service (Amazon Web Services KMS) key that SageMaker uses to encrypt the model artifacts at rest using Amazon S3 server-side encryption. The KmsKeyId can be any of the following formats:

    • // KMS Key ID

      "1234abcd-12ab-34cd-56ef-1234567890ab"

    • // Amazon Resource Name (ARN) of a KMS Key

      "arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab"

    • // KMS Key Alias

      "alias/ExampleAlias"

    • // Amazon Resource Name (ARN) of a KMS Key Alias

      "arn:aws:kms:us-west-2:111122223333:alias/ExampleAlias"

    If you use a KMS key ID or an alias of your KMS key, the SageMaker execution role must include permissions to call kms:Encrypt. If you don't provide a KMS key ID, SageMaker uses the default KMS key for Amazon S3 for your role's account. SageMaker uses server-side encryption with KMS-managed keys for OutputDataConfig. If you use a bucket policy with an s3:PutObject permission that only allows objects with server-side encryption, set the condition key of s3:x-amz-server-side-encryption to "aws:kms". For more information, see KMS-Managed Encryption Keys in the Amazon Simple Storage Service Developer Guide.

    The KMS key policy must grant permission to the IAM role that you specify in your CreateTrainingJob, CreateTransformJob, or CreateHyperParameterTuningJob requests. For more information, see Using Key Policies in Amazon Web Services KMS in the Amazon Web Services Key Management Service Developer Guide.

  • s3OutputPath :: Text

    Identifies the S3 path where you want SageMaker to store the model artifacts. For example, s3://bucket-name/key-name-prefix.

Instances

Instances details
FromJSON OutputDataConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.OutputDataConfig

Methods

parseJSON :: Value -> Parser OutputDataConfig #

parseJSONList :: Value -> Parser [OutputDataConfig] #

ToJSON OutputDataConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.OutputDataConfig

Methods

toJSON :: OutputDataConfig -> Value #

toEncoding :: OutputDataConfig -> Encoding #

toJSONList :: [OutputDataConfig] -> Value #

toEncodingList :: [OutputDataConfig] -> Encoding #

Generic OutputDataConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.OutputDataConfig

Associated Types

type Rep OutputDataConfig :: Type -> Type #

Methods

from :: OutputDataConfig -> Rep OutputDataConfig x #

to :: Rep OutputDataConfig x -> OutputDataConfig #

Read OutputDataConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.OutputDataConfig

Methods

readsPrec :: Int -> ReadS OutputDataConfig #

readList :: ReadS [OutputDataConfig] #

readPrec :: ReadPrec OutputDataConfig #

readListPrec :: ReadPrec [OutputDataConfig] #

Show OutputDataConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.OutputDataConfig

Methods

showsPrec :: Int -> OutputDataConfig -> ShowS #

show :: OutputDataConfig -> String #

showList :: [OutputDataConfig] -> ShowS #

NFData OutputDataConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.OutputDataConfig

Methods

rnf :: OutputDataConfig -> () #

Eq OutputDataConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.OutputDataConfig

Methods

(==) :: OutputDataConfig -> OutputDataConfig -> Bool #

(/=) :: OutputDataConfig -> OutputDataConfig -> Bool #

Hashable OutputDataConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.OutputDataConfig

Methods

hashWithSalt :: Int -> OutputDataConfig -> Int #

hash :: OutputDataConfig -> Int #

type Rep OutputDataConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.OutputDataConfig

type Rep OutputDataConfig = D1 ('MetaData "OutputDataConfig" "Amazonka.SageMaker.Types.OutputDataConfig" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "OutputDataConfig'" 'PrefixI 'True) (S1 ('MetaSel ('Just "kmsKeyId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "s3OutputPath") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))

newOutputDataConfig Source #

Arguments

:: Text

$sel:s3OutputPath:OutputDataConfig'

-> OutputDataConfig 

Create a value of OutputDataConfig with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:kmsKeyId:OutputDataConfig', outputDataConfig_kmsKeyId - The Amazon Web Services Key Management Service (Amazon Web Services KMS) key that SageMaker uses to encrypt the model artifacts at rest using Amazon S3 server-side encryption. The KmsKeyId can be any of the following formats:

  • // KMS Key ID

    "1234abcd-12ab-34cd-56ef-1234567890ab"

  • // Amazon Resource Name (ARN) of a KMS Key

    "arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab"

  • // KMS Key Alias

    "alias/ExampleAlias"

  • // Amazon Resource Name (ARN) of a KMS Key Alias

    "arn:aws:kms:us-west-2:111122223333:alias/ExampleAlias"

If you use a KMS key ID or an alias of your KMS key, the SageMaker execution role must include permissions to call kms:Encrypt. If you don't provide a KMS key ID, SageMaker uses the default KMS key for Amazon S3 for your role's account. SageMaker uses server-side encryption with KMS-managed keys for OutputDataConfig. If you use a bucket policy with an s3:PutObject permission that only allows objects with server-side encryption, set the condition key of s3:x-amz-server-side-encryption to "aws:kms". For more information, see KMS-Managed Encryption Keys in the Amazon Simple Storage Service Developer Guide.

The KMS key policy must grant permission to the IAM role that you specify in your CreateTrainingJob, CreateTransformJob, or CreateHyperParameterTuningJob requests. For more information, see Using Key Policies in Amazon Web Services KMS in the Amazon Web Services Key Management Service Developer Guide.

$sel:s3OutputPath:OutputDataConfig', outputDataConfig_s3OutputPath - Identifies the S3 path where you want SageMaker to store the model artifacts. For example, s3://bucket-name/key-name-prefix.

outputDataConfig_kmsKeyId :: Lens' OutputDataConfig (Maybe Text) Source #

The Amazon Web Services Key Management Service (Amazon Web Services KMS) key that SageMaker uses to encrypt the model artifacts at rest using Amazon S3 server-side encryption. The KmsKeyId can be any of the following formats:

  • // KMS Key ID

    "1234abcd-12ab-34cd-56ef-1234567890ab"

  • // Amazon Resource Name (ARN) of a KMS Key

    "arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab"

  • // KMS Key Alias

    "alias/ExampleAlias"

  • // Amazon Resource Name (ARN) of a KMS Key Alias

    "arn:aws:kms:us-west-2:111122223333:alias/ExampleAlias"

If you use a KMS key ID or an alias of your KMS key, the SageMaker execution role must include permissions to call kms:Encrypt. If you don't provide a KMS key ID, SageMaker uses the default KMS key for Amazon S3 for your role's account. SageMaker uses server-side encryption with KMS-managed keys for OutputDataConfig. If you use a bucket policy with an s3:PutObject permission that only allows objects with server-side encryption, set the condition key of s3:x-amz-server-side-encryption to "aws:kms". For more information, see KMS-Managed Encryption Keys in the Amazon Simple Storage Service Developer Guide.

The KMS key policy must grant permission to the IAM role that you specify in your CreateTrainingJob, CreateTransformJob, or CreateHyperParameterTuningJob requests. For more information, see Using Key Policies in Amazon Web Services KMS in the Amazon Web Services Key Management Service Developer Guide.

outputDataConfig_s3OutputPath :: Lens' OutputDataConfig Text Source #

Identifies the S3 path where you want SageMaker to store the model artifacts. For example, s3://bucket-name/key-name-prefix.

OutputParameter

data OutputParameter Source #

An output parameter of a pipeline step.

See: newOutputParameter smart constructor.

Constructors

OutputParameter' 

Fields

  • name :: Text

    The name of the output parameter.

  • value :: Text

    The value of the output parameter.

Instances

Instances details
FromJSON OutputParameter Source # 
Instance details

Defined in Amazonka.SageMaker.Types.OutputParameter

Methods

parseJSON :: Value -> Parser OutputParameter #

parseJSONList :: Value -> Parser [OutputParameter] #

ToJSON OutputParameter Source # 
Instance details

Defined in Amazonka.SageMaker.Types.OutputParameter

Methods

toJSON :: OutputParameter -> Value #

toEncoding :: OutputParameter -> Encoding #

toJSONList :: [OutputParameter] -> Value #

toEncodingList :: [OutputParameter] -> Encoding #

Generic OutputParameter Source # 
Instance details

Defined in Amazonka.SageMaker.Types.OutputParameter

Associated Types

type Rep OutputParameter :: Type -> Type #

Methods

from :: OutputParameter -> Rep OutputParameter x #

to :: Rep OutputParameter x -> OutputParameter #

Read OutputParameter Source # 
Instance details

Defined in Amazonka.SageMaker.Types.OutputParameter

Methods

readsPrec :: Int -> ReadS OutputParameter #

readList :: ReadS [OutputParameter] #

readPrec :: ReadPrec OutputParameter #

readListPrec :: ReadPrec [OutputParameter] #

Show OutputParameter Source # 
Instance details

Defined in Amazonka.SageMaker.Types.OutputParameter

Methods

showsPrec :: Int -> OutputParameter -> ShowS #

show :: OutputParameter -> String #

showList :: [OutputParameter] -> ShowS #

NFData OutputParameter Source # 
Instance details

Defined in Amazonka.SageMaker.Types.OutputParameter

Methods

rnf :: OutputParameter -> () #

Eq OutputParameter Source # 
Instance details

Defined in Amazonka.SageMaker.Types.OutputParameter

Methods

(==) :: OutputParameter -> OutputParameter -> Bool #

(/=) :: OutputParameter -> OutputParameter -> Bool #

Hashable OutputParameter Source # 
Instance details

Defined in Amazonka.SageMaker.Types.OutputParameter

Methods

hashWithSalt :: Int -> OutputParameter -> Int #

hash :: OutputParameter -> Int #

type Rep OutputParameter Source # 
Instance details

Defined in Amazonka.SageMaker.Types.OutputParameter

type Rep OutputParameter = D1 ('MetaData "OutputParameter" "Amazonka.SageMaker.Types.OutputParameter" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "OutputParameter'" 'PrefixI 'True) (S1 ('MetaSel ('Just "name") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: S1 ('MetaSel ('Just "value") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))

newOutputParameter Source #

Arguments

:: Text

$sel:name:OutputParameter'

-> Text

$sel:value:OutputParameter'

-> OutputParameter 

Create a value of OutputParameter with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:name:OutputParameter', outputParameter_name - The name of the output parameter.

$sel:value:OutputParameter', outputParameter_value - The value of the output parameter.

outputParameter_name :: Lens' OutputParameter Text Source #

The name of the output parameter.

outputParameter_value :: Lens' OutputParameter Text Source #

The value of the output parameter.

ParallelismConfiguration

data ParallelismConfiguration Source #

Configuration that controls the parallelism of the pipeline. By default, the parallelism configuration specified applies to all executions of the pipeline unless overridden.

See: newParallelismConfiguration smart constructor.

Constructors

ParallelismConfiguration' 

Fields

Instances

Instances details
FromJSON ParallelismConfiguration Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ParallelismConfiguration

Methods

parseJSON :: Value -> Parser ParallelismConfiguration #

parseJSONList :: Value -> Parser [ParallelismConfiguration] #

ToJSON ParallelismConfiguration Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ParallelismConfiguration

Methods

toJSON :: ParallelismConfiguration -> Value #

toEncoding :: ParallelismConfiguration -> Encoding #

toJSONList :: [ParallelismConfiguration] -> Value #

toEncodingList :: [ParallelismConfiguration] -> Encoding #

Generic ParallelismConfiguration Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ParallelismConfiguration

Associated Types

type Rep ParallelismConfiguration :: Type -> Type #

Methods

from :: ParallelismConfiguration -> Rep ParallelismConfiguration x #

to :: Rep ParallelismConfiguration x -> ParallelismConfiguration #

Read ParallelismConfiguration Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ParallelismConfiguration

Methods

readsPrec :: Int -> ReadS ParallelismConfiguration #

readList :: ReadS [ParallelismConfiguration] #

readPrec :: ReadPrec ParallelismConfiguration #

readListPrec :: ReadPrec [ParallelismConfiguration] #

Show ParallelismConfiguration Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ParallelismConfiguration

Methods

showsPrec :: Int -> ParallelismConfiguration -> ShowS #

show :: ParallelismConfiguration -> String #

showList :: [ParallelismConfiguration] -> ShowS #

NFData ParallelismConfiguration Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ParallelismConfiguration

Methods

rnf :: ParallelismConfiguration -> () #

Eq ParallelismConfiguration Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ParallelismConfiguration

Methods

(==) :: ParallelismConfiguration -> ParallelismConfiguration -> Bool #

(/=) :: ParallelismConfiguration -> ParallelismConfiguration -> Bool #

Hashable ParallelismConfiguration Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ParallelismConfiguration

Methods

hashWithSalt :: Int -> ParallelismConfiguration -> Int #

hash :: ParallelismConfiguration -> Int #

type Rep ParallelismConfiguration Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ParallelismConfiguration

type Rep ParallelismConfiguration = D1 ('MetaData "ParallelismConfiguration" "Amazonka.SageMaker.Types.ParallelismConfiguration" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "ParallelismConfiguration'" 'PrefixI 'True) (S1 ('MetaSel ('Just "maxParallelExecutionSteps") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Natural)))

newParallelismConfiguration Source #

Arguments

:: Natural

$sel:maxParallelExecutionSteps:ParallelismConfiguration'

-> ParallelismConfiguration 

Create a value of ParallelismConfiguration with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:maxParallelExecutionSteps:ParallelismConfiguration', parallelismConfiguration_maxParallelExecutionSteps - The max number of steps that can be executed in parallel.

parallelismConfiguration_maxParallelExecutionSteps :: Lens' ParallelismConfiguration Natural Source #

The max number of steps that can be executed in parallel.

Parameter

data Parameter Source #

Assigns a value to a named Pipeline parameter.

See: newParameter smart constructor.

Constructors

Parameter' 

Fields

  • name :: Text

    The name of the parameter to assign a value to. This parameter name must match a named parameter in the pipeline definition.

  • value :: Text

    The literal value for the parameter.

Instances

Instances details
FromJSON Parameter Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Parameter

Methods

parseJSON :: Value -> Parser Parameter #

parseJSONList :: Value -> Parser [Parameter] #

ToJSON Parameter Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Parameter

Methods

toJSON :: Parameter -> Value #

toEncoding :: Parameter -> Encoding #

toJSONList :: [Parameter] -> Value #

toEncodingList :: [Parameter] -> Encoding #

Generic Parameter Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Parameter

Associated Types

type Rep Parameter :: Type -> Type #

Methods

from :: Parameter -> Rep Parameter x #

to :: Rep Parameter x -> Parameter #

Read Parameter Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Parameter

Methods

readsPrec :: Int -> ReadS Parameter #

readList :: ReadS [Parameter] #

readPrec :: ReadPrec Parameter #

readListPrec :: ReadPrec [Parameter] #

Show Parameter Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Parameter

Methods

showsPrec :: Int -> Parameter -> ShowS #

show :: Parameter -> String #

showList :: [Parameter] -> ShowS #

NFData Parameter Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Parameter

Methods

rnf :: Parameter -> () #

Eq Parameter Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Parameter

Methods

(==) :: Parameter -> Parameter -> Bool #

(/=) :: Parameter -> Parameter -> Bool #

Hashable Parameter Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Parameter

Methods

hashWithSalt :: Int -> Parameter -> Int #

hash :: Parameter -> Int #

type Rep Parameter Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Parameter

type Rep Parameter = D1 ('MetaData "Parameter" "Amazonka.SageMaker.Types.Parameter" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "Parameter'" 'PrefixI 'True) (S1 ('MetaSel ('Just "name") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: S1 ('MetaSel ('Just "value") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))

newParameter Source #

Arguments

:: Text

$sel:name:Parameter'

-> Text

$sel:value:Parameter'

-> Parameter 

Create a value of Parameter with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:name:Parameter', parameter_name - The name of the parameter to assign a value to. This parameter name must match a named parameter in the pipeline definition.

$sel:value:Parameter', parameter_value - The literal value for the parameter.

parameter_name :: Lens' Parameter Text Source #

The name of the parameter to assign a value to. This parameter name must match a named parameter in the pipeline definition.

parameter_value :: Lens' Parameter Text Source #

The literal value for the parameter.

ParameterRange

data ParameterRange Source #

Defines the possible values for categorical, continuous, and integer hyperparameters to be used by an algorithm.

See: newParameterRange smart constructor.

Constructors

ParameterRange' 

Fields

Instances

Instances details
FromJSON ParameterRange Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ParameterRange

Methods

parseJSON :: Value -> Parser ParameterRange #

parseJSONList :: Value -> Parser [ParameterRange] #

ToJSON ParameterRange Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ParameterRange

Methods

toJSON :: ParameterRange -> Value #

toEncoding :: ParameterRange -> Encoding #

toJSONList :: [ParameterRange] -> Value #

toEncodingList :: [ParameterRange] -> Encoding #

Generic ParameterRange Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ParameterRange

Associated Types

type Rep ParameterRange :: Type -> Type #

Methods

from :: ParameterRange -> Rep ParameterRange x #

to :: Rep ParameterRange x -> ParameterRange #

Read ParameterRange Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ParameterRange

Methods

readsPrec :: Int -> ReadS ParameterRange #

readList :: ReadS [ParameterRange] #

readPrec :: ReadPrec ParameterRange #

readListPrec :: ReadPrec [ParameterRange] #

Show ParameterRange Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ParameterRange

Methods

showsPrec :: Int -> ParameterRange -> ShowS #

show :: ParameterRange -> String #

showList :: [ParameterRange] -> ShowS #

NFData ParameterRange Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ParameterRange

Methods

rnf :: ParameterRange -> () #

Eq ParameterRange Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ParameterRange

Methods

(==) :: ParameterRange -> ParameterRange -> Bool #

(/=) :: ParameterRange -> ParameterRange -> Bool #

Hashable ParameterRange Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ParameterRange

Methods

hashWithSalt :: Int -> ParameterRange -> Int #

hash :: ParameterRange -> Int #

type Rep ParameterRange Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ParameterRange

type Rep ParameterRange = D1 ('MetaData "ParameterRange" "Amazonka.SageMaker.Types.ParameterRange" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "ParameterRange'" 'PrefixI 'True) (S1 ('MetaSel ('Just "categoricalParameterRangeSpecification") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe CategoricalParameterRangeSpecification)) :*: (S1 ('MetaSel ('Just "continuousParameterRangeSpecification") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ContinuousParameterRangeSpecification)) :*: S1 ('MetaSel ('Just "integerParameterRangeSpecification") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe IntegerParameterRangeSpecification)))))

newParameterRange :: ParameterRange Source #

Create a value of ParameterRange with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:categoricalParameterRangeSpecification:ParameterRange', parameterRange_categoricalParameterRangeSpecification - A CategoricalParameterRangeSpecification object that defines the possible values for a categorical hyperparameter.

$sel:continuousParameterRangeSpecification:ParameterRange', parameterRange_continuousParameterRangeSpecification - A ContinuousParameterRangeSpecification object that defines the possible values for a continuous hyperparameter.

$sel:integerParameterRangeSpecification:ParameterRange', parameterRange_integerParameterRangeSpecification - A IntegerParameterRangeSpecification object that defines the possible values for an integer hyperparameter.

parameterRange_categoricalParameterRangeSpecification :: Lens' ParameterRange (Maybe CategoricalParameterRangeSpecification) Source #

A CategoricalParameterRangeSpecification object that defines the possible values for a categorical hyperparameter.

parameterRange_continuousParameterRangeSpecification :: Lens' ParameterRange (Maybe ContinuousParameterRangeSpecification) Source #

A ContinuousParameterRangeSpecification object that defines the possible values for a continuous hyperparameter.

parameterRange_integerParameterRangeSpecification :: Lens' ParameterRange (Maybe IntegerParameterRangeSpecification) Source #

A IntegerParameterRangeSpecification object that defines the possible values for an integer hyperparameter.

ParameterRanges

data ParameterRanges Source #

Specifies ranges of integer, continuous, and categorical hyperparameters that a hyperparameter tuning job searches. The hyperparameter tuning job launches training jobs with hyperparameter values within these ranges to find the combination of values that result in the training job with the best performance as measured by the objective metric of the hyperparameter tuning job.

The maximum number of items specified for Array Members refers to the maximum number of hyperparameters for each range and also the maximum for the hyperparameter tuning job itself. That is, the sum of the number of hyperparameters for all the ranges can't exceed the maximum number specified.

See: newParameterRanges smart constructor.

Constructors

ParameterRanges' 

Fields

Instances

Instances details
FromJSON ParameterRanges Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ParameterRanges

Methods

parseJSON :: Value -> Parser ParameterRanges #

parseJSONList :: Value -> Parser [ParameterRanges] #

ToJSON ParameterRanges Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ParameterRanges

Methods

toJSON :: ParameterRanges -> Value #

toEncoding :: ParameterRanges -> Encoding #

toJSONList :: [ParameterRanges] -> Value #

toEncodingList :: [ParameterRanges] -> Encoding #

Generic ParameterRanges Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ParameterRanges

Associated Types

type Rep ParameterRanges :: Type -> Type #

Methods

from :: ParameterRanges -> Rep ParameterRanges x #

to :: Rep ParameterRanges x -> ParameterRanges #

Read ParameterRanges Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ParameterRanges

Methods

readsPrec :: Int -> ReadS ParameterRanges #

readList :: ReadS [ParameterRanges] #

readPrec :: ReadPrec ParameterRanges #

readListPrec :: ReadPrec [ParameterRanges] #

Show ParameterRanges Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ParameterRanges

Methods

showsPrec :: Int -> ParameterRanges -> ShowS #

show :: ParameterRanges -> String #

showList :: [ParameterRanges] -> ShowS #

NFData ParameterRanges Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ParameterRanges

Methods

rnf :: ParameterRanges -> () #

Eq ParameterRanges Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ParameterRanges

Methods

(==) :: ParameterRanges -> ParameterRanges -> Bool #

(/=) :: ParameterRanges -> ParameterRanges -> Bool #

Hashable ParameterRanges Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ParameterRanges

Methods

hashWithSalt :: Int -> ParameterRanges -> Int #

hash :: ParameterRanges -> Int #

type Rep ParameterRanges Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ParameterRanges

type Rep ParameterRanges = D1 ('MetaData "ParameterRanges" "Amazonka.SageMaker.Types.ParameterRanges" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "ParameterRanges'" 'PrefixI 'True) (S1 ('MetaSel ('Just "categoricalParameterRanges") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [CategoricalParameterRange])) :*: (S1 ('MetaSel ('Just "continuousParameterRanges") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [ContinuousParameterRange])) :*: S1 ('MetaSel ('Just "integerParameterRanges") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [IntegerParameterRange])))))

newParameterRanges :: ParameterRanges Source #

Create a value of ParameterRanges with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:categoricalParameterRanges:ParameterRanges', parameterRanges_categoricalParameterRanges - The array of CategoricalParameterRange objects that specify ranges of categorical hyperparameters that a hyperparameter tuning job searches.

$sel:continuousParameterRanges:ParameterRanges', parameterRanges_continuousParameterRanges - The array of ContinuousParameterRange objects that specify ranges of continuous hyperparameters that a hyperparameter tuning job searches.

$sel:integerParameterRanges:ParameterRanges', parameterRanges_integerParameterRanges - The array of IntegerParameterRange objects that specify ranges of integer hyperparameters that a hyperparameter tuning job searches.

parameterRanges_categoricalParameterRanges :: Lens' ParameterRanges (Maybe [CategoricalParameterRange]) Source #

The array of CategoricalParameterRange objects that specify ranges of categorical hyperparameters that a hyperparameter tuning job searches.

parameterRanges_continuousParameterRanges :: Lens' ParameterRanges (Maybe [ContinuousParameterRange]) Source #

The array of ContinuousParameterRange objects that specify ranges of continuous hyperparameters that a hyperparameter tuning job searches.

parameterRanges_integerParameterRanges :: Lens' ParameterRanges (Maybe [IntegerParameterRange]) Source #

The array of IntegerParameterRange objects that specify ranges of integer hyperparameters that a hyperparameter tuning job searches.

Parent

data Parent Source #

The trial that a trial component is associated with and the experiment the trial is part of. A component might not be associated with a trial. A component can be associated with multiple trials.

See: newParent smart constructor.

Constructors

Parent' 

Fields

Instances

Instances details
FromJSON Parent Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Parent

Methods

parseJSON :: Value -> Parser Parent #

parseJSONList :: Value -> Parser [Parent] #

Generic Parent Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Parent

Associated Types

type Rep Parent :: Type -> Type #

Methods

from :: Parent -> Rep Parent x #

to :: Rep Parent x -> Parent #

Read Parent Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Parent

Methods

readsPrec :: Int -> ReadS Parent #

readList :: ReadS [Parent] #

readPrec :: ReadPrec Parent #

readListPrec :: ReadPrec [Parent] #

Show Parent Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Parent

Methods

showsPrec :: Int -> Parent -> ShowS #

show :: Parent -> String #

showList :: [Parent] -> ShowS #

NFData Parent Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Parent

Methods

rnf :: Parent -> () #

Eq Parent Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Parent

Methods

(==) :: Parent -> Parent -> Bool #

(/=) :: Parent -> Parent -> Bool #

Hashable Parent Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Parent

Methods

hashWithSalt :: Int -> Parent -> Int #

hash :: Parent -> Int #

type Rep Parent Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Parent

type Rep Parent = D1 ('MetaData "Parent" "Amazonka.SageMaker.Types.Parent" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "Parent'" 'PrefixI 'True) (S1 ('MetaSel ('Just "experimentName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "trialName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))

newParent :: Parent Source #

Create a value of Parent with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:experimentName:Parent', parent_experimentName - The name of the experiment.

$sel:trialName:Parent', parent_trialName - The name of the trial.

parent_experimentName :: Lens' Parent (Maybe Text) Source #

The name of the experiment.

parent_trialName :: Lens' Parent (Maybe Text) Source #

The name of the trial.

ParentHyperParameterTuningJob

data ParentHyperParameterTuningJob Source #

A previously completed or stopped hyperparameter tuning job to be used as a starting point for a new hyperparameter tuning job.

See: newParentHyperParameterTuningJob smart constructor.

Constructors

ParentHyperParameterTuningJob' 

Fields

Instances

Instances details
FromJSON ParentHyperParameterTuningJob Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ParentHyperParameterTuningJob

Methods

parseJSON :: Value -> Parser ParentHyperParameterTuningJob #

parseJSONList :: Value -> Parser [ParentHyperParameterTuningJob] #

ToJSON ParentHyperParameterTuningJob Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ParentHyperParameterTuningJob

Methods

toJSON :: ParentHyperParameterTuningJob -> Value #

toEncoding :: ParentHyperParameterTuningJob -> Encoding #

toJSONList :: [ParentHyperParameterTuningJob] -> Value #

toEncodingList :: [ParentHyperParameterTuningJob] -> Encoding #

Generic ParentHyperParameterTuningJob Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ParentHyperParameterTuningJob

Associated Types

type Rep ParentHyperParameterTuningJob :: Type -> Type #

Methods

from :: ParentHyperParameterTuningJob -> Rep ParentHyperParameterTuningJob x #

to :: Rep ParentHyperParameterTuningJob x -> ParentHyperParameterTuningJob #

Read ParentHyperParameterTuningJob Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ParentHyperParameterTuningJob

Methods

readsPrec :: Int -> ReadS ParentHyperParameterTuningJob #

readList :: ReadS [ParentHyperParameterTuningJob] #

readPrec :: ReadPrec ParentHyperParameterTuningJob #

readListPrec :: ReadPrec [ParentHyperParameterTuningJob] #

Show ParentHyperParameterTuningJob Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ParentHyperParameterTuningJob

Methods

showsPrec :: Int -> ParentHyperParameterTuningJob -> ShowS #

show :: ParentHyperParameterTuningJob -> String #

showList :: [ParentHyperParameterTuningJob] -> ShowS #

NFData ParentHyperParameterTuningJob Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ParentHyperParameterTuningJob

Methods

rnf :: ParentHyperParameterTuningJob -> () #

Eq ParentHyperParameterTuningJob Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ParentHyperParameterTuningJob

Methods

(==) :: ParentHyperParameterTuningJob -> ParentHyperParameterTuningJob -> Bool #

(/=) :: ParentHyperParameterTuningJob -> ParentHyperParameterTuningJob -> Bool #

Hashable ParentHyperParameterTuningJob Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ParentHyperParameterTuningJob

Methods

hashWithSalt :: Int -> ParentHyperParameterTuningJob -> Int #

hash :: ParentHyperParameterTuningJob -> Int #

type Rep ParentHyperParameterTuningJob Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ParentHyperParameterTuningJob

type Rep ParentHyperParameterTuningJob = D1 ('MetaData "ParentHyperParameterTuningJob" "Amazonka.SageMaker.Types.ParentHyperParameterTuningJob" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "ParentHyperParameterTuningJob'" 'PrefixI 'True) (S1 ('MetaSel ('Just "hyperParameterTuningJobName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))

newParentHyperParameterTuningJob :: ParentHyperParameterTuningJob Source #

Create a value of ParentHyperParameterTuningJob with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:hyperParameterTuningJobName:ParentHyperParameterTuningJob', parentHyperParameterTuningJob_hyperParameterTuningJobName - The name of the hyperparameter tuning job to be used as a starting point for a new hyperparameter tuning job.

parentHyperParameterTuningJob_hyperParameterTuningJobName :: Lens' ParentHyperParameterTuningJob (Maybe Text) Source #

The name of the hyperparameter tuning job to be used as a starting point for a new hyperparameter tuning job.

PendingDeploymentSummary

data PendingDeploymentSummary Source #

The summary of an in-progress deployment when an endpoint is creating or updating with a new endpoint configuration.

See: newPendingDeploymentSummary smart constructor.

Constructors

PendingDeploymentSummary' 

Fields

Instances

Instances details
FromJSON PendingDeploymentSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.PendingDeploymentSummary

Methods

parseJSON :: Value -> Parser PendingDeploymentSummary #

parseJSONList :: Value -> Parser [PendingDeploymentSummary] #

Generic PendingDeploymentSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.PendingDeploymentSummary

Associated Types

type Rep PendingDeploymentSummary :: Type -> Type #

Methods

from :: PendingDeploymentSummary -> Rep PendingDeploymentSummary x #

to :: Rep PendingDeploymentSummary x -> PendingDeploymentSummary #

Read PendingDeploymentSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.PendingDeploymentSummary

Methods

readsPrec :: Int -> ReadS PendingDeploymentSummary #

readList :: ReadS [PendingDeploymentSummary] #

readPrec :: ReadPrec PendingDeploymentSummary #

readListPrec :: ReadPrec [PendingDeploymentSummary] #

Show PendingDeploymentSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.PendingDeploymentSummary

Methods

showsPrec :: Int -> PendingDeploymentSummary -> ShowS #

show :: PendingDeploymentSummary -> String #

showList :: [PendingDeploymentSummary] -> ShowS #

NFData PendingDeploymentSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.PendingDeploymentSummary

Methods

rnf :: PendingDeploymentSummary -> () #

Eq PendingDeploymentSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.PendingDeploymentSummary

Methods

(==) :: PendingDeploymentSummary -> PendingDeploymentSummary -> Bool #

(/=) :: PendingDeploymentSummary -> PendingDeploymentSummary -> Bool #

Hashable PendingDeploymentSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.PendingDeploymentSummary

Methods

hashWithSalt :: Int -> PendingDeploymentSummary -> Int #

hash :: PendingDeploymentSummary -> Int #

type Rep PendingDeploymentSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.PendingDeploymentSummary

type Rep PendingDeploymentSummary = D1 ('MetaData "PendingDeploymentSummary" "Amazonka.SageMaker.Types.PendingDeploymentSummary" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "PendingDeploymentSummary'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "productionVariants") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe (NonEmpty PendingProductionVariantSummary))) :*: S1 ('MetaSel ('Just "shadowProductionVariants") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe (NonEmpty PendingProductionVariantSummary)))) :*: (S1 ('MetaSel ('Just "startTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :*: S1 ('MetaSel ('Just "endpointConfigName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text))))

newPendingDeploymentSummary Source #

Arguments

:: Text

$sel:endpointConfigName:PendingDeploymentSummary'

-> PendingDeploymentSummary 

Create a value of PendingDeploymentSummary with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:productionVariants:PendingDeploymentSummary', pendingDeploymentSummary_productionVariants - An array of PendingProductionVariantSummary objects, one for each model hosted behind this endpoint for the in-progress deployment.

$sel:shadowProductionVariants:PendingDeploymentSummary', pendingDeploymentSummary_shadowProductionVariants - An array of PendingProductionVariantSummary objects, one for each model hosted behind this endpoint in shadow mode with production traffic replicated from the model specified on ProductionVariants for the in-progress deployment.

$sel:startTime:PendingDeploymentSummary', pendingDeploymentSummary_startTime - The start time of the deployment.

$sel:endpointConfigName:PendingDeploymentSummary', pendingDeploymentSummary_endpointConfigName - The name of the endpoint configuration used in the deployment.

pendingDeploymentSummary_productionVariants :: Lens' PendingDeploymentSummary (Maybe (NonEmpty PendingProductionVariantSummary)) Source #

An array of PendingProductionVariantSummary objects, one for each model hosted behind this endpoint for the in-progress deployment.

pendingDeploymentSummary_shadowProductionVariants :: Lens' PendingDeploymentSummary (Maybe (NonEmpty PendingProductionVariantSummary)) Source #

An array of PendingProductionVariantSummary objects, one for each model hosted behind this endpoint in shadow mode with production traffic replicated from the model specified on ProductionVariants for the in-progress deployment.

pendingDeploymentSummary_startTime :: Lens' PendingDeploymentSummary (Maybe UTCTime) Source #

The start time of the deployment.

pendingDeploymentSummary_endpointConfigName :: Lens' PendingDeploymentSummary Text Source #

The name of the endpoint configuration used in the deployment.

PendingProductionVariantSummary

data PendingProductionVariantSummary Source #

The production variant summary for a deployment when an endpoint is creating or updating with the CreateEndpoint or UpdateEndpoint operations. Describes the VariantStatus , weight and capacity for a production variant associated with an endpoint.

See: newPendingProductionVariantSummary smart constructor.

Constructors

PendingProductionVariantSummary' 

Fields

Instances

Instances details
FromJSON PendingProductionVariantSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.PendingProductionVariantSummary

Methods

parseJSON :: Value -> Parser PendingProductionVariantSummary #

parseJSONList :: Value -> Parser [PendingProductionVariantSummary] #

Generic PendingProductionVariantSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.PendingProductionVariantSummary

Associated Types

type Rep PendingProductionVariantSummary :: Type -> Type #

Methods

from :: PendingProductionVariantSummary -> Rep PendingProductionVariantSummary x #

to :: Rep PendingProductionVariantSummary x -> PendingProductionVariantSummary #

Read PendingProductionVariantSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.PendingProductionVariantSummary

Methods

readsPrec :: Int -> ReadS PendingProductionVariantSummary #

readList :: ReadS [PendingProductionVariantSummary] #

readPrec :: ReadPrec PendingProductionVariantSummary #

readListPrec :: ReadPrec [PendingProductionVariantSummary] #

Show PendingProductionVariantSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.PendingProductionVariantSummary

Methods

showsPrec :: Int -> PendingProductionVariantSummary -> ShowS #

show :: PendingProductionVariantSummary -> String #

showList :: [PendingProductionVariantSummary] -> ShowS #

NFData PendingProductionVariantSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.PendingProductionVariantSummary

Methods

rnf :: PendingProductionVariantSummary -> () #

Eq PendingProductionVariantSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.PendingProductionVariantSummary

Methods

(==) :: PendingProductionVariantSummary -> PendingProductionVariantSummary -> Bool #

(/=) :: PendingProductionVariantSummary -> PendingProductionVariantSummary -> Bool #

Hashable PendingProductionVariantSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.PendingProductionVariantSummary

Methods

hashWithSalt :: Int -> PendingProductionVariantSummary -> Int #

hash :: PendingProductionVariantSummary -> Int #

type Rep PendingProductionVariantSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.PendingProductionVariantSummary

type Rep PendingProductionVariantSummary = D1 ('MetaData "PendingProductionVariantSummary" "Amazonka.SageMaker.Types.PendingProductionVariantSummary" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "PendingProductionVariantSummary'" 'PrefixI 'True) (((S1 ('MetaSel ('Just "acceleratorType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ProductionVariantAcceleratorType)) :*: S1 ('MetaSel ('Just "currentInstanceCount") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural))) :*: (S1 ('MetaSel ('Just "currentServerlessConfig") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ProductionVariantServerlessConfig)) :*: (S1 ('MetaSel ('Just "currentWeight") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double)) :*: S1 ('MetaSel ('Just "deployedImages") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [DeployedImage]))))) :*: ((S1 ('MetaSel ('Just "desiredInstanceCount") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural)) :*: (S1 ('MetaSel ('Just "desiredServerlessConfig") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ProductionVariantServerlessConfig)) :*: S1 ('MetaSel ('Just "desiredWeight") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double)))) :*: (S1 ('MetaSel ('Just "instanceType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ProductionVariantInstanceType)) :*: (S1 ('MetaSel ('Just "variantStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [ProductionVariantStatus])) :*: S1 ('MetaSel ('Just "variantName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text))))))

newPendingProductionVariantSummary Source #

Arguments

:: Text

$sel:variantName:PendingProductionVariantSummary'

-> PendingProductionVariantSummary 

Create a value of PendingProductionVariantSummary with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:acceleratorType:PendingProductionVariantSummary', pendingProductionVariantSummary_acceleratorType - The size of the Elastic Inference (EI) instance to use for the production variant. EI instances provide on-demand GPU computing for inference. For more information, see Using Elastic Inference in Amazon SageMaker.

$sel:currentInstanceCount:PendingProductionVariantSummary', pendingProductionVariantSummary_currentInstanceCount - The number of instances associated with the variant.

$sel:currentServerlessConfig:PendingProductionVariantSummary', pendingProductionVariantSummary_currentServerlessConfig - The serverless configuration for the endpoint.

$sel:currentWeight:PendingProductionVariantSummary', pendingProductionVariantSummary_currentWeight - The weight associated with the variant.

$sel:deployedImages:PendingProductionVariantSummary', pendingProductionVariantSummary_deployedImages - An array of DeployedImage objects that specify the Amazon EC2 Container Registry paths of the inference images deployed on instances of this ProductionVariant.

$sel:desiredInstanceCount:PendingProductionVariantSummary', pendingProductionVariantSummary_desiredInstanceCount - The number of instances requested in this deployment, as specified in the endpoint configuration for the endpoint. The value is taken from the request to the CreateEndpointConfig operation.

$sel:desiredServerlessConfig:PendingProductionVariantSummary', pendingProductionVariantSummary_desiredServerlessConfig - The serverless configuration requested for this deployment, as specified in the endpoint configuration for the endpoint.

$sel:desiredWeight:PendingProductionVariantSummary', pendingProductionVariantSummary_desiredWeight - The requested weight for the variant in this deployment, as specified in the endpoint configuration for the endpoint. The value is taken from the request to the CreateEndpointConfig operation.

$sel:instanceType:PendingProductionVariantSummary', pendingProductionVariantSummary_instanceType - The type of instances associated with the variant.

$sel:variantStatus:PendingProductionVariantSummary', pendingProductionVariantSummary_variantStatus - The endpoint variant status which describes the current deployment stage status or operational status.

$sel:variantName:PendingProductionVariantSummary', pendingProductionVariantSummary_variantName - The name of the variant.

pendingProductionVariantSummary_acceleratorType :: Lens' PendingProductionVariantSummary (Maybe ProductionVariantAcceleratorType) Source #

The size of the Elastic Inference (EI) instance to use for the production variant. EI instances provide on-demand GPU computing for inference. For more information, see Using Elastic Inference in Amazon SageMaker.

pendingProductionVariantSummary_currentInstanceCount :: Lens' PendingProductionVariantSummary (Maybe Natural) Source #

The number of instances associated with the variant.

pendingProductionVariantSummary_currentServerlessConfig :: Lens' PendingProductionVariantSummary (Maybe ProductionVariantServerlessConfig) Source #

The serverless configuration for the endpoint.

pendingProductionVariantSummary_currentWeight :: Lens' PendingProductionVariantSummary (Maybe Double) Source #

The weight associated with the variant.

pendingProductionVariantSummary_deployedImages :: Lens' PendingProductionVariantSummary (Maybe [DeployedImage]) Source #

An array of DeployedImage objects that specify the Amazon EC2 Container Registry paths of the inference images deployed on instances of this ProductionVariant.

pendingProductionVariantSummary_desiredInstanceCount :: Lens' PendingProductionVariantSummary (Maybe Natural) Source #

The number of instances requested in this deployment, as specified in the endpoint configuration for the endpoint. The value is taken from the request to the CreateEndpointConfig operation.

pendingProductionVariantSummary_desiredServerlessConfig :: Lens' PendingProductionVariantSummary (Maybe ProductionVariantServerlessConfig) Source #

The serverless configuration requested for this deployment, as specified in the endpoint configuration for the endpoint.

pendingProductionVariantSummary_desiredWeight :: Lens' PendingProductionVariantSummary (Maybe Double) Source #

The requested weight for the variant in this deployment, as specified in the endpoint configuration for the endpoint. The value is taken from the request to the CreateEndpointConfig operation.

pendingProductionVariantSummary_instanceType :: Lens' PendingProductionVariantSummary (Maybe ProductionVariantInstanceType) Source #

The type of instances associated with the variant.

pendingProductionVariantSummary_variantStatus :: Lens' PendingProductionVariantSummary (Maybe [ProductionVariantStatus]) Source #

The endpoint variant status which describes the current deployment stage status or operational status.

pendingProductionVariantSummary_variantName :: Lens' PendingProductionVariantSummary Text Source #

The name of the variant.

Phase

data Phase Source #

Defines the traffic pattern.

See: newPhase smart constructor.

Constructors

Phase' 

Fields

Instances

Instances details
FromJSON Phase Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Phase

Methods

parseJSON :: Value -> Parser Phase #

parseJSONList :: Value -> Parser [Phase] #

ToJSON Phase Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Phase

Methods

toJSON :: Phase -> Value #

toEncoding :: Phase -> Encoding #

toJSONList :: [Phase] -> Value #

toEncodingList :: [Phase] -> Encoding #

Generic Phase Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Phase

Associated Types

type Rep Phase :: Type -> Type #

Methods

from :: Phase -> Rep Phase x #

to :: Rep Phase x -> Phase #

Read Phase Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Phase

Methods

readsPrec :: Int -> ReadS Phase #

readList :: ReadS [Phase] #

readPrec :: ReadPrec Phase #

readListPrec :: ReadPrec [Phase] #

Show Phase Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Phase

Methods

showsPrec :: Int -> Phase -> ShowS #

show :: Phase -> String #

showList :: [Phase] -> ShowS #

NFData Phase Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Phase

Methods

rnf :: Phase -> () #

Eq Phase Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Phase

Methods

(==) :: Phase -> Phase -> Bool #

(/=) :: Phase -> Phase -> Bool #

Hashable Phase Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Phase

Methods

hashWithSalt :: Int -> Phase -> Int #

hash :: Phase -> Int #

type Rep Phase Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Phase

type Rep Phase = D1 ('MetaData "Phase" "Amazonka.SageMaker.Types.Phase" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "Phase'" 'PrefixI 'True) (S1 ('MetaSel ('Just "durationInSeconds") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural)) :*: (S1 ('MetaSel ('Just "initialNumberOfUsers") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural)) :*: S1 ('MetaSel ('Just "spawnRate") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural)))))

newPhase :: Phase Source #

Create a value of Phase with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:durationInSeconds:Phase', phase_durationInSeconds - Specifies how long traffic phase should be.

$sel:initialNumberOfUsers:Phase', phase_initialNumberOfUsers - Specifies how many concurrent users to start with.

$sel:spawnRate:Phase', phase_spawnRate - Specified how many new users to spawn in a minute.

phase_durationInSeconds :: Lens' Phase (Maybe Natural) Source #

Specifies how long traffic phase should be.

phase_initialNumberOfUsers :: Lens' Phase (Maybe Natural) Source #

Specifies how many concurrent users to start with.

phase_spawnRate :: Lens' Phase (Maybe Natural) Source #

Specified how many new users to spawn in a minute.

Pipeline

data Pipeline Source #

A SageMaker Model Building Pipeline instance.

See: newPipeline smart constructor.

Constructors

Pipeline' 

Fields

Instances

Instances details
FromJSON Pipeline Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Pipeline

Methods

parseJSON :: Value -> Parser Pipeline #

parseJSONList :: Value -> Parser [Pipeline] #

Generic Pipeline Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Pipeline

Associated Types

type Rep Pipeline :: Type -> Type #

Methods

from :: Pipeline -> Rep Pipeline x #

to :: Rep Pipeline x -> Pipeline #

Read Pipeline Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Pipeline

Methods

readsPrec :: Int -> ReadS Pipeline #

readList :: ReadS [Pipeline] #

readPrec :: ReadPrec Pipeline #

readListPrec :: ReadPrec [Pipeline] #

Show Pipeline Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Pipeline

Methods

showsPrec :: Int -> Pipeline -> ShowS #

show :: Pipeline -> String #

showList :: [Pipeline] -> ShowS #

NFData Pipeline Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Pipeline

Methods

rnf :: Pipeline -> () #

Eq Pipeline Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Pipeline

Methods

(==) :: Pipeline -> Pipeline -> Bool #

(/=) :: Pipeline -> Pipeline -> Bool #

Hashable Pipeline Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Pipeline

Methods

hashWithSalt :: Int -> Pipeline -> Int #

hash :: Pipeline -> Int #

type Rep Pipeline Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Pipeline

type Rep Pipeline = D1 ('MetaData "Pipeline" "Amazonka.SageMaker.Types.Pipeline" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "Pipeline'" 'PrefixI 'True) (((S1 ('MetaSel ('Just "createdBy") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe UserContext)) :*: (S1 ('MetaSel ('Just "creationTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :*: S1 ('MetaSel ('Just "lastModifiedBy") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe UserContext)))) :*: (S1 ('MetaSel ('Just "lastModifiedTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :*: (S1 ('MetaSel ('Just "lastRunTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :*: S1 ('MetaSel ('Just "parallelismConfiguration") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ParallelismConfiguration))))) :*: ((S1 ('MetaSel ('Just "pipelineArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: (S1 ('MetaSel ('Just "pipelineDescription") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "pipelineDisplayName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))) :*: ((S1 ('MetaSel ('Just "pipelineName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "pipelineStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe PipelineStatus))) :*: (S1 ('MetaSel ('Just "roleArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "tags") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [Tag])))))))

newPipeline :: Pipeline Source #

Create a value of Pipeline with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:createdBy:Pipeline', pipeline_createdBy - Undocumented member.

$sel:creationTime:Pipeline', pipeline_creationTime - The creation time of the pipeline.

$sel:lastModifiedBy:Pipeline', pipeline_lastModifiedBy - Undocumented member.

$sel:lastModifiedTime:Pipeline', pipeline_lastModifiedTime - The time that the pipeline was last modified.

$sel:lastRunTime:Pipeline', pipeline_lastRunTime - The time when the pipeline was last run.

$sel:parallelismConfiguration:Pipeline', pipeline_parallelismConfiguration - The parallelism configuration applied to the pipeline.

$sel:pipelineArn:Pipeline', pipeline_pipelineArn - The Amazon Resource Name (ARN) of the pipeline.

$sel:pipelineDescription:Pipeline', pipeline_pipelineDescription - The description of the pipeline.

$sel:pipelineDisplayName:Pipeline', pipeline_pipelineDisplayName - The display name of the pipeline.

$sel:pipelineName:Pipeline', pipeline_pipelineName - The name of the pipeline.

$sel:pipelineStatus:Pipeline', pipeline_pipelineStatus - The status of the pipeline.

$sel:roleArn:Pipeline', pipeline_roleArn - The Amazon Resource Name (ARN) of the role that created the pipeline.

$sel:tags:Pipeline', pipeline_tags - A list of tags that apply to the pipeline.

pipeline_createdBy :: Lens' Pipeline (Maybe UserContext) Source #

Undocumented member.

pipeline_creationTime :: Lens' Pipeline (Maybe UTCTime) Source #

The creation time of the pipeline.

pipeline_lastModifiedBy :: Lens' Pipeline (Maybe UserContext) Source #

Undocumented member.

pipeline_lastModifiedTime :: Lens' Pipeline (Maybe UTCTime) Source #

The time that the pipeline was last modified.

pipeline_lastRunTime :: Lens' Pipeline (Maybe UTCTime) Source #

The time when the pipeline was last run.

pipeline_parallelismConfiguration :: Lens' Pipeline (Maybe ParallelismConfiguration) Source #

The parallelism configuration applied to the pipeline.

pipeline_pipelineArn :: Lens' Pipeline (Maybe Text) Source #

The Amazon Resource Name (ARN) of the pipeline.

pipeline_pipelineDescription :: Lens' Pipeline (Maybe Text) Source #

The description of the pipeline.

pipeline_pipelineDisplayName :: Lens' Pipeline (Maybe Text) Source #

The display name of the pipeline.

pipeline_pipelineName :: Lens' Pipeline (Maybe Text) Source #

The name of the pipeline.

pipeline_pipelineStatus :: Lens' Pipeline (Maybe PipelineStatus) Source #

The status of the pipeline.

pipeline_roleArn :: Lens' Pipeline (Maybe Text) Source #

The Amazon Resource Name (ARN) of the role that created the pipeline.

pipeline_tags :: Lens' Pipeline (Maybe [Tag]) Source #

A list of tags that apply to the pipeline.

PipelineDefinitionS3Location

data PipelineDefinitionS3Location Source #

The location of the pipeline definition stored in Amazon S3.

See: newPipelineDefinitionS3Location smart constructor.

Constructors

PipelineDefinitionS3Location' 

Fields

  • versionId :: Maybe Text

    Version Id of the pipeline definition file. If not specified, Amazon SageMaker will retrieve the latest version.

  • bucket :: Text

    Name of the S3 bucket.

  • objectKey :: Text

    The object key (or key name) uniquely identifies the object in an S3 bucket.

Instances

Instances details
ToJSON PipelineDefinitionS3Location Source # 
Instance details

Defined in Amazonka.SageMaker.Types.PipelineDefinitionS3Location

Methods

toJSON :: PipelineDefinitionS3Location -> Value #

toEncoding :: PipelineDefinitionS3Location -> Encoding #

toJSONList :: [PipelineDefinitionS3Location] -> Value #

toEncodingList :: [PipelineDefinitionS3Location] -> Encoding #

Generic PipelineDefinitionS3Location Source # 
Instance details

Defined in Amazonka.SageMaker.Types.PipelineDefinitionS3Location

Associated Types

type Rep PipelineDefinitionS3Location :: Type -> Type #

Methods

from :: PipelineDefinitionS3Location -> Rep PipelineDefinitionS3Location x #

to :: Rep PipelineDefinitionS3Location x -> PipelineDefinitionS3Location #

Read PipelineDefinitionS3Location Source # 
Instance details

Defined in Amazonka.SageMaker.Types.PipelineDefinitionS3Location

Methods

readsPrec :: Int -> ReadS PipelineDefinitionS3Location #

readList :: ReadS [PipelineDefinitionS3Location] #

readPrec :: ReadPrec PipelineDefinitionS3Location #

readListPrec :: ReadPrec [PipelineDefinitionS3Location] #

Show PipelineDefinitionS3Location Source # 
Instance details

Defined in Amazonka.SageMaker.Types.PipelineDefinitionS3Location

Methods

showsPrec :: Int -> PipelineDefinitionS3Location -> ShowS #

show :: PipelineDefinitionS3Location -> String #

showList :: [PipelineDefinitionS3Location] -> ShowS #

NFData PipelineDefinitionS3Location Source # 
Instance details

Defined in Amazonka.SageMaker.Types.PipelineDefinitionS3Location

Methods

rnf :: PipelineDefinitionS3Location -> () #

Eq PipelineDefinitionS3Location Source # 
Instance details

Defined in Amazonka.SageMaker.Types.PipelineDefinitionS3Location

Methods

(==) :: PipelineDefinitionS3Location -> PipelineDefinitionS3Location -> Bool #

(/=) :: PipelineDefinitionS3Location -> PipelineDefinitionS3Location -> Bool #

Hashable PipelineDefinitionS3Location Source # 
Instance details

Defined in Amazonka.SageMaker.Types.PipelineDefinitionS3Location

Methods

hashWithSalt :: Int -> PipelineDefinitionS3Location -> Int #

hash :: PipelineDefinitionS3Location -> Int #

type Rep PipelineDefinitionS3Location Source # 
Instance details

Defined in Amazonka.SageMaker.Types.PipelineDefinitionS3Location

type Rep PipelineDefinitionS3Location = D1 ('MetaData "PipelineDefinitionS3Location" "Amazonka.SageMaker.Types.PipelineDefinitionS3Location" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "PipelineDefinitionS3Location'" 'PrefixI 'True) (S1 ('MetaSel ('Just "versionId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: (S1 ('MetaSel ('Just "bucket") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: S1 ('MetaSel ('Just "objectKey") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text))))

newPipelineDefinitionS3Location Source #

Arguments

:: Text

$sel:bucket:PipelineDefinitionS3Location'

-> Text

$sel:objectKey:PipelineDefinitionS3Location'

-> PipelineDefinitionS3Location 

Create a value of PipelineDefinitionS3Location with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:versionId:PipelineDefinitionS3Location', pipelineDefinitionS3Location_versionId - Version Id of the pipeline definition file. If not specified, Amazon SageMaker will retrieve the latest version.

$sel:bucket:PipelineDefinitionS3Location', pipelineDefinitionS3Location_bucket - Name of the S3 bucket.

$sel:objectKey:PipelineDefinitionS3Location', pipelineDefinitionS3Location_objectKey - The object key (or key name) uniquely identifies the object in an S3 bucket.

pipelineDefinitionS3Location_versionId :: Lens' PipelineDefinitionS3Location (Maybe Text) Source #

Version Id of the pipeline definition file. If not specified, Amazon SageMaker will retrieve the latest version.

pipelineDefinitionS3Location_bucket :: Lens' PipelineDefinitionS3Location Text Source #

Name of the S3 bucket.

pipelineDefinitionS3Location_objectKey :: Lens' PipelineDefinitionS3Location Text Source #

The object key (or key name) uniquely identifies the object in an S3 bucket.

PipelineExecution

data PipelineExecution Source #

An execution of a pipeline.

See: newPipelineExecution smart constructor.

Constructors

PipelineExecution' 

Fields

Instances

Instances details
FromJSON PipelineExecution Source # 
Instance details

Defined in Amazonka.SageMaker.Types.PipelineExecution

Methods

parseJSON :: Value -> Parser PipelineExecution #

parseJSONList :: Value -> Parser [PipelineExecution] #

Generic PipelineExecution Source # 
Instance details

Defined in Amazonka.SageMaker.Types.PipelineExecution

Associated Types

type Rep PipelineExecution :: Type -> Type #

Methods

from :: PipelineExecution -> Rep PipelineExecution x #

to :: Rep PipelineExecution x -> PipelineExecution #

Read PipelineExecution Source # 
Instance details

Defined in Amazonka.SageMaker.Types.PipelineExecution

Methods

readsPrec :: Int -> ReadS PipelineExecution #

readList :: ReadS [PipelineExecution] #

readPrec :: ReadPrec PipelineExecution #

readListPrec :: ReadPrec [PipelineExecution] #

Show PipelineExecution Source # 
Instance details

Defined in Amazonka.SageMaker.Types.PipelineExecution

Methods

showsPrec :: Int -> PipelineExecution -> ShowS #

show :: PipelineExecution -> String #

showList :: [PipelineExecution] -> ShowS #

NFData PipelineExecution Source # 
Instance details

Defined in Amazonka.SageMaker.Types.PipelineExecution

Methods

rnf :: PipelineExecution -> () #

Eq PipelineExecution Source # 
Instance details

Defined in Amazonka.SageMaker.Types.PipelineExecution

Methods

(==) :: PipelineExecution -> PipelineExecution -> Bool #

(/=) :: PipelineExecution -> PipelineExecution -> Bool #

Hashable PipelineExecution Source # 
Instance details

Defined in Amazonka.SageMaker.Types.PipelineExecution

Methods

hashWithSalt :: Int -> PipelineExecution -> Int #

hash :: PipelineExecution -> Int #

type Rep PipelineExecution Source # 
Instance details

Defined in Amazonka.SageMaker.Types.PipelineExecution

type Rep PipelineExecution = D1 ('MetaData "PipelineExecution" "Amazonka.SageMaker.Types.PipelineExecution" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "PipelineExecution'" 'PrefixI 'True) (((S1 ('MetaSel ('Just "createdBy") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe UserContext)) :*: (S1 ('MetaSel ('Just "creationTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :*: S1 ('MetaSel ('Just "failureReason") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))) :*: (S1 ('MetaSel ('Just "lastModifiedBy") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe UserContext)) :*: (S1 ('MetaSel ('Just "lastModifiedTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :*: S1 ('MetaSel ('Just "parallelismConfiguration") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ParallelismConfiguration))))) :*: ((S1 ('MetaSel ('Just "pipelineArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: (S1 ('MetaSel ('Just "pipelineExecutionArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "pipelineExecutionDescription") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))) :*: ((S1 ('MetaSel ('Just "pipelineExecutionDisplayName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "pipelineExecutionStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe PipelineExecutionStatus))) :*: (S1 ('MetaSel ('Just "pipelineExperimentConfig") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe PipelineExperimentConfig)) :*: S1 ('MetaSel ('Just "pipelineParameters") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [Parameter])))))))

newPipelineExecution :: PipelineExecution Source #

Create a value of PipelineExecution with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:createdBy:PipelineExecution', pipelineExecution_createdBy - Undocumented member.

$sel:creationTime:PipelineExecution', pipelineExecution_creationTime - The creation time of the pipeline execution.

$sel:failureReason:PipelineExecution', pipelineExecution_failureReason - If the execution failed, a message describing why.

$sel:lastModifiedBy:PipelineExecution', pipelineExecution_lastModifiedBy - Undocumented member.

$sel:lastModifiedTime:PipelineExecution', pipelineExecution_lastModifiedTime - The time that the pipeline execution was last modified.

$sel:parallelismConfiguration:PipelineExecution', pipelineExecution_parallelismConfiguration - The parallelism configuration applied to the pipeline execution.

$sel:pipelineArn:PipelineExecution', pipelineExecution_pipelineArn - The Amazon Resource Name (ARN) of the pipeline that was executed.

$sel:pipelineExecutionArn:PipelineExecution', pipelineExecution_pipelineExecutionArn - The Amazon Resource Name (ARN) of the pipeline execution.

$sel:pipelineExecutionDescription:PipelineExecution', pipelineExecution_pipelineExecutionDescription - The description of the pipeline execution.

$sel:pipelineExecutionDisplayName:PipelineExecution', pipelineExecution_pipelineExecutionDisplayName - The display name of the pipeline execution.

$sel:pipelineExecutionStatus:PipelineExecution', pipelineExecution_pipelineExecutionStatus - The status of the pipeline status.

$sel:pipelineExperimentConfig:PipelineExecution', pipelineExecution_pipelineExperimentConfig - Undocumented member.

$sel:pipelineParameters:PipelineExecution', pipelineExecution_pipelineParameters - Contains a list of pipeline parameters. This list can be empty.

pipelineExecution_createdBy :: Lens' PipelineExecution (Maybe UserContext) Source #

Undocumented member.

pipelineExecution_creationTime :: Lens' PipelineExecution (Maybe UTCTime) Source #

The creation time of the pipeline execution.

pipelineExecution_failureReason :: Lens' PipelineExecution (Maybe Text) Source #

If the execution failed, a message describing why.

pipelineExecution_lastModifiedBy :: Lens' PipelineExecution (Maybe UserContext) Source #

Undocumented member.

pipelineExecution_lastModifiedTime :: Lens' PipelineExecution (Maybe UTCTime) Source #

The time that the pipeline execution was last modified.

pipelineExecution_parallelismConfiguration :: Lens' PipelineExecution (Maybe ParallelismConfiguration) Source #

The parallelism configuration applied to the pipeline execution.

pipelineExecution_pipelineArn :: Lens' PipelineExecution (Maybe Text) Source #

The Amazon Resource Name (ARN) of the pipeline that was executed.

pipelineExecution_pipelineExecutionArn :: Lens' PipelineExecution (Maybe Text) Source #

The Amazon Resource Name (ARN) of the pipeline execution.

pipelineExecution_pipelineExecutionDescription :: Lens' PipelineExecution (Maybe Text) Source #

The description of the pipeline execution.

pipelineExecution_pipelineExecutionDisplayName :: Lens' PipelineExecution (Maybe Text) Source #

The display name of the pipeline execution.

pipelineExecution_pipelineExecutionStatus :: Lens' PipelineExecution (Maybe PipelineExecutionStatus) Source #

The status of the pipeline status.

pipelineExecution_pipelineExperimentConfig :: Lens' PipelineExecution (Maybe PipelineExperimentConfig) Source #

Undocumented member.

pipelineExecution_pipelineParameters :: Lens' PipelineExecution (Maybe [Parameter]) Source #

Contains a list of pipeline parameters. This list can be empty.

PipelineExecutionStep

data PipelineExecutionStep Source #

An execution of a step in a pipeline.

See: newPipelineExecutionStep smart constructor.

Constructors

PipelineExecutionStep' 

Fields

Instances

Instances details
FromJSON PipelineExecutionStep Source # 
Instance details

Defined in Amazonka.SageMaker.Types.PipelineExecutionStep

Methods

parseJSON :: Value -> Parser PipelineExecutionStep #

parseJSONList :: Value -> Parser [PipelineExecutionStep] #

Generic PipelineExecutionStep Source # 
Instance details

Defined in Amazonka.SageMaker.Types.PipelineExecutionStep

Associated Types

type Rep PipelineExecutionStep :: Type -> Type #

Methods

from :: PipelineExecutionStep -> Rep PipelineExecutionStep x #

to :: Rep PipelineExecutionStep x -> PipelineExecutionStep #

Read PipelineExecutionStep Source # 
Instance details

Defined in Amazonka.SageMaker.Types.PipelineExecutionStep

Methods

readsPrec :: Int -> ReadS PipelineExecutionStep #

readList :: ReadS [PipelineExecutionStep] #

readPrec :: ReadPrec PipelineExecutionStep #

readListPrec :: ReadPrec [PipelineExecutionStep] #

Show PipelineExecutionStep Source # 
Instance details

Defined in Amazonka.SageMaker.Types.PipelineExecutionStep

Methods

showsPrec :: Int -> PipelineExecutionStep -> ShowS #

show :: PipelineExecutionStep -> String #

showList :: [PipelineExecutionStep] -> ShowS #

NFData PipelineExecutionStep Source # 
Instance details

Defined in Amazonka.SageMaker.Types.PipelineExecutionStep

Methods

rnf :: PipelineExecutionStep -> () #

Eq PipelineExecutionStep Source # 
Instance details

Defined in Amazonka.SageMaker.Types.PipelineExecutionStep

Methods

(==) :: PipelineExecutionStep -> PipelineExecutionStep -> Bool #

(/=) :: PipelineExecutionStep -> PipelineExecutionStep -> Bool #

Hashable PipelineExecutionStep Source # 
Instance details

Defined in Amazonka.SageMaker.Types.PipelineExecutionStep

Methods

hashWithSalt :: Int -> PipelineExecutionStep -> Int #

hash :: PipelineExecutionStep -> Int #

type Rep PipelineExecutionStep Source # 
Instance details

Defined in Amazonka.SageMaker.Types.PipelineExecutionStep

type Rep PipelineExecutionStep = D1 ('MetaData "PipelineExecutionStep" "Amazonka.SageMaker.Types.PipelineExecutionStep" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "PipelineExecutionStep'" 'PrefixI 'True) (((S1 ('MetaSel ('Just "attemptCount") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Int)) :*: S1 ('MetaSel ('Just "cacheHitResult") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe CacheHitResult))) :*: (S1 ('MetaSel ('Just "endTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :*: (S1 ('MetaSel ('Just "failureReason") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "metadata") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe PipelineExecutionStepMetadata))))) :*: ((S1 ('MetaSel ('Just "startTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :*: S1 ('MetaSel ('Just "stepDescription") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))) :*: (S1 ('MetaSel ('Just "stepDisplayName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: (S1 ('MetaSel ('Just "stepName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "stepStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe StepStatus)))))))

newPipelineExecutionStep :: PipelineExecutionStep Source #

Create a value of PipelineExecutionStep with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:attemptCount:PipelineExecutionStep', pipelineExecutionStep_attemptCount - The current attempt of the execution step. For more information, see Retry Policy for SageMaker Pipelines steps.

$sel:cacheHitResult:PipelineExecutionStep', pipelineExecutionStep_cacheHitResult - If this pipeline execution step was cached, details on the cache hit.

$sel:endTime:PipelineExecutionStep', pipelineExecutionStep_endTime - The time that the step stopped executing.

$sel:failureReason:PipelineExecutionStep', pipelineExecutionStep_failureReason - The reason why the step failed execution. This is only returned if the step failed its execution.

$sel:metadata:PipelineExecutionStep', pipelineExecutionStep_metadata - Metadata to run the pipeline step.

$sel:startTime:PipelineExecutionStep', pipelineExecutionStep_startTime - The time that the step started executing.

$sel:stepDescription:PipelineExecutionStep', pipelineExecutionStep_stepDescription - The description of the step.

$sel:stepDisplayName:PipelineExecutionStep', pipelineExecutionStep_stepDisplayName - The display name of the step.

$sel:stepName:PipelineExecutionStep', pipelineExecutionStep_stepName - The name of the step that is executed.

$sel:stepStatus:PipelineExecutionStep', pipelineExecutionStep_stepStatus - The status of the step execution.

pipelineExecutionStep_attemptCount :: Lens' PipelineExecutionStep (Maybe Int) Source #

The current attempt of the execution step. For more information, see Retry Policy for SageMaker Pipelines steps.

pipelineExecutionStep_cacheHitResult :: Lens' PipelineExecutionStep (Maybe CacheHitResult) Source #

If this pipeline execution step was cached, details on the cache hit.

pipelineExecutionStep_endTime :: Lens' PipelineExecutionStep (Maybe UTCTime) Source #

The time that the step stopped executing.

pipelineExecutionStep_failureReason :: Lens' PipelineExecutionStep (Maybe Text) Source #

The reason why the step failed execution. This is only returned if the step failed its execution.

pipelineExecutionStep_metadata :: Lens' PipelineExecutionStep (Maybe PipelineExecutionStepMetadata) Source #

Metadata to run the pipeline step.

pipelineExecutionStep_startTime :: Lens' PipelineExecutionStep (Maybe UTCTime) Source #

The time that the step started executing.

pipelineExecutionStep_stepDescription :: Lens' PipelineExecutionStep (Maybe Text) Source #

The description of the step.

pipelineExecutionStep_stepDisplayName :: Lens' PipelineExecutionStep (Maybe Text) Source #

The display name of the step.

pipelineExecutionStep_stepName :: Lens' PipelineExecutionStep (Maybe Text) Source #

The name of the step that is executed.

pipelineExecutionStep_stepStatus :: Lens' PipelineExecutionStep (Maybe StepStatus) Source #

The status of the step execution.

PipelineExecutionStepMetadata

data PipelineExecutionStepMetadata Source #

Metadata for a step execution.

See: newPipelineExecutionStepMetadata smart constructor.

Constructors

PipelineExecutionStepMetadata' 

Fields

  • autoMLJob :: Maybe AutoMLJobStepMetadata

    The Amazon Resource Name (ARN) of the AutoML job that was run by this step.

  • callback :: Maybe CallbackStepMetadata

    The URL of the Amazon SQS queue used by this step execution, the pipeline generated token, and a list of output parameters.

  • clarifyCheck :: Maybe ClarifyCheckStepMetadata

    Container for the metadata for a Clarify check step. The configurations and outcomes of the check step execution. This includes:

    • The type of the check conducted,
    • The Amazon S3 URIs of baseline constraints and statistics files to be used for the drift check.
    • The Amazon S3 URIs of newly calculated baseline constraints and statistics.
    • The model package group name provided.
    • The Amazon S3 URI of the violation report if violations detected.
    • The Amazon Resource Name (ARN) of check processing job initiated by the step execution.
    • The boolean flags indicating if the drift check is skipped.
    • If step property BaselineUsedForDriftCheck is set the same as CalculatedBaseline.
  • condition :: Maybe ConditionStepMetadata

    The outcome of the condition evaluation that was run by this step execution.

  • emr :: Maybe EMRStepMetadata

    The configurations and outcomes of an Amazon EMR step execution.

  • fail :: Maybe FailStepMetadata

    The configurations and outcomes of a Fail step execution.

  • lambda :: Maybe LambdaStepMetadata

    The Amazon Resource Name (ARN) of the Lambda function that was run by this step execution and a list of output parameters.

  • model :: Maybe ModelStepMetadata

    The Amazon Resource Name (ARN) of the model that was created by this step execution.

  • processingJob :: Maybe ProcessingJobStepMetadata

    The Amazon Resource Name (ARN) of the processing job that was run by this step execution.

  • qualityCheck :: Maybe QualityCheckStepMetadata

    The configurations and outcomes of the check step execution. This includes:

    • The type of the check conducted.
    • The Amazon S3 URIs of baseline constraints and statistics files to be used for the drift check.
    • The Amazon S3 URIs of newly calculated baseline constraints and statistics.
    • The model package group name provided.
    • The Amazon S3 URI of the violation report if violations detected.
    • The Amazon Resource Name (ARN) of check processing job initiated by the step execution.
    • The Boolean flags indicating if the drift check is skipped.
    • If step property BaselineUsedForDriftCheck is set the same as CalculatedBaseline.
  • registerModel :: Maybe RegisterModelStepMetadata

    The Amazon Resource Name (ARN) of the model package that the model was registered to by this step execution.

  • trainingJob :: Maybe TrainingJobStepMetadata

    The Amazon Resource Name (ARN) of the training job that was run by this step execution.

  • transformJob :: Maybe TransformJobStepMetadata

    The Amazon Resource Name (ARN) of the transform job that was run by this step execution.

  • tuningJob :: Maybe TuningJobStepMetaData

    The Amazon Resource Name (ARN) of the tuning job that was run by this step execution.

Instances

Instances details
FromJSON PipelineExecutionStepMetadata Source # 
Instance details

Defined in Amazonka.SageMaker.Types.PipelineExecutionStepMetadata

Methods

parseJSON :: Value -> Parser PipelineExecutionStepMetadata #

parseJSONList :: Value -> Parser [PipelineExecutionStepMetadata] #

Generic PipelineExecutionStepMetadata Source # 
Instance details

Defined in Amazonka.SageMaker.Types.PipelineExecutionStepMetadata

Associated Types

type Rep PipelineExecutionStepMetadata :: Type -> Type #

Methods

from :: PipelineExecutionStepMetadata -> Rep PipelineExecutionStepMetadata x #

to :: Rep PipelineExecutionStepMetadata x -> PipelineExecutionStepMetadata #

Read PipelineExecutionStepMetadata Source # 
Instance details

Defined in Amazonka.SageMaker.Types.PipelineExecutionStepMetadata

Methods

readsPrec :: Int -> ReadS PipelineExecutionStepMetadata #

readList :: ReadS [PipelineExecutionStepMetadata] #

readPrec :: ReadPrec PipelineExecutionStepMetadata #

readListPrec :: ReadPrec [PipelineExecutionStepMetadata] #

Show PipelineExecutionStepMetadata Source # 
Instance details

Defined in Amazonka.SageMaker.Types.PipelineExecutionStepMetadata

Methods

showsPrec :: Int -> PipelineExecutionStepMetadata -> ShowS #

show :: PipelineExecutionStepMetadata -> String #

showList :: [PipelineExecutionStepMetadata] -> ShowS #

NFData PipelineExecutionStepMetadata Source # 
Instance details

Defined in Amazonka.SageMaker.Types.PipelineExecutionStepMetadata

Methods

rnf :: PipelineExecutionStepMetadata -> () #

Eq PipelineExecutionStepMetadata Source # 
Instance details

Defined in Amazonka.SageMaker.Types.PipelineExecutionStepMetadata

Methods

(==) :: PipelineExecutionStepMetadata -> PipelineExecutionStepMetadata -> Bool #

(/=) :: PipelineExecutionStepMetadata -> PipelineExecutionStepMetadata -> Bool #

Hashable PipelineExecutionStepMetadata Source # 
Instance details

Defined in Amazonka.SageMaker.Types.PipelineExecutionStepMetadata

Methods

hashWithSalt :: Int -> PipelineExecutionStepMetadata -> Int #

hash :: PipelineExecutionStepMetadata -> Int #

type Rep PipelineExecutionStepMetadata Source # 
Instance details

Defined in Amazonka.SageMaker.Types.PipelineExecutionStepMetadata

type Rep PipelineExecutionStepMetadata = D1 ('MetaData "PipelineExecutionStepMetadata" "Amazonka.SageMaker.Types.PipelineExecutionStepMetadata" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "PipelineExecutionStepMetadata'" 'PrefixI 'True) (((S1 ('MetaSel ('Just "autoMLJob") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe AutoMLJobStepMetadata)) :*: (S1 ('MetaSel ('Just "callback") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe CallbackStepMetadata)) :*: S1 ('MetaSel ('Just "clarifyCheck") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ClarifyCheckStepMetadata)))) :*: ((S1 ('MetaSel ('Just "condition") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ConditionStepMetadata)) :*: S1 ('MetaSel ('Just "emr") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe EMRStepMetadata))) :*: (S1 ('MetaSel ('Just "fail") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe FailStepMetadata)) :*: S1 ('MetaSel ('Just "lambda") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe LambdaStepMetadata))))) :*: ((S1 ('MetaSel ('Just "model") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ModelStepMetadata)) :*: (S1 ('MetaSel ('Just "processingJob") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ProcessingJobStepMetadata)) :*: S1 ('MetaSel ('Just "qualityCheck") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe QualityCheckStepMetadata)))) :*: ((S1 ('MetaSel ('Just "registerModel") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe RegisterModelStepMetadata)) :*: S1 ('MetaSel ('Just "trainingJob") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe TrainingJobStepMetadata))) :*: (S1 ('MetaSel ('Just "transformJob") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe TransformJobStepMetadata)) :*: S1 ('MetaSel ('Just "tuningJob") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe TuningJobStepMetaData)))))))

newPipelineExecutionStepMetadata :: PipelineExecutionStepMetadata Source #

Create a value of PipelineExecutionStepMetadata with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:autoMLJob:PipelineExecutionStepMetadata', pipelineExecutionStepMetadata_autoMLJob - The Amazon Resource Name (ARN) of the AutoML job that was run by this step.

$sel:callback:PipelineExecutionStepMetadata', pipelineExecutionStepMetadata_callback - The URL of the Amazon SQS queue used by this step execution, the pipeline generated token, and a list of output parameters.

$sel:clarifyCheck:PipelineExecutionStepMetadata', pipelineExecutionStepMetadata_clarifyCheck - Container for the metadata for a Clarify check step. The configurations and outcomes of the check step execution. This includes:

  • The type of the check conducted,
  • The Amazon S3 URIs of baseline constraints and statistics files to be used for the drift check.
  • The Amazon S3 URIs of newly calculated baseline constraints and statistics.
  • The model package group name provided.
  • The Amazon S3 URI of the violation report if violations detected.
  • The Amazon Resource Name (ARN) of check processing job initiated by the step execution.
  • The boolean flags indicating if the drift check is skipped.
  • If step property BaselineUsedForDriftCheck is set the same as CalculatedBaseline.

$sel:condition:PipelineExecutionStepMetadata', pipelineExecutionStepMetadata_condition - The outcome of the condition evaluation that was run by this step execution.

$sel:emr:PipelineExecutionStepMetadata', pipelineExecutionStepMetadata_emr - The configurations and outcomes of an Amazon EMR step execution.

$sel:fail:PipelineExecutionStepMetadata', pipelineExecutionStepMetadata_fail - The configurations and outcomes of a Fail step execution.

$sel:lambda:PipelineExecutionStepMetadata', pipelineExecutionStepMetadata_lambda - The Amazon Resource Name (ARN) of the Lambda function that was run by this step execution and a list of output parameters.

$sel:model:PipelineExecutionStepMetadata', pipelineExecutionStepMetadata_model - The Amazon Resource Name (ARN) of the model that was created by this step execution.

$sel:processingJob:PipelineExecutionStepMetadata', pipelineExecutionStepMetadata_processingJob - The Amazon Resource Name (ARN) of the processing job that was run by this step execution.

$sel:qualityCheck:PipelineExecutionStepMetadata', pipelineExecutionStepMetadata_qualityCheck - The configurations and outcomes of the check step execution. This includes:

  • The type of the check conducted.
  • The Amazon S3 URIs of baseline constraints and statistics files to be used for the drift check.
  • The Amazon S3 URIs of newly calculated baseline constraints and statistics.
  • The model package group name provided.
  • The Amazon S3 URI of the violation report if violations detected.
  • The Amazon Resource Name (ARN) of check processing job initiated by the step execution.
  • The Boolean flags indicating if the drift check is skipped.
  • If step property BaselineUsedForDriftCheck is set the same as CalculatedBaseline.

$sel:registerModel:PipelineExecutionStepMetadata', pipelineExecutionStepMetadata_registerModel - The Amazon Resource Name (ARN) of the model package that the model was registered to by this step execution.

$sel:trainingJob:PipelineExecutionStepMetadata', pipelineExecutionStepMetadata_trainingJob - The Amazon Resource Name (ARN) of the training job that was run by this step execution.

$sel:transformJob:PipelineExecutionStepMetadata', pipelineExecutionStepMetadata_transformJob - The Amazon Resource Name (ARN) of the transform job that was run by this step execution.

$sel:tuningJob:PipelineExecutionStepMetadata', pipelineExecutionStepMetadata_tuningJob - The Amazon Resource Name (ARN) of the tuning job that was run by this step execution.

pipelineExecutionStepMetadata_autoMLJob :: Lens' PipelineExecutionStepMetadata (Maybe AutoMLJobStepMetadata) Source #

The Amazon Resource Name (ARN) of the AutoML job that was run by this step.

pipelineExecutionStepMetadata_callback :: Lens' PipelineExecutionStepMetadata (Maybe CallbackStepMetadata) Source #

The URL of the Amazon SQS queue used by this step execution, the pipeline generated token, and a list of output parameters.

pipelineExecutionStepMetadata_clarifyCheck :: Lens' PipelineExecutionStepMetadata (Maybe ClarifyCheckStepMetadata) Source #

Container for the metadata for a Clarify check step. The configurations and outcomes of the check step execution. This includes:

  • The type of the check conducted,
  • The Amazon S3 URIs of baseline constraints and statistics files to be used for the drift check.
  • The Amazon S3 URIs of newly calculated baseline constraints and statistics.
  • The model package group name provided.
  • The Amazon S3 URI of the violation report if violations detected.
  • The Amazon Resource Name (ARN) of check processing job initiated by the step execution.
  • The boolean flags indicating if the drift check is skipped.
  • If step property BaselineUsedForDriftCheck is set the same as CalculatedBaseline.

pipelineExecutionStepMetadata_condition :: Lens' PipelineExecutionStepMetadata (Maybe ConditionStepMetadata) Source #

The outcome of the condition evaluation that was run by this step execution.

pipelineExecutionStepMetadata_emr :: Lens' PipelineExecutionStepMetadata (Maybe EMRStepMetadata) Source #

The configurations and outcomes of an Amazon EMR step execution.

pipelineExecutionStepMetadata_fail :: Lens' PipelineExecutionStepMetadata (Maybe FailStepMetadata) Source #

The configurations and outcomes of a Fail step execution.

pipelineExecutionStepMetadata_lambda :: Lens' PipelineExecutionStepMetadata (Maybe LambdaStepMetadata) Source #

The Amazon Resource Name (ARN) of the Lambda function that was run by this step execution and a list of output parameters.

pipelineExecutionStepMetadata_model :: Lens' PipelineExecutionStepMetadata (Maybe ModelStepMetadata) Source #

The Amazon Resource Name (ARN) of the model that was created by this step execution.

pipelineExecutionStepMetadata_processingJob :: Lens' PipelineExecutionStepMetadata (Maybe ProcessingJobStepMetadata) Source #

The Amazon Resource Name (ARN) of the processing job that was run by this step execution.

pipelineExecutionStepMetadata_qualityCheck :: Lens' PipelineExecutionStepMetadata (Maybe QualityCheckStepMetadata) Source #

The configurations and outcomes of the check step execution. This includes:

  • The type of the check conducted.
  • The Amazon S3 URIs of baseline constraints and statistics files to be used for the drift check.
  • The Amazon S3 URIs of newly calculated baseline constraints and statistics.
  • The model package group name provided.
  • The Amazon S3 URI of the violation report if violations detected.
  • The Amazon Resource Name (ARN) of check processing job initiated by the step execution.
  • The Boolean flags indicating if the drift check is skipped.
  • If step property BaselineUsedForDriftCheck is set the same as CalculatedBaseline.

pipelineExecutionStepMetadata_registerModel :: Lens' PipelineExecutionStepMetadata (Maybe RegisterModelStepMetadata) Source #

The Amazon Resource Name (ARN) of the model package that the model was registered to by this step execution.

pipelineExecutionStepMetadata_trainingJob :: Lens' PipelineExecutionStepMetadata (Maybe TrainingJobStepMetadata) Source #

The Amazon Resource Name (ARN) of the training job that was run by this step execution.

pipelineExecutionStepMetadata_transformJob :: Lens' PipelineExecutionStepMetadata (Maybe TransformJobStepMetadata) Source #

The Amazon Resource Name (ARN) of the transform job that was run by this step execution.

pipelineExecutionStepMetadata_tuningJob :: Lens' PipelineExecutionStepMetadata (Maybe TuningJobStepMetaData) Source #

The Amazon Resource Name (ARN) of the tuning job that was run by this step execution.

PipelineExecutionSummary

data PipelineExecutionSummary Source #

A pipeline execution summary.

See: newPipelineExecutionSummary smart constructor.

Constructors

PipelineExecutionSummary' 

Fields

Instances

Instances details
FromJSON PipelineExecutionSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.PipelineExecutionSummary

Methods

parseJSON :: Value -> Parser PipelineExecutionSummary #

parseJSONList :: Value -> Parser [PipelineExecutionSummary] #

Generic PipelineExecutionSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.PipelineExecutionSummary

Associated Types

type Rep PipelineExecutionSummary :: Type -> Type #

Methods

from :: PipelineExecutionSummary -> Rep PipelineExecutionSummary x #

to :: Rep PipelineExecutionSummary x -> PipelineExecutionSummary #

Read PipelineExecutionSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.PipelineExecutionSummary

Methods

readsPrec :: Int -> ReadS PipelineExecutionSummary #

readList :: ReadS [PipelineExecutionSummary] #

readPrec :: ReadPrec PipelineExecutionSummary #

readListPrec :: ReadPrec [PipelineExecutionSummary] #

Show PipelineExecutionSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.PipelineExecutionSummary

Methods

showsPrec :: Int -> PipelineExecutionSummary -> ShowS #

show :: PipelineExecutionSummary -> String #

showList :: [PipelineExecutionSummary] -> ShowS #

NFData PipelineExecutionSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.PipelineExecutionSummary

Methods

rnf :: PipelineExecutionSummary -> () #

Eq PipelineExecutionSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.PipelineExecutionSummary

Methods

(==) :: PipelineExecutionSummary -> PipelineExecutionSummary -> Bool #

(/=) :: PipelineExecutionSummary -> PipelineExecutionSummary -> Bool #

Hashable PipelineExecutionSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.PipelineExecutionSummary

Methods

hashWithSalt :: Int -> PipelineExecutionSummary -> Int #

hash :: PipelineExecutionSummary -> Int #

type Rep PipelineExecutionSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.PipelineExecutionSummary

type Rep PipelineExecutionSummary = D1 ('MetaData "PipelineExecutionSummary" "Amazonka.SageMaker.Types.PipelineExecutionSummary" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "PipelineExecutionSummary'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "pipelineExecutionArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: (S1 ('MetaSel ('Just "pipelineExecutionDescription") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "pipelineExecutionDisplayName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))) :*: (S1 ('MetaSel ('Just "pipelineExecutionFailureReason") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: (S1 ('MetaSel ('Just "pipelineExecutionStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe PipelineExecutionStatus)) :*: S1 ('MetaSel ('Just "startTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX))))))

newPipelineExecutionSummary :: PipelineExecutionSummary Source #

Create a value of PipelineExecutionSummary with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:pipelineExecutionArn:PipelineExecutionSummary', pipelineExecutionSummary_pipelineExecutionArn - The Amazon Resource Name (ARN) of the pipeline execution.

$sel:pipelineExecutionDescription:PipelineExecutionSummary', pipelineExecutionSummary_pipelineExecutionDescription - The description of the pipeline execution.

$sel:pipelineExecutionDisplayName:PipelineExecutionSummary', pipelineExecutionSummary_pipelineExecutionDisplayName - The display name of the pipeline execution.

$sel:pipelineExecutionFailureReason:PipelineExecutionSummary', pipelineExecutionSummary_pipelineExecutionFailureReason - A message generated by SageMaker Pipelines describing why the pipeline execution failed.

$sel:pipelineExecutionStatus:PipelineExecutionSummary', pipelineExecutionSummary_pipelineExecutionStatus - The status of the pipeline execution.

$sel:startTime:PipelineExecutionSummary', pipelineExecutionSummary_startTime - The start time of the pipeline execution.

pipelineExecutionSummary_pipelineExecutionArn :: Lens' PipelineExecutionSummary (Maybe Text) Source #

The Amazon Resource Name (ARN) of the pipeline execution.

pipelineExecutionSummary_pipelineExecutionDescription :: Lens' PipelineExecutionSummary (Maybe Text) Source #

The description of the pipeline execution.

pipelineExecutionSummary_pipelineExecutionDisplayName :: Lens' PipelineExecutionSummary (Maybe Text) Source #

The display name of the pipeline execution.

pipelineExecutionSummary_pipelineExecutionFailureReason :: Lens' PipelineExecutionSummary (Maybe Text) Source #

A message generated by SageMaker Pipelines describing why the pipeline execution failed.

pipelineExecutionSummary_pipelineExecutionStatus :: Lens' PipelineExecutionSummary (Maybe PipelineExecutionStatus) Source #

The status of the pipeline execution.

pipelineExecutionSummary_startTime :: Lens' PipelineExecutionSummary (Maybe UTCTime) Source #

The start time of the pipeline execution.

PipelineExperimentConfig

data PipelineExperimentConfig Source #

Specifies the names of the experiment and trial created by a pipeline.

See: newPipelineExperimentConfig smart constructor.

Constructors

PipelineExperimentConfig' 

Fields

Instances

Instances details
FromJSON PipelineExperimentConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.PipelineExperimentConfig

Methods

parseJSON :: Value -> Parser PipelineExperimentConfig #

parseJSONList :: Value -> Parser [PipelineExperimentConfig] #

Generic PipelineExperimentConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.PipelineExperimentConfig

Associated Types

type Rep PipelineExperimentConfig :: Type -> Type #

Methods

from :: PipelineExperimentConfig -> Rep PipelineExperimentConfig x #

to :: Rep PipelineExperimentConfig x -> PipelineExperimentConfig #

Read PipelineExperimentConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.PipelineExperimentConfig

Methods

readsPrec :: Int -> ReadS PipelineExperimentConfig #

readList :: ReadS [PipelineExperimentConfig] #

readPrec :: ReadPrec PipelineExperimentConfig #

readListPrec :: ReadPrec [PipelineExperimentConfig] #

Show PipelineExperimentConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.PipelineExperimentConfig

Methods

showsPrec :: Int -> PipelineExperimentConfig -> ShowS #

show :: PipelineExperimentConfig -> String #

showList :: [PipelineExperimentConfig] -> ShowS #

NFData PipelineExperimentConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.PipelineExperimentConfig

Methods

rnf :: PipelineExperimentConfig -> () #

Eq PipelineExperimentConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.PipelineExperimentConfig

Methods

(==) :: PipelineExperimentConfig -> PipelineExperimentConfig -> Bool #

(/=) :: PipelineExperimentConfig -> PipelineExperimentConfig -> Bool #

Hashable PipelineExperimentConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.PipelineExperimentConfig

Methods

hashWithSalt :: Int -> PipelineExperimentConfig -> Int #

hash :: PipelineExperimentConfig -> Int #

type Rep PipelineExperimentConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.PipelineExperimentConfig

type Rep PipelineExperimentConfig = D1 ('MetaData "PipelineExperimentConfig" "Amazonka.SageMaker.Types.PipelineExperimentConfig" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "PipelineExperimentConfig'" 'PrefixI 'True) (S1 ('MetaSel ('Just "experimentName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "trialName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))

newPipelineExperimentConfig :: PipelineExperimentConfig Source #

Create a value of PipelineExperimentConfig with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:experimentName:PipelineExperimentConfig', pipelineExperimentConfig_experimentName - The name of the experiment.

$sel:trialName:PipelineExperimentConfig', pipelineExperimentConfig_trialName - The name of the trial.

pipelineExperimentConfig_experimentName :: Lens' PipelineExperimentConfig (Maybe Text) Source #

The name of the experiment.

pipelineExperimentConfig_trialName :: Lens' PipelineExperimentConfig (Maybe Text) Source #

The name of the trial.

PipelineSummary

data PipelineSummary Source #

A summary of a pipeline.

See: newPipelineSummary smart constructor.

Constructors

PipelineSummary' 

Fields

Instances

Instances details
FromJSON PipelineSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.PipelineSummary

Methods

parseJSON :: Value -> Parser PipelineSummary #

parseJSONList :: Value -> Parser [PipelineSummary] #

Generic PipelineSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.PipelineSummary

Associated Types

type Rep PipelineSummary :: Type -> Type #

Methods

from :: PipelineSummary -> Rep PipelineSummary x #

to :: Rep PipelineSummary x -> PipelineSummary #

Read PipelineSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.PipelineSummary

Methods

readsPrec :: Int -> ReadS PipelineSummary #

readList :: ReadS [PipelineSummary] #

readPrec :: ReadPrec PipelineSummary #

readListPrec :: ReadPrec [PipelineSummary] #

Show PipelineSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.PipelineSummary

Methods

showsPrec :: Int -> PipelineSummary -> ShowS #

show :: PipelineSummary -> String #

showList :: [PipelineSummary] -> ShowS #

NFData PipelineSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.PipelineSummary

Methods

rnf :: PipelineSummary -> () #

Eq PipelineSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.PipelineSummary

Methods

(==) :: PipelineSummary -> PipelineSummary -> Bool #

(/=) :: PipelineSummary -> PipelineSummary -> Bool #

Hashable PipelineSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.PipelineSummary

Methods

hashWithSalt :: Int -> PipelineSummary -> Int #

hash :: PipelineSummary -> Int #

type Rep PipelineSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.PipelineSummary

type Rep PipelineSummary = D1 ('MetaData "PipelineSummary" "Amazonka.SageMaker.Types.PipelineSummary" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "PipelineSummary'" 'PrefixI 'True) (((S1 ('MetaSel ('Just "creationTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :*: S1 ('MetaSel ('Just "lastExecutionTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX))) :*: (S1 ('MetaSel ('Just "lastModifiedTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :*: S1 ('MetaSel ('Just "pipelineArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))) :*: ((S1 ('MetaSel ('Just "pipelineDescription") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "pipelineDisplayName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))) :*: (S1 ('MetaSel ('Just "pipelineName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "roleArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))))

newPipelineSummary :: PipelineSummary Source #

Create a value of PipelineSummary with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:creationTime:PipelineSummary', pipelineSummary_creationTime - The creation time of the pipeline.

$sel:lastExecutionTime:PipelineSummary', pipelineSummary_lastExecutionTime - The last time that a pipeline execution began.

$sel:lastModifiedTime:PipelineSummary', pipelineSummary_lastModifiedTime - The time that the pipeline was last modified.

$sel:pipelineArn:PipelineSummary', pipelineSummary_pipelineArn - The Amazon Resource Name (ARN) of the pipeline.

$sel:pipelineDescription:PipelineSummary', pipelineSummary_pipelineDescription - The description of the pipeline.

$sel:pipelineDisplayName:PipelineSummary', pipelineSummary_pipelineDisplayName - The display name of the pipeline.

$sel:pipelineName:PipelineSummary', pipelineSummary_pipelineName - The name of the pipeline.

$sel:roleArn:PipelineSummary', pipelineSummary_roleArn - The Amazon Resource Name (ARN) that the pipeline used to execute.

pipelineSummary_creationTime :: Lens' PipelineSummary (Maybe UTCTime) Source #

The creation time of the pipeline.

pipelineSummary_lastExecutionTime :: Lens' PipelineSummary (Maybe UTCTime) Source #

The last time that a pipeline execution began.

pipelineSummary_lastModifiedTime :: Lens' PipelineSummary (Maybe UTCTime) Source #

The time that the pipeline was last modified.

pipelineSummary_pipelineArn :: Lens' PipelineSummary (Maybe Text) Source #

The Amazon Resource Name (ARN) of the pipeline.

pipelineSummary_pipelineDescription :: Lens' PipelineSummary (Maybe Text) Source #

The description of the pipeline.

pipelineSummary_pipelineDisplayName :: Lens' PipelineSummary (Maybe Text) Source #

The display name of the pipeline.

pipelineSummary_pipelineName :: Lens' PipelineSummary (Maybe Text) Source #

The name of the pipeline.

pipelineSummary_roleArn :: Lens' PipelineSummary (Maybe Text) Source #

The Amazon Resource Name (ARN) that the pipeline used to execute.

ProcessingClusterConfig

data ProcessingClusterConfig Source #

Configuration for the cluster used to run a processing job.

See: newProcessingClusterConfig smart constructor.

Constructors

ProcessingClusterConfig' 

Fields

  • volumeKmsKeyId :: Maybe Text

    The Amazon Web Services Key Management Service (Amazon Web Services KMS) key that Amazon SageMaker uses to encrypt data on the storage volume attached to the ML compute instance(s) that run the processing job.

    Certain Nitro-based instances include local storage, dependent on the instance type. Local storage volumes are encrypted using a hardware module on the instance. You can't request a VolumeKmsKeyId when using an instance type with local storage.

    For a list of instance types that support local instance storage, see Instance Store Volumes.

    For more information about local instance storage encryption, see SSD Instance Store Volumes.

  • instanceCount :: Natural

    The number of ML compute instances to use in the processing job. For distributed processing jobs, specify a value greater than 1. The default value is 1.

  • instanceType :: ProcessingInstanceType

    The ML compute instance type for the processing job.

  • volumeSizeInGB :: Natural

    The size of the ML storage volume in gigabytes that you want to provision. You must specify sufficient ML storage for your scenario.

    Certain Nitro-based instances include local storage with a fixed total size, dependent on the instance type. When using these instances for processing, Amazon SageMaker mounts the local instance storage instead of Amazon EBS gp2 storage. You can't request a VolumeSizeInGB greater than the total size of the local instance storage.

    For a list of instance types that support local instance storage, including the total size per instance type, see Instance Store Volumes.

Instances

Instances details
FromJSON ProcessingClusterConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingClusterConfig

Methods

parseJSON :: Value -> Parser ProcessingClusterConfig #

parseJSONList :: Value -> Parser [ProcessingClusterConfig] #

ToJSON ProcessingClusterConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingClusterConfig

Methods

toJSON :: ProcessingClusterConfig -> Value #

toEncoding :: ProcessingClusterConfig -> Encoding #

toJSONList :: [ProcessingClusterConfig] -> Value #

toEncodingList :: [ProcessingClusterConfig] -> Encoding #

Generic ProcessingClusterConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingClusterConfig

Associated Types

type Rep ProcessingClusterConfig :: Type -> Type #

Methods

from :: ProcessingClusterConfig -> Rep ProcessingClusterConfig x #

to :: Rep ProcessingClusterConfig x -> ProcessingClusterConfig #

Read ProcessingClusterConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingClusterConfig

Methods

readsPrec :: Int -> ReadS ProcessingClusterConfig #

readList :: ReadS [ProcessingClusterConfig] #

readPrec :: ReadPrec ProcessingClusterConfig #

readListPrec :: ReadPrec [ProcessingClusterConfig] #

Show ProcessingClusterConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingClusterConfig

Methods

showsPrec :: Int -> ProcessingClusterConfig -> ShowS #

show :: ProcessingClusterConfig -> String #

showList :: [ProcessingClusterConfig] -> ShowS #

NFData ProcessingClusterConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingClusterConfig

Methods

rnf :: ProcessingClusterConfig -> () #

Eq ProcessingClusterConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingClusterConfig

Methods

(==) :: ProcessingClusterConfig -> ProcessingClusterConfig -> Bool #

(/=) :: ProcessingClusterConfig -> ProcessingClusterConfig -> Bool #

Hashable ProcessingClusterConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingClusterConfig

Methods

hashWithSalt :: Int -> ProcessingClusterConfig -> Int #

hash :: ProcessingClusterConfig -> Int #

type Rep ProcessingClusterConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingClusterConfig

type Rep ProcessingClusterConfig = D1 ('MetaData "ProcessingClusterConfig" "Amazonka.SageMaker.Types.ProcessingClusterConfig" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "ProcessingClusterConfig'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "volumeKmsKeyId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "instanceCount") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Natural)) :*: (S1 ('MetaSel ('Just "instanceType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 ProcessingInstanceType) :*: S1 ('MetaSel ('Just "volumeSizeInGB") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Natural))))

newProcessingClusterConfig Source #

Arguments

:: Natural

$sel:instanceCount:ProcessingClusterConfig'

-> ProcessingInstanceType

$sel:instanceType:ProcessingClusterConfig'

-> Natural

$sel:volumeSizeInGB:ProcessingClusterConfig'

-> ProcessingClusterConfig 

Create a value of ProcessingClusterConfig with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:volumeKmsKeyId:ProcessingClusterConfig', processingClusterConfig_volumeKmsKeyId - The Amazon Web Services Key Management Service (Amazon Web Services KMS) key that Amazon SageMaker uses to encrypt data on the storage volume attached to the ML compute instance(s) that run the processing job.

Certain Nitro-based instances include local storage, dependent on the instance type. Local storage volumes are encrypted using a hardware module on the instance. You can't request a VolumeKmsKeyId when using an instance type with local storage.

For a list of instance types that support local instance storage, see Instance Store Volumes.

For more information about local instance storage encryption, see SSD Instance Store Volumes.

$sel:instanceCount:ProcessingClusterConfig', processingClusterConfig_instanceCount - The number of ML compute instances to use in the processing job. For distributed processing jobs, specify a value greater than 1. The default value is 1.

$sel:instanceType:ProcessingClusterConfig', processingClusterConfig_instanceType - The ML compute instance type for the processing job.

$sel:volumeSizeInGB:ProcessingClusterConfig', processingClusterConfig_volumeSizeInGB - The size of the ML storage volume in gigabytes that you want to provision. You must specify sufficient ML storage for your scenario.

Certain Nitro-based instances include local storage with a fixed total size, dependent on the instance type. When using these instances for processing, Amazon SageMaker mounts the local instance storage instead of Amazon EBS gp2 storage. You can't request a VolumeSizeInGB greater than the total size of the local instance storage.

For a list of instance types that support local instance storage, including the total size per instance type, see Instance Store Volumes.

processingClusterConfig_volumeKmsKeyId :: Lens' ProcessingClusterConfig (Maybe Text) Source #

The Amazon Web Services Key Management Service (Amazon Web Services KMS) key that Amazon SageMaker uses to encrypt data on the storage volume attached to the ML compute instance(s) that run the processing job.

Certain Nitro-based instances include local storage, dependent on the instance type. Local storage volumes are encrypted using a hardware module on the instance. You can't request a VolumeKmsKeyId when using an instance type with local storage.

For a list of instance types that support local instance storage, see Instance Store Volumes.

For more information about local instance storage encryption, see SSD Instance Store Volumes.

processingClusterConfig_instanceCount :: Lens' ProcessingClusterConfig Natural Source #

The number of ML compute instances to use in the processing job. For distributed processing jobs, specify a value greater than 1. The default value is 1.

processingClusterConfig_instanceType :: Lens' ProcessingClusterConfig ProcessingInstanceType Source #

The ML compute instance type for the processing job.

processingClusterConfig_volumeSizeInGB :: Lens' ProcessingClusterConfig Natural Source #

The size of the ML storage volume in gigabytes that you want to provision. You must specify sufficient ML storage for your scenario.

Certain Nitro-based instances include local storage with a fixed total size, dependent on the instance type. When using these instances for processing, Amazon SageMaker mounts the local instance storage instead of Amazon EBS gp2 storage. You can't request a VolumeSizeInGB greater than the total size of the local instance storage.

For a list of instance types that support local instance storage, including the total size per instance type, see Instance Store Volumes.

ProcessingFeatureStoreOutput

data ProcessingFeatureStoreOutput Source #

Configuration for processing job outputs in Amazon SageMaker Feature Store.

See: newProcessingFeatureStoreOutput smart constructor.

Constructors

ProcessingFeatureStoreOutput' 

Fields

  • featureGroupName :: Text

    The name of the Amazon SageMaker FeatureGroup to use as the destination for processing job output. Note that your processing script is responsible for putting records into your Feature Store.

Instances

Instances details
FromJSON ProcessingFeatureStoreOutput Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingFeatureStoreOutput

Methods

parseJSON :: Value -> Parser ProcessingFeatureStoreOutput #

parseJSONList :: Value -> Parser [ProcessingFeatureStoreOutput] #

ToJSON ProcessingFeatureStoreOutput Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingFeatureStoreOutput

Methods

toJSON :: ProcessingFeatureStoreOutput -> Value #

toEncoding :: ProcessingFeatureStoreOutput -> Encoding #

toJSONList :: [ProcessingFeatureStoreOutput] -> Value #

toEncodingList :: [ProcessingFeatureStoreOutput] -> Encoding #

Generic ProcessingFeatureStoreOutput Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingFeatureStoreOutput

Associated Types

type Rep ProcessingFeatureStoreOutput :: Type -> Type #

Methods

from :: ProcessingFeatureStoreOutput -> Rep ProcessingFeatureStoreOutput x #

to :: Rep ProcessingFeatureStoreOutput x -> ProcessingFeatureStoreOutput #

Read ProcessingFeatureStoreOutput Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingFeatureStoreOutput

Methods

readsPrec :: Int -> ReadS ProcessingFeatureStoreOutput #

readList :: ReadS [ProcessingFeatureStoreOutput] #

readPrec :: ReadPrec ProcessingFeatureStoreOutput #

readListPrec :: ReadPrec [ProcessingFeatureStoreOutput] #

Show ProcessingFeatureStoreOutput Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingFeatureStoreOutput

Methods

showsPrec :: Int -> ProcessingFeatureStoreOutput -> ShowS #

show :: ProcessingFeatureStoreOutput -> String #

showList :: [ProcessingFeatureStoreOutput] -> ShowS #

NFData ProcessingFeatureStoreOutput Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingFeatureStoreOutput

Methods

rnf :: ProcessingFeatureStoreOutput -> () #

Eq ProcessingFeatureStoreOutput Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingFeatureStoreOutput

Methods

(==) :: ProcessingFeatureStoreOutput -> ProcessingFeatureStoreOutput -> Bool #

(/=) :: ProcessingFeatureStoreOutput -> ProcessingFeatureStoreOutput -> Bool #

Hashable ProcessingFeatureStoreOutput Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingFeatureStoreOutput

Methods

hashWithSalt :: Int -> ProcessingFeatureStoreOutput -> Int #

hash :: ProcessingFeatureStoreOutput -> Int #

type Rep ProcessingFeatureStoreOutput Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingFeatureStoreOutput

type Rep ProcessingFeatureStoreOutput = D1 ('MetaData "ProcessingFeatureStoreOutput" "Amazonka.SageMaker.Types.ProcessingFeatureStoreOutput" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "ProcessingFeatureStoreOutput'" 'PrefixI 'True) (S1 ('MetaSel ('Just "featureGroupName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))

newProcessingFeatureStoreOutput Source #

Arguments

:: Text

$sel:featureGroupName:ProcessingFeatureStoreOutput'

-> ProcessingFeatureStoreOutput 

Create a value of ProcessingFeatureStoreOutput with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:featureGroupName:ProcessingFeatureStoreOutput', processingFeatureStoreOutput_featureGroupName - The name of the Amazon SageMaker FeatureGroup to use as the destination for processing job output. Note that your processing script is responsible for putting records into your Feature Store.

processingFeatureStoreOutput_featureGroupName :: Lens' ProcessingFeatureStoreOutput Text Source #

The name of the Amazon SageMaker FeatureGroup to use as the destination for processing job output. Note that your processing script is responsible for putting records into your Feature Store.

ProcessingInput

data ProcessingInput Source #

The inputs for a processing job. The processing input must specify exactly one of either S3Input or DatasetDefinition types.

See: newProcessingInput smart constructor.

Constructors

ProcessingInput' 

Fields

Instances

Instances details
FromJSON ProcessingInput Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingInput

Methods

parseJSON :: Value -> Parser ProcessingInput #

parseJSONList :: Value -> Parser [ProcessingInput] #

ToJSON ProcessingInput Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingInput

Methods

toJSON :: ProcessingInput -> Value #

toEncoding :: ProcessingInput -> Encoding #

toJSONList :: [ProcessingInput] -> Value #

toEncodingList :: [ProcessingInput] -> Encoding #

Generic ProcessingInput Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingInput

Associated Types

type Rep ProcessingInput :: Type -> Type #

Methods

from :: ProcessingInput -> Rep ProcessingInput x #

to :: Rep ProcessingInput x -> ProcessingInput #

Read ProcessingInput Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingInput

Methods

readsPrec :: Int -> ReadS ProcessingInput #

readList :: ReadS [ProcessingInput] #

readPrec :: ReadPrec ProcessingInput #

readListPrec :: ReadPrec [ProcessingInput] #

Show ProcessingInput Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingInput

Methods

showsPrec :: Int -> ProcessingInput -> ShowS #

show :: ProcessingInput -> String #

showList :: [ProcessingInput] -> ShowS #

NFData ProcessingInput Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingInput

Methods

rnf :: ProcessingInput -> () #

Eq ProcessingInput Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingInput

Methods

(==) :: ProcessingInput -> ProcessingInput -> Bool #

(/=) :: ProcessingInput -> ProcessingInput -> Bool #

Hashable ProcessingInput Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingInput

Methods

hashWithSalt :: Int -> ProcessingInput -> Int #

hash :: ProcessingInput -> Int #

type Rep ProcessingInput Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingInput

type Rep ProcessingInput = D1 ('MetaData "ProcessingInput" "Amazonka.SageMaker.Types.ProcessingInput" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "ProcessingInput'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "appManaged") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Bool)) :*: S1 ('MetaSel ('Just "datasetDefinition") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe DatasetDefinition))) :*: (S1 ('MetaSel ('Just "s3Input") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ProcessingS3Input)) :*: S1 ('MetaSel ('Just "inputName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text))))

newProcessingInput Source #

Arguments

:: Text

$sel:inputName:ProcessingInput'

-> ProcessingInput 

Create a value of ProcessingInput with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:appManaged:ProcessingInput', processingInput_appManaged - When True, input operations such as data download are managed natively by the processing job application. When False (default), input operations are managed by Amazon SageMaker.

$sel:datasetDefinition:ProcessingInput', processingInput_datasetDefinition - Configuration for a Dataset Definition input.

$sel:s3Input:ProcessingInput', processingInput_s3Input - Configuration for downloading input data from Amazon S3 into the processing container.

$sel:inputName:ProcessingInput', processingInput_inputName - The name for the processing job input.

processingInput_appManaged :: Lens' ProcessingInput (Maybe Bool) Source #

When True, input operations such as data download are managed natively by the processing job application. When False (default), input operations are managed by Amazon SageMaker.

processingInput_datasetDefinition :: Lens' ProcessingInput (Maybe DatasetDefinition) Source #

Configuration for a Dataset Definition input.

processingInput_s3Input :: Lens' ProcessingInput (Maybe ProcessingS3Input) Source #

Configuration for downloading input data from Amazon S3 into the processing container.

processingInput_inputName :: Lens' ProcessingInput Text Source #

The name for the processing job input.

ProcessingJob

data ProcessingJob Source #

An Amazon SageMaker processing job that is used to analyze data and evaluate models. For more information, see Process Data and Evaluate Models.

See: newProcessingJob smart constructor.

Constructors

ProcessingJob' 

Fields

Instances

Instances details
FromJSON ProcessingJob Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingJob

Methods

parseJSON :: Value -> Parser ProcessingJob #

parseJSONList :: Value -> Parser [ProcessingJob] #

Generic ProcessingJob Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingJob

Associated Types

type Rep ProcessingJob :: Type -> Type #

Methods

from :: ProcessingJob -> Rep ProcessingJob x #

to :: Rep ProcessingJob x -> ProcessingJob #

Read ProcessingJob Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingJob

Methods

readsPrec :: Int -> ReadS ProcessingJob #

readList :: ReadS [ProcessingJob] #

readPrec :: ReadPrec ProcessingJob #

readListPrec :: ReadPrec [ProcessingJob] #

Show ProcessingJob Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingJob

Methods

showsPrec :: Int -> ProcessingJob -> ShowS #

show :: ProcessingJob -> String #

showList :: [ProcessingJob] -> ShowS #

NFData ProcessingJob Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingJob

Methods

rnf :: ProcessingJob -> () #

Eq ProcessingJob Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingJob

Methods

(==) :: ProcessingJob -> ProcessingJob -> Bool #

(/=) :: ProcessingJob -> ProcessingJob -> Bool #

Hashable ProcessingJob Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingJob

Methods

hashWithSalt :: Int -> ProcessingJob -> Int #

hash :: ProcessingJob -> Int #

type Rep ProcessingJob Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingJob

type Rep ProcessingJob = D1 ('MetaData "ProcessingJob" "Amazonka.SageMaker.Types.ProcessingJob" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "ProcessingJob'" 'PrefixI 'True) ((((S1 ('MetaSel ('Just "appSpecification") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe AppSpecification)) :*: S1 ('MetaSel ('Just "autoMLJobArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))) :*: (S1 ('MetaSel ('Just "creationTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :*: (S1 ('MetaSel ('Just "environment") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe (HashMap Text Text))) :*: S1 ('MetaSel ('Just "exitMessage") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))) :*: ((S1 ('MetaSel ('Just "experimentConfig") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ExperimentConfig)) :*: (S1 ('MetaSel ('Just "failureReason") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "lastModifiedTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)))) :*: (S1 ('MetaSel ('Just "monitoringScheduleArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: (S1 ('MetaSel ('Just "networkConfig") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe NetworkConfig)) :*: S1 ('MetaSel ('Just "processingEndTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)))))) :*: (((S1 ('MetaSel ('Just "processingInputs") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [ProcessingInput])) :*: S1 ('MetaSel ('Just "processingJobArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))) :*: (S1 ('MetaSel ('Just "processingJobName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: (S1 ('MetaSel ('Just "processingJobStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ProcessingJobStatus)) :*: S1 ('MetaSel ('Just "processingOutputConfig") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ProcessingOutputConfig))))) :*: ((S1 ('MetaSel ('Just "processingResources") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ProcessingResources)) :*: (S1 ('MetaSel ('Just "processingStartTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :*: S1 ('MetaSel ('Just "roleArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))) :*: (S1 ('MetaSel ('Just "stoppingCondition") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ProcessingStoppingCondition)) :*: (S1 ('MetaSel ('Just "tags") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [Tag])) :*: S1 ('MetaSel ('Just "trainingJobArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))))))

newProcessingJob :: ProcessingJob Source #

Create a value of ProcessingJob with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:appSpecification:ProcessingJob', processingJob_appSpecification - Undocumented member.

$sel:autoMLJobArn:ProcessingJob', processingJob_autoMLJobArn - The Amazon Resource Name (ARN) of the AutoML job associated with this processing job.

$sel:creationTime:ProcessingJob', processingJob_creationTime - The time the processing job was created.

$sel:environment:ProcessingJob', processingJob_environment - Sets the environment variables in the Docker container.

$sel:exitMessage:ProcessingJob', processingJob_exitMessage - A string, up to one KB in size, that contains metadata from the processing container when the processing job exits.

$sel:experimentConfig:ProcessingJob', processingJob_experimentConfig - Undocumented member.

$sel:failureReason:ProcessingJob', processingJob_failureReason - A string, up to one KB in size, that contains the reason a processing job failed, if it failed.

$sel:lastModifiedTime:ProcessingJob', processingJob_lastModifiedTime - The time the processing job was last modified.

$sel:monitoringScheduleArn:ProcessingJob', processingJob_monitoringScheduleArn - The ARN of a monitoring schedule for an endpoint associated with this processing job.

$sel:networkConfig:ProcessingJob', processingJob_networkConfig - Undocumented member.

$sel:processingEndTime:ProcessingJob', processingJob_processingEndTime - The time that the processing job ended.

$sel:processingInputs:ProcessingJob', processingJob_processingInputs - List of input configurations for the processing job.

$sel:processingJobArn:ProcessingJob', processingJob_processingJobArn - The ARN of the processing job.

$sel:processingJobName:ProcessingJob', processingJob_processingJobName - The name of the processing job.

$sel:processingJobStatus:ProcessingJob', processingJob_processingJobStatus - The status of the processing job.

$sel:processingOutputConfig:ProcessingJob', processingJob_processingOutputConfig - Undocumented member.

$sel:processingResources:ProcessingJob', processingJob_processingResources - Undocumented member.

$sel:processingStartTime:ProcessingJob', processingJob_processingStartTime - The time that the processing job started.

$sel:roleArn:ProcessingJob', processingJob_roleArn - The ARN of the role used to create the processing job.

$sel:stoppingCondition:ProcessingJob', processingJob_stoppingCondition - Undocumented member.

$sel:tags:ProcessingJob', processingJob_tags - An array of key-value pairs. For more information, see Using Cost Allocation Tags in the Amazon Web Services Billing and Cost Management User Guide.

$sel:trainingJobArn:ProcessingJob', processingJob_trainingJobArn - The ARN of the training job associated with this processing job.

processingJob_appSpecification :: Lens' ProcessingJob (Maybe AppSpecification) Source #

Undocumented member.

processingJob_autoMLJobArn :: Lens' ProcessingJob (Maybe Text) Source #

The Amazon Resource Name (ARN) of the AutoML job associated with this processing job.

processingJob_creationTime :: Lens' ProcessingJob (Maybe UTCTime) Source #

The time the processing job was created.

processingJob_environment :: Lens' ProcessingJob (Maybe (HashMap Text Text)) Source #

Sets the environment variables in the Docker container.

processingJob_exitMessage :: Lens' ProcessingJob (Maybe Text) Source #

A string, up to one KB in size, that contains metadata from the processing container when the processing job exits.

processingJob_experimentConfig :: Lens' ProcessingJob (Maybe ExperimentConfig) Source #

Undocumented member.

processingJob_failureReason :: Lens' ProcessingJob (Maybe Text) Source #

A string, up to one KB in size, that contains the reason a processing job failed, if it failed.

processingJob_lastModifiedTime :: Lens' ProcessingJob (Maybe UTCTime) Source #

The time the processing job was last modified.

processingJob_monitoringScheduleArn :: Lens' ProcessingJob (Maybe Text) Source #

The ARN of a monitoring schedule for an endpoint associated with this processing job.

processingJob_networkConfig :: Lens' ProcessingJob (Maybe NetworkConfig) Source #

Undocumented member.

processingJob_processingEndTime :: Lens' ProcessingJob (Maybe UTCTime) Source #

The time that the processing job ended.

processingJob_processingInputs :: Lens' ProcessingJob (Maybe [ProcessingInput]) Source #

List of input configurations for the processing job.

processingJob_processingJobArn :: Lens' ProcessingJob (Maybe Text) Source #

The ARN of the processing job.

processingJob_processingJobName :: Lens' ProcessingJob (Maybe Text) Source #

The name of the processing job.

processingJob_processingJobStatus :: Lens' ProcessingJob (Maybe ProcessingJobStatus) Source #

The status of the processing job.

processingJob_processingOutputConfig :: Lens' ProcessingJob (Maybe ProcessingOutputConfig) Source #

Undocumented member.

processingJob_processingResources :: Lens' ProcessingJob (Maybe ProcessingResources) Source #

Undocumented member.

processingJob_processingStartTime :: Lens' ProcessingJob (Maybe UTCTime) Source #

The time that the processing job started.

processingJob_roleArn :: Lens' ProcessingJob (Maybe Text) Source #

The ARN of the role used to create the processing job.

processingJob_stoppingCondition :: Lens' ProcessingJob (Maybe ProcessingStoppingCondition) Source #

Undocumented member.

processingJob_tags :: Lens' ProcessingJob (Maybe [Tag]) Source #

An array of key-value pairs. For more information, see Using Cost Allocation Tags in the Amazon Web Services Billing and Cost Management User Guide.

processingJob_trainingJobArn :: Lens' ProcessingJob (Maybe Text) Source #

The ARN of the training job associated with this processing job.

ProcessingJobStepMetadata

data ProcessingJobStepMetadata Source #

Metadata for a processing job step.

See: newProcessingJobStepMetadata smart constructor.

Constructors

ProcessingJobStepMetadata' 

Fields

  • arn :: Maybe Text

    The Amazon Resource Name (ARN) of the processing job.

Instances

Instances details
FromJSON ProcessingJobStepMetadata Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingJobStepMetadata

Methods

parseJSON :: Value -> Parser ProcessingJobStepMetadata #

parseJSONList :: Value -> Parser [ProcessingJobStepMetadata] #

Generic ProcessingJobStepMetadata Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingJobStepMetadata

Associated Types

type Rep ProcessingJobStepMetadata :: Type -> Type #

Methods

from :: ProcessingJobStepMetadata -> Rep ProcessingJobStepMetadata x #

to :: Rep ProcessingJobStepMetadata x -> ProcessingJobStepMetadata #

Read ProcessingJobStepMetadata Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingJobStepMetadata

Methods

readsPrec :: Int -> ReadS ProcessingJobStepMetadata #

readList :: ReadS [ProcessingJobStepMetadata] #

readPrec :: ReadPrec ProcessingJobStepMetadata #

readListPrec :: ReadPrec [ProcessingJobStepMetadata] #

Show ProcessingJobStepMetadata Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingJobStepMetadata

Methods

showsPrec :: Int -> ProcessingJobStepMetadata -> ShowS #

show :: ProcessingJobStepMetadata -> String #

showList :: [ProcessingJobStepMetadata] -> ShowS #

NFData ProcessingJobStepMetadata Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingJobStepMetadata

Methods

rnf :: ProcessingJobStepMetadata -> () #

Eq ProcessingJobStepMetadata Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingJobStepMetadata

Methods

(==) :: ProcessingJobStepMetadata -> ProcessingJobStepMetadata -> Bool #

(/=) :: ProcessingJobStepMetadata -> ProcessingJobStepMetadata -> Bool #

Hashable ProcessingJobStepMetadata Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingJobStepMetadata

Methods

hashWithSalt :: Int -> ProcessingJobStepMetadata -> Int #

hash :: ProcessingJobStepMetadata -> Int #

type Rep ProcessingJobStepMetadata Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingJobStepMetadata

type Rep ProcessingJobStepMetadata = D1 ('MetaData "ProcessingJobStepMetadata" "Amazonka.SageMaker.Types.ProcessingJobStepMetadata" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "ProcessingJobStepMetadata'" 'PrefixI 'True) (S1 ('MetaSel ('Just "arn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))

newProcessingJobStepMetadata :: ProcessingJobStepMetadata Source #

Create a value of ProcessingJobStepMetadata with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:arn:ProcessingJobStepMetadata', processingJobStepMetadata_arn - The Amazon Resource Name (ARN) of the processing job.

processingJobStepMetadata_arn :: Lens' ProcessingJobStepMetadata (Maybe Text) Source #

The Amazon Resource Name (ARN) of the processing job.

ProcessingJobSummary

data ProcessingJobSummary Source #

Summary of information about a processing job.

See: newProcessingJobSummary smart constructor.

Constructors

ProcessingJobSummary' 

Fields

Instances

Instances details
FromJSON ProcessingJobSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingJobSummary

Methods

parseJSON :: Value -> Parser ProcessingJobSummary #

parseJSONList :: Value -> Parser [ProcessingJobSummary] #

Generic ProcessingJobSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingJobSummary

Associated Types

type Rep ProcessingJobSummary :: Type -> Type #

Methods

from :: ProcessingJobSummary -> Rep ProcessingJobSummary x #

to :: Rep ProcessingJobSummary x -> ProcessingJobSummary #

Read ProcessingJobSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingJobSummary

Methods

readsPrec :: Int -> ReadS ProcessingJobSummary #

readList :: ReadS [ProcessingJobSummary] #

readPrec :: ReadPrec ProcessingJobSummary #

readListPrec :: ReadPrec [ProcessingJobSummary] #

Show ProcessingJobSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingJobSummary

Methods

showsPrec :: Int -> ProcessingJobSummary -> ShowS #

show :: ProcessingJobSummary -> String #

showList :: [ProcessingJobSummary] -> ShowS #

NFData ProcessingJobSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingJobSummary

Methods

rnf :: ProcessingJobSummary -> () #

Eq ProcessingJobSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingJobSummary

Methods

(==) :: ProcessingJobSummary -> ProcessingJobSummary -> Bool #

(/=) :: ProcessingJobSummary -> ProcessingJobSummary -> Bool #

Hashable ProcessingJobSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingJobSummary

Methods

hashWithSalt :: Int -> ProcessingJobSummary -> Int #

hash :: ProcessingJobSummary -> Int #

type Rep ProcessingJobSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingJobSummary

type Rep ProcessingJobSummary = D1 ('MetaData "ProcessingJobSummary" "Amazonka.SageMaker.Types.ProcessingJobSummary" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "ProcessingJobSummary'" 'PrefixI 'True) (((S1 ('MetaSel ('Just "exitMessage") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "failureReason") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))) :*: (S1 ('MetaSel ('Just "lastModifiedTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :*: S1 ('MetaSel ('Just "processingEndTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)))) :*: ((S1 ('MetaSel ('Just "processingJobName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: S1 ('MetaSel ('Just "processingJobArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)) :*: (S1 ('MetaSel ('Just "creationTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 POSIX) :*: S1 ('MetaSel ('Just "processingJobStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 ProcessingJobStatus)))))

newProcessingJobSummary Source #

Arguments

:: Text

$sel:processingJobName:ProcessingJobSummary'

-> Text

$sel:processingJobArn:ProcessingJobSummary'

-> UTCTime

$sel:creationTime:ProcessingJobSummary'

-> ProcessingJobStatus

$sel:processingJobStatus:ProcessingJobSummary'

-> ProcessingJobSummary 

Create a value of ProcessingJobSummary with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:exitMessage:ProcessingJobSummary', processingJobSummary_exitMessage - An optional string, up to one KB in size, that contains metadata from the processing container when the processing job exits.

$sel:failureReason:ProcessingJobSummary', processingJobSummary_failureReason - A string, up to one KB in size, that contains the reason a processing job failed, if it failed.

$sel:lastModifiedTime:ProcessingJobSummary', processingJobSummary_lastModifiedTime - A timestamp that indicates the last time the processing job was modified.

$sel:processingEndTime:ProcessingJobSummary', processingJobSummary_processingEndTime - The time at which the processing job completed.

$sel:processingJobName:ProcessingJobSummary', processingJobSummary_processingJobName - The name of the processing job.

$sel:processingJobArn:ProcessingJobSummary', processingJobSummary_processingJobArn - The Amazon Resource Name (ARN) of the processing job..

$sel:creationTime:ProcessingJobSummary', processingJobSummary_creationTime - The time at which the processing job was created.

$sel:processingJobStatus:ProcessingJobSummary', processingJobSummary_processingJobStatus - The status of the processing job.

processingJobSummary_exitMessage :: Lens' ProcessingJobSummary (Maybe Text) Source #

An optional string, up to one KB in size, that contains metadata from the processing container when the processing job exits.

processingJobSummary_failureReason :: Lens' ProcessingJobSummary (Maybe Text) Source #

A string, up to one KB in size, that contains the reason a processing job failed, if it failed.

processingJobSummary_lastModifiedTime :: Lens' ProcessingJobSummary (Maybe UTCTime) Source #

A timestamp that indicates the last time the processing job was modified.

processingJobSummary_processingEndTime :: Lens' ProcessingJobSummary (Maybe UTCTime) Source #

The time at which the processing job completed.

processingJobSummary_processingJobName :: Lens' ProcessingJobSummary Text Source #

The name of the processing job.

processingJobSummary_processingJobArn :: Lens' ProcessingJobSummary Text Source #

The Amazon Resource Name (ARN) of the processing job..

processingJobSummary_creationTime :: Lens' ProcessingJobSummary UTCTime Source #

The time at which the processing job was created.

processingJobSummary_processingJobStatus :: Lens' ProcessingJobSummary ProcessingJobStatus Source #

The status of the processing job.

ProcessingOutput

data ProcessingOutput Source #

Describes the results of a processing job. The processing output must specify exactly one of either S3Output or FeatureStoreOutput types.

See: newProcessingOutput smart constructor.

Constructors

ProcessingOutput' 

Fields

Instances

Instances details
FromJSON ProcessingOutput Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingOutput

Methods

parseJSON :: Value -> Parser ProcessingOutput #

parseJSONList :: Value -> Parser [ProcessingOutput] #

ToJSON ProcessingOutput Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingOutput

Methods

toJSON :: ProcessingOutput -> Value #

toEncoding :: ProcessingOutput -> Encoding #

toJSONList :: [ProcessingOutput] -> Value #

toEncodingList :: [ProcessingOutput] -> Encoding #

Generic ProcessingOutput Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingOutput

Associated Types

type Rep ProcessingOutput :: Type -> Type #

Methods

from :: ProcessingOutput -> Rep ProcessingOutput x #

to :: Rep ProcessingOutput x -> ProcessingOutput #

Read ProcessingOutput Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingOutput

Methods

readsPrec :: Int -> ReadS ProcessingOutput #

readList :: ReadS [ProcessingOutput] #

readPrec :: ReadPrec ProcessingOutput #

readListPrec :: ReadPrec [ProcessingOutput] #

Show ProcessingOutput Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingOutput

Methods

showsPrec :: Int -> ProcessingOutput -> ShowS #

show :: ProcessingOutput -> String #

showList :: [ProcessingOutput] -> ShowS #

NFData ProcessingOutput Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingOutput

Methods

rnf :: ProcessingOutput -> () #

Eq ProcessingOutput Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingOutput

Methods

(==) :: ProcessingOutput -> ProcessingOutput -> Bool #

(/=) :: ProcessingOutput -> ProcessingOutput -> Bool #

Hashable ProcessingOutput Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingOutput

Methods

hashWithSalt :: Int -> ProcessingOutput -> Int #

hash :: ProcessingOutput -> Int #

type Rep ProcessingOutput Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingOutput

type Rep ProcessingOutput = D1 ('MetaData "ProcessingOutput" "Amazonka.SageMaker.Types.ProcessingOutput" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "ProcessingOutput'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "appManaged") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Bool)) :*: S1 ('MetaSel ('Just "featureStoreOutput") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ProcessingFeatureStoreOutput))) :*: (S1 ('MetaSel ('Just "s3Output") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ProcessingS3Output)) :*: S1 ('MetaSel ('Just "outputName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text))))

newProcessingOutput Source #

Arguments

:: Text

$sel:outputName:ProcessingOutput'

-> ProcessingOutput 

Create a value of ProcessingOutput with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:appManaged:ProcessingOutput', processingOutput_appManaged - When True, output operations such as data upload are managed natively by the processing job application. When False (default), output operations are managed by Amazon SageMaker.

$sel:featureStoreOutput:ProcessingOutput', processingOutput_featureStoreOutput - Configuration for processing job outputs in Amazon SageMaker Feature Store. This processing output type is only supported when AppManaged is specified.

$sel:s3Output:ProcessingOutput', processingOutput_s3Output - Configuration for processing job outputs in Amazon S3.

$sel:outputName:ProcessingOutput', processingOutput_outputName - The name for the processing job output.

processingOutput_appManaged :: Lens' ProcessingOutput (Maybe Bool) Source #

When True, output operations such as data upload are managed natively by the processing job application. When False (default), output operations are managed by Amazon SageMaker.

processingOutput_featureStoreOutput :: Lens' ProcessingOutput (Maybe ProcessingFeatureStoreOutput) Source #

Configuration for processing job outputs in Amazon SageMaker Feature Store. This processing output type is only supported when AppManaged is specified.

processingOutput_s3Output :: Lens' ProcessingOutput (Maybe ProcessingS3Output) Source #

Configuration for processing job outputs in Amazon S3.

processingOutput_outputName :: Lens' ProcessingOutput Text Source #

The name for the processing job output.

ProcessingOutputConfig

data ProcessingOutputConfig Source #

Configuration for uploading output from the processing container.

See: newProcessingOutputConfig smart constructor.

Constructors

ProcessingOutputConfig' 

Fields

  • kmsKeyId :: Maybe Text

    The Amazon Web Services Key Management Service (Amazon Web Services KMS) key that Amazon SageMaker uses to encrypt the processing job output. KmsKeyId can be an ID of a KMS key, ARN of a KMS key, alias of a KMS key, or alias of a KMS key. The KmsKeyId is applied to all outputs.

  • outputs :: [ProcessingOutput]

    An array of outputs configuring the data to upload from the processing container.

Instances

Instances details
FromJSON ProcessingOutputConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingOutputConfig

Methods

parseJSON :: Value -> Parser ProcessingOutputConfig #

parseJSONList :: Value -> Parser [ProcessingOutputConfig] #

ToJSON ProcessingOutputConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingOutputConfig

Methods

toJSON :: ProcessingOutputConfig -> Value #

toEncoding :: ProcessingOutputConfig -> Encoding #

toJSONList :: [ProcessingOutputConfig] -> Value #

toEncodingList :: [ProcessingOutputConfig] -> Encoding #

Generic ProcessingOutputConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingOutputConfig

Associated Types

type Rep ProcessingOutputConfig :: Type -> Type #

Methods

from :: ProcessingOutputConfig -> Rep ProcessingOutputConfig x #

to :: Rep ProcessingOutputConfig x -> ProcessingOutputConfig #

Read ProcessingOutputConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingOutputConfig

Methods

readsPrec :: Int -> ReadS ProcessingOutputConfig #

readList :: ReadS [ProcessingOutputConfig] #

readPrec :: ReadPrec ProcessingOutputConfig #

readListPrec :: ReadPrec [ProcessingOutputConfig] #

Show ProcessingOutputConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingOutputConfig

Methods

showsPrec :: Int -> ProcessingOutputConfig -> ShowS #

show :: ProcessingOutputConfig -> String #

showList :: [ProcessingOutputConfig] -> ShowS #

NFData ProcessingOutputConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingOutputConfig

Methods

rnf :: ProcessingOutputConfig -> () #

Eq ProcessingOutputConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingOutputConfig

Methods

(==) :: ProcessingOutputConfig -> ProcessingOutputConfig -> Bool #

(/=) :: ProcessingOutputConfig -> ProcessingOutputConfig -> Bool #

Hashable ProcessingOutputConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingOutputConfig

Methods

hashWithSalt :: Int -> ProcessingOutputConfig -> Int #

hash :: ProcessingOutputConfig -> Int #

type Rep ProcessingOutputConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingOutputConfig

type Rep ProcessingOutputConfig = D1 ('MetaData "ProcessingOutputConfig" "Amazonka.SageMaker.Types.ProcessingOutputConfig" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "ProcessingOutputConfig'" 'PrefixI 'True) (S1 ('MetaSel ('Just "kmsKeyId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "outputs") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 [ProcessingOutput])))

newProcessingOutputConfig :: ProcessingOutputConfig Source #

Create a value of ProcessingOutputConfig with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:kmsKeyId:ProcessingOutputConfig', processingOutputConfig_kmsKeyId - The Amazon Web Services Key Management Service (Amazon Web Services KMS) key that Amazon SageMaker uses to encrypt the processing job output. KmsKeyId can be an ID of a KMS key, ARN of a KMS key, alias of a KMS key, or alias of a KMS key. The KmsKeyId is applied to all outputs.

$sel:outputs:ProcessingOutputConfig', processingOutputConfig_outputs - An array of outputs configuring the data to upload from the processing container.

processingOutputConfig_kmsKeyId :: Lens' ProcessingOutputConfig (Maybe Text) Source #

The Amazon Web Services Key Management Service (Amazon Web Services KMS) key that Amazon SageMaker uses to encrypt the processing job output. KmsKeyId can be an ID of a KMS key, ARN of a KMS key, alias of a KMS key, or alias of a KMS key. The KmsKeyId is applied to all outputs.

processingOutputConfig_outputs :: Lens' ProcessingOutputConfig [ProcessingOutput] Source #

An array of outputs configuring the data to upload from the processing container.

ProcessingResources

data ProcessingResources Source #

Identifies the resources, ML compute instances, and ML storage volumes to deploy for a processing job. In distributed training, you specify more than one instance.

See: newProcessingResources smart constructor.

Constructors

ProcessingResources' 

Fields

Instances

Instances details
FromJSON ProcessingResources Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingResources

Methods

parseJSON :: Value -> Parser ProcessingResources #

parseJSONList :: Value -> Parser [ProcessingResources] #

ToJSON ProcessingResources Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingResources

Methods

toJSON :: ProcessingResources -> Value #

toEncoding :: ProcessingResources -> Encoding #

toJSONList :: [ProcessingResources] -> Value #

toEncodingList :: [ProcessingResources] -> Encoding #

Generic ProcessingResources Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingResources

Associated Types

type Rep ProcessingResources :: Type -> Type #

Methods

from :: ProcessingResources -> Rep ProcessingResources x #

to :: Rep ProcessingResources x -> ProcessingResources #

Read ProcessingResources Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingResources

Methods

readsPrec :: Int -> ReadS ProcessingResources #

readList :: ReadS [ProcessingResources] #

readPrec :: ReadPrec ProcessingResources #

readListPrec :: ReadPrec [ProcessingResources] #

Show ProcessingResources Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingResources

Methods

showsPrec :: Int -> ProcessingResources -> ShowS #

show :: ProcessingResources -> String #

showList :: [ProcessingResources] -> ShowS #

NFData ProcessingResources Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingResources

Methods

rnf :: ProcessingResources -> () #

Eq ProcessingResources Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingResources

Methods

(==) :: ProcessingResources -> ProcessingResources -> Bool #

(/=) :: ProcessingResources -> ProcessingResources -> Bool #

Hashable ProcessingResources Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingResources

Methods

hashWithSalt :: Int -> ProcessingResources -> Int #

hash :: ProcessingResources -> Int #

type Rep ProcessingResources Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingResources

type Rep ProcessingResources = D1 ('MetaData "ProcessingResources" "Amazonka.SageMaker.Types.ProcessingResources" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "ProcessingResources'" 'PrefixI 'True) (S1 ('MetaSel ('Just "clusterConfig") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 ProcessingClusterConfig)))

newProcessingResources Source #

Arguments

:: ProcessingClusterConfig

$sel:clusterConfig:ProcessingResources'

-> ProcessingResources 

Create a value of ProcessingResources with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:clusterConfig:ProcessingResources', processingResources_clusterConfig - The configuration for the resources in a cluster used to run the processing job.

processingResources_clusterConfig :: Lens' ProcessingResources ProcessingClusterConfig Source #

The configuration for the resources in a cluster used to run the processing job.

ProcessingS3Input

data ProcessingS3Input Source #

Configuration for downloading input data from Amazon S3 into the processing container.

See: newProcessingS3Input smart constructor.

Constructors

ProcessingS3Input' 

Fields

  • localPath :: Maybe Text

    The local path in your container where you want Amazon SageMaker to write input data to. LocalPath is an absolute path to the input data and must begin with /opt/ml/processing/. LocalPath is a required parameter when AppManaged is False (default).

  • s3CompressionType :: Maybe ProcessingS3CompressionType

    Whether to GZIP-decompress the data in Amazon S3 as it is streamed into the processing container. Gzip can only be used when Pipe mode is specified as the S3InputMode. In Pipe mode, Amazon SageMaker streams input data from the source directly to your container without using the EBS volume.

  • s3DataDistributionType :: Maybe ProcessingS3DataDistributionType

    Whether to distribute the data from Amazon S3 to all processing instances with FullyReplicated, or whether the data from Amazon S3 is shared by Amazon S3 key, downloading one shard of data to each processing instance.

  • s3InputMode :: Maybe ProcessingS3InputMode

    Whether to use File or Pipe input mode. In File mode, Amazon SageMaker copies the data from the input source onto the local ML storage volume before starting your processing container. This is the most commonly used input mode. In Pipe mode, Amazon SageMaker streams input data from the source directly to your processing container into named pipes without using the ML storage volume.

  • s3Uri :: Text

    The URI of the Amazon S3 prefix Amazon SageMaker downloads data required to run a processing job.

  • s3DataType :: ProcessingS3DataType

    Whether you use an S3Prefix or a ManifestFile for the data type. If you choose S3Prefix, S3Uri identifies a key name prefix. Amazon SageMaker uses all objects with the specified key name prefix for the processing job. If you choose ManifestFile, S3Uri identifies an object that is a manifest file containing a list of object keys that you want Amazon SageMaker to use for the processing job.

Instances

Instances details
FromJSON ProcessingS3Input Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingS3Input

Methods

parseJSON :: Value -> Parser ProcessingS3Input #

parseJSONList :: Value -> Parser [ProcessingS3Input] #

ToJSON ProcessingS3Input Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingS3Input

Methods

toJSON :: ProcessingS3Input -> Value #

toEncoding :: ProcessingS3Input -> Encoding #

toJSONList :: [ProcessingS3Input] -> Value #

toEncodingList :: [ProcessingS3Input] -> Encoding #

Generic ProcessingS3Input Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingS3Input

Associated Types

type Rep ProcessingS3Input :: Type -> Type #

Methods

from :: ProcessingS3Input -> Rep ProcessingS3Input x #

to :: Rep ProcessingS3Input x -> ProcessingS3Input #

Read ProcessingS3Input Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingS3Input

Methods

readsPrec :: Int -> ReadS ProcessingS3Input #

readList :: ReadS [ProcessingS3Input] #

readPrec :: ReadPrec ProcessingS3Input #

readListPrec :: ReadPrec [ProcessingS3Input] #

Show ProcessingS3Input Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingS3Input

Methods

showsPrec :: Int -> ProcessingS3Input -> ShowS #

show :: ProcessingS3Input -> String #

showList :: [ProcessingS3Input] -> ShowS #

NFData ProcessingS3Input Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingS3Input

Methods

rnf :: ProcessingS3Input -> () #

Eq ProcessingS3Input Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingS3Input

Methods

(==) :: ProcessingS3Input -> ProcessingS3Input -> Bool #

(/=) :: ProcessingS3Input -> ProcessingS3Input -> Bool #

Hashable ProcessingS3Input Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingS3Input

Methods

hashWithSalt :: Int -> ProcessingS3Input -> Int #

hash :: ProcessingS3Input -> Int #

type Rep ProcessingS3Input Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingS3Input

type Rep ProcessingS3Input = D1 ('MetaData "ProcessingS3Input" "Amazonka.SageMaker.Types.ProcessingS3Input" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "ProcessingS3Input'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "localPath") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: (S1 ('MetaSel ('Just "s3CompressionType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ProcessingS3CompressionType)) :*: S1 ('MetaSel ('Just "s3DataDistributionType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ProcessingS3DataDistributionType)))) :*: (S1 ('MetaSel ('Just "s3InputMode") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ProcessingS3InputMode)) :*: (S1 ('MetaSel ('Just "s3Uri") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: S1 ('MetaSel ('Just "s3DataType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 ProcessingS3DataType)))))

newProcessingS3Input Source #

Arguments

:: Text

$sel:s3Uri:ProcessingS3Input'

-> ProcessingS3DataType

$sel:s3DataType:ProcessingS3Input'

-> ProcessingS3Input 

Create a value of ProcessingS3Input with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:localPath:ProcessingS3Input', processingS3Input_localPath - The local path in your container where you want Amazon SageMaker to write input data to. LocalPath is an absolute path to the input data and must begin with /opt/ml/processing/. LocalPath is a required parameter when AppManaged is False (default).

$sel:s3CompressionType:ProcessingS3Input', processingS3Input_s3CompressionType - Whether to GZIP-decompress the data in Amazon S3 as it is streamed into the processing container. Gzip can only be used when Pipe mode is specified as the S3InputMode. In Pipe mode, Amazon SageMaker streams input data from the source directly to your container without using the EBS volume.

$sel:s3DataDistributionType:ProcessingS3Input', processingS3Input_s3DataDistributionType - Whether to distribute the data from Amazon S3 to all processing instances with FullyReplicated, or whether the data from Amazon S3 is shared by Amazon S3 key, downloading one shard of data to each processing instance.

$sel:s3InputMode:ProcessingS3Input', processingS3Input_s3InputMode - Whether to use File or Pipe input mode. In File mode, Amazon SageMaker copies the data from the input source onto the local ML storage volume before starting your processing container. This is the most commonly used input mode. In Pipe mode, Amazon SageMaker streams input data from the source directly to your processing container into named pipes without using the ML storage volume.

$sel:s3Uri:ProcessingS3Input', processingS3Input_s3Uri - The URI of the Amazon S3 prefix Amazon SageMaker downloads data required to run a processing job.

$sel:s3DataType:ProcessingS3Input', processingS3Input_s3DataType - Whether you use an S3Prefix or a ManifestFile for the data type. If you choose S3Prefix, S3Uri identifies a key name prefix. Amazon SageMaker uses all objects with the specified key name prefix for the processing job. If you choose ManifestFile, S3Uri identifies an object that is a manifest file containing a list of object keys that you want Amazon SageMaker to use for the processing job.

processingS3Input_localPath :: Lens' ProcessingS3Input (Maybe Text) Source #

The local path in your container where you want Amazon SageMaker to write input data to. LocalPath is an absolute path to the input data and must begin with /opt/ml/processing/. LocalPath is a required parameter when AppManaged is False (default).

processingS3Input_s3CompressionType :: Lens' ProcessingS3Input (Maybe ProcessingS3CompressionType) Source #

Whether to GZIP-decompress the data in Amazon S3 as it is streamed into the processing container. Gzip can only be used when Pipe mode is specified as the S3InputMode. In Pipe mode, Amazon SageMaker streams input data from the source directly to your container without using the EBS volume.

processingS3Input_s3DataDistributionType :: Lens' ProcessingS3Input (Maybe ProcessingS3DataDistributionType) Source #

Whether to distribute the data from Amazon S3 to all processing instances with FullyReplicated, or whether the data from Amazon S3 is shared by Amazon S3 key, downloading one shard of data to each processing instance.

processingS3Input_s3InputMode :: Lens' ProcessingS3Input (Maybe ProcessingS3InputMode) Source #

Whether to use File or Pipe input mode. In File mode, Amazon SageMaker copies the data from the input source onto the local ML storage volume before starting your processing container. This is the most commonly used input mode. In Pipe mode, Amazon SageMaker streams input data from the source directly to your processing container into named pipes without using the ML storage volume.

processingS3Input_s3Uri :: Lens' ProcessingS3Input Text Source #

The URI of the Amazon S3 prefix Amazon SageMaker downloads data required to run a processing job.

processingS3Input_s3DataType :: Lens' ProcessingS3Input ProcessingS3DataType Source #

Whether you use an S3Prefix or a ManifestFile for the data type. If you choose S3Prefix, S3Uri identifies a key name prefix. Amazon SageMaker uses all objects with the specified key name prefix for the processing job. If you choose ManifestFile, S3Uri identifies an object that is a manifest file containing a list of object keys that you want Amazon SageMaker to use for the processing job.

ProcessingS3Output

data ProcessingS3Output Source #

Configuration for uploading output data to Amazon S3 from the processing container.

See: newProcessingS3Output smart constructor.

Constructors

ProcessingS3Output' 

Fields

  • s3Uri :: Text

    A URI that identifies the Amazon S3 bucket where you want Amazon SageMaker to save the results of a processing job.

  • localPath :: Text

    The local path of a directory where you want Amazon SageMaker to upload its contents to Amazon S3. LocalPath is an absolute path to a directory containing output files. This directory will be created by the platform and exist when your container's entrypoint is invoked.

  • s3UploadMode :: ProcessingS3UploadMode

    Whether to upload the results of the processing job continuously or after the job completes.

Instances

Instances details
FromJSON ProcessingS3Output Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingS3Output

Methods

parseJSON :: Value -> Parser ProcessingS3Output #

parseJSONList :: Value -> Parser [ProcessingS3Output] #

ToJSON ProcessingS3Output Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingS3Output

Methods

toJSON :: ProcessingS3Output -> Value #

toEncoding :: ProcessingS3Output -> Encoding #

toJSONList :: [ProcessingS3Output] -> Value #

toEncodingList :: [ProcessingS3Output] -> Encoding #

Generic ProcessingS3Output Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingS3Output

Associated Types

type Rep ProcessingS3Output :: Type -> Type #

Methods

from :: ProcessingS3Output -> Rep ProcessingS3Output x #

to :: Rep ProcessingS3Output x -> ProcessingS3Output #

Read ProcessingS3Output Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingS3Output

Methods

readsPrec :: Int -> ReadS ProcessingS3Output #

readList :: ReadS [ProcessingS3Output] #

readPrec :: ReadPrec ProcessingS3Output #

readListPrec :: ReadPrec [ProcessingS3Output] #

Show ProcessingS3Output Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingS3Output

Methods

showsPrec :: Int -> ProcessingS3Output -> ShowS #

show :: ProcessingS3Output -> String #

showList :: [ProcessingS3Output] -> ShowS #

NFData ProcessingS3Output Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingS3Output

Methods

rnf :: ProcessingS3Output -> () #

Eq ProcessingS3Output Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingS3Output

Methods

(==) :: ProcessingS3Output -> ProcessingS3Output -> Bool #

(/=) :: ProcessingS3Output -> ProcessingS3Output -> Bool #

Hashable ProcessingS3Output Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingS3Output

Methods

hashWithSalt :: Int -> ProcessingS3Output -> Int #

hash :: ProcessingS3Output -> Int #

type Rep ProcessingS3Output Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingS3Output

type Rep ProcessingS3Output = D1 ('MetaData "ProcessingS3Output" "Amazonka.SageMaker.Types.ProcessingS3Output" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "ProcessingS3Output'" 'PrefixI 'True) (S1 ('MetaSel ('Just "s3Uri") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: (S1 ('MetaSel ('Just "localPath") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: S1 ('MetaSel ('Just "s3UploadMode") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 ProcessingS3UploadMode))))

newProcessingS3Output Source #

Arguments

:: Text

$sel:s3Uri:ProcessingS3Output'

-> Text

$sel:localPath:ProcessingS3Output'

-> ProcessingS3UploadMode

$sel:s3UploadMode:ProcessingS3Output'

-> ProcessingS3Output 

Create a value of ProcessingS3Output with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:s3Uri:ProcessingS3Output', processingS3Output_s3Uri - A URI that identifies the Amazon S3 bucket where you want Amazon SageMaker to save the results of a processing job.

$sel:localPath:ProcessingS3Output', processingS3Output_localPath - The local path of a directory where you want Amazon SageMaker to upload its contents to Amazon S3. LocalPath is an absolute path to a directory containing output files. This directory will be created by the platform and exist when your container's entrypoint is invoked.

$sel:s3UploadMode:ProcessingS3Output', processingS3Output_s3UploadMode - Whether to upload the results of the processing job continuously or after the job completes.

processingS3Output_s3Uri :: Lens' ProcessingS3Output Text Source #

A URI that identifies the Amazon S3 bucket where you want Amazon SageMaker to save the results of a processing job.

processingS3Output_localPath :: Lens' ProcessingS3Output Text Source #

The local path of a directory where you want Amazon SageMaker to upload its contents to Amazon S3. LocalPath is an absolute path to a directory containing output files. This directory will be created by the platform and exist when your container's entrypoint is invoked.

processingS3Output_s3UploadMode :: Lens' ProcessingS3Output ProcessingS3UploadMode Source #

Whether to upload the results of the processing job continuously or after the job completes.

ProcessingStoppingCondition

data ProcessingStoppingCondition Source #

Configures conditions under which the processing job should be stopped, such as how long the processing job has been running. After the condition is met, the processing job is stopped.

See: newProcessingStoppingCondition smart constructor.

Constructors

ProcessingStoppingCondition' 

Fields

Instances

Instances details
FromJSON ProcessingStoppingCondition Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingStoppingCondition

Methods

parseJSON :: Value -> Parser ProcessingStoppingCondition #

parseJSONList :: Value -> Parser [ProcessingStoppingCondition] #

ToJSON ProcessingStoppingCondition Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingStoppingCondition

Methods

toJSON :: ProcessingStoppingCondition -> Value #

toEncoding :: ProcessingStoppingCondition -> Encoding #

toJSONList :: [ProcessingStoppingCondition] -> Value #

toEncodingList :: [ProcessingStoppingCondition] -> Encoding #

Generic ProcessingStoppingCondition Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingStoppingCondition

Associated Types

type Rep ProcessingStoppingCondition :: Type -> Type #

Methods

from :: ProcessingStoppingCondition -> Rep ProcessingStoppingCondition x #

to :: Rep ProcessingStoppingCondition x -> ProcessingStoppingCondition #

Read ProcessingStoppingCondition Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingStoppingCondition

Methods

readsPrec :: Int -> ReadS ProcessingStoppingCondition #

readList :: ReadS [ProcessingStoppingCondition] #

readPrec :: ReadPrec ProcessingStoppingCondition #

readListPrec :: ReadPrec [ProcessingStoppingCondition] #

Show ProcessingStoppingCondition Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingStoppingCondition

Methods

showsPrec :: Int -> ProcessingStoppingCondition -> ShowS #

show :: ProcessingStoppingCondition -> String #

showList :: [ProcessingStoppingCondition] -> ShowS #

NFData ProcessingStoppingCondition Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingStoppingCondition

Methods

rnf :: ProcessingStoppingCondition -> () #

Eq ProcessingStoppingCondition Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingStoppingCondition

Methods

(==) :: ProcessingStoppingCondition -> ProcessingStoppingCondition -> Bool #

(/=) :: ProcessingStoppingCondition -> ProcessingStoppingCondition -> Bool #

Hashable ProcessingStoppingCondition Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingStoppingCondition

Methods

hashWithSalt :: Int -> ProcessingStoppingCondition -> Int #

hash :: ProcessingStoppingCondition -> Int #

type Rep ProcessingStoppingCondition Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProcessingStoppingCondition

type Rep ProcessingStoppingCondition = D1 ('MetaData "ProcessingStoppingCondition" "Amazonka.SageMaker.Types.ProcessingStoppingCondition" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "ProcessingStoppingCondition'" 'PrefixI 'True) (S1 ('MetaSel ('Just "maxRuntimeInSeconds") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Natural)))

newProcessingStoppingCondition Source #

Arguments

:: Natural

$sel:maxRuntimeInSeconds:ProcessingStoppingCondition'

-> ProcessingStoppingCondition 

Create a value of ProcessingStoppingCondition with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:maxRuntimeInSeconds:ProcessingStoppingCondition', processingStoppingCondition_maxRuntimeInSeconds - Specifies the maximum runtime in seconds.

processingStoppingCondition_maxRuntimeInSeconds :: Lens' ProcessingStoppingCondition Natural Source #

Specifies the maximum runtime in seconds.

ProductionVariant

data ProductionVariant Source #

Identifies a model that you want to host and the resources chosen to deploy for hosting it. If you are deploying multiple models, tell SageMaker how to distribute traffic among the models by specifying variant weights.

See: newProductionVariant smart constructor.

Constructors

ProductionVariant' 

Fields

Instances

Instances details
FromJSON ProductionVariant Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProductionVariant

Methods

parseJSON :: Value -> Parser ProductionVariant #

parseJSONList :: Value -> Parser [ProductionVariant] #

ToJSON ProductionVariant Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProductionVariant

Methods

toJSON :: ProductionVariant -> Value #

toEncoding :: ProductionVariant -> Encoding #

toJSONList :: [ProductionVariant] -> Value #

toEncodingList :: [ProductionVariant] -> Encoding #

Generic ProductionVariant Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProductionVariant

Associated Types

type Rep ProductionVariant :: Type -> Type #

Methods

from :: ProductionVariant -> Rep ProductionVariant x #

to :: Rep ProductionVariant x -> ProductionVariant #

Read ProductionVariant Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProductionVariant

Methods

readsPrec :: Int -> ReadS ProductionVariant #

readList :: ReadS [ProductionVariant] #

readPrec :: ReadPrec ProductionVariant #

readListPrec :: ReadPrec [ProductionVariant] #

Show ProductionVariant Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProductionVariant

Methods

showsPrec :: Int -> ProductionVariant -> ShowS #

show :: ProductionVariant -> String #

showList :: [ProductionVariant] -> ShowS #

NFData ProductionVariant Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProductionVariant

Methods

rnf :: ProductionVariant -> () #

Eq ProductionVariant Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProductionVariant

Methods

(==) :: ProductionVariant -> ProductionVariant -> Bool #

(/=) :: ProductionVariant -> ProductionVariant -> Bool #

Hashable ProductionVariant Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProductionVariant

Methods

hashWithSalt :: Int -> ProductionVariant -> Int #

hash :: ProductionVariant -> Int #

type Rep ProductionVariant Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProductionVariant

type Rep ProductionVariant = D1 ('MetaData "ProductionVariant" "Amazonka.SageMaker.Types.ProductionVariant" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "ProductionVariant'" 'PrefixI 'True) (((S1 ('MetaSel ('Just "acceleratorType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ProductionVariantAcceleratorType)) :*: S1 ('MetaSel ('Just "containerStartupHealthCheckTimeoutInSeconds") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural))) :*: (S1 ('MetaSel ('Just "coreDumpConfig") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ProductionVariantCoreDumpConfig)) :*: (S1 ('MetaSel ('Just "initialInstanceCount") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural)) :*: S1 ('MetaSel ('Just "initialVariantWeight") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double))))) :*: ((S1 ('MetaSel ('Just "instanceType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ProductionVariantInstanceType)) :*: (S1 ('MetaSel ('Just "modelDataDownloadTimeoutInSeconds") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural)) :*: S1 ('MetaSel ('Just "serverlessConfig") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ProductionVariantServerlessConfig)))) :*: (S1 ('MetaSel ('Just "volumeSizeInGB") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural)) :*: (S1 ('MetaSel ('Just "variantName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: S1 ('MetaSel ('Just "modelName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text))))))

newProductionVariant Source #

Arguments

:: Text

$sel:variantName:ProductionVariant'

-> Text

$sel:modelName:ProductionVariant'

-> ProductionVariant 

Create a value of ProductionVariant with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:acceleratorType:ProductionVariant', productionVariant_acceleratorType - The size of the Elastic Inference (EI) instance to use for the production variant. EI instances provide on-demand GPU computing for inference. For more information, see Using Elastic Inference in Amazon SageMaker.

$sel:containerStartupHealthCheckTimeoutInSeconds:ProductionVariant', productionVariant_containerStartupHealthCheckTimeoutInSeconds - The timeout value, in seconds, for your inference container to pass health check by SageMaker Hosting. For more information about health check, see How Your Container Should Respond to Health Check (Ping) Requests.

$sel:coreDumpConfig:ProductionVariant', productionVariant_coreDumpConfig - Specifies configuration for a core dump from the model container when the process crashes.

$sel:initialInstanceCount:ProductionVariant', productionVariant_initialInstanceCount - Number of instances to launch initially.

$sel:initialVariantWeight:ProductionVariant', productionVariant_initialVariantWeight - Determines initial traffic distribution among all of the models that you specify in the endpoint configuration. The traffic to a production variant is determined by the ratio of the VariantWeight to the sum of all VariantWeight values across all ProductionVariants. If unspecified, it defaults to 1.0.

$sel:instanceType:ProductionVariant', productionVariant_instanceType - The ML compute instance type.

$sel:modelDataDownloadTimeoutInSeconds:ProductionVariant', productionVariant_modelDataDownloadTimeoutInSeconds - The timeout value, in seconds, to download and extract the model that you want to host from Amazon S3 to the individual inference instance associated with this production variant.

$sel:serverlessConfig:ProductionVariant', productionVariant_serverlessConfig - The serverless configuration for an endpoint. Specifies a serverless endpoint configuration instead of an instance-based endpoint configuration.

$sel:volumeSizeInGB:ProductionVariant', productionVariant_volumeSizeInGB - The size, in GB, of the ML storage volume attached to individual inference instance associated with the production variant. Currenly only Amazon EBS gp2 storage volumes are supported.

$sel:variantName:ProductionVariant', productionVariant_variantName - The name of the production variant.

$sel:modelName:ProductionVariant', productionVariant_modelName - The name of the model that you want to host. This is the name that you specified when creating the model.

productionVariant_acceleratorType :: Lens' ProductionVariant (Maybe ProductionVariantAcceleratorType) Source #

The size of the Elastic Inference (EI) instance to use for the production variant. EI instances provide on-demand GPU computing for inference. For more information, see Using Elastic Inference in Amazon SageMaker.

productionVariant_containerStartupHealthCheckTimeoutInSeconds :: Lens' ProductionVariant (Maybe Natural) Source #

The timeout value, in seconds, for your inference container to pass health check by SageMaker Hosting. For more information about health check, see How Your Container Should Respond to Health Check (Ping) Requests.

productionVariant_coreDumpConfig :: Lens' ProductionVariant (Maybe ProductionVariantCoreDumpConfig) Source #

Specifies configuration for a core dump from the model container when the process crashes.

productionVariant_initialInstanceCount :: Lens' ProductionVariant (Maybe Natural) Source #

Number of instances to launch initially.

productionVariant_initialVariantWeight :: Lens' ProductionVariant (Maybe Double) Source #

Determines initial traffic distribution among all of the models that you specify in the endpoint configuration. The traffic to a production variant is determined by the ratio of the VariantWeight to the sum of all VariantWeight values across all ProductionVariants. If unspecified, it defaults to 1.0.

productionVariant_instanceType :: Lens' ProductionVariant (Maybe ProductionVariantInstanceType) Source #

The ML compute instance type.

productionVariant_modelDataDownloadTimeoutInSeconds :: Lens' ProductionVariant (Maybe Natural) Source #

The timeout value, in seconds, to download and extract the model that you want to host from Amazon S3 to the individual inference instance associated with this production variant.

productionVariant_serverlessConfig :: Lens' ProductionVariant (Maybe ProductionVariantServerlessConfig) Source #

The serverless configuration for an endpoint. Specifies a serverless endpoint configuration instead of an instance-based endpoint configuration.

productionVariant_volumeSizeInGB :: Lens' ProductionVariant (Maybe Natural) Source #

The size, in GB, of the ML storage volume attached to individual inference instance associated with the production variant. Currenly only Amazon EBS gp2 storage volumes are supported.

productionVariant_variantName :: Lens' ProductionVariant Text Source #

The name of the production variant.

productionVariant_modelName :: Lens' ProductionVariant Text Source #

The name of the model that you want to host. This is the name that you specified when creating the model.

ProductionVariantCoreDumpConfig

data ProductionVariantCoreDumpConfig Source #

Specifies configuration for a core dump from the model container when the process crashes.

See: newProductionVariantCoreDumpConfig smart constructor.

Constructors

ProductionVariantCoreDumpConfig' 

Fields

  • kmsKeyId :: Maybe Text

    The Amazon Web Services Key Management Service (Amazon Web Services KMS) key that SageMaker uses to encrypt the core dump data at rest using Amazon S3 server-side encryption. The KmsKeyId can be any of the following formats:

    • // KMS Key ID

      "1234abcd-12ab-34cd-56ef-1234567890ab"

    • // Amazon Resource Name (ARN) of a KMS Key

      "arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab"

    • // KMS Key Alias

      "alias/ExampleAlias"

    • // Amazon Resource Name (ARN) of a KMS Key Alias

      "arn:aws:kms:us-west-2:111122223333:alias/ExampleAlias"

    If you use a KMS key ID or an alias of your KMS key, the SageMaker execution role must include permissions to call kms:Encrypt. If you don't provide a KMS key ID, SageMaker uses the default KMS key for Amazon S3 for your role's account. SageMaker uses server-side encryption with KMS-managed keys for OutputDataConfig. If you use a bucket policy with an s3:PutObject permission that only allows objects with server-side encryption, set the condition key of s3:x-amz-server-side-encryption to "aws:kms". For more information, see KMS-Managed Encryption Keys in the Amazon Simple Storage Service Developer Guide.

    The KMS key policy must grant permission to the IAM role that you specify in your CreateEndpoint and UpdateEndpoint requests. For more information, see Using Key Policies in Amazon Web Services KMS in the Amazon Web Services Key Management Service Developer Guide.

  • destinationS3Uri :: Text

    The Amazon S3 bucket to send the core dump to.

Instances

Instances details
FromJSON ProductionVariantCoreDumpConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProductionVariantCoreDumpConfig

Methods

parseJSON :: Value -> Parser ProductionVariantCoreDumpConfig #

parseJSONList :: Value -> Parser [ProductionVariantCoreDumpConfig] #

ToJSON ProductionVariantCoreDumpConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProductionVariantCoreDumpConfig

Methods

toJSON :: ProductionVariantCoreDumpConfig -> Value #

toEncoding :: ProductionVariantCoreDumpConfig -> Encoding #

toJSONList :: [ProductionVariantCoreDumpConfig] -> Value #

toEncodingList :: [ProductionVariantCoreDumpConfig] -> Encoding #

Generic ProductionVariantCoreDumpConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProductionVariantCoreDumpConfig

Associated Types

type Rep ProductionVariantCoreDumpConfig :: Type -> Type #

Methods

from :: ProductionVariantCoreDumpConfig -> Rep ProductionVariantCoreDumpConfig x #

to :: Rep ProductionVariantCoreDumpConfig x -> ProductionVariantCoreDumpConfig #

Read ProductionVariantCoreDumpConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProductionVariantCoreDumpConfig

Methods

readsPrec :: Int -> ReadS ProductionVariantCoreDumpConfig #

readList :: ReadS [ProductionVariantCoreDumpConfig] #

readPrec :: ReadPrec ProductionVariantCoreDumpConfig #

readListPrec :: ReadPrec [ProductionVariantCoreDumpConfig] #

Show ProductionVariantCoreDumpConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProductionVariantCoreDumpConfig

Methods

showsPrec :: Int -> ProductionVariantCoreDumpConfig -> ShowS #

show :: ProductionVariantCoreDumpConfig -> String #

showList :: [ProductionVariantCoreDumpConfig] -> ShowS #

NFData ProductionVariantCoreDumpConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProductionVariantCoreDumpConfig

Methods

rnf :: ProductionVariantCoreDumpConfig -> () #

Eq ProductionVariantCoreDumpConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProductionVariantCoreDumpConfig

Methods

(==) :: ProductionVariantCoreDumpConfig -> ProductionVariantCoreDumpConfig -> Bool #

(/=) :: ProductionVariantCoreDumpConfig -> ProductionVariantCoreDumpConfig -> Bool #

Hashable ProductionVariantCoreDumpConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProductionVariantCoreDumpConfig

Methods

hashWithSalt :: Int -> ProductionVariantCoreDumpConfig -> Int #

hash :: ProductionVariantCoreDumpConfig -> Int #

type Rep ProductionVariantCoreDumpConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProductionVariantCoreDumpConfig

type Rep ProductionVariantCoreDumpConfig = D1 ('MetaData "ProductionVariantCoreDumpConfig" "Amazonka.SageMaker.Types.ProductionVariantCoreDumpConfig" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "ProductionVariantCoreDumpConfig'" 'PrefixI 'True) (S1 ('MetaSel ('Just "kmsKeyId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "destinationS3Uri") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))

newProductionVariantCoreDumpConfig Source #

Arguments

:: Text

$sel:destinationS3Uri:ProductionVariantCoreDumpConfig'

-> ProductionVariantCoreDumpConfig 

Create a value of ProductionVariantCoreDumpConfig with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:kmsKeyId:ProductionVariantCoreDumpConfig', productionVariantCoreDumpConfig_kmsKeyId - The Amazon Web Services Key Management Service (Amazon Web Services KMS) key that SageMaker uses to encrypt the core dump data at rest using Amazon S3 server-side encryption. The KmsKeyId can be any of the following formats:

  • // KMS Key ID

    "1234abcd-12ab-34cd-56ef-1234567890ab"

  • // Amazon Resource Name (ARN) of a KMS Key

    "arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab"

  • // KMS Key Alias

    "alias/ExampleAlias"

  • // Amazon Resource Name (ARN) of a KMS Key Alias

    "arn:aws:kms:us-west-2:111122223333:alias/ExampleAlias"

If you use a KMS key ID or an alias of your KMS key, the SageMaker execution role must include permissions to call kms:Encrypt. If you don't provide a KMS key ID, SageMaker uses the default KMS key for Amazon S3 for your role's account. SageMaker uses server-side encryption with KMS-managed keys for OutputDataConfig. If you use a bucket policy with an s3:PutObject permission that only allows objects with server-side encryption, set the condition key of s3:x-amz-server-side-encryption to "aws:kms". For more information, see KMS-Managed Encryption Keys in the Amazon Simple Storage Service Developer Guide.

The KMS key policy must grant permission to the IAM role that you specify in your CreateEndpoint and UpdateEndpoint requests. For more information, see Using Key Policies in Amazon Web Services KMS in the Amazon Web Services Key Management Service Developer Guide.

$sel:destinationS3Uri:ProductionVariantCoreDumpConfig', productionVariantCoreDumpConfig_destinationS3Uri - The Amazon S3 bucket to send the core dump to.

productionVariantCoreDumpConfig_kmsKeyId :: Lens' ProductionVariantCoreDumpConfig (Maybe Text) Source #

The Amazon Web Services Key Management Service (Amazon Web Services KMS) key that SageMaker uses to encrypt the core dump data at rest using Amazon S3 server-side encryption. The KmsKeyId can be any of the following formats:

  • // KMS Key ID

    "1234abcd-12ab-34cd-56ef-1234567890ab"

  • // Amazon Resource Name (ARN) of a KMS Key

    "arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab"

  • // KMS Key Alias

    "alias/ExampleAlias"

  • // Amazon Resource Name (ARN) of a KMS Key Alias

    "arn:aws:kms:us-west-2:111122223333:alias/ExampleAlias"

If you use a KMS key ID or an alias of your KMS key, the SageMaker execution role must include permissions to call kms:Encrypt. If you don't provide a KMS key ID, SageMaker uses the default KMS key for Amazon S3 for your role's account. SageMaker uses server-side encryption with KMS-managed keys for OutputDataConfig. If you use a bucket policy with an s3:PutObject permission that only allows objects with server-side encryption, set the condition key of s3:x-amz-server-side-encryption to "aws:kms". For more information, see KMS-Managed Encryption Keys in the Amazon Simple Storage Service Developer Guide.

The KMS key policy must grant permission to the IAM role that you specify in your CreateEndpoint and UpdateEndpoint requests. For more information, see Using Key Policies in Amazon Web Services KMS in the Amazon Web Services Key Management Service Developer Guide.

productionVariantCoreDumpConfig_destinationS3Uri :: Lens' ProductionVariantCoreDumpConfig Text Source #

The Amazon S3 bucket to send the core dump to.

ProductionVariantServerlessConfig

data ProductionVariantServerlessConfig Source #

Specifies the serverless configuration for an endpoint variant.

See: newProductionVariantServerlessConfig smart constructor.

Constructors

ProductionVariantServerlessConfig' 

Fields

  • memorySizeInMB :: Natural

    The memory size of your serverless endpoint. Valid values are in 1 GB increments: 1024 MB, 2048 MB, 3072 MB, 4096 MB, 5120 MB, or 6144 MB.

  • maxConcurrency :: Natural

    The maximum number of concurrent invocations your serverless endpoint can process.

Instances

Instances details
FromJSON ProductionVariantServerlessConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProductionVariantServerlessConfig

Methods

parseJSON :: Value -> Parser ProductionVariantServerlessConfig #

parseJSONList :: Value -> Parser [ProductionVariantServerlessConfig] #

ToJSON ProductionVariantServerlessConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProductionVariantServerlessConfig

Methods

toJSON :: ProductionVariantServerlessConfig -> Value #

toEncoding :: ProductionVariantServerlessConfig -> Encoding #

toJSONList :: [ProductionVariantServerlessConfig] -> Value #

toEncodingList :: [ProductionVariantServerlessConfig] -> Encoding #

Generic ProductionVariantServerlessConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProductionVariantServerlessConfig

Associated Types

type Rep ProductionVariantServerlessConfig :: Type -> Type #

Methods

from :: ProductionVariantServerlessConfig -> Rep ProductionVariantServerlessConfig x #

to :: Rep ProductionVariantServerlessConfig x -> ProductionVariantServerlessConfig #

Read ProductionVariantServerlessConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProductionVariantServerlessConfig

Methods

readsPrec :: Int -> ReadS ProductionVariantServerlessConfig #

readList :: ReadS [ProductionVariantServerlessConfig] #

readPrec :: ReadPrec ProductionVariantServerlessConfig #

readListPrec :: ReadPrec [ProductionVariantServerlessConfig] #

Show ProductionVariantServerlessConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProductionVariantServerlessConfig

Methods

showsPrec :: Int -> ProductionVariantServerlessConfig -> ShowS #

show :: ProductionVariantServerlessConfig -> String #

showList :: [ProductionVariantServerlessConfig] -> ShowS #

NFData ProductionVariantServerlessConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProductionVariantServerlessConfig

Methods

rnf :: ProductionVariantServerlessConfig -> () #

Eq ProductionVariantServerlessConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProductionVariantServerlessConfig

Methods

(==) :: ProductionVariantServerlessConfig -> ProductionVariantServerlessConfig -> Bool #

(/=) :: ProductionVariantServerlessConfig -> ProductionVariantServerlessConfig -> Bool #

Hashable ProductionVariantServerlessConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProductionVariantServerlessConfig

Methods

hashWithSalt :: Int -> ProductionVariantServerlessConfig -> Int #

hash :: ProductionVariantServerlessConfig -> Int #

type Rep ProductionVariantServerlessConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProductionVariantServerlessConfig

type Rep ProductionVariantServerlessConfig = D1 ('MetaData "ProductionVariantServerlessConfig" "Amazonka.SageMaker.Types.ProductionVariantServerlessConfig" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "ProductionVariantServerlessConfig'" 'PrefixI 'True) (S1 ('MetaSel ('Just "memorySizeInMB") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Natural) :*: S1 ('MetaSel ('Just "maxConcurrency") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Natural)))

newProductionVariantServerlessConfig Source #

Arguments

:: Natural

$sel:memorySizeInMB:ProductionVariantServerlessConfig'

-> Natural

$sel:maxConcurrency:ProductionVariantServerlessConfig'

-> ProductionVariantServerlessConfig 

Create a value of ProductionVariantServerlessConfig with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:memorySizeInMB:ProductionVariantServerlessConfig', productionVariantServerlessConfig_memorySizeInMB - The memory size of your serverless endpoint. Valid values are in 1 GB increments: 1024 MB, 2048 MB, 3072 MB, 4096 MB, 5120 MB, or 6144 MB.

$sel:maxConcurrency:ProductionVariantServerlessConfig', productionVariantServerlessConfig_maxConcurrency - The maximum number of concurrent invocations your serverless endpoint can process.

productionVariantServerlessConfig_memorySizeInMB :: Lens' ProductionVariantServerlessConfig Natural Source #

The memory size of your serverless endpoint. Valid values are in 1 GB increments: 1024 MB, 2048 MB, 3072 MB, 4096 MB, 5120 MB, or 6144 MB.

productionVariantServerlessConfig_maxConcurrency :: Lens' ProductionVariantServerlessConfig Natural Source #

The maximum number of concurrent invocations your serverless endpoint can process.

ProductionVariantStatus

data ProductionVariantStatus Source #

Describes the status of the production variant.

See: newProductionVariantStatus smart constructor.

Constructors

ProductionVariantStatus' 

Fields

  • startTime :: Maybe POSIX

    The start time of the current status change.

  • statusMessage :: Maybe Text

    A message that describes the status of the production variant.

  • status :: VariantStatus

    The endpoint variant status which describes the current deployment stage status or operational status.

    • Creating: Creating inference resources for the production variant.
    • Deleting: Terminating inference resources for the production variant.
    • Updating: Updating capacity for the production variant.
    • ActivatingTraffic: Turning on traffic for the production variant.
    • Baking: Waiting period to monitor the CloudWatch alarms in the automatic rollback configuration.

Instances

Instances details
FromJSON ProductionVariantStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProductionVariantStatus

Methods

parseJSON :: Value -> Parser ProductionVariantStatus #

parseJSONList :: Value -> Parser [ProductionVariantStatus] #

Generic ProductionVariantStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProductionVariantStatus

Associated Types

type Rep ProductionVariantStatus :: Type -> Type #

Methods

from :: ProductionVariantStatus -> Rep ProductionVariantStatus x #

to :: Rep ProductionVariantStatus x -> ProductionVariantStatus #

Read ProductionVariantStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProductionVariantStatus

Methods

readsPrec :: Int -> ReadS ProductionVariantStatus #

readList :: ReadS [ProductionVariantStatus] #

readPrec :: ReadPrec ProductionVariantStatus #

readListPrec :: ReadPrec [ProductionVariantStatus] #

Show ProductionVariantStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProductionVariantStatus

Methods

showsPrec :: Int -> ProductionVariantStatus -> ShowS #

show :: ProductionVariantStatus -> String #

showList :: [ProductionVariantStatus] -> ShowS #

NFData ProductionVariantStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProductionVariantStatus

Methods

rnf :: ProductionVariantStatus -> () #

Eq ProductionVariantStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProductionVariantStatus

Methods

(==) :: ProductionVariantStatus -> ProductionVariantStatus -> Bool #

(/=) :: ProductionVariantStatus -> ProductionVariantStatus -> Bool #

Hashable ProductionVariantStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProductionVariantStatus

Methods

hashWithSalt :: Int -> ProductionVariantStatus -> Int #

hash :: ProductionVariantStatus -> Int #

type Rep ProductionVariantStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProductionVariantStatus

type Rep ProductionVariantStatus = D1 ('MetaData "ProductionVariantStatus" "Amazonka.SageMaker.Types.ProductionVariantStatus" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "ProductionVariantStatus'" 'PrefixI 'True) (S1 ('MetaSel ('Just "startTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :*: (S1 ('MetaSel ('Just "statusMessage") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "status") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 VariantStatus))))

newProductionVariantStatus Source #

Arguments

:: VariantStatus

$sel:status:ProductionVariantStatus'

-> ProductionVariantStatus 

Create a value of ProductionVariantStatus with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:startTime:ProductionVariantStatus', productionVariantStatus_startTime - The start time of the current status change.

$sel:statusMessage:ProductionVariantStatus', productionVariantStatus_statusMessage - A message that describes the status of the production variant.

$sel:status:ProductionVariantStatus', productionVariantStatus_status - The endpoint variant status which describes the current deployment stage status or operational status.

  • Creating: Creating inference resources for the production variant.
  • Deleting: Terminating inference resources for the production variant.
  • Updating: Updating capacity for the production variant.
  • ActivatingTraffic: Turning on traffic for the production variant.
  • Baking: Waiting period to monitor the CloudWatch alarms in the automatic rollback configuration.

productionVariantStatus_startTime :: Lens' ProductionVariantStatus (Maybe UTCTime) Source #

The start time of the current status change.

productionVariantStatus_statusMessage :: Lens' ProductionVariantStatus (Maybe Text) Source #

A message that describes the status of the production variant.

productionVariantStatus_status :: Lens' ProductionVariantStatus VariantStatus Source #

The endpoint variant status which describes the current deployment stage status or operational status.

  • Creating: Creating inference resources for the production variant.
  • Deleting: Terminating inference resources for the production variant.
  • Updating: Updating capacity for the production variant.
  • ActivatingTraffic: Turning on traffic for the production variant.
  • Baking: Waiting period to monitor the CloudWatch alarms in the automatic rollback configuration.

ProductionVariantSummary

data ProductionVariantSummary Source #

Describes weight and capacities for a production variant associated with an endpoint. If you sent a request to the UpdateEndpointWeightsAndCapacities API and the endpoint status is Updating, you get different desired and current values.

See: newProductionVariantSummary smart constructor.

Constructors

ProductionVariantSummary' 

Fields

Instances

Instances details
FromJSON ProductionVariantSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProductionVariantSummary

Methods

parseJSON :: Value -> Parser ProductionVariantSummary #

parseJSONList :: Value -> Parser [ProductionVariantSummary] #

Generic ProductionVariantSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProductionVariantSummary

Associated Types

type Rep ProductionVariantSummary :: Type -> Type #

Methods

from :: ProductionVariantSummary -> Rep ProductionVariantSummary x #

to :: Rep ProductionVariantSummary x -> ProductionVariantSummary #

Read ProductionVariantSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProductionVariantSummary

Methods

readsPrec :: Int -> ReadS ProductionVariantSummary #

readList :: ReadS [ProductionVariantSummary] #

readPrec :: ReadPrec ProductionVariantSummary #

readListPrec :: ReadPrec [ProductionVariantSummary] #

Show ProductionVariantSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProductionVariantSummary

Methods

showsPrec :: Int -> ProductionVariantSummary -> ShowS #

show :: ProductionVariantSummary -> String #

showList :: [ProductionVariantSummary] -> ShowS #

NFData ProductionVariantSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProductionVariantSummary

Methods

rnf :: ProductionVariantSummary -> () #

Eq ProductionVariantSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProductionVariantSummary

Methods

(==) :: ProductionVariantSummary -> ProductionVariantSummary -> Bool #

(/=) :: ProductionVariantSummary -> ProductionVariantSummary -> Bool #

Hashable ProductionVariantSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProductionVariantSummary

Methods

hashWithSalt :: Int -> ProductionVariantSummary -> Int #

hash :: ProductionVariantSummary -> Int #

type Rep ProductionVariantSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProductionVariantSummary

type Rep ProductionVariantSummary = D1 ('MetaData "ProductionVariantSummary" "Amazonka.SageMaker.Types.ProductionVariantSummary" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "ProductionVariantSummary'" 'PrefixI 'True) (((S1 ('MetaSel ('Just "currentInstanceCount") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural)) :*: S1 ('MetaSel ('Just "currentServerlessConfig") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ProductionVariantServerlessConfig))) :*: (S1 ('MetaSel ('Just "currentWeight") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double)) :*: S1 ('MetaSel ('Just "deployedImages") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [DeployedImage])))) :*: ((S1 ('MetaSel ('Just "desiredInstanceCount") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural)) :*: S1 ('MetaSel ('Just "desiredServerlessConfig") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ProductionVariantServerlessConfig))) :*: (S1 ('MetaSel ('Just "desiredWeight") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double)) :*: (S1 ('MetaSel ('Just "variantStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [ProductionVariantStatus])) :*: S1 ('MetaSel ('Just "variantName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text))))))

newProductionVariantSummary Source #

Arguments

:: Text

$sel:variantName:ProductionVariantSummary'

-> ProductionVariantSummary 

Create a value of ProductionVariantSummary with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:currentInstanceCount:ProductionVariantSummary', productionVariantSummary_currentInstanceCount - The number of instances associated with the variant.

$sel:currentServerlessConfig:ProductionVariantSummary', productionVariantSummary_currentServerlessConfig - The serverless configuration for the endpoint.

$sel:currentWeight:ProductionVariantSummary', productionVariantSummary_currentWeight - The weight associated with the variant.

$sel:deployedImages:ProductionVariantSummary', productionVariantSummary_deployedImages - An array of DeployedImage objects that specify the Amazon EC2 Container Registry paths of the inference images deployed on instances of this ProductionVariant.

$sel:desiredInstanceCount:ProductionVariantSummary', productionVariantSummary_desiredInstanceCount - The number of instances requested in the UpdateEndpointWeightsAndCapacities request.

$sel:desiredServerlessConfig:ProductionVariantSummary', productionVariantSummary_desiredServerlessConfig - The serverless configuration requested for the endpoint update.

$sel:desiredWeight:ProductionVariantSummary', productionVariantSummary_desiredWeight - The requested weight, as specified in the UpdateEndpointWeightsAndCapacities request.

$sel:variantStatus:ProductionVariantSummary', productionVariantSummary_variantStatus - The endpoint variant status which describes the current deployment stage status or operational status.

$sel:variantName:ProductionVariantSummary', productionVariantSummary_variantName - The name of the variant.

productionVariantSummary_currentInstanceCount :: Lens' ProductionVariantSummary (Maybe Natural) Source #

The number of instances associated with the variant.

productionVariantSummary_currentServerlessConfig :: Lens' ProductionVariantSummary (Maybe ProductionVariantServerlessConfig) Source #

The serverless configuration for the endpoint.

productionVariantSummary_currentWeight :: Lens' ProductionVariantSummary (Maybe Double) Source #

The weight associated with the variant.

productionVariantSummary_deployedImages :: Lens' ProductionVariantSummary (Maybe [DeployedImage]) Source #

An array of DeployedImage objects that specify the Amazon EC2 Container Registry paths of the inference images deployed on instances of this ProductionVariant.

productionVariantSummary_desiredInstanceCount :: Lens' ProductionVariantSummary (Maybe Natural) Source #

The number of instances requested in the UpdateEndpointWeightsAndCapacities request.

productionVariantSummary_desiredServerlessConfig :: Lens' ProductionVariantSummary (Maybe ProductionVariantServerlessConfig) Source #

The serverless configuration requested for the endpoint update.

productionVariantSummary_desiredWeight :: Lens' ProductionVariantSummary (Maybe Double) Source #

The requested weight, as specified in the UpdateEndpointWeightsAndCapacities request.

productionVariantSummary_variantStatus :: Lens' ProductionVariantSummary (Maybe [ProductionVariantStatus]) Source #

The endpoint variant status which describes the current deployment stage status or operational status.

productionVariantSummary_variantName :: Lens' ProductionVariantSummary Text Source #

The name of the variant.

ProfilerConfig

data ProfilerConfig Source #

Configuration information for Amazon SageMaker Debugger system monitoring, framework profiling, and storage paths.

See: newProfilerConfig smart constructor.

Constructors

ProfilerConfig' 

Fields

Instances

Instances details
FromJSON ProfilerConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProfilerConfig

Methods

parseJSON :: Value -> Parser ProfilerConfig #

parseJSONList :: Value -> Parser [ProfilerConfig] #

ToJSON ProfilerConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProfilerConfig

Methods

toJSON :: ProfilerConfig -> Value #

toEncoding :: ProfilerConfig -> Encoding #

toJSONList :: [ProfilerConfig] -> Value #

toEncodingList :: [ProfilerConfig] -> Encoding #

Generic ProfilerConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProfilerConfig

Associated Types

type Rep ProfilerConfig :: Type -> Type #

Methods

from :: ProfilerConfig -> Rep ProfilerConfig x #

to :: Rep ProfilerConfig x -> ProfilerConfig #

Read ProfilerConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProfilerConfig

Methods

readsPrec :: Int -> ReadS ProfilerConfig #

readList :: ReadS [ProfilerConfig] #

readPrec :: ReadPrec ProfilerConfig #

readListPrec :: ReadPrec [ProfilerConfig] #

Show ProfilerConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProfilerConfig

Methods

showsPrec :: Int -> ProfilerConfig -> ShowS #

show :: ProfilerConfig -> String #

showList :: [ProfilerConfig] -> ShowS #

NFData ProfilerConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProfilerConfig

Methods

rnf :: ProfilerConfig -> () #

Eq ProfilerConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProfilerConfig

Methods

(==) :: ProfilerConfig -> ProfilerConfig -> Bool #

(/=) :: ProfilerConfig -> ProfilerConfig -> Bool #

Hashable ProfilerConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProfilerConfig

Methods

hashWithSalt :: Int -> ProfilerConfig -> Int #

hash :: ProfilerConfig -> Int #

type Rep ProfilerConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProfilerConfig

type Rep ProfilerConfig = D1 ('MetaData "ProfilerConfig" "Amazonka.SageMaker.Types.ProfilerConfig" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "ProfilerConfig'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "disableProfiler") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Bool)) :*: S1 ('MetaSel ('Just "profilingIntervalInMilliseconds") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Integer))) :*: (S1 ('MetaSel ('Just "profilingParameters") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe (HashMap Text Text))) :*: S1 ('MetaSel ('Just "s3OutputPath") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))))

newProfilerConfig :: ProfilerConfig Source #

Create a value of ProfilerConfig with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:disableProfiler:ProfilerConfig', profilerConfig_disableProfiler - Configuration to turn off Amazon SageMaker Debugger's system monitoring and profiling functionality. To turn it off, set to True.

$sel:profilingIntervalInMilliseconds:ProfilerConfig', profilerConfig_profilingIntervalInMilliseconds - A time interval for capturing system metrics in milliseconds. Available values are 100, 200, 500, 1000 (1 second), 5000 (5 seconds), and 60000 (1 minute) milliseconds. The default value is 500 milliseconds.

$sel:profilingParameters:ProfilerConfig', profilerConfig_profilingParameters - Configuration information for capturing framework metrics. Available key strings for different profiling options are DetailedProfilingConfig, PythonProfilingConfig, and DataLoaderProfilingConfig. The following codes are configuration structures for the ProfilingParameters parameter. To learn more about how to configure the ProfilingParameters parameter, see Use the SageMaker and Debugger Configuration API Operations to Create, Update, and Debug Your Training Job.

$sel:s3OutputPath:ProfilerConfig', profilerConfig_s3OutputPath - Path to Amazon S3 storage location for system and framework metrics.

profilerConfig_disableProfiler :: Lens' ProfilerConfig (Maybe Bool) Source #

Configuration to turn off Amazon SageMaker Debugger's system monitoring and profiling functionality. To turn it off, set to True.

profilerConfig_profilingIntervalInMilliseconds :: Lens' ProfilerConfig (Maybe Integer) Source #

A time interval for capturing system metrics in milliseconds. Available values are 100, 200, 500, 1000 (1 second), 5000 (5 seconds), and 60000 (1 minute) milliseconds. The default value is 500 milliseconds.

profilerConfig_profilingParameters :: Lens' ProfilerConfig (Maybe (HashMap Text Text)) Source #

Configuration information for capturing framework metrics. Available key strings for different profiling options are DetailedProfilingConfig, PythonProfilingConfig, and DataLoaderProfilingConfig. The following codes are configuration structures for the ProfilingParameters parameter. To learn more about how to configure the ProfilingParameters parameter, see Use the SageMaker and Debugger Configuration API Operations to Create, Update, and Debug Your Training Job.

profilerConfig_s3OutputPath :: Lens' ProfilerConfig (Maybe Text) Source #

Path to Amazon S3 storage location for system and framework metrics.

ProfilerConfigForUpdate

data ProfilerConfigForUpdate Source #

Configuration information for updating the Amazon SageMaker Debugger profile parameters, system and framework metrics configurations, and storage paths.

See: newProfilerConfigForUpdate smart constructor.

Constructors

ProfilerConfigForUpdate' 

Fields

Instances

Instances details
ToJSON ProfilerConfigForUpdate Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProfilerConfigForUpdate

Methods

toJSON :: ProfilerConfigForUpdate -> Value #

toEncoding :: ProfilerConfigForUpdate -> Encoding #

toJSONList :: [ProfilerConfigForUpdate] -> Value #

toEncodingList :: [ProfilerConfigForUpdate] -> Encoding #

Generic ProfilerConfigForUpdate Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProfilerConfigForUpdate

Associated Types

type Rep ProfilerConfigForUpdate :: Type -> Type #

Methods

from :: ProfilerConfigForUpdate -> Rep ProfilerConfigForUpdate x #

to :: Rep ProfilerConfigForUpdate x -> ProfilerConfigForUpdate #

Read ProfilerConfigForUpdate Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProfilerConfigForUpdate

Methods

readsPrec :: Int -> ReadS ProfilerConfigForUpdate #

readList :: ReadS [ProfilerConfigForUpdate] #

readPrec :: ReadPrec ProfilerConfigForUpdate #

readListPrec :: ReadPrec [ProfilerConfigForUpdate] #

Show ProfilerConfigForUpdate Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProfilerConfigForUpdate

Methods

showsPrec :: Int -> ProfilerConfigForUpdate -> ShowS #

show :: ProfilerConfigForUpdate -> String #

showList :: [ProfilerConfigForUpdate] -> ShowS #

NFData ProfilerConfigForUpdate Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProfilerConfigForUpdate

Methods

rnf :: ProfilerConfigForUpdate -> () #

Eq ProfilerConfigForUpdate Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProfilerConfigForUpdate

Methods

(==) :: ProfilerConfigForUpdate -> ProfilerConfigForUpdate -> Bool #

(/=) :: ProfilerConfigForUpdate -> ProfilerConfigForUpdate -> Bool #

Hashable ProfilerConfigForUpdate Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProfilerConfigForUpdate

Methods

hashWithSalt :: Int -> ProfilerConfigForUpdate -> Int #

hash :: ProfilerConfigForUpdate -> Int #

type Rep ProfilerConfigForUpdate Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProfilerConfigForUpdate

type Rep ProfilerConfigForUpdate = D1 ('MetaData "ProfilerConfigForUpdate" "Amazonka.SageMaker.Types.ProfilerConfigForUpdate" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "ProfilerConfigForUpdate'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "disableProfiler") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Bool)) :*: S1 ('MetaSel ('Just "profilingIntervalInMilliseconds") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Integer))) :*: (S1 ('MetaSel ('Just "profilingParameters") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe (HashMap Text Text))) :*: S1 ('MetaSel ('Just "s3OutputPath") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))))

newProfilerConfigForUpdate :: ProfilerConfigForUpdate Source #

Create a value of ProfilerConfigForUpdate with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:disableProfiler:ProfilerConfigForUpdate', profilerConfigForUpdate_disableProfiler - To turn off Amazon SageMaker Debugger monitoring and profiling while a training job is in progress, set to True.

$sel:profilingIntervalInMilliseconds:ProfilerConfigForUpdate', profilerConfigForUpdate_profilingIntervalInMilliseconds - A time interval for capturing system metrics in milliseconds. Available values are 100, 200, 500, 1000 (1 second), 5000 (5 seconds), and 60000 (1 minute) milliseconds. The default value is 500 milliseconds.

$sel:profilingParameters:ProfilerConfigForUpdate', profilerConfigForUpdate_profilingParameters - Configuration information for capturing framework metrics. Available key strings for different profiling options are DetailedProfilingConfig, PythonProfilingConfig, and DataLoaderProfilingConfig. The following codes are configuration structures for the ProfilingParameters parameter. To learn more about how to configure the ProfilingParameters parameter, see Use the SageMaker and Debugger Configuration API Operations to Create, Update, and Debug Your Training Job.

$sel:s3OutputPath:ProfilerConfigForUpdate', profilerConfigForUpdate_s3OutputPath - Path to Amazon S3 storage location for system and framework metrics.

profilerConfigForUpdate_disableProfiler :: Lens' ProfilerConfigForUpdate (Maybe Bool) Source #

To turn off Amazon SageMaker Debugger monitoring and profiling while a training job is in progress, set to True.

profilerConfigForUpdate_profilingIntervalInMilliseconds :: Lens' ProfilerConfigForUpdate (Maybe Integer) Source #

A time interval for capturing system metrics in milliseconds. Available values are 100, 200, 500, 1000 (1 second), 5000 (5 seconds), and 60000 (1 minute) milliseconds. The default value is 500 milliseconds.

profilerConfigForUpdate_profilingParameters :: Lens' ProfilerConfigForUpdate (Maybe (HashMap Text Text)) Source #

Configuration information for capturing framework metrics. Available key strings for different profiling options are DetailedProfilingConfig, PythonProfilingConfig, and DataLoaderProfilingConfig. The following codes are configuration structures for the ProfilingParameters parameter. To learn more about how to configure the ProfilingParameters parameter, see Use the SageMaker and Debugger Configuration API Operations to Create, Update, and Debug Your Training Job.

profilerConfigForUpdate_s3OutputPath :: Lens' ProfilerConfigForUpdate (Maybe Text) Source #

Path to Amazon S3 storage location for system and framework metrics.

ProfilerRuleConfiguration

data ProfilerRuleConfiguration Source #

Configuration information for profiling rules.

See: newProfilerRuleConfiguration smart constructor.

Constructors

ProfilerRuleConfiguration' 

Fields

Instances

Instances details
FromJSON ProfilerRuleConfiguration Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProfilerRuleConfiguration

Methods

parseJSON :: Value -> Parser ProfilerRuleConfiguration #

parseJSONList :: Value -> Parser [ProfilerRuleConfiguration] #

ToJSON ProfilerRuleConfiguration Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProfilerRuleConfiguration

Methods

toJSON :: ProfilerRuleConfiguration -> Value #

toEncoding :: ProfilerRuleConfiguration -> Encoding #

toJSONList :: [ProfilerRuleConfiguration] -> Value #

toEncodingList :: [ProfilerRuleConfiguration] -> Encoding #

Generic ProfilerRuleConfiguration Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProfilerRuleConfiguration

Associated Types

type Rep ProfilerRuleConfiguration :: Type -> Type #

Methods

from :: ProfilerRuleConfiguration -> Rep ProfilerRuleConfiguration x #

to :: Rep ProfilerRuleConfiguration x -> ProfilerRuleConfiguration #

Read ProfilerRuleConfiguration Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProfilerRuleConfiguration

Methods

readsPrec :: Int -> ReadS ProfilerRuleConfiguration #

readList :: ReadS [ProfilerRuleConfiguration] #

readPrec :: ReadPrec ProfilerRuleConfiguration #

readListPrec :: ReadPrec [ProfilerRuleConfiguration] #

Show ProfilerRuleConfiguration Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProfilerRuleConfiguration

Methods

showsPrec :: Int -> ProfilerRuleConfiguration -> ShowS #

show :: ProfilerRuleConfiguration -> String #

showList :: [ProfilerRuleConfiguration] -> ShowS #

NFData ProfilerRuleConfiguration Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProfilerRuleConfiguration

Methods

rnf :: ProfilerRuleConfiguration -> () #

Eq ProfilerRuleConfiguration Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProfilerRuleConfiguration

Methods

(==) :: ProfilerRuleConfiguration -> ProfilerRuleConfiguration -> Bool #

(/=) :: ProfilerRuleConfiguration -> ProfilerRuleConfiguration -> Bool #

Hashable ProfilerRuleConfiguration Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProfilerRuleConfiguration

Methods

hashWithSalt :: Int -> ProfilerRuleConfiguration -> Int #

hash :: ProfilerRuleConfiguration -> Int #

type Rep ProfilerRuleConfiguration Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProfilerRuleConfiguration

type Rep ProfilerRuleConfiguration = D1 ('MetaData "ProfilerRuleConfiguration" "Amazonka.SageMaker.Types.ProfilerRuleConfiguration" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "ProfilerRuleConfiguration'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "instanceType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ProcessingInstanceType)) :*: (S1 ('MetaSel ('Just "localPath") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "ruleParameters") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe (HashMap Text Text))))) :*: ((S1 ('MetaSel ('Just "s3OutputPath") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "volumeSizeInGB") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural))) :*: (S1 ('MetaSel ('Just "ruleConfigurationName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: S1 ('MetaSel ('Just "ruleEvaluatorImage") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))))

newProfilerRuleConfiguration Source #

Arguments

:: Text

$sel:ruleConfigurationName:ProfilerRuleConfiguration'

-> Text

$sel:ruleEvaluatorImage:ProfilerRuleConfiguration'

-> ProfilerRuleConfiguration 

Create a value of ProfilerRuleConfiguration with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:instanceType:ProfilerRuleConfiguration', profilerRuleConfiguration_instanceType - The instance type to deploy a custom rule for profiling a training job.

$sel:localPath:ProfilerRuleConfiguration', profilerRuleConfiguration_localPath - Path to local storage location for output of rules. Defaults to /opt/ml/processing/output/rule/.

$sel:ruleParameters:ProfilerRuleConfiguration', profilerRuleConfiguration_ruleParameters - Runtime configuration for rule container.

$sel:s3OutputPath:ProfilerRuleConfiguration', profilerRuleConfiguration_s3OutputPath - Path to Amazon S3 storage location for rules.

$sel:volumeSizeInGB:ProfilerRuleConfiguration', profilerRuleConfiguration_volumeSizeInGB - The size, in GB, of the ML storage volume attached to the processing instance.

$sel:ruleConfigurationName:ProfilerRuleConfiguration', profilerRuleConfiguration_ruleConfigurationName - The name of the rule configuration. It must be unique relative to other rule configuration names.

$sel:ruleEvaluatorImage:ProfilerRuleConfiguration', profilerRuleConfiguration_ruleEvaluatorImage - The Amazon Elastic Container Registry Image for the managed rule evaluation.

profilerRuleConfiguration_instanceType :: Lens' ProfilerRuleConfiguration (Maybe ProcessingInstanceType) Source #

The instance type to deploy a custom rule for profiling a training job.

profilerRuleConfiguration_localPath :: Lens' ProfilerRuleConfiguration (Maybe Text) Source #

Path to local storage location for output of rules. Defaults to /opt/ml/processing/output/rule/.

profilerRuleConfiguration_ruleParameters :: Lens' ProfilerRuleConfiguration (Maybe (HashMap Text Text)) Source #

Runtime configuration for rule container.

profilerRuleConfiguration_s3OutputPath :: Lens' ProfilerRuleConfiguration (Maybe Text) Source #

Path to Amazon S3 storage location for rules.

profilerRuleConfiguration_volumeSizeInGB :: Lens' ProfilerRuleConfiguration (Maybe Natural) Source #

The size, in GB, of the ML storage volume attached to the processing instance.

profilerRuleConfiguration_ruleConfigurationName :: Lens' ProfilerRuleConfiguration Text Source #

The name of the rule configuration. It must be unique relative to other rule configuration names.

profilerRuleConfiguration_ruleEvaluatorImage :: Lens' ProfilerRuleConfiguration Text Source #

The Amazon Elastic Container Registry Image for the managed rule evaluation.

ProfilerRuleEvaluationStatus

data ProfilerRuleEvaluationStatus Source #

Information about the status of the rule evaluation.

See: newProfilerRuleEvaluationStatus smart constructor.

Constructors

ProfilerRuleEvaluationStatus' 

Fields

Instances

Instances details
FromJSON ProfilerRuleEvaluationStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProfilerRuleEvaluationStatus

Methods

parseJSON :: Value -> Parser ProfilerRuleEvaluationStatus #

parseJSONList :: Value -> Parser [ProfilerRuleEvaluationStatus] #

Generic ProfilerRuleEvaluationStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProfilerRuleEvaluationStatus

Associated Types

type Rep ProfilerRuleEvaluationStatus :: Type -> Type #

Methods

from :: ProfilerRuleEvaluationStatus -> Rep ProfilerRuleEvaluationStatus x #

to :: Rep ProfilerRuleEvaluationStatus x -> ProfilerRuleEvaluationStatus #

Read ProfilerRuleEvaluationStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProfilerRuleEvaluationStatus

Methods

readsPrec :: Int -> ReadS ProfilerRuleEvaluationStatus #

readList :: ReadS [ProfilerRuleEvaluationStatus] #

readPrec :: ReadPrec ProfilerRuleEvaluationStatus #

readListPrec :: ReadPrec [ProfilerRuleEvaluationStatus] #

Show ProfilerRuleEvaluationStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProfilerRuleEvaluationStatus

Methods

showsPrec :: Int -> ProfilerRuleEvaluationStatus -> ShowS #

show :: ProfilerRuleEvaluationStatus -> String #

showList :: [ProfilerRuleEvaluationStatus] -> ShowS #

NFData ProfilerRuleEvaluationStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProfilerRuleEvaluationStatus

Methods

rnf :: ProfilerRuleEvaluationStatus -> () #

Eq ProfilerRuleEvaluationStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProfilerRuleEvaluationStatus

Methods

(==) :: ProfilerRuleEvaluationStatus -> ProfilerRuleEvaluationStatus -> Bool #

(/=) :: ProfilerRuleEvaluationStatus -> ProfilerRuleEvaluationStatus -> Bool #

Hashable ProfilerRuleEvaluationStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProfilerRuleEvaluationStatus

Methods

hashWithSalt :: Int -> ProfilerRuleEvaluationStatus -> Int #

hash :: ProfilerRuleEvaluationStatus -> Int #

type Rep ProfilerRuleEvaluationStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProfilerRuleEvaluationStatus

type Rep ProfilerRuleEvaluationStatus = D1 ('MetaData "ProfilerRuleEvaluationStatus" "Amazonka.SageMaker.Types.ProfilerRuleEvaluationStatus" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "ProfilerRuleEvaluationStatus'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "lastModifiedTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :*: S1 ('MetaSel ('Just "ruleConfigurationName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))) :*: (S1 ('MetaSel ('Just "ruleEvaluationJobArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: (S1 ('MetaSel ('Just "ruleEvaluationStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe RuleEvaluationStatus)) :*: S1 ('MetaSel ('Just "statusDetails") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))))

newProfilerRuleEvaluationStatus :: ProfilerRuleEvaluationStatus Source #

Create a value of ProfilerRuleEvaluationStatus with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:lastModifiedTime:ProfilerRuleEvaluationStatus', profilerRuleEvaluationStatus_lastModifiedTime - Timestamp when the rule evaluation status was last modified.

$sel:ruleConfigurationName:ProfilerRuleEvaluationStatus', profilerRuleEvaluationStatus_ruleConfigurationName - The name of the rule configuration.

$sel:ruleEvaluationJobArn:ProfilerRuleEvaluationStatus', profilerRuleEvaluationStatus_ruleEvaluationJobArn - The Amazon Resource Name (ARN) of the rule evaluation job.

$sel:ruleEvaluationStatus:ProfilerRuleEvaluationStatus', profilerRuleEvaluationStatus_ruleEvaluationStatus - Status of the rule evaluation.

$sel:statusDetails:ProfilerRuleEvaluationStatus', profilerRuleEvaluationStatus_statusDetails - Details from the rule evaluation.

profilerRuleEvaluationStatus_lastModifiedTime :: Lens' ProfilerRuleEvaluationStatus (Maybe UTCTime) Source #

Timestamp when the rule evaluation status was last modified.

profilerRuleEvaluationStatus_ruleConfigurationName :: Lens' ProfilerRuleEvaluationStatus (Maybe Text) Source #

The name of the rule configuration.

profilerRuleEvaluationStatus_ruleEvaluationJobArn :: Lens' ProfilerRuleEvaluationStatus (Maybe Text) Source #

The Amazon Resource Name (ARN) of the rule evaluation job.

profilerRuleEvaluationStatus_ruleEvaluationStatus :: Lens' ProfilerRuleEvaluationStatus (Maybe RuleEvaluationStatus) Source #

Status of the rule evaluation.

profilerRuleEvaluationStatus_statusDetails :: Lens' ProfilerRuleEvaluationStatus (Maybe Text) Source #

Details from the rule evaluation.

Project

data Project Source #

The properties of a project as returned by the Search API.

See: newProject smart constructor.

Constructors

Project' 

Fields

Instances

Instances details
FromJSON Project Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Project

Methods

parseJSON :: Value -> Parser Project #

parseJSONList :: Value -> Parser [Project] #

Generic Project Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Project

Associated Types

type Rep Project :: Type -> Type #

Methods

from :: Project -> Rep Project x #

to :: Rep Project x -> Project #

Read Project Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Project

Methods

readsPrec :: Int -> ReadS Project #

readList :: ReadS [Project] #

readPrec :: ReadPrec Project #

readListPrec :: ReadPrec [Project] #

Show Project Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Project

Methods

showsPrec :: Int -> Project -> ShowS #

show :: Project -> String #

showList :: [Project] -> ShowS #

NFData Project Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Project

Methods

rnf :: Project -> () #

Eq Project Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Project

Methods

(==) :: Project -> Project -> Bool #

(/=) :: Project -> Project -> Bool #

Hashable Project Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Project

Methods

hashWithSalt :: Int -> Project -> Int #

hash :: Project -> Int #

type Rep Project Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Project

type Rep Project = D1 ('MetaData "Project" "Amazonka.SageMaker.Types.Project" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "Project'" 'PrefixI 'True) (((S1 ('MetaSel ('Just "createdBy") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe UserContext)) :*: (S1 ('MetaSel ('Just "creationTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :*: S1 ('MetaSel ('Just "lastModifiedBy") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe UserContext)))) :*: (S1 ('MetaSel ('Just "lastModifiedTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :*: (S1 ('MetaSel ('Just "projectArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "projectDescription") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))) :*: ((S1 ('MetaSel ('Just "projectId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: (S1 ('MetaSel ('Just "projectName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "projectStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ProjectStatus)))) :*: (S1 ('MetaSel ('Just "serviceCatalogProvisionedProductDetails") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ServiceCatalogProvisionedProductDetails)) :*: (S1 ('MetaSel ('Just "serviceCatalogProvisioningDetails") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ServiceCatalogProvisioningDetails)) :*: S1 ('MetaSel ('Just "tags") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [Tag])))))))

newProject :: Project Source #

Create a value of Project with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:createdBy:Project', project_createdBy - Who created the project.

$sel:creationTime:Project', project_creationTime - A timestamp specifying when the project was created.

$sel:lastModifiedBy:Project', project_lastModifiedBy - Undocumented member.

$sel:lastModifiedTime:Project', project_lastModifiedTime - A timestamp container for when the project was last modified.

$sel:projectArn:Project', project_projectArn - The Amazon Resource Name (ARN) of the project.

$sel:projectDescription:Project', project_projectDescription - The description of the project.

$sel:projectId:Project', project_projectId - The ID of the project.

$sel:projectName:Project', project_projectName - The name of the project.

$sel:projectStatus:Project', project_projectStatus - The status of the project.

$sel:serviceCatalogProvisionedProductDetails:Project', project_serviceCatalogProvisionedProductDetails - Undocumented member.

$sel:serviceCatalogProvisioningDetails:Project', project_serviceCatalogProvisioningDetails - Undocumented member.

$sel:tags:Project', project_tags - An array of key-value pairs. You can use tags to categorize your Amazon Web Services resources in different ways, for example, by purpose, owner, or environment. For more information, see Tagging Amazon Web Services Resources.

project_createdBy :: Lens' Project (Maybe UserContext) Source #

Who created the project.

project_creationTime :: Lens' Project (Maybe UTCTime) Source #

A timestamp specifying when the project was created.

project_lastModifiedBy :: Lens' Project (Maybe UserContext) Source #

Undocumented member.

project_lastModifiedTime :: Lens' Project (Maybe UTCTime) Source #

A timestamp container for when the project was last modified.

project_projectArn :: Lens' Project (Maybe Text) Source #

The Amazon Resource Name (ARN) of the project.

project_projectDescription :: Lens' Project (Maybe Text) Source #

The description of the project.

project_projectId :: Lens' Project (Maybe Text) Source #

The ID of the project.

project_projectName :: Lens' Project (Maybe Text) Source #

The name of the project.

project_projectStatus :: Lens' Project (Maybe ProjectStatus) Source #

The status of the project.

project_serviceCatalogProvisionedProductDetails :: Lens' Project (Maybe ServiceCatalogProvisionedProductDetails) Source #

Undocumented member.

project_serviceCatalogProvisioningDetails :: Lens' Project (Maybe ServiceCatalogProvisioningDetails) Source #

Undocumented member.

project_tags :: Lens' Project (Maybe [Tag]) Source #

An array of key-value pairs. You can use tags to categorize your Amazon Web Services resources in different ways, for example, by purpose, owner, or environment. For more information, see Tagging Amazon Web Services Resources.

ProjectSummary

data ProjectSummary Source #

Information about a project.

See: newProjectSummary smart constructor.

Constructors

ProjectSummary' 

Fields

Instances

Instances details
FromJSON ProjectSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProjectSummary

Methods

parseJSON :: Value -> Parser ProjectSummary #

parseJSONList :: Value -> Parser [ProjectSummary] #

Generic ProjectSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProjectSummary

Associated Types

type Rep ProjectSummary :: Type -> Type #

Methods

from :: ProjectSummary -> Rep ProjectSummary x #

to :: Rep ProjectSummary x -> ProjectSummary #

Read ProjectSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProjectSummary

Methods

readsPrec :: Int -> ReadS ProjectSummary #

readList :: ReadS [ProjectSummary] #

readPrec :: ReadPrec ProjectSummary #

readListPrec :: ReadPrec [ProjectSummary] #

Show ProjectSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProjectSummary

Methods

showsPrec :: Int -> ProjectSummary -> ShowS #

show :: ProjectSummary -> String #

showList :: [ProjectSummary] -> ShowS #

NFData ProjectSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProjectSummary

Methods

rnf :: ProjectSummary -> () #

Eq ProjectSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProjectSummary

Methods

(==) :: ProjectSummary -> ProjectSummary -> Bool #

(/=) :: ProjectSummary -> ProjectSummary -> Bool #

Hashable ProjectSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProjectSummary

Methods

hashWithSalt :: Int -> ProjectSummary -> Int #

hash :: ProjectSummary -> Int #

type Rep ProjectSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProjectSummary

type Rep ProjectSummary = D1 ('MetaData "ProjectSummary" "Amazonka.SageMaker.Types.ProjectSummary" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "ProjectSummary'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "projectDescription") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: (S1 ('MetaSel ('Just "projectName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: S1 ('MetaSel ('Just "projectArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text))) :*: (S1 ('MetaSel ('Just "projectId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: (S1 ('MetaSel ('Just "creationTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 POSIX) :*: S1 ('MetaSel ('Just "projectStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 ProjectStatus)))))

newProjectSummary Source #

Arguments

:: Text

$sel:projectName:ProjectSummary'

-> Text

$sel:projectArn:ProjectSummary'

-> Text

$sel:projectId:ProjectSummary'

-> UTCTime

$sel:creationTime:ProjectSummary'

-> ProjectStatus

$sel:projectStatus:ProjectSummary'

-> ProjectSummary 

Create a value of ProjectSummary with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:projectDescription:ProjectSummary', projectSummary_projectDescription - The description of the project.

$sel:projectName:ProjectSummary', projectSummary_projectName - The name of the project.

$sel:projectArn:ProjectSummary', projectSummary_projectArn - The Amazon Resource Name (ARN) of the project.

$sel:projectId:ProjectSummary', projectSummary_projectId - The ID of the project.

$sel:creationTime:ProjectSummary', projectSummary_creationTime - The time that the project was created.

$sel:projectStatus:ProjectSummary', projectSummary_projectStatus - The status of the project.

projectSummary_projectDescription :: Lens' ProjectSummary (Maybe Text) Source #

The description of the project.

projectSummary_projectName :: Lens' ProjectSummary Text Source #

The name of the project.

projectSummary_projectArn :: Lens' ProjectSummary Text Source #

The Amazon Resource Name (ARN) of the project.

projectSummary_projectId :: Lens' ProjectSummary Text Source #

The ID of the project.

projectSummary_creationTime :: Lens' ProjectSummary UTCTime Source #

The time that the project was created.

projectSummary_projectStatus :: Lens' ProjectSummary ProjectStatus Source #

The status of the project.

PropertyNameQuery

data PropertyNameQuery Source #

Part of the SuggestionQuery type. Specifies a hint for retrieving property names that begin with the specified text.

See: newPropertyNameQuery smart constructor.

Constructors

PropertyNameQuery' 

Fields

Instances

Instances details
ToJSON PropertyNameQuery Source # 
Instance details

Defined in Amazonka.SageMaker.Types.PropertyNameQuery

Methods

toJSON :: PropertyNameQuery -> Value #

toEncoding :: PropertyNameQuery -> Encoding #

toJSONList :: [PropertyNameQuery] -> Value #

toEncodingList :: [PropertyNameQuery] -> Encoding #

Generic PropertyNameQuery Source # 
Instance details

Defined in Amazonka.SageMaker.Types.PropertyNameQuery

Associated Types

type Rep PropertyNameQuery :: Type -> Type #

Methods

from :: PropertyNameQuery -> Rep PropertyNameQuery x #

to :: Rep PropertyNameQuery x -> PropertyNameQuery #

Read PropertyNameQuery Source # 
Instance details

Defined in Amazonka.SageMaker.Types.PropertyNameQuery

Methods

readsPrec :: Int -> ReadS PropertyNameQuery #

readList :: ReadS [PropertyNameQuery] #

readPrec :: ReadPrec PropertyNameQuery #

readListPrec :: ReadPrec [PropertyNameQuery] #

Show PropertyNameQuery Source # 
Instance details

Defined in Amazonka.SageMaker.Types.PropertyNameQuery

Methods

showsPrec :: Int -> PropertyNameQuery -> ShowS #

show :: PropertyNameQuery -> String #

showList :: [PropertyNameQuery] -> ShowS #

NFData PropertyNameQuery Source # 
Instance details

Defined in Amazonka.SageMaker.Types.PropertyNameQuery

Methods

rnf :: PropertyNameQuery -> () #

Eq PropertyNameQuery Source # 
Instance details

Defined in Amazonka.SageMaker.Types.PropertyNameQuery

Methods

(==) :: PropertyNameQuery -> PropertyNameQuery -> Bool #

(/=) :: PropertyNameQuery -> PropertyNameQuery -> Bool #

Hashable PropertyNameQuery Source # 
Instance details

Defined in Amazonka.SageMaker.Types.PropertyNameQuery

Methods

hashWithSalt :: Int -> PropertyNameQuery -> Int #

hash :: PropertyNameQuery -> Int #

type Rep PropertyNameQuery Source # 
Instance details

Defined in Amazonka.SageMaker.Types.PropertyNameQuery

type Rep PropertyNameQuery = D1 ('MetaData "PropertyNameQuery" "Amazonka.SageMaker.Types.PropertyNameQuery" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "PropertyNameQuery'" 'PrefixI 'True) (S1 ('MetaSel ('Just "propertyNameHint") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))

newPropertyNameQuery Source #

Arguments

:: Text

$sel:propertyNameHint:PropertyNameQuery'

-> PropertyNameQuery 

Create a value of PropertyNameQuery with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:propertyNameHint:PropertyNameQuery', propertyNameQuery_propertyNameHint - Text that begins a property's name.

propertyNameQuery_propertyNameHint :: Lens' PropertyNameQuery Text Source #

Text that begins a property's name.

PropertyNameSuggestion

data PropertyNameSuggestion Source #

A property name returned from a GetSearchSuggestions call that specifies a value in the PropertyNameQuery field.

See: newPropertyNameSuggestion smart constructor.

Constructors

PropertyNameSuggestion' 

Fields

  • propertyName :: Maybe Text

    A suggested property name based on what you entered in the search textbox in the Amazon SageMaker console.

Instances

Instances details
FromJSON PropertyNameSuggestion Source # 
Instance details

Defined in Amazonka.SageMaker.Types.PropertyNameSuggestion

Methods

parseJSON :: Value -> Parser PropertyNameSuggestion #

parseJSONList :: Value -> Parser [PropertyNameSuggestion] #

Generic PropertyNameSuggestion Source # 
Instance details

Defined in Amazonka.SageMaker.Types.PropertyNameSuggestion

Associated Types

type Rep PropertyNameSuggestion :: Type -> Type #

Methods

from :: PropertyNameSuggestion -> Rep PropertyNameSuggestion x #

to :: Rep PropertyNameSuggestion x -> PropertyNameSuggestion #

Read PropertyNameSuggestion Source # 
Instance details

Defined in Amazonka.SageMaker.Types.PropertyNameSuggestion

Methods

readsPrec :: Int -> ReadS PropertyNameSuggestion #

readList :: ReadS [PropertyNameSuggestion] #

readPrec :: ReadPrec PropertyNameSuggestion #

readListPrec :: ReadPrec [PropertyNameSuggestion] #

Show PropertyNameSuggestion Source # 
Instance details

Defined in Amazonka.SageMaker.Types.PropertyNameSuggestion

Methods

showsPrec :: Int -> PropertyNameSuggestion -> ShowS #

show :: PropertyNameSuggestion -> String #

showList :: [PropertyNameSuggestion] -> ShowS #

NFData PropertyNameSuggestion Source # 
Instance details

Defined in Amazonka.SageMaker.Types.PropertyNameSuggestion

Methods

rnf :: PropertyNameSuggestion -> () #

Eq PropertyNameSuggestion Source # 
Instance details

Defined in Amazonka.SageMaker.Types.PropertyNameSuggestion

Methods

(==) :: PropertyNameSuggestion -> PropertyNameSuggestion -> Bool #

(/=) :: PropertyNameSuggestion -> PropertyNameSuggestion -> Bool #

Hashable PropertyNameSuggestion Source # 
Instance details

Defined in Amazonka.SageMaker.Types.PropertyNameSuggestion

Methods

hashWithSalt :: Int -> PropertyNameSuggestion -> Int #

hash :: PropertyNameSuggestion -> Int #

type Rep PropertyNameSuggestion Source # 
Instance details

Defined in Amazonka.SageMaker.Types.PropertyNameSuggestion

type Rep PropertyNameSuggestion = D1 ('MetaData "PropertyNameSuggestion" "Amazonka.SageMaker.Types.PropertyNameSuggestion" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "PropertyNameSuggestion'" 'PrefixI 'True) (S1 ('MetaSel ('Just "propertyName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))

newPropertyNameSuggestion :: PropertyNameSuggestion Source #

Create a value of PropertyNameSuggestion with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:propertyName:PropertyNameSuggestion', propertyNameSuggestion_propertyName - A suggested property name based on what you entered in the search textbox in the Amazon SageMaker console.

propertyNameSuggestion_propertyName :: Lens' PropertyNameSuggestion (Maybe Text) Source #

A suggested property name based on what you entered in the search textbox in the Amazon SageMaker console.

ProvisioningParameter

data ProvisioningParameter Source #

A key value pair used when you provision a project as a service catalog product. For information, see What is Amazon Web Services Service Catalog.

See: newProvisioningParameter smart constructor.

Constructors

ProvisioningParameter' 

Fields

Instances

Instances details
FromJSON ProvisioningParameter Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProvisioningParameter

Methods

parseJSON :: Value -> Parser ProvisioningParameter #

parseJSONList :: Value -> Parser [ProvisioningParameter] #

ToJSON ProvisioningParameter Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProvisioningParameter

Methods

toJSON :: ProvisioningParameter -> Value #

toEncoding :: ProvisioningParameter -> Encoding #

toJSONList :: [ProvisioningParameter] -> Value #

toEncodingList :: [ProvisioningParameter] -> Encoding #

Generic ProvisioningParameter Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProvisioningParameter

Associated Types

type Rep ProvisioningParameter :: Type -> Type #

Methods

from :: ProvisioningParameter -> Rep ProvisioningParameter x #

to :: Rep ProvisioningParameter x -> ProvisioningParameter #

Read ProvisioningParameter Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProvisioningParameter

Methods

readsPrec :: Int -> ReadS ProvisioningParameter #

readList :: ReadS [ProvisioningParameter] #

readPrec :: ReadPrec ProvisioningParameter #

readListPrec :: ReadPrec [ProvisioningParameter] #

Show ProvisioningParameter Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProvisioningParameter

Methods

showsPrec :: Int -> ProvisioningParameter -> ShowS #

show :: ProvisioningParameter -> String #

showList :: [ProvisioningParameter] -> ShowS #

NFData ProvisioningParameter Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProvisioningParameter

Methods

rnf :: ProvisioningParameter -> () #

Eq ProvisioningParameter Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProvisioningParameter

Methods

(==) :: ProvisioningParameter -> ProvisioningParameter -> Bool #

(/=) :: ProvisioningParameter -> ProvisioningParameter -> Bool #

Hashable ProvisioningParameter Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProvisioningParameter

Methods

hashWithSalt :: Int -> ProvisioningParameter -> Int #

hash :: ProvisioningParameter -> Int #

type Rep ProvisioningParameter Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ProvisioningParameter

type Rep ProvisioningParameter = D1 ('MetaData "ProvisioningParameter" "Amazonka.SageMaker.Types.ProvisioningParameter" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "ProvisioningParameter'" 'PrefixI 'True) (S1 ('MetaSel ('Just "key") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "value") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))

newProvisioningParameter :: ProvisioningParameter Source #

Create a value of ProvisioningParameter with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:key:ProvisioningParameter', provisioningParameter_key - The key that identifies a provisioning parameter.

$sel:value:ProvisioningParameter', provisioningParameter_value - The value of the provisioning parameter.

provisioningParameter_key :: Lens' ProvisioningParameter (Maybe Text) Source #

The key that identifies a provisioning parameter.

provisioningParameter_value :: Lens' ProvisioningParameter (Maybe Text) Source #

The value of the provisioning parameter.

PublicWorkforceTaskPrice

data PublicWorkforceTaskPrice Source #

Defines the amount of money paid to an Amazon Mechanical Turk worker for each task performed.

Use one of the following prices for bounding box tasks. Prices are in US dollars and should be based on the complexity of the task; the longer it takes in your initial testing, the more you should offer.

  • 0.036
  • 0.048
  • 0.060
  • 0.072
  • 0.120
  • 0.240
  • 0.360
  • 0.480
  • 0.600
  • 0.720
  • 0.840
  • 0.960
  • 1.080
  • 1.200

Use one of the following prices for image classification, text classification, and custom tasks. Prices are in US dollars.

  • 0.012
  • 0.024
  • 0.036
  • 0.048
  • 0.060
  • 0.072
  • 0.120
  • 0.240
  • 0.360
  • 0.480
  • 0.600
  • 0.720
  • 0.840
  • 0.960
  • 1.080
  • 1.200

Use one of the following prices for semantic segmentation tasks. Prices are in US dollars.

  • 0.840
  • 0.960
  • 1.080
  • 1.200

Use one of the following prices for Textract AnalyzeDocument Important Form Key Amazon Augmented AI review tasks. Prices are in US dollars.

  • 2.400
  • 2.280
  • 2.160
  • 2.040
  • 1.920
  • 1.800
  • 1.680
  • 1.560
  • 1.440
  • 1.320
  • 1.200
  • 1.080
  • 0.960
  • 0.840
  • 0.720
  • 0.600
  • 0.480
  • 0.360
  • 0.240
  • 0.120
  • 0.072
  • 0.060
  • 0.048
  • 0.036
  • 0.024
  • 0.012

Use one of the following prices for Rekognition DetectModerationLabels Amazon Augmented AI review tasks. Prices are in US dollars.

  • 1.200
  • 1.080
  • 0.960
  • 0.840
  • 0.720
  • 0.600
  • 0.480
  • 0.360
  • 0.240
  • 0.120
  • 0.072
  • 0.060
  • 0.048
  • 0.036
  • 0.024
  • 0.012

Use one of the following prices for Amazon Augmented AI custom human review tasks. Prices are in US dollars.

  • 1.200
  • 1.080
  • 0.960
  • 0.840
  • 0.720
  • 0.600
  • 0.480
  • 0.360
  • 0.240
  • 0.120
  • 0.072
  • 0.060
  • 0.048
  • 0.036
  • 0.024
  • 0.012

See: newPublicWorkforceTaskPrice smart constructor.

Constructors

PublicWorkforceTaskPrice' 

Fields

  • amountInUsd :: Maybe USD

    Defines the amount of money paid to an Amazon Mechanical Turk worker in United States dollars.

Instances

Instances details
FromJSON PublicWorkforceTaskPrice Source # 
Instance details

Defined in Amazonka.SageMaker.Types.PublicWorkforceTaskPrice

Methods

parseJSON :: Value -> Parser PublicWorkforceTaskPrice #

parseJSONList :: Value -> Parser [PublicWorkforceTaskPrice] #

ToJSON PublicWorkforceTaskPrice Source # 
Instance details

Defined in Amazonka.SageMaker.Types.PublicWorkforceTaskPrice

Methods

toJSON :: PublicWorkforceTaskPrice -> Value #

toEncoding :: PublicWorkforceTaskPrice -> Encoding #

toJSONList :: [PublicWorkforceTaskPrice] -> Value #

toEncodingList :: [PublicWorkforceTaskPrice] -> Encoding #

Generic PublicWorkforceTaskPrice Source # 
Instance details

Defined in Amazonka.SageMaker.Types.PublicWorkforceTaskPrice

Associated Types

type Rep PublicWorkforceTaskPrice :: Type -> Type #

Methods

from :: PublicWorkforceTaskPrice -> Rep PublicWorkforceTaskPrice x #

to :: Rep PublicWorkforceTaskPrice x -> PublicWorkforceTaskPrice #

Read PublicWorkforceTaskPrice Source # 
Instance details

Defined in Amazonka.SageMaker.Types.PublicWorkforceTaskPrice

Methods

readsPrec :: Int -> ReadS PublicWorkforceTaskPrice #

readList :: ReadS [PublicWorkforceTaskPrice] #

readPrec :: ReadPrec PublicWorkforceTaskPrice #

readListPrec :: ReadPrec [PublicWorkforceTaskPrice] #

Show PublicWorkforceTaskPrice Source # 
Instance details

Defined in Amazonka.SageMaker.Types.PublicWorkforceTaskPrice

Methods

showsPrec :: Int -> PublicWorkforceTaskPrice -> ShowS #

show :: PublicWorkforceTaskPrice -> String #

showList :: [PublicWorkforceTaskPrice] -> ShowS #

NFData PublicWorkforceTaskPrice Source # 
Instance details

Defined in Amazonka.SageMaker.Types.PublicWorkforceTaskPrice

Methods

rnf :: PublicWorkforceTaskPrice -> () #

Eq PublicWorkforceTaskPrice Source # 
Instance details

Defined in Amazonka.SageMaker.Types.PublicWorkforceTaskPrice

Methods

(==) :: PublicWorkforceTaskPrice -> PublicWorkforceTaskPrice -> Bool #

(/=) :: PublicWorkforceTaskPrice -> PublicWorkforceTaskPrice -> Bool #

Hashable PublicWorkforceTaskPrice Source # 
Instance details

Defined in Amazonka.SageMaker.Types.PublicWorkforceTaskPrice

Methods

hashWithSalt :: Int -> PublicWorkforceTaskPrice -> Int #

hash :: PublicWorkforceTaskPrice -> Int #

type Rep PublicWorkforceTaskPrice Source # 
Instance details

Defined in Amazonka.SageMaker.Types.PublicWorkforceTaskPrice

type Rep PublicWorkforceTaskPrice = D1 ('MetaData "PublicWorkforceTaskPrice" "Amazonka.SageMaker.Types.PublicWorkforceTaskPrice" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "PublicWorkforceTaskPrice'" 'PrefixI 'True) (S1 ('MetaSel ('Just "amountInUsd") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe USD))))

newPublicWorkforceTaskPrice :: PublicWorkforceTaskPrice Source #

Create a value of PublicWorkforceTaskPrice with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:amountInUsd:PublicWorkforceTaskPrice', publicWorkforceTaskPrice_amountInUsd - Defines the amount of money paid to an Amazon Mechanical Turk worker in United States dollars.

publicWorkforceTaskPrice_amountInUsd :: Lens' PublicWorkforceTaskPrice (Maybe USD) Source #

Defines the amount of money paid to an Amazon Mechanical Turk worker in United States dollars.

QualityCheckStepMetadata

data QualityCheckStepMetadata Source #

Container for the metadata for a Quality check step. For more information, see the topic on QualityCheck step in the Amazon SageMaker Developer Guide.

See: newQualityCheckStepMetadata smart constructor.

Constructors

QualityCheckStepMetadata' 

Fields

Instances

Instances details
FromJSON QualityCheckStepMetadata Source # 
Instance details

Defined in Amazonka.SageMaker.Types.QualityCheckStepMetadata

Methods

parseJSON :: Value -> Parser QualityCheckStepMetadata #

parseJSONList :: Value -> Parser [QualityCheckStepMetadata] #

Generic QualityCheckStepMetadata Source # 
Instance details

Defined in Amazonka.SageMaker.Types.QualityCheckStepMetadata

Associated Types

type Rep QualityCheckStepMetadata :: Type -> Type #

Methods

from :: QualityCheckStepMetadata -> Rep QualityCheckStepMetadata x #

to :: Rep QualityCheckStepMetadata x -> QualityCheckStepMetadata #

Read QualityCheckStepMetadata Source # 
Instance details

Defined in Amazonka.SageMaker.Types.QualityCheckStepMetadata

Methods

readsPrec :: Int -> ReadS QualityCheckStepMetadata #

readList :: ReadS [QualityCheckStepMetadata] #

readPrec :: ReadPrec QualityCheckStepMetadata #

readListPrec :: ReadPrec [QualityCheckStepMetadata] #

Show QualityCheckStepMetadata Source # 
Instance details

Defined in Amazonka.SageMaker.Types.QualityCheckStepMetadata

Methods

showsPrec :: Int -> QualityCheckStepMetadata -> ShowS #

show :: QualityCheckStepMetadata -> String #

showList :: [QualityCheckStepMetadata] -> ShowS #

NFData QualityCheckStepMetadata Source # 
Instance details

Defined in Amazonka.SageMaker.Types.QualityCheckStepMetadata

Methods

rnf :: QualityCheckStepMetadata -> () #

Eq QualityCheckStepMetadata Source # 
Instance details

Defined in Amazonka.SageMaker.Types.QualityCheckStepMetadata

Methods

(==) :: QualityCheckStepMetadata -> QualityCheckStepMetadata -> Bool #

(/=) :: QualityCheckStepMetadata -> QualityCheckStepMetadata -> Bool #

Hashable QualityCheckStepMetadata Source # 
Instance details

Defined in Amazonka.SageMaker.Types.QualityCheckStepMetadata

Methods

hashWithSalt :: Int -> QualityCheckStepMetadata -> Int #

hash :: QualityCheckStepMetadata -> Int #

type Rep QualityCheckStepMetadata Source # 
Instance details

Defined in Amazonka.SageMaker.Types.QualityCheckStepMetadata

type Rep QualityCheckStepMetadata = D1 ('MetaData "QualityCheckStepMetadata" "Amazonka.SageMaker.Types.QualityCheckStepMetadata" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "QualityCheckStepMetadata'" 'PrefixI 'True) (((S1 ('MetaSel ('Just "baselineUsedForDriftCheckConstraints") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "baselineUsedForDriftCheckStatistics") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))) :*: (S1 ('MetaSel ('Just "calculatedBaselineConstraints") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: (S1 ('MetaSel ('Just "calculatedBaselineStatistics") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "checkJobArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))) :*: ((S1 ('MetaSel ('Just "checkType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "modelPackageGroupName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))) :*: (S1 ('MetaSel ('Just "registerNewBaseline") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Bool)) :*: (S1 ('MetaSel ('Just "skipCheck") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Bool)) :*: S1 ('MetaSel ('Just "violationReport") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))))))

newQualityCheckStepMetadata :: QualityCheckStepMetadata Source #

Create a value of QualityCheckStepMetadata with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:baselineUsedForDriftCheckConstraints:QualityCheckStepMetadata', qualityCheckStepMetadata_baselineUsedForDriftCheckConstraints - The Amazon S3 URI of the baseline constraints file used for the drift check.

$sel:baselineUsedForDriftCheckStatistics:QualityCheckStepMetadata', qualityCheckStepMetadata_baselineUsedForDriftCheckStatistics - The Amazon S3 URI of the baseline statistics file used for the drift check.

$sel:calculatedBaselineConstraints:QualityCheckStepMetadata', qualityCheckStepMetadata_calculatedBaselineConstraints - The Amazon S3 URI of the newly calculated baseline constraints file.

$sel:calculatedBaselineStatistics:QualityCheckStepMetadata', qualityCheckStepMetadata_calculatedBaselineStatistics - The Amazon S3 URI of the newly calculated baseline statistics file.

$sel:checkJobArn:QualityCheckStepMetadata', qualityCheckStepMetadata_checkJobArn - The Amazon Resource Name (ARN) of the Quality check processing job that was run by this step execution.

$sel:checkType:QualityCheckStepMetadata', qualityCheckStepMetadata_checkType - The type of the Quality check step.

$sel:modelPackageGroupName:QualityCheckStepMetadata', qualityCheckStepMetadata_modelPackageGroupName - The model package group name.

$sel:registerNewBaseline:QualityCheckStepMetadata', qualityCheckStepMetadata_registerNewBaseline - This flag indicates if a newly calculated baseline can be accessed through step properties BaselineUsedForDriftCheckConstraints and BaselineUsedForDriftCheckStatistics. If it is set to False, the previous baseline of the configured check type must also be available. These can be accessed through the BaselineUsedForDriftCheckConstraints and BaselineUsedForDriftCheckStatistics properties.

$sel:skipCheck:QualityCheckStepMetadata', qualityCheckStepMetadata_skipCheck - This flag indicates if the drift check against the previous baseline will be skipped or not. If it is set to False, the previous baseline of the configured check type must be available.

$sel:violationReport:QualityCheckStepMetadata', qualityCheckStepMetadata_violationReport - The Amazon S3 URI of violation report if violations are detected.

qualityCheckStepMetadata_baselineUsedForDriftCheckConstraints :: Lens' QualityCheckStepMetadata (Maybe Text) Source #

The Amazon S3 URI of the baseline constraints file used for the drift check.

qualityCheckStepMetadata_baselineUsedForDriftCheckStatistics :: Lens' QualityCheckStepMetadata (Maybe Text) Source #

The Amazon S3 URI of the baseline statistics file used for the drift check.

qualityCheckStepMetadata_calculatedBaselineConstraints :: Lens' QualityCheckStepMetadata (Maybe Text) Source #

The Amazon S3 URI of the newly calculated baseline constraints file.

qualityCheckStepMetadata_calculatedBaselineStatistics :: Lens' QualityCheckStepMetadata (Maybe Text) Source #

The Amazon S3 URI of the newly calculated baseline statistics file.

qualityCheckStepMetadata_checkJobArn :: Lens' QualityCheckStepMetadata (Maybe Text) Source #

The Amazon Resource Name (ARN) of the Quality check processing job that was run by this step execution.

qualityCheckStepMetadata_checkType :: Lens' QualityCheckStepMetadata (Maybe Text) Source #

The type of the Quality check step.

qualityCheckStepMetadata_modelPackageGroupName :: Lens' QualityCheckStepMetadata (Maybe Text) Source #

The model package group name.

qualityCheckStepMetadata_registerNewBaseline :: Lens' QualityCheckStepMetadata (Maybe Bool) Source #

This flag indicates if a newly calculated baseline can be accessed through step properties BaselineUsedForDriftCheckConstraints and BaselineUsedForDriftCheckStatistics. If it is set to False, the previous baseline of the configured check type must also be available. These can be accessed through the BaselineUsedForDriftCheckConstraints and BaselineUsedForDriftCheckStatistics properties.

qualityCheckStepMetadata_skipCheck :: Lens' QualityCheckStepMetadata (Maybe Bool) Source #

This flag indicates if the drift check against the previous baseline will be skipped or not. If it is set to False, the previous baseline of the configured check type must be available.

qualityCheckStepMetadata_violationReport :: Lens' QualityCheckStepMetadata (Maybe Text) Source #

The Amazon S3 URI of violation report if violations are detected.

QueryFilters

data QueryFilters Source #

A set of filters to narrow the set of lineage entities connected to the StartArn(s) returned by the QueryLineage API action.

See: newQueryFilters smart constructor.

Constructors

QueryFilters' 

Fields

  • createdAfter :: Maybe POSIX

    Filter the lineage entities connected to the StartArn(s) after the create date.

  • createdBefore :: Maybe POSIX

    Filter the lineage entities connected to the StartArn(s) by created date.

  • lineageTypes :: Maybe [LineageType]

    Filter the lineage entities connected to the StartArn(s) by the type of the lineage entity.

  • modifiedAfter :: Maybe POSIX

    Filter the lineage entities connected to the StartArn(s) after the last modified date.

  • modifiedBefore :: Maybe POSIX

    Filter the lineage entities connected to the StartArn(s) before the last modified date.

  • properties :: Maybe (HashMap Text Text)

    Filter the lineage entities connected to the StartArn(s) by a set if property key value pairs. If multiple pairs are provided, an entity is included in the results if it matches any of the provided pairs.

  • types :: Maybe [Text]

    Filter the lineage entities connected to the StartArn by type. For example: DataSet, Model, Endpoint, or ModelDeployment.

Instances

Instances details
ToJSON QueryFilters Source # 
Instance details

Defined in Amazonka.SageMaker.Types.QueryFilters

Methods

toJSON :: QueryFilters -> Value #

toEncoding :: QueryFilters -> Encoding #

toJSONList :: [QueryFilters] -> Value #

toEncodingList :: [QueryFilters] -> Encoding #

Generic QueryFilters Source # 
Instance details

Defined in Amazonka.SageMaker.Types.QueryFilters

Associated Types

type Rep QueryFilters :: Type -> Type #

Methods

from :: QueryFilters -> Rep QueryFilters x #

to :: Rep QueryFilters x -> QueryFilters #

Read QueryFilters Source # 
Instance details

Defined in Amazonka.SageMaker.Types.QueryFilters

Methods

readsPrec :: Int -> ReadS QueryFilters #

readList :: ReadS [QueryFilters] #

readPrec :: ReadPrec QueryFilters #

readListPrec :: ReadPrec [QueryFilters] #

Show QueryFilters Source # 
Instance details

Defined in Amazonka.SageMaker.Types.QueryFilters

Methods

showsPrec :: Int -> QueryFilters -> ShowS #

show :: QueryFilters -> String #

showList :: [QueryFilters] -> ShowS #

NFData QueryFilters Source # 
Instance details

Defined in Amazonka.SageMaker.Types.QueryFilters

Methods

rnf :: QueryFilters -> () #

Eq QueryFilters Source # 
Instance details

Defined in Amazonka.SageMaker.Types.QueryFilters

Methods

(==) :: QueryFilters -> QueryFilters -> Bool #

(/=) :: QueryFilters -> QueryFilters -> Bool #

Hashable QueryFilters Source # 
Instance details

Defined in Amazonka.SageMaker.Types.QueryFilters

Methods

hashWithSalt :: Int -> QueryFilters -> Int #

hash :: QueryFilters -> Int #

type Rep QueryFilters Source # 
Instance details

Defined in Amazonka.SageMaker.Types.QueryFilters

type Rep QueryFilters = D1 ('MetaData "QueryFilters" "Amazonka.SageMaker.Types.QueryFilters" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "QueryFilters'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "createdAfter") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :*: (S1 ('MetaSel ('Just "createdBefore") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :*: S1 ('MetaSel ('Just "lineageTypes") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [LineageType])))) :*: ((S1 ('MetaSel ('Just "modifiedAfter") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :*: S1 ('MetaSel ('Just "modifiedBefore") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX))) :*: (S1 ('MetaSel ('Just "properties") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe (HashMap Text Text))) :*: S1 ('MetaSel ('Just "types") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [Text]))))))

newQueryFilters :: QueryFilters Source #

Create a value of QueryFilters with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:createdAfter:QueryFilters', queryFilters_createdAfter - Filter the lineage entities connected to the StartArn(s) after the create date.

$sel:createdBefore:QueryFilters', queryFilters_createdBefore - Filter the lineage entities connected to the StartArn(s) by created date.

$sel:lineageTypes:QueryFilters', queryFilters_lineageTypes - Filter the lineage entities connected to the StartArn(s) by the type of the lineage entity.

$sel:modifiedAfter:QueryFilters', queryFilters_modifiedAfter - Filter the lineage entities connected to the StartArn(s) after the last modified date.

$sel:modifiedBefore:QueryFilters', queryFilters_modifiedBefore - Filter the lineage entities connected to the StartArn(s) before the last modified date.

$sel:properties:QueryFilters', queryFilters_properties - Filter the lineage entities connected to the StartArn(s) by a set if property key value pairs. If multiple pairs are provided, an entity is included in the results if it matches any of the provided pairs.

$sel:types:QueryFilters', queryFilters_types - Filter the lineage entities connected to the StartArn by type. For example: DataSet, Model, Endpoint, or ModelDeployment.

queryFilters_createdAfter :: Lens' QueryFilters (Maybe UTCTime) Source #

Filter the lineage entities connected to the StartArn(s) after the create date.

queryFilters_createdBefore :: Lens' QueryFilters (Maybe UTCTime) Source #

Filter the lineage entities connected to the StartArn(s) by created date.

queryFilters_lineageTypes :: Lens' QueryFilters (Maybe [LineageType]) Source #

Filter the lineage entities connected to the StartArn(s) by the type of the lineage entity.

queryFilters_modifiedAfter :: Lens' QueryFilters (Maybe UTCTime) Source #

Filter the lineage entities connected to the StartArn(s) after the last modified date.

queryFilters_modifiedBefore :: Lens' QueryFilters (Maybe UTCTime) Source #

Filter the lineage entities connected to the StartArn(s) before the last modified date.

queryFilters_properties :: Lens' QueryFilters (Maybe (HashMap Text Text)) Source #

Filter the lineage entities connected to the StartArn(s) by a set if property key value pairs. If multiple pairs are provided, an entity is included in the results if it matches any of the provided pairs.

queryFilters_types :: Lens' QueryFilters (Maybe [Text]) Source #

Filter the lineage entities connected to the StartArn by type. For example: DataSet, Model, Endpoint, or ModelDeployment.

RSessionAppSettings

data RSessionAppSettings Source #

A collection of settings that apply to an RSessionGateway app.

See: newRSessionAppSettings smart constructor.

Constructors

RSessionAppSettings' 

Fields

Instances

Instances details
FromJSON RSessionAppSettings Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RSessionAppSettings

Methods

parseJSON :: Value -> Parser RSessionAppSettings #

parseJSONList :: Value -> Parser [RSessionAppSettings] #

ToJSON RSessionAppSettings Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RSessionAppSettings

Methods

toJSON :: RSessionAppSettings -> Value #

toEncoding :: RSessionAppSettings -> Encoding #

toJSONList :: [RSessionAppSettings] -> Value #

toEncodingList :: [RSessionAppSettings] -> Encoding #

Generic RSessionAppSettings Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RSessionAppSettings

Associated Types

type Rep RSessionAppSettings :: Type -> Type #

Methods

from :: RSessionAppSettings -> Rep RSessionAppSettings x #

to :: Rep RSessionAppSettings x -> RSessionAppSettings #

Read RSessionAppSettings Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RSessionAppSettings

Methods

readsPrec :: Int -> ReadS RSessionAppSettings #

readList :: ReadS [RSessionAppSettings] #

readPrec :: ReadPrec RSessionAppSettings #

readListPrec :: ReadPrec [RSessionAppSettings] #

Show RSessionAppSettings Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RSessionAppSettings

Methods

showsPrec :: Int -> RSessionAppSettings -> ShowS #

show :: RSessionAppSettings -> String #

showList :: [RSessionAppSettings] -> ShowS #

NFData RSessionAppSettings Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RSessionAppSettings

Methods

rnf :: RSessionAppSettings -> () #

Eq RSessionAppSettings Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RSessionAppSettings

Methods

(==) :: RSessionAppSettings -> RSessionAppSettings -> Bool #

(/=) :: RSessionAppSettings -> RSessionAppSettings -> Bool #

Hashable RSessionAppSettings Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RSessionAppSettings

Methods

hashWithSalt :: Int -> RSessionAppSettings -> Int #

hash :: RSessionAppSettings -> Int #

type Rep RSessionAppSettings Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RSessionAppSettings

type Rep RSessionAppSettings = D1 ('MetaData "RSessionAppSettings" "Amazonka.SageMaker.Types.RSessionAppSettings" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "RSessionAppSettings'" 'PrefixI 'True) (S1 ('MetaSel ('Just "customImages") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [CustomImage])) :*: S1 ('MetaSel ('Just "defaultResourceSpec") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ResourceSpec))))

newRSessionAppSettings :: RSessionAppSettings Source #

Create a value of RSessionAppSettings with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:customImages:RSessionAppSettings', rSessionAppSettings_customImages - A list of custom SageMaker images that are configured to run as a RSession app.

$sel:defaultResourceSpec:RSessionAppSettings', rSessionAppSettings_defaultResourceSpec - Undocumented member.

rSessionAppSettings_customImages :: Lens' RSessionAppSettings (Maybe [CustomImage]) Source #

A list of custom SageMaker images that are configured to run as a RSession app.

rSessionAppSettings_defaultResourceSpec :: Lens' RSessionAppSettings (Maybe ResourceSpec) Source #

Undocumented member.

RStudioServerProAppSettings

data RStudioServerProAppSettings Source #

A collection of settings that configure user interaction with the RStudioServerPro app. RStudioServerProAppSettings cannot be updated. The RStudioServerPro app must be deleted and a new one created to make any changes.

See: newRStudioServerProAppSettings smart constructor.

Constructors

RStudioServerProAppSettings' 

Fields

Instances

Instances details
FromJSON RStudioServerProAppSettings Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RStudioServerProAppSettings

Methods

parseJSON :: Value -> Parser RStudioServerProAppSettings #

parseJSONList :: Value -> Parser [RStudioServerProAppSettings] #

ToJSON RStudioServerProAppSettings Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RStudioServerProAppSettings

Methods

toJSON :: RStudioServerProAppSettings -> Value #

toEncoding :: RStudioServerProAppSettings -> Encoding #

toJSONList :: [RStudioServerProAppSettings] -> Value #

toEncodingList :: [RStudioServerProAppSettings] -> Encoding #

Generic RStudioServerProAppSettings Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RStudioServerProAppSettings

Associated Types

type Rep RStudioServerProAppSettings :: Type -> Type #

Methods

from :: RStudioServerProAppSettings -> Rep RStudioServerProAppSettings x #

to :: Rep RStudioServerProAppSettings x -> RStudioServerProAppSettings #

Read RStudioServerProAppSettings Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RStudioServerProAppSettings

Methods

readsPrec :: Int -> ReadS RStudioServerProAppSettings #

readList :: ReadS [RStudioServerProAppSettings] #

readPrec :: ReadPrec RStudioServerProAppSettings #

readListPrec :: ReadPrec [RStudioServerProAppSettings] #

Show RStudioServerProAppSettings Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RStudioServerProAppSettings

Methods

showsPrec :: Int -> RStudioServerProAppSettings -> ShowS #

show :: RStudioServerProAppSettings -> String #

showList :: [RStudioServerProAppSettings] -> ShowS #

NFData RStudioServerProAppSettings Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RStudioServerProAppSettings

Methods

rnf :: RStudioServerProAppSettings -> () #

Eq RStudioServerProAppSettings Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RStudioServerProAppSettings

Methods

(==) :: RStudioServerProAppSettings -> RStudioServerProAppSettings -> Bool #

(/=) :: RStudioServerProAppSettings -> RStudioServerProAppSettings -> Bool #

Hashable RStudioServerProAppSettings Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RStudioServerProAppSettings

Methods

hashWithSalt :: Int -> RStudioServerProAppSettings -> Int #

hash :: RStudioServerProAppSettings -> Int #

type Rep RStudioServerProAppSettings Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RStudioServerProAppSettings

type Rep RStudioServerProAppSettings = D1 ('MetaData "RStudioServerProAppSettings" "Amazonka.SageMaker.Types.RStudioServerProAppSettings" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "RStudioServerProAppSettings'" 'PrefixI 'True) (S1 ('MetaSel ('Just "accessStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe RStudioServerProAccessStatus)) :*: S1 ('MetaSel ('Just "userGroup") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe RStudioServerProUserGroup))))

newRStudioServerProAppSettings :: RStudioServerProAppSettings Source #

Create a value of RStudioServerProAppSettings with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:accessStatus:RStudioServerProAppSettings', rStudioServerProAppSettings_accessStatus - Indicates whether the current user has access to the RStudioServerPro app.

$sel:userGroup:RStudioServerProAppSettings', rStudioServerProAppSettings_userGroup - The level of permissions that the user has within the RStudioServerPro app. This value defaults to `User`. The `Admin` value allows the user access to the RStudio Administrative Dashboard.

rStudioServerProAppSettings_accessStatus :: Lens' RStudioServerProAppSettings (Maybe RStudioServerProAccessStatus) Source #

Indicates whether the current user has access to the RStudioServerPro app.

rStudioServerProAppSettings_userGroup :: Lens' RStudioServerProAppSettings (Maybe RStudioServerProUserGroup) Source #

The level of permissions that the user has within the RStudioServerPro app. This value defaults to `User`. The `Admin` value allows the user access to the RStudio Administrative Dashboard.

RStudioServerProDomainSettings

data RStudioServerProDomainSettings Source #

A collection of settings that configure the RStudioServerPro Domain-level app.

See: newRStudioServerProDomainSettings smart constructor.

Constructors

RStudioServerProDomainSettings' 

Fields

Instances

Instances details
FromJSON RStudioServerProDomainSettings Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RStudioServerProDomainSettings

Methods

parseJSON :: Value -> Parser RStudioServerProDomainSettings #

parseJSONList :: Value -> Parser [RStudioServerProDomainSettings] #

ToJSON RStudioServerProDomainSettings Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RStudioServerProDomainSettings

Methods

toJSON :: RStudioServerProDomainSettings -> Value #

toEncoding :: RStudioServerProDomainSettings -> Encoding #

toJSONList :: [RStudioServerProDomainSettings] -> Value #

toEncodingList :: [RStudioServerProDomainSettings] -> Encoding #

Generic RStudioServerProDomainSettings Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RStudioServerProDomainSettings

Associated Types

type Rep RStudioServerProDomainSettings :: Type -> Type #

Methods

from :: RStudioServerProDomainSettings -> Rep RStudioServerProDomainSettings x #

to :: Rep RStudioServerProDomainSettings x -> RStudioServerProDomainSettings #

Read RStudioServerProDomainSettings Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RStudioServerProDomainSettings

Methods

readsPrec :: Int -> ReadS RStudioServerProDomainSettings #

readList :: ReadS [RStudioServerProDomainSettings] #

readPrec :: ReadPrec RStudioServerProDomainSettings #

readListPrec :: ReadPrec [RStudioServerProDomainSettings] #

Show RStudioServerProDomainSettings Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RStudioServerProDomainSettings

Methods

showsPrec :: Int -> RStudioServerProDomainSettings -> ShowS #

show :: RStudioServerProDomainSettings -> String #

showList :: [RStudioServerProDomainSettings] -> ShowS #

NFData RStudioServerProDomainSettings Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RStudioServerProDomainSettings

Methods

rnf :: RStudioServerProDomainSettings -> () #

Eq RStudioServerProDomainSettings Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RStudioServerProDomainSettings

Methods

(==) :: RStudioServerProDomainSettings -> RStudioServerProDomainSettings -> Bool #

(/=) :: RStudioServerProDomainSettings -> RStudioServerProDomainSettings -> Bool #

Hashable RStudioServerProDomainSettings Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RStudioServerProDomainSettings

Methods

hashWithSalt :: Int -> RStudioServerProDomainSettings -> Int #

hash :: RStudioServerProDomainSettings -> Int #

type Rep RStudioServerProDomainSettings Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RStudioServerProDomainSettings

type Rep RStudioServerProDomainSettings = D1 ('MetaData "RStudioServerProDomainSettings" "Amazonka.SageMaker.Types.RStudioServerProDomainSettings" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "RStudioServerProDomainSettings'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "defaultResourceSpec") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ResourceSpec)) :*: S1 ('MetaSel ('Just "rStudioConnectUrl") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))) :*: (S1 ('MetaSel ('Just "rStudioPackageManagerUrl") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "domainExecutionRoleArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text))))

newRStudioServerProDomainSettings Source #

Arguments

:: Text

$sel:domainExecutionRoleArn:RStudioServerProDomainSettings'

-> RStudioServerProDomainSettings 

Create a value of RStudioServerProDomainSettings with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:defaultResourceSpec:RStudioServerProDomainSettings', rStudioServerProDomainSettings_defaultResourceSpec - Undocumented member.

$sel:rStudioConnectUrl:RStudioServerProDomainSettings', rStudioServerProDomainSettings_rStudioConnectUrl - A URL pointing to an RStudio Connect server.

$sel:rStudioPackageManagerUrl:RStudioServerProDomainSettings', rStudioServerProDomainSettings_rStudioPackageManagerUrl - A URL pointing to an RStudio Package Manager server.

$sel:domainExecutionRoleArn:RStudioServerProDomainSettings', rStudioServerProDomainSettings_domainExecutionRoleArn - The ARN of the execution role for the RStudioServerPro Domain-level app.

rStudioServerProDomainSettings_defaultResourceSpec :: Lens' RStudioServerProDomainSettings (Maybe ResourceSpec) Source #

Undocumented member.

rStudioServerProDomainSettings_rStudioConnectUrl :: Lens' RStudioServerProDomainSettings (Maybe Text) Source #

A URL pointing to an RStudio Connect server.

rStudioServerProDomainSettings_rStudioPackageManagerUrl :: Lens' RStudioServerProDomainSettings (Maybe Text) Source #

A URL pointing to an RStudio Package Manager server.

rStudioServerProDomainSettings_domainExecutionRoleArn :: Lens' RStudioServerProDomainSettings Text Source #

The ARN of the execution role for the RStudioServerPro Domain-level app.

RStudioServerProDomainSettingsForUpdate

data RStudioServerProDomainSettingsForUpdate Source #

A collection of settings that update the current configuration for the RStudioServerPro Domain-level app.

See: newRStudioServerProDomainSettingsForUpdate smart constructor.

Constructors

RStudioServerProDomainSettingsForUpdate' 

Fields

Instances

Instances details
ToJSON RStudioServerProDomainSettingsForUpdate Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RStudioServerProDomainSettingsForUpdate

Methods

toJSON :: RStudioServerProDomainSettingsForUpdate -> Value #

toEncoding :: RStudioServerProDomainSettingsForUpdate -> Encoding #

toJSONList :: [RStudioServerProDomainSettingsForUpdate] -> Value #

toEncodingList :: [RStudioServerProDomainSettingsForUpdate] -> Encoding #

Generic RStudioServerProDomainSettingsForUpdate Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RStudioServerProDomainSettingsForUpdate

Associated Types

type Rep RStudioServerProDomainSettingsForUpdate :: Type -> Type #

Methods

from :: RStudioServerProDomainSettingsForUpdate -> Rep RStudioServerProDomainSettingsForUpdate x #

to :: Rep RStudioServerProDomainSettingsForUpdate x -> RStudioServerProDomainSettingsForUpdate #

Read RStudioServerProDomainSettingsForUpdate Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RStudioServerProDomainSettingsForUpdate

Methods

readsPrec :: Int -> ReadS RStudioServerProDomainSettingsForUpdate #

readList :: ReadS [RStudioServerProDomainSettingsForUpdate] #

readPrec :: ReadPrec RStudioServerProDomainSettingsForUpdate #

readListPrec :: ReadPrec [RStudioServerProDomainSettingsForUpdate] #

Show RStudioServerProDomainSettingsForUpdate Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RStudioServerProDomainSettingsForUpdate

Methods

showsPrec :: Int -> RStudioServerProDomainSettingsForUpdate -> ShowS #

show :: RStudioServerProDomainSettingsForUpdate -> String #

showList :: [RStudioServerProDomainSettingsForUpdate] -> ShowS #

NFData RStudioServerProDomainSettingsForUpdate Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RStudioServerProDomainSettingsForUpdate

Methods

rnf :: RStudioServerProDomainSettingsForUpdate -> () #

Eq RStudioServerProDomainSettingsForUpdate Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RStudioServerProDomainSettingsForUpdate

Methods

(==) :: RStudioServerProDomainSettingsForUpdate -> RStudioServerProDomainSettingsForUpdate -> Bool #

(/=) :: RStudioServerProDomainSettingsForUpdate -> RStudioServerProDomainSettingsForUpdate -> Bool #

Hashable RStudioServerProDomainSettingsForUpdate Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RStudioServerProDomainSettingsForUpdate

Methods

hashWithSalt :: Int -> RStudioServerProDomainSettingsForUpdate -> Int #

hash :: RStudioServerProDomainSettingsForUpdate -> Int #

type Rep RStudioServerProDomainSettingsForUpdate Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RStudioServerProDomainSettingsForUpdate

type Rep RStudioServerProDomainSettingsForUpdate = D1 ('MetaData "RStudioServerProDomainSettingsForUpdate" "Amazonka.SageMaker.Types.RStudioServerProDomainSettingsForUpdate" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "RStudioServerProDomainSettingsForUpdate'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "defaultResourceSpec") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ResourceSpec)) :*: S1 ('MetaSel ('Just "rStudioConnectUrl") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))) :*: (S1 ('MetaSel ('Just "rStudioPackageManagerUrl") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "domainExecutionRoleArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text))))

newRStudioServerProDomainSettingsForUpdate Source #

Arguments

:: Text

$sel:domainExecutionRoleArn:RStudioServerProDomainSettingsForUpdate'

-> RStudioServerProDomainSettingsForUpdate 

Create a value of RStudioServerProDomainSettingsForUpdate with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:defaultResourceSpec:RStudioServerProDomainSettingsForUpdate', rStudioServerProDomainSettingsForUpdate_defaultResourceSpec - Undocumented member.

$sel:rStudioConnectUrl:RStudioServerProDomainSettingsForUpdate', rStudioServerProDomainSettingsForUpdate_rStudioConnectUrl - A URL pointing to an RStudio Connect server.

$sel:rStudioPackageManagerUrl:RStudioServerProDomainSettingsForUpdate', rStudioServerProDomainSettingsForUpdate_rStudioPackageManagerUrl - A URL pointing to an RStudio Package Manager server.

$sel:domainExecutionRoleArn:RStudioServerProDomainSettingsForUpdate', rStudioServerProDomainSettingsForUpdate_domainExecutionRoleArn - The execution role for the RStudioServerPro Domain-level app.

rStudioServerProDomainSettingsForUpdate_defaultResourceSpec :: Lens' RStudioServerProDomainSettingsForUpdate (Maybe ResourceSpec) Source #

Undocumented member.

rStudioServerProDomainSettingsForUpdate_rStudioConnectUrl :: Lens' RStudioServerProDomainSettingsForUpdate (Maybe Text) Source #

A URL pointing to an RStudio Connect server.

rStudioServerProDomainSettingsForUpdate_rStudioPackageManagerUrl :: Lens' RStudioServerProDomainSettingsForUpdate (Maybe Text) Source #

A URL pointing to an RStudio Package Manager server.

rStudioServerProDomainSettingsForUpdate_domainExecutionRoleArn :: Lens' RStudioServerProDomainSettingsForUpdate Text Source #

The execution role for the RStudioServerPro Domain-level app.

RealTimeInferenceConfig

data RealTimeInferenceConfig Source #

The infrastructure configuration for deploying the model to a real-time inference endpoint.

See: newRealTimeInferenceConfig smart constructor.

Constructors

RealTimeInferenceConfig' 

Fields

Instances

Instances details
FromJSON RealTimeInferenceConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RealTimeInferenceConfig

Methods

parseJSON :: Value -> Parser RealTimeInferenceConfig #

parseJSONList :: Value -> Parser [RealTimeInferenceConfig] #

ToJSON RealTimeInferenceConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RealTimeInferenceConfig

Methods

toJSON :: RealTimeInferenceConfig -> Value #

toEncoding :: RealTimeInferenceConfig -> Encoding #

toJSONList :: [RealTimeInferenceConfig] -> Value #

toEncodingList :: [RealTimeInferenceConfig] -> Encoding #

Generic RealTimeInferenceConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RealTimeInferenceConfig

Associated Types

type Rep RealTimeInferenceConfig :: Type -> Type #

Methods

from :: RealTimeInferenceConfig -> Rep RealTimeInferenceConfig x #

to :: Rep RealTimeInferenceConfig x -> RealTimeInferenceConfig #

Read RealTimeInferenceConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RealTimeInferenceConfig

Methods

readsPrec :: Int -> ReadS RealTimeInferenceConfig #

readList :: ReadS [RealTimeInferenceConfig] #

readPrec :: ReadPrec RealTimeInferenceConfig #

readListPrec :: ReadPrec [RealTimeInferenceConfig] #

Show RealTimeInferenceConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RealTimeInferenceConfig

Methods

showsPrec :: Int -> RealTimeInferenceConfig -> ShowS #

show :: RealTimeInferenceConfig -> String #

showList :: [RealTimeInferenceConfig] -> ShowS #

NFData RealTimeInferenceConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RealTimeInferenceConfig

Methods

rnf :: RealTimeInferenceConfig -> () #

Eq RealTimeInferenceConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RealTimeInferenceConfig

Methods

(==) :: RealTimeInferenceConfig -> RealTimeInferenceConfig -> Bool #

(/=) :: RealTimeInferenceConfig -> RealTimeInferenceConfig -> Bool #

Hashable RealTimeInferenceConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RealTimeInferenceConfig

Methods

hashWithSalt :: Int -> RealTimeInferenceConfig -> Int #

hash :: RealTimeInferenceConfig -> Int #

type Rep RealTimeInferenceConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RealTimeInferenceConfig

type Rep RealTimeInferenceConfig = D1 ('MetaData "RealTimeInferenceConfig" "Amazonka.SageMaker.Types.RealTimeInferenceConfig" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "RealTimeInferenceConfig'" 'PrefixI 'True) (S1 ('MetaSel ('Just "instanceType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 InstanceType) :*: S1 ('MetaSel ('Just "instanceCount") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Natural)))

newRealTimeInferenceConfig Source #

Arguments

:: InstanceType

$sel:instanceType:RealTimeInferenceConfig'

-> Natural

$sel:instanceCount:RealTimeInferenceConfig'

-> RealTimeInferenceConfig 

Create a value of RealTimeInferenceConfig with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:instanceType:RealTimeInferenceConfig', realTimeInferenceConfig_instanceType - The instance type the model is deployed to.

$sel:instanceCount:RealTimeInferenceConfig', realTimeInferenceConfig_instanceCount - The number of instances of the type specified by InstanceType.

realTimeInferenceConfig_instanceType :: Lens' RealTimeInferenceConfig InstanceType Source #

The instance type the model is deployed to.

realTimeInferenceConfig_instanceCount :: Lens' RealTimeInferenceConfig Natural Source #

The number of instances of the type specified by InstanceType.

RecommendationJobCompiledOutputConfig

data RecommendationJobCompiledOutputConfig Source #

Provides information about the output configuration for the compiled model.

See: newRecommendationJobCompiledOutputConfig smart constructor.

Constructors

RecommendationJobCompiledOutputConfig' 

Fields

  • s3OutputUri :: Maybe Text

    Identifies the Amazon S3 bucket where you want SageMaker to store the compiled model artifacts.

Instances

Instances details
ToJSON RecommendationJobCompiledOutputConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RecommendationJobCompiledOutputConfig

Methods

toJSON :: RecommendationJobCompiledOutputConfig -> Value #

toEncoding :: RecommendationJobCompiledOutputConfig -> Encoding #

toJSONList :: [RecommendationJobCompiledOutputConfig] -> Value #

toEncodingList :: [RecommendationJobCompiledOutputConfig] -> Encoding #

Generic RecommendationJobCompiledOutputConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RecommendationJobCompiledOutputConfig

Associated Types

type Rep RecommendationJobCompiledOutputConfig :: Type -> Type #

Methods

from :: RecommendationJobCompiledOutputConfig -> Rep RecommendationJobCompiledOutputConfig x #

to :: Rep RecommendationJobCompiledOutputConfig x -> RecommendationJobCompiledOutputConfig #

Read RecommendationJobCompiledOutputConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RecommendationJobCompiledOutputConfig

Methods

readsPrec :: Int -> ReadS RecommendationJobCompiledOutputConfig #

readList :: ReadS [RecommendationJobCompiledOutputConfig] #

readPrec :: ReadPrec RecommendationJobCompiledOutputConfig #

readListPrec :: ReadPrec [RecommendationJobCompiledOutputConfig] #

Show RecommendationJobCompiledOutputConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RecommendationJobCompiledOutputConfig

Methods

showsPrec :: Int -> RecommendationJobCompiledOutputConfig -> ShowS #

show :: RecommendationJobCompiledOutputConfig -> String #

showList :: [RecommendationJobCompiledOutputConfig] -> ShowS #

NFData RecommendationJobCompiledOutputConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RecommendationJobCompiledOutputConfig

Methods

rnf :: RecommendationJobCompiledOutputConfig -> () #

Eq RecommendationJobCompiledOutputConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RecommendationJobCompiledOutputConfig

Methods

(==) :: RecommendationJobCompiledOutputConfig -> RecommendationJobCompiledOutputConfig -> Bool #

(/=) :: RecommendationJobCompiledOutputConfig -> RecommendationJobCompiledOutputConfig -> Bool #

Hashable RecommendationJobCompiledOutputConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RecommendationJobCompiledOutputConfig

Methods

hashWithSalt :: Int -> RecommendationJobCompiledOutputConfig -> Int #

hash :: RecommendationJobCompiledOutputConfig -> Int #

type Rep RecommendationJobCompiledOutputConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RecommendationJobCompiledOutputConfig

type Rep RecommendationJobCompiledOutputConfig = D1 ('MetaData "RecommendationJobCompiledOutputConfig" "Amazonka.SageMaker.Types.RecommendationJobCompiledOutputConfig" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "RecommendationJobCompiledOutputConfig'" 'PrefixI 'True) (S1 ('MetaSel ('Just "s3OutputUri") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))

newRecommendationJobCompiledOutputConfig :: RecommendationJobCompiledOutputConfig Source #

Create a value of RecommendationJobCompiledOutputConfig with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:s3OutputUri:RecommendationJobCompiledOutputConfig', recommendationJobCompiledOutputConfig_s3OutputUri - Identifies the Amazon S3 bucket where you want SageMaker to store the compiled model artifacts.

recommendationJobCompiledOutputConfig_s3OutputUri :: Lens' RecommendationJobCompiledOutputConfig (Maybe Text) Source #

Identifies the Amazon S3 bucket where you want SageMaker to store the compiled model artifacts.

RecommendationJobContainerConfig

data RecommendationJobContainerConfig Source #

Specifies mandatory fields for running an Inference Recommender job directly in the CreateInferenceRecommendationsJob API. The fields specified in ContainerConfig override the corresponding fields in the model package. Use ContainerConfig if you want to specify these fields for the recommendation job but don't want to edit them in your model package.

See: newRecommendationJobContainerConfig smart constructor.

Constructors

RecommendationJobContainerConfig' 

Fields

  • domain :: Maybe Text

    The machine learning domain of the model and its components.

    Valid Values: COMPUTER_VISION | NATURAL_LANGUAGE_PROCESSING | MACHINE_LEARNING

  • framework :: Maybe Text

    The machine learning framework of the container image.

    Valid Values: TENSORFLOW | PYTORCH | XGBOOST | SAGEMAKER-SCIKIT-LEARN

  • frameworkVersion :: Maybe Text

    The framework version of the container image.

  • nearestModelName :: Maybe Text

    The name of a pre-trained machine learning model benchmarked by Amazon SageMaker Inference Recommender that matches your model.

    Valid Values: efficientnetb7 | unet | xgboost | faster-rcnn-resnet101 | nasnetlarge | vgg16 | inception-v3 | mask-rcnn | sagemaker-scikit-learn | densenet201-gluon | resnet18v2-gluon | xception | densenet201 | yolov4 | resnet152 | bert-base-cased | xceptionV1-keras | resnet50 | retinanet

  • payloadConfig :: Maybe RecommendationJobPayloadConfig

    Specifies the SamplePayloadUrl and all other sample payload-related fields.

  • supportedInstanceTypes :: Maybe [Text]

    A list of the instance types that are used to generate inferences in real-time.

  • task :: Maybe Text

    The machine learning task that the model accomplishes.

    Valid Values: IMAGE_CLASSIFICATION | OBJECT_DETECTION | TEXT_GENERATION | IMAGE_SEGMENTATION | FILL_MASK | CLASSIFICATION | REGRESSION | OTHER

Instances

Instances details
FromJSON RecommendationJobContainerConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RecommendationJobContainerConfig

Methods

parseJSON :: Value -> Parser RecommendationJobContainerConfig #

parseJSONList :: Value -> Parser [RecommendationJobContainerConfig] #

ToJSON RecommendationJobContainerConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RecommendationJobContainerConfig

Methods

toJSON :: RecommendationJobContainerConfig -> Value #

toEncoding :: RecommendationJobContainerConfig -> Encoding #

toJSONList :: [RecommendationJobContainerConfig] -> Value #

toEncodingList :: [RecommendationJobContainerConfig] -> Encoding #

Generic RecommendationJobContainerConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RecommendationJobContainerConfig

Associated Types

type Rep RecommendationJobContainerConfig :: Type -> Type #

Methods

from :: RecommendationJobContainerConfig -> Rep RecommendationJobContainerConfig x #

to :: Rep RecommendationJobContainerConfig x -> RecommendationJobContainerConfig #

Read RecommendationJobContainerConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RecommendationJobContainerConfig

Methods

readsPrec :: Int -> ReadS RecommendationJobContainerConfig #

readList :: ReadS [RecommendationJobContainerConfig] #

readPrec :: ReadPrec RecommendationJobContainerConfig #

readListPrec :: ReadPrec [RecommendationJobContainerConfig] #

Show RecommendationJobContainerConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RecommendationJobContainerConfig

Methods

showsPrec :: Int -> RecommendationJobContainerConfig -> ShowS #

show :: RecommendationJobContainerConfig -> String #

showList :: [RecommendationJobContainerConfig] -> ShowS #

NFData RecommendationJobContainerConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RecommendationJobContainerConfig

Methods

rnf :: RecommendationJobContainerConfig -> () #

Eq RecommendationJobContainerConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RecommendationJobContainerConfig

Methods

(==) :: RecommendationJobContainerConfig -> RecommendationJobContainerConfig -> Bool #

(/=) :: RecommendationJobContainerConfig -> RecommendationJobContainerConfig -> Bool #

Hashable RecommendationJobContainerConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RecommendationJobContainerConfig

Methods

hashWithSalt :: Int -> RecommendationJobContainerConfig -> Int #

hash :: RecommendationJobContainerConfig -> Int #

type Rep RecommendationJobContainerConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RecommendationJobContainerConfig

type Rep RecommendationJobContainerConfig = D1 ('MetaData "RecommendationJobContainerConfig" "Amazonka.SageMaker.Types.RecommendationJobContainerConfig" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "RecommendationJobContainerConfig'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "domain") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: (S1 ('MetaSel ('Just "framework") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "frameworkVersion") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))) :*: ((S1 ('MetaSel ('Just "nearestModelName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "payloadConfig") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe RecommendationJobPayloadConfig))) :*: (S1 ('MetaSel ('Just "supportedInstanceTypes") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [Text])) :*: S1 ('MetaSel ('Just "task") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))))

newRecommendationJobContainerConfig :: RecommendationJobContainerConfig Source #

Create a value of RecommendationJobContainerConfig with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:domain:RecommendationJobContainerConfig', recommendationJobContainerConfig_domain - The machine learning domain of the model and its components.

Valid Values: COMPUTER_VISION | NATURAL_LANGUAGE_PROCESSING | MACHINE_LEARNING

$sel:framework:RecommendationJobContainerConfig', recommendationJobContainerConfig_framework - The machine learning framework of the container image.

Valid Values: TENSORFLOW | PYTORCH | XGBOOST | SAGEMAKER-SCIKIT-LEARN

$sel:frameworkVersion:RecommendationJobContainerConfig', recommendationJobContainerConfig_frameworkVersion - The framework version of the container image.

$sel:nearestModelName:RecommendationJobContainerConfig', recommendationJobContainerConfig_nearestModelName - The name of a pre-trained machine learning model benchmarked by Amazon SageMaker Inference Recommender that matches your model.

Valid Values: efficientnetb7 | unet | xgboost | faster-rcnn-resnet101 | nasnetlarge | vgg16 | inception-v3 | mask-rcnn | sagemaker-scikit-learn | densenet201-gluon | resnet18v2-gluon | xception | densenet201 | yolov4 | resnet152 | bert-base-cased | xceptionV1-keras | resnet50 | retinanet

$sel:payloadConfig:RecommendationJobContainerConfig', recommendationJobContainerConfig_payloadConfig - Specifies the SamplePayloadUrl and all other sample payload-related fields.

$sel:supportedInstanceTypes:RecommendationJobContainerConfig', recommendationJobContainerConfig_supportedInstanceTypes - A list of the instance types that are used to generate inferences in real-time.

$sel:task:RecommendationJobContainerConfig', recommendationJobContainerConfig_task - The machine learning task that the model accomplishes.

Valid Values: IMAGE_CLASSIFICATION | OBJECT_DETECTION | TEXT_GENERATION | IMAGE_SEGMENTATION | FILL_MASK | CLASSIFICATION | REGRESSION | OTHER

recommendationJobContainerConfig_domain :: Lens' RecommendationJobContainerConfig (Maybe Text) Source #

The machine learning domain of the model and its components.

Valid Values: COMPUTER_VISION | NATURAL_LANGUAGE_PROCESSING | MACHINE_LEARNING

recommendationJobContainerConfig_framework :: Lens' RecommendationJobContainerConfig (Maybe Text) Source #

The machine learning framework of the container image.

Valid Values: TENSORFLOW | PYTORCH | XGBOOST | SAGEMAKER-SCIKIT-LEARN

recommendationJobContainerConfig_frameworkVersion :: Lens' RecommendationJobContainerConfig (Maybe Text) Source #

The framework version of the container image.

recommendationJobContainerConfig_nearestModelName :: Lens' RecommendationJobContainerConfig (Maybe Text) Source #

The name of a pre-trained machine learning model benchmarked by Amazon SageMaker Inference Recommender that matches your model.

Valid Values: efficientnetb7 | unet | xgboost | faster-rcnn-resnet101 | nasnetlarge | vgg16 | inception-v3 | mask-rcnn | sagemaker-scikit-learn | densenet201-gluon | resnet18v2-gluon | xception | densenet201 | yolov4 | resnet152 | bert-base-cased | xceptionV1-keras | resnet50 | retinanet

recommendationJobContainerConfig_payloadConfig :: Lens' RecommendationJobContainerConfig (Maybe RecommendationJobPayloadConfig) Source #

Specifies the SamplePayloadUrl and all other sample payload-related fields.

recommendationJobContainerConfig_supportedInstanceTypes :: Lens' RecommendationJobContainerConfig (Maybe [Text]) Source #

A list of the instance types that are used to generate inferences in real-time.

recommendationJobContainerConfig_task :: Lens' RecommendationJobContainerConfig (Maybe Text) Source #

The machine learning task that the model accomplishes.

Valid Values: IMAGE_CLASSIFICATION | OBJECT_DETECTION | TEXT_GENERATION | IMAGE_SEGMENTATION | FILL_MASK | CLASSIFICATION | REGRESSION | OTHER

RecommendationJobInferenceBenchmark

data RecommendationJobInferenceBenchmark Source #

The details for a specific benchmark from an Inference Recommender job.

See: newRecommendationJobInferenceBenchmark smart constructor.

Constructors

RecommendationJobInferenceBenchmark' 

Fields

Instances

Instances details
FromJSON RecommendationJobInferenceBenchmark Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RecommendationJobInferenceBenchmark

Methods

parseJSON :: Value -> Parser RecommendationJobInferenceBenchmark #

parseJSONList :: Value -> Parser [RecommendationJobInferenceBenchmark] #

Generic RecommendationJobInferenceBenchmark Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RecommendationJobInferenceBenchmark

Associated Types

type Rep RecommendationJobInferenceBenchmark :: Type -> Type #

Methods

from :: RecommendationJobInferenceBenchmark -> Rep RecommendationJobInferenceBenchmark x #

to :: Rep RecommendationJobInferenceBenchmark x -> RecommendationJobInferenceBenchmark #

Read RecommendationJobInferenceBenchmark Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RecommendationJobInferenceBenchmark

Methods

readsPrec :: Int -> ReadS RecommendationJobInferenceBenchmark #

readList :: ReadS [RecommendationJobInferenceBenchmark] #

readPrec :: ReadPrec RecommendationJobInferenceBenchmark #

readListPrec :: ReadPrec [RecommendationJobInferenceBenchmark] #

Show RecommendationJobInferenceBenchmark Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RecommendationJobInferenceBenchmark

Methods

showsPrec :: Int -> RecommendationJobInferenceBenchmark -> ShowS #

show :: RecommendationJobInferenceBenchmark -> String #

showList :: [RecommendationJobInferenceBenchmark] -> ShowS #

NFData RecommendationJobInferenceBenchmark Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RecommendationJobInferenceBenchmark

Methods

rnf :: RecommendationJobInferenceBenchmark -> () #

Eq RecommendationJobInferenceBenchmark Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RecommendationJobInferenceBenchmark

Methods

(==) :: RecommendationJobInferenceBenchmark -> RecommendationJobInferenceBenchmark -> Bool #

(/=) :: RecommendationJobInferenceBenchmark -> RecommendationJobInferenceBenchmark -> Bool #

Hashable RecommendationJobInferenceBenchmark Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RecommendationJobInferenceBenchmark

Methods

hashWithSalt :: Int -> RecommendationJobInferenceBenchmark -> Int #

hash :: RecommendationJobInferenceBenchmark -> Int #

type Rep RecommendationJobInferenceBenchmark Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RecommendationJobInferenceBenchmark

type Rep RecommendationJobInferenceBenchmark = D1 ('MetaData "RecommendationJobInferenceBenchmark" "Amazonka.SageMaker.Types.RecommendationJobInferenceBenchmark" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "RecommendationJobInferenceBenchmark'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "endpointConfiguration") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe EndpointOutputConfiguration)) :*: S1 ('MetaSel ('Just "failureReason") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))) :*: (S1 ('MetaSel ('Just "metrics") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe RecommendationMetrics)) :*: S1 ('MetaSel ('Just "modelConfiguration") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 ModelConfiguration))))

newRecommendationJobInferenceBenchmark Source #

Arguments

:: ModelConfiguration

$sel:modelConfiguration:RecommendationJobInferenceBenchmark'

-> RecommendationJobInferenceBenchmark 

Create a value of RecommendationJobInferenceBenchmark with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:endpointConfiguration:RecommendationJobInferenceBenchmark', recommendationJobInferenceBenchmark_endpointConfiguration - Undocumented member.

$sel:failureReason:RecommendationJobInferenceBenchmark', recommendationJobInferenceBenchmark_failureReason - The reason why a benchmark failed.

$sel:metrics:RecommendationJobInferenceBenchmark', recommendationJobInferenceBenchmark_metrics - Undocumented member.

$sel:modelConfiguration:RecommendationJobInferenceBenchmark', recommendationJobInferenceBenchmark_modelConfiguration - Undocumented member.

recommendationJobInferenceBenchmark_endpointConfiguration :: Lens' RecommendationJobInferenceBenchmark (Maybe EndpointOutputConfiguration) Source #

Undocumented member.

recommendationJobInferenceBenchmark_failureReason :: Lens' RecommendationJobInferenceBenchmark (Maybe Text) Source #

The reason why a benchmark failed.

recommendationJobInferenceBenchmark_metrics :: Lens' RecommendationJobInferenceBenchmark (Maybe RecommendationMetrics) Source #

Undocumented member.

recommendationJobInferenceBenchmark_modelConfiguration :: Lens' RecommendationJobInferenceBenchmark ModelConfiguration Source #

Undocumented member.

RecommendationJobInputConfig

data RecommendationJobInputConfig Source #

The input configuration of the recommendation job.

See: newRecommendationJobInputConfig smart constructor.

Constructors

RecommendationJobInputConfig' 

Fields

  • containerConfig :: Maybe RecommendationJobContainerConfig

    Specifies mandatory fields for running an Inference Recommender job. The fields specified in ContainerConfig override the corresponding fields in the model package.

  • endpointConfigurations :: Maybe (NonEmpty EndpointInputConfiguration)

    Specifies the endpoint configuration to use for a job.

  • endpoints :: Maybe [EndpointInfo]

    Existing customer endpoints on which to run an Inference Recommender job.

  • jobDurationInSeconds :: Maybe Natural

    Specifies the maximum duration of the job, in seconds.>

  • resourceLimit :: Maybe RecommendationJobResourceLimit

    Defines the resource limit of the job.

  • trafficPattern :: Maybe TrafficPattern

    Specifies the traffic pattern of the job.

  • volumeKmsKeyId :: Maybe Text

    The Amazon Resource Name (ARN) of a Amazon Web Services Key Management Service (Amazon Web Services KMS) key that Amazon SageMaker uses to encrypt data on the storage volume attached to the ML compute instance that hosts the endpoint. This key will be passed to SageMaker Hosting for endpoint creation.

    The SageMaker execution role must have kms:CreateGrant permission in order to encrypt data on the storage volume of the endpoints created for inference recommendation. The inference recommendation job will fail asynchronously during endpoint configuration creation if the role passed does not have kms:CreateGrant permission.

    The KmsKeyId can be any of the following formats:

    • // KMS Key ID

      "1234abcd-12ab-34cd-56ef-1234567890ab"

    • // Amazon Resource Name (ARN) of a KMS Key

      "arn:aws:kms:<region>:<account>:key/<key-id-12ab-34cd-56ef-1234567890ab>"

    • // KMS Key Alias

      "alias/ExampleAlias"

    • // Amazon Resource Name (ARN) of a KMS Key Alias

      "arn:aws:kms:<region>:<account>:alias/<ExampleAlias>"

    For more information about key identifiers, see Key identifiers (KeyID) in the Amazon Web Services Key Management Service (Amazon Web Services KMS) documentation.

  • vpcConfig :: Maybe RecommendationJobVpcConfig

    Inference Recommender provisions SageMaker endpoints with access to VPC in the inference recommendation job.

  • modelPackageVersionArn :: Text

    The Amazon Resource Name (ARN) of a versioned model package.

Instances

Instances details
FromJSON RecommendationJobInputConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RecommendationJobInputConfig

Methods

parseJSON :: Value -> Parser RecommendationJobInputConfig #

parseJSONList :: Value -> Parser [RecommendationJobInputConfig] #

ToJSON RecommendationJobInputConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RecommendationJobInputConfig

Methods

toJSON :: RecommendationJobInputConfig -> Value #

toEncoding :: RecommendationJobInputConfig -> Encoding #

toJSONList :: [RecommendationJobInputConfig] -> Value #

toEncodingList :: [RecommendationJobInputConfig] -> Encoding #

Generic RecommendationJobInputConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RecommendationJobInputConfig

Associated Types

type Rep RecommendationJobInputConfig :: Type -> Type #

Methods

from :: RecommendationJobInputConfig -> Rep RecommendationJobInputConfig x #

to :: Rep RecommendationJobInputConfig x -> RecommendationJobInputConfig #

Read RecommendationJobInputConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RecommendationJobInputConfig

Methods

readsPrec :: Int -> ReadS RecommendationJobInputConfig #

readList :: ReadS [RecommendationJobInputConfig] #

readPrec :: ReadPrec RecommendationJobInputConfig #

readListPrec :: ReadPrec [RecommendationJobInputConfig] #

Show RecommendationJobInputConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RecommendationJobInputConfig

Methods

showsPrec :: Int -> RecommendationJobInputConfig -> ShowS #

show :: RecommendationJobInputConfig -> String #

showList :: [RecommendationJobInputConfig] -> ShowS #

NFData RecommendationJobInputConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RecommendationJobInputConfig

Methods

rnf :: RecommendationJobInputConfig -> () #

Eq RecommendationJobInputConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RecommendationJobInputConfig

Methods

(==) :: RecommendationJobInputConfig -> RecommendationJobInputConfig -> Bool #

(/=) :: RecommendationJobInputConfig -> RecommendationJobInputConfig -> Bool #

Hashable RecommendationJobInputConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RecommendationJobInputConfig

Methods

hashWithSalt :: Int -> RecommendationJobInputConfig -> Int #

hash :: RecommendationJobInputConfig -> Int #

type Rep RecommendationJobInputConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RecommendationJobInputConfig

type Rep RecommendationJobInputConfig = D1 ('MetaData "RecommendationJobInputConfig" "Amazonka.SageMaker.Types.RecommendationJobInputConfig" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "RecommendationJobInputConfig'" 'PrefixI 'True) (((S1 ('MetaSel ('Just "containerConfig") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe RecommendationJobContainerConfig)) :*: S1 ('MetaSel ('Just "endpointConfigurations") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe (NonEmpty EndpointInputConfiguration)))) :*: (S1 ('MetaSel ('Just "endpoints") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [EndpointInfo])) :*: S1 ('MetaSel ('Just "jobDurationInSeconds") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural)))) :*: ((S1 ('MetaSel ('Just "resourceLimit") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe RecommendationJobResourceLimit)) :*: S1 ('MetaSel ('Just "trafficPattern") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe TrafficPattern))) :*: (S1 ('MetaSel ('Just "volumeKmsKeyId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: (S1 ('MetaSel ('Just "vpcConfig") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe RecommendationJobVpcConfig)) :*: S1 ('MetaSel ('Just "modelPackageVersionArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text))))))

newRecommendationJobInputConfig Source #

Arguments

:: Text

$sel:modelPackageVersionArn:RecommendationJobInputConfig'

-> RecommendationJobInputConfig 

Create a value of RecommendationJobInputConfig with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:containerConfig:RecommendationJobInputConfig', recommendationJobInputConfig_containerConfig - Specifies mandatory fields for running an Inference Recommender job. The fields specified in ContainerConfig override the corresponding fields in the model package.

$sel:endpointConfigurations:RecommendationJobInputConfig', recommendationJobInputConfig_endpointConfigurations - Specifies the endpoint configuration to use for a job.

$sel:endpoints:RecommendationJobInputConfig', recommendationJobInputConfig_endpoints - Existing customer endpoints on which to run an Inference Recommender job.

$sel:jobDurationInSeconds:RecommendationJobInputConfig', recommendationJobInputConfig_jobDurationInSeconds - Specifies the maximum duration of the job, in seconds.>

$sel:resourceLimit:RecommendationJobInputConfig', recommendationJobInputConfig_resourceLimit - Defines the resource limit of the job.

$sel:trafficPattern:RecommendationJobInputConfig', recommendationJobInputConfig_trafficPattern - Specifies the traffic pattern of the job.

$sel:volumeKmsKeyId:RecommendationJobInputConfig', recommendationJobInputConfig_volumeKmsKeyId - The Amazon Resource Name (ARN) of a Amazon Web Services Key Management Service (Amazon Web Services KMS) key that Amazon SageMaker uses to encrypt data on the storage volume attached to the ML compute instance that hosts the endpoint. This key will be passed to SageMaker Hosting for endpoint creation.

The SageMaker execution role must have kms:CreateGrant permission in order to encrypt data on the storage volume of the endpoints created for inference recommendation. The inference recommendation job will fail asynchronously during endpoint configuration creation if the role passed does not have kms:CreateGrant permission.

The KmsKeyId can be any of the following formats:

  • // KMS Key ID

    "1234abcd-12ab-34cd-56ef-1234567890ab"

  • // Amazon Resource Name (ARN) of a KMS Key

    "arn:aws:kms:<region>:<account>:key/<key-id-12ab-34cd-56ef-1234567890ab>"

  • // KMS Key Alias

    "alias/ExampleAlias"

  • // Amazon Resource Name (ARN) of a KMS Key Alias

    "arn:aws:kms:<region>:<account>:alias/<ExampleAlias>"

For more information about key identifiers, see Key identifiers (KeyID) in the Amazon Web Services Key Management Service (Amazon Web Services KMS) documentation.

$sel:vpcConfig:RecommendationJobInputConfig', recommendationJobInputConfig_vpcConfig - Inference Recommender provisions SageMaker endpoints with access to VPC in the inference recommendation job.

$sel:modelPackageVersionArn:RecommendationJobInputConfig', recommendationJobInputConfig_modelPackageVersionArn - The Amazon Resource Name (ARN) of a versioned model package.

recommendationJobInputConfig_containerConfig :: Lens' RecommendationJobInputConfig (Maybe RecommendationJobContainerConfig) Source #

Specifies mandatory fields for running an Inference Recommender job. The fields specified in ContainerConfig override the corresponding fields in the model package.

recommendationJobInputConfig_endpointConfigurations :: Lens' RecommendationJobInputConfig (Maybe (NonEmpty EndpointInputConfiguration)) Source #

Specifies the endpoint configuration to use for a job.

recommendationJobInputConfig_endpoints :: Lens' RecommendationJobInputConfig (Maybe [EndpointInfo]) Source #

Existing customer endpoints on which to run an Inference Recommender job.

recommendationJobInputConfig_jobDurationInSeconds :: Lens' RecommendationJobInputConfig (Maybe Natural) Source #

Specifies the maximum duration of the job, in seconds.>

recommendationJobInputConfig_resourceLimit :: Lens' RecommendationJobInputConfig (Maybe RecommendationJobResourceLimit) Source #

Defines the resource limit of the job.

recommendationJobInputConfig_trafficPattern :: Lens' RecommendationJobInputConfig (Maybe TrafficPattern) Source #

Specifies the traffic pattern of the job.

recommendationJobInputConfig_volumeKmsKeyId :: Lens' RecommendationJobInputConfig (Maybe Text) Source #

The Amazon Resource Name (ARN) of a Amazon Web Services Key Management Service (Amazon Web Services KMS) key that Amazon SageMaker uses to encrypt data on the storage volume attached to the ML compute instance that hosts the endpoint. This key will be passed to SageMaker Hosting for endpoint creation.

The SageMaker execution role must have kms:CreateGrant permission in order to encrypt data on the storage volume of the endpoints created for inference recommendation. The inference recommendation job will fail asynchronously during endpoint configuration creation if the role passed does not have kms:CreateGrant permission.

The KmsKeyId can be any of the following formats:

  • // KMS Key ID

    "1234abcd-12ab-34cd-56ef-1234567890ab"

  • // Amazon Resource Name (ARN) of a KMS Key

    "arn:aws:kms:<region>:<account>:key/<key-id-12ab-34cd-56ef-1234567890ab>"

  • // KMS Key Alias

    "alias/ExampleAlias"

  • // Amazon Resource Name (ARN) of a KMS Key Alias

    "arn:aws:kms:<region>:<account>:alias/<ExampleAlias>"

For more information about key identifiers, see Key identifiers (KeyID) in the Amazon Web Services Key Management Service (Amazon Web Services KMS) documentation.

recommendationJobInputConfig_vpcConfig :: Lens' RecommendationJobInputConfig (Maybe RecommendationJobVpcConfig) Source #

Inference Recommender provisions SageMaker endpoints with access to VPC in the inference recommendation job.

recommendationJobInputConfig_modelPackageVersionArn :: Lens' RecommendationJobInputConfig Text Source #

The Amazon Resource Name (ARN) of a versioned model package.

RecommendationJobOutputConfig

data RecommendationJobOutputConfig Source #

Provides information about the output configuration for the compiled model.

See: newRecommendationJobOutputConfig smart constructor.

Constructors

RecommendationJobOutputConfig' 

Fields

  • compiledOutputConfig :: Maybe RecommendationJobCompiledOutputConfig

    Provides information about the output configuration for the compiled model.

  • kmsKeyId :: Maybe Text

    The Amazon Resource Name (ARN) of a Amazon Web Services Key Management Service (Amazon Web Services KMS) key that Amazon SageMaker uses to encrypt your output artifacts with Amazon S3 server-side encryption. The SageMaker execution role must have kms:GenerateDataKey permission.

    The KmsKeyId can be any of the following formats:

    • // KMS Key ID

      "1234abcd-12ab-34cd-56ef-1234567890ab"

    • // Amazon Resource Name (ARN) of a KMS Key

      "arn:aws:kms:<region>:<account>:key/<key-id-12ab-34cd-56ef-1234567890ab>"

    • // KMS Key Alias

      "alias/ExampleAlias"

    • // Amazon Resource Name (ARN) of a KMS Key Alias

      "arn:aws:kms:<region>:<account>:alias/<ExampleAlias>"

    For more information about key identifiers, see Key identifiers (KeyID) in the Amazon Web Services Key Management Service (Amazon Web Services KMS) documentation.

Instances

Instances details
ToJSON RecommendationJobOutputConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RecommendationJobOutputConfig

Methods

toJSON :: RecommendationJobOutputConfig -> Value #

toEncoding :: RecommendationJobOutputConfig -> Encoding #

toJSONList :: [RecommendationJobOutputConfig] -> Value #

toEncodingList :: [RecommendationJobOutputConfig] -> Encoding #

Generic RecommendationJobOutputConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RecommendationJobOutputConfig

Associated Types

type Rep RecommendationJobOutputConfig :: Type -> Type #

Methods

from :: RecommendationJobOutputConfig -> Rep RecommendationJobOutputConfig x #

to :: Rep RecommendationJobOutputConfig x -> RecommendationJobOutputConfig #

Read RecommendationJobOutputConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RecommendationJobOutputConfig

Methods

readsPrec :: Int -> ReadS RecommendationJobOutputConfig #

readList :: ReadS [RecommendationJobOutputConfig] #

readPrec :: ReadPrec RecommendationJobOutputConfig #

readListPrec :: ReadPrec [RecommendationJobOutputConfig] #

Show RecommendationJobOutputConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RecommendationJobOutputConfig

Methods

showsPrec :: Int -> RecommendationJobOutputConfig -> ShowS #

show :: RecommendationJobOutputConfig -> String #

showList :: [RecommendationJobOutputConfig] -> ShowS #

NFData RecommendationJobOutputConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RecommendationJobOutputConfig

Methods

rnf :: RecommendationJobOutputConfig -> () #

Eq RecommendationJobOutputConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RecommendationJobOutputConfig

Methods

(==) :: RecommendationJobOutputConfig -> RecommendationJobOutputConfig -> Bool #

(/=) :: RecommendationJobOutputConfig -> RecommendationJobOutputConfig -> Bool #

Hashable RecommendationJobOutputConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RecommendationJobOutputConfig

Methods

hashWithSalt :: Int -> RecommendationJobOutputConfig -> Int #

hash :: RecommendationJobOutputConfig -> Int #

type Rep RecommendationJobOutputConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RecommendationJobOutputConfig

type Rep RecommendationJobOutputConfig = D1 ('MetaData "RecommendationJobOutputConfig" "Amazonka.SageMaker.Types.RecommendationJobOutputConfig" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "RecommendationJobOutputConfig'" 'PrefixI 'True) (S1 ('MetaSel ('Just "compiledOutputConfig") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe RecommendationJobCompiledOutputConfig)) :*: S1 ('MetaSel ('Just "kmsKeyId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))

newRecommendationJobOutputConfig :: RecommendationJobOutputConfig Source #

Create a value of RecommendationJobOutputConfig with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:compiledOutputConfig:RecommendationJobOutputConfig', recommendationJobOutputConfig_compiledOutputConfig - Provides information about the output configuration for the compiled model.

$sel:kmsKeyId:RecommendationJobOutputConfig', recommendationJobOutputConfig_kmsKeyId - The Amazon Resource Name (ARN) of a Amazon Web Services Key Management Service (Amazon Web Services KMS) key that Amazon SageMaker uses to encrypt your output artifacts with Amazon S3 server-side encryption. The SageMaker execution role must have kms:GenerateDataKey permission.

The KmsKeyId can be any of the following formats:

  • // KMS Key ID

    "1234abcd-12ab-34cd-56ef-1234567890ab"

  • // Amazon Resource Name (ARN) of a KMS Key

    "arn:aws:kms:<region>:<account>:key/<key-id-12ab-34cd-56ef-1234567890ab>"

  • // KMS Key Alias

    "alias/ExampleAlias"

  • // Amazon Resource Name (ARN) of a KMS Key Alias

    "arn:aws:kms:<region>:<account>:alias/<ExampleAlias>"

For more information about key identifiers, see Key identifiers (KeyID) in the Amazon Web Services Key Management Service (Amazon Web Services KMS) documentation.

recommendationJobOutputConfig_compiledOutputConfig :: Lens' RecommendationJobOutputConfig (Maybe RecommendationJobCompiledOutputConfig) Source #

Provides information about the output configuration for the compiled model.

recommendationJobOutputConfig_kmsKeyId :: Lens' RecommendationJobOutputConfig (Maybe Text) Source #

The Amazon Resource Name (ARN) of a Amazon Web Services Key Management Service (Amazon Web Services KMS) key that Amazon SageMaker uses to encrypt your output artifacts with Amazon S3 server-side encryption. The SageMaker execution role must have kms:GenerateDataKey permission.

The KmsKeyId can be any of the following formats:

  • // KMS Key ID

    "1234abcd-12ab-34cd-56ef-1234567890ab"

  • // Amazon Resource Name (ARN) of a KMS Key

    "arn:aws:kms:<region>:<account>:key/<key-id-12ab-34cd-56ef-1234567890ab>"

  • // KMS Key Alias

    "alias/ExampleAlias"

  • // Amazon Resource Name (ARN) of a KMS Key Alias

    "arn:aws:kms:<region>:<account>:alias/<ExampleAlias>"

For more information about key identifiers, see Key identifiers (KeyID) in the Amazon Web Services Key Management Service (Amazon Web Services KMS) documentation.

RecommendationJobPayloadConfig

data RecommendationJobPayloadConfig Source #

The configuration for the payload for a recommendation job.

See: newRecommendationJobPayloadConfig smart constructor.

Constructors

RecommendationJobPayloadConfig' 

Fields

  • samplePayloadUrl :: Maybe Text

    The Amazon Simple Storage Service (Amazon S3) path where the sample payload is stored. This path must point to a single gzip compressed tar archive (.tar.gz suffix).

  • supportedContentTypes :: Maybe [Text]

    The supported MIME types for the input data.

Instances

Instances details
FromJSON RecommendationJobPayloadConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RecommendationJobPayloadConfig

Methods

parseJSON :: Value -> Parser RecommendationJobPayloadConfig #

parseJSONList :: Value -> Parser [RecommendationJobPayloadConfig] #

ToJSON RecommendationJobPayloadConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RecommendationJobPayloadConfig

Methods

toJSON :: RecommendationJobPayloadConfig -> Value #

toEncoding :: RecommendationJobPayloadConfig -> Encoding #

toJSONList :: [RecommendationJobPayloadConfig] -> Value #

toEncodingList :: [RecommendationJobPayloadConfig] -> Encoding #

Generic RecommendationJobPayloadConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RecommendationJobPayloadConfig

Associated Types

type Rep RecommendationJobPayloadConfig :: Type -> Type #

Methods

from :: RecommendationJobPayloadConfig -> Rep RecommendationJobPayloadConfig x #

to :: Rep RecommendationJobPayloadConfig x -> RecommendationJobPayloadConfig #

Read RecommendationJobPayloadConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RecommendationJobPayloadConfig

Methods

readsPrec :: Int -> ReadS RecommendationJobPayloadConfig #

readList :: ReadS [RecommendationJobPayloadConfig] #

readPrec :: ReadPrec RecommendationJobPayloadConfig #

readListPrec :: ReadPrec [RecommendationJobPayloadConfig] #

Show RecommendationJobPayloadConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RecommendationJobPayloadConfig

Methods

showsPrec :: Int -> RecommendationJobPayloadConfig -> ShowS #

show :: RecommendationJobPayloadConfig -> String #

showList :: [RecommendationJobPayloadConfig] -> ShowS #

NFData RecommendationJobPayloadConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RecommendationJobPayloadConfig

Methods

rnf :: RecommendationJobPayloadConfig -> () #

Eq RecommendationJobPayloadConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RecommendationJobPayloadConfig

Methods

(==) :: RecommendationJobPayloadConfig -> RecommendationJobPayloadConfig -> Bool #

(/=) :: RecommendationJobPayloadConfig -> RecommendationJobPayloadConfig -> Bool #

Hashable RecommendationJobPayloadConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RecommendationJobPayloadConfig

Methods

hashWithSalt :: Int -> RecommendationJobPayloadConfig -> Int #

hash :: RecommendationJobPayloadConfig -> Int #

type Rep RecommendationJobPayloadConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RecommendationJobPayloadConfig

type Rep RecommendationJobPayloadConfig = D1 ('MetaData "RecommendationJobPayloadConfig" "Amazonka.SageMaker.Types.RecommendationJobPayloadConfig" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "RecommendationJobPayloadConfig'" 'PrefixI 'True) (S1 ('MetaSel ('Just "samplePayloadUrl") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "supportedContentTypes") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [Text]))))

newRecommendationJobPayloadConfig :: RecommendationJobPayloadConfig Source #

Create a value of RecommendationJobPayloadConfig with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:samplePayloadUrl:RecommendationJobPayloadConfig', recommendationJobPayloadConfig_samplePayloadUrl - The Amazon Simple Storage Service (Amazon S3) path where the sample payload is stored. This path must point to a single gzip compressed tar archive (.tar.gz suffix).

$sel:supportedContentTypes:RecommendationJobPayloadConfig', recommendationJobPayloadConfig_supportedContentTypes - The supported MIME types for the input data.

recommendationJobPayloadConfig_samplePayloadUrl :: Lens' RecommendationJobPayloadConfig (Maybe Text) Source #

The Amazon Simple Storage Service (Amazon S3) path where the sample payload is stored. This path must point to a single gzip compressed tar archive (.tar.gz suffix).

recommendationJobPayloadConfig_supportedContentTypes :: Lens' RecommendationJobPayloadConfig (Maybe [Text]) Source #

The supported MIME types for the input data.

RecommendationJobResourceLimit

data RecommendationJobResourceLimit Source #

Specifies the maximum number of jobs that can run in parallel and the maximum number of jobs that can run.

See: newRecommendationJobResourceLimit smart constructor.

Constructors

RecommendationJobResourceLimit' 

Fields

Instances

Instances details
FromJSON RecommendationJobResourceLimit Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RecommendationJobResourceLimit

Methods

parseJSON :: Value -> Parser RecommendationJobResourceLimit #

parseJSONList :: Value -> Parser [RecommendationJobResourceLimit] #

ToJSON RecommendationJobResourceLimit Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RecommendationJobResourceLimit

Methods

toJSON :: RecommendationJobResourceLimit -> Value #

toEncoding :: RecommendationJobResourceLimit -> Encoding #

toJSONList :: [RecommendationJobResourceLimit] -> Value #

toEncodingList :: [RecommendationJobResourceLimit] -> Encoding #

Generic RecommendationJobResourceLimit Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RecommendationJobResourceLimit

Associated Types

type Rep RecommendationJobResourceLimit :: Type -> Type #

Methods

from :: RecommendationJobResourceLimit -> Rep RecommendationJobResourceLimit x #

to :: Rep RecommendationJobResourceLimit x -> RecommendationJobResourceLimit #

Read RecommendationJobResourceLimit Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RecommendationJobResourceLimit

Methods

readsPrec :: Int -> ReadS RecommendationJobResourceLimit #

readList :: ReadS [RecommendationJobResourceLimit] #

readPrec :: ReadPrec RecommendationJobResourceLimit #

readListPrec :: ReadPrec [RecommendationJobResourceLimit] #

Show RecommendationJobResourceLimit Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RecommendationJobResourceLimit

Methods

showsPrec :: Int -> RecommendationJobResourceLimit -> ShowS #

show :: RecommendationJobResourceLimit -> String #

showList :: [RecommendationJobResourceLimit] -> ShowS #

NFData RecommendationJobResourceLimit Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RecommendationJobResourceLimit

Methods

rnf :: RecommendationJobResourceLimit -> () #

Eq RecommendationJobResourceLimit Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RecommendationJobResourceLimit

Methods

(==) :: RecommendationJobResourceLimit -> RecommendationJobResourceLimit -> Bool #

(/=) :: RecommendationJobResourceLimit -> RecommendationJobResourceLimit -> Bool #

Hashable RecommendationJobResourceLimit Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RecommendationJobResourceLimit

Methods

hashWithSalt :: Int -> RecommendationJobResourceLimit -> Int #

hash :: RecommendationJobResourceLimit -> Int #

type Rep RecommendationJobResourceLimit Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RecommendationJobResourceLimit

type Rep RecommendationJobResourceLimit = D1 ('MetaData "RecommendationJobResourceLimit" "Amazonka.SageMaker.Types.RecommendationJobResourceLimit" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "RecommendationJobResourceLimit'" 'PrefixI 'True) (S1 ('MetaSel ('Just "maxNumberOfTests") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural)) :*: S1 ('MetaSel ('Just "maxParallelOfTests") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural))))

newRecommendationJobResourceLimit :: RecommendationJobResourceLimit Source #

Create a value of RecommendationJobResourceLimit with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:maxNumberOfTests:RecommendationJobResourceLimit', recommendationJobResourceLimit_maxNumberOfTests - Defines the maximum number of load tests.

$sel:maxParallelOfTests:RecommendationJobResourceLimit', recommendationJobResourceLimit_maxParallelOfTests - Defines the maximum number of parallel load tests.

recommendationJobResourceLimit_maxNumberOfTests :: Lens' RecommendationJobResourceLimit (Maybe Natural) Source #

Defines the maximum number of load tests.

recommendationJobResourceLimit_maxParallelOfTests :: Lens' RecommendationJobResourceLimit (Maybe Natural) Source #

Defines the maximum number of parallel load tests.

RecommendationJobStoppingConditions

data RecommendationJobStoppingConditions Source #

Specifies conditions for stopping a job. When a job reaches a stopping condition limit, SageMaker ends the job.

See: newRecommendationJobStoppingConditions smart constructor.

Constructors

RecommendationJobStoppingConditions' 

Fields

  • maxInvocations :: Maybe Int

    The maximum number of requests per minute expected for the endpoint.

  • modelLatencyThresholds :: Maybe (NonEmpty ModelLatencyThreshold)

    The interval of time taken by a model to respond as viewed from SageMaker. The interval includes the local communication time taken to send the request and to fetch the response from the container of a model and the time taken to complete the inference in the container.

Instances

Instances details
FromJSON RecommendationJobStoppingConditions Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RecommendationJobStoppingConditions

Methods

parseJSON :: Value -> Parser RecommendationJobStoppingConditions #

parseJSONList :: Value -> Parser [RecommendationJobStoppingConditions] #

ToJSON RecommendationJobStoppingConditions Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RecommendationJobStoppingConditions

Methods

toJSON :: RecommendationJobStoppingConditions -> Value #

toEncoding :: RecommendationJobStoppingConditions -> Encoding #

toJSONList :: [RecommendationJobStoppingConditions] -> Value #

toEncodingList :: [RecommendationJobStoppingConditions] -> Encoding #

Generic RecommendationJobStoppingConditions Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RecommendationJobStoppingConditions

Associated Types

type Rep RecommendationJobStoppingConditions :: Type -> Type #

Methods

from :: RecommendationJobStoppingConditions -> Rep RecommendationJobStoppingConditions x #

to :: Rep RecommendationJobStoppingConditions x -> RecommendationJobStoppingConditions #

Read RecommendationJobStoppingConditions Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RecommendationJobStoppingConditions

Methods

readsPrec :: Int -> ReadS RecommendationJobStoppingConditions #

readList :: ReadS [RecommendationJobStoppingConditions] #

readPrec :: ReadPrec RecommendationJobStoppingConditions #

readListPrec :: ReadPrec [RecommendationJobStoppingConditions] #

Show RecommendationJobStoppingConditions Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RecommendationJobStoppingConditions

Methods

showsPrec :: Int -> RecommendationJobStoppingConditions -> ShowS #

show :: RecommendationJobStoppingConditions -> String #

showList :: [RecommendationJobStoppingConditions] -> ShowS #

NFData RecommendationJobStoppingConditions Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RecommendationJobStoppingConditions

Methods

rnf :: RecommendationJobStoppingConditions -> () #

Eq RecommendationJobStoppingConditions Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RecommendationJobStoppingConditions

Methods

(==) :: RecommendationJobStoppingConditions -> RecommendationJobStoppingConditions -> Bool #

(/=) :: RecommendationJobStoppingConditions -> RecommendationJobStoppingConditions -> Bool #

Hashable RecommendationJobStoppingConditions Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RecommendationJobStoppingConditions

Methods

hashWithSalt :: Int -> RecommendationJobStoppingConditions -> Int #

hash :: RecommendationJobStoppingConditions -> Int #

type Rep RecommendationJobStoppingConditions Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RecommendationJobStoppingConditions

type Rep RecommendationJobStoppingConditions = D1 ('MetaData "RecommendationJobStoppingConditions" "Amazonka.SageMaker.Types.RecommendationJobStoppingConditions" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "RecommendationJobStoppingConditions'" 'PrefixI 'True) (S1 ('MetaSel ('Just "maxInvocations") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Int)) :*: S1 ('MetaSel ('Just "modelLatencyThresholds") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe (NonEmpty ModelLatencyThreshold)))))

newRecommendationJobStoppingConditions :: RecommendationJobStoppingConditions Source #

Create a value of RecommendationJobStoppingConditions with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:maxInvocations:RecommendationJobStoppingConditions', recommendationJobStoppingConditions_maxInvocations - The maximum number of requests per minute expected for the endpoint.

$sel:modelLatencyThresholds:RecommendationJobStoppingConditions', recommendationJobStoppingConditions_modelLatencyThresholds - The interval of time taken by a model to respond as viewed from SageMaker. The interval includes the local communication time taken to send the request and to fetch the response from the container of a model and the time taken to complete the inference in the container.

recommendationJobStoppingConditions_maxInvocations :: Lens' RecommendationJobStoppingConditions (Maybe Int) Source #

The maximum number of requests per minute expected for the endpoint.

recommendationJobStoppingConditions_modelLatencyThresholds :: Lens' RecommendationJobStoppingConditions (Maybe (NonEmpty ModelLatencyThreshold)) Source #

The interval of time taken by a model to respond as viewed from SageMaker. The interval includes the local communication time taken to send the request and to fetch the response from the container of a model and the time taken to complete the inference in the container.

RecommendationJobVpcConfig

data RecommendationJobVpcConfig Source #

Inference Recommender provisions SageMaker endpoints with access to VPC in the inference recommendation job.

See: newRecommendationJobVpcConfig smart constructor.

Constructors

RecommendationJobVpcConfig' 

Fields

  • securityGroupIds :: NonEmpty Text

    The VPC security group IDs. IDs have the form of sg-xxxxxxxx. Specify the security groups for the VPC that is specified in the Subnets field.

  • subnets :: NonEmpty Text

    The ID of the subnets in the VPC to which you want to connect your model.

Instances

Instances details
FromJSON RecommendationJobVpcConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RecommendationJobVpcConfig

Methods

parseJSON :: Value -> Parser RecommendationJobVpcConfig #

parseJSONList :: Value -> Parser [RecommendationJobVpcConfig] #

ToJSON RecommendationJobVpcConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RecommendationJobVpcConfig

Methods

toJSON :: RecommendationJobVpcConfig -> Value #

toEncoding :: RecommendationJobVpcConfig -> Encoding #

toJSONList :: [RecommendationJobVpcConfig] -> Value #

toEncodingList :: [RecommendationJobVpcConfig] -> Encoding #

Generic RecommendationJobVpcConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RecommendationJobVpcConfig

Associated Types

type Rep RecommendationJobVpcConfig :: Type -> Type #

Methods

from :: RecommendationJobVpcConfig -> Rep RecommendationJobVpcConfig x #

to :: Rep RecommendationJobVpcConfig x -> RecommendationJobVpcConfig #

Read RecommendationJobVpcConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RecommendationJobVpcConfig

Methods

readsPrec :: Int -> ReadS RecommendationJobVpcConfig #

readList :: ReadS [RecommendationJobVpcConfig] #

readPrec :: ReadPrec RecommendationJobVpcConfig #

readListPrec :: ReadPrec [RecommendationJobVpcConfig] #

Show RecommendationJobVpcConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RecommendationJobVpcConfig

Methods

showsPrec :: Int -> RecommendationJobVpcConfig -> ShowS #

show :: RecommendationJobVpcConfig -> String #

showList :: [RecommendationJobVpcConfig] -> ShowS #

NFData RecommendationJobVpcConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RecommendationJobVpcConfig

Methods

rnf :: RecommendationJobVpcConfig -> () #

Eq RecommendationJobVpcConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RecommendationJobVpcConfig

Methods

(==) :: RecommendationJobVpcConfig -> RecommendationJobVpcConfig -> Bool #

(/=) :: RecommendationJobVpcConfig -> RecommendationJobVpcConfig -> Bool #

Hashable RecommendationJobVpcConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RecommendationJobVpcConfig

Methods

hashWithSalt :: Int -> RecommendationJobVpcConfig -> Int #

hash :: RecommendationJobVpcConfig -> Int #

type Rep RecommendationJobVpcConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RecommendationJobVpcConfig

type Rep RecommendationJobVpcConfig = D1 ('MetaData "RecommendationJobVpcConfig" "Amazonka.SageMaker.Types.RecommendationJobVpcConfig" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "RecommendationJobVpcConfig'" 'PrefixI 'True) (S1 ('MetaSel ('Just "securityGroupIds") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (NonEmpty Text)) :*: S1 ('MetaSel ('Just "subnets") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (NonEmpty Text))))

newRecommendationJobVpcConfig Source #

Arguments

:: NonEmpty Text

$sel:securityGroupIds:RecommendationJobVpcConfig'

-> NonEmpty Text

$sel:subnets:RecommendationJobVpcConfig'

-> RecommendationJobVpcConfig 

Create a value of RecommendationJobVpcConfig with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:securityGroupIds:RecommendationJobVpcConfig', recommendationJobVpcConfig_securityGroupIds - The VPC security group IDs. IDs have the form of sg-xxxxxxxx. Specify the security groups for the VPC that is specified in the Subnets field.

$sel:subnets:RecommendationJobVpcConfig', recommendationJobVpcConfig_subnets - The ID of the subnets in the VPC to which you want to connect your model.

recommendationJobVpcConfig_securityGroupIds :: Lens' RecommendationJobVpcConfig (NonEmpty Text) Source #

The VPC security group IDs. IDs have the form of sg-xxxxxxxx. Specify the security groups for the VPC that is specified in the Subnets field.

recommendationJobVpcConfig_subnets :: Lens' RecommendationJobVpcConfig (NonEmpty Text) Source #

The ID of the subnets in the VPC to which you want to connect your model.

RecommendationMetrics

data RecommendationMetrics Source #

The metrics of recommendations.

See: newRecommendationMetrics smart constructor.

Constructors

RecommendationMetrics' 

Fields

Instances

Instances details
FromJSON RecommendationMetrics Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RecommendationMetrics

Methods

parseJSON :: Value -> Parser RecommendationMetrics #

parseJSONList :: Value -> Parser [RecommendationMetrics] #

Generic RecommendationMetrics Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RecommendationMetrics

Associated Types

type Rep RecommendationMetrics :: Type -> Type #

Methods

from :: RecommendationMetrics -> Rep RecommendationMetrics x #

to :: Rep RecommendationMetrics x -> RecommendationMetrics #

Read RecommendationMetrics Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RecommendationMetrics

Methods

readsPrec :: Int -> ReadS RecommendationMetrics #

readList :: ReadS [RecommendationMetrics] #

readPrec :: ReadPrec RecommendationMetrics #

readListPrec :: ReadPrec [RecommendationMetrics] #

Show RecommendationMetrics Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RecommendationMetrics

Methods

showsPrec :: Int -> RecommendationMetrics -> ShowS #

show :: RecommendationMetrics -> String #

showList :: [RecommendationMetrics] -> ShowS #

NFData RecommendationMetrics Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RecommendationMetrics

Methods

rnf :: RecommendationMetrics -> () #

Eq RecommendationMetrics Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RecommendationMetrics

Methods

(==) :: RecommendationMetrics -> RecommendationMetrics -> Bool #

(/=) :: RecommendationMetrics -> RecommendationMetrics -> Bool #

Hashable RecommendationMetrics Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RecommendationMetrics

Methods

hashWithSalt :: Int -> RecommendationMetrics -> Int #

hash :: RecommendationMetrics -> Int #

type Rep RecommendationMetrics Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RecommendationMetrics

type Rep RecommendationMetrics = D1 ('MetaData "RecommendationMetrics" "Amazonka.SageMaker.Types.RecommendationMetrics" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "RecommendationMetrics'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "costPerHour") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Double) :*: S1 ('MetaSel ('Just "costPerInference") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Double)) :*: (S1 ('MetaSel ('Just "maxInvocations") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Int) :*: S1 ('MetaSel ('Just "modelLatency") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Int))))

newRecommendationMetrics Source #

Arguments

:: Double

$sel:costPerHour:RecommendationMetrics'

-> Double

$sel:costPerInference:RecommendationMetrics'

-> Int

$sel:maxInvocations:RecommendationMetrics'

-> Int

$sel:modelLatency:RecommendationMetrics'

-> RecommendationMetrics 

Create a value of RecommendationMetrics with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:costPerHour:RecommendationMetrics', recommendationMetrics_costPerHour - Defines the cost per hour for the instance.

$sel:costPerInference:RecommendationMetrics', recommendationMetrics_costPerInference - Defines the cost per inference for the instance .

$sel:maxInvocations:RecommendationMetrics', recommendationMetrics_maxInvocations - The expected maximum number of requests per minute for the instance.

$sel:modelLatency:RecommendationMetrics', recommendationMetrics_modelLatency - The expected model latency at maximum invocation per minute for the instance.

recommendationMetrics_costPerHour :: Lens' RecommendationMetrics Double Source #

Defines the cost per hour for the instance.

recommendationMetrics_costPerInference :: Lens' RecommendationMetrics Double Source #

Defines the cost per inference for the instance .

recommendationMetrics_maxInvocations :: Lens' RecommendationMetrics Int Source #

The expected maximum number of requests per minute for the instance.

recommendationMetrics_modelLatency :: Lens' RecommendationMetrics Int Source #

The expected model latency at maximum invocation per minute for the instance.

RedshiftDatasetDefinition

data RedshiftDatasetDefinition Source #

Configuration for Redshift Dataset Definition input.

See: newRedshiftDatasetDefinition smart constructor.

Constructors

RedshiftDatasetDefinition' 

Fields

Instances

Instances details
FromJSON RedshiftDatasetDefinition Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RedshiftDatasetDefinition

Methods

parseJSON :: Value -> Parser RedshiftDatasetDefinition #

parseJSONList :: Value -> Parser [RedshiftDatasetDefinition] #

ToJSON RedshiftDatasetDefinition Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RedshiftDatasetDefinition

Methods

toJSON :: RedshiftDatasetDefinition -> Value #

toEncoding :: RedshiftDatasetDefinition -> Encoding #

toJSONList :: [RedshiftDatasetDefinition] -> Value #

toEncodingList :: [RedshiftDatasetDefinition] -> Encoding #

Generic RedshiftDatasetDefinition Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RedshiftDatasetDefinition

Associated Types

type Rep RedshiftDatasetDefinition :: Type -> Type #

Methods

from :: RedshiftDatasetDefinition -> Rep RedshiftDatasetDefinition x #

to :: Rep RedshiftDatasetDefinition x -> RedshiftDatasetDefinition #

Read RedshiftDatasetDefinition Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RedshiftDatasetDefinition

Methods

readsPrec :: Int -> ReadS RedshiftDatasetDefinition #

readList :: ReadS [RedshiftDatasetDefinition] #

readPrec :: ReadPrec RedshiftDatasetDefinition #

readListPrec :: ReadPrec [RedshiftDatasetDefinition] #

Show RedshiftDatasetDefinition Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RedshiftDatasetDefinition

Methods

showsPrec :: Int -> RedshiftDatasetDefinition -> ShowS #

show :: RedshiftDatasetDefinition -> String #

showList :: [RedshiftDatasetDefinition] -> ShowS #

NFData RedshiftDatasetDefinition Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RedshiftDatasetDefinition

Methods

rnf :: RedshiftDatasetDefinition -> () #

Eq RedshiftDatasetDefinition Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RedshiftDatasetDefinition

Methods

(==) :: RedshiftDatasetDefinition -> RedshiftDatasetDefinition -> Bool #

(/=) :: RedshiftDatasetDefinition -> RedshiftDatasetDefinition -> Bool #

Hashable RedshiftDatasetDefinition Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RedshiftDatasetDefinition

Methods

hashWithSalt :: Int -> RedshiftDatasetDefinition -> Int #

hash :: RedshiftDatasetDefinition -> Int #

type Rep RedshiftDatasetDefinition Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RedshiftDatasetDefinition

type Rep RedshiftDatasetDefinition = D1 ('MetaData "RedshiftDatasetDefinition" "Amazonka.SageMaker.Types.RedshiftDatasetDefinition" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "RedshiftDatasetDefinition'" 'PrefixI 'True) (((S1 ('MetaSel ('Just "kmsKeyId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "outputCompression") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe RedshiftResultCompressionType))) :*: (S1 ('MetaSel ('Just "clusterId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: S1 ('MetaSel ('Just "database") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text))) :*: ((S1 ('MetaSel ('Just "dbUser") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: S1 ('MetaSel ('Just "queryString") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)) :*: (S1 ('MetaSel ('Just "clusterRoleArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: (S1 ('MetaSel ('Just "outputS3Uri") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: S1 ('MetaSel ('Just "outputFormat") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 RedshiftResultFormat))))))

newRedshiftDatasetDefinition Source #

Arguments

:: Text

$sel:clusterId:RedshiftDatasetDefinition'

-> Text

$sel:database:RedshiftDatasetDefinition'

-> Text

$sel:dbUser:RedshiftDatasetDefinition'

-> Text

$sel:queryString:RedshiftDatasetDefinition'

-> Text

$sel:clusterRoleArn:RedshiftDatasetDefinition'

-> Text

$sel:outputS3Uri:RedshiftDatasetDefinition'

-> RedshiftResultFormat

$sel:outputFormat:RedshiftDatasetDefinition'

-> RedshiftDatasetDefinition 

Create a value of RedshiftDatasetDefinition with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:kmsKeyId:RedshiftDatasetDefinition', redshiftDatasetDefinition_kmsKeyId - The Amazon Web Services Key Management Service (Amazon Web Services KMS) key that Amazon SageMaker uses to encrypt data from a Redshift execution.

$sel:outputCompression:RedshiftDatasetDefinition', redshiftDatasetDefinition_outputCompression - Undocumented member.

$sel:clusterId:RedshiftDatasetDefinition', redshiftDatasetDefinition_clusterId - Undocumented member.

$sel:database:RedshiftDatasetDefinition', redshiftDatasetDefinition_database - Undocumented member.

$sel:dbUser:RedshiftDatasetDefinition', redshiftDatasetDefinition_dbUser - Undocumented member.

$sel:queryString:RedshiftDatasetDefinition', redshiftDatasetDefinition_queryString - Undocumented member.

$sel:clusterRoleArn:RedshiftDatasetDefinition', redshiftDatasetDefinition_clusterRoleArn - The IAM role attached to your Redshift cluster that Amazon SageMaker uses to generate datasets.

$sel:outputS3Uri:RedshiftDatasetDefinition', redshiftDatasetDefinition_outputS3Uri - The location in Amazon S3 where the Redshift query results are stored.

$sel:outputFormat:RedshiftDatasetDefinition', redshiftDatasetDefinition_outputFormat - Undocumented member.

redshiftDatasetDefinition_kmsKeyId :: Lens' RedshiftDatasetDefinition (Maybe Text) Source #

The Amazon Web Services Key Management Service (Amazon Web Services KMS) key that Amazon SageMaker uses to encrypt data from a Redshift execution.

redshiftDatasetDefinition_outputCompression :: Lens' RedshiftDatasetDefinition (Maybe RedshiftResultCompressionType) Source #

Undocumented member.

redshiftDatasetDefinition_clusterId :: Lens' RedshiftDatasetDefinition Text Source #

Undocumented member.

redshiftDatasetDefinition_database :: Lens' RedshiftDatasetDefinition Text Source #

Undocumented member.

redshiftDatasetDefinition_dbUser :: Lens' RedshiftDatasetDefinition Text Source #

Undocumented member.

redshiftDatasetDefinition_queryString :: Lens' RedshiftDatasetDefinition Text Source #

Undocumented member.

redshiftDatasetDefinition_clusterRoleArn :: Lens' RedshiftDatasetDefinition Text Source #

The IAM role attached to your Redshift cluster that Amazon SageMaker uses to generate datasets.

redshiftDatasetDefinition_outputS3Uri :: Lens' RedshiftDatasetDefinition Text Source #

The location in Amazon S3 where the Redshift query results are stored.

redshiftDatasetDefinition_outputFormat :: Lens' RedshiftDatasetDefinition RedshiftResultFormat Source #

Undocumented member.

RegisterModelStepMetadata

data RegisterModelStepMetadata Source #

Metadata for a register model job step.

See: newRegisterModelStepMetadata smart constructor.

Constructors

RegisterModelStepMetadata' 

Fields

  • arn :: Maybe Text

    The Amazon Resource Name (ARN) of the model package.

Instances

Instances details
FromJSON RegisterModelStepMetadata Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RegisterModelStepMetadata

Methods

parseJSON :: Value -> Parser RegisterModelStepMetadata #

parseJSONList :: Value -> Parser [RegisterModelStepMetadata] #

Generic RegisterModelStepMetadata Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RegisterModelStepMetadata

Associated Types

type Rep RegisterModelStepMetadata :: Type -> Type #

Methods

from :: RegisterModelStepMetadata -> Rep RegisterModelStepMetadata x #

to :: Rep RegisterModelStepMetadata x -> RegisterModelStepMetadata #

Read RegisterModelStepMetadata Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RegisterModelStepMetadata

Methods

readsPrec :: Int -> ReadS RegisterModelStepMetadata #

readList :: ReadS [RegisterModelStepMetadata] #

readPrec :: ReadPrec RegisterModelStepMetadata #

readListPrec :: ReadPrec [RegisterModelStepMetadata] #

Show RegisterModelStepMetadata Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RegisterModelStepMetadata

Methods

showsPrec :: Int -> RegisterModelStepMetadata -> ShowS #

show :: RegisterModelStepMetadata -> String #

showList :: [RegisterModelStepMetadata] -> ShowS #

NFData RegisterModelStepMetadata Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RegisterModelStepMetadata

Methods

rnf :: RegisterModelStepMetadata -> () #

Eq RegisterModelStepMetadata Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RegisterModelStepMetadata

Methods

(==) :: RegisterModelStepMetadata -> RegisterModelStepMetadata -> Bool #

(/=) :: RegisterModelStepMetadata -> RegisterModelStepMetadata -> Bool #

Hashable RegisterModelStepMetadata Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RegisterModelStepMetadata

Methods

hashWithSalt :: Int -> RegisterModelStepMetadata -> Int #

hash :: RegisterModelStepMetadata -> Int #

type Rep RegisterModelStepMetadata Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RegisterModelStepMetadata

type Rep RegisterModelStepMetadata = D1 ('MetaData "RegisterModelStepMetadata" "Amazonka.SageMaker.Types.RegisterModelStepMetadata" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "RegisterModelStepMetadata'" 'PrefixI 'True) (S1 ('MetaSel ('Just "arn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))

newRegisterModelStepMetadata :: RegisterModelStepMetadata Source #

Create a value of RegisterModelStepMetadata with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:arn:RegisterModelStepMetadata', registerModelStepMetadata_arn - The Amazon Resource Name (ARN) of the model package.

registerModelStepMetadata_arn :: Lens' RegisterModelStepMetadata (Maybe Text) Source #

The Amazon Resource Name (ARN) of the model package.

RenderableTask

data RenderableTask Source #

Contains input values for a task.

See: newRenderableTask smart constructor.

Constructors

RenderableTask' 

Fields

  • input :: Text

    A JSON object that contains values for the variables defined in the template. It is made available to the template under the substitution variable task.input. For example, if you define a variable task.input.text in your template, you can supply the variable in the JSON object as "text": "sample text".

Instances

Instances details
ToJSON RenderableTask Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RenderableTask

Methods

toJSON :: RenderableTask -> Value #

toEncoding :: RenderableTask -> Encoding #

toJSONList :: [RenderableTask] -> Value #

toEncodingList :: [RenderableTask] -> Encoding #

Generic RenderableTask Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RenderableTask

Associated Types

type Rep RenderableTask :: Type -> Type #

Methods

from :: RenderableTask -> Rep RenderableTask x #

to :: Rep RenderableTask x -> RenderableTask #

Read RenderableTask Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RenderableTask

Methods

readsPrec :: Int -> ReadS RenderableTask #

readList :: ReadS [RenderableTask] #

readPrec :: ReadPrec RenderableTask #

readListPrec :: ReadPrec [RenderableTask] #

Show RenderableTask Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RenderableTask

Methods

showsPrec :: Int -> RenderableTask -> ShowS #

show :: RenderableTask -> String #

showList :: [RenderableTask] -> ShowS #

NFData RenderableTask Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RenderableTask

Methods

rnf :: RenderableTask -> () #

Eq RenderableTask Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RenderableTask

Methods

(==) :: RenderableTask -> RenderableTask -> Bool #

(/=) :: RenderableTask -> RenderableTask -> Bool #

Hashable RenderableTask Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RenderableTask

Methods

hashWithSalt :: Int -> RenderableTask -> Int #

hash :: RenderableTask -> Int #

type Rep RenderableTask Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RenderableTask

type Rep RenderableTask = D1 ('MetaData "RenderableTask" "Amazonka.SageMaker.Types.RenderableTask" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "RenderableTask'" 'PrefixI 'True) (S1 ('MetaSel ('Just "input") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))

newRenderableTask Source #

Arguments

:: Text

$sel:input:RenderableTask'

-> RenderableTask 

Create a value of RenderableTask with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:input:RenderableTask', renderableTask_input - A JSON object that contains values for the variables defined in the template. It is made available to the template under the substitution variable task.input. For example, if you define a variable task.input.text in your template, you can supply the variable in the JSON object as "text": "sample text".

renderableTask_input :: Lens' RenderableTask Text Source #

A JSON object that contains values for the variables defined in the template. It is made available to the template under the substitution variable task.input. For example, if you define a variable task.input.text in your template, you can supply the variable in the JSON object as "text": "sample text".

RenderingError

data RenderingError Source #

A description of an error that occurred while rendering the template.

See: newRenderingError smart constructor.

Constructors

RenderingError' 

Fields

  • code :: Text

    A unique identifier for a specific class of errors.

  • message :: Text

    A human-readable message describing the error.

Instances

Instances details
FromJSON RenderingError Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RenderingError

Methods

parseJSON :: Value -> Parser RenderingError #

parseJSONList :: Value -> Parser [RenderingError] #

Generic RenderingError Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RenderingError

Associated Types

type Rep RenderingError :: Type -> Type #

Methods

from :: RenderingError -> Rep RenderingError x #

to :: Rep RenderingError x -> RenderingError #

Read RenderingError Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RenderingError

Methods

readsPrec :: Int -> ReadS RenderingError #

readList :: ReadS [RenderingError] #

readPrec :: ReadPrec RenderingError #

readListPrec :: ReadPrec [RenderingError] #

Show RenderingError Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RenderingError

Methods

showsPrec :: Int -> RenderingError -> ShowS #

show :: RenderingError -> String #

showList :: [RenderingError] -> ShowS #

NFData RenderingError Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RenderingError

Methods

rnf :: RenderingError -> () #

Eq RenderingError Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RenderingError

Methods

(==) :: RenderingError -> RenderingError -> Bool #

(/=) :: RenderingError -> RenderingError -> Bool #

Hashable RenderingError Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RenderingError

Methods

hashWithSalt :: Int -> RenderingError -> Int #

hash :: RenderingError -> Int #

type Rep RenderingError Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RenderingError

type Rep RenderingError = D1 ('MetaData "RenderingError" "Amazonka.SageMaker.Types.RenderingError" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "RenderingError'" 'PrefixI 'True) (S1 ('MetaSel ('Just "code") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: S1 ('MetaSel ('Just "message") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))

newRenderingError Source #

Arguments

:: Text

$sel:code:RenderingError'

-> Text

$sel:message:RenderingError'

-> RenderingError 

Create a value of RenderingError with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:code:RenderingError', renderingError_code - A unique identifier for a specific class of errors.

$sel:message:RenderingError', renderingError_message - A human-readable message describing the error.

renderingError_code :: Lens' RenderingError Text Source #

A unique identifier for a specific class of errors.

renderingError_message :: Lens' RenderingError Text Source #

A human-readable message describing the error.

RepositoryAuthConfig

data RepositoryAuthConfig Source #

Specifies an authentication configuration for the private docker registry where your model image is hosted. Specify a value for this property only if you specified Vpc as the value for the RepositoryAccessMode field of the ImageConfig object that you passed to a call to CreateModel and the private Docker registry where the model image is hosted requires authentication.

See: newRepositoryAuthConfig smart constructor.

Constructors

RepositoryAuthConfig' 

Fields

  • repositoryCredentialsProviderArn :: Text

    The Amazon Resource Name (ARN) of an Amazon Web Services Lambda function that provides credentials to authenticate to the private Docker registry where your model image is hosted. For information about how to create an Amazon Web Services Lambda function, see Create a Lambda function with the console in the Amazon Web Services Lambda Developer Guide.

Instances

Instances details
FromJSON RepositoryAuthConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RepositoryAuthConfig

Methods

parseJSON :: Value -> Parser RepositoryAuthConfig #

parseJSONList :: Value -> Parser [RepositoryAuthConfig] #

ToJSON RepositoryAuthConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RepositoryAuthConfig

Methods

toJSON :: RepositoryAuthConfig -> Value #

toEncoding :: RepositoryAuthConfig -> Encoding #

toJSONList :: [RepositoryAuthConfig] -> Value #

toEncodingList :: [RepositoryAuthConfig] -> Encoding #

Generic RepositoryAuthConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RepositoryAuthConfig

Associated Types

type Rep RepositoryAuthConfig :: Type -> Type #

Methods

from :: RepositoryAuthConfig -> Rep RepositoryAuthConfig x #

to :: Rep RepositoryAuthConfig x -> RepositoryAuthConfig #

Read RepositoryAuthConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RepositoryAuthConfig

Methods

readsPrec :: Int -> ReadS RepositoryAuthConfig #

readList :: ReadS [RepositoryAuthConfig] #

readPrec :: ReadPrec RepositoryAuthConfig #

readListPrec :: ReadPrec [RepositoryAuthConfig] #

Show RepositoryAuthConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RepositoryAuthConfig

Methods

showsPrec :: Int -> RepositoryAuthConfig -> ShowS #

show :: RepositoryAuthConfig -> String #

showList :: [RepositoryAuthConfig] -> ShowS #

NFData RepositoryAuthConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RepositoryAuthConfig

Methods

rnf :: RepositoryAuthConfig -> () #

Eq RepositoryAuthConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RepositoryAuthConfig

Methods

(==) :: RepositoryAuthConfig -> RepositoryAuthConfig -> Bool #

(/=) :: RepositoryAuthConfig -> RepositoryAuthConfig -> Bool #

Hashable RepositoryAuthConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RepositoryAuthConfig

Methods

hashWithSalt :: Int -> RepositoryAuthConfig -> Int #

hash :: RepositoryAuthConfig -> Int #

type Rep RepositoryAuthConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RepositoryAuthConfig

type Rep RepositoryAuthConfig = D1 ('MetaData "RepositoryAuthConfig" "Amazonka.SageMaker.Types.RepositoryAuthConfig" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "RepositoryAuthConfig'" 'PrefixI 'True) (S1 ('MetaSel ('Just "repositoryCredentialsProviderArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))

newRepositoryAuthConfig Source #

Arguments

:: Text

$sel:repositoryCredentialsProviderArn:RepositoryAuthConfig'

-> RepositoryAuthConfig 

Create a value of RepositoryAuthConfig with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:repositoryCredentialsProviderArn:RepositoryAuthConfig', repositoryAuthConfig_repositoryCredentialsProviderArn - The Amazon Resource Name (ARN) of an Amazon Web Services Lambda function that provides credentials to authenticate to the private Docker registry where your model image is hosted. For information about how to create an Amazon Web Services Lambda function, see Create a Lambda function with the console in the Amazon Web Services Lambda Developer Guide.

repositoryAuthConfig_repositoryCredentialsProviderArn :: Lens' RepositoryAuthConfig Text Source #

The Amazon Resource Name (ARN) of an Amazon Web Services Lambda function that provides credentials to authenticate to the private Docker registry where your model image is hosted. For information about how to create an Amazon Web Services Lambda function, see Create a Lambda function with the console in the Amazon Web Services Lambda Developer Guide.

ResolvedAttributes

data ResolvedAttributes Source #

The resolved attributes.

See: newResolvedAttributes smart constructor.

Constructors

ResolvedAttributes' 

Fields

Instances

Instances details
FromJSON ResolvedAttributes Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ResolvedAttributes

Methods

parseJSON :: Value -> Parser ResolvedAttributes #

parseJSONList :: Value -> Parser [ResolvedAttributes] #

Generic ResolvedAttributes Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ResolvedAttributes

Associated Types

type Rep ResolvedAttributes :: Type -> Type #

Methods

from :: ResolvedAttributes -> Rep ResolvedAttributes x #

to :: Rep ResolvedAttributes x -> ResolvedAttributes #

Read ResolvedAttributes Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ResolvedAttributes

Methods

readsPrec :: Int -> ReadS ResolvedAttributes #

readList :: ReadS [ResolvedAttributes] #

readPrec :: ReadPrec ResolvedAttributes #

readListPrec :: ReadPrec [ResolvedAttributes] #

Show ResolvedAttributes Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ResolvedAttributes

Methods

showsPrec :: Int -> ResolvedAttributes -> ShowS #

show :: ResolvedAttributes -> String #

showList :: [ResolvedAttributes] -> ShowS #

NFData ResolvedAttributes Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ResolvedAttributes

Methods

rnf :: ResolvedAttributes -> () #

Eq ResolvedAttributes Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ResolvedAttributes

Methods

(==) :: ResolvedAttributes -> ResolvedAttributes -> Bool #

(/=) :: ResolvedAttributes -> ResolvedAttributes -> Bool #

Hashable ResolvedAttributes Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ResolvedAttributes

Methods

hashWithSalt :: Int -> ResolvedAttributes -> Int #

hash :: ResolvedAttributes -> Int #

type Rep ResolvedAttributes Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ResolvedAttributes

type Rep ResolvedAttributes = D1 ('MetaData "ResolvedAttributes" "Amazonka.SageMaker.Types.ResolvedAttributes" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "ResolvedAttributes'" 'PrefixI 'True) (S1 ('MetaSel ('Just "autoMLJobObjective") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe AutoMLJobObjective)) :*: (S1 ('MetaSel ('Just "completionCriteria") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe AutoMLJobCompletionCriteria)) :*: S1 ('MetaSel ('Just "problemType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ProblemType)))))

newResolvedAttributes :: ResolvedAttributes Source #

Create a value of ResolvedAttributes with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:autoMLJobObjective:ResolvedAttributes', resolvedAttributes_autoMLJobObjective - Undocumented member.

$sel:completionCriteria:ResolvedAttributes', resolvedAttributes_completionCriteria - Undocumented member.

$sel:problemType:ResolvedAttributes', resolvedAttributes_problemType - The problem type.

resolvedAttributes_autoMLJobObjective :: Lens' ResolvedAttributes (Maybe AutoMLJobObjective) Source #

Undocumented member.

resolvedAttributes_completionCriteria :: Lens' ResolvedAttributes (Maybe AutoMLJobCompletionCriteria) Source #

Undocumented member.

resolvedAttributes_problemType :: Lens' ResolvedAttributes (Maybe ProblemType) Source #

The problem type.

ResourceConfig

data ResourceConfig Source #

Describes the resources, including machine learning (ML) compute instances and ML storage volumes, to use for model training.

See: newResourceConfig smart constructor.

Constructors

ResourceConfig' 

Fields

  • instanceCount :: Maybe Natural

    The number of ML compute instances to use. For distributed training, provide a value greater than 1.

  • instanceGroups :: Maybe [InstanceGroup]

    The configuration of a heterogeneous cluster in JSON format.

  • instanceType :: Maybe TrainingInstanceType

    The ML compute instance type.

    SageMaker Training on Amazon Elastic Compute Cloud (EC2) P4de instances is in preview release starting December 9th, 2022.

    Amazon EC2 P4de instances (currently in preview) are powered by 8 NVIDIA A100 GPUs with 80GB high-performance HBM2e GPU memory, which accelerate the speed of training ML models that need to be trained on large datasets of high-resolution data. In this preview release, Amazon SageMaker supports ML training jobs on P4de instances (ml.p4de.24xlarge) to reduce model training time. The ml.p4de.24xlarge instances are available in the following Amazon Web Services Regions.

    • US East (N. Virginia) (us-east-1)
    • US West (Oregon) (us-west-2)

    To request quota limit increase and start using P4de instances, contact the SageMaker Training service team through your account team.

  • keepAlivePeriodInSeconds :: Maybe Natural

    The duration of time in seconds to retain configured resources in a warm pool for subsequent training jobs.

  • volumeKmsKeyId :: Maybe Text

    The Amazon Web Services KMS key that SageMaker uses to encrypt data on the storage volume attached to the ML compute instance(s) that run the training job.

    Certain Nitro-based instances include local storage, dependent on the instance type. Local storage volumes are encrypted using a hardware module on the instance. You can't request a VolumeKmsKeyId when using an instance type with local storage.

    For a list of instance types that support local instance storage, see Instance Store Volumes.

    For more information about local instance storage encryption, see SSD Instance Store Volumes.

    The VolumeKmsKeyId can be in any of the following formats:

    • // KMS Key ID

      "1234abcd-12ab-34cd-56ef-1234567890ab"

    • // Amazon Resource Name (ARN) of a KMS Key

      "arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab"
  • volumeSizeInGB :: Natural

    The size of the ML storage volume that you want to provision.

    ML storage volumes store model artifacts and incremental states. Training algorithms might also use the ML storage volume for scratch space. If you want to store the training data in the ML storage volume, choose File as the TrainingInputMode in the algorithm specification.

    When using an ML instance with NVMe SSD volumes, SageMaker doesn't provision Amazon EBS General Purpose SSD (gp2) storage. Available storage is fixed to the NVMe-type instance's storage capacity. SageMaker configures storage paths for training datasets, checkpoints, model artifacts, and outputs to use the entire capacity of the instance storage. For example, ML instance families with the NVMe-type instance storage include ml.p4d, ml.g4dn, and ml.g5.

    When using an ML instance with the EBS-only storage option and without instance storage, you must define the size of EBS volume through VolumeSizeInGB in the ResourceConfig API. For example, ML instance families that use EBS volumes include ml.c5 and ml.p2.

    To look up instance types and their instance storage types and volumes, see Amazon EC2 Instance Types.

    To find the default local paths defined by the SageMaker training platform, see Amazon SageMaker Training Storage Folders for Training Datasets, Checkpoints, Model Artifacts, and Outputs.

Instances

Instances details
FromJSON ResourceConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ResourceConfig

Methods

parseJSON :: Value -> Parser ResourceConfig #

parseJSONList :: Value -> Parser [ResourceConfig] #

ToJSON ResourceConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ResourceConfig

Methods

toJSON :: ResourceConfig -> Value #

toEncoding :: ResourceConfig -> Encoding #

toJSONList :: [ResourceConfig] -> Value #

toEncodingList :: [ResourceConfig] -> Encoding #

Generic ResourceConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ResourceConfig

Associated Types

type Rep ResourceConfig :: Type -> Type #

Methods

from :: ResourceConfig -> Rep ResourceConfig x #

to :: Rep ResourceConfig x -> ResourceConfig #

Read ResourceConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ResourceConfig

Methods

readsPrec :: Int -> ReadS ResourceConfig #

readList :: ReadS [ResourceConfig] #

readPrec :: ReadPrec ResourceConfig #

readListPrec :: ReadPrec [ResourceConfig] #

Show ResourceConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ResourceConfig

Methods

showsPrec :: Int -> ResourceConfig -> ShowS #

show :: ResourceConfig -> String #

showList :: [ResourceConfig] -> ShowS #

NFData ResourceConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ResourceConfig

Methods

rnf :: ResourceConfig -> () #

Eq ResourceConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ResourceConfig

Methods

(==) :: ResourceConfig -> ResourceConfig -> Bool #

(/=) :: ResourceConfig -> ResourceConfig -> Bool #

Hashable ResourceConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ResourceConfig

Methods

hashWithSalt :: Int -> ResourceConfig -> Int #

hash :: ResourceConfig -> Int #

type Rep ResourceConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ResourceConfig

type Rep ResourceConfig = D1 ('MetaData "ResourceConfig" "Amazonka.SageMaker.Types.ResourceConfig" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "ResourceConfig'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "instanceCount") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural)) :*: (S1 ('MetaSel ('Just "instanceGroups") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [InstanceGroup])) :*: S1 ('MetaSel ('Just "instanceType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe TrainingInstanceType)))) :*: (S1 ('MetaSel ('Just "keepAlivePeriodInSeconds") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural)) :*: (S1 ('MetaSel ('Just "volumeKmsKeyId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "volumeSizeInGB") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Natural)))))

newResourceConfig Source #

Arguments

:: Natural

$sel:volumeSizeInGB:ResourceConfig'

-> ResourceConfig 

Create a value of ResourceConfig with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

ResourceConfig, resourceConfig_instanceCount - The number of ML compute instances to use. For distributed training, provide a value greater than 1.

$sel:instanceGroups:ResourceConfig', resourceConfig_instanceGroups - The configuration of a heterogeneous cluster in JSON format.

ResourceConfig, resourceConfig_instanceType - The ML compute instance type.

SageMaker Training on Amazon Elastic Compute Cloud (EC2) P4de instances is in preview release starting December 9th, 2022.

Amazon EC2 P4de instances (currently in preview) are powered by 8 NVIDIA A100 GPUs with 80GB high-performance HBM2e GPU memory, which accelerate the speed of training ML models that need to be trained on large datasets of high-resolution data. In this preview release, Amazon SageMaker supports ML training jobs on P4de instances (ml.p4de.24xlarge) to reduce model training time. The ml.p4de.24xlarge instances are available in the following Amazon Web Services Regions.

  • US East (N. Virginia) (us-east-1)
  • US West (Oregon) (us-west-2)

To request quota limit increase and start using P4de instances, contact the SageMaker Training service team through your account team.

$sel:keepAlivePeriodInSeconds:ResourceConfig', resourceConfig_keepAlivePeriodInSeconds - The duration of time in seconds to retain configured resources in a warm pool for subsequent training jobs.

$sel:volumeKmsKeyId:ResourceConfig', resourceConfig_volumeKmsKeyId - The Amazon Web Services KMS key that SageMaker uses to encrypt data on the storage volume attached to the ML compute instance(s) that run the training job.

Certain Nitro-based instances include local storage, dependent on the instance type. Local storage volumes are encrypted using a hardware module on the instance. You can't request a VolumeKmsKeyId when using an instance type with local storage.

For a list of instance types that support local instance storage, see Instance Store Volumes.

For more information about local instance storage encryption, see SSD Instance Store Volumes.

The VolumeKmsKeyId can be in any of the following formats:

  • // KMS Key ID

    "1234abcd-12ab-34cd-56ef-1234567890ab"

  • // Amazon Resource Name (ARN) of a KMS Key

    "arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab"

$sel:volumeSizeInGB:ResourceConfig', resourceConfig_volumeSizeInGB - The size of the ML storage volume that you want to provision.

ML storage volumes store model artifacts and incremental states. Training algorithms might also use the ML storage volume for scratch space. If you want to store the training data in the ML storage volume, choose File as the TrainingInputMode in the algorithm specification.

When using an ML instance with NVMe SSD volumes, SageMaker doesn't provision Amazon EBS General Purpose SSD (gp2) storage. Available storage is fixed to the NVMe-type instance's storage capacity. SageMaker configures storage paths for training datasets, checkpoints, model artifacts, and outputs to use the entire capacity of the instance storage. For example, ML instance families with the NVMe-type instance storage include ml.p4d, ml.g4dn, and ml.g5.

When using an ML instance with the EBS-only storage option and without instance storage, you must define the size of EBS volume through VolumeSizeInGB in the ResourceConfig API. For example, ML instance families that use EBS volumes include ml.c5 and ml.p2.

To look up instance types and their instance storage types and volumes, see Amazon EC2 Instance Types.

To find the default local paths defined by the SageMaker training platform, see Amazon SageMaker Training Storage Folders for Training Datasets, Checkpoints, Model Artifacts, and Outputs.

resourceConfig_instanceCount :: Lens' ResourceConfig (Maybe Natural) Source #

The number of ML compute instances to use. For distributed training, provide a value greater than 1.

resourceConfig_instanceGroups :: Lens' ResourceConfig (Maybe [InstanceGroup]) Source #

The configuration of a heterogeneous cluster in JSON format.

resourceConfig_instanceType :: Lens' ResourceConfig (Maybe TrainingInstanceType) Source #

The ML compute instance type.

SageMaker Training on Amazon Elastic Compute Cloud (EC2) P4de instances is in preview release starting December 9th, 2022.

Amazon EC2 P4de instances (currently in preview) are powered by 8 NVIDIA A100 GPUs with 80GB high-performance HBM2e GPU memory, which accelerate the speed of training ML models that need to be trained on large datasets of high-resolution data. In this preview release, Amazon SageMaker supports ML training jobs on P4de instances (ml.p4de.24xlarge) to reduce model training time. The ml.p4de.24xlarge instances are available in the following Amazon Web Services Regions.

  • US East (N. Virginia) (us-east-1)
  • US West (Oregon) (us-west-2)

To request quota limit increase and start using P4de instances, contact the SageMaker Training service team through your account team.

resourceConfig_keepAlivePeriodInSeconds :: Lens' ResourceConfig (Maybe Natural) Source #

The duration of time in seconds to retain configured resources in a warm pool for subsequent training jobs.

resourceConfig_volumeKmsKeyId :: Lens' ResourceConfig (Maybe Text) Source #

The Amazon Web Services KMS key that SageMaker uses to encrypt data on the storage volume attached to the ML compute instance(s) that run the training job.

Certain Nitro-based instances include local storage, dependent on the instance type. Local storage volumes are encrypted using a hardware module on the instance. You can't request a VolumeKmsKeyId when using an instance type with local storage.

For a list of instance types that support local instance storage, see Instance Store Volumes.

For more information about local instance storage encryption, see SSD Instance Store Volumes.

The VolumeKmsKeyId can be in any of the following formats:

  • // KMS Key ID

    "1234abcd-12ab-34cd-56ef-1234567890ab"

  • // Amazon Resource Name (ARN) of a KMS Key

    "arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab"

resourceConfig_volumeSizeInGB :: Lens' ResourceConfig Natural Source #

The size of the ML storage volume that you want to provision.

ML storage volumes store model artifacts and incremental states. Training algorithms might also use the ML storage volume for scratch space. If you want to store the training data in the ML storage volume, choose File as the TrainingInputMode in the algorithm specification.

When using an ML instance with NVMe SSD volumes, SageMaker doesn't provision Amazon EBS General Purpose SSD (gp2) storage. Available storage is fixed to the NVMe-type instance's storage capacity. SageMaker configures storage paths for training datasets, checkpoints, model artifacts, and outputs to use the entire capacity of the instance storage. For example, ML instance families with the NVMe-type instance storage include ml.p4d, ml.g4dn, and ml.g5.

When using an ML instance with the EBS-only storage option and without instance storage, you must define the size of EBS volume through VolumeSizeInGB in the ResourceConfig API. For example, ML instance families that use EBS volumes include ml.c5 and ml.p2.

To look up instance types and their instance storage types and volumes, see Amazon EC2 Instance Types.

To find the default local paths defined by the SageMaker training platform, see Amazon SageMaker Training Storage Folders for Training Datasets, Checkpoints, Model Artifacts, and Outputs.

ResourceConfigForUpdate

data ResourceConfigForUpdate Source #

The ResourceConfig to update KeepAlivePeriodInSeconds. Other fields in the ResourceConfig cannot be updated.

See: newResourceConfigForUpdate smart constructor.

Constructors

ResourceConfigForUpdate' 

Fields

Instances

Instances details
ToJSON ResourceConfigForUpdate Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ResourceConfigForUpdate

Methods

toJSON :: ResourceConfigForUpdate -> Value #

toEncoding :: ResourceConfigForUpdate -> Encoding #

toJSONList :: [ResourceConfigForUpdate] -> Value #

toEncodingList :: [ResourceConfigForUpdate] -> Encoding #

Generic ResourceConfigForUpdate Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ResourceConfigForUpdate

Associated Types

type Rep ResourceConfigForUpdate :: Type -> Type #

Methods

from :: ResourceConfigForUpdate -> Rep ResourceConfigForUpdate x #

to :: Rep ResourceConfigForUpdate x -> ResourceConfigForUpdate #

Read ResourceConfigForUpdate Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ResourceConfigForUpdate

Methods

readsPrec :: Int -> ReadS ResourceConfigForUpdate #

readList :: ReadS [ResourceConfigForUpdate] #

readPrec :: ReadPrec ResourceConfigForUpdate #

readListPrec :: ReadPrec [ResourceConfigForUpdate] #

Show ResourceConfigForUpdate Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ResourceConfigForUpdate

Methods

showsPrec :: Int -> ResourceConfigForUpdate -> ShowS #

show :: ResourceConfigForUpdate -> String #

showList :: [ResourceConfigForUpdate] -> ShowS #

NFData ResourceConfigForUpdate Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ResourceConfigForUpdate

Methods

rnf :: ResourceConfigForUpdate -> () #

Eq ResourceConfigForUpdate Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ResourceConfigForUpdate

Methods

(==) :: ResourceConfigForUpdate -> ResourceConfigForUpdate -> Bool #

(/=) :: ResourceConfigForUpdate -> ResourceConfigForUpdate -> Bool #

Hashable ResourceConfigForUpdate Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ResourceConfigForUpdate

Methods

hashWithSalt :: Int -> ResourceConfigForUpdate -> Int #

hash :: ResourceConfigForUpdate -> Int #

type Rep ResourceConfigForUpdate Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ResourceConfigForUpdate

type Rep ResourceConfigForUpdate = D1 ('MetaData "ResourceConfigForUpdate" "Amazonka.SageMaker.Types.ResourceConfigForUpdate" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "ResourceConfigForUpdate'" 'PrefixI 'True) (S1 ('MetaSel ('Just "keepAlivePeriodInSeconds") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Natural)))

newResourceConfigForUpdate Source #

Arguments

:: Natural

$sel:keepAlivePeriodInSeconds:ResourceConfigForUpdate'

-> ResourceConfigForUpdate 

Create a value of ResourceConfigForUpdate with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:keepAlivePeriodInSeconds:ResourceConfigForUpdate', resourceConfigForUpdate_keepAlivePeriodInSeconds - The KeepAlivePeriodInSeconds value specified in the ResourceConfig to update.

resourceConfigForUpdate_keepAlivePeriodInSeconds :: Lens' ResourceConfigForUpdate Natural Source #

The KeepAlivePeriodInSeconds value specified in the ResourceConfig to update.

ResourceLimits

data ResourceLimits Source #

Specifies the maximum number of training jobs and parallel training jobs that a hyperparameter tuning job can launch.

See: newResourceLimits smart constructor.

Constructors

ResourceLimits' 

Fields

Instances

Instances details
FromJSON ResourceLimits Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ResourceLimits

Methods

parseJSON :: Value -> Parser ResourceLimits #

parseJSONList :: Value -> Parser [ResourceLimits] #

ToJSON ResourceLimits Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ResourceLimits

Methods

toJSON :: ResourceLimits -> Value #

toEncoding :: ResourceLimits -> Encoding #

toJSONList :: [ResourceLimits] -> Value #

toEncodingList :: [ResourceLimits] -> Encoding #

Generic ResourceLimits Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ResourceLimits

Associated Types

type Rep ResourceLimits :: Type -> Type #

Methods

from :: ResourceLimits -> Rep ResourceLimits x #

to :: Rep ResourceLimits x -> ResourceLimits #

Read ResourceLimits Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ResourceLimits

Methods

readsPrec :: Int -> ReadS ResourceLimits #

readList :: ReadS [ResourceLimits] #

readPrec :: ReadPrec ResourceLimits #

readListPrec :: ReadPrec [ResourceLimits] #

Show ResourceLimits Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ResourceLimits

Methods

showsPrec :: Int -> ResourceLimits -> ShowS #

show :: ResourceLimits -> String #

showList :: [ResourceLimits] -> ShowS #

NFData ResourceLimits Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ResourceLimits

Methods

rnf :: ResourceLimits -> () #

Eq ResourceLimits Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ResourceLimits

Methods

(==) :: ResourceLimits -> ResourceLimits -> Bool #

(/=) :: ResourceLimits -> ResourceLimits -> Bool #

Hashable ResourceLimits Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ResourceLimits

Methods

hashWithSalt :: Int -> ResourceLimits -> Int #

hash :: ResourceLimits -> Int #

type Rep ResourceLimits Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ResourceLimits

type Rep ResourceLimits = D1 ('MetaData "ResourceLimits" "Amazonka.SageMaker.Types.ResourceLimits" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "ResourceLimits'" 'PrefixI 'True) (S1 ('MetaSel ('Just "maxNumberOfTrainingJobs") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural)) :*: S1 ('MetaSel ('Just "maxParallelTrainingJobs") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Natural)))

newResourceLimits Source #

Arguments

:: Natural

$sel:maxParallelTrainingJobs:ResourceLimits'

-> ResourceLimits 

Create a value of ResourceLimits with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:maxNumberOfTrainingJobs:ResourceLimits', resourceLimits_maxNumberOfTrainingJobs - The maximum number of training jobs that a hyperparameter tuning job can launch.

$sel:maxParallelTrainingJobs:ResourceLimits', resourceLimits_maxParallelTrainingJobs - The maximum number of concurrent training jobs that a hyperparameter tuning job can launch.

resourceLimits_maxNumberOfTrainingJobs :: Lens' ResourceLimits (Maybe Natural) Source #

The maximum number of training jobs that a hyperparameter tuning job can launch.

resourceLimits_maxParallelTrainingJobs :: Lens' ResourceLimits Natural Source #

The maximum number of concurrent training jobs that a hyperparameter tuning job can launch.

ResourceSpec

data ResourceSpec Source #

Specifies the ARN's of a SageMaker image and SageMaker image version, and the instance type that the version runs on.

See: newResourceSpec smart constructor.

Constructors

ResourceSpec' 

Fields

  • instanceType :: Maybe AppInstanceType

    The instance type that the image version runs on.

    JupyterServer apps only support the system value.

    For KernelGateway apps, the system value is translated to ml.t3.medium. KernelGateway apps also support all other values for available instance types.

  • lifecycleConfigArn :: Maybe Text

    The Amazon Resource Name (ARN) of the Lifecycle Configuration attached to the Resource.

  • sageMakerImageArn :: Maybe Text

    The ARN of the SageMaker image that the image version belongs to.

  • sageMakerImageVersionArn :: Maybe Text

    The ARN of the image version created on the instance.

Instances

Instances details
FromJSON ResourceSpec Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ResourceSpec

Methods

parseJSON :: Value -> Parser ResourceSpec #

parseJSONList :: Value -> Parser [ResourceSpec] #

ToJSON ResourceSpec Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ResourceSpec

Methods

toJSON :: ResourceSpec -> Value #

toEncoding :: ResourceSpec -> Encoding #

toJSONList :: [ResourceSpec] -> Value #

toEncodingList :: [ResourceSpec] -> Encoding #

Generic ResourceSpec Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ResourceSpec

Associated Types

type Rep ResourceSpec :: Type -> Type #

Methods

from :: ResourceSpec -> Rep ResourceSpec x #

to :: Rep ResourceSpec x -> ResourceSpec #

Read ResourceSpec Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ResourceSpec

Methods

readsPrec :: Int -> ReadS ResourceSpec #

readList :: ReadS [ResourceSpec] #

readPrec :: ReadPrec ResourceSpec #

readListPrec :: ReadPrec [ResourceSpec] #

Show ResourceSpec Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ResourceSpec

Methods

showsPrec :: Int -> ResourceSpec -> ShowS #

show :: ResourceSpec -> String #

showList :: [ResourceSpec] -> ShowS #

NFData ResourceSpec Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ResourceSpec

Methods

rnf :: ResourceSpec -> () #

Eq ResourceSpec Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ResourceSpec

Methods

(==) :: ResourceSpec -> ResourceSpec -> Bool #

(/=) :: ResourceSpec -> ResourceSpec -> Bool #

Hashable ResourceSpec Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ResourceSpec

Methods

hashWithSalt :: Int -> ResourceSpec -> Int #

hash :: ResourceSpec -> Int #

type Rep ResourceSpec Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ResourceSpec

type Rep ResourceSpec = D1 ('MetaData "ResourceSpec" "Amazonka.SageMaker.Types.ResourceSpec" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "ResourceSpec'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "instanceType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe AppInstanceType)) :*: S1 ('MetaSel ('Just "lifecycleConfigArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))) :*: (S1 ('MetaSel ('Just "sageMakerImageArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "sageMakerImageVersionArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))))

newResourceSpec :: ResourceSpec Source #

Create a value of ResourceSpec with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:instanceType:ResourceSpec', resourceSpec_instanceType - The instance type that the image version runs on.

JupyterServer apps only support the system value.

For KernelGateway apps, the system value is translated to ml.t3.medium. KernelGateway apps also support all other values for available instance types.

$sel:lifecycleConfigArn:ResourceSpec', resourceSpec_lifecycleConfigArn - The Amazon Resource Name (ARN) of the Lifecycle Configuration attached to the Resource.

$sel:sageMakerImageArn:ResourceSpec', resourceSpec_sageMakerImageArn - The ARN of the SageMaker image that the image version belongs to.

$sel:sageMakerImageVersionArn:ResourceSpec', resourceSpec_sageMakerImageVersionArn - The ARN of the image version created on the instance.

resourceSpec_instanceType :: Lens' ResourceSpec (Maybe AppInstanceType) Source #

The instance type that the image version runs on.

JupyterServer apps only support the system value.

For KernelGateway apps, the system value is translated to ml.t3.medium. KernelGateway apps also support all other values for available instance types.

resourceSpec_lifecycleConfigArn :: Lens' ResourceSpec (Maybe Text) Source #

The Amazon Resource Name (ARN) of the Lifecycle Configuration attached to the Resource.

resourceSpec_sageMakerImageArn :: Lens' ResourceSpec (Maybe Text) Source #

The ARN of the SageMaker image that the image version belongs to.

resourceSpec_sageMakerImageVersionArn :: Lens' ResourceSpec (Maybe Text) Source #

The ARN of the image version created on the instance.

RetentionPolicy

data RetentionPolicy Source #

The retention policy for data stored on an Amazon Elastic File System (EFS) volume.

See: newRetentionPolicy smart constructor.

Constructors

RetentionPolicy' 

Fields

  • homeEfsFileSystem :: Maybe RetentionType

    The default is Retain, which specifies to keep the data stored on the EFS volume.

    Specify Delete to delete the data stored on the EFS volume.

Instances

Instances details
ToJSON RetentionPolicy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RetentionPolicy

Methods

toJSON :: RetentionPolicy -> Value #

toEncoding :: RetentionPolicy -> Encoding #

toJSONList :: [RetentionPolicy] -> Value #

toEncodingList :: [RetentionPolicy] -> Encoding #

Generic RetentionPolicy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RetentionPolicy

Associated Types

type Rep RetentionPolicy :: Type -> Type #

Methods

from :: RetentionPolicy -> Rep RetentionPolicy x #

to :: Rep RetentionPolicy x -> RetentionPolicy #

Read RetentionPolicy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RetentionPolicy

Methods

readsPrec :: Int -> ReadS RetentionPolicy #

readList :: ReadS [RetentionPolicy] #

readPrec :: ReadPrec RetentionPolicy #

readListPrec :: ReadPrec [RetentionPolicy] #

Show RetentionPolicy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RetentionPolicy

Methods

showsPrec :: Int -> RetentionPolicy -> ShowS #

show :: RetentionPolicy -> String #

showList :: [RetentionPolicy] -> ShowS #

NFData RetentionPolicy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RetentionPolicy

Methods

rnf :: RetentionPolicy -> () #

Eq RetentionPolicy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RetentionPolicy

Methods

(==) :: RetentionPolicy -> RetentionPolicy -> Bool #

(/=) :: RetentionPolicy -> RetentionPolicy -> Bool #

Hashable RetentionPolicy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RetentionPolicy

Methods

hashWithSalt :: Int -> RetentionPolicy -> Int #

hash :: RetentionPolicy -> Int #

type Rep RetentionPolicy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RetentionPolicy

type Rep RetentionPolicy = D1 ('MetaData "RetentionPolicy" "Amazonka.SageMaker.Types.RetentionPolicy" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "RetentionPolicy'" 'PrefixI 'True) (S1 ('MetaSel ('Just "homeEfsFileSystem") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe RetentionType))))

newRetentionPolicy :: RetentionPolicy Source #

Create a value of RetentionPolicy with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:homeEfsFileSystem:RetentionPolicy', retentionPolicy_homeEfsFileSystem - The default is Retain, which specifies to keep the data stored on the EFS volume.

Specify Delete to delete the data stored on the EFS volume.

retentionPolicy_homeEfsFileSystem :: Lens' RetentionPolicy (Maybe RetentionType) Source #

The default is Retain, which specifies to keep the data stored on the EFS volume.

Specify Delete to delete the data stored on the EFS volume.

RetryStrategy

data RetryStrategy Source #

The retry strategy to use when a training job fails due to an InternalServerError. RetryStrategy is specified as part of the CreateTrainingJob and CreateHyperParameterTuningJob requests. You can add the StoppingCondition parameter to the request to limit the training time for the complete job.

See: newRetryStrategy smart constructor.

Constructors

RetryStrategy' 

Fields

  • maximumRetryAttempts :: Natural

    The number of times to retry the job. When the job is retried, it's SecondaryStatus is changed to STARTING.

Instances

Instances details
FromJSON RetryStrategy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RetryStrategy

Methods

parseJSON :: Value -> Parser RetryStrategy #

parseJSONList :: Value -> Parser [RetryStrategy] #

ToJSON RetryStrategy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RetryStrategy

Methods

toJSON :: RetryStrategy -> Value #

toEncoding :: RetryStrategy -> Encoding #

toJSONList :: [RetryStrategy] -> Value #

toEncodingList :: [RetryStrategy] -> Encoding #

Generic RetryStrategy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RetryStrategy

Associated Types

type Rep RetryStrategy :: Type -> Type #

Methods

from :: RetryStrategy -> Rep RetryStrategy x #

to :: Rep RetryStrategy x -> RetryStrategy #

Read RetryStrategy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RetryStrategy

Methods

readsPrec :: Int -> ReadS RetryStrategy #

readList :: ReadS [RetryStrategy] #

readPrec :: ReadPrec RetryStrategy #

readListPrec :: ReadPrec [RetryStrategy] #

Show RetryStrategy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RetryStrategy

Methods

showsPrec :: Int -> RetryStrategy -> ShowS #

show :: RetryStrategy -> String #

showList :: [RetryStrategy] -> ShowS #

NFData RetryStrategy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RetryStrategy

Methods

rnf :: RetryStrategy -> () #

Eq RetryStrategy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RetryStrategy

Methods

(==) :: RetryStrategy -> RetryStrategy -> Bool #

(/=) :: RetryStrategy -> RetryStrategy -> Bool #

Hashable RetryStrategy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RetryStrategy

Methods

hashWithSalt :: Int -> RetryStrategy -> Int #

hash :: RetryStrategy -> Int #

type Rep RetryStrategy Source # 
Instance details

Defined in Amazonka.SageMaker.Types.RetryStrategy

type Rep RetryStrategy = D1 ('MetaData "RetryStrategy" "Amazonka.SageMaker.Types.RetryStrategy" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "RetryStrategy'" 'PrefixI 'True) (S1 ('MetaSel ('Just "maximumRetryAttempts") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Natural)))

newRetryStrategy Source #

Arguments

:: Natural

$sel:maximumRetryAttempts:RetryStrategy'

-> RetryStrategy 

Create a value of RetryStrategy with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:maximumRetryAttempts:RetryStrategy', retryStrategy_maximumRetryAttempts - The number of times to retry the job. When the job is retried, it's SecondaryStatus is changed to STARTING.

retryStrategy_maximumRetryAttempts :: Lens' RetryStrategy Natural Source #

The number of times to retry the job. When the job is retried, it's SecondaryStatus is changed to STARTING.

S3DataSource

data S3DataSource Source #

Describes the S3 data source.

See: newS3DataSource smart constructor.

Constructors

S3DataSource' 

Fields

  • attributeNames :: Maybe [Text]

    A list of one or more attribute names to use that are found in a specified augmented manifest file.

  • instanceGroupNames :: Maybe [Text]

    A list of names of instance groups that get data from the S3 data source.

  • s3DataDistributionType :: Maybe S3DataDistribution

    If you want SageMaker to replicate the entire dataset on each ML compute instance that is launched for model training, specify FullyReplicated.

    If you want SageMaker to replicate a subset of data on each ML compute instance that is launched for model training, specify ShardedByS3Key. If there are n ML compute instances launched for a training job, each instance gets approximately 1/n of the number of S3 objects. In this case, model training on each machine uses only the subset of training data.

    Don't choose more ML compute instances for training than available S3 objects. If you do, some nodes won't get any data and you will pay for nodes that aren't getting any training data. This applies in both File and Pipe modes. Keep this in mind when developing algorithms.

    In distributed training, where you use multiple ML compute EC2 instances, you might choose ShardedByS3Key. If the algorithm requires copying training data to the ML storage volume (when TrainingInputMode is set to File), this copies 1/n of the number of objects.

  • s3DataType :: S3DataType

    If you choose S3Prefix, S3Uri identifies a key name prefix. SageMaker uses all objects that match the specified key name prefix for model training.

    If you choose ManifestFile, S3Uri identifies an object that is a manifest file containing a list of object keys that you want SageMaker to use for model training.

    If you choose AugmentedManifestFile, S3Uri identifies an object that is an augmented manifest file in JSON lines format. This file contains the data you want to use for model training. AugmentedManifestFile can only be used if the Channel's input mode is Pipe.

  • s3Uri :: Text

    Depending on the value specified for the S3DataType, identifies either a key name prefix or a manifest. For example:

    • A key name prefix might look like this: s3://bucketname/exampleprefix

    • A manifest might look like this: s3://bucketname/example.manifest

      A manifest is an S3 object which is a JSON file consisting of an array of elements. The first element is a prefix which is followed by one or more suffixes. SageMaker appends the suffix elements to the prefix to get a full set of S3Uri. Note that the prefix must be a valid non-empty S3Uri that precludes users from specifying a manifest whose individual S3Uri is sourced from different S3 buckets.

      The following code example shows a valid manifest format:

      [ {"prefix": "s3://customer_bucket/some/prefix/"},
       "relative/path/to/custdata-1",
       "relative/path/custdata-2",
       ...
       "relative/path/custdata-N"
      ]

      This JSON is equivalent to the following S3Uri list:

      s3://customer_bucket/some/prefix/relative/path/to/custdata-1
      s3://customer_bucket/some/prefix/relative/path/custdata-2
      ...
      s3://customer_bucket/some/prefix/relative/path/custdata-N

      The complete set of S3Uri in this manifest is the input data for the channel for this data source. The object that each S3Uri points to must be readable by the IAM role that SageMaker uses to perform tasks on your behalf.

Instances

Instances details
FromJSON S3DataSource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.S3DataSource

Methods

parseJSON :: Value -> Parser S3DataSource #

parseJSONList :: Value -> Parser [S3DataSource] #

ToJSON S3DataSource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.S3DataSource

Methods

toJSON :: S3DataSource -> Value #

toEncoding :: S3DataSource -> Encoding #

toJSONList :: [S3DataSource] -> Value #

toEncodingList :: [S3DataSource] -> Encoding #

Generic S3DataSource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.S3DataSource

Associated Types

type Rep S3DataSource :: Type -> Type #

Methods

from :: S3DataSource -> Rep S3DataSource x #

to :: Rep S3DataSource x -> S3DataSource #

Read S3DataSource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.S3DataSource

Methods

readsPrec :: Int -> ReadS S3DataSource #

readList :: ReadS [S3DataSource] #

readPrec :: ReadPrec S3DataSource #

readListPrec :: ReadPrec [S3DataSource] #

Show S3DataSource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.S3DataSource

Methods

showsPrec :: Int -> S3DataSource -> ShowS #

show :: S3DataSource -> String #

showList :: [S3DataSource] -> ShowS #

NFData S3DataSource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.S3DataSource

Methods

rnf :: S3DataSource -> () #

Eq S3DataSource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.S3DataSource

Methods

(==) :: S3DataSource -> S3DataSource -> Bool #

(/=) :: S3DataSource -> S3DataSource -> Bool #

Hashable S3DataSource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.S3DataSource

Methods

hashWithSalt :: Int -> S3DataSource -> Int #

hash :: S3DataSource -> Int #

type Rep S3DataSource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.S3DataSource

type Rep S3DataSource = D1 ('MetaData "S3DataSource" "Amazonka.SageMaker.Types.S3DataSource" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "S3DataSource'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "attributeNames") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [Text])) :*: S1 ('MetaSel ('Just "instanceGroupNames") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [Text]))) :*: (S1 ('MetaSel ('Just "s3DataDistributionType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe S3DataDistribution)) :*: (S1 ('MetaSel ('Just "s3DataType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 S3DataType) :*: S1 ('MetaSel ('Just "s3Uri") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))))

newS3DataSource Source #

Arguments

:: S3DataType

$sel:s3DataType:S3DataSource'

-> Text

$sel:s3Uri:S3DataSource'

-> S3DataSource 

Create a value of S3DataSource with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:attributeNames:S3DataSource', s3DataSource_attributeNames - A list of one or more attribute names to use that are found in a specified augmented manifest file.

$sel:instanceGroupNames:S3DataSource', s3DataSource_instanceGroupNames - A list of names of instance groups that get data from the S3 data source.

$sel:s3DataDistributionType:S3DataSource', s3DataSource_s3DataDistributionType - If you want SageMaker to replicate the entire dataset on each ML compute instance that is launched for model training, specify FullyReplicated.

If you want SageMaker to replicate a subset of data on each ML compute instance that is launched for model training, specify ShardedByS3Key. If there are n ML compute instances launched for a training job, each instance gets approximately 1/n of the number of S3 objects. In this case, model training on each machine uses only the subset of training data.

Don't choose more ML compute instances for training than available S3 objects. If you do, some nodes won't get any data and you will pay for nodes that aren't getting any training data. This applies in both File and Pipe modes. Keep this in mind when developing algorithms.

In distributed training, where you use multiple ML compute EC2 instances, you might choose ShardedByS3Key. If the algorithm requires copying training data to the ML storage volume (when TrainingInputMode is set to File), this copies 1/n of the number of objects.

$sel:s3DataType:S3DataSource', s3DataSource_s3DataType - If you choose S3Prefix, S3Uri identifies a key name prefix. SageMaker uses all objects that match the specified key name prefix for model training.

If you choose ManifestFile, S3Uri identifies an object that is a manifest file containing a list of object keys that you want SageMaker to use for model training.

If you choose AugmentedManifestFile, S3Uri identifies an object that is an augmented manifest file in JSON lines format. This file contains the data you want to use for model training. AugmentedManifestFile can only be used if the Channel's input mode is Pipe.

$sel:s3Uri:S3DataSource', s3DataSource_s3Uri - Depending on the value specified for the S3DataType, identifies either a key name prefix or a manifest. For example:

  • A key name prefix might look like this: s3://bucketname/exampleprefix

  • A manifest might look like this: s3://bucketname/example.manifest

    A manifest is an S3 object which is a JSON file consisting of an array of elements. The first element is a prefix which is followed by one or more suffixes. SageMaker appends the suffix elements to the prefix to get a full set of S3Uri. Note that the prefix must be a valid non-empty S3Uri that precludes users from specifying a manifest whose individual S3Uri is sourced from different S3 buckets.

    The following code example shows a valid manifest format:

    [ {"prefix": "s3://customer_bucket/some/prefix/"},
     "relative/path/to/custdata-1",
     "relative/path/custdata-2",
     ...
     "relative/path/custdata-N"
    ]

    This JSON is equivalent to the following S3Uri list:

    s3://customer_bucket/some/prefix/relative/path/to/custdata-1
    s3://customer_bucket/some/prefix/relative/path/custdata-2
    ...
    s3://customer_bucket/some/prefix/relative/path/custdata-N

    The complete set of S3Uri in this manifest is the input data for the channel for this data source. The object that each S3Uri points to must be readable by the IAM role that SageMaker uses to perform tasks on your behalf.

s3DataSource_attributeNames :: Lens' S3DataSource (Maybe [Text]) Source #

A list of one or more attribute names to use that are found in a specified augmented manifest file.

s3DataSource_instanceGroupNames :: Lens' S3DataSource (Maybe [Text]) Source #

A list of names of instance groups that get data from the S3 data source.

s3DataSource_s3DataDistributionType :: Lens' S3DataSource (Maybe S3DataDistribution) Source #

If you want SageMaker to replicate the entire dataset on each ML compute instance that is launched for model training, specify FullyReplicated.

If you want SageMaker to replicate a subset of data on each ML compute instance that is launched for model training, specify ShardedByS3Key. If there are n ML compute instances launched for a training job, each instance gets approximately 1/n of the number of S3 objects. In this case, model training on each machine uses only the subset of training data.

Don't choose more ML compute instances for training than available S3 objects. If you do, some nodes won't get any data and you will pay for nodes that aren't getting any training data. This applies in both File and Pipe modes. Keep this in mind when developing algorithms.

In distributed training, where you use multiple ML compute EC2 instances, you might choose ShardedByS3Key. If the algorithm requires copying training data to the ML storage volume (when TrainingInputMode is set to File), this copies 1/n of the number of objects.

s3DataSource_s3DataType :: Lens' S3DataSource S3DataType Source #

If you choose S3Prefix, S3Uri identifies a key name prefix. SageMaker uses all objects that match the specified key name prefix for model training.

If you choose ManifestFile, S3Uri identifies an object that is a manifest file containing a list of object keys that you want SageMaker to use for model training.

If you choose AugmentedManifestFile, S3Uri identifies an object that is an augmented manifest file in JSON lines format. This file contains the data you want to use for model training. AugmentedManifestFile can only be used if the Channel's input mode is Pipe.

s3DataSource_s3Uri :: Lens' S3DataSource Text Source #

Depending on the value specified for the S3DataType, identifies either a key name prefix or a manifest. For example:

  • A key name prefix might look like this: s3://bucketname/exampleprefix

  • A manifest might look like this: s3://bucketname/example.manifest

    A manifest is an S3 object which is a JSON file consisting of an array of elements. The first element is a prefix which is followed by one or more suffixes. SageMaker appends the suffix elements to the prefix to get a full set of S3Uri. Note that the prefix must be a valid non-empty S3Uri that precludes users from specifying a manifest whose individual S3Uri is sourced from different S3 buckets.

    The following code example shows a valid manifest format:

    [ {"prefix": "s3://customer_bucket/some/prefix/"},
     "relative/path/to/custdata-1",
     "relative/path/custdata-2",
     ...
     "relative/path/custdata-N"
    ]

    This JSON is equivalent to the following S3Uri list:

    s3://customer_bucket/some/prefix/relative/path/to/custdata-1
    s3://customer_bucket/some/prefix/relative/path/custdata-2
    ...
    s3://customer_bucket/some/prefix/relative/path/custdata-N

    The complete set of S3Uri in this manifest is the input data for the channel for this data source. The object that each S3Uri points to must be readable by the IAM role that SageMaker uses to perform tasks on your behalf.

S3StorageConfig

data S3StorageConfig Source #

The Amazon Simple Storage (Amazon S3) location and and security configuration for OfflineStore.

See: newS3StorageConfig smart constructor.

Constructors

S3StorageConfig' 

Fields

  • kmsKeyId :: Maybe Text

    The Amazon Web Services Key Management Service (KMS) key ID of the key used to encrypt any objects written into the OfflineStore S3 location.

    The IAM roleARN that is passed as a parameter to CreateFeatureGroup must have below permissions to the KmsKeyId:

    • "kms:GenerateDataKey"
  • resolvedOutputS3Uri :: Maybe Text

    The S3 path where offline records are written.

  • s3Uri :: Text

    The S3 URI, or location in Amazon S3, of OfflineStore.

    S3 URIs have a format similar to the following: s3://example-bucket/prefix/.

Instances

Instances details
FromJSON S3StorageConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.S3StorageConfig

Methods

parseJSON :: Value -> Parser S3StorageConfig #

parseJSONList :: Value -> Parser [S3StorageConfig] #

ToJSON S3StorageConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.S3StorageConfig

Methods

toJSON :: S3StorageConfig -> Value #

toEncoding :: S3StorageConfig -> Encoding #

toJSONList :: [S3StorageConfig] -> Value #

toEncodingList :: [S3StorageConfig] -> Encoding #

Generic S3StorageConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.S3StorageConfig

Associated Types

type Rep S3StorageConfig :: Type -> Type #

Methods

from :: S3StorageConfig -> Rep S3StorageConfig x #

to :: Rep S3StorageConfig x -> S3StorageConfig #

Read S3StorageConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.S3StorageConfig

Methods

readsPrec :: Int -> ReadS S3StorageConfig #

readList :: ReadS [S3StorageConfig] #

readPrec :: ReadPrec S3StorageConfig #

readListPrec :: ReadPrec [S3StorageConfig] #

Show S3StorageConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.S3StorageConfig

Methods

showsPrec :: Int -> S3StorageConfig -> ShowS #

show :: S3StorageConfig -> String #

showList :: [S3StorageConfig] -> ShowS #

NFData S3StorageConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.S3StorageConfig

Methods

rnf :: S3StorageConfig -> () #

Eq S3StorageConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.S3StorageConfig

Methods

(==) :: S3StorageConfig -> S3StorageConfig -> Bool #

(/=) :: S3StorageConfig -> S3StorageConfig -> Bool #

Hashable S3StorageConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.S3StorageConfig

Methods

hashWithSalt :: Int -> S3StorageConfig -> Int #

hash :: S3StorageConfig -> Int #

type Rep S3StorageConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.S3StorageConfig

type Rep S3StorageConfig = D1 ('MetaData "S3StorageConfig" "Amazonka.SageMaker.Types.S3StorageConfig" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "S3StorageConfig'" 'PrefixI 'True) (S1 ('MetaSel ('Just "kmsKeyId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: (S1 ('MetaSel ('Just "resolvedOutputS3Uri") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "s3Uri") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text))))

newS3StorageConfig Source #

Arguments

:: Text

$sel:s3Uri:S3StorageConfig'

-> S3StorageConfig 

Create a value of S3StorageConfig with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:kmsKeyId:S3StorageConfig', s3StorageConfig_kmsKeyId - The Amazon Web Services Key Management Service (KMS) key ID of the key used to encrypt any objects written into the OfflineStore S3 location.

The IAM roleARN that is passed as a parameter to CreateFeatureGroup must have below permissions to the KmsKeyId:

  • "kms:GenerateDataKey"

$sel:resolvedOutputS3Uri:S3StorageConfig', s3StorageConfig_resolvedOutputS3Uri - The S3 path where offline records are written.

$sel:s3Uri:S3StorageConfig', s3StorageConfig_s3Uri - The S3 URI, or location in Amazon S3, of OfflineStore.

S3 URIs have a format similar to the following: s3://example-bucket/prefix/.

s3StorageConfig_kmsKeyId :: Lens' S3StorageConfig (Maybe Text) Source #

The Amazon Web Services Key Management Service (KMS) key ID of the key used to encrypt any objects written into the OfflineStore S3 location.

The IAM roleARN that is passed as a parameter to CreateFeatureGroup must have below permissions to the KmsKeyId:

  • "kms:GenerateDataKey"

s3StorageConfig_resolvedOutputS3Uri :: Lens' S3StorageConfig (Maybe Text) Source #

The S3 path where offline records are written.

s3StorageConfig_s3Uri :: Lens' S3StorageConfig Text Source #

The S3 URI, or location in Amazon S3, of OfflineStore.

S3 URIs have a format similar to the following: s3://example-bucket/prefix/.

ScheduleConfig

data ScheduleConfig Source #

Configuration details about the monitoring schedule.

See: newScheduleConfig smart constructor.

Constructors

ScheduleConfig' 

Fields

  • scheduleExpression :: Text

    A cron expression that describes details about the monitoring schedule.

    Currently the only supported cron expressions are:

    • If you want to set the job to start every hour, please use the following:

      Hourly: cron(0 * ? * * *)

    • If you want to start the job daily:

      cron(0 [00-23] ? * * *)

    For example, the following are valid cron expressions:

    • Daily at noon UTC: cron(0 12 ? * * *)
    • Daily at midnight UTC: cron(0 0 ? * * *)

    To support running every 6, 12 hours, the following are also supported:

    cron(0 [00-23]/[01-24] ? * * *)

    For example, the following are valid cron expressions:

    • Every 12 hours, starting at 5pm UTC: cron(0 17/12 ? * * *)
    • Every two hours starting at midnight: cron(0 0/2 ? * * *)
    • Even though the cron expression is set to start at 5PM UTC, note that there could be a delay of 0-20 minutes from the actual requested time to run the execution.
    • We recommend that if you would like a daily schedule, you do not provide this parameter. Amazon SageMaker will pick a time for running every day.

Instances

Instances details
FromJSON ScheduleConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ScheduleConfig

Methods

parseJSON :: Value -> Parser ScheduleConfig #

parseJSONList :: Value -> Parser [ScheduleConfig] #

ToJSON ScheduleConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ScheduleConfig

Methods

toJSON :: ScheduleConfig -> Value #

toEncoding :: ScheduleConfig -> Encoding #

toJSONList :: [ScheduleConfig] -> Value #

toEncodingList :: [ScheduleConfig] -> Encoding #

Generic ScheduleConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ScheduleConfig

Associated Types

type Rep ScheduleConfig :: Type -> Type #

Methods

from :: ScheduleConfig -> Rep ScheduleConfig x #

to :: Rep ScheduleConfig x -> ScheduleConfig #

Read ScheduleConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ScheduleConfig

Methods

readsPrec :: Int -> ReadS ScheduleConfig #

readList :: ReadS [ScheduleConfig] #

readPrec :: ReadPrec ScheduleConfig #

readListPrec :: ReadPrec [ScheduleConfig] #

Show ScheduleConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ScheduleConfig

Methods

showsPrec :: Int -> ScheduleConfig -> ShowS #

show :: ScheduleConfig -> String #

showList :: [ScheduleConfig] -> ShowS #

NFData ScheduleConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ScheduleConfig

Methods

rnf :: ScheduleConfig -> () #

Eq ScheduleConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ScheduleConfig

Methods

(==) :: ScheduleConfig -> ScheduleConfig -> Bool #

(/=) :: ScheduleConfig -> ScheduleConfig -> Bool #

Hashable ScheduleConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ScheduleConfig

Methods

hashWithSalt :: Int -> ScheduleConfig -> Int #

hash :: ScheduleConfig -> Int #

type Rep ScheduleConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ScheduleConfig

type Rep ScheduleConfig = D1 ('MetaData "ScheduleConfig" "Amazonka.SageMaker.Types.ScheduleConfig" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "ScheduleConfig'" 'PrefixI 'True) (S1 ('MetaSel ('Just "scheduleExpression") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))

newScheduleConfig Source #

Arguments

:: Text

$sel:scheduleExpression:ScheduleConfig'

-> ScheduleConfig 

Create a value of ScheduleConfig with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:scheduleExpression:ScheduleConfig', scheduleConfig_scheduleExpression - A cron expression that describes details about the monitoring schedule.

Currently the only supported cron expressions are:

  • If you want to set the job to start every hour, please use the following:

    Hourly: cron(0 * ? * * *)

  • If you want to start the job daily:

    cron(0 [00-23] ? * * *)

For example, the following are valid cron expressions:

  • Daily at noon UTC: cron(0 12 ? * * *)
  • Daily at midnight UTC: cron(0 0 ? * * *)

To support running every 6, 12 hours, the following are also supported:

cron(0 [00-23]/[01-24] ? * * *)

For example, the following are valid cron expressions:

  • Every 12 hours, starting at 5pm UTC: cron(0 17/12 ? * * *)
  • Every two hours starting at midnight: cron(0 0/2 ? * * *)
  • Even though the cron expression is set to start at 5PM UTC, note that there could be a delay of 0-20 minutes from the actual requested time to run the execution.
  • We recommend that if you would like a daily schedule, you do not provide this parameter. Amazon SageMaker will pick a time for running every day.

scheduleConfig_scheduleExpression :: Lens' ScheduleConfig Text Source #

A cron expression that describes details about the monitoring schedule.

Currently the only supported cron expressions are:

  • If you want to set the job to start every hour, please use the following:

    Hourly: cron(0 * ? * * *)

  • If you want to start the job daily:

    cron(0 [00-23] ? * * *)

For example, the following are valid cron expressions:

  • Daily at noon UTC: cron(0 12 ? * * *)
  • Daily at midnight UTC: cron(0 0 ? * * *)

To support running every 6, 12 hours, the following are also supported:

cron(0 [00-23]/[01-24] ? * * *)

For example, the following are valid cron expressions:

  • Every 12 hours, starting at 5pm UTC: cron(0 17/12 ? * * *)
  • Every two hours starting at midnight: cron(0 0/2 ? * * *)
  • Even though the cron expression is set to start at 5PM UTC, note that there could be a delay of 0-20 minutes from the actual requested time to run the execution.
  • We recommend that if you would like a daily schedule, you do not provide this parameter. Amazon SageMaker will pick a time for running every day.

SearchExpression

data SearchExpression Source #

A multi-expression that searches for the specified resource or resources in a search. All resource objects that satisfy the expression's condition are included in the search results. You must specify at least one subexpression, filter, or nested filter. A SearchExpression can contain up to twenty elements.

A SearchExpression contains the following components:

  • A list of Filter objects. Each filter defines a simple Boolean expression comprised of a resource property name, Boolean operator, and value.
  • A list of NestedFilter objects. Each nested filter defines a list of Boolean expressions using a list of resource properties. A nested filter is satisfied if a single object in the list satisfies all Boolean expressions.
  • A list of SearchExpression objects. A search expression object can be nested in a list of search expression objects.
  • A Boolean operator: And or Or.

See: newSearchExpression smart constructor.

Constructors

SearchExpression' 

Fields

Instances

Instances details
ToJSON SearchExpression Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SearchExpression

Methods

toJSON :: SearchExpression -> Value #

toEncoding :: SearchExpression -> Encoding #

toJSONList :: [SearchExpression] -> Value #

toEncodingList :: [SearchExpression] -> Encoding #

Generic SearchExpression Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SearchExpression

Associated Types

type Rep SearchExpression :: Type -> Type #

Methods

from :: SearchExpression -> Rep SearchExpression x #

to :: Rep SearchExpression x -> SearchExpression #

Read SearchExpression Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SearchExpression

Methods

readsPrec :: Int -> ReadS SearchExpression #

readList :: ReadS [SearchExpression] #

readPrec :: ReadPrec SearchExpression #

readListPrec :: ReadPrec [SearchExpression] #

Show SearchExpression Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SearchExpression

Methods

showsPrec :: Int -> SearchExpression -> ShowS #

show :: SearchExpression -> String #

showList :: [SearchExpression] -> ShowS #

NFData SearchExpression Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SearchExpression

Methods

rnf :: SearchExpression -> () #

Eq SearchExpression Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SearchExpression

Methods

(==) :: SearchExpression -> SearchExpression -> Bool #

(/=) :: SearchExpression -> SearchExpression -> Bool #

Hashable SearchExpression Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SearchExpression

Methods

hashWithSalt :: Int -> SearchExpression -> Int #

hash :: SearchExpression -> Int #

type Rep SearchExpression Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SearchExpression

type Rep SearchExpression = D1 ('MetaData "SearchExpression" "Amazonka.SageMaker.Types.SearchExpression" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "SearchExpression'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "filters") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe (NonEmpty Filter))) :*: S1 ('MetaSel ('Just "nestedFilters") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe (NonEmpty NestedFilters)))) :*: (S1 ('MetaSel ('Just "operator") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe BooleanOperator)) :*: S1 ('MetaSel ('Just "subExpressions") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe (NonEmpty SearchExpression))))))

newSearchExpression :: SearchExpression Source #

Create a value of SearchExpression with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

SearchExpression, searchExpression_filters - A list of filter objects.

$sel:nestedFilters:SearchExpression', searchExpression_nestedFilters - A list of nested filter objects.

SearchExpression, searchExpression_operator - A Boolean operator used to evaluate the search expression. If you want every conditional statement in all lists to be satisfied for the entire search expression to be true, specify And. If only a single conditional statement needs to be true for the entire search expression to be true, specify Or. The default value is And.

$sel:subExpressions:SearchExpression', searchExpression_subExpressions - A list of search expression objects.

searchExpression_filters :: Lens' SearchExpression (Maybe (NonEmpty Filter)) Source #

A list of filter objects.

searchExpression_nestedFilters :: Lens' SearchExpression (Maybe (NonEmpty NestedFilters)) Source #

A list of nested filter objects.

searchExpression_operator :: Lens' SearchExpression (Maybe BooleanOperator) Source #

A Boolean operator used to evaluate the search expression. If you want every conditional statement in all lists to be satisfied for the entire search expression to be true, specify And. If only a single conditional statement needs to be true for the entire search expression to be true, specify Or. The default value is And.

searchExpression_subExpressions :: Lens' SearchExpression (Maybe (NonEmpty SearchExpression)) Source #

A list of search expression objects.

SearchRecord

data SearchRecord Source #

A single resource returned as part of the Search API response.

See: newSearchRecord smart constructor.

Constructors

SearchRecord' 

Fields

Instances

Instances details
FromJSON SearchRecord Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SearchRecord

Methods

parseJSON :: Value -> Parser SearchRecord #

parseJSONList :: Value -> Parser [SearchRecord] #

Generic SearchRecord Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SearchRecord

Associated Types

type Rep SearchRecord :: Type -> Type #

Methods

from :: SearchRecord -> Rep SearchRecord x #

to :: Rep SearchRecord x -> SearchRecord #

Show SearchRecord Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SearchRecord

Methods

showsPrec :: Int -> SearchRecord -> ShowS #

show :: SearchRecord -> String #

showList :: [SearchRecord] -> ShowS #

NFData SearchRecord Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SearchRecord

Methods

rnf :: SearchRecord -> () #

Eq SearchRecord Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SearchRecord

Methods

(==) :: SearchRecord -> SearchRecord -> Bool #

(/=) :: SearchRecord -> SearchRecord -> Bool #

Hashable SearchRecord Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SearchRecord

Methods

hashWithSalt :: Int -> SearchRecord -> Int #

hash :: SearchRecord -> Int #

type Rep SearchRecord Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SearchRecord

type Rep SearchRecord = D1 ('MetaData "SearchRecord" "Amazonka.SageMaker.Types.SearchRecord" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "SearchRecord'" 'PrefixI 'True) (((S1 ('MetaSel ('Just "endpoint") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Endpoint)) :*: (S1 ('MetaSel ('Just "experiment") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Experiment)) :*: S1 ('MetaSel ('Just "featureGroup") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe FeatureGroup)))) :*: ((S1 ('MetaSel ('Just "featureMetadata") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe FeatureMetadata)) :*: S1 ('MetaSel ('Just "hyperParameterTuningJob") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe HyperParameterTuningJobSearchEntity))) :*: (S1 ('MetaSel ('Just "model") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ModelDashboardModel)) :*: S1 ('MetaSel ('Just "modelCard") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ModelCard))))) :*: (((S1 ('MetaSel ('Just "modelPackage") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ModelPackage)) :*: S1 ('MetaSel ('Just "modelPackageGroup") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ModelPackageGroup))) :*: (S1 ('MetaSel ('Just "pipeline") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Pipeline)) :*: S1 ('MetaSel ('Just "pipelineExecution") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe PipelineExecution)))) :*: ((S1 ('MetaSel ('Just "project") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Project)) :*: S1 ('MetaSel ('Just "trainingJob") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe TrainingJob))) :*: (S1 ('MetaSel ('Just "trial") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Trial)) :*: S1 ('MetaSel ('Just "trialComponent") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe TrialComponent)))))))

newSearchRecord :: SearchRecord Source #

Create a value of SearchRecord with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:endpoint:SearchRecord', searchRecord_endpoint - Undocumented member.

$sel:experiment:SearchRecord', searchRecord_experiment - The properties of an experiment.

$sel:featureGroup:SearchRecord', searchRecord_featureGroup - Undocumented member.

$sel:featureMetadata:SearchRecord', searchRecord_featureMetadata - The feature metadata used to search through the features.

$sel:hyperParameterTuningJob:SearchRecord', searchRecord_hyperParameterTuningJob - The properties of a hyperparameter tuning job.

SearchRecord, searchRecord_model - Undocumented member.

SearchRecord, searchRecord_modelCard - An Amazon SageMaker Model Card that documents details about a machine learning model.

$sel:modelPackage:SearchRecord', searchRecord_modelPackage - Undocumented member.

$sel:modelPackageGroup:SearchRecord', searchRecord_modelPackageGroup - Undocumented member.

$sel:pipeline:SearchRecord', searchRecord_pipeline - Undocumented member.

$sel:pipelineExecution:SearchRecord', searchRecord_pipelineExecution - Undocumented member.

$sel:project:SearchRecord', searchRecord_project - The properties of a project.

$sel:trainingJob:SearchRecord', searchRecord_trainingJob - The properties of a training job.

$sel:trial:SearchRecord', searchRecord_trial - The properties of a trial.

$sel:trialComponent:SearchRecord', searchRecord_trialComponent - The properties of a trial component.

searchRecord_endpoint :: Lens' SearchRecord (Maybe Endpoint) Source #

Undocumented member.

searchRecord_experiment :: Lens' SearchRecord (Maybe Experiment) Source #

The properties of an experiment.

searchRecord_featureGroup :: Lens' SearchRecord (Maybe FeatureGroup) Source #

Undocumented member.

searchRecord_featureMetadata :: Lens' SearchRecord (Maybe FeatureMetadata) Source #

The feature metadata used to search through the features.

searchRecord_hyperParameterTuningJob :: Lens' SearchRecord (Maybe HyperParameterTuningJobSearchEntity) Source #

The properties of a hyperparameter tuning job.

searchRecord_model :: Lens' SearchRecord (Maybe ModelDashboardModel) Source #

Undocumented member.

searchRecord_modelCard :: Lens' SearchRecord (Maybe ModelCard) Source #

An Amazon SageMaker Model Card that documents details about a machine learning model.

searchRecord_modelPackage :: Lens' SearchRecord (Maybe ModelPackage) Source #

Undocumented member.

searchRecord_modelPackageGroup :: Lens' SearchRecord (Maybe ModelPackageGroup) Source #

Undocumented member.

searchRecord_pipeline :: Lens' SearchRecord (Maybe Pipeline) Source #

Undocumented member.

searchRecord_pipelineExecution :: Lens' SearchRecord (Maybe PipelineExecution) Source #

Undocumented member.

searchRecord_project :: Lens' SearchRecord (Maybe Project) Source #

The properties of a project.

searchRecord_trainingJob :: Lens' SearchRecord (Maybe TrainingJob) Source #

The properties of a training job.

searchRecord_trial :: Lens' SearchRecord (Maybe Trial) Source #

The properties of a trial.

searchRecord_trialComponent :: Lens' SearchRecord (Maybe TrialComponent) Source #

The properties of a trial component.

SecondaryStatusTransition

data SecondaryStatusTransition Source #

An array element of DescribeTrainingJobResponse$SecondaryStatusTransitions. It provides additional details about a status that the training job has transitioned through. A training job can be in one of several states, for example, starting, downloading, training, or uploading. Within each state, there are a number of intermediate states. For example, within the starting state, SageMaker could be starting the training job or launching the ML instances. These transitional states are referred to as the job's secondary status.

See: newSecondaryStatusTransition smart constructor.

Constructors

SecondaryStatusTransition' 

Fields

  • endTime :: Maybe POSIX

    A timestamp that shows when the training job transitioned out of this secondary status state into another secondary status state or when the training job has ended.

  • statusMessage :: Maybe Text

    A detailed description of the progress within a secondary status.

    SageMaker provides secondary statuses and status messages that apply to each of them:

    Starting
    - Starting the training job.
    • Launching requested ML instances.
    • Insufficient capacity error from EC2 while launching instances, retrying!
    • Launched instance was unhealthy, replacing it!
    • Preparing the instances for training.
    Training
    - Downloading the training image.
    • Training image download completed. Training in progress.

    Status messages are subject to change. Therefore, we recommend not including them in code that programmatically initiates actions. For examples, don't use status messages in if statements.

    To have an overview of your training job's progress, view TrainingJobStatus and SecondaryStatus in DescribeTrainingJob, and StatusMessage together. For example, at the start of a training job, you might see the following:

    • TrainingJobStatus - InProgress
    • SecondaryStatus - Training
    • StatusMessage - Downloading the training image
  • status :: SecondaryStatus

    Contains a secondary status information from a training job.

    Status might be one of the following secondary statuses:

    InProgress
    - Starting - Starting the training job.
    • Downloading - An optional stage for algorithms that support File training input mode. It indicates that data is being downloaded to the ML storage volumes.
    • Training - Training is in progress.
    • Uploading - Training is complete and the model artifacts are being uploaded to the S3 location.
    Completed
    - Completed - The training job has completed.
    Failed
    - Failed - The training job has failed. The reason for the failure is returned in the FailureReason field of DescribeTrainingJobResponse.
    Stopped
    - MaxRuntimeExceeded - The job stopped because it exceeded the maximum allowed runtime.
    • Stopped - The training job has stopped.
    Stopping
    - Stopping - Stopping the training job.

    We no longer support the following secondary statuses:

    • LaunchingMLInstances
    • PreparingTrainingStack
    • DownloadingTrainingImage
  • startTime :: POSIX

    A timestamp that shows when the training job transitioned to the current secondary status state.

Instances

Instances details
FromJSON SecondaryStatusTransition Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SecondaryStatusTransition

Methods

parseJSON :: Value -> Parser SecondaryStatusTransition #

parseJSONList :: Value -> Parser [SecondaryStatusTransition] #

Generic SecondaryStatusTransition Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SecondaryStatusTransition

Associated Types

type Rep SecondaryStatusTransition :: Type -> Type #

Methods

from :: SecondaryStatusTransition -> Rep SecondaryStatusTransition x #

to :: Rep SecondaryStatusTransition x -> SecondaryStatusTransition #

Read SecondaryStatusTransition Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SecondaryStatusTransition

Methods

readsPrec :: Int -> ReadS SecondaryStatusTransition #

readList :: ReadS [SecondaryStatusTransition] #

readPrec :: ReadPrec SecondaryStatusTransition #

readListPrec :: ReadPrec [SecondaryStatusTransition] #

Show SecondaryStatusTransition Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SecondaryStatusTransition

Methods

showsPrec :: Int -> SecondaryStatusTransition -> ShowS #

show :: SecondaryStatusTransition -> String #

showList :: [SecondaryStatusTransition] -> ShowS #

NFData SecondaryStatusTransition Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SecondaryStatusTransition

Methods

rnf :: SecondaryStatusTransition -> () #

Eq SecondaryStatusTransition Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SecondaryStatusTransition

Methods

(==) :: SecondaryStatusTransition -> SecondaryStatusTransition -> Bool #

(/=) :: SecondaryStatusTransition -> SecondaryStatusTransition -> Bool #

Hashable SecondaryStatusTransition Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SecondaryStatusTransition

Methods

hashWithSalt :: Int -> SecondaryStatusTransition -> Int #

hash :: SecondaryStatusTransition -> Int #

type Rep SecondaryStatusTransition Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SecondaryStatusTransition

type Rep SecondaryStatusTransition = D1 ('MetaData "SecondaryStatusTransition" "Amazonka.SageMaker.Types.SecondaryStatusTransition" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "SecondaryStatusTransition'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "endTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :*: S1 ('MetaSel ('Just "statusMessage") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))) :*: (S1 ('MetaSel ('Just "status") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 SecondaryStatus) :*: S1 ('MetaSel ('Just "startTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 POSIX))))

newSecondaryStatusTransition Source #

Arguments

:: SecondaryStatus

$sel:status:SecondaryStatusTransition'

-> UTCTime

$sel:startTime:SecondaryStatusTransition'

-> SecondaryStatusTransition 

Create a value of SecondaryStatusTransition with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:endTime:SecondaryStatusTransition', secondaryStatusTransition_endTime - A timestamp that shows when the training job transitioned out of this secondary status state into another secondary status state or when the training job has ended.

$sel:statusMessage:SecondaryStatusTransition', secondaryStatusTransition_statusMessage - A detailed description of the progress within a secondary status.

SageMaker provides secondary statuses and status messages that apply to each of them:

Starting
- Starting the training job.
  • Launching requested ML instances.
  • Insufficient capacity error from EC2 while launching instances, retrying!
  • Launched instance was unhealthy, replacing it!
  • Preparing the instances for training.
Training
- Downloading the training image.
  • Training image download completed. Training in progress.

Status messages are subject to change. Therefore, we recommend not including them in code that programmatically initiates actions. For examples, don't use status messages in if statements.

To have an overview of your training job's progress, view TrainingJobStatus and SecondaryStatus in DescribeTrainingJob, and StatusMessage together. For example, at the start of a training job, you might see the following:

  • TrainingJobStatus - InProgress
  • SecondaryStatus - Training
  • StatusMessage - Downloading the training image

$sel:status:SecondaryStatusTransition', secondaryStatusTransition_status - Contains a secondary status information from a training job.

Status might be one of the following secondary statuses:

InProgress
- Starting - Starting the training job.
  • Downloading - An optional stage for algorithms that support File training input mode. It indicates that data is being downloaded to the ML storage volumes.
  • Training - Training is in progress.
  • Uploading - Training is complete and the model artifacts are being uploaded to the S3 location.
Completed
- Completed - The training job has completed.
Failed
- Failed - The training job has failed. The reason for the failure is returned in the FailureReason field of DescribeTrainingJobResponse.
Stopped
- MaxRuntimeExceeded - The job stopped because it exceeded the maximum allowed runtime.
  • Stopped - The training job has stopped.
Stopping
- Stopping - Stopping the training job.

We no longer support the following secondary statuses:

  • LaunchingMLInstances
  • PreparingTrainingStack
  • DownloadingTrainingImage

$sel:startTime:SecondaryStatusTransition', secondaryStatusTransition_startTime - A timestamp that shows when the training job transitioned to the current secondary status state.

secondaryStatusTransition_endTime :: Lens' SecondaryStatusTransition (Maybe UTCTime) Source #

A timestamp that shows when the training job transitioned out of this secondary status state into another secondary status state or when the training job has ended.

secondaryStatusTransition_statusMessage :: Lens' SecondaryStatusTransition (Maybe Text) Source #

A detailed description of the progress within a secondary status.

SageMaker provides secondary statuses and status messages that apply to each of them:

Starting
- Starting the training job.
  • Launching requested ML instances.
  • Insufficient capacity error from EC2 while launching instances, retrying!
  • Launched instance was unhealthy, replacing it!
  • Preparing the instances for training.
Training
- Downloading the training image.
  • Training image download completed. Training in progress.

Status messages are subject to change. Therefore, we recommend not including them in code that programmatically initiates actions. For examples, don't use status messages in if statements.

To have an overview of your training job's progress, view TrainingJobStatus and SecondaryStatus in DescribeTrainingJob, and StatusMessage together. For example, at the start of a training job, you might see the following:

  • TrainingJobStatus - InProgress
  • SecondaryStatus - Training
  • StatusMessage - Downloading the training image

secondaryStatusTransition_status :: Lens' SecondaryStatusTransition SecondaryStatus Source #

Contains a secondary status information from a training job.

Status might be one of the following secondary statuses:

InProgress
- Starting - Starting the training job.
  • Downloading - An optional stage for algorithms that support File training input mode. It indicates that data is being downloaded to the ML storage volumes.
  • Training - Training is in progress.
  • Uploading - Training is complete and the model artifacts are being uploaded to the S3 location.
Completed
- Completed - The training job has completed.
Failed
- Failed - The training job has failed. The reason for the failure is returned in the FailureReason field of DescribeTrainingJobResponse.
Stopped
- MaxRuntimeExceeded - The job stopped because it exceeded the maximum allowed runtime.
  • Stopped - The training job has stopped.
Stopping
- Stopping - Stopping the training job.

We no longer support the following secondary statuses:

  • LaunchingMLInstances
  • PreparingTrainingStack
  • DownloadingTrainingImage

secondaryStatusTransition_startTime :: Lens' SecondaryStatusTransition UTCTime Source #

A timestamp that shows when the training job transitioned to the current secondary status state.

ServiceCatalogProvisionedProductDetails

data ServiceCatalogProvisionedProductDetails Source #

Details of a provisioned service catalog product. For information about service catalog, see What is Amazon Web Services Service Catalog.

See: newServiceCatalogProvisionedProductDetails smart constructor.

Constructors

ServiceCatalogProvisionedProductDetails' 

Fields

  • provisionedProductId :: Maybe Text

    The ID of the provisioned product.

  • provisionedProductStatusMessage :: Maybe Text

    The current status of the product.

    • AVAILABLE - Stable state, ready to perform any operation. The most recent operation succeeded and completed.
    • UNDER_CHANGE - Transitive state. Operations performed might not have valid results. Wait for an AVAILABLE status before performing operations.
    • TAINTED - Stable state, ready to perform any operation. The stack has completed the requested operation but is not exactly what was requested. For example, a request to update to a new version failed and the stack rolled back to the current version.
    • ERROR - An unexpected error occurred. The provisioned product exists but the stack is not running. For example, CloudFormation received a parameter value that was not valid and could not launch the stack.
    • PLAN_IN_PROGRESS - Transitive state. The plan operations were performed to provision a new product, but resources have not yet been created. After reviewing the list of resources to be created, execute the plan. Wait for an AVAILABLE status before performing operations.

Instances

Instances details
FromJSON ServiceCatalogProvisionedProductDetails Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ServiceCatalogProvisionedProductDetails

Methods

parseJSON :: Value -> Parser ServiceCatalogProvisionedProductDetails #

parseJSONList :: Value -> Parser [ServiceCatalogProvisionedProductDetails] #

Generic ServiceCatalogProvisionedProductDetails Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ServiceCatalogProvisionedProductDetails

Associated Types

type Rep ServiceCatalogProvisionedProductDetails :: Type -> Type #

Methods

from :: ServiceCatalogProvisionedProductDetails -> Rep ServiceCatalogProvisionedProductDetails x #

to :: Rep ServiceCatalogProvisionedProductDetails x -> ServiceCatalogProvisionedProductDetails #

Read ServiceCatalogProvisionedProductDetails Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ServiceCatalogProvisionedProductDetails

Methods

readsPrec :: Int -> ReadS ServiceCatalogProvisionedProductDetails #

readList :: ReadS [ServiceCatalogProvisionedProductDetails] #

readPrec :: ReadPrec ServiceCatalogProvisionedProductDetails #

readListPrec :: ReadPrec [ServiceCatalogProvisionedProductDetails] #

Show ServiceCatalogProvisionedProductDetails Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ServiceCatalogProvisionedProductDetails

Methods

showsPrec :: Int -> ServiceCatalogProvisionedProductDetails -> ShowS #

show :: ServiceCatalogProvisionedProductDetails -> String #

showList :: [ServiceCatalogProvisionedProductDetails] -> ShowS #

NFData ServiceCatalogProvisionedProductDetails Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ServiceCatalogProvisionedProductDetails

Methods

rnf :: ServiceCatalogProvisionedProductDetails -> () #

Eq ServiceCatalogProvisionedProductDetails Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ServiceCatalogProvisionedProductDetails

Methods

(==) :: ServiceCatalogProvisionedProductDetails -> ServiceCatalogProvisionedProductDetails -> Bool #

(/=) :: ServiceCatalogProvisionedProductDetails -> ServiceCatalogProvisionedProductDetails -> Bool #

Hashable ServiceCatalogProvisionedProductDetails Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ServiceCatalogProvisionedProductDetails

Methods

hashWithSalt :: Int -> ServiceCatalogProvisionedProductDetails -> Int #

hash :: ServiceCatalogProvisionedProductDetails -> Int #

type Rep ServiceCatalogProvisionedProductDetails Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ServiceCatalogProvisionedProductDetails

type Rep ServiceCatalogProvisionedProductDetails = D1 ('MetaData "ServiceCatalogProvisionedProductDetails" "Amazonka.SageMaker.Types.ServiceCatalogProvisionedProductDetails" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "ServiceCatalogProvisionedProductDetails'" 'PrefixI 'True) (S1 ('MetaSel ('Just "provisionedProductId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "provisionedProductStatusMessage") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))

newServiceCatalogProvisionedProductDetails :: ServiceCatalogProvisionedProductDetails Source #

Create a value of ServiceCatalogProvisionedProductDetails with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:provisionedProductId:ServiceCatalogProvisionedProductDetails', serviceCatalogProvisionedProductDetails_provisionedProductId - The ID of the provisioned product.

$sel:provisionedProductStatusMessage:ServiceCatalogProvisionedProductDetails', serviceCatalogProvisionedProductDetails_provisionedProductStatusMessage - The current status of the product.

  • AVAILABLE - Stable state, ready to perform any operation. The most recent operation succeeded and completed.
  • UNDER_CHANGE - Transitive state. Operations performed might not have valid results. Wait for an AVAILABLE status before performing operations.
  • TAINTED - Stable state, ready to perform any operation. The stack has completed the requested operation but is not exactly what was requested. For example, a request to update to a new version failed and the stack rolled back to the current version.
  • ERROR - An unexpected error occurred. The provisioned product exists but the stack is not running. For example, CloudFormation received a parameter value that was not valid and could not launch the stack.
  • PLAN_IN_PROGRESS - Transitive state. The plan operations were performed to provision a new product, but resources have not yet been created. After reviewing the list of resources to be created, execute the plan. Wait for an AVAILABLE status before performing operations.

serviceCatalogProvisionedProductDetails_provisionedProductId :: Lens' ServiceCatalogProvisionedProductDetails (Maybe Text) Source #

The ID of the provisioned product.

serviceCatalogProvisionedProductDetails_provisionedProductStatusMessage :: Lens' ServiceCatalogProvisionedProductDetails (Maybe Text) Source #

The current status of the product.

  • AVAILABLE - Stable state, ready to perform any operation. The most recent operation succeeded and completed.
  • UNDER_CHANGE - Transitive state. Operations performed might not have valid results. Wait for an AVAILABLE status before performing operations.
  • TAINTED - Stable state, ready to perform any operation. The stack has completed the requested operation but is not exactly what was requested. For example, a request to update to a new version failed and the stack rolled back to the current version.
  • ERROR - An unexpected error occurred. The provisioned product exists but the stack is not running. For example, CloudFormation received a parameter value that was not valid and could not launch the stack.
  • PLAN_IN_PROGRESS - Transitive state. The plan operations were performed to provision a new product, but resources have not yet been created. After reviewing the list of resources to be created, execute the plan. Wait for an AVAILABLE status before performing operations.

ServiceCatalogProvisioningDetails

data ServiceCatalogProvisioningDetails Source #

Details that you specify to provision a service catalog product. For information about service catalog, see What is Amazon Web Services Service Catalog.

See: newServiceCatalogProvisioningDetails smart constructor.

Constructors

ServiceCatalogProvisioningDetails' 

Fields

Instances

Instances details
FromJSON ServiceCatalogProvisioningDetails Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ServiceCatalogProvisioningDetails

Methods

parseJSON :: Value -> Parser ServiceCatalogProvisioningDetails #

parseJSONList :: Value -> Parser [ServiceCatalogProvisioningDetails] #

ToJSON ServiceCatalogProvisioningDetails Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ServiceCatalogProvisioningDetails

Methods

toJSON :: ServiceCatalogProvisioningDetails -> Value #

toEncoding :: ServiceCatalogProvisioningDetails -> Encoding #

toJSONList :: [ServiceCatalogProvisioningDetails] -> Value #

toEncodingList :: [ServiceCatalogProvisioningDetails] -> Encoding #

Generic ServiceCatalogProvisioningDetails Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ServiceCatalogProvisioningDetails

Associated Types

type Rep ServiceCatalogProvisioningDetails :: Type -> Type #

Methods

from :: ServiceCatalogProvisioningDetails -> Rep ServiceCatalogProvisioningDetails x #

to :: Rep ServiceCatalogProvisioningDetails x -> ServiceCatalogProvisioningDetails #

Read ServiceCatalogProvisioningDetails Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ServiceCatalogProvisioningDetails

Methods

readsPrec :: Int -> ReadS ServiceCatalogProvisioningDetails #

readList :: ReadS [ServiceCatalogProvisioningDetails] #

readPrec :: ReadPrec ServiceCatalogProvisioningDetails #

readListPrec :: ReadPrec [ServiceCatalogProvisioningDetails] #

Show ServiceCatalogProvisioningDetails Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ServiceCatalogProvisioningDetails

Methods

showsPrec :: Int -> ServiceCatalogProvisioningDetails -> ShowS #

show :: ServiceCatalogProvisioningDetails -> String #

showList :: [ServiceCatalogProvisioningDetails] -> ShowS #

NFData ServiceCatalogProvisioningDetails Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ServiceCatalogProvisioningDetails

Methods

rnf :: ServiceCatalogProvisioningDetails -> () #

Eq ServiceCatalogProvisioningDetails Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ServiceCatalogProvisioningDetails

Methods

(==) :: ServiceCatalogProvisioningDetails -> ServiceCatalogProvisioningDetails -> Bool #

(/=) :: ServiceCatalogProvisioningDetails -> ServiceCatalogProvisioningDetails -> Bool #

Hashable ServiceCatalogProvisioningDetails Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ServiceCatalogProvisioningDetails

Methods

hashWithSalt :: Int -> ServiceCatalogProvisioningDetails -> Int #

hash :: ServiceCatalogProvisioningDetails -> Int #

type Rep ServiceCatalogProvisioningDetails Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ServiceCatalogProvisioningDetails

type Rep ServiceCatalogProvisioningDetails = D1 ('MetaData "ServiceCatalogProvisioningDetails" "Amazonka.SageMaker.Types.ServiceCatalogProvisioningDetails" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "ServiceCatalogProvisioningDetails'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "pathId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "provisioningArtifactId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))) :*: (S1 ('MetaSel ('Just "provisioningParameters") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [ProvisioningParameter])) :*: S1 ('MetaSel ('Just "productId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text))))

newServiceCatalogProvisioningDetails Source #

Arguments

:: Text

$sel:productId:ServiceCatalogProvisioningDetails'

-> ServiceCatalogProvisioningDetails 

Create a value of ServiceCatalogProvisioningDetails with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:pathId:ServiceCatalogProvisioningDetails', serviceCatalogProvisioningDetails_pathId - The path identifier of the product. This value is optional if the product has a default path, and required if the product has more than one path.

$sel:provisioningArtifactId:ServiceCatalogProvisioningDetails', serviceCatalogProvisioningDetails_provisioningArtifactId - The ID of the provisioning artifact.

$sel:provisioningParameters:ServiceCatalogProvisioningDetails', serviceCatalogProvisioningDetails_provisioningParameters - A list of key value pairs that you specify when you provision a product.

$sel:productId:ServiceCatalogProvisioningDetails', serviceCatalogProvisioningDetails_productId - The ID of the product to provision.

serviceCatalogProvisioningDetails_pathId :: Lens' ServiceCatalogProvisioningDetails (Maybe Text) Source #

The path identifier of the product. This value is optional if the product has a default path, and required if the product has more than one path.

serviceCatalogProvisioningDetails_provisioningArtifactId :: Lens' ServiceCatalogProvisioningDetails (Maybe Text) Source #

The ID of the provisioning artifact.

serviceCatalogProvisioningDetails_provisioningParameters :: Lens' ServiceCatalogProvisioningDetails (Maybe [ProvisioningParameter]) Source #

A list of key value pairs that you specify when you provision a product.

serviceCatalogProvisioningDetails_productId :: Lens' ServiceCatalogProvisioningDetails Text Source #

The ID of the product to provision.

ServiceCatalogProvisioningUpdateDetails

data ServiceCatalogProvisioningUpdateDetails Source #

Details that you specify to provision a service catalog product. For information about service catalog, see What is Amazon Web Services Service Catalog.

See: newServiceCatalogProvisioningUpdateDetails smart constructor.

Constructors

ServiceCatalogProvisioningUpdateDetails' 

Fields

Instances

Instances details
ToJSON ServiceCatalogProvisioningUpdateDetails Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ServiceCatalogProvisioningUpdateDetails

Methods

toJSON :: ServiceCatalogProvisioningUpdateDetails -> Value #

toEncoding :: ServiceCatalogProvisioningUpdateDetails -> Encoding #

toJSONList :: [ServiceCatalogProvisioningUpdateDetails] -> Value #

toEncodingList :: [ServiceCatalogProvisioningUpdateDetails] -> Encoding #

Generic ServiceCatalogProvisioningUpdateDetails Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ServiceCatalogProvisioningUpdateDetails

Associated Types

type Rep ServiceCatalogProvisioningUpdateDetails :: Type -> Type #

Methods

from :: ServiceCatalogProvisioningUpdateDetails -> Rep ServiceCatalogProvisioningUpdateDetails x #

to :: Rep ServiceCatalogProvisioningUpdateDetails x -> ServiceCatalogProvisioningUpdateDetails #

Read ServiceCatalogProvisioningUpdateDetails Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ServiceCatalogProvisioningUpdateDetails

Methods

readsPrec :: Int -> ReadS ServiceCatalogProvisioningUpdateDetails #

readList :: ReadS [ServiceCatalogProvisioningUpdateDetails] #

readPrec :: ReadPrec ServiceCatalogProvisioningUpdateDetails #

readListPrec :: ReadPrec [ServiceCatalogProvisioningUpdateDetails] #

Show ServiceCatalogProvisioningUpdateDetails Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ServiceCatalogProvisioningUpdateDetails

Methods

showsPrec :: Int -> ServiceCatalogProvisioningUpdateDetails -> ShowS #

show :: ServiceCatalogProvisioningUpdateDetails -> String #

showList :: [ServiceCatalogProvisioningUpdateDetails] -> ShowS #

NFData ServiceCatalogProvisioningUpdateDetails Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ServiceCatalogProvisioningUpdateDetails

Methods

rnf :: ServiceCatalogProvisioningUpdateDetails -> () #

Eq ServiceCatalogProvisioningUpdateDetails Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ServiceCatalogProvisioningUpdateDetails

Methods

(==) :: ServiceCatalogProvisioningUpdateDetails -> ServiceCatalogProvisioningUpdateDetails -> Bool #

(/=) :: ServiceCatalogProvisioningUpdateDetails -> ServiceCatalogProvisioningUpdateDetails -> Bool #

Hashable ServiceCatalogProvisioningUpdateDetails Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ServiceCatalogProvisioningUpdateDetails

Methods

hashWithSalt :: Int -> ServiceCatalogProvisioningUpdateDetails -> Int #

hash :: ServiceCatalogProvisioningUpdateDetails -> Int #

type Rep ServiceCatalogProvisioningUpdateDetails Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ServiceCatalogProvisioningUpdateDetails

type Rep ServiceCatalogProvisioningUpdateDetails = D1 ('MetaData "ServiceCatalogProvisioningUpdateDetails" "Amazonka.SageMaker.Types.ServiceCatalogProvisioningUpdateDetails" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "ServiceCatalogProvisioningUpdateDetails'" 'PrefixI 'True) (S1 ('MetaSel ('Just "provisioningArtifactId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "provisioningParameters") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [ProvisioningParameter]))))

newServiceCatalogProvisioningUpdateDetails :: ServiceCatalogProvisioningUpdateDetails Source #

Create a value of ServiceCatalogProvisioningUpdateDetails with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:provisioningArtifactId:ServiceCatalogProvisioningUpdateDetails', serviceCatalogProvisioningUpdateDetails_provisioningArtifactId - The ID of the provisioning artifact.

$sel:provisioningParameters:ServiceCatalogProvisioningUpdateDetails', serviceCatalogProvisioningUpdateDetails_provisioningParameters - A list of key value pairs that you specify when you provision a product.

serviceCatalogProvisioningUpdateDetails_provisioningArtifactId :: Lens' ServiceCatalogProvisioningUpdateDetails (Maybe Text) Source #

The ID of the provisioning artifact.

serviceCatalogProvisioningUpdateDetails_provisioningParameters :: Lens' ServiceCatalogProvisioningUpdateDetails (Maybe [ProvisioningParameter]) Source #

A list of key value pairs that you specify when you provision a product.

ShadowModeConfig

data ShadowModeConfig Source #

The configuration of ShadowMode inference experiment type, which specifies a production variant to take all the inference requests, and a shadow variant to which Amazon SageMaker replicates a percentage of the inference requests. For the shadow variant it also specifies the percentage of requests that Amazon SageMaker replicates.

See: newShadowModeConfig smart constructor.

Constructors

ShadowModeConfig' 

Fields

Instances

Instances details
FromJSON ShadowModeConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ShadowModeConfig

Methods

parseJSON :: Value -> Parser ShadowModeConfig #

parseJSONList :: Value -> Parser [ShadowModeConfig] #

ToJSON ShadowModeConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ShadowModeConfig

Methods

toJSON :: ShadowModeConfig -> Value #

toEncoding :: ShadowModeConfig -> Encoding #

toJSONList :: [ShadowModeConfig] -> Value #

toEncodingList :: [ShadowModeConfig] -> Encoding #

Generic ShadowModeConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ShadowModeConfig

Associated Types

type Rep ShadowModeConfig :: Type -> Type #

Methods

from :: ShadowModeConfig -> Rep ShadowModeConfig x #

to :: Rep ShadowModeConfig x -> ShadowModeConfig #

Read ShadowModeConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ShadowModeConfig

Methods

readsPrec :: Int -> ReadS ShadowModeConfig #

readList :: ReadS [ShadowModeConfig] #

readPrec :: ReadPrec ShadowModeConfig #

readListPrec :: ReadPrec [ShadowModeConfig] #

Show ShadowModeConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ShadowModeConfig

Methods

showsPrec :: Int -> ShadowModeConfig -> ShowS #

show :: ShadowModeConfig -> String #

showList :: [ShadowModeConfig] -> ShowS #

NFData ShadowModeConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ShadowModeConfig

Methods

rnf :: ShadowModeConfig -> () #

Eq ShadowModeConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ShadowModeConfig

Methods

(==) :: ShadowModeConfig -> ShadowModeConfig -> Bool #

(/=) :: ShadowModeConfig -> ShadowModeConfig -> Bool #

Hashable ShadowModeConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ShadowModeConfig

Methods

hashWithSalt :: Int -> ShadowModeConfig -> Int #

hash :: ShadowModeConfig -> Int #

type Rep ShadowModeConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ShadowModeConfig

type Rep ShadowModeConfig = D1 ('MetaData "ShadowModeConfig" "Amazonka.SageMaker.Types.ShadowModeConfig" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "ShadowModeConfig'" 'PrefixI 'True) (S1 ('MetaSel ('Just "sourceModelVariantName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: S1 ('MetaSel ('Just "shadowModelVariants") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (NonEmpty ShadowModelVariantConfig))))

newShadowModeConfig Source #

Arguments

:: Text

$sel:sourceModelVariantName:ShadowModeConfig'

-> NonEmpty ShadowModelVariantConfig

$sel:shadowModelVariants:ShadowModeConfig'

-> ShadowModeConfig 

Create a value of ShadowModeConfig with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:sourceModelVariantName:ShadowModeConfig', shadowModeConfig_sourceModelVariantName - The name of the production variant, which takes all the inference requests.

$sel:shadowModelVariants:ShadowModeConfig', shadowModeConfig_shadowModelVariants - List of shadow variant configurations.

shadowModeConfig_sourceModelVariantName :: Lens' ShadowModeConfig Text Source #

The name of the production variant, which takes all the inference requests.

shadowModeConfig_shadowModelVariants :: Lens' ShadowModeConfig (NonEmpty ShadowModelVariantConfig) Source #

List of shadow variant configurations.

ShadowModelVariantConfig

data ShadowModelVariantConfig Source #

The name and sampling percentage of a shadow variant.

See: newShadowModelVariantConfig smart constructor.

Constructors

ShadowModelVariantConfig' 

Fields

Instances

Instances details
FromJSON ShadowModelVariantConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ShadowModelVariantConfig

Methods

parseJSON :: Value -> Parser ShadowModelVariantConfig #

parseJSONList :: Value -> Parser [ShadowModelVariantConfig] #

ToJSON ShadowModelVariantConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ShadowModelVariantConfig

Methods

toJSON :: ShadowModelVariantConfig -> Value #

toEncoding :: ShadowModelVariantConfig -> Encoding #

toJSONList :: [ShadowModelVariantConfig] -> Value #

toEncodingList :: [ShadowModelVariantConfig] -> Encoding #

Generic ShadowModelVariantConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ShadowModelVariantConfig

Associated Types

type Rep ShadowModelVariantConfig :: Type -> Type #

Methods

from :: ShadowModelVariantConfig -> Rep ShadowModelVariantConfig x #

to :: Rep ShadowModelVariantConfig x -> ShadowModelVariantConfig #

Read ShadowModelVariantConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ShadowModelVariantConfig

Methods

readsPrec :: Int -> ReadS ShadowModelVariantConfig #

readList :: ReadS [ShadowModelVariantConfig] #

readPrec :: ReadPrec ShadowModelVariantConfig #

readListPrec :: ReadPrec [ShadowModelVariantConfig] #

Show ShadowModelVariantConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ShadowModelVariantConfig

Methods

showsPrec :: Int -> ShadowModelVariantConfig -> ShowS #

show :: ShadowModelVariantConfig -> String #

showList :: [ShadowModelVariantConfig] -> ShowS #

NFData ShadowModelVariantConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ShadowModelVariantConfig

Methods

rnf :: ShadowModelVariantConfig -> () #

Eq ShadowModelVariantConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ShadowModelVariantConfig

Methods

(==) :: ShadowModelVariantConfig -> ShadowModelVariantConfig -> Bool #

(/=) :: ShadowModelVariantConfig -> ShadowModelVariantConfig -> Bool #

Hashable ShadowModelVariantConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ShadowModelVariantConfig

Methods

hashWithSalt :: Int -> ShadowModelVariantConfig -> Int #

hash :: ShadowModelVariantConfig -> Int #

type Rep ShadowModelVariantConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ShadowModelVariantConfig

type Rep ShadowModelVariantConfig = D1 ('MetaData "ShadowModelVariantConfig" "Amazonka.SageMaker.Types.ShadowModelVariantConfig" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "ShadowModelVariantConfig'" 'PrefixI 'True) (S1 ('MetaSel ('Just "shadowModelVariantName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: S1 ('MetaSel ('Just "samplingPercentage") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Int)))

newShadowModelVariantConfig Source #

Arguments

:: Text

$sel:shadowModelVariantName:ShadowModelVariantConfig'

-> Int

$sel:samplingPercentage:ShadowModelVariantConfig'

-> ShadowModelVariantConfig 

Create a value of ShadowModelVariantConfig with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:shadowModelVariantName:ShadowModelVariantConfig', shadowModelVariantConfig_shadowModelVariantName - The name of the shadow variant.

$sel:samplingPercentage:ShadowModelVariantConfig', shadowModelVariantConfig_samplingPercentage - The percentage of inference requests that Amazon SageMaker replicates from the production variant to the shadow variant.

shadowModelVariantConfig_shadowModelVariantName :: Lens' ShadowModelVariantConfig Text Source #

The name of the shadow variant.

shadowModelVariantConfig_samplingPercentage :: Lens' ShadowModelVariantConfig Int Source #

The percentage of inference requests that Amazon SageMaker replicates from the production variant to the shadow variant.

SharingSettings

data SharingSettings Source #

Specifies options for sharing SageMaker Studio notebooks. These settings are specified as part of DefaultUserSettings when the CreateDomain API is called, and as part of UserSettings when the CreateUserProfile API is called. When SharingSettings is not specified, notebook sharing isn't allowed.

See: newSharingSettings smart constructor.

Constructors

SharingSettings' 

Fields

  • notebookOutputOption :: Maybe NotebookOutputOption

    Whether to include the notebook cell output when sharing the notebook. The default is Disabled.

  • s3KmsKeyId :: Maybe Text

    When NotebookOutputOption is Allowed, the Amazon Web Services Key Management Service (KMS) encryption key ID used to encrypt the notebook cell output in the Amazon S3 bucket.

  • s3OutputPath :: Maybe Text

    When NotebookOutputOption is Allowed, the Amazon S3 bucket used to store the shared notebook snapshots.

Instances

Instances details
FromJSON SharingSettings Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SharingSettings

Methods

parseJSON :: Value -> Parser SharingSettings #

parseJSONList :: Value -> Parser [SharingSettings] #

ToJSON SharingSettings Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SharingSettings

Methods

toJSON :: SharingSettings -> Value #

toEncoding :: SharingSettings -> Encoding #

toJSONList :: [SharingSettings] -> Value #

toEncodingList :: [SharingSettings] -> Encoding #

Generic SharingSettings Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SharingSettings

Associated Types

type Rep SharingSettings :: Type -> Type #

Methods

from :: SharingSettings -> Rep SharingSettings x #

to :: Rep SharingSettings x -> SharingSettings #

Read SharingSettings Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SharingSettings

Methods

readsPrec :: Int -> ReadS SharingSettings #

readList :: ReadS [SharingSettings] #

readPrec :: ReadPrec SharingSettings #

readListPrec :: ReadPrec [SharingSettings] #

Show SharingSettings Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SharingSettings

Methods

showsPrec :: Int -> SharingSettings -> ShowS #

show :: SharingSettings -> String #

showList :: [SharingSettings] -> ShowS #

NFData SharingSettings Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SharingSettings

Methods

rnf :: SharingSettings -> () #

Eq SharingSettings Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SharingSettings

Methods

(==) :: SharingSettings -> SharingSettings -> Bool #

(/=) :: SharingSettings -> SharingSettings -> Bool #

Hashable SharingSettings Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SharingSettings

Methods

hashWithSalt :: Int -> SharingSettings -> Int #

hash :: SharingSettings -> Int #

type Rep SharingSettings Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SharingSettings

type Rep SharingSettings = D1 ('MetaData "SharingSettings" "Amazonka.SageMaker.Types.SharingSettings" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "SharingSettings'" 'PrefixI 'True) (S1 ('MetaSel ('Just "notebookOutputOption") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe NotebookOutputOption)) :*: (S1 ('MetaSel ('Just "s3KmsKeyId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "s3OutputPath") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))))

newSharingSettings :: SharingSettings Source #

Create a value of SharingSettings with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:notebookOutputOption:SharingSettings', sharingSettings_notebookOutputOption - Whether to include the notebook cell output when sharing the notebook. The default is Disabled.

$sel:s3KmsKeyId:SharingSettings', sharingSettings_s3KmsKeyId - When NotebookOutputOption is Allowed, the Amazon Web Services Key Management Service (KMS) encryption key ID used to encrypt the notebook cell output in the Amazon S3 bucket.

$sel:s3OutputPath:SharingSettings', sharingSettings_s3OutputPath - When NotebookOutputOption is Allowed, the Amazon S3 bucket used to store the shared notebook snapshots.

sharingSettings_notebookOutputOption :: Lens' SharingSettings (Maybe NotebookOutputOption) Source #

Whether to include the notebook cell output when sharing the notebook. The default is Disabled.

sharingSettings_s3KmsKeyId :: Lens' SharingSettings (Maybe Text) Source #

When NotebookOutputOption is Allowed, the Amazon Web Services Key Management Service (KMS) encryption key ID used to encrypt the notebook cell output in the Amazon S3 bucket.

sharingSettings_s3OutputPath :: Lens' SharingSettings (Maybe Text) Source #

When NotebookOutputOption is Allowed, the Amazon S3 bucket used to store the shared notebook snapshots.

ShuffleConfig

data ShuffleConfig Source #

A configuration for a shuffle option for input data in a channel. If you use S3Prefix for S3DataType, the results of the S3 key prefix matches are shuffled. If you use ManifestFile, the order of the S3 object references in the ManifestFile is shuffled. If you use AugmentedManifestFile, the order of the JSON lines in the AugmentedManifestFile is shuffled. The shuffling order is determined using the Seed value.

For Pipe input mode, when ShuffleConfig is specified shuffling is done at the start of every epoch. With large datasets, this ensures that the order of the training data is different for each epoch, and it helps reduce bias and possible overfitting. In a multi-node training job when ShuffleConfig is combined with S3DataDistributionType of ShardedByS3Key, the data is shuffled across nodes so that the content sent to a particular node on the first epoch might be sent to a different node on the second epoch.

See: newShuffleConfig smart constructor.

Constructors

ShuffleConfig' 

Fields

  • seed :: Integer

    Determines the shuffling order in ShuffleConfig value.

Instances

Instances details
FromJSON ShuffleConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ShuffleConfig

Methods

parseJSON :: Value -> Parser ShuffleConfig #

parseJSONList :: Value -> Parser [ShuffleConfig] #

ToJSON ShuffleConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ShuffleConfig

Methods

toJSON :: ShuffleConfig -> Value #

toEncoding :: ShuffleConfig -> Encoding #

toJSONList :: [ShuffleConfig] -> Value #

toEncodingList :: [ShuffleConfig] -> Encoding #

Generic ShuffleConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ShuffleConfig

Associated Types

type Rep ShuffleConfig :: Type -> Type #

Methods

from :: ShuffleConfig -> Rep ShuffleConfig x #

to :: Rep ShuffleConfig x -> ShuffleConfig #

Read ShuffleConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ShuffleConfig

Methods

readsPrec :: Int -> ReadS ShuffleConfig #

readList :: ReadS [ShuffleConfig] #

readPrec :: ReadPrec ShuffleConfig #

readListPrec :: ReadPrec [ShuffleConfig] #

Show ShuffleConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ShuffleConfig

Methods

showsPrec :: Int -> ShuffleConfig -> ShowS #

show :: ShuffleConfig -> String #

showList :: [ShuffleConfig] -> ShowS #

NFData ShuffleConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ShuffleConfig

Methods

rnf :: ShuffleConfig -> () #

Eq ShuffleConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ShuffleConfig

Methods

(==) :: ShuffleConfig -> ShuffleConfig -> Bool #

(/=) :: ShuffleConfig -> ShuffleConfig -> Bool #

Hashable ShuffleConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ShuffleConfig

Methods

hashWithSalt :: Int -> ShuffleConfig -> Int #

hash :: ShuffleConfig -> Int #

type Rep ShuffleConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.ShuffleConfig

type Rep ShuffleConfig = D1 ('MetaData "ShuffleConfig" "Amazonka.SageMaker.Types.ShuffleConfig" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "ShuffleConfig'" 'PrefixI 'True) (S1 ('MetaSel ('Just "seed") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Integer)))

newShuffleConfig Source #

Arguments

:: Integer

$sel:seed:ShuffleConfig'

-> ShuffleConfig 

Create a value of ShuffleConfig with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:seed:ShuffleConfig', shuffleConfig_seed - Determines the shuffling order in ShuffleConfig value.

shuffleConfig_seed :: Lens' ShuffleConfig Integer Source #

Determines the shuffling order in ShuffleConfig value.

SourceAlgorithm

data SourceAlgorithm Source #

Specifies an algorithm that was used to create the model package. The algorithm must be either an algorithm resource in your SageMaker account or an algorithm in Amazon Web Services Marketplace that you are subscribed to.

See: newSourceAlgorithm smart constructor.

Constructors

SourceAlgorithm' 

Fields

  • modelDataUrl :: Maybe Text

    The Amazon S3 path where the model artifacts, which result from model training, are stored. This path must point to a single gzip compressed tar archive (.tar.gz suffix).

    The model artifacts must be in an S3 bucket that is in the same region as the algorithm.

  • algorithmName :: Text

    The name of an algorithm that was used to create the model package. The algorithm must be either an algorithm resource in your SageMaker account or an algorithm in Amazon Web Services Marketplace that you are subscribed to.

Instances

Instances details
FromJSON SourceAlgorithm Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SourceAlgorithm

Methods

parseJSON :: Value -> Parser SourceAlgorithm #

parseJSONList :: Value -> Parser [SourceAlgorithm] #

ToJSON SourceAlgorithm Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SourceAlgorithm

Methods

toJSON :: SourceAlgorithm -> Value #

toEncoding :: SourceAlgorithm -> Encoding #

toJSONList :: [SourceAlgorithm] -> Value #

toEncodingList :: [SourceAlgorithm] -> Encoding #

Generic SourceAlgorithm Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SourceAlgorithm

Associated Types

type Rep SourceAlgorithm :: Type -> Type #

Methods

from :: SourceAlgorithm -> Rep SourceAlgorithm x #

to :: Rep SourceAlgorithm x -> SourceAlgorithm #

Read SourceAlgorithm Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SourceAlgorithm

Methods

readsPrec :: Int -> ReadS SourceAlgorithm #

readList :: ReadS [SourceAlgorithm] #

readPrec :: ReadPrec SourceAlgorithm #

readListPrec :: ReadPrec [SourceAlgorithm] #

Show SourceAlgorithm Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SourceAlgorithm

Methods

showsPrec :: Int -> SourceAlgorithm -> ShowS #

show :: SourceAlgorithm -> String #

showList :: [SourceAlgorithm] -> ShowS #

NFData SourceAlgorithm Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SourceAlgorithm

Methods

rnf :: SourceAlgorithm -> () #

Eq SourceAlgorithm Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SourceAlgorithm

Methods

(==) :: SourceAlgorithm -> SourceAlgorithm -> Bool #

(/=) :: SourceAlgorithm -> SourceAlgorithm -> Bool #

Hashable SourceAlgorithm Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SourceAlgorithm

Methods

hashWithSalt :: Int -> SourceAlgorithm -> Int #

hash :: SourceAlgorithm -> Int #

type Rep SourceAlgorithm Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SourceAlgorithm

type Rep SourceAlgorithm = D1 ('MetaData "SourceAlgorithm" "Amazonka.SageMaker.Types.SourceAlgorithm" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "SourceAlgorithm'" 'PrefixI 'True) (S1 ('MetaSel ('Just "modelDataUrl") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "algorithmName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))

newSourceAlgorithm Source #

Arguments

:: Text

$sel:algorithmName:SourceAlgorithm'

-> SourceAlgorithm 

Create a value of SourceAlgorithm with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:modelDataUrl:SourceAlgorithm', sourceAlgorithm_modelDataUrl - The Amazon S3 path where the model artifacts, which result from model training, are stored. This path must point to a single gzip compressed tar archive (.tar.gz suffix).

The model artifacts must be in an S3 bucket that is in the same region as the algorithm.

$sel:algorithmName:SourceAlgorithm', sourceAlgorithm_algorithmName - The name of an algorithm that was used to create the model package. The algorithm must be either an algorithm resource in your SageMaker account or an algorithm in Amazon Web Services Marketplace that you are subscribed to.

sourceAlgorithm_modelDataUrl :: Lens' SourceAlgorithm (Maybe Text) Source #

The Amazon S3 path where the model artifacts, which result from model training, are stored. This path must point to a single gzip compressed tar archive (.tar.gz suffix).

The model artifacts must be in an S3 bucket that is in the same region as the algorithm.

sourceAlgorithm_algorithmName :: Lens' SourceAlgorithm Text Source #

The name of an algorithm that was used to create the model package. The algorithm must be either an algorithm resource in your SageMaker account or an algorithm in Amazon Web Services Marketplace that you are subscribed to.

SourceAlgorithmSpecification

data SourceAlgorithmSpecification Source #

A list of algorithms that were used to create a model package.

See: newSourceAlgorithmSpecification smart constructor.

Constructors

SourceAlgorithmSpecification' 

Fields

Instances

Instances details
FromJSON SourceAlgorithmSpecification Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SourceAlgorithmSpecification

Methods

parseJSON :: Value -> Parser SourceAlgorithmSpecification #

parseJSONList :: Value -> Parser [SourceAlgorithmSpecification] #

ToJSON SourceAlgorithmSpecification Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SourceAlgorithmSpecification

Methods

toJSON :: SourceAlgorithmSpecification -> Value #

toEncoding :: SourceAlgorithmSpecification -> Encoding #

toJSONList :: [SourceAlgorithmSpecification] -> Value #

toEncodingList :: [SourceAlgorithmSpecification] -> Encoding #

Generic SourceAlgorithmSpecification Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SourceAlgorithmSpecification

Associated Types

type Rep SourceAlgorithmSpecification :: Type -> Type #

Methods

from :: SourceAlgorithmSpecification -> Rep SourceAlgorithmSpecification x #

to :: Rep SourceAlgorithmSpecification x -> SourceAlgorithmSpecification #

Read SourceAlgorithmSpecification Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SourceAlgorithmSpecification

Methods

readsPrec :: Int -> ReadS SourceAlgorithmSpecification #

readList :: ReadS [SourceAlgorithmSpecification] #

readPrec :: ReadPrec SourceAlgorithmSpecification #

readListPrec :: ReadPrec [SourceAlgorithmSpecification] #

Show SourceAlgorithmSpecification Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SourceAlgorithmSpecification

Methods

showsPrec :: Int -> SourceAlgorithmSpecification -> ShowS #

show :: SourceAlgorithmSpecification -> String #

showList :: [SourceAlgorithmSpecification] -> ShowS #

NFData SourceAlgorithmSpecification Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SourceAlgorithmSpecification

Methods

rnf :: SourceAlgorithmSpecification -> () #

Eq SourceAlgorithmSpecification Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SourceAlgorithmSpecification

Methods

(==) :: SourceAlgorithmSpecification -> SourceAlgorithmSpecification -> Bool #

(/=) :: SourceAlgorithmSpecification -> SourceAlgorithmSpecification -> Bool #

Hashable SourceAlgorithmSpecification Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SourceAlgorithmSpecification

Methods

hashWithSalt :: Int -> SourceAlgorithmSpecification -> Int #

hash :: SourceAlgorithmSpecification -> Int #

type Rep SourceAlgorithmSpecification Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SourceAlgorithmSpecification

type Rep SourceAlgorithmSpecification = D1 ('MetaData "SourceAlgorithmSpecification" "Amazonka.SageMaker.Types.SourceAlgorithmSpecification" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "SourceAlgorithmSpecification'" 'PrefixI 'True) (S1 ('MetaSel ('Just "sourceAlgorithms") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (NonEmpty SourceAlgorithm))))

newSourceAlgorithmSpecification Source #

Arguments

:: NonEmpty SourceAlgorithm

$sel:sourceAlgorithms:SourceAlgorithmSpecification'

-> SourceAlgorithmSpecification 

Create a value of SourceAlgorithmSpecification with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:sourceAlgorithms:SourceAlgorithmSpecification', sourceAlgorithmSpecification_sourceAlgorithms - A list of the algorithms that were used to create a model package.

sourceAlgorithmSpecification_sourceAlgorithms :: Lens' SourceAlgorithmSpecification (NonEmpty SourceAlgorithm) Source #

A list of the algorithms that were used to create a model package.

SourceIpConfig

data SourceIpConfig Source #

A list of IP address ranges (CIDRs). Used to create an allow list of IP addresses for a private workforce. Workers will only be able to login to their worker portal from an IP address within this range. By default, a workforce isn't restricted to specific IP addresses.

See: newSourceIpConfig smart constructor.

Constructors

SourceIpConfig' 

Fields

Instances

Instances details
FromJSON SourceIpConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SourceIpConfig

Methods

parseJSON :: Value -> Parser SourceIpConfig #

parseJSONList :: Value -> Parser [SourceIpConfig] #

ToJSON SourceIpConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SourceIpConfig

Methods

toJSON :: SourceIpConfig -> Value #

toEncoding :: SourceIpConfig -> Encoding #

toJSONList :: [SourceIpConfig] -> Value #

toEncodingList :: [SourceIpConfig] -> Encoding #

Generic SourceIpConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SourceIpConfig

Associated Types

type Rep SourceIpConfig :: Type -> Type #

Methods

from :: SourceIpConfig -> Rep SourceIpConfig x #

to :: Rep SourceIpConfig x -> SourceIpConfig #

Read SourceIpConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SourceIpConfig

Methods

readsPrec :: Int -> ReadS SourceIpConfig #

readList :: ReadS [SourceIpConfig] #

readPrec :: ReadPrec SourceIpConfig #

readListPrec :: ReadPrec [SourceIpConfig] #

Show SourceIpConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SourceIpConfig

Methods

showsPrec :: Int -> SourceIpConfig -> ShowS #

show :: SourceIpConfig -> String #

showList :: [SourceIpConfig] -> ShowS #

NFData SourceIpConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SourceIpConfig

Methods

rnf :: SourceIpConfig -> () #

Eq SourceIpConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SourceIpConfig

Methods

(==) :: SourceIpConfig -> SourceIpConfig -> Bool #

(/=) :: SourceIpConfig -> SourceIpConfig -> Bool #

Hashable SourceIpConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SourceIpConfig

Methods

hashWithSalt :: Int -> SourceIpConfig -> Int #

hash :: SourceIpConfig -> Int #

type Rep SourceIpConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SourceIpConfig

type Rep SourceIpConfig = D1 ('MetaData "SourceIpConfig" "Amazonka.SageMaker.Types.SourceIpConfig" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "SourceIpConfig'" 'PrefixI 'True) (S1 ('MetaSel ('Just "cidrs") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 [Text])))

newSourceIpConfig :: SourceIpConfig Source #

Create a value of SourceIpConfig with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:cidrs:SourceIpConfig', sourceIpConfig_cidrs - A list of one to ten Classless Inter-Domain Routing (CIDR) values.

Maximum: Ten CIDR values

The following Length Constraints apply to individual CIDR values in the CIDR value list.

sourceIpConfig_cidrs :: Lens' SourceIpConfig [Text] Source #

A list of one to ten Classless Inter-Domain Routing (CIDR) values.

Maximum: Ten CIDR values

The following Length Constraints apply to individual CIDR values in the CIDR value list.

SpaceDetails

data SpaceDetails Source #

The space's details.

See: newSpaceDetails smart constructor.

Constructors

SpaceDetails' 

Fields

Instances

Instances details
FromJSON SpaceDetails Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SpaceDetails

Methods

parseJSON :: Value -> Parser SpaceDetails #

parseJSONList :: Value -> Parser [SpaceDetails] #

Generic SpaceDetails Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SpaceDetails

Associated Types

type Rep SpaceDetails :: Type -> Type #

Methods

from :: SpaceDetails -> Rep SpaceDetails x #

to :: Rep SpaceDetails x -> SpaceDetails #

Read SpaceDetails Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SpaceDetails

Methods

readsPrec :: Int -> ReadS SpaceDetails #

readList :: ReadS [SpaceDetails] #

readPrec :: ReadPrec SpaceDetails #

readListPrec :: ReadPrec [SpaceDetails] #

Show SpaceDetails Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SpaceDetails

Methods

showsPrec :: Int -> SpaceDetails -> ShowS #

show :: SpaceDetails -> String #

showList :: [SpaceDetails] -> ShowS #

NFData SpaceDetails Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SpaceDetails

Methods

rnf :: SpaceDetails -> () #

Eq SpaceDetails Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SpaceDetails

Methods

(==) :: SpaceDetails -> SpaceDetails -> Bool #

(/=) :: SpaceDetails -> SpaceDetails -> Bool #

Hashable SpaceDetails Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SpaceDetails

Methods

hashWithSalt :: Int -> SpaceDetails -> Int #

hash :: SpaceDetails -> Int #

type Rep SpaceDetails Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SpaceDetails

type Rep SpaceDetails = D1 ('MetaData "SpaceDetails" "Amazonka.SageMaker.Types.SpaceDetails" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "SpaceDetails'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "creationTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :*: S1 ('MetaSel ('Just "domainId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))) :*: (S1 ('MetaSel ('Just "lastModifiedTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :*: (S1 ('MetaSel ('Just "spaceName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "status") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe SpaceStatus))))))

newSpaceDetails :: SpaceDetails Source #

Create a value of SpaceDetails with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:creationTime:SpaceDetails', spaceDetails_creationTime - The creation time.

$sel:domainId:SpaceDetails', spaceDetails_domainId - The ID of the associated Domain.

$sel:lastModifiedTime:SpaceDetails', spaceDetails_lastModifiedTime - The last modified time.

$sel:spaceName:SpaceDetails', spaceDetails_spaceName - The name of the space.

$sel:status:SpaceDetails', spaceDetails_status - The status.

spaceDetails_creationTime :: Lens' SpaceDetails (Maybe UTCTime) Source #

The creation time.

spaceDetails_domainId :: Lens' SpaceDetails (Maybe Text) Source #

The ID of the associated Domain.

spaceDetails_lastModifiedTime :: Lens' SpaceDetails (Maybe UTCTime) Source #

The last modified time.

spaceDetails_spaceName :: Lens' SpaceDetails (Maybe Text) Source #

The name of the space.

spaceDetails_status :: Lens' SpaceDetails (Maybe SpaceStatus) Source #

The status.

SpaceSettings

data SpaceSettings Source #

A collection of space settings.

See: newSpaceSettings smart constructor.

Constructors

SpaceSettings' 

Fields

Instances

Instances details
FromJSON SpaceSettings Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SpaceSettings

Methods

parseJSON :: Value -> Parser SpaceSettings #

parseJSONList :: Value -> Parser [SpaceSettings] #

ToJSON SpaceSettings Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SpaceSettings

Methods

toJSON :: SpaceSettings -> Value #

toEncoding :: SpaceSettings -> Encoding #

toJSONList :: [SpaceSettings] -> Value #

toEncodingList :: [SpaceSettings] -> Encoding #

Generic SpaceSettings Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SpaceSettings

Associated Types

type Rep SpaceSettings :: Type -> Type #

Methods

from :: SpaceSettings -> Rep SpaceSettings x #

to :: Rep SpaceSettings x -> SpaceSettings #

Read SpaceSettings Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SpaceSettings

Methods

readsPrec :: Int -> ReadS SpaceSettings #

readList :: ReadS [SpaceSettings] #

readPrec :: ReadPrec SpaceSettings #

readListPrec :: ReadPrec [SpaceSettings] #

Show SpaceSettings Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SpaceSettings

Methods

showsPrec :: Int -> SpaceSettings -> ShowS #

show :: SpaceSettings -> String #

showList :: [SpaceSettings] -> ShowS #

NFData SpaceSettings Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SpaceSettings

Methods

rnf :: SpaceSettings -> () #

Eq SpaceSettings Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SpaceSettings

Methods

(==) :: SpaceSettings -> SpaceSettings -> Bool #

(/=) :: SpaceSettings -> SpaceSettings -> Bool #

Hashable SpaceSettings Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SpaceSettings

Methods

hashWithSalt :: Int -> SpaceSettings -> Int #

hash :: SpaceSettings -> Int #

type Rep SpaceSettings Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SpaceSettings

type Rep SpaceSettings = D1 ('MetaData "SpaceSettings" "Amazonka.SageMaker.Types.SpaceSettings" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "SpaceSettings'" 'PrefixI 'True) (S1 ('MetaSel ('Just "jupyterServerAppSettings") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe JupyterServerAppSettings)) :*: S1 ('MetaSel ('Just "kernelGatewayAppSettings") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe KernelGatewayAppSettings))))

newSpaceSettings :: SpaceSettings Source #

Create a value of SpaceSettings with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:jupyterServerAppSettings:SpaceSettings', spaceSettings_jupyterServerAppSettings - Undocumented member.

$sel:kernelGatewayAppSettings:SpaceSettings', spaceSettings_kernelGatewayAppSettings - Undocumented member.

spaceSettings_jupyterServerAppSettings :: Lens' SpaceSettings (Maybe JupyterServerAppSettings) Source #

Undocumented member.

spaceSettings_kernelGatewayAppSettings :: Lens' SpaceSettings (Maybe KernelGatewayAppSettings) Source #

Undocumented member.

StoppingCondition

data StoppingCondition Source #

Specifies a limit to how long a model training job or model compilation job can run. It also specifies how long a managed spot training job has to complete. When the job reaches the time limit, SageMaker ends the training or compilation job. Use this API to cap model training costs.

To stop a training job, SageMaker sends the algorithm the SIGTERM signal, which delays job termination for 120 seconds. Algorithms can use this 120-second window to save the model artifacts, so the results of training are not lost.

The training algorithms provided by SageMaker automatically save the intermediate results of a model training job when possible. This attempt to save artifacts is only a best effort case as model might not be in a state from which it can be saved. For example, if training has just started, the model might not be ready to save. When saved, this intermediate data is a valid model artifact. You can use it to create a model with CreateModel.

The Neural Topic Model (NTM) currently does not support saving intermediate model artifacts. When training NTMs, make sure that the maximum runtime is sufficient for the training job to complete.

See: newStoppingCondition smart constructor.

Constructors

StoppingCondition' 

Fields

  • maxRuntimeInSeconds :: Maybe Natural

    The maximum length of time, in seconds, that a training or compilation job can run before it is stopped.

    For compilation jobs, if the job does not complete during this time, a TimeOut error is generated. We recommend starting with 900 seconds and increasing as necessary based on your model.

    For all other jobs, if the job does not complete during this time, SageMaker ends the job. When RetryStrategy is specified in the job request, MaxRuntimeInSeconds specifies the maximum time for all of the attempts in total, not each individual attempt. The default value is 1 day. The maximum value is 28 days.

    The maximum time that a TrainingJob can run in total, including any time spent publishing metrics or archiving and uploading models after it has been stopped, is 30 days.

  • maxWaitTimeInSeconds :: Maybe Natural

    The maximum length of time, in seconds, that a managed Spot training job has to complete. It is the amount of time spent waiting for Spot capacity plus the amount of time the job can run. It must be equal to or greater than MaxRuntimeInSeconds. If the job does not complete during this time, SageMaker ends the job.

    When RetryStrategy is specified in the job request, MaxWaitTimeInSeconds specifies the maximum time for all of the attempts in total, not each individual attempt.

Instances

Instances details
FromJSON StoppingCondition Source # 
Instance details

Defined in Amazonka.SageMaker.Types.StoppingCondition

Methods

parseJSON :: Value -> Parser StoppingCondition #

parseJSONList :: Value -> Parser [StoppingCondition] #

ToJSON StoppingCondition Source # 
Instance details

Defined in Amazonka.SageMaker.Types.StoppingCondition

Methods

toJSON :: StoppingCondition -> Value #

toEncoding :: StoppingCondition -> Encoding #

toJSONList :: [StoppingCondition] -> Value #

toEncodingList :: [StoppingCondition] -> Encoding #

Generic StoppingCondition Source # 
Instance details

Defined in Amazonka.SageMaker.Types.StoppingCondition

Associated Types

type Rep StoppingCondition :: Type -> Type #

Methods

from :: StoppingCondition -> Rep StoppingCondition x #

to :: Rep StoppingCondition x -> StoppingCondition #

Read StoppingCondition Source # 
Instance details

Defined in Amazonka.SageMaker.Types.StoppingCondition

Methods

readsPrec :: Int -> ReadS StoppingCondition #

readList :: ReadS [StoppingCondition] #

readPrec :: ReadPrec StoppingCondition #

readListPrec :: ReadPrec [StoppingCondition] #

Show StoppingCondition Source # 
Instance details

Defined in Amazonka.SageMaker.Types.StoppingCondition

Methods

showsPrec :: Int -> StoppingCondition -> ShowS #

show :: StoppingCondition -> String #

showList :: [StoppingCondition] -> ShowS #

NFData StoppingCondition Source # 
Instance details

Defined in Amazonka.SageMaker.Types.StoppingCondition

Methods

rnf :: StoppingCondition -> () #

Eq StoppingCondition Source # 
Instance details

Defined in Amazonka.SageMaker.Types.StoppingCondition

Methods

(==) :: StoppingCondition -> StoppingCondition -> Bool #

(/=) :: StoppingCondition -> StoppingCondition -> Bool #

Hashable StoppingCondition Source # 
Instance details

Defined in Amazonka.SageMaker.Types.StoppingCondition

Methods

hashWithSalt :: Int -> StoppingCondition -> Int #

hash :: StoppingCondition -> Int #

type Rep StoppingCondition Source # 
Instance details

Defined in Amazonka.SageMaker.Types.StoppingCondition

type Rep StoppingCondition = D1 ('MetaData "StoppingCondition" "Amazonka.SageMaker.Types.StoppingCondition" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "StoppingCondition'" 'PrefixI 'True) (S1 ('MetaSel ('Just "maxRuntimeInSeconds") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural)) :*: S1 ('MetaSel ('Just "maxWaitTimeInSeconds") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural))))

newStoppingCondition :: StoppingCondition Source #

Create a value of StoppingCondition with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:maxRuntimeInSeconds:StoppingCondition', stoppingCondition_maxRuntimeInSeconds - The maximum length of time, in seconds, that a training or compilation job can run before it is stopped.

For compilation jobs, if the job does not complete during this time, a TimeOut error is generated. We recommend starting with 900 seconds and increasing as necessary based on your model.

For all other jobs, if the job does not complete during this time, SageMaker ends the job. When RetryStrategy is specified in the job request, MaxRuntimeInSeconds specifies the maximum time for all of the attempts in total, not each individual attempt. The default value is 1 day. The maximum value is 28 days.

The maximum time that a TrainingJob can run in total, including any time spent publishing metrics or archiving and uploading models after it has been stopped, is 30 days.

$sel:maxWaitTimeInSeconds:StoppingCondition', stoppingCondition_maxWaitTimeInSeconds - The maximum length of time, in seconds, that a managed Spot training job has to complete. It is the amount of time spent waiting for Spot capacity plus the amount of time the job can run. It must be equal to or greater than MaxRuntimeInSeconds. If the job does not complete during this time, SageMaker ends the job.

When RetryStrategy is specified in the job request, MaxWaitTimeInSeconds specifies the maximum time for all of the attempts in total, not each individual attempt.

stoppingCondition_maxRuntimeInSeconds :: Lens' StoppingCondition (Maybe Natural) Source #

The maximum length of time, in seconds, that a training or compilation job can run before it is stopped.

For compilation jobs, if the job does not complete during this time, a TimeOut error is generated. We recommend starting with 900 seconds and increasing as necessary based on your model.

For all other jobs, if the job does not complete during this time, SageMaker ends the job. When RetryStrategy is specified in the job request, MaxRuntimeInSeconds specifies the maximum time for all of the attempts in total, not each individual attempt. The default value is 1 day. The maximum value is 28 days.

The maximum time that a TrainingJob can run in total, including any time spent publishing metrics or archiving and uploading models after it has been stopped, is 30 days.

stoppingCondition_maxWaitTimeInSeconds :: Lens' StoppingCondition (Maybe Natural) Source #

The maximum length of time, in seconds, that a managed Spot training job has to complete. It is the amount of time spent waiting for Spot capacity plus the amount of time the job can run. It must be equal to or greater than MaxRuntimeInSeconds. If the job does not complete during this time, SageMaker ends the job.

When RetryStrategy is specified in the job request, MaxWaitTimeInSeconds specifies the maximum time for all of the attempts in total, not each individual attempt.

StudioLifecycleConfigDetails

data StudioLifecycleConfigDetails Source #

Details of the Studio Lifecycle Configuration.

See: newStudioLifecycleConfigDetails smart constructor.

Constructors

StudioLifecycleConfigDetails' 

Fields

Instances

Instances details
FromJSON StudioLifecycleConfigDetails Source # 
Instance details

Defined in Amazonka.SageMaker.Types.StudioLifecycleConfigDetails

Methods

parseJSON :: Value -> Parser StudioLifecycleConfigDetails #

parseJSONList :: Value -> Parser [StudioLifecycleConfigDetails] #

Generic StudioLifecycleConfigDetails Source # 
Instance details

Defined in Amazonka.SageMaker.Types.StudioLifecycleConfigDetails

Associated Types

type Rep StudioLifecycleConfigDetails :: Type -> Type #

Methods

from :: StudioLifecycleConfigDetails -> Rep StudioLifecycleConfigDetails x #

to :: Rep StudioLifecycleConfigDetails x -> StudioLifecycleConfigDetails #

Read StudioLifecycleConfigDetails Source # 
Instance details

Defined in Amazonka.SageMaker.Types.StudioLifecycleConfigDetails

Methods

readsPrec :: Int -> ReadS StudioLifecycleConfigDetails #

readList :: ReadS [StudioLifecycleConfigDetails] #

readPrec :: ReadPrec StudioLifecycleConfigDetails #

readListPrec :: ReadPrec [StudioLifecycleConfigDetails] #

Show StudioLifecycleConfigDetails Source # 
Instance details

Defined in Amazonka.SageMaker.Types.StudioLifecycleConfigDetails

Methods

showsPrec :: Int -> StudioLifecycleConfigDetails -> ShowS #

show :: StudioLifecycleConfigDetails -> String #

showList :: [StudioLifecycleConfigDetails] -> ShowS #

NFData StudioLifecycleConfigDetails Source # 
Instance details

Defined in Amazonka.SageMaker.Types.StudioLifecycleConfigDetails

Methods

rnf :: StudioLifecycleConfigDetails -> () #

Eq StudioLifecycleConfigDetails Source # 
Instance details

Defined in Amazonka.SageMaker.Types.StudioLifecycleConfigDetails

Methods

(==) :: StudioLifecycleConfigDetails -> StudioLifecycleConfigDetails -> Bool #

(/=) :: StudioLifecycleConfigDetails -> StudioLifecycleConfigDetails -> Bool #

Hashable StudioLifecycleConfigDetails Source # 
Instance details

Defined in Amazonka.SageMaker.Types.StudioLifecycleConfigDetails

Methods

hashWithSalt :: Int -> StudioLifecycleConfigDetails -> Int #

hash :: StudioLifecycleConfigDetails -> Int #

type Rep StudioLifecycleConfigDetails Source # 
Instance details

Defined in Amazonka.SageMaker.Types.StudioLifecycleConfigDetails

type Rep StudioLifecycleConfigDetails = D1 ('MetaData "StudioLifecycleConfigDetails" "Amazonka.SageMaker.Types.StudioLifecycleConfigDetails" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "StudioLifecycleConfigDetails'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "creationTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :*: S1 ('MetaSel ('Just "lastModifiedTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX))) :*: (S1 ('MetaSel ('Just "studioLifecycleConfigAppType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe StudioLifecycleConfigAppType)) :*: (S1 ('MetaSel ('Just "studioLifecycleConfigArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "studioLifecycleConfigName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))))

newStudioLifecycleConfigDetails :: StudioLifecycleConfigDetails Source #

Create a value of StudioLifecycleConfigDetails with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:creationTime:StudioLifecycleConfigDetails', studioLifecycleConfigDetails_creationTime - The creation time of the Studio Lifecycle Configuration.

$sel:lastModifiedTime:StudioLifecycleConfigDetails', studioLifecycleConfigDetails_lastModifiedTime - This value is equivalent to CreationTime because Studio Lifecycle Configurations are immutable.

$sel:studioLifecycleConfigAppType:StudioLifecycleConfigDetails', studioLifecycleConfigDetails_studioLifecycleConfigAppType - The App type to which the Lifecycle Configuration is attached.

$sel:studioLifecycleConfigArn:StudioLifecycleConfigDetails', studioLifecycleConfigDetails_studioLifecycleConfigArn - The Amazon Resource Name (ARN) of the Lifecycle Configuration.

$sel:studioLifecycleConfigName:StudioLifecycleConfigDetails', studioLifecycleConfigDetails_studioLifecycleConfigName - The name of the Studio Lifecycle Configuration.

studioLifecycleConfigDetails_creationTime :: Lens' StudioLifecycleConfigDetails (Maybe UTCTime) Source #

The creation time of the Studio Lifecycle Configuration.

studioLifecycleConfigDetails_lastModifiedTime :: Lens' StudioLifecycleConfigDetails (Maybe UTCTime) Source #

This value is equivalent to CreationTime because Studio Lifecycle Configurations are immutable.

studioLifecycleConfigDetails_studioLifecycleConfigAppType :: Lens' StudioLifecycleConfigDetails (Maybe StudioLifecycleConfigAppType) Source #

The App type to which the Lifecycle Configuration is attached.

studioLifecycleConfigDetails_studioLifecycleConfigArn :: Lens' StudioLifecycleConfigDetails (Maybe Text) Source #

The Amazon Resource Name (ARN) of the Lifecycle Configuration.

studioLifecycleConfigDetails_studioLifecycleConfigName :: Lens' StudioLifecycleConfigDetails (Maybe Text) Source #

The name of the Studio Lifecycle Configuration.

SubscribedWorkteam

data SubscribedWorkteam Source #

Describes a work team of a vendor that does the a labelling job.

See: newSubscribedWorkteam smart constructor.

Constructors

SubscribedWorkteam' 

Fields

Instances

Instances details
FromJSON SubscribedWorkteam Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SubscribedWorkteam

Methods

parseJSON :: Value -> Parser SubscribedWorkteam #

parseJSONList :: Value -> Parser [SubscribedWorkteam] #

Generic SubscribedWorkteam Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SubscribedWorkteam

Associated Types

type Rep SubscribedWorkteam :: Type -> Type #

Methods

from :: SubscribedWorkteam -> Rep SubscribedWorkteam x #

to :: Rep SubscribedWorkteam x -> SubscribedWorkteam #

Read SubscribedWorkteam Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SubscribedWorkteam

Methods

readsPrec :: Int -> ReadS SubscribedWorkteam #

readList :: ReadS [SubscribedWorkteam] #

readPrec :: ReadPrec SubscribedWorkteam #

readListPrec :: ReadPrec [SubscribedWorkteam] #

Show SubscribedWorkteam Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SubscribedWorkteam

Methods

showsPrec :: Int -> SubscribedWorkteam -> ShowS #

show :: SubscribedWorkteam -> String #

showList :: [SubscribedWorkteam] -> ShowS #

NFData SubscribedWorkteam Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SubscribedWorkteam

Methods

rnf :: SubscribedWorkteam -> () #

Eq SubscribedWorkteam Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SubscribedWorkteam

Methods

(==) :: SubscribedWorkteam -> SubscribedWorkteam -> Bool #

(/=) :: SubscribedWorkteam -> SubscribedWorkteam -> Bool #

Hashable SubscribedWorkteam Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SubscribedWorkteam

Methods

hashWithSalt :: Int -> SubscribedWorkteam -> Int #

hash :: SubscribedWorkteam -> Int #

type Rep SubscribedWorkteam Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SubscribedWorkteam

type Rep SubscribedWorkteam = D1 ('MetaData "SubscribedWorkteam" "Amazonka.SageMaker.Types.SubscribedWorkteam" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "SubscribedWorkteam'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "listingId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "marketplaceDescription") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))) :*: (S1 ('MetaSel ('Just "marketplaceTitle") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: (S1 ('MetaSel ('Just "sellerName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "workteamArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))))

newSubscribedWorkteam Source #

Arguments

:: Text

$sel:workteamArn:SubscribedWorkteam'

-> SubscribedWorkteam 

Create a value of SubscribedWorkteam with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:listingId:SubscribedWorkteam', subscribedWorkteam_listingId - Marketplace product listing ID.

$sel:marketplaceDescription:SubscribedWorkteam', subscribedWorkteam_marketplaceDescription - The description of the vendor from the Amazon Marketplace.

$sel:marketplaceTitle:SubscribedWorkteam', subscribedWorkteam_marketplaceTitle - The title of the service provided by the vendor in the Amazon Marketplace.

$sel:sellerName:SubscribedWorkteam', subscribedWorkteam_sellerName - The name of the vendor in the Amazon Marketplace.

$sel:workteamArn:SubscribedWorkteam', subscribedWorkteam_workteamArn - The Amazon Resource Name (ARN) of the vendor that you have subscribed.

subscribedWorkteam_listingId :: Lens' SubscribedWorkteam (Maybe Text) Source #

Marketplace product listing ID.

subscribedWorkteam_marketplaceDescription :: Lens' SubscribedWorkteam (Maybe Text) Source #

The description of the vendor from the Amazon Marketplace.

subscribedWorkteam_marketplaceTitle :: Lens' SubscribedWorkteam (Maybe Text) Source #

The title of the service provided by the vendor in the Amazon Marketplace.

subscribedWorkteam_sellerName :: Lens' SubscribedWorkteam (Maybe Text) Source #

The name of the vendor in the Amazon Marketplace.

subscribedWorkteam_workteamArn :: Lens' SubscribedWorkteam Text Source #

The Amazon Resource Name (ARN) of the vendor that you have subscribed.

SuggestionQuery

data SuggestionQuery Source #

Specified in the GetSearchSuggestions request. Limits the property names that are included in the response.

See: newSuggestionQuery smart constructor.

Constructors

SuggestionQuery' 

Fields

Instances

Instances details
ToJSON SuggestionQuery Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SuggestionQuery

Methods

toJSON :: SuggestionQuery -> Value #

toEncoding :: SuggestionQuery -> Encoding #

toJSONList :: [SuggestionQuery] -> Value #

toEncodingList :: [SuggestionQuery] -> Encoding #

Generic SuggestionQuery Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SuggestionQuery

Associated Types

type Rep SuggestionQuery :: Type -> Type #

Methods

from :: SuggestionQuery -> Rep SuggestionQuery x #

to :: Rep SuggestionQuery x -> SuggestionQuery #

Read SuggestionQuery Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SuggestionQuery

Methods

readsPrec :: Int -> ReadS SuggestionQuery #

readList :: ReadS [SuggestionQuery] #

readPrec :: ReadPrec SuggestionQuery #

readListPrec :: ReadPrec [SuggestionQuery] #

Show SuggestionQuery Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SuggestionQuery

Methods

showsPrec :: Int -> SuggestionQuery -> ShowS #

show :: SuggestionQuery -> String #

showList :: [SuggestionQuery] -> ShowS #

NFData SuggestionQuery Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SuggestionQuery

Methods

rnf :: SuggestionQuery -> () #

Eq SuggestionQuery Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SuggestionQuery

Methods

(==) :: SuggestionQuery -> SuggestionQuery -> Bool #

(/=) :: SuggestionQuery -> SuggestionQuery -> Bool #

Hashable SuggestionQuery Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SuggestionQuery

Methods

hashWithSalt :: Int -> SuggestionQuery -> Int #

hash :: SuggestionQuery -> Int #

type Rep SuggestionQuery Source # 
Instance details

Defined in Amazonka.SageMaker.Types.SuggestionQuery

type Rep SuggestionQuery = D1 ('MetaData "SuggestionQuery" "Amazonka.SageMaker.Types.SuggestionQuery" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "SuggestionQuery'" 'PrefixI 'True) (S1 ('MetaSel ('Just "propertyNameQuery") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe PropertyNameQuery))))

newSuggestionQuery :: SuggestionQuery Source #

Create a value of SuggestionQuery with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:propertyNameQuery:SuggestionQuery', suggestionQuery_propertyNameQuery - Defines a property name hint. Only property names that begin with the specified hint are included in the response.

suggestionQuery_propertyNameQuery :: Lens' SuggestionQuery (Maybe PropertyNameQuery) Source #

Defines a property name hint. Only property names that begin with the specified hint are included in the response.

Tag

data Tag Source #

A tag object that consists of a key and an optional value, used to manage metadata for SageMaker Amazon Web Services resources.

You can add tags to notebook instances, training jobs, hyperparameter tuning jobs, batch transform jobs, models, labeling jobs, work teams, endpoint configurations, and endpoints. For more information on adding tags to SageMaker resources, see AddTags.

For more information on adding metadata to your Amazon Web Services resources with tagging, see Tagging Amazon Web Services resources. For advice on best practices for managing Amazon Web Services resources with tagging, see Tagging Best Practices: Implement an Effective Amazon Web Services Resource Tagging Strategy.

See: newTag smart constructor.

Constructors

Tag' 

Fields

  • key :: Text

    The tag key. Tag keys must be unique per resource.

  • value :: Text

    The tag value.

Instances

Instances details
FromJSON Tag Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Tag

Methods

parseJSON :: Value -> Parser Tag #

parseJSONList :: Value -> Parser [Tag] #

ToJSON Tag Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Tag

Methods

toJSON :: Tag -> Value #

toEncoding :: Tag -> Encoding #

toJSONList :: [Tag] -> Value #

toEncodingList :: [Tag] -> Encoding #

Generic Tag Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Tag

Associated Types

type Rep Tag :: Type -> Type #

Methods

from :: Tag -> Rep Tag x #

to :: Rep Tag x -> Tag #

Read Tag Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Tag

Methods

readsPrec :: Int -> ReadS Tag #

readList :: ReadS [Tag] #

readPrec :: ReadPrec Tag #

readListPrec :: ReadPrec [Tag] #

Show Tag Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Tag

Methods

showsPrec :: Int -> Tag -> ShowS #

show :: Tag -> String #

showList :: [Tag] -> ShowS #

NFData Tag Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Tag

Methods

rnf :: Tag -> () #

Eq Tag Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Tag

Methods

(==) :: Tag -> Tag -> Bool #

(/=) :: Tag -> Tag -> Bool #

Hashable Tag Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Tag

Methods

hashWithSalt :: Int -> Tag -> Int #

hash :: Tag -> Int #

type Rep Tag Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Tag

type Rep Tag = D1 ('MetaData "Tag" "Amazonka.SageMaker.Types.Tag" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "Tag'" 'PrefixI 'True) (S1 ('MetaSel ('Just "key") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: S1 ('MetaSel ('Just "value") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))

newTag Source #

Arguments

:: Text

$sel:key:Tag'

-> Text

$sel:value:Tag'

-> Tag 

Create a value of Tag with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:key:Tag', tag_key - The tag key. Tag keys must be unique per resource.

$sel:value:Tag', tag_value - The tag value.

tag_key :: Lens' Tag Text Source #

The tag key. Tag keys must be unique per resource.

tag_value :: Lens' Tag Text Source #

The tag value.

TargetPlatform

data TargetPlatform Source #

Contains information about a target platform that you want your model to run on, such as OS, architecture, and accelerators. It is an alternative of TargetDevice.

See: newTargetPlatform smart constructor.

Constructors

TargetPlatform' 

Fields

  • accelerator :: Maybe TargetPlatformAccelerator

    Specifies a target platform accelerator (optional).

    • NVIDIA: Nvidia graphics processing unit. It also requires gpu-code, trt-ver, cuda-ver compiler options
    • MALI: ARM Mali graphics processor
    • INTEL_GRAPHICS: Integrated Intel graphics
  • os :: TargetPlatformOs

    Specifies a target platform OS.

    • LINUX: Linux-based operating systems.
    • ANDROID: Android operating systems. Android API level can be specified using the ANDROID_PLATFORM compiler option. For example, "CompilerOptions": {'ANDROID_PLATFORM': 28}
  • arch :: TargetPlatformArch

    Specifies a target platform architecture.

    • X86_64: 64-bit version of the x86 instruction set.
    • X86: 32-bit version of the x86 instruction set.
    • ARM64: ARMv8 64-bit CPU.
    • ARM_EABIHF: ARMv7 32-bit, Hard Float.
    • ARM_EABI: ARMv7 32-bit, Soft Float. Used by Android 32-bit ARM platform.

Instances

Instances details
FromJSON TargetPlatform Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TargetPlatform

Methods

parseJSON :: Value -> Parser TargetPlatform #

parseJSONList :: Value -> Parser [TargetPlatform] #

ToJSON TargetPlatform Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TargetPlatform

Methods

toJSON :: TargetPlatform -> Value #

toEncoding :: TargetPlatform -> Encoding #

toJSONList :: [TargetPlatform] -> Value #

toEncodingList :: [TargetPlatform] -> Encoding #

Generic TargetPlatform Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TargetPlatform

Associated Types

type Rep TargetPlatform :: Type -> Type #

Methods

from :: TargetPlatform -> Rep TargetPlatform x #

to :: Rep TargetPlatform x -> TargetPlatform #

Read TargetPlatform Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TargetPlatform

Methods

readsPrec :: Int -> ReadS TargetPlatform #

readList :: ReadS [TargetPlatform] #

readPrec :: ReadPrec TargetPlatform #

readListPrec :: ReadPrec [TargetPlatform] #

Show TargetPlatform Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TargetPlatform

Methods

showsPrec :: Int -> TargetPlatform -> ShowS #

show :: TargetPlatform -> String #

showList :: [TargetPlatform] -> ShowS #

NFData TargetPlatform Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TargetPlatform

Methods

rnf :: TargetPlatform -> () #

Eq TargetPlatform Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TargetPlatform

Methods

(==) :: TargetPlatform -> TargetPlatform -> Bool #

(/=) :: TargetPlatform -> TargetPlatform -> Bool #

Hashable TargetPlatform Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TargetPlatform

Methods

hashWithSalt :: Int -> TargetPlatform -> Int #

hash :: TargetPlatform -> Int #

type Rep TargetPlatform Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TargetPlatform

type Rep TargetPlatform = D1 ('MetaData "TargetPlatform" "Amazonka.SageMaker.Types.TargetPlatform" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "TargetPlatform'" 'PrefixI 'True) (S1 ('MetaSel ('Just "accelerator") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe TargetPlatformAccelerator)) :*: (S1 ('MetaSel ('Just "os") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 TargetPlatformOs) :*: S1 ('MetaSel ('Just "arch") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 TargetPlatformArch))))

newTargetPlatform Source #

Arguments

:: TargetPlatformOs

$sel:os:TargetPlatform'

-> TargetPlatformArch

$sel:arch:TargetPlatform'

-> TargetPlatform 

Create a value of TargetPlatform with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:accelerator:TargetPlatform', targetPlatform_accelerator - Specifies a target platform accelerator (optional).

  • NVIDIA: Nvidia graphics processing unit. It also requires gpu-code, trt-ver, cuda-ver compiler options
  • MALI: ARM Mali graphics processor
  • INTEL_GRAPHICS: Integrated Intel graphics

$sel:os:TargetPlatform', targetPlatform_os - Specifies a target platform OS.

  • LINUX: Linux-based operating systems.
  • ANDROID: Android operating systems. Android API level can be specified using the ANDROID_PLATFORM compiler option. For example, "CompilerOptions": {'ANDROID_PLATFORM': 28}

$sel:arch:TargetPlatform', targetPlatform_arch - Specifies a target platform architecture.

  • X86_64: 64-bit version of the x86 instruction set.
  • X86: 32-bit version of the x86 instruction set.
  • ARM64: ARMv8 64-bit CPU.
  • ARM_EABIHF: ARMv7 32-bit, Hard Float.
  • ARM_EABI: ARMv7 32-bit, Soft Float. Used by Android 32-bit ARM platform.

targetPlatform_accelerator :: Lens' TargetPlatform (Maybe TargetPlatformAccelerator) Source #

Specifies a target platform accelerator (optional).

  • NVIDIA: Nvidia graphics processing unit. It also requires gpu-code, trt-ver, cuda-ver compiler options
  • MALI: ARM Mali graphics processor
  • INTEL_GRAPHICS: Integrated Intel graphics

targetPlatform_os :: Lens' TargetPlatform TargetPlatformOs Source #

Specifies a target platform OS.

  • LINUX: Linux-based operating systems.
  • ANDROID: Android operating systems. Android API level can be specified using the ANDROID_PLATFORM compiler option. For example, "CompilerOptions": {'ANDROID_PLATFORM': 28}

targetPlatform_arch :: Lens' TargetPlatform TargetPlatformArch Source #

Specifies a target platform architecture.

  • X86_64: 64-bit version of the x86 instruction set.
  • X86: 32-bit version of the x86 instruction set.
  • ARM64: ARMv8 64-bit CPU.
  • ARM_EABIHF: ARMv7 32-bit, Hard Float.
  • ARM_EABI: ARMv7 32-bit, Soft Float. Used by Android 32-bit ARM platform.

TensorBoardAppSettings

data TensorBoardAppSettings Source #

The TensorBoard app settings.

See: newTensorBoardAppSettings smart constructor.

Constructors

TensorBoardAppSettings' 

Fields

Instances

Instances details
FromJSON TensorBoardAppSettings Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TensorBoardAppSettings

Methods

parseJSON :: Value -> Parser TensorBoardAppSettings #

parseJSONList :: Value -> Parser [TensorBoardAppSettings] #

ToJSON TensorBoardAppSettings Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TensorBoardAppSettings

Methods

toJSON :: TensorBoardAppSettings -> Value #

toEncoding :: TensorBoardAppSettings -> Encoding #

toJSONList :: [TensorBoardAppSettings] -> Value #

toEncodingList :: [TensorBoardAppSettings] -> Encoding #

Generic TensorBoardAppSettings Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TensorBoardAppSettings

Associated Types

type Rep TensorBoardAppSettings :: Type -> Type #

Methods

from :: TensorBoardAppSettings -> Rep TensorBoardAppSettings x #

to :: Rep TensorBoardAppSettings x -> TensorBoardAppSettings #

Read TensorBoardAppSettings Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TensorBoardAppSettings

Methods

readsPrec :: Int -> ReadS TensorBoardAppSettings #

readList :: ReadS [TensorBoardAppSettings] #

readPrec :: ReadPrec TensorBoardAppSettings #

readListPrec :: ReadPrec [TensorBoardAppSettings] #

Show TensorBoardAppSettings Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TensorBoardAppSettings

Methods

showsPrec :: Int -> TensorBoardAppSettings -> ShowS #

show :: TensorBoardAppSettings -> String #

showList :: [TensorBoardAppSettings] -> ShowS #

NFData TensorBoardAppSettings Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TensorBoardAppSettings

Methods

rnf :: TensorBoardAppSettings -> () #

Eq TensorBoardAppSettings Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TensorBoardAppSettings

Methods

(==) :: TensorBoardAppSettings -> TensorBoardAppSettings -> Bool #

(/=) :: TensorBoardAppSettings -> TensorBoardAppSettings -> Bool #

Hashable TensorBoardAppSettings Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TensorBoardAppSettings

Methods

hashWithSalt :: Int -> TensorBoardAppSettings -> Int #

hash :: TensorBoardAppSettings -> Int #

type Rep TensorBoardAppSettings Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TensorBoardAppSettings

type Rep TensorBoardAppSettings = D1 ('MetaData "TensorBoardAppSettings" "Amazonka.SageMaker.Types.TensorBoardAppSettings" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "TensorBoardAppSettings'" 'PrefixI 'True) (S1 ('MetaSel ('Just "defaultResourceSpec") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ResourceSpec))))

newTensorBoardAppSettings :: TensorBoardAppSettings Source #

Create a value of TensorBoardAppSettings with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:defaultResourceSpec:TensorBoardAppSettings', tensorBoardAppSettings_defaultResourceSpec - The default instance type and the Amazon Resource Name (ARN) of the SageMaker image created on the instance.

tensorBoardAppSettings_defaultResourceSpec :: Lens' TensorBoardAppSettings (Maybe ResourceSpec) Source #

The default instance type and the Amazon Resource Name (ARN) of the SageMaker image created on the instance.

TensorBoardOutputConfig

data TensorBoardOutputConfig Source #

Configuration of storage locations for the Amazon SageMaker Debugger TensorBoard output data.

See: newTensorBoardOutputConfig smart constructor.

Constructors

TensorBoardOutputConfig' 

Fields

  • localPath :: Maybe Text

    Path to local storage location for tensorBoard output. Defaults to /opt/ml/output/tensorboard.

  • s3OutputPath :: Text

    Path to Amazon S3 storage location for TensorBoard output.

Instances

Instances details
FromJSON TensorBoardOutputConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TensorBoardOutputConfig

Methods

parseJSON :: Value -> Parser TensorBoardOutputConfig #

parseJSONList :: Value -> Parser [TensorBoardOutputConfig] #

ToJSON TensorBoardOutputConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TensorBoardOutputConfig

Methods

toJSON :: TensorBoardOutputConfig -> Value #

toEncoding :: TensorBoardOutputConfig -> Encoding #

toJSONList :: [TensorBoardOutputConfig] -> Value #

toEncodingList :: [TensorBoardOutputConfig] -> Encoding #

Generic TensorBoardOutputConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TensorBoardOutputConfig

Associated Types

type Rep TensorBoardOutputConfig :: Type -> Type #

Methods

from :: TensorBoardOutputConfig -> Rep TensorBoardOutputConfig x #

to :: Rep TensorBoardOutputConfig x -> TensorBoardOutputConfig #

Read TensorBoardOutputConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TensorBoardOutputConfig

Methods

readsPrec :: Int -> ReadS TensorBoardOutputConfig #

readList :: ReadS [TensorBoardOutputConfig] #

readPrec :: ReadPrec TensorBoardOutputConfig #

readListPrec :: ReadPrec [TensorBoardOutputConfig] #

Show TensorBoardOutputConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TensorBoardOutputConfig

Methods

showsPrec :: Int -> TensorBoardOutputConfig -> ShowS #

show :: TensorBoardOutputConfig -> String #

showList :: [TensorBoardOutputConfig] -> ShowS #

NFData TensorBoardOutputConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TensorBoardOutputConfig

Methods

rnf :: TensorBoardOutputConfig -> () #

Eq TensorBoardOutputConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TensorBoardOutputConfig

Methods

(==) :: TensorBoardOutputConfig -> TensorBoardOutputConfig -> Bool #

(/=) :: TensorBoardOutputConfig -> TensorBoardOutputConfig -> Bool #

Hashable TensorBoardOutputConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TensorBoardOutputConfig

Methods

hashWithSalt :: Int -> TensorBoardOutputConfig -> Int #

hash :: TensorBoardOutputConfig -> Int #

type Rep TensorBoardOutputConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TensorBoardOutputConfig

type Rep TensorBoardOutputConfig = D1 ('MetaData "TensorBoardOutputConfig" "Amazonka.SageMaker.Types.TensorBoardOutputConfig" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "TensorBoardOutputConfig'" 'PrefixI 'True) (S1 ('MetaSel ('Just "localPath") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "s3OutputPath") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))

newTensorBoardOutputConfig Source #

Arguments

:: Text

$sel:s3OutputPath:TensorBoardOutputConfig'

-> TensorBoardOutputConfig 

Create a value of TensorBoardOutputConfig with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:localPath:TensorBoardOutputConfig', tensorBoardOutputConfig_localPath - Path to local storage location for tensorBoard output. Defaults to /opt/ml/output/tensorboard.

$sel:s3OutputPath:TensorBoardOutputConfig', tensorBoardOutputConfig_s3OutputPath - Path to Amazon S3 storage location for TensorBoard output.

tensorBoardOutputConfig_localPath :: Lens' TensorBoardOutputConfig (Maybe Text) Source #

Path to local storage location for tensorBoard output. Defaults to /opt/ml/output/tensorboard.

tensorBoardOutputConfig_s3OutputPath :: Lens' TensorBoardOutputConfig Text Source #

Path to Amazon S3 storage location for TensorBoard output.

TimeSeriesForecastingSettings

data TimeSeriesForecastingSettings Source #

Time series forecast settings for the SageMaker Canvas app.

See: newTimeSeriesForecastingSettings smart constructor.

Constructors

TimeSeriesForecastingSettings' 

Fields

  • amazonForecastRoleArn :: Maybe Text

    The IAM role that Canvas passes to Amazon Forecast for time series forecasting. By default, Canvas uses the execution role specified in the UserProfile that launches the Canvas app. If an execution role is not specified in the UserProfile, Canvas uses the execution role specified in the Domain that owns the UserProfile. To allow time series forecasting, this IAM role should have the AmazonSageMakerCanvasForecastAccess policy attached and forecast.amazonaws.com added in the trust relationship as a service principal.

  • status :: Maybe FeatureStatus

    Describes whether time series forecasting is enabled or disabled in the Canvas app.

Instances

Instances details
FromJSON TimeSeriesForecastingSettings Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TimeSeriesForecastingSettings

Methods

parseJSON :: Value -> Parser TimeSeriesForecastingSettings #

parseJSONList :: Value -> Parser [TimeSeriesForecastingSettings] #

ToJSON TimeSeriesForecastingSettings Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TimeSeriesForecastingSettings

Methods

toJSON :: TimeSeriesForecastingSettings -> Value #

toEncoding :: TimeSeriesForecastingSettings -> Encoding #

toJSONList :: [TimeSeriesForecastingSettings] -> Value #

toEncodingList :: [TimeSeriesForecastingSettings] -> Encoding #

Generic TimeSeriesForecastingSettings Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TimeSeriesForecastingSettings

Associated Types

type Rep TimeSeriesForecastingSettings :: Type -> Type #

Methods

from :: TimeSeriesForecastingSettings -> Rep TimeSeriesForecastingSettings x #

to :: Rep TimeSeriesForecastingSettings x -> TimeSeriesForecastingSettings #

Read TimeSeriesForecastingSettings Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TimeSeriesForecastingSettings

Methods

readsPrec :: Int -> ReadS TimeSeriesForecastingSettings #

readList :: ReadS [TimeSeriesForecastingSettings] #

readPrec :: ReadPrec TimeSeriesForecastingSettings #

readListPrec :: ReadPrec [TimeSeriesForecastingSettings] #

Show TimeSeriesForecastingSettings Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TimeSeriesForecastingSettings

Methods

showsPrec :: Int -> TimeSeriesForecastingSettings -> ShowS #

show :: TimeSeriesForecastingSettings -> String #

showList :: [TimeSeriesForecastingSettings] -> ShowS #

NFData TimeSeriesForecastingSettings Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TimeSeriesForecastingSettings

Methods

rnf :: TimeSeriesForecastingSettings -> () #

Eq TimeSeriesForecastingSettings Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TimeSeriesForecastingSettings

Methods

(==) :: TimeSeriesForecastingSettings -> TimeSeriesForecastingSettings -> Bool #

(/=) :: TimeSeriesForecastingSettings -> TimeSeriesForecastingSettings -> Bool #

Hashable TimeSeriesForecastingSettings Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TimeSeriesForecastingSettings

Methods

hashWithSalt :: Int -> TimeSeriesForecastingSettings -> Int #

hash :: TimeSeriesForecastingSettings -> Int #

type Rep TimeSeriesForecastingSettings Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TimeSeriesForecastingSettings

type Rep TimeSeriesForecastingSettings = D1 ('MetaData "TimeSeriesForecastingSettings" "Amazonka.SageMaker.Types.TimeSeriesForecastingSettings" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "TimeSeriesForecastingSettings'" 'PrefixI 'True) (S1 ('MetaSel ('Just "amazonForecastRoleArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "status") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe FeatureStatus))))

newTimeSeriesForecastingSettings :: TimeSeriesForecastingSettings Source #

Create a value of TimeSeriesForecastingSettings with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:amazonForecastRoleArn:TimeSeriesForecastingSettings', timeSeriesForecastingSettings_amazonForecastRoleArn - The IAM role that Canvas passes to Amazon Forecast for time series forecasting. By default, Canvas uses the execution role specified in the UserProfile that launches the Canvas app. If an execution role is not specified in the UserProfile, Canvas uses the execution role specified in the Domain that owns the UserProfile. To allow time series forecasting, this IAM role should have the AmazonSageMakerCanvasForecastAccess policy attached and forecast.amazonaws.com added in the trust relationship as a service principal.

$sel:status:TimeSeriesForecastingSettings', timeSeriesForecastingSettings_status - Describes whether time series forecasting is enabled or disabled in the Canvas app.

timeSeriesForecastingSettings_amazonForecastRoleArn :: Lens' TimeSeriesForecastingSettings (Maybe Text) Source #

The IAM role that Canvas passes to Amazon Forecast for time series forecasting. By default, Canvas uses the execution role specified in the UserProfile that launches the Canvas app. If an execution role is not specified in the UserProfile, Canvas uses the execution role specified in the Domain that owns the UserProfile. To allow time series forecasting, this IAM role should have the AmazonSageMakerCanvasForecastAccess policy attached and forecast.amazonaws.com added in the trust relationship as a service principal.

timeSeriesForecastingSettings_status :: Lens' TimeSeriesForecastingSettings (Maybe FeatureStatus) Source #

Describes whether time series forecasting is enabled or disabled in the Canvas app.

TrafficPattern

data TrafficPattern Source #

Defines the traffic pattern of the load test.

See: newTrafficPattern smart constructor.

Constructors

TrafficPattern' 

Fields

Instances

Instances details
FromJSON TrafficPattern Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrafficPattern

Methods

parseJSON :: Value -> Parser TrafficPattern #

parseJSONList :: Value -> Parser [TrafficPattern] #

ToJSON TrafficPattern Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrafficPattern

Methods

toJSON :: TrafficPattern -> Value #

toEncoding :: TrafficPattern -> Encoding #

toJSONList :: [TrafficPattern] -> Value #

toEncodingList :: [TrafficPattern] -> Encoding #

Generic TrafficPattern Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrafficPattern

Associated Types

type Rep TrafficPattern :: Type -> Type #

Methods

from :: TrafficPattern -> Rep TrafficPattern x #

to :: Rep TrafficPattern x -> TrafficPattern #

Read TrafficPattern Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrafficPattern

Methods

readsPrec :: Int -> ReadS TrafficPattern #

readList :: ReadS [TrafficPattern] #

readPrec :: ReadPrec TrafficPattern #

readListPrec :: ReadPrec [TrafficPattern] #

Show TrafficPattern Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrafficPattern

Methods

showsPrec :: Int -> TrafficPattern -> ShowS #

show :: TrafficPattern -> String #

showList :: [TrafficPattern] -> ShowS #

NFData TrafficPattern Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrafficPattern

Methods

rnf :: TrafficPattern -> () #

Eq TrafficPattern Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrafficPattern

Methods

(==) :: TrafficPattern -> TrafficPattern -> Bool #

(/=) :: TrafficPattern -> TrafficPattern -> Bool #

Hashable TrafficPattern Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrafficPattern

Methods

hashWithSalt :: Int -> TrafficPattern -> Int #

hash :: TrafficPattern -> Int #

type Rep TrafficPattern Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrafficPattern

type Rep TrafficPattern = D1 ('MetaData "TrafficPattern" "Amazonka.SageMaker.Types.TrafficPattern" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "TrafficPattern'" 'PrefixI 'True) (S1 ('MetaSel ('Just "phases") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe (NonEmpty Phase))) :*: S1 ('MetaSel ('Just "trafficType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe TrafficType))))

newTrafficPattern :: TrafficPattern Source #

Create a value of TrafficPattern with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:phases:TrafficPattern', trafficPattern_phases - Defines the phases traffic specification.

$sel:trafficType:TrafficPattern', trafficPattern_trafficType - Defines the traffic patterns.

trafficPattern_phases :: Lens' TrafficPattern (Maybe (NonEmpty Phase)) Source #

Defines the phases traffic specification.

trafficPattern_trafficType :: Lens' TrafficPattern (Maybe TrafficType) Source #

Defines the traffic patterns.

TrafficRoutingConfig

data TrafficRoutingConfig Source #

Defines the traffic routing strategy during an endpoint deployment to shift traffic from the old fleet to the new fleet.

See: newTrafficRoutingConfig smart constructor.

Constructors

TrafficRoutingConfig' 

Fields

  • canarySize :: Maybe CapacitySize

    Batch size for the first step to turn on traffic on the new endpoint fleet. Value must be less than or equal to 50% of the variant's total instance count.

  • linearStepSize :: Maybe CapacitySize

    Batch size for each step to turn on traffic on the new endpoint fleet. Value must be 10-50% of the variant's total instance count.

  • type' :: TrafficRoutingConfigType

    Traffic routing strategy type.

    • ALL_AT_ONCE: Endpoint traffic shifts to the new fleet in a single step.
    • CANARY: Endpoint traffic shifts to the new fleet in two steps. The first step is the canary, which is a small portion of the traffic. The second step is the remainder of the traffic.
    • LINEAR: Endpoint traffic shifts to the new fleet in n steps of a configurable size.
  • waitIntervalInSeconds :: Natural

    The waiting time (in seconds) between incremental steps to turn on traffic on the new endpoint fleet.

Instances

Instances details
FromJSON TrafficRoutingConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrafficRoutingConfig

Methods

parseJSON :: Value -> Parser TrafficRoutingConfig #

parseJSONList :: Value -> Parser [TrafficRoutingConfig] #

ToJSON TrafficRoutingConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrafficRoutingConfig

Methods

toJSON :: TrafficRoutingConfig -> Value #

toEncoding :: TrafficRoutingConfig -> Encoding #

toJSONList :: [TrafficRoutingConfig] -> Value #

toEncodingList :: [TrafficRoutingConfig] -> Encoding #

Generic TrafficRoutingConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrafficRoutingConfig

Associated Types

type Rep TrafficRoutingConfig :: Type -> Type #

Methods

from :: TrafficRoutingConfig -> Rep TrafficRoutingConfig x #

to :: Rep TrafficRoutingConfig x -> TrafficRoutingConfig #

Read TrafficRoutingConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrafficRoutingConfig

Methods

readsPrec :: Int -> ReadS TrafficRoutingConfig #

readList :: ReadS [TrafficRoutingConfig] #

readPrec :: ReadPrec TrafficRoutingConfig #

readListPrec :: ReadPrec [TrafficRoutingConfig] #

Show TrafficRoutingConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrafficRoutingConfig

Methods

showsPrec :: Int -> TrafficRoutingConfig -> ShowS #

show :: TrafficRoutingConfig -> String #

showList :: [TrafficRoutingConfig] -> ShowS #

NFData TrafficRoutingConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrafficRoutingConfig

Methods

rnf :: TrafficRoutingConfig -> () #

Eq TrafficRoutingConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrafficRoutingConfig

Methods

(==) :: TrafficRoutingConfig -> TrafficRoutingConfig -> Bool #

(/=) :: TrafficRoutingConfig -> TrafficRoutingConfig -> Bool #

Hashable TrafficRoutingConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrafficRoutingConfig

Methods

hashWithSalt :: Int -> TrafficRoutingConfig -> Int #

hash :: TrafficRoutingConfig -> Int #

type Rep TrafficRoutingConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrafficRoutingConfig

type Rep TrafficRoutingConfig = D1 ('MetaData "TrafficRoutingConfig" "Amazonka.SageMaker.Types.TrafficRoutingConfig" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "TrafficRoutingConfig'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "canarySize") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe CapacitySize)) :*: S1 ('MetaSel ('Just "linearStepSize") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe CapacitySize))) :*: (S1 ('MetaSel ('Just "type'") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 TrafficRoutingConfigType) :*: S1 ('MetaSel ('Just "waitIntervalInSeconds") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Natural))))

newTrafficRoutingConfig Source #

Arguments

:: TrafficRoutingConfigType

TrafficRoutingConfig

-> Natural

$sel:waitIntervalInSeconds:TrafficRoutingConfig'

-> TrafficRoutingConfig 

Create a value of TrafficRoutingConfig with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:canarySize:TrafficRoutingConfig', trafficRoutingConfig_canarySize - Batch size for the first step to turn on traffic on the new endpoint fleet. Value must be less than or equal to 50% of the variant's total instance count.

$sel:linearStepSize:TrafficRoutingConfig', trafficRoutingConfig_linearStepSize - Batch size for each step to turn on traffic on the new endpoint fleet. Value must be 10-50% of the variant's total instance count.

TrafficRoutingConfig, trafficRoutingConfig_type - Traffic routing strategy type.

  • ALL_AT_ONCE: Endpoint traffic shifts to the new fleet in a single step.
  • CANARY: Endpoint traffic shifts to the new fleet in two steps. The first step is the canary, which is a small portion of the traffic. The second step is the remainder of the traffic.
  • LINEAR: Endpoint traffic shifts to the new fleet in n steps of a configurable size.

$sel:waitIntervalInSeconds:TrafficRoutingConfig', trafficRoutingConfig_waitIntervalInSeconds - The waiting time (in seconds) between incremental steps to turn on traffic on the new endpoint fleet.

trafficRoutingConfig_canarySize :: Lens' TrafficRoutingConfig (Maybe CapacitySize) Source #

Batch size for the first step to turn on traffic on the new endpoint fleet. Value must be less than or equal to 50% of the variant's total instance count.

trafficRoutingConfig_linearStepSize :: Lens' TrafficRoutingConfig (Maybe CapacitySize) Source #

Batch size for each step to turn on traffic on the new endpoint fleet. Value must be 10-50% of the variant's total instance count.

trafficRoutingConfig_type :: Lens' TrafficRoutingConfig TrafficRoutingConfigType Source #

Traffic routing strategy type.

  • ALL_AT_ONCE: Endpoint traffic shifts to the new fleet in a single step.
  • CANARY: Endpoint traffic shifts to the new fleet in two steps. The first step is the canary, which is a small portion of the traffic. The second step is the remainder of the traffic.
  • LINEAR: Endpoint traffic shifts to the new fleet in n steps of a configurable size.

trafficRoutingConfig_waitIntervalInSeconds :: Lens' TrafficRoutingConfig Natural Source #

The waiting time (in seconds) between incremental steps to turn on traffic on the new endpoint fleet.

TrainingJob

data TrainingJob Source #

Contains information about a training job.

See: newTrainingJob smart constructor.

Constructors

TrainingJob' 

Fields

  • algorithmSpecification :: Maybe AlgorithmSpecification

    Information about the algorithm used for training, and algorithm metadata.

  • autoMLJobArn :: Maybe Text

    The Amazon Resource Name (ARN) of the job.

  • billableTimeInSeconds :: Maybe Natural

    The billable time in seconds.

  • checkpointConfig :: Maybe CheckpointConfig
     
  • creationTime :: Maybe POSIX

    A timestamp that indicates when the training job was created.

  • debugHookConfig :: Maybe DebugHookConfig
     
  • debugRuleConfigurations :: Maybe [DebugRuleConfiguration]

    Information about the debug rule configuration.

  • debugRuleEvaluationStatuses :: Maybe [DebugRuleEvaluationStatus]

    Information about the evaluation status of the rules for the training job.

  • enableInterContainerTrafficEncryption :: Maybe Bool

    To encrypt all communications between ML compute instances in distributed training, choose True. Encryption provides greater security for distributed training, but training might take longer. How long it takes depends on the amount of communication between compute instances, especially if you use a deep learning algorithm in distributed training.

  • enableManagedSpotTraining :: Maybe Bool

    When true, enables managed spot training using Amazon EC2 Spot instances to run training jobs instead of on-demand instances. For more information, see Managed Spot Training.

  • enableNetworkIsolation :: Maybe Bool

    If the TrainingJob was created with network isolation, the value is set to true. If network isolation is enabled, nodes can't communicate beyond the VPC they run in.

  • environment :: Maybe (HashMap Text Text)

    The environment variables to set in the Docker container.

  • experimentConfig :: Maybe ExperimentConfig
     
  • failureReason :: Maybe Text

    If the training job failed, the reason it failed.

  • finalMetricDataList :: Maybe [MetricData]

    A list of final metric values that are set when the training job completes. Used only if the training job was configured to use metrics.

  • hyperParameters :: Maybe (HashMap Text Text)

    Algorithm-specific parameters.

  • inputDataConfig :: Maybe (NonEmpty Channel)

    An array of Channel objects that describes each data input channel.

  • labelingJobArn :: Maybe Text

    The Amazon Resource Name (ARN) of the labeling job.

  • lastModifiedTime :: Maybe POSIX

    A timestamp that indicates when the status of the training job was last modified.

  • modelArtifacts :: Maybe ModelArtifacts

    Information about the Amazon S3 location that is configured for storing model artifacts.

  • outputDataConfig :: Maybe OutputDataConfig

    The S3 path where model artifacts that you configured when creating the job are stored. SageMaker creates subfolders for model artifacts.

  • resourceConfig :: Maybe ResourceConfig

    Resources, including ML compute instances and ML storage volumes, that are configured for model training.

  • retryStrategy :: Maybe RetryStrategy

    The number of times to retry the job when the job fails due to an InternalServerError.

  • roleArn :: Maybe Text

    The Amazon Web Services Identity and Access Management (IAM) role configured for the training job.

  • secondaryStatus :: Maybe SecondaryStatus

    Provides detailed information about the state of the training job. For detailed information about the secondary status of the training job, see StatusMessage under SecondaryStatusTransition.

    SageMaker provides primary statuses and secondary statuses that apply to each of them:

    InProgress
    - Starting - Starting the training job.
    • Downloading - An optional stage for algorithms that support File training input mode. It indicates that data is being downloaded to the ML storage volumes.
    • Training - Training is in progress.
    • Uploading - Training is complete and the model artifacts are being uploaded to the S3 location.
    Completed
    - Completed - The training job has completed.
    Failed
    - Failed - The training job has failed. The reason for the failure is returned in the FailureReason field of DescribeTrainingJobResponse.
    Stopped
    - MaxRuntimeExceeded - The job stopped because it exceeded the maximum allowed runtime.
    • Stopped - The training job has stopped.
    Stopping
    - Stopping - Stopping the training job.

    Valid values for SecondaryStatus are subject to change.

    We no longer support the following secondary statuses:

    • LaunchingMLInstances
    • PreparingTrainingStack
    • DownloadingTrainingImage
  • secondaryStatusTransitions :: Maybe [SecondaryStatusTransition]

    A history of all of the secondary statuses that the training job has transitioned through.

  • stoppingCondition :: Maybe StoppingCondition

    Specifies a limit to how long a model training job can run. It also specifies how long a managed Spot training job has to complete. When the job reaches the time limit, SageMaker ends the training job. Use this API to cap model training costs.

    To stop a job, SageMaker sends the algorithm the SIGTERM signal, which delays job termination for 120 seconds. Algorithms can use this 120-second window to save the model artifacts, so the results of training are not lost.

  • tags :: Maybe [Tag]

    An array of key-value pairs. You can use tags to categorize your Amazon Web Services resources in different ways, for example, by purpose, owner, or environment. For more information, see Tagging Amazon Web Services Resources.

  • tensorBoardOutputConfig :: Maybe TensorBoardOutputConfig
     
  • trainingEndTime :: Maybe POSIX

    Indicates the time when the training job ends on training instances. You are billed for the time interval between the value of TrainingStartTime and this time. For successful jobs and stopped jobs, this is the time after model artifacts are uploaded. For failed jobs, this is the time when SageMaker detects a job failure.

  • trainingJobArn :: Maybe Text

    The Amazon Resource Name (ARN) of the training job.

  • trainingJobName :: Maybe Text

    The name of the training job.

  • trainingJobStatus :: Maybe TrainingJobStatus

    The status of the training job.

    Training job statuses are:

    • InProgress - The training is in progress.
    • Completed - The training job has completed.
    • Failed - The training job has failed. To see the reason for the failure, see the FailureReason field in the response to a DescribeTrainingJobResponse call.
    • Stopping - The training job is stopping.
    • Stopped - The training job has stopped.

    For more detailed information, see SecondaryStatus.

  • trainingStartTime :: Maybe POSIX

    Indicates the time when the training job starts on training instances. You are billed for the time interval between this time and the value of TrainingEndTime. The start time in CloudWatch Logs might be later than this time. The difference is due to the time it takes to download the training data and to the size of the training container.

  • trainingTimeInSeconds :: Maybe Natural

    The training time in seconds.

  • tuningJobArn :: Maybe Text

    The Amazon Resource Name (ARN) of the associated hyperparameter tuning job if the training job was launched by a hyperparameter tuning job.

  • vpcConfig :: Maybe VpcConfig

    A VpcConfig object that specifies the VPC that this training job has access to. For more information, see Protect Training Jobs by Using an Amazon Virtual Private Cloud.

Instances

Instances details
FromJSON TrainingJob Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrainingJob

Methods

parseJSON :: Value -> Parser TrainingJob #

parseJSONList :: Value -> Parser [TrainingJob] #

Generic TrainingJob Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrainingJob

Associated Types

type Rep TrainingJob :: Type -> Type #

Methods

from :: TrainingJob -> Rep TrainingJob x #

to :: Rep TrainingJob x -> TrainingJob #

Read TrainingJob Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrainingJob

Methods

readsPrec :: Int -> ReadS TrainingJob #

readList :: ReadS [TrainingJob] #

readPrec :: ReadPrec TrainingJob #

readListPrec :: ReadPrec [TrainingJob] #

Show TrainingJob Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrainingJob

Methods

showsPrec :: Int -> TrainingJob -> ShowS #

show :: TrainingJob -> String #

showList :: [TrainingJob] -> ShowS #

NFData TrainingJob Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrainingJob

Methods

rnf :: TrainingJob -> () #

Eq TrainingJob Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrainingJob

Methods

(==) :: TrainingJob -> TrainingJob -> Bool #

(/=) :: TrainingJob -> TrainingJob -> Bool #

Hashable TrainingJob Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrainingJob

Methods

hashWithSalt :: Int -> TrainingJob -> Int #

hash :: TrainingJob -> Int #

type Rep TrainingJob Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrainingJob

type Rep TrainingJob = D1 ('MetaData "TrainingJob" "Amazonka.SageMaker.Types.TrainingJob" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "TrainingJob'" 'PrefixI 'True) (((((S1 ('MetaSel ('Just "algorithmSpecification") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe AlgorithmSpecification)) :*: S1 ('MetaSel ('Just "autoMLJobArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))) :*: (S1 ('MetaSel ('Just "billableTimeInSeconds") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural)) :*: S1 ('MetaSel ('Just "checkpointConfig") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe CheckpointConfig)))) :*: ((S1 ('MetaSel ('Just "creationTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :*: S1 ('MetaSel ('Just "debugHookConfig") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe DebugHookConfig))) :*: (S1 ('MetaSel ('Just "debugRuleConfigurations") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [DebugRuleConfiguration])) :*: (S1 ('MetaSel ('Just "debugRuleEvaluationStatuses") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [DebugRuleEvaluationStatus])) :*: S1 ('MetaSel ('Just "enableInterContainerTrafficEncryption") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Bool)))))) :*: (((S1 ('MetaSel ('Just "enableManagedSpotTraining") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Bool)) :*: S1 ('MetaSel ('Just "enableNetworkIsolation") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Bool))) :*: (S1 ('MetaSel ('Just "environment") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe (HashMap Text Text))) :*: S1 ('MetaSel ('Just "experimentConfig") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ExperimentConfig)))) :*: ((S1 ('MetaSel ('Just "failureReason") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "finalMetricDataList") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [MetricData]))) :*: (S1 ('MetaSel ('Just "hyperParameters") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe (HashMap Text Text))) :*: (S1 ('MetaSel ('Just "inputDataConfig") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe (NonEmpty Channel))) :*: S1 ('MetaSel ('Just "labelingJobArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))))) :*: ((((S1 ('MetaSel ('Just "lastModifiedTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :*: S1 ('MetaSel ('Just "modelArtifacts") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ModelArtifacts))) :*: (S1 ('MetaSel ('Just "outputDataConfig") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe OutputDataConfig)) :*: S1 ('MetaSel ('Just "resourceConfig") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ResourceConfig)))) :*: ((S1 ('MetaSel ('Just "retryStrategy") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe RetryStrategy)) :*: S1 ('MetaSel ('Just "roleArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))) :*: (S1 ('MetaSel ('Just "secondaryStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe SecondaryStatus)) :*: (S1 ('MetaSel ('Just "secondaryStatusTransitions") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [SecondaryStatusTransition])) :*: S1 ('MetaSel ('Just "stoppingCondition") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe StoppingCondition)))))) :*: (((S1 ('MetaSel ('Just "tags") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [Tag])) :*: S1 ('MetaSel ('Just "tensorBoardOutputConfig") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe TensorBoardOutputConfig))) :*: (S1 ('MetaSel ('Just "trainingEndTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :*: (S1 ('MetaSel ('Just "trainingJobArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "trainingJobName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))) :*: ((S1 ('MetaSel ('Just "trainingJobStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe TrainingJobStatus)) :*: S1 ('MetaSel ('Just "trainingStartTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX))) :*: (S1 ('MetaSel ('Just "trainingTimeInSeconds") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural)) :*: (S1 ('MetaSel ('Just "tuningJobArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "vpcConfig") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe VpcConfig)))))))))

newTrainingJob :: TrainingJob Source #

Create a value of TrainingJob with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:algorithmSpecification:TrainingJob', trainingJob_algorithmSpecification - Information about the algorithm used for training, and algorithm metadata.

$sel:autoMLJobArn:TrainingJob', trainingJob_autoMLJobArn - The Amazon Resource Name (ARN) of the job.

$sel:billableTimeInSeconds:TrainingJob', trainingJob_billableTimeInSeconds - The billable time in seconds.

$sel:checkpointConfig:TrainingJob', trainingJob_checkpointConfig - Undocumented member.

$sel:creationTime:TrainingJob', trainingJob_creationTime - A timestamp that indicates when the training job was created.

$sel:debugHookConfig:TrainingJob', trainingJob_debugHookConfig - Undocumented member.

$sel:debugRuleConfigurations:TrainingJob', trainingJob_debugRuleConfigurations - Information about the debug rule configuration.

$sel:debugRuleEvaluationStatuses:TrainingJob', trainingJob_debugRuleEvaluationStatuses - Information about the evaluation status of the rules for the training job.

$sel:enableInterContainerTrafficEncryption:TrainingJob', trainingJob_enableInterContainerTrafficEncryption - To encrypt all communications between ML compute instances in distributed training, choose True. Encryption provides greater security for distributed training, but training might take longer. How long it takes depends on the amount of communication between compute instances, especially if you use a deep learning algorithm in distributed training.

$sel:enableManagedSpotTraining:TrainingJob', trainingJob_enableManagedSpotTraining - When true, enables managed spot training using Amazon EC2 Spot instances to run training jobs instead of on-demand instances. For more information, see Managed Spot Training.

$sel:enableNetworkIsolation:TrainingJob', trainingJob_enableNetworkIsolation - If the TrainingJob was created with network isolation, the value is set to true. If network isolation is enabled, nodes can't communicate beyond the VPC they run in.

$sel:environment:TrainingJob', trainingJob_environment - The environment variables to set in the Docker container.

$sel:experimentConfig:TrainingJob', trainingJob_experimentConfig - Undocumented member.

$sel:failureReason:TrainingJob', trainingJob_failureReason - If the training job failed, the reason it failed.

$sel:finalMetricDataList:TrainingJob', trainingJob_finalMetricDataList - A list of final metric values that are set when the training job completes. Used only if the training job was configured to use metrics.

$sel:hyperParameters:TrainingJob', trainingJob_hyperParameters - Algorithm-specific parameters.

$sel:inputDataConfig:TrainingJob', trainingJob_inputDataConfig - An array of Channel objects that describes each data input channel.

$sel:labelingJobArn:TrainingJob', trainingJob_labelingJobArn - The Amazon Resource Name (ARN) of the labeling job.

TrainingJob, trainingJob_lastModifiedTime - A timestamp that indicates when the status of the training job was last modified.

$sel:modelArtifacts:TrainingJob', trainingJob_modelArtifacts - Information about the Amazon S3 location that is configured for storing model artifacts.

$sel:outputDataConfig:TrainingJob', trainingJob_outputDataConfig - The S3 path where model artifacts that you configured when creating the job are stored. SageMaker creates subfolders for model artifacts.

$sel:resourceConfig:TrainingJob', trainingJob_resourceConfig - Resources, including ML compute instances and ML storage volumes, that are configured for model training.

$sel:retryStrategy:TrainingJob', trainingJob_retryStrategy - The number of times to retry the job when the job fails due to an InternalServerError.

$sel:roleArn:TrainingJob', trainingJob_roleArn - The Amazon Web Services Identity and Access Management (IAM) role configured for the training job.

$sel:secondaryStatus:TrainingJob', trainingJob_secondaryStatus - Provides detailed information about the state of the training job. For detailed information about the secondary status of the training job, see StatusMessage under SecondaryStatusTransition.

SageMaker provides primary statuses and secondary statuses that apply to each of them:

InProgress
- Starting - Starting the training job.
  • Downloading - An optional stage for algorithms that support File training input mode. It indicates that data is being downloaded to the ML storage volumes.
  • Training - Training is in progress.
  • Uploading - Training is complete and the model artifacts are being uploaded to the S3 location.
Completed
- Completed - The training job has completed.
Failed
- Failed - The training job has failed. The reason for the failure is returned in the FailureReason field of DescribeTrainingJobResponse.
Stopped
- MaxRuntimeExceeded - The job stopped because it exceeded the maximum allowed runtime.
  • Stopped - The training job has stopped.
Stopping
- Stopping - Stopping the training job.

Valid values for SecondaryStatus are subject to change.

We no longer support the following secondary statuses:

  • LaunchingMLInstances
  • PreparingTrainingStack
  • DownloadingTrainingImage

$sel:secondaryStatusTransitions:TrainingJob', trainingJob_secondaryStatusTransitions - A history of all of the secondary statuses that the training job has transitioned through.

$sel:stoppingCondition:TrainingJob', trainingJob_stoppingCondition - Specifies a limit to how long a model training job can run. It also specifies how long a managed Spot training job has to complete. When the job reaches the time limit, SageMaker ends the training job. Use this API to cap model training costs.

To stop a job, SageMaker sends the algorithm the SIGTERM signal, which delays job termination for 120 seconds. Algorithms can use this 120-second window to save the model artifacts, so the results of training are not lost.

$sel:tags:TrainingJob', trainingJob_tags - An array of key-value pairs. You can use tags to categorize your Amazon Web Services resources in different ways, for example, by purpose, owner, or environment. For more information, see Tagging Amazon Web Services Resources.

$sel:tensorBoardOutputConfig:TrainingJob', trainingJob_tensorBoardOutputConfig - Undocumented member.

$sel:trainingEndTime:TrainingJob', trainingJob_trainingEndTime - Indicates the time when the training job ends on training instances. You are billed for the time interval between the value of TrainingStartTime and this time. For successful jobs and stopped jobs, this is the time after model artifacts are uploaded. For failed jobs, this is the time when SageMaker detects a job failure.

$sel:trainingJobArn:TrainingJob', trainingJob_trainingJobArn - The Amazon Resource Name (ARN) of the training job.

$sel:trainingJobName:TrainingJob', trainingJob_trainingJobName - The name of the training job.

$sel:trainingJobStatus:TrainingJob', trainingJob_trainingJobStatus - The status of the training job.

Training job statuses are:

  • InProgress - The training is in progress.
  • Completed - The training job has completed.
  • Failed - The training job has failed. To see the reason for the failure, see the FailureReason field in the response to a DescribeTrainingJobResponse call.
  • Stopping - The training job is stopping.
  • Stopped - The training job has stopped.

For more detailed information, see SecondaryStatus.

$sel:trainingStartTime:TrainingJob', trainingJob_trainingStartTime - Indicates the time when the training job starts on training instances. You are billed for the time interval between this time and the value of TrainingEndTime. The start time in CloudWatch Logs might be later than this time. The difference is due to the time it takes to download the training data and to the size of the training container.

$sel:trainingTimeInSeconds:TrainingJob', trainingJob_trainingTimeInSeconds - The training time in seconds.

$sel:tuningJobArn:TrainingJob', trainingJob_tuningJobArn - The Amazon Resource Name (ARN) of the associated hyperparameter tuning job if the training job was launched by a hyperparameter tuning job.

$sel:vpcConfig:TrainingJob', trainingJob_vpcConfig - A VpcConfig object that specifies the VPC that this training job has access to. For more information, see Protect Training Jobs by Using an Amazon Virtual Private Cloud.

trainingJob_algorithmSpecification :: Lens' TrainingJob (Maybe AlgorithmSpecification) Source #

Information about the algorithm used for training, and algorithm metadata.

trainingJob_autoMLJobArn :: Lens' TrainingJob (Maybe Text) Source #

The Amazon Resource Name (ARN) of the job.

trainingJob_billableTimeInSeconds :: Lens' TrainingJob (Maybe Natural) Source #

The billable time in seconds.

trainingJob_checkpointConfig :: Lens' TrainingJob (Maybe CheckpointConfig) Source #

Undocumented member.

trainingJob_creationTime :: Lens' TrainingJob (Maybe UTCTime) Source #

A timestamp that indicates when the training job was created.

trainingJob_debugHookConfig :: Lens' TrainingJob (Maybe DebugHookConfig) Source #

Undocumented member.

trainingJob_debugRuleConfigurations :: Lens' TrainingJob (Maybe [DebugRuleConfiguration]) Source #

Information about the debug rule configuration.

trainingJob_debugRuleEvaluationStatuses :: Lens' TrainingJob (Maybe [DebugRuleEvaluationStatus]) Source #

Information about the evaluation status of the rules for the training job.

trainingJob_enableInterContainerTrafficEncryption :: Lens' TrainingJob (Maybe Bool) Source #

To encrypt all communications between ML compute instances in distributed training, choose True. Encryption provides greater security for distributed training, but training might take longer. How long it takes depends on the amount of communication between compute instances, especially if you use a deep learning algorithm in distributed training.

trainingJob_enableManagedSpotTraining :: Lens' TrainingJob (Maybe Bool) Source #

When true, enables managed spot training using Amazon EC2 Spot instances to run training jobs instead of on-demand instances. For more information, see Managed Spot Training.

trainingJob_enableNetworkIsolation :: Lens' TrainingJob (Maybe Bool) Source #

If the TrainingJob was created with network isolation, the value is set to true. If network isolation is enabled, nodes can't communicate beyond the VPC they run in.

trainingJob_environment :: Lens' TrainingJob (Maybe (HashMap Text Text)) Source #

The environment variables to set in the Docker container.

trainingJob_experimentConfig :: Lens' TrainingJob (Maybe ExperimentConfig) Source #

Undocumented member.

trainingJob_failureReason :: Lens' TrainingJob (Maybe Text) Source #

If the training job failed, the reason it failed.

trainingJob_finalMetricDataList :: Lens' TrainingJob (Maybe [MetricData]) Source #

A list of final metric values that are set when the training job completes. Used only if the training job was configured to use metrics.

trainingJob_hyperParameters :: Lens' TrainingJob (Maybe (HashMap Text Text)) Source #

Algorithm-specific parameters.

trainingJob_inputDataConfig :: Lens' TrainingJob (Maybe (NonEmpty Channel)) Source #

An array of Channel objects that describes each data input channel.

trainingJob_labelingJobArn :: Lens' TrainingJob (Maybe Text) Source #

The Amazon Resource Name (ARN) of the labeling job.

trainingJob_lastModifiedTime :: Lens' TrainingJob (Maybe UTCTime) Source #

A timestamp that indicates when the status of the training job was last modified.

trainingJob_modelArtifacts :: Lens' TrainingJob (Maybe ModelArtifacts) Source #

Information about the Amazon S3 location that is configured for storing model artifacts.

trainingJob_outputDataConfig :: Lens' TrainingJob (Maybe OutputDataConfig) Source #

The S3 path where model artifacts that you configured when creating the job are stored. SageMaker creates subfolders for model artifacts.

trainingJob_resourceConfig :: Lens' TrainingJob (Maybe ResourceConfig) Source #

Resources, including ML compute instances and ML storage volumes, that are configured for model training.

trainingJob_retryStrategy :: Lens' TrainingJob (Maybe RetryStrategy) Source #

The number of times to retry the job when the job fails due to an InternalServerError.

trainingJob_roleArn :: Lens' TrainingJob (Maybe Text) Source #

The Amazon Web Services Identity and Access Management (IAM) role configured for the training job.

trainingJob_secondaryStatus :: Lens' TrainingJob (Maybe SecondaryStatus) Source #

Provides detailed information about the state of the training job. For detailed information about the secondary status of the training job, see StatusMessage under SecondaryStatusTransition.

SageMaker provides primary statuses and secondary statuses that apply to each of them:

InProgress
- Starting - Starting the training job.
  • Downloading - An optional stage for algorithms that support File training input mode. It indicates that data is being downloaded to the ML storage volumes.
  • Training - Training is in progress.
  • Uploading - Training is complete and the model artifacts are being uploaded to the S3 location.
Completed
- Completed - The training job has completed.
Failed
- Failed - The training job has failed. The reason for the failure is returned in the FailureReason field of DescribeTrainingJobResponse.
Stopped
- MaxRuntimeExceeded - The job stopped because it exceeded the maximum allowed runtime.
  • Stopped - The training job has stopped.
Stopping
- Stopping - Stopping the training job.

Valid values for SecondaryStatus are subject to change.

We no longer support the following secondary statuses:

  • LaunchingMLInstances
  • PreparingTrainingStack
  • DownloadingTrainingImage

trainingJob_secondaryStatusTransitions :: Lens' TrainingJob (Maybe [SecondaryStatusTransition]) Source #

A history of all of the secondary statuses that the training job has transitioned through.

trainingJob_stoppingCondition :: Lens' TrainingJob (Maybe StoppingCondition) Source #

Specifies a limit to how long a model training job can run. It also specifies how long a managed Spot training job has to complete. When the job reaches the time limit, SageMaker ends the training job. Use this API to cap model training costs.

To stop a job, SageMaker sends the algorithm the SIGTERM signal, which delays job termination for 120 seconds. Algorithms can use this 120-second window to save the model artifacts, so the results of training are not lost.

trainingJob_tags :: Lens' TrainingJob (Maybe [Tag]) Source #

An array of key-value pairs. You can use tags to categorize your Amazon Web Services resources in different ways, for example, by purpose, owner, or environment. For more information, see Tagging Amazon Web Services Resources.

trainingJob_tensorBoardOutputConfig :: Lens' TrainingJob (Maybe TensorBoardOutputConfig) Source #

Undocumented member.

trainingJob_trainingEndTime :: Lens' TrainingJob (Maybe UTCTime) Source #

Indicates the time when the training job ends on training instances. You are billed for the time interval between the value of TrainingStartTime and this time. For successful jobs and stopped jobs, this is the time after model artifacts are uploaded. For failed jobs, this is the time when SageMaker detects a job failure.

trainingJob_trainingJobArn :: Lens' TrainingJob (Maybe Text) Source #

The Amazon Resource Name (ARN) of the training job.

trainingJob_trainingJobName :: Lens' TrainingJob (Maybe Text) Source #

The name of the training job.

trainingJob_trainingJobStatus :: Lens' TrainingJob (Maybe TrainingJobStatus) Source #

The status of the training job.

Training job statuses are:

  • InProgress - The training is in progress.
  • Completed - The training job has completed.
  • Failed - The training job has failed. To see the reason for the failure, see the FailureReason field in the response to a DescribeTrainingJobResponse call.
  • Stopping - The training job is stopping.
  • Stopped - The training job has stopped.

For more detailed information, see SecondaryStatus.

trainingJob_trainingStartTime :: Lens' TrainingJob (Maybe UTCTime) Source #

Indicates the time when the training job starts on training instances. You are billed for the time interval between this time and the value of TrainingEndTime. The start time in CloudWatch Logs might be later than this time. The difference is due to the time it takes to download the training data and to the size of the training container.

trainingJob_trainingTimeInSeconds :: Lens' TrainingJob (Maybe Natural) Source #

The training time in seconds.

trainingJob_tuningJobArn :: Lens' TrainingJob (Maybe Text) Source #

The Amazon Resource Name (ARN) of the associated hyperparameter tuning job if the training job was launched by a hyperparameter tuning job.

trainingJob_vpcConfig :: Lens' TrainingJob (Maybe VpcConfig) Source #

A VpcConfig object that specifies the VPC that this training job has access to. For more information, see Protect Training Jobs by Using an Amazon Virtual Private Cloud.

TrainingJobDefinition

data TrainingJobDefinition Source #

Defines the input needed to run a training job using the algorithm.

See: newTrainingJobDefinition smart constructor.

Constructors

TrainingJobDefinition' 

Fields

  • hyperParameters :: Maybe (HashMap Text Text)

    The hyperparameters used for the training job.

  • trainingInputMode :: TrainingInputMode
     
  • inputDataConfig :: NonEmpty Channel

    An array of Channel objects, each of which specifies an input source.

  • outputDataConfig :: OutputDataConfig

    the path to the S3 bucket where you want to store model artifacts. SageMaker creates subfolders for the artifacts.

  • resourceConfig :: ResourceConfig

    The resources, including the ML compute instances and ML storage volumes, to use for model training.

  • stoppingCondition :: StoppingCondition

    Specifies a limit to how long a model training job can run. It also specifies how long a managed Spot training job has to complete. When the job reaches the time limit, SageMaker ends the training job. Use this API to cap model training costs.

    To stop a job, SageMaker sends the algorithm the SIGTERM signal, which delays job termination for 120 seconds. Algorithms can use this 120-second window to save the model artifacts.

Instances

Instances details
FromJSON TrainingJobDefinition Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrainingJobDefinition

Methods

parseJSON :: Value -> Parser TrainingJobDefinition #

parseJSONList :: Value -> Parser [TrainingJobDefinition] #

ToJSON TrainingJobDefinition Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrainingJobDefinition

Methods

toJSON :: TrainingJobDefinition -> Value #

toEncoding :: TrainingJobDefinition -> Encoding #

toJSONList :: [TrainingJobDefinition] -> Value #

toEncodingList :: [TrainingJobDefinition] -> Encoding #

Generic TrainingJobDefinition Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrainingJobDefinition

Associated Types

type Rep TrainingJobDefinition :: Type -> Type #

Methods

from :: TrainingJobDefinition -> Rep TrainingJobDefinition x #

to :: Rep TrainingJobDefinition x -> TrainingJobDefinition #

Read TrainingJobDefinition Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrainingJobDefinition

Methods

readsPrec :: Int -> ReadS TrainingJobDefinition #

readList :: ReadS [TrainingJobDefinition] #

readPrec :: ReadPrec TrainingJobDefinition #

readListPrec :: ReadPrec [TrainingJobDefinition] #

Show TrainingJobDefinition Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrainingJobDefinition

Methods

showsPrec :: Int -> TrainingJobDefinition -> ShowS #

show :: TrainingJobDefinition -> String #

showList :: [TrainingJobDefinition] -> ShowS #

NFData TrainingJobDefinition Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrainingJobDefinition

Methods

rnf :: TrainingJobDefinition -> () #

Eq TrainingJobDefinition Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrainingJobDefinition

Methods

(==) :: TrainingJobDefinition -> TrainingJobDefinition -> Bool #

(/=) :: TrainingJobDefinition -> TrainingJobDefinition -> Bool #

Hashable TrainingJobDefinition Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrainingJobDefinition

Methods

hashWithSalt :: Int -> TrainingJobDefinition -> Int #

hash :: TrainingJobDefinition -> Int #

type Rep TrainingJobDefinition Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrainingJobDefinition

type Rep TrainingJobDefinition = D1 ('MetaData "TrainingJobDefinition" "Amazonka.SageMaker.Types.TrainingJobDefinition" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "TrainingJobDefinition'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "hyperParameters") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe (HashMap Text Text))) :*: (S1 ('MetaSel ('Just "trainingInputMode") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 TrainingInputMode) :*: S1 ('MetaSel ('Just "inputDataConfig") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (NonEmpty Channel)))) :*: (S1 ('MetaSel ('Just "outputDataConfig") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 OutputDataConfig) :*: (S1 ('MetaSel ('Just "resourceConfig") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 ResourceConfig) :*: S1 ('MetaSel ('Just "stoppingCondition") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 StoppingCondition)))))

newTrainingJobDefinition Source #

Arguments

:: TrainingInputMode

$sel:trainingInputMode:TrainingJobDefinition'

-> NonEmpty Channel

$sel:inputDataConfig:TrainingJobDefinition'

-> OutputDataConfig

$sel:outputDataConfig:TrainingJobDefinition'

-> ResourceConfig

$sel:resourceConfig:TrainingJobDefinition'

-> StoppingCondition

$sel:stoppingCondition:TrainingJobDefinition'

-> TrainingJobDefinition 

Create a value of TrainingJobDefinition with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:hyperParameters:TrainingJobDefinition', trainingJobDefinition_hyperParameters - The hyperparameters used for the training job.

$sel:trainingInputMode:TrainingJobDefinition', trainingJobDefinition_trainingInputMode - Undocumented member.

$sel:inputDataConfig:TrainingJobDefinition', trainingJobDefinition_inputDataConfig - An array of Channel objects, each of which specifies an input source.

$sel:outputDataConfig:TrainingJobDefinition', trainingJobDefinition_outputDataConfig - the path to the S3 bucket where you want to store model artifacts. SageMaker creates subfolders for the artifacts.

$sel:resourceConfig:TrainingJobDefinition', trainingJobDefinition_resourceConfig - The resources, including the ML compute instances and ML storage volumes, to use for model training.

$sel:stoppingCondition:TrainingJobDefinition', trainingJobDefinition_stoppingCondition - Specifies a limit to how long a model training job can run. It also specifies how long a managed Spot training job has to complete. When the job reaches the time limit, SageMaker ends the training job. Use this API to cap model training costs.

To stop a job, SageMaker sends the algorithm the SIGTERM signal, which delays job termination for 120 seconds. Algorithms can use this 120-second window to save the model artifacts.

trainingJobDefinition_hyperParameters :: Lens' TrainingJobDefinition (Maybe (HashMap Text Text)) Source #

The hyperparameters used for the training job.

trainingJobDefinition_trainingInputMode :: Lens' TrainingJobDefinition TrainingInputMode Source #

Undocumented member.

trainingJobDefinition_inputDataConfig :: Lens' TrainingJobDefinition (NonEmpty Channel) Source #

An array of Channel objects, each of which specifies an input source.

trainingJobDefinition_outputDataConfig :: Lens' TrainingJobDefinition OutputDataConfig Source #

the path to the S3 bucket where you want to store model artifacts. SageMaker creates subfolders for the artifacts.

trainingJobDefinition_resourceConfig :: Lens' TrainingJobDefinition ResourceConfig Source #

The resources, including the ML compute instances and ML storage volumes, to use for model training.

trainingJobDefinition_stoppingCondition :: Lens' TrainingJobDefinition StoppingCondition Source #

Specifies a limit to how long a model training job can run. It also specifies how long a managed Spot training job has to complete. When the job reaches the time limit, SageMaker ends the training job. Use this API to cap model training costs.

To stop a job, SageMaker sends the algorithm the SIGTERM signal, which delays job termination for 120 seconds. Algorithms can use this 120-second window to save the model artifacts.

TrainingJobStatusCounters

data TrainingJobStatusCounters Source #

The numbers of training jobs launched by a hyperparameter tuning job, categorized by status.

See: newTrainingJobStatusCounters smart constructor.

Constructors

TrainingJobStatusCounters' 

Fields

  • completed :: Maybe Natural

    The number of completed training jobs launched by the hyperparameter tuning job.

  • inProgress :: Maybe Natural

    The number of in-progress training jobs launched by a hyperparameter tuning job.

  • nonRetryableError :: Maybe Natural

    The number of training jobs that failed and can't be retried. A failed training job can't be retried if it failed because a client error occurred.

  • retryableError :: Maybe Natural

    The number of training jobs that failed, but can be retried. A failed training job can be retried only if it failed because an internal service error occurred.

  • stopped :: Maybe Natural

    The number of training jobs launched by a hyperparameter tuning job that were manually stopped.

Instances

Instances details
FromJSON TrainingJobStatusCounters Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrainingJobStatusCounters

Methods

parseJSON :: Value -> Parser TrainingJobStatusCounters #

parseJSONList :: Value -> Parser [TrainingJobStatusCounters] #

Generic TrainingJobStatusCounters Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrainingJobStatusCounters

Associated Types

type Rep TrainingJobStatusCounters :: Type -> Type #

Methods

from :: TrainingJobStatusCounters -> Rep TrainingJobStatusCounters x #

to :: Rep TrainingJobStatusCounters x -> TrainingJobStatusCounters #

Read TrainingJobStatusCounters Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrainingJobStatusCounters

Methods

readsPrec :: Int -> ReadS TrainingJobStatusCounters #

readList :: ReadS [TrainingJobStatusCounters] #

readPrec :: ReadPrec TrainingJobStatusCounters #

readListPrec :: ReadPrec [TrainingJobStatusCounters] #

Show TrainingJobStatusCounters Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrainingJobStatusCounters

Methods

showsPrec :: Int -> TrainingJobStatusCounters -> ShowS #

show :: TrainingJobStatusCounters -> String #

showList :: [TrainingJobStatusCounters] -> ShowS #

NFData TrainingJobStatusCounters Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrainingJobStatusCounters

Methods

rnf :: TrainingJobStatusCounters -> () #

Eq TrainingJobStatusCounters Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrainingJobStatusCounters

Methods

(==) :: TrainingJobStatusCounters -> TrainingJobStatusCounters -> Bool #

(/=) :: TrainingJobStatusCounters -> TrainingJobStatusCounters -> Bool #

Hashable TrainingJobStatusCounters Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrainingJobStatusCounters

Methods

hashWithSalt :: Int -> TrainingJobStatusCounters -> Int #

hash :: TrainingJobStatusCounters -> Int #

type Rep TrainingJobStatusCounters Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrainingJobStatusCounters

type Rep TrainingJobStatusCounters = D1 ('MetaData "TrainingJobStatusCounters" "Amazonka.SageMaker.Types.TrainingJobStatusCounters" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "TrainingJobStatusCounters'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "completed") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural)) :*: S1 ('MetaSel ('Just "inProgress") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural))) :*: (S1 ('MetaSel ('Just "nonRetryableError") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural)) :*: (S1 ('MetaSel ('Just "retryableError") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural)) :*: S1 ('MetaSel ('Just "stopped") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural))))))

newTrainingJobStatusCounters :: TrainingJobStatusCounters Source #

Create a value of TrainingJobStatusCounters with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:completed:TrainingJobStatusCounters', trainingJobStatusCounters_completed - The number of completed training jobs launched by the hyperparameter tuning job.

$sel:inProgress:TrainingJobStatusCounters', trainingJobStatusCounters_inProgress - The number of in-progress training jobs launched by a hyperparameter tuning job.

$sel:nonRetryableError:TrainingJobStatusCounters', trainingJobStatusCounters_nonRetryableError - The number of training jobs that failed and can't be retried. A failed training job can't be retried if it failed because a client error occurred.

$sel:retryableError:TrainingJobStatusCounters', trainingJobStatusCounters_retryableError - The number of training jobs that failed, but can be retried. A failed training job can be retried only if it failed because an internal service error occurred.

$sel:stopped:TrainingJobStatusCounters', trainingJobStatusCounters_stopped - The number of training jobs launched by a hyperparameter tuning job that were manually stopped.

trainingJobStatusCounters_completed :: Lens' TrainingJobStatusCounters (Maybe Natural) Source #

The number of completed training jobs launched by the hyperparameter tuning job.

trainingJobStatusCounters_inProgress :: Lens' TrainingJobStatusCounters (Maybe Natural) Source #

The number of in-progress training jobs launched by a hyperparameter tuning job.

trainingJobStatusCounters_nonRetryableError :: Lens' TrainingJobStatusCounters (Maybe Natural) Source #

The number of training jobs that failed and can't be retried. A failed training job can't be retried if it failed because a client error occurred.

trainingJobStatusCounters_retryableError :: Lens' TrainingJobStatusCounters (Maybe Natural) Source #

The number of training jobs that failed, but can be retried. A failed training job can be retried only if it failed because an internal service error occurred.

trainingJobStatusCounters_stopped :: Lens' TrainingJobStatusCounters (Maybe Natural) Source #

The number of training jobs launched by a hyperparameter tuning job that were manually stopped.

TrainingJobStepMetadata

data TrainingJobStepMetadata Source #

Metadata for a training job step.

See: newTrainingJobStepMetadata smart constructor.

Constructors

TrainingJobStepMetadata' 

Fields

  • arn :: Maybe Text

    The Amazon Resource Name (ARN) of the training job that was run by this step execution.

Instances

Instances details
FromJSON TrainingJobStepMetadata Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrainingJobStepMetadata

Methods

parseJSON :: Value -> Parser TrainingJobStepMetadata #

parseJSONList :: Value -> Parser [TrainingJobStepMetadata] #

Generic TrainingJobStepMetadata Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrainingJobStepMetadata

Associated Types

type Rep TrainingJobStepMetadata :: Type -> Type #

Methods

from :: TrainingJobStepMetadata -> Rep TrainingJobStepMetadata x #

to :: Rep TrainingJobStepMetadata x -> TrainingJobStepMetadata #

Read TrainingJobStepMetadata Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrainingJobStepMetadata

Methods

readsPrec :: Int -> ReadS TrainingJobStepMetadata #

readList :: ReadS [TrainingJobStepMetadata] #

readPrec :: ReadPrec TrainingJobStepMetadata #

readListPrec :: ReadPrec [TrainingJobStepMetadata] #

Show TrainingJobStepMetadata Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrainingJobStepMetadata

Methods

showsPrec :: Int -> TrainingJobStepMetadata -> ShowS #

show :: TrainingJobStepMetadata -> String #

showList :: [TrainingJobStepMetadata] -> ShowS #

NFData TrainingJobStepMetadata Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrainingJobStepMetadata

Methods

rnf :: TrainingJobStepMetadata -> () #

Eq TrainingJobStepMetadata Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrainingJobStepMetadata

Methods

(==) :: TrainingJobStepMetadata -> TrainingJobStepMetadata -> Bool #

(/=) :: TrainingJobStepMetadata -> TrainingJobStepMetadata -> Bool #

Hashable TrainingJobStepMetadata Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrainingJobStepMetadata

Methods

hashWithSalt :: Int -> TrainingJobStepMetadata -> Int #

hash :: TrainingJobStepMetadata -> Int #

type Rep TrainingJobStepMetadata Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrainingJobStepMetadata

type Rep TrainingJobStepMetadata = D1 ('MetaData "TrainingJobStepMetadata" "Amazonka.SageMaker.Types.TrainingJobStepMetadata" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "TrainingJobStepMetadata'" 'PrefixI 'True) (S1 ('MetaSel ('Just "arn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))

newTrainingJobStepMetadata :: TrainingJobStepMetadata Source #

Create a value of TrainingJobStepMetadata with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:arn:TrainingJobStepMetadata', trainingJobStepMetadata_arn - The Amazon Resource Name (ARN) of the training job that was run by this step execution.

trainingJobStepMetadata_arn :: Lens' TrainingJobStepMetadata (Maybe Text) Source #

The Amazon Resource Name (ARN) of the training job that was run by this step execution.

TrainingJobSummary

data TrainingJobSummary Source #

Provides summary information about a training job.

See: newTrainingJobSummary smart constructor.

Constructors

TrainingJobSummary' 

Fields

Instances

Instances details
FromJSON TrainingJobSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrainingJobSummary

Methods

parseJSON :: Value -> Parser TrainingJobSummary #

parseJSONList :: Value -> Parser [TrainingJobSummary] #

Generic TrainingJobSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrainingJobSummary

Associated Types

type Rep TrainingJobSummary :: Type -> Type #

Methods

from :: TrainingJobSummary -> Rep TrainingJobSummary x #

to :: Rep TrainingJobSummary x -> TrainingJobSummary #

Read TrainingJobSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrainingJobSummary

Methods

readsPrec :: Int -> ReadS TrainingJobSummary #

readList :: ReadS [TrainingJobSummary] #

readPrec :: ReadPrec TrainingJobSummary #

readListPrec :: ReadPrec [TrainingJobSummary] #

Show TrainingJobSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrainingJobSummary

Methods

showsPrec :: Int -> TrainingJobSummary -> ShowS #

show :: TrainingJobSummary -> String #

showList :: [TrainingJobSummary] -> ShowS #

NFData TrainingJobSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrainingJobSummary

Methods

rnf :: TrainingJobSummary -> () #

Eq TrainingJobSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrainingJobSummary

Methods

(==) :: TrainingJobSummary -> TrainingJobSummary -> Bool #

(/=) :: TrainingJobSummary -> TrainingJobSummary -> Bool #

Hashable TrainingJobSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrainingJobSummary

Methods

hashWithSalt :: Int -> TrainingJobSummary -> Int #

hash :: TrainingJobSummary -> Int #

type Rep TrainingJobSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrainingJobSummary

type Rep TrainingJobSummary = D1 ('MetaData "TrainingJobSummary" "Amazonka.SageMaker.Types.TrainingJobSummary" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "TrainingJobSummary'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "lastModifiedTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :*: (S1 ('MetaSel ('Just "trainingEndTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :*: S1 ('MetaSel ('Just "warmPoolStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe WarmPoolStatus)))) :*: ((S1 ('MetaSel ('Just "trainingJobName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: S1 ('MetaSel ('Just "trainingJobArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)) :*: (S1 ('MetaSel ('Just "creationTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 POSIX) :*: S1 ('MetaSel ('Just "trainingJobStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 TrainingJobStatus)))))

newTrainingJobSummary Source #

Arguments

:: Text

$sel:trainingJobName:TrainingJobSummary'

-> Text

$sel:trainingJobArn:TrainingJobSummary'

-> UTCTime

$sel:creationTime:TrainingJobSummary'

-> TrainingJobStatus

$sel:trainingJobStatus:TrainingJobSummary'

-> TrainingJobSummary 

Create a value of TrainingJobSummary with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:lastModifiedTime:TrainingJobSummary', trainingJobSummary_lastModifiedTime - Timestamp when the training job was last modified.

$sel:trainingEndTime:TrainingJobSummary', trainingJobSummary_trainingEndTime - A timestamp that shows when the training job ended. This field is set only if the training job has one of the terminal statuses (Completed, Failed, or Stopped).

$sel:warmPoolStatus:TrainingJobSummary', trainingJobSummary_warmPoolStatus - The status of the warm pool associated with the training job.

$sel:trainingJobName:TrainingJobSummary', trainingJobSummary_trainingJobName - The name of the training job that you want a summary for.

$sel:trainingJobArn:TrainingJobSummary', trainingJobSummary_trainingJobArn - The Amazon Resource Name (ARN) of the training job.

$sel:creationTime:TrainingJobSummary', trainingJobSummary_creationTime - A timestamp that shows when the training job was created.

$sel:trainingJobStatus:TrainingJobSummary', trainingJobSummary_trainingJobStatus - The status of the training job.

trainingJobSummary_lastModifiedTime :: Lens' TrainingJobSummary (Maybe UTCTime) Source #

Timestamp when the training job was last modified.

trainingJobSummary_trainingEndTime :: Lens' TrainingJobSummary (Maybe UTCTime) Source #

A timestamp that shows when the training job ended. This field is set only if the training job has one of the terminal statuses (Completed, Failed, or Stopped).

trainingJobSummary_warmPoolStatus :: Lens' TrainingJobSummary (Maybe WarmPoolStatus) Source #

The status of the warm pool associated with the training job.

trainingJobSummary_trainingJobName :: Lens' TrainingJobSummary Text Source #

The name of the training job that you want a summary for.

trainingJobSummary_trainingJobArn :: Lens' TrainingJobSummary Text Source #

The Amazon Resource Name (ARN) of the training job.

trainingJobSummary_creationTime :: Lens' TrainingJobSummary UTCTime Source #

A timestamp that shows when the training job was created.

trainingJobSummary_trainingJobStatus :: Lens' TrainingJobSummary TrainingJobStatus Source #

The status of the training job.

TrainingSpecification

data TrainingSpecification Source #

Defines how the algorithm is used for a training job.

See: newTrainingSpecification smart constructor.

Constructors

TrainingSpecification' 

Fields

Instances

Instances details
FromJSON TrainingSpecification Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrainingSpecification

Methods

parseJSON :: Value -> Parser TrainingSpecification #

parseJSONList :: Value -> Parser [TrainingSpecification] #

ToJSON TrainingSpecification Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrainingSpecification

Methods

toJSON :: TrainingSpecification -> Value #

toEncoding :: TrainingSpecification -> Encoding #

toJSONList :: [TrainingSpecification] -> Value #

toEncodingList :: [TrainingSpecification] -> Encoding #

Generic TrainingSpecification Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrainingSpecification

Associated Types

type Rep TrainingSpecification :: Type -> Type #

Methods

from :: TrainingSpecification -> Rep TrainingSpecification x #

to :: Rep TrainingSpecification x -> TrainingSpecification #

Read TrainingSpecification Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrainingSpecification

Methods

readsPrec :: Int -> ReadS TrainingSpecification #

readList :: ReadS [TrainingSpecification] #

readPrec :: ReadPrec TrainingSpecification #

readListPrec :: ReadPrec [TrainingSpecification] #

Show TrainingSpecification Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrainingSpecification

Methods

showsPrec :: Int -> TrainingSpecification -> ShowS #

show :: TrainingSpecification -> String #

showList :: [TrainingSpecification] -> ShowS #

NFData TrainingSpecification Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrainingSpecification

Methods

rnf :: TrainingSpecification -> () #

Eq TrainingSpecification Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrainingSpecification

Methods

(==) :: TrainingSpecification -> TrainingSpecification -> Bool #

(/=) :: TrainingSpecification -> TrainingSpecification -> Bool #

Hashable TrainingSpecification Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrainingSpecification

Methods

hashWithSalt :: Int -> TrainingSpecification -> Int #

hash :: TrainingSpecification -> Int #

type Rep TrainingSpecification Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrainingSpecification

type Rep TrainingSpecification = D1 ('MetaData "TrainingSpecification" "Amazonka.SageMaker.Types.TrainingSpecification" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "TrainingSpecification'" 'PrefixI 'True) (((S1 ('MetaSel ('Just "metricDefinitions") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [MetricDefinition])) :*: S1 ('MetaSel ('Just "supportedHyperParameters") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [HyperParameterSpecification]))) :*: (S1 ('MetaSel ('Just "supportedTuningJobObjectiveMetrics") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [HyperParameterTuningJobObjective])) :*: S1 ('MetaSel ('Just "supportsDistributedTraining") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Bool)))) :*: ((S1 ('MetaSel ('Just "trainingImageDigest") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "trainingImage") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)) :*: (S1 ('MetaSel ('Just "supportedTrainingInstanceTypes") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 [TrainingInstanceType]) :*: S1 ('MetaSel ('Just "trainingChannels") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (NonEmpty ChannelSpecification))))))

newTrainingSpecification Source #

Arguments

:: Text

$sel:trainingImage:TrainingSpecification'

-> NonEmpty ChannelSpecification

$sel:trainingChannels:TrainingSpecification'

-> TrainingSpecification 

Create a value of TrainingSpecification with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:metricDefinitions:TrainingSpecification', trainingSpecification_metricDefinitions - A list of MetricDefinition objects, which are used for parsing metrics generated by the algorithm.

$sel:supportedHyperParameters:TrainingSpecification', trainingSpecification_supportedHyperParameters - A list of the HyperParameterSpecification objects, that define the supported hyperparameters. This is required if the algorithm supports automatic model tuning.>

$sel:supportedTuningJobObjectiveMetrics:TrainingSpecification', trainingSpecification_supportedTuningJobObjectiveMetrics - A list of the metrics that the algorithm emits that can be used as the objective metric in a hyperparameter tuning job.

$sel:supportsDistributedTraining:TrainingSpecification', trainingSpecification_supportsDistributedTraining - Indicates whether the algorithm supports distributed training. If set to false, buyers can't request more than one instance during training.

$sel:trainingImageDigest:TrainingSpecification', trainingSpecification_trainingImageDigest - An MD5 hash of the training algorithm that identifies the Docker image used for training.

$sel:trainingImage:TrainingSpecification', trainingSpecification_trainingImage - The Amazon ECR registry path of the Docker image that contains the training algorithm.

$sel:supportedTrainingInstanceTypes:TrainingSpecification', trainingSpecification_supportedTrainingInstanceTypes - A list of the instance types that this algorithm can use for training.

$sel:trainingChannels:TrainingSpecification', trainingSpecification_trainingChannels - A list of ChannelSpecification objects, which specify the input sources to be used by the algorithm.

trainingSpecification_metricDefinitions :: Lens' TrainingSpecification (Maybe [MetricDefinition]) Source #

A list of MetricDefinition objects, which are used for parsing metrics generated by the algorithm.

trainingSpecification_supportedHyperParameters :: Lens' TrainingSpecification (Maybe [HyperParameterSpecification]) Source #

A list of the HyperParameterSpecification objects, that define the supported hyperparameters. This is required if the algorithm supports automatic model tuning.>

trainingSpecification_supportedTuningJobObjectiveMetrics :: Lens' TrainingSpecification (Maybe [HyperParameterTuningJobObjective]) Source #

A list of the metrics that the algorithm emits that can be used as the objective metric in a hyperparameter tuning job.

trainingSpecification_supportsDistributedTraining :: Lens' TrainingSpecification (Maybe Bool) Source #

Indicates whether the algorithm supports distributed training. If set to false, buyers can't request more than one instance during training.

trainingSpecification_trainingImageDigest :: Lens' TrainingSpecification (Maybe Text) Source #

An MD5 hash of the training algorithm that identifies the Docker image used for training.

trainingSpecification_trainingImage :: Lens' TrainingSpecification Text Source #

The Amazon ECR registry path of the Docker image that contains the training algorithm.

trainingSpecification_supportedTrainingInstanceTypes :: Lens' TrainingSpecification [TrainingInstanceType] Source #

A list of the instance types that this algorithm can use for training.

trainingSpecification_trainingChannels :: Lens' TrainingSpecification (NonEmpty ChannelSpecification) Source #

A list of ChannelSpecification objects, which specify the input sources to be used by the algorithm.

TransformDataSource

data TransformDataSource Source #

Describes the location of the channel data.

See: newTransformDataSource smart constructor.

Constructors

TransformDataSource' 

Fields

Instances

Instances details
FromJSON TransformDataSource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TransformDataSource

Methods

parseJSON :: Value -> Parser TransformDataSource #

parseJSONList :: Value -> Parser [TransformDataSource] #

ToJSON TransformDataSource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TransformDataSource

Methods

toJSON :: TransformDataSource -> Value #

toEncoding :: TransformDataSource -> Encoding #

toJSONList :: [TransformDataSource] -> Value #

toEncodingList :: [TransformDataSource] -> Encoding #

Generic TransformDataSource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TransformDataSource

Associated Types

type Rep TransformDataSource :: Type -> Type #

Methods

from :: TransformDataSource -> Rep TransformDataSource x #

to :: Rep TransformDataSource x -> TransformDataSource #

Read TransformDataSource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TransformDataSource

Methods

readsPrec :: Int -> ReadS TransformDataSource #

readList :: ReadS [TransformDataSource] #

readPrec :: ReadPrec TransformDataSource #

readListPrec :: ReadPrec [TransformDataSource] #

Show TransformDataSource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TransformDataSource

Methods

showsPrec :: Int -> TransformDataSource -> ShowS #

show :: TransformDataSource -> String #

showList :: [TransformDataSource] -> ShowS #

NFData TransformDataSource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TransformDataSource

Methods

rnf :: TransformDataSource -> () #

Eq TransformDataSource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TransformDataSource

Methods

(==) :: TransformDataSource -> TransformDataSource -> Bool #

(/=) :: TransformDataSource -> TransformDataSource -> Bool #

Hashable TransformDataSource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TransformDataSource

Methods

hashWithSalt :: Int -> TransformDataSource -> Int #

hash :: TransformDataSource -> Int #

type Rep TransformDataSource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TransformDataSource

type Rep TransformDataSource = D1 ('MetaData "TransformDataSource" "Amazonka.SageMaker.Types.TransformDataSource" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "TransformDataSource'" 'PrefixI 'True) (S1 ('MetaSel ('Just "s3DataSource") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 TransformS3DataSource)))

newTransformDataSource Source #

Arguments

:: TransformS3DataSource

$sel:s3DataSource:TransformDataSource'

-> TransformDataSource 

Create a value of TransformDataSource with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:s3DataSource:TransformDataSource', transformDataSource_s3DataSource - The S3 location of the data source that is associated with a channel.

transformDataSource_s3DataSource :: Lens' TransformDataSource TransformS3DataSource Source #

The S3 location of the data source that is associated with a channel.

TransformInput

data TransformInput Source #

Describes the input source of a transform job and the way the transform job consumes it.

See: newTransformInput smart constructor.

Constructors

TransformInput' 

Fields

  • compressionType :: Maybe CompressionType

    If your transform data is compressed, specify the compression type. Amazon SageMaker automatically decompresses the data for the transform job accordingly. The default value is None.

  • contentType :: Maybe Text

    The multipurpose internet mail extension (MIME) type of the data. Amazon SageMaker uses the MIME type with each http call to transfer data to the transform job.

  • splitType :: Maybe SplitType

    The method to use to split the transform job's data files into smaller batches. Splitting is necessary when the total size of each object is too large to fit in a single request. You can also use data splitting to improve performance by processing multiple concurrent mini-batches. The default value for SplitType is None, which indicates that input data files are not split, and request payloads contain the entire contents of an input object. Set the value of this parameter to Line to split records on a newline character boundary. SplitType also supports a number of record-oriented binary data formats. Currently, the supported record formats are:

    • RecordIO
    • TFRecord

    When splitting is enabled, the size of a mini-batch depends on the values of the BatchStrategy and MaxPayloadInMB parameters. When the value of BatchStrategy is MultiRecord, Amazon SageMaker sends the maximum number of records in each request, up to the MaxPayloadInMB limit. If the value of BatchStrategy is SingleRecord, Amazon SageMaker sends individual records in each request.

    Some data formats represent a record as a binary payload wrapped with extra padding bytes. When splitting is applied to a binary data format, padding is removed if the value of BatchStrategy is set to SingleRecord. Padding is not removed if the value of BatchStrategy is set to MultiRecord.

    For more information about RecordIO, see Create a Dataset Using RecordIO in the MXNet documentation. For more information about TFRecord, see Consuming TFRecord data in the TensorFlow documentation.

  • dataSource :: TransformDataSource

    Describes the location of the channel data, which is, the S3 location of the input data that the model can consume.

Instances

Instances details
FromJSON TransformInput Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TransformInput

Methods

parseJSON :: Value -> Parser TransformInput #

parseJSONList :: Value -> Parser [TransformInput] #

ToJSON TransformInput Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TransformInput

Methods

toJSON :: TransformInput -> Value #

toEncoding :: TransformInput -> Encoding #

toJSONList :: [TransformInput] -> Value #

toEncodingList :: [TransformInput] -> Encoding #

Generic TransformInput Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TransformInput

Associated Types

type Rep TransformInput :: Type -> Type #

Methods

from :: TransformInput -> Rep TransformInput x #

to :: Rep TransformInput x -> TransformInput #

Read TransformInput Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TransformInput

Methods

readsPrec :: Int -> ReadS TransformInput #

readList :: ReadS [TransformInput] #

readPrec :: ReadPrec TransformInput #

readListPrec :: ReadPrec [TransformInput] #

Show TransformInput Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TransformInput

Methods

showsPrec :: Int -> TransformInput -> ShowS #

show :: TransformInput -> String #

showList :: [TransformInput] -> ShowS #

NFData TransformInput Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TransformInput

Methods

rnf :: TransformInput -> () #

Eq TransformInput Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TransformInput

Methods

(==) :: TransformInput -> TransformInput -> Bool #

(/=) :: TransformInput -> TransformInput -> Bool #

Hashable TransformInput Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TransformInput

Methods

hashWithSalt :: Int -> TransformInput -> Int #

hash :: TransformInput -> Int #

type Rep TransformInput Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TransformInput

type Rep TransformInput = D1 ('MetaData "TransformInput" "Amazonka.SageMaker.Types.TransformInput" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "TransformInput'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "compressionType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe CompressionType)) :*: S1 ('MetaSel ('Just "contentType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))) :*: (S1 ('MetaSel ('Just "splitType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe SplitType)) :*: S1 ('MetaSel ('Just "dataSource") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 TransformDataSource))))

newTransformInput Source #

Arguments

:: TransformDataSource

$sel:dataSource:TransformInput'

-> TransformInput 

Create a value of TransformInput with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:compressionType:TransformInput', transformInput_compressionType - If your transform data is compressed, specify the compression type. Amazon SageMaker automatically decompresses the data for the transform job accordingly. The default value is None.

$sel:contentType:TransformInput', transformInput_contentType - The multipurpose internet mail extension (MIME) type of the data. Amazon SageMaker uses the MIME type with each http call to transfer data to the transform job.

$sel:splitType:TransformInput', transformInput_splitType - The method to use to split the transform job's data files into smaller batches. Splitting is necessary when the total size of each object is too large to fit in a single request. You can also use data splitting to improve performance by processing multiple concurrent mini-batches. The default value for SplitType is None, which indicates that input data files are not split, and request payloads contain the entire contents of an input object. Set the value of this parameter to Line to split records on a newline character boundary. SplitType also supports a number of record-oriented binary data formats. Currently, the supported record formats are:

  • RecordIO
  • TFRecord

When splitting is enabled, the size of a mini-batch depends on the values of the BatchStrategy and MaxPayloadInMB parameters. When the value of BatchStrategy is MultiRecord, Amazon SageMaker sends the maximum number of records in each request, up to the MaxPayloadInMB limit. If the value of BatchStrategy is SingleRecord, Amazon SageMaker sends individual records in each request.

Some data formats represent a record as a binary payload wrapped with extra padding bytes. When splitting is applied to a binary data format, padding is removed if the value of BatchStrategy is set to SingleRecord. Padding is not removed if the value of BatchStrategy is set to MultiRecord.

For more information about RecordIO, see Create a Dataset Using RecordIO in the MXNet documentation. For more information about TFRecord, see Consuming TFRecord data in the TensorFlow documentation.

$sel:dataSource:TransformInput', transformInput_dataSource - Describes the location of the channel data, which is, the S3 location of the input data that the model can consume.

transformInput_compressionType :: Lens' TransformInput (Maybe CompressionType) Source #

If your transform data is compressed, specify the compression type. Amazon SageMaker automatically decompresses the data for the transform job accordingly. The default value is None.

transformInput_contentType :: Lens' TransformInput (Maybe Text) Source #

The multipurpose internet mail extension (MIME) type of the data. Amazon SageMaker uses the MIME type with each http call to transfer data to the transform job.

transformInput_splitType :: Lens' TransformInput (Maybe SplitType) Source #

The method to use to split the transform job's data files into smaller batches. Splitting is necessary when the total size of each object is too large to fit in a single request. You can also use data splitting to improve performance by processing multiple concurrent mini-batches. The default value for SplitType is None, which indicates that input data files are not split, and request payloads contain the entire contents of an input object. Set the value of this parameter to Line to split records on a newline character boundary. SplitType also supports a number of record-oriented binary data formats. Currently, the supported record formats are:

  • RecordIO
  • TFRecord

When splitting is enabled, the size of a mini-batch depends on the values of the BatchStrategy and MaxPayloadInMB parameters. When the value of BatchStrategy is MultiRecord, Amazon SageMaker sends the maximum number of records in each request, up to the MaxPayloadInMB limit. If the value of BatchStrategy is SingleRecord, Amazon SageMaker sends individual records in each request.

Some data formats represent a record as a binary payload wrapped with extra padding bytes. When splitting is applied to a binary data format, padding is removed if the value of BatchStrategy is set to SingleRecord. Padding is not removed if the value of BatchStrategy is set to MultiRecord.

For more information about RecordIO, see Create a Dataset Using RecordIO in the MXNet documentation. For more information about TFRecord, see Consuming TFRecord data in the TensorFlow documentation.

transformInput_dataSource :: Lens' TransformInput TransformDataSource Source #

Describes the location of the channel data, which is, the S3 location of the input data that the model can consume.

TransformJob

data TransformJob Source #

A batch transform job. For information about SageMaker batch transform, see Use Batch Transform.

See: newTransformJob smart constructor.

Constructors

TransformJob' 

Fields

  • autoMLJobArn :: Maybe Text

    The Amazon Resource Name (ARN) of the AutoML job that created the transform job.

  • batchStrategy :: Maybe BatchStrategy

    Specifies the number of records to include in a mini-batch for an HTTP inference request. A record is a single unit of input data that inference can be made on. For example, a single line in a CSV file is a record.

  • creationTime :: Maybe POSIX

    A timestamp that shows when the transform Job was created.

  • dataProcessing :: Maybe DataProcessing
     
  • environment :: Maybe (HashMap Text Text)

    The environment variables to set in the Docker container. We support up to 16 key and values entries in the map.

  • experimentConfig :: Maybe ExperimentConfig
     
  • failureReason :: Maybe Text

    If the transform job failed, the reason it failed.

  • labelingJobArn :: Maybe Text

    The Amazon Resource Name (ARN) of the labeling job that created the transform job.

  • maxConcurrentTransforms :: Maybe Natural

    The maximum number of parallel requests that can be sent to each instance in a transform job. If MaxConcurrentTransforms is set to 0 or left unset, SageMaker checks the optional execution-parameters to determine the settings for your chosen algorithm. If the execution-parameters endpoint is not enabled, the default value is 1. For built-in algorithms, you don't need to set a value for MaxConcurrentTransforms.

  • maxPayloadInMB :: Maybe Natural

    The maximum allowed size of the payload, in MB. A payload is the data portion of a record (without metadata). The value in MaxPayloadInMB must be greater than, or equal to, the size of a single record. To estimate the size of a record in MB, divide the size of your dataset by the number of records. To ensure that the records fit within the maximum payload size, we recommend using a slightly larger value. The default value is 6 MB. For cases where the payload might be arbitrarily large and is transmitted using HTTP chunked encoding, set the value to 0. This feature works only in supported algorithms. Currently, SageMaker built-in algorithms do not support HTTP chunked encoding.

  • modelClientConfig :: Maybe ModelClientConfig
     
  • modelName :: Maybe Text

    The name of the model associated with the transform job.

  • tags :: Maybe [Tag]

    A list of tags associated with the transform job.

  • transformEndTime :: Maybe POSIX

    Indicates when the transform job has been completed, or has stopped or failed. You are billed for the time interval between this time and the value of TransformStartTime.

  • transformInput :: Maybe TransformInput
     
  • transformJobArn :: Maybe Text

    The Amazon Resource Name (ARN) of the transform job.

  • transformJobName :: Maybe Text

    The name of the transform job.

  • transformJobStatus :: Maybe TransformJobStatus

    The status of the transform job.

    Transform job statuses are:

    • InProgress - The job is in progress.
    • Completed - The job has completed.
    • Failed - The transform job has failed. To see the reason for the failure, see the FailureReason field in the response to a DescribeTransformJob call.
    • Stopping - The transform job is stopping.
    • Stopped - The transform job has stopped.
  • transformOutput :: Maybe TransformOutput
     
  • transformResources :: Maybe TransformResources
     
  • transformStartTime :: Maybe POSIX

    Indicates when the transform job starts on ML instances. You are billed for the time interval between this time and the value of TransformEndTime.

Instances

Instances details
FromJSON TransformJob Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TransformJob

Methods

parseJSON :: Value -> Parser TransformJob #

parseJSONList :: Value -> Parser [TransformJob] #

Generic TransformJob Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TransformJob

Associated Types

type Rep TransformJob :: Type -> Type #

Methods

from :: TransformJob -> Rep TransformJob x #

to :: Rep TransformJob x -> TransformJob #

Read TransformJob Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TransformJob

Methods

readsPrec :: Int -> ReadS TransformJob #

readList :: ReadS [TransformJob] #

readPrec :: ReadPrec TransformJob #

readListPrec :: ReadPrec [TransformJob] #

Show TransformJob Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TransformJob

Methods

showsPrec :: Int -> TransformJob -> ShowS #

show :: TransformJob -> String #

showList :: [TransformJob] -> ShowS #

NFData TransformJob Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TransformJob

Methods

rnf :: TransformJob -> () #

Eq TransformJob Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TransformJob

Methods

(==) :: TransformJob -> TransformJob -> Bool #

(/=) :: TransformJob -> TransformJob -> Bool #

Hashable TransformJob Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TransformJob

Methods

hashWithSalt :: Int -> TransformJob -> Int #

hash :: TransformJob -> Int #

type Rep TransformJob Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TransformJob

type Rep TransformJob = D1 ('MetaData "TransformJob" "Amazonka.SageMaker.Types.TransformJob" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "TransformJob'" 'PrefixI 'True) ((((S1 ('MetaSel ('Just "autoMLJobArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "batchStrategy") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe BatchStrategy))) :*: (S1 ('MetaSel ('Just "creationTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :*: (S1 ('MetaSel ('Just "dataProcessing") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe DataProcessing)) :*: S1 ('MetaSel ('Just "environment") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe (HashMap Text Text)))))) :*: ((S1 ('MetaSel ('Just "experimentConfig") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ExperimentConfig)) :*: S1 ('MetaSel ('Just "failureReason") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))) :*: (S1 ('MetaSel ('Just "labelingJobArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: (S1 ('MetaSel ('Just "maxConcurrentTransforms") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural)) :*: S1 ('MetaSel ('Just "maxPayloadInMB") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural)))))) :*: (((S1 ('MetaSel ('Just "modelClientConfig") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ModelClientConfig)) :*: S1 ('MetaSel ('Just "modelName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))) :*: (S1 ('MetaSel ('Just "tags") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [Tag])) :*: (S1 ('MetaSel ('Just "transformEndTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :*: S1 ('MetaSel ('Just "transformInput") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe TransformInput))))) :*: ((S1 ('MetaSel ('Just "transformJobArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: (S1 ('MetaSel ('Just "transformJobName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "transformJobStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe TransformJobStatus)))) :*: (S1 ('MetaSel ('Just "transformOutput") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe TransformOutput)) :*: (S1 ('MetaSel ('Just "transformResources") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe TransformResources)) :*: S1 ('MetaSel ('Just "transformStartTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX))))))))

newTransformJob :: TransformJob Source #

Create a value of TransformJob with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:autoMLJobArn:TransformJob', transformJob_autoMLJobArn - The Amazon Resource Name (ARN) of the AutoML job that created the transform job.

$sel:batchStrategy:TransformJob', transformJob_batchStrategy - Specifies the number of records to include in a mini-batch for an HTTP inference request. A record is a single unit of input data that inference can be made on. For example, a single line in a CSV file is a record.

$sel:creationTime:TransformJob', transformJob_creationTime - A timestamp that shows when the transform Job was created.

$sel:dataProcessing:TransformJob', transformJob_dataProcessing - Undocumented member.

$sel:environment:TransformJob', transformJob_environment - The environment variables to set in the Docker container. We support up to 16 key and values entries in the map.

$sel:experimentConfig:TransformJob', transformJob_experimentConfig - Undocumented member.

$sel:failureReason:TransformJob', transformJob_failureReason - If the transform job failed, the reason it failed.

$sel:labelingJobArn:TransformJob', transformJob_labelingJobArn - The Amazon Resource Name (ARN) of the labeling job that created the transform job.

$sel:maxConcurrentTransforms:TransformJob', transformJob_maxConcurrentTransforms - The maximum number of parallel requests that can be sent to each instance in a transform job. If MaxConcurrentTransforms is set to 0 or left unset, SageMaker checks the optional execution-parameters to determine the settings for your chosen algorithm. If the execution-parameters endpoint is not enabled, the default value is 1. For built-in algorithms, you don't need to set a value for MaxConcurrentTransforms.

$sel:maxPayloadInMB:TransformJob', transformJob_maxPayloadInMB - The maximum allowed size of the payload, in MB. A payload is the data portion of a record (without metadata). The value in MaxPayloadInMB must be greater than, or equal to, the size of a single record. To estimate the size of a record in MB, divide the size of your dataset by the number of records. To ensure that the records fit within the maximum payload size, we recommend using a slightly larger value. The default value is 6 MB. For cases where the payload might be arbitrarily large and is transmitted using HTTP chunked encoding, set the value to 0. This feature works only in supported algorithms. Currently, SageMaker built-in algorithms do not support HTTP chunked encoding.

$sel:modelClientConfig:TransformJob', transformJob_modelClientConfig - Undocumented member.

$sel:modelName:TransformJob', transformJob_modelName - The name of the model associated with the transform job.

$sel:tags:TransformJob', transformJob_tags - A list of tags associated with the transform job.

$sel:transformEndTime:TransformJob', transformJob_transformEndTime - Indicates when the transform job has been completed, or has stopped or failed. You are billed for the time interval between this time and the value of TransformStartTime.

$sel:transformInput:TransformJob', transformJob_transformInput - Undocumented member.

$sel:transformJobArn:TransformJob', transformJob_transformJobArn - The Amazon Resource Name (ARN) of the transform job.

$sel:transformJobName:TransformJob', transformJob_transformJobName - The name of the transform job.

$sel:transformJobStatus:TransformJob', transformJob_transformJobStatus - The status of the transform job.

Transform job statuses are:

  • InProgress - The job is in progress.
  • Completed - The job has completed.
  • Failed - The transform job has failed. To see the reason for the failure, see the FailureReason field in the response to a DescribeTransformJob call.
  • Stopping - The transform job is stopping.
  • Stopped - The transform job has stopped.

$sel:transformOutput:TransformJob', transformJob_transformOutput - Undocumented member.

$sel:transformResources:TransformJob', transformJob_transformResources - Undocumented member.

$sel:transformStartTime:TransformJob', transformJob_transformStartTime - Indicates when the transform job starts on ML instances. You are billed for the time interval between this time and the value of TransformEndTime.

transformJob_autoMLJobArn :: Lens' TransformJob (Maybe Text) Source #

The Amazon Resource Name (ARN) of the AutoML job that created the transform job.

transformJob_batchStrategy :: Lens' TransformJob (Maybe BatchStrategy) Source #

Specifies the number of records to include in a mini-batch for an HTTP inference request. A record is a single unit of input data that inference can be made on. For example, a single line in a CSV file is a record.

transformJob_creationTime :: Lens' TransformJob (Maybe UTCTime) Source #

A timestamp that shows when the transform Job was created.

transformJob_dataProcessing :: Lens' TransformJob (Maybe DataProcessing) Source #

Undocumented member.

transformJob_environment :: Lens' TransformJob (Maybe (HashMap Text Text)) Source #

The environment variables to set in the Docker container. We support up to 16 key and values entries in the map.

transformJob_experimentConfig :: Lens' TransformJob (Maybe ExperimentConfig) Source #

Undocumented member.

transformJob_failureReason :: Lens' TransformJob (Maybe Text) Source #

If the transform job failed, the reason it failed.

transformJob_labelingJobArn :: Lens' TransformJob (Maybe Text) Source #

The Amazon Resource Name (ARN) of the labeling job that created the transform job.

transformJob_maxConcurrentTransforms :: Lens' TransformJob (Maybe Natural) Source #

The maximum number of parallel requests that can be sent to each instance in a transform job. If MaxConcurrentTransforms is set to 0 or left unset, SageMaker checks the optional execution-parameters to determine the settings for your chosen algorithm. If the execution-parameters endpoint is not enabled, the default value is 1. For built-in algorithms, you don't need to set a value for MaxConcurrentTransforms.

transformJob_maxPayloadInMB :: Lens' TransformJob (Maybe Natural) Source #

The maximum allowed size of the payload, in MB. A payload is the data portion of a record (without metadata). The value in MaxPayloadInMB must be greater than, or equal to, the size of a single record. To estimate the size of a record in MB, divide the size of your dataset by the number of records. To ensure that the records fit within the maximum payload size, we recommend using a slightly larger value. The default value is 6 MB. For cases where the payload might be arbitrarily large and is transmitted using HTTP chunked encoding, set the value to 0. This feature works only in supported algorithms. Currently, SageMaker built-in algorithms do not support HTTP chunked encoding.

transformJob_modelClientConfig :: Lens' TransformJob (Maybe ModelClientConfig) Source #

Undocumented member.

transformJob_modelName :: Lens' TransformJob (Maybe Text) Source #

The name of the model associated with the transform job.

transformJob_tags :: Lens' TransformJob (Maybe [Tag]) Source #

A list of tags associated with the transform job.

transformJob_transformEndTime :: Lens' TransformJob (Maybe UTCTime) Source #

Indicates when the transform job has been completed, or has stopped or failed. You are billed for the time interval between this time and the value of TransformStartTime.

transformJob_transformInput :: Lens' TransformJob (Maybe TransformInput) Source #

Undocumented member.

transformJob_transformJobArn :: Lens' TransformJob (Maybe Text) Source #

The Amazon Resource Name (ARN) of the transform job.

transformJob_transformJobName :: Lens' TransformJob (Maybe Text) Source #

The name of the transform job.

transformJob_transformJobStatus :: Lens' TransformJob (Maybe TransformJobStatus) Source #

The status of the transform job.

Transform job statuses are:

  • InProgress - The job is in progress.
  • Completed - The job has completed.
  • Failed - The transform job has failed. To see the reason for the failure, see the FailureReason field in the response to a DescribeTransformJob call.
  • Stopping - The transform job is stopping.
  • Stopped - The transform job has stopped.

transformJob_transformOutput :: Lens' TransformJob (Maybe TransformOutput) Source #

Undocumented member.

transformJob_transformResources :: Lens' TransformJob (Maybe TransformResources) Source #

Undocumented member.

transformJob_transformStartTime :: Lens' TransformJob (Maybe UTCTime) Source #

Indicates when the transform job starts on ML instances. You are billed for the time interval between this time and the value of TransformEndTime.

TransformJobDefinition

data TransformJobDefinition Source #

Defines the input needed to run a transform job using the inference specification specified in the algorithm.

See: newTransformJobDefinition smart constructor.

Constructors

TransformJobDefinition' 

Fields

Instances

Instances details
FromJSON TransformJobDefinition Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TransformJobDefinition

Methods

parseJSON :: Value -> Parser TransformJobDefinition #

parseJSONList :: Value -> Parser [TransformJobDefinition] #

ToJSON TransformJobDefinition Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TransformJobDefinition

Methods

toJSON :: TransformJobDefinition -> Value #

toEncoding :: TransformJobDefinition -> Encoding #

toJSONList :: [TransformJobDefinition] -> Value #

toEncodingList :: [TransformJobDefinition] -> Encoding #

Generic TransformJobDefinition Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TransformJobDefinition

Associated Types

type Rep TransformJobDefinition :: Type -> Type #

Methods

from :: TransformJobDefinition -> Rep TransformJobDefinition x #

to :: Rep TransformJobDefinition x -> TransformJobDefinition #

Read TransformJobDefinition Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TransformJobDefinition

Methods

readsPrec :: Int -> ReadS TransformJobDefinition #

readList :: ReadS [TransformJobDefinition] #

readPrec :: ReadPrec TransformJobDefinition #

readListPrec :: ReadPrec [TransformJobDefinition] #

Show TransformJobDefinition Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TransformJobDefinition

Methods

showsPrec :: Int -> TransformJobDefinition -> ShowS #

show :: TransformJobDefinition -> String #

showList :: [TransformJobDefinition] -> ShowS #

NFData TransformJobDefinition Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TransformJobDefinition

Methods

rnf :: TransformJobDefinition -> () #

Eq TransformJobDefinition Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TransformJobDefinition

Methods

(==) :: TransformJobDefinition -> TransformJobDefinition -> Bool #

(/=) :: TransformJobDefinition -> TransformJobDefinition -> Bool #

Hashable TransformJobDefinition Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TransformJobDefinition

Methods

hashWithSalt :: Int -> TransformJobDefinition -> Int #

hash :: TransformJobDefinition -> Int #

type Rep TransformJobDefinition Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TransformJobDefinition

type Rep TransformJobDefinition = D1 ('MetaData "TransformJobDefinition" "Amazonka.SageMaker.Types.TransformJobDefinition" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "TransformJobDefinition'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "batchStrategy") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe BatchStrategy)) :*: (S1 ('MetaSel ('Just "environment") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe (HashMap Text Text))) :*: S1 ('MetaSel ('Just "maxConcurrentTransforms") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural)))) :*: ((S1 ('MetaSel ('Just "maxPayloadInMB") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural)) :*: S1 ('MetaSel ('Just "transformInput") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 TransformInput)) :*: (S1 ('MetaSel ('Just "transformOutput") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 TransformOutput) :*: S1 ('MetaSel ('Just "transformResources") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 TransformResources)))))

newTransformJobDefinition Source #

Arguments

:: TransformInput

$sel:transformInput:TransformJobDefinition'

-> TransformOutput

$sel:transformOutput:TransformJobDefinition'

-> TransformResources

$sel:transformResources:TransformJobDefinition'

-> TransformJobDefinition 

Create a value of TransformJobDefinition with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:batchStrategy:TransformJobDefinition', transformJobDefinition_batchStrategy - A string that determines the number of records included in a single mini-batch.

SingleRecord means only one record is used per mini-batch. MultiRecord means a mini-batch is set to contain as many records that can fit within the MaxPayloadInMB limit.

$sel:environment:TransformJobDefinition', transformJobDefinition_environment - The environment variables to set in the Docker container. We support up to 16 key and values entries in the map.

$sel:maxConcurrentTransforms:TransformJobDefinition', transformJobDefinition_maxConcurrentTransforms - The maximum number of parallel requests that can be sent to each instance in a transform job. The default value is 1.

$sel:maxPayloadInMB:TransformJobDefinition', transformJobDefinition_maxPayloadInMB - The maximum payload size allowed, in MB. A payload is the data portion of a record (without metadata).

$sel:transformInput:TransformJobDefinition', transformJobDefinition_transformInput - A description of the input source and the way the transform job consumes it.

$sel:transformOutput:TransformJobDefinition', transformJobDefinition_transformOutput - Identifies the Amazon S3 location where you want Amazon SageMaker to save the results from the transform job.

$sel:transformResources:TransformJobDefinition', transformJobDefinition_transformResources - Identifies the ML compute instances for the transform job.

transformJobDefinition_batchStrategy :: Lens' TransformJobDefinition (Maybe BatchStrategy) Source #

A string that determines the number of records included in a single mini-batch.

SingleRecord means only one record is used per mini-batch. MultiRecord means a mini-batch is set to contain as many records that can fit within the MaxPayloadInMB limit.

transformJobDefinition_environment :: Lens' TransformJobDefinition (Maybe (HashMap Text Text)) Source #

The environment variables to set in the Docker container. We support up to 16 key and values entries in the map.

transformJobDefinition_maxConcurrentTransforms :: Lens' TransformJobDefinition (Maybe Natural) Source #

The maximum number of parallel requests that can be sent to each instance in a transform job. The default value is 1.

transformJobDefinition_maxPayloadInMB :: Lens' TransformJobDefinition (Maybe Natural) Source #

The maximum payload size allowed, in MB. A payload is the data portion of a record (without metadata).

transformJobDefinition_transformInput :: Lens' TransformJobDefinition TransformInput Source #

A description of the input source and the way the transform job consumes it.

transformJobDefinition_transformOutput :: Lens' TransformJobDefinition TransformOutput Source #

Identifies the Amazon S3 location where you want Amazon SageMaker to save the results from the transform job.

transformJobDefinition_transformResources :: Lens' TransformJobDefinition TransformResources Source #

Identifies the ML compute instances for the transform job.

TransformJobStepMetadata

data TransformJobStepMetadata Source #

Metadata for a transform job step.

See: newTransformJobStepMetadata smart constructor.

Constructors

TransformJobStepMetadata' 

Fields

  • arn :: Maybe Text

    The Amazon Resource Name (ARN) of the transform job that was run by this step execution.

Instances

Instances details
FromJSON TransformJobStepMetadata Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TransformJobStepMetadata

Methods

parseJSON :: Value -> Parser TransformJobStepMetadata #

parseJSONList :: Value -> Parser [TransformJobStepMetadata] #

Generic TransformJobStepMetadata Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TransformJobStepMetadata

Associated Types

type Rep TransformJobStepMetadata :: Type -> Type #

Methods

from :: TransformJobStepMetadata -> Rep TransformJobStepMetadata x #

to :: Rep TransformJobStepMetadata x -> TransformJobStepMetadata #

Read TransformJobStepMetadata Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TransformJobStepMetadata

Methods

readsPrec :: Int -> ReadS TransformJobStepMetadata #

readList :: ReadS [TransformJobStepMetadata] #

readPrec :: ReadPrec TransformJobStepMetadata #

readListPrec :: ReadPrec [TransformJobStepMetadata] #

Show TransformJobStepMetadata Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TransformJobStepMetadata

Methods

showsPrec :: Int -> TransformJobStepMetadata -> ShowS #

show :: TransformJobStepMetadata -> String #

showList :: [TransformJobStepMetadata] -> ShowS #

NFData TransformJobStepMetadata Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TransformJobStepMetadata

Methods

rnf :: TransformJobStepMetadata -> () #

Eq TransformJobStepMetadata Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TransformJobStepMetadata

Methods

(==) :: TransformJobStepMetadata -> TransformJobStepMetadata -> Bool #

(/=) :: TransformJobStepMetadata -> TransformJobStepMetadata -> Bool #

Hashable TransformJobStepMetadata Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TransformJobStepMetadata

Methods

hashWithSalt :: Int -> TransformJobStepMetadata -> Int #

hash :: TransformJobStepMetadata -> Int #

type Rep TransformJobStepMetadata Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TransformJobStepMetadata

type Rep TransformJobStepMetadata = D1 ('MetaData "TransformJobStepMetadata" "Amazonka.SageMaker.Types.TransformJobStepMetadata" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "TransformJobStepMetadata'" 'PrefixI 'True) (S1 ('MetaSel ('Just "arn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))

newTransformJobStepMetadata :: TransformJobStepMetadata Source #

Create a value of TransformJobStepMetadata with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:arn:TransformJobStepMetadata', transformJobStepMetadata_arn - The Amazon Resource Name (ARN) of the transform job that was run by this step execution.

transformJobStepMetadata_arn :: Lens' TransformJobStepMetadata (Maybe Text) Source #

The Amazon Resource Name (ARN) of the transform job that was run by this step execution.

TransformJobSummary

data TransformJobSummary Source #

Provides a summary of a transform job. Multiple TransformJobSummary objects are returned as a list after in response to a ListTransformJobs call.

See: newTransformJobSummary smart constructor.

Constructors

TransformJobSummary' 

Fields

Instances

Instances details
FromJSON TransformJobSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TransformJobSummary

Methods

parseJSON :: Value -> Parser TransformJobSummary #

parseJSONList :: Value -> Parser [TransformJobSummary] #

Generic TransformJobSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TransformJobSummary

Associated Types

type Rep TransformJobSummary :: Type -> Type #

Methods

from :: TransformJobSummary -> Rep TransformJobSummary x #

to :: Rep TransformJobSummary x -> TransformJobSummary #

Read TransformJobSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TransformJobSummary

Methods

readsPrec :: Int -> ReadS TransformJobSummary #

readList :: ReadS [TransformJobSummary] #

readPrec :: ReadPrec TransformJobSummary #

readListPrec :: ReadPrec [TransformJobSummary] #

Show TransformJobSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TransformJobSummary

Methods

showsPrec :: Int -> TransformJobSummary -> ShowS #

show :: TransformJobSummary -> String #

showList :: [TransformJobSummary] -> ShowS #

NFData TransformJobSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TransformJobSummary

Methods

rnf :: TransformJobSummary -> () #

Eq TransformJobSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TransformJobSummary

Methods

(==) :: TransformJobSummary -> TransformJobSummary -> Bool #

(/=) :: TransformJobSummary -> TransformJobSummary -> Bool #

Hashable TransformJobSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TransformJobSummary

Methods

hashWithSalt :: Int -> TransformJobSummary -> Int #

hash :: TransformJobSummary -> Int #

type Rep TransformJobSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TransformJobSummary

type Rep TransformJobSummary = D1 ('MetaData "TransformJobSummary" "Amazonka.SageMaker.Types.TransformJobSummary" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "TransformJobSummary'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "failureReason") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: (S1 ('MetaSel ('Just "lastModifiedTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :*: S1 ('MetaSel ('Just "transformEndTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)))) :*: ((S1 ('MetaSel ('Just "transformJobName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: S1 ('MetaSel ('Just "transformJobArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)) :*: (S1 ('MetaSel ('Just "creationTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 POSIX) :*: S1 ('MetaSel ('Just "transformJobStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 TransformJobStatus)))))

newTransformJobSummary Source #

Arguments

:: Text

$sel:transformJobName:TransformJobSummary'

-> Text

$sel:transformJobArn:TransformJobSummary'

-> UTCTime

$sel:creationTime:TransformJobSummary'

-> TransformJobStatus

$sel:transformJobStatus:TransformJobSummary'

-> TransformJobSummary 

Create a value of TransformJobSummary with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:failureReason:TransformJobSummary', transformJobSummary_failureReason - If the transform job failed, the reason it failed.

$sel:lastModifiedTime:TransformJobSummary', transformJobSummary_lastModifiedTime - Indicates when the transform job was last modified.

$sel:transformEndTime:TransformJobSummary', transformJobSummary_transformEndTime - Indicates when the transform job ends on compute instances. For successful jobs and stopped jobs, this is the exact time recorded after the results are uploaded. For failed jobs, this is when Amazon SageMaker detected that the job failed.

$sel:transformJobName:TransformJobSummary', transformJobSummary_transformJobName - The name of the transform job.

$sel:transformJobArn:TransformJobSummary', transformJobSummary_transformJobArn - The Amazon Resource Name (ARN) of the transform job.

$sel:creationTime:TransformJobSummary', transformJobSummary_creationTime - A timestamp that shows when the transform Job was created.

$sel:transformJobStatus:TransformJobSummary', transformJobSummary_transformJobStatus - The status of the transform job.

transformJobSummary_failureReason :: Lens' TransformJobSummary (Maybe Text) Source #

If the transform job failed, the reason it failed.

transformJobSummary_lastModifiedTime :: Lens' TransformJobSummary (Maybe UTCTime) Source #

Indicates when the transform job was last modified.

transformJobSummary_transformEndTime :: Lens' TransformJobSummary (Maybe UTCTime) Source #

Indicates when the transform job ends on compute instances. For successful jobs and stopped jobs, this is the exact time recorded after the results are uploaded. For failed jobs, this is when Amazon SageMaker detected that the job failed.

transformJobSummary_transformJobName :: Lens' TransformJobSummary Text Source #

The name of the transform job.

transformJobSummary_transformJobArn :: Lens' TransformJobSummary Text Source #

The Amazon Resource Name (ARN) of the transform job.

transformJobSummary_creationTime :: Lens' TransformJobSummary UTCTime Source #

A timestamp that shows when the transform Job was created.

transformJobSummary_transformJobStatus :: Lens' TransformJobSummary TransformJobStatus Source #

The status of the transform job.

TransformOutput

data TransformOutput Source #

Describes the results of a transform job.

See: newTransformOutput smart constructor.

Constructors

TransformOutput' 

Fields

  • accept :: Maybe Text

    The MIME type used to specify the output data. Amazon SageMaker uses the MIME type with each http call to transfer data from the transform job.

  • assembleWith :: Maybe AssemblyType

    Defines how to assemble the results of the transform job as a single S3 object. Choose a format that is most convenient to you. To concatenate the results in binary format, specify None. To add a newline character at the end of every transformed record, specify Line.

  • kmsKeyId :: Maybe Text

    The Amazon Web Services Key Management Service (Amazon Web Services KMS) key that Amazon SageMaker uses to encrypt the model artifacts at rest using Amazon S3 server-side encryption. The KmsKeyId can be any of the following formats:

    • Key ID: 1234abcd-12ab-34cd-56ef-1234567890ab
    • Key ARN: arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab
    • Alias name: alias/ExampleAlias
    • Alias name ARN: arn:aws:kms:us-west-2:111122223333:alias/ExampleAlias

    If you don't provide a KMS key ID, Amazon SageMaker uses the default KMS key for Amazon S3 for your role's account. For more information, see KMS-Managed Encryption Keys in the Amazon Simple Storage Service Developer Guide.

    The KMS key policy must grant permission to the IAM role that you specify in your CreateModel request. For more information, see Using Key Policies in Amazon Web Services KMS in the Amazon Web Services Key Management Service Developer Guide.

  • s3OutputPath :: Text

    The Amazon S3 path where you want Amazon SageMaker to store the results of the transform job. For example, s3://bucket-name/key-name-prefix.

    For every S3 object used as input for the transform job, batch transform stores the transformed data with an .out suffix in a corresponding subfolder in the location in the output prefix. For example, for the input data stored at s3://bucket-name/input-name-prefix/dataset01/data.csv, batch transform stores the transformed data at s3://bucket-name/output-name-prefix/input-name-prefix/data.csv.out. Batch transform doesn't upload partially processed objects. For an input S3 object that contains multiple records, it creates an .out file only if the transform job succeeds on the entire file. When the input contains multiple S3 objects, the batch transform job processes the listed S3 objects and uploads only the output for successfully processed objects. If any object fails in the transform job batch transform marks the job as failed to prompt investigation.

Instances

Instances details
FromJSON TransformOutput Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TransformOutput

Methods

parseJSON :: Value -> Parser TransformOutput #

parseJSONList :: Value -> Parser [TransformOutput] #

ToJSON TransformOutput Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TransformOutput

Methods

toJSON :: TransformOutput -> Value #

toEncoding :: TransformOutput -> Encoding #

toJSONList :: [TransformOutput] -> Value #

toEncodingList :: [TransformOutput] -> Encoding #

Generic TransformOutput Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TransformOutput

Associated Types

type Rep TransformOutput :: Type -> Type #

Methods

from :: TransformOutput -> Rep TransformOutput x #

to :: Rep TransformOutput x -> TransformOutput #

Read TransformOutput Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TransformOutput

Methods

readsPrec :: Int -> ReadS TransformOutput #

readList :: ReadS [TransformOutput] #

readPrec :: ReadPrec TransformOutput #

readListPrec :: ReadPrec [TransformOutput] #

Show TransformOutput Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TransformOutput

Methods

showsPrec :: Int -> TransformOutput -> ShowS #

show :: TransformOutput -> String #

showList :: [TransformOutput] -> ShowS #

NFData TransformOutput Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TransformOutput

Methods

rnf :: TransformOutput -> () #

Eq TransformOutput Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TransformOutput

Methods

(==) :: TransformOutput -> TransformOutput -> Bool #

(/=) :: TransformOutput -> TransformOutput -> Bool #

Hashable TransformOutput Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TransformOutput

Methods

hashWithSalt :: Int -> TransformOutput -> Int #

hash :: TransformOutput -> Int #

type Rep TransformOutput Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TransformOutput

type Rep TransformOutput = D1 ('MetaData "TransformOutput" "Amazonka.SageMaker.Types.TransformOutput" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "TransformOutput'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "accept") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "assembleWith") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe AssemblyType))) :*: (S1 ('MetaSel ('Just "kmsKeyId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "s3OutputPath") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text))))

newTransformOutput Source #

Arguments

:: Text

$sel:s3OutputPath:TransformOutput'

-> TransformOutput 

Create a value of TransformOutput with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:accept:TransformOutput', transformOutput_accept - The MIME type used to specify the output data. Amazon SageMaker uses the MIME type with each http call to transfer data from the transform job.

$sel:assembleWith:TransformOutput', transformOutput_assembleWith - Defines how to assemble the results of the transform job as a single S3 object. Choose a format that is most convenient to you. To concatenate the results in binary format, specify None. To add a newline character at the end of every transformed record, specify Line.

$sel:kmsKeyId:TransformOutput', transformOutput_kmsKeyId - The Amazon Web Services Key Management Service (Amazon Web Services KMS) key that Amazon SageMaker uses to encrypt the model artifacts at rest using Amazon S3 server-side encryption. The KmsKeyId can be any of the following formats:

  • Key ID: 1234abcd-12ab-34cd-56ef-1234567890ab
  • Key ARN: arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab
  • Alias name: alias/ExampleAlias
  • Alias name ARN: arn:aws:kms:us-west-2:111122223333:alias/ExampleAlias

If you don't provide a KMS key ID, Amazon SageMaker uses the default KMS key for Amazon S3 for your role's account. For more information, see KMS-Managed Encryption Keys in the Amazon Simple Storage Service Developer Guide.

The KMS key policy must grant permission to the IAM role that you specify in your CreateModel request. For more information, see Using Key Policies in Amazon Web Services KMS in the Amazon Web Services Key Management Service Developer Guide.

$sel:s3OutputPath:TransformOutput', transformOutput_s3OutputPath - The Amazon S3 path where you want Amazon SageMaker to store the results of the transform job. For example, s3://bucket-name/key-name-prefix.

For every S3 object used as input for the transform job, batch transform stores the transformed data with an .out suffix in a corresponding subfolder in the location in the output prefix. For example, for the input data stored at s3://bucket-name/input-name-prefix/dataset01/data.csv, batch transform stores the transformed data at s3://bucket-name/output-name-prefix/input-name-prefix/data.csv.out. Batch transform doesn't upload partially processed objects. For an input S3 object that contains multiple records, it creates an .out file only if the transform job succeeds on the entire file. When the input contains multiple S3 objects, the batch transform job processes the listed S3 objects and uploads only the output for successfully processed objects. If any object fails in the transform job batch transform marks the job as failed to prompt investigation.

transformOutput_accept :: Lens' TransformOutput (Maybe Text) Source #

The MIME type used to specify the output data. Amazon SageMaker uses the MIME type with each http call to transfer data from the transform job.

transformOutput_assembleWith :: Lens' TransformOutput (Maybe AssemblyType) Source #

Defines how to assemble the results of the transform job as a single S3 object. Choose a format that is most convenient to you. To concatenate the results in binary format, specify None. To add a newline character at the end of every transformed record, specify Line.

transformOutput_kmsKeyId :: Lens' TransformOutput (Maybe Text) Source #

The Amazon Web Services Key Management Service (Amazon Web Services KMS) key that Amazon SageMaker uses to encrypt the model artifacts at rest using Amazon S3 server-side encryption. The KmsKeyId can be any of the following formats:

  • Key ID: 1234abcd-12ab-34cd-56ef-1234567890ab
  • Key ARN: arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab
  • Alias name: alias/ExampleAlias
  • Alias name ARN: arn:aws:kms:us-west-2:111122223333:alias/ExampleAlias

If you don't provide a KMS key ID, Amazon SageMaker uses the default KMS key for Amazon S3 for your role's account. For more information, see KMS-Managed Encryption Keys in the Amazon Simple Storage Service Developer Guide.

The KMS key policy must grant permission to the IAM role that you specify in your CreateModel request. For more information, see Using Key Policies in Amazon Web Services KMS in the Amazon Web Services Key Management Service Developer Guide.

transformOutput_s3OutputPath :: Lens' TransformOutput Text Source #

The Amazon S3 path where you want Amazon SageMaker to store the results of the transform job. For example, s3://bucket-name/key-name-prefix.

For every S3 object used as input for the transform job, batch transform stores the transformed data with an .out suffix in a corresponding subfolder in the location in the output prefix. For example, for the input data stored at s3://bucket-name/input-name-prefix/dataset01/data.csv, batch transform stores the transformed data at s3://bucket-name/output-name-prefix/input-name-prefix/data.csv.out. Batch transform doesn't upload partially processed objects. For an input S3 object that contains multiple records, it creates an .out file only if the transform job succeeds on the entire file. When the input contains multiple S3 objects, the batch transform job processes the listed S3 objects and uploads only the output for successfully processed objects. If any object fails in the transform job batch transform marks the job as failed to prompt investigation.

TransformResources

data TransformResources Source #

Describes the resources, including ML instance types and ML instance count, to use for transform job.

See: newTransformResources smart constructor.

Constructors

TransformResources' 

Fields

  • volumeKmsKeyId :: Maybe Text

    The Amazon Web Services Key Management Service (Amazon Web Services KMS) key that Amazon SageMaker uses to encrypt model data on the storage volume attached to the ML compute instance(s) that run the batch transform job.

    Certain Nitro-based instances include local storage, dependent on the instance type. Local storage volumes are encrypted using a hardware module on the instance. You can't request a VolumeKmsKeyId when using an instance type with local storage.

    For a list of instance types that support local instance storage, see Instance Store Volumes.

    For more information about local instance storage encryption, see SSD Instance Store Volumes.

    The VolumeKmsKeyId can be any of the following formats:

    • Key ID: 1234abcd-12ab-34cd-56ef-1234567890ab
    • Key ARN: arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab
    • Alias name: alias/ExampleAlias
    • Alias name ARN: arn:aws:kms:us-west-2:111122223333:alias/ExampleAlias
  • instanceType :: TransformInstanceType

    The ML compute instance type for the transform job. If you are using built-in algorithms to transform moderately sized datasets, we recommend using ml.m4.xlarge or ml.m5.largeinstance types.

  • instanceCount :: Natural

    The number of ML compute instances to use in the transform job. The default value is 1, and the maximum is 100. For distributed transform jobs, specify a value greater than 1.

Instances

Instances details
FromJSON TransformResources Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TransformResources

Methods

parseJSON :: Value -> Parser TransformResources #

parseJSONList :: Value -> Parser [TransformResources] #

ToJSON TransformResources Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TransformResources

Methods

toJSON :: TransformResources -> Value #

toEncoding :: TransformResources -> Encoding #

toJSONList :: [TransformResources] -> Value #

toEncodingList :: [TransformResources] -> Encoding #

Generic TransformResources Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TransformResources

Associated Types

type Rep TransformResources :: Type -> Type #

Methods

from :: TransformResources -> Rep TransformResources x #

to :: Rep TransformResources x -> TransformResources #

Read TransformResources Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TransformResources

Methods

readsPrec :: Int -> ReadS TransformResources #

readList :: ReadS [TransformResources] #

readPrec :: ReadPrec TransformResources #

readListPrec :: ReadPrec [TransformResources] #

Show TransformResources Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TransformResources

Methods

showsPrec :: Int -> TransformResources -> ShowS #

show :: TransformResources -> String #

showList :: [TransformResources] -> ShowS #

NFData TransformResources Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TransformResources

Methods

rnf :: TransformResources -> () #

Eq TransformResources Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TransformResources

Methods

(==) :: TransformResources -> TransformResources -> Bool #

(/=) :: TransformResources -> TransformResources -> Bool #

Hashable TransformResources Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TransformResources

Methods

hashWithSalt :: Int -> TransformResources -> Int #

hash :: TransformResources -> Int #

type Rep TransformResources Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TransformResources

type Rep TransformResources = D1 ('MetaData "TransformResources" "Amazonka.SageMaker.Types.TransformResources" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "TransformResources'" 'PrefixI 'True) (S1 ('MetaSel ('Just "volumeKmsKeyId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: (S1 ('MetaSel ('Just "instanceType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 TransformInstanceType) :*: S1 ('MetaSel ('Just "instanceCount") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Natural))))

newTransformResources Source #

Arguments

:: TransformInstanceType

$sel:instanceType:TransformResources'

-> Natural

$sel:instanceCount:TransformResources'

-> TransformResources 

Create a value of TransformResources with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:volumeKmsKeyId:TransformResources', transformResources_volumeKmsKeyId - The Amazon Web Services Key Management Service (Amazon Web Services KMS) key that Amazon SageMaker uses to encrypt model data on the storage volume attached to the ML compute instance(s) that run the batch transform job.

Certain Nitro-based instances include local storage, dependent on the instance type. Local storage volumes are encrypted using a hardware module on the instance. You can't request a VolumeKmsKeyId when using an instance type with local storage.

For a list of instance types that support local instance storage, see Instance Store Volumes.

For more information about local instance storage encryption, see SSD Instance Store Volumes.

The VolumeKmsKeyId can be any of the following formats:

  • Key ID: 1234abcd-12ab-34cd-56ef-1234567890ab
  • Key ARN: arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab
  • Alias name: alias/ExampleAlias
  • Alias name ARN: arn:aws:kms:us-west-2:111122223333:alias/ExampleAlias

$sel:instanceType:TransformResources', transformResources_instanceType - The ML compute instance type for the transform job. If you are using built-in algorithms to transform moderately sized datasets, we recommend using ml.m4.xlarge or ml.m5.largeinstance types.

$sel:instanceCount:TransformResources', transformResources_instanceCount - The number of ML compute instances to use in the transform job. The default value is 1, and the maximum is 100. For distributed transform jobs, specify a value greater than 1.

transformResources_volumeKmsKeyId :: Lens' TransformResources (Maybe Text) Source #

The Amazon Web Services Key Management Service (Amazon Web Services KMS) key that Amazon SageMaker uses to encrypt model data on the storage volume attached to the ML compute instance(s) that run the batch transform job.

Certain Nitro-based instances include local storage, dependent on the instance type. Local storage volumes are encrypted using a hardware module on the instance. You can't request a VolumeKmsKeyId when using an instance type with local storage.

For a list of instance types that support local instance storage, see Instance Store Volumes.

For more information about local instance storage encryption, see SSD Instance Store Volumes.

The VolumeKmsKeyId can be any of the following formats:

  • Key ID: 1234abcd-12ab-34cd-56ef-1234567890ab
  • Key ARN: arn:aws:kms:us-west-2:111122223333:key/1234abcd-12ab-34cd-56ef-1234567890ab
  • Alias name: alias/ExampleAlias
  • Alias name ARN: arn:aws:kms:us-west-2:111122223333:alias/ExampleAlias

transformResources_instanceType :: Lens' TransformResources TransformInstanceType Source #

The ML compute instance type for the transform job. If you are using built-in algorithms to transform moderately sized datasets, we recommend using ml.m4.xlarge or ml.m5.largeinstance types.

transformResources_instanceCount :: Lens' TransformResources Natural Source #

The number of ML compute instances to use in the transform job. The default value is 1, and the maximum is 100. For distributed transform jobs, specify a value greater than 1.

TransformS3DataSource

data TransformS3DataSource Source #

Describes the S3 data source.

See: newTransformS3DataSource smart constructor.

Constructors

TransformS3DataSource' 

Fields

  • s3DataType :: S3DataType

    If you choose S3Prefix, S3Uri identifies a key name prefix. Amazon SageMaker uses all objects with the specified key name prefix for batch transform.

    If you choose ManifestFile, S3Uri identifies an object that is a manifest file containing a list of object keys that you want Amazon SageMaker to use for batch transform.

    The following values are compatible: ManifestFile, S3Prefix

    The following value is not compatible: AugmentedManifestFile

  • s3Uri :: Text

    Depending on the value specified for the S3DataType, identifies either a key name prefix or a manifest. For example:

    • A key name prefix might look like this: s3://bucketname/exampleprefix.

    • A manifest might look like this: s3://bucketname/example.manifest

      The manifest is an S3 object which is a JSON file with the following format:

      [ {"prefix": "s3://customer_bucket/some/prefix/"},
      "relative/path/to/custdata-1",
      "relative/path/custdata-2",
      ...
      "relative/path/custdata-N"
      ]

      The preceding JSON matches the following S3Uris:

      s3://customer_bucket/some/prefix/relative/path/to/custdata-1
      s3://customer_bucket/some/prefix/relative/path/custdata-2
      ...
      s3://customer_bucket/some/prefix/relative/path/custdata-N

      The complete set of S3Uris in this manifest constitutes the input data for the channel for this datasource. The object that each S3Uris points to must be readable by the IAM role that Amazon SageMaker uses to perform tasks on your behalf.

Instances

Instances details
FromJSON TransformS3DataSource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TransformS3DataSource

Methods

parseJSON :: Value -> Parser TransformS3DataSource #

parseJSONList :: Value -> Parser [TransformS3DataSource] #

ToJSON TransformS3DataSource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TransformS3DataSource

Methods

toJSON :: TransformS3DataSource -> Value #

toEncoding :: TransformS3DataSource -> Encoding #

toJSONList :: [TransformS3DataSource] -> Value #

toEncodingList :: [TransformS3DataSource] -> Encoding #

Generic TransformS3DataSource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TransformS3DataSource

Associated Types

type Rep TransformS3DataSource :: Type -> Type #

Methods

from :: TransformS3DataSource -> Rep TransformS3DataSource x #

to :: Rep TransformS3DataSource x -> TransformS3DataSource #

Read TransformS3DataSource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TransformS3DataSource

Methods

readsPrec :: Int -> ReadS TransformS3DataSource #

readList :: ReadS [TransformS3DataSource] #

readPrec :: ReadPrec TransformS3DataSource #

readListPrec :: ReadPrec [TransformS3DataSource] #

Show TransformS3DataSource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TransformS3DataSource

Methods

showsPrec :: Int -> TransformS3DataSource -> ShowS #

show :: TransformS3DataSource -> String #

showList :: [TransformS3DataSource] -> ShowS #

NFData TransformS3DataSource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TransformS3DataSource

Methods

rnf :: TransformS3DataSource -> () #

Eq TransformS3DataSource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TransformS3DataSource

Methods

(==) :: TransformS3DataSource -> TransformS3DataSource -> Bool #

(/=) :: TransformS3DataSource -> TransformS3DataSource -> Bool #

Hashable TransformS3DataSource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TransformS3DataSource

Methods

hashWithSalt :: Int -> TransformS3DataSource -> Int #

hash :: TransformS3DataSource -> Int #

type Rep TransformS3DataSource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TransformS3DataSource

type Rep TransformS3DataSource = D1 ('MetaData "TransformS3DataSource" "Amazonka.SageMaker.Types.TransformS3DataSource" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "TransformS3DataSource'" 'PrefixI 'True) (S1 ('MetaSel ('Just "s3DataType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 S3DataType) :*: S1 ('MetaSel ('Just "s3Uri") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))

newTransformS3DataSource Source #

Arguments

:: S3DataType

$sel:s3DataType:TransformS3DataSource'

-> Text

$sel:s3Uri:TransformS3DataSource'

-> TransformS3DataSource 

Create a value of TransformS3DataSource with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:s3DataType:TransformS3DataSource', transformS3DataSource_s3DataType - If you choose S3Prefix, S3Uri identifies a key name prefix. Amazon SageMaker uses all objects with the specified key name prefix for batch transform.

If you choose ManifestFile, S3Uri identifies an object that is a manifest file containing a list of object keys that you want Amazon SageMaker to use for batch transform.

The following values are compatible: ManifestFile, S3Prefix

The following value is not compatible: AugmentedManifestFile

$sel:s3Uri:TransformS3DataSource', transformS3DataSource_s3Uri - Depending on the value specified for the S3DataType, identifies either a key name prefix or a manifest. For example:

  • A key name prefix might look like this: s3://bucketname/exampleprefix.

  • A manifest might look like this: s3://bucketname/example.manifest

    The manifest is an S3 object which is a JSON file with the following format:

    [ {"prefix": "s3://customer_bucket/some/prefix/"},
    "relative/path/to/custdata-1",
    "relative/path/custdata-2",
    ...
    "relative/path/custdata-N"
    ]

    The preceding JSON matches the following S3Uris:

    s3://customer_bucket/some/prefix/relative/path/to/custdata-1
    s3://customer_bucket/some/prefix/relative/path/custdata-2
    ...
    s3://customer_bucket/some/prefix/relative/path/custdata-N

    The complete set of S3Uris in this manifest constitutes the input data for the channel for this datasource. The object that each S3Uris points to must be readable by the IAM role that Amazon SageMaker uses to perform tasks on your behalf.

transformS3DataSource_s3DataType :: Lens' TransformS3DataSource S3DataType Source #

If you choose S3Prefix, S3Uri identifies a key name prefix. Amazon SageMaker uses all objects with the specified key name prefix for batch transform.

If you choose ManifestFile, S3Uri identifies an object that is a manifest file containing a list of object keys that you want Amazon SageMaker to use for batch transform.

The following values are compatible: ManifestFile, S3Prefix

The following value is not compatible: AugmentedManifestFile

transformS3DataSource_s3Uri :: Lens' TransformS3DataSource Text Source #

Depending on the value specified for the S3DataType, identifies either a key name prefix or a manifest. For example:

  • A key name prefix might look like this: s3://bucketname/exampleprefix.

  • A manifest might look like this: s3://bucketname/example.manifest

    The manifest is an S3 object which is a JSON file with the following format:

    [ {"prefix": "s3://customer_bucket/some/prefix/"},
    "relative/path/to/custdata-1",
    "relative/path/custdata-2",
    ...
    "relative/path/custdata-N"
    ]

    The preceding JSON matches the following S3Uris:

    s3://customer_bucket/some/prefix/relative/path/to/custdata-1
    s3://customer_bucket/some/prefix/relative/path/custdata-2
    ...
    s3://customer_bucket/some/prefix/relative/path/custdata-N

    The complete set of S3Uris in this manifest constitutes the input data for the channel for this datasource. The object that each S3Uris points to must be readable by the IAM role that Amazon SageMaker uses to perform tasks on your behalf.

Trial

data Trial Source #

The properties of a trial as returned by the Search API.

See: newTrial smart constructor.

Constructors

Trial' 

Fields

Instances

Instances details
FromJSON Trial Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Trial

Methods

parseJSON :: Value -> Parser Trial #

parseJSONList :: Value -> Parser [Trial] #

Generic Trial Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Trial

Associated Types

type Rep Trial :: Type -> Type #

Methods

from :: Trial -> Rep Trial x #

to :: Rep Trial x -> Trial #

Read Trial Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Trial

Methods

readsPrec :: Int -> ReadS Trial #

readList :: ReadS [Trial] #

readPrec :: ReadPrec Trial #

readListPrec :: ReadPrec [Trial] #

Show Trial Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Trial

Methods

showsPrec :: Int -> Trial -> ShowS #

show :: Trial -> String #

showList :: [Trial] -> ShowS #

NFData Trial Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Trial

Methods

rnf :: Trial -> () #

Eq Trial Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Trial

Methods

(==) :: Trial -> Trial -> Bool #

(/=) :: Trial -> Trial -> Bool #

Hashable Trial Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Trial

Methods

hashWithSalt :: Int -> Trial -> Int #

hash :: Trial -> Int #

type Rep Trial Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Trial

type Rep Trial = D1 ('MetaData "Trial" "Amazonka.SageMaker.Types.Trial" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "Trial'" 'PrefixI 'True) (((S1 ('MetaSel ('Just "createdBy") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe UserContext)) :*: (S1 ('MetaSel ('Just "creationTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :*: S1 ('MetaSel ('Just "displayName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))) :*: (S1 ('MetaSel ('Just "experimentName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: (S1 ('MetaSel ('Just "lastModifiedBy") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe UserContext)) :*: S1 ('MetaSel ('Just "lastModifiedTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX))))) :*: ((S1 ('MetaSel ('Just "metadataProperties") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe MetadataProperties)) :*: (S1 ('MetaSel ('Just "source") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe TrialSource)) :*: S1 ('MetaSel ('Just "tags") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [Tag])))) :*: (S1 ('MetaSel ('Just "trialArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: (S1 ('MetaSel ('Just "trialComponentSummaries") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [TrialComponentSimpleSummary])) :*: S1 ('MetaSel ('Just "trialName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))))))

newTrial :: Trial Source #

Create a value of Trial with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

Trial, trial_createdBy - Who created the trial.

Trial, trial_creationTime - When the trial was created.

$sel:displayName:Trial', trial_displayName - The name of the trial as displayed. If DisplayName isn't specified, TrialName is displayed.

$sel:experimentName:Trial', trial_experimentName - The name of the experiment the trial is part of.

$sel:lastModifiedBy:Trial', trial_lastModifiedBy - Undocumented member.

$sel:lastModifiedTime:Trial', trial_lastModifiedTime - Who last modified the trial.

$sel:metadataProperties:Trial', trial_metadataProperties - Undocumented member.

$sel:source:Trial', trial_source - Undocumented member.

$sel:tags:Trial', trial_tags - The list of tags that are associated with the trial. You can use Search API to search on the tags.

$sel:trialArn:Trial', trial_trialArn - The Amazon Resource Name (ARN) of the trial.

$sel:trialComponentSummaries:Trial', trial_trialComponentSummaries - A list of the components associated with the trial. For each component, a summary of the component's properties is included.

$sel:trialName:Trial', trial_trialName - The name of the trial.

trial_createdBy :: Lens' Trial (Maybe UserContext) Source #

Who created the trial.

trial_creationTime :: Lens' Trial (Maybe UTCTime) Source #

When the trial was created.

trial_displayName :: Lens' Trial (Maybe Text) Source #

The name of the trial as displayed. If DisplayName isn't specified, TrialName is displayed.

trial_experimentName :: Lens' Trial (Maybe Text) Source #

The name of the experiment the trial is part of.

trial_lastModifiedBy :: Lens' Trial (Maybe UserContext) Source #

Undocumented member.

trial_lastModifiedTime :: Lens' Trial (Maybe UTCTime) Source #

Who last modified the trial.

trial_metadataProperties :: Lens' Trial (Maybe MetadataProperties) Source #

Undocumented member.

trial_source :: Lens' Trial (Maybe TrialSource) Source #

Undocumented member.

trial_tags :: Lens' Trial (Maybe [Tag]) Source #

The list of tags that are associated with the trial. You can use Search API to search on the tags.

trial_trialArn :: Lens' Trial (Maybe Text) Source #

The Amazon Resource Name (ARN) of the trial.

trial_trialComponentSummaries :: Lens' Trial (Maybe [TrialComponentSimpleSummary]) Source #

A list of the components associated with the trial. For each component, a summary of the component's properties is included.

trial_trialName :: Lens' Trial (Maybe Text) Source #

The name of the trial.

TrialComponent

data TrialComponent Source #

The properties of a trial component as returned by the Search API.

See: newTrialComponent smart constructor.

Constructors

TrialComponent' 

Fields

Instances

Instances details
FromJSON TrialComponent Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrialComponent

Methods

parseJSON :: Value -> Parser TrialComponent #

parseJSONList :: Value -> Parser [TrialComponent] #

Generic TrialComponent Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrialComponent

Associated Types

type Rep TrialComponent :: Type -> Type #

Methods

from :: TrialComponent -> Rep TrialComponent x #

to :: Rep TrialComponent x -> TrialComponent #

Read TrialComponent Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrialComponent

Methods

readsPrec :: Int -> ReadS TrialComponent #

readList :: ReadS [TrialComponent] #

readPrec :: ReadPrec TrialComponent #

readListPrec :: ReadPrec [TrialComponent] #

Show TrialComponent Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrialComponent

Methods

showsPrec :: Int -> TrialComponent -> ShowS #

show :: TrialComponent -> String #

showList :: [TrialComponent] -> ShowS #

NFData TrialComponent Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrialComponent

Methods

rnf :: TrialComponent -> () #

Eq TrialComponent Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrialComponent

Methods

(==) :: TrialComponent -> TrialComponent -> Bool #

(/=) :: TrialComponent -> TrialComponent -> Bool #

Hashable TrialComponent Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrialComponent

Methods

hashWithSalt :: Int -> TrialComponent -> Int #

hash :: TrialComponent -> Int #

type Rep TrialComponent Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrialComponent

type Rep TrialComponent = D1 ('MetaData "TrialComponent" "Amazonka.SageMaker.Types.TrialComponent" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "TrialComponent'" 'PrefixI 'True) ((((S1 ('MetaSel ('Just "createdBy") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe UserContext)) :*: S1 ('MetaSel ('Just "creationTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX))) :*: (S1 ('MetaSel ('Just "displayName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: (S1 ('MetaSel ('Just "endTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :*: S1 ('MetaSel ('Just "inputArtifacts") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe (HashMap Text TrialComponentArtifact)))))) :*: ((S1 ('MetaSel ('Just "lastModifiedBy") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe UserContext)) :*: S1 ('MetaSel ('Just "lastModifiedTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX))) :*: (S1 ('MetaSel ('Just "lineageGroupArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: (S1 ('MetaSel ('Just "metadataProperties") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe MetadataProperties)) :*: S1 ('MetaSel ('Just "metrics") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [TrialComponentMetricSummary])))))) :*: (((S1 ('MetaSel ('Just "outputArtifacts") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe (HashMap Text TrialComponentArtifact))) :*: S1 ('MetaSel ('Just "parameters") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe (HashMap Text TrialComponentParameterValue)))) :*: (S1 ('MetaSel ('Just "parents") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [Parent])) :*: (S1 ('MetaSel ('Just "runName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "source") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe TrialComponentSource))))) :*: ((S1 ('MetaSel ('Just "sourceDetail") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe TrialComponentSourceDetail)) :*: (S1 ('MetaSel ('Just "startTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :*: S1 ('MetaSel ('Just "status") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe TrialComponentStatus)))) :*: (S1 ('MetaSel ('Just "tags") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [Tag])) :*: (S1 ('MetaSel ('Just "trialComponentArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "trialComponentName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))))))

newTrialComponent :: TrialComponent Source #

Create a value of TrialComponent with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:createdBy:TrialComponent', trialComponent_createdBy - Who created the trial component.

$sel:creationTime:TrialComponent', trialComponent_creationTime - When the component was created.

$sel:displayName:TrialComponent', trialComponent_displayName - The name of the component as displayed. If DisplayName isn't specified, TrialComponentName is displayed.

$sel:endTime:TrialComponent', trialComponent_endTime - When the component ended.

$sel:inputArtifacts:TrialComponent', trialComponent_inputArtifacts - The input artifacts of the component.

$sel:lastModifiedBy:TrialComponent', trialComponent_lastModifiedBy - Undocumented member.

$sel:lastModifiedTime:TrialComponent', trialComponent_lastModifiedTime - When the component was last modified.

$sel:lineageGroupArn:TrialComponent', trialComponent_lineageGroupArn - The Amazon Resource Name (ARN) of the lineage group resource.

$sel:metadataProperties:TrialComponent', trialComponent_metadataProperties - Undocumented member.

$sel:metrics:TrialComponent', trialComponent_metrics - The metrics for the component.

$sel:outputArtifacts:TrialComponent', trialComponent_outputArtifacts - The output artifacts of the component.

$sel:parameters:TrialComponent', trialComponent_parameters - The hyperparameters of the component.

$sel:parents:TrialComponent', trialComponent_parents - An array of the parents of the component. A parent is a trial the component is associated with and the experiment the trial is part of. A component might not have any parents.

$sel:runName:TrialComponent', trialComponent_runName - The name of the experiment run.

$sel:source:TrialComponent', trialComponent_source - The Amazon Resource Name (ARN) and job type of the source of the component.

$sel:sourceDetail:TrialComponent', trialComponent_sourceDetail - Details of the source of the component.

$sel:startTime:TrialComponent', trialComponent_startTime - When the component started.

$sel:status:TrialComponent', trialComponent_status - Undocumented member.

$sel:tags:TrialComponent', trialComponent_tags - The list of tags that are associated with the component. You can use Search API to search on the tags.

$sel:trialComponentArn:TrialComponent', trialComponent_trialComponentArn - The Amazon Resource Name (ARN) of the trial component.

$sel:trialComponentName:TrialComponent', trialComponent_trialComponentName - The name of the trial component.

trialComponent_createdBy :: Lens' TrialComponent (Maybe UserContext) Source #

Who created the trial component.

trialComponent_creationTime :: Lens' TrialComponent (Maybe UTCTime) Source #

When the component was created.

trialComponent_displayName :: Lens' TrialComponent (Maybe Text) Source #

The name of the component as displayed. If DisplayName isn't specified, TrialComponentName is displayed.

trialComponent_endTime :: Lens' TrialComponent (Maybe UTCTime) Source #

When the component ended.

trialComponent_inputArtifacts :: Lens' TrialComponent (Maybe (HashMap Text TrialComponentArtifact)) Source #

The input artifacts of the component.

trialComponent_lastModifiedBy :: Lens' TrialComponent (Maybe UserContext) Source #

Undocumented member.

trialComponent_lastModifiedTime :: Lens' TrialComponent (Maybe UTCTime) Source #

When the component was last modified.

trialComponent_lineageGroupArn :: Lens' TrialComponent (Maybe Text) Source #

The Amazon Resource Name (ARN) of the lineage group resource.

trialComponent_metadataProperties :: Lens' TrialComponent (Maybe MetadataProperties) Source #

Undocumented member.

trialComponent_metrics :: Lens' TrialComponent (Maybe [TrialComponentMetricSummary]) Source #

The metrics for the component.

trialComponent_outputArtifacts :: Lens' TrialComponent (Maybe (HashMap Text TrialComponentArtifact)) Source #

The output artifacts of the component.

trialComponent_parameters :: Lens' TrialComponent (Maybe (HashMap Text TrialComponentParameterValue)) Source #

The hyperparameters of the component.

trialComponent_parents :: Lens' TrialComponent (Maybe [Parent]) Source #

An array of the parents of the component. A parent is a trial the component is associated with and the experiment the trial is part of. A component might not have any parents.

trialComponent_runName :: Lens' TrialComponent (Maybe Text) Source #

The name of the experiment run.

trialComponent_source :: Lens' TrialComponent (Maybe TrialComponentSource) Source #

The Amazon Resource Name (ARN) and job type of the source of the component.

trialComponent_sourceDetail :: Lens' TrialComponent (Maybe TrialComponentSourceDetail) Source #

Details of the source of the component.

trialComponent_startTime :: Lens' TrialComponent (Maybe UTCTime) Source #

When the component started.

trialComponent_status :: Lens' TrialComponent (Maybe TrialComponentStatus) Source #

Undocumented member.

trialComponent_tags :: Lens' TrialComponent (Maybe [Tag]) Source #

The list of tags that are associated with the component. You can use Search API to search on the tags.

trialComponent_trialComponentArn :: Lens' TrialComponent (Maybe Text) Source #

The Amazon Resource Name (ARN) of the trial component.

trialComponent_trialComponentName :: Lens' TrialComponent (Maybe Text) Source #

The name of the trial component.

TrialComponentArtifact

data TrialComponentArtifact Source #

Represents an input or output artifact of a trial component. You specify TrialComponentArtifact as part of the InputArtifacts and OutputArtifacts parameters in the CreateTrialComponent request.

Examples of input artifacts are datasets, algorithms, hyperparameters, source code, and instance types. Examples of output artifacts are metrics, snapshots, logs, and images.

See: newTrialComponentArtifact smart constructor.

Constructors

TrialComponentArtifact' 

Fields

  • mediaType :: Maybe Text

    The media type of the artifact, which indicates the type of data in the artifact file. The media type consists of a type and a subtype concatenated with a slash (/) character, for example, text/csv, image/jpeg, and s3/uri. The type specifies the category of the media. The subtype specifies the kind of data.

  • value :: Text

    The location of the artifact.

Instances

Instances details
FromJSON TrialComponentArtifact Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrialComponentArtifact

Methods

parseJSON :: Value -> Parser TrialComponentArtifact #

parseJSONList :: Value -> Parser [TrialComponentArtifact] #

ToJSON TrialComponentArtifact Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrialComponentArtifact

Methods

toJSON :: TrialComponentArtifact -> Value #

toEncoding :: TrialComponentArtifact -> Encoding #

toJSONList :: [TrialComponentArtifact] -> Value #

toEncodingList :: [TrialComponentArtifact] -> Encoding #

Generic TrialComponentArtifact Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrialComponentArtifact

Associated Types

type Rep TrialComponentArtifact :: Type -> Type #

Methods

from :: TrialComponentArtifact -> Rep TrialComponentArtifact x #

to :: Rep TrialComponentArtifact x -> TrialComponentArtifact #

Read TrialComponentArtifact Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrialComponentArtifact

Methods

readsPrec :: Int -> ReadS TrialComponentArtifact #

readList :: ReadS [TrialComponentArtifact] #

readPrec :: ReadPrec TrialComponentArtifact #

readListPrec :: ReadPrec [TrialComponentArtifact] #

Show TrialComponentArtifact Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrialComponentArtifact

Methods

showsPrec :: Int -> TrialComponentArtifact -> ShowS #

show :: TrialComponentArtifact -> String #

showList :: [TrialComponentArtifact] -> ShowS #

NFData TrialComponentArtifact Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrialComponentArtifact

Methods

rnf :: TrialComponentArtifact -> () #

Eq TrialComponentArtifact Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrialComponentArtifact

Methods

(==) :: TrialComponentArtifact -> TrialComponentArtifact -> Bool #

(/=) :: TrialComponentArtifact -> TrialComponentArtifact -> Bool #

Hashable TrialComponentArtifact Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrialComponentArtifact

Methods

hashWithSalt :: Int -> TrialComponentArtifact -> Int #

hash :: TrialComponentArtifact -> Int #

type Rep TrialComponentArtifact Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrialComponentArtifact

type Rep TrialComponentArtifact = D1 ('MetaData "TrialComponentArtifact" "Amazonka.SageMaker.Types.TrialComponentArtifact" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "TrialComponentArtifact'" 'PrefixI 'True) (S1 ('MetaSel ('Just "mediaType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "value") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))

newTrialComponentArtifact Source #

Arguments

:: Text

$sel:value:TrialComponentArtifact'

-> TrialComponentArtifact 

Create a value of TrialComponentArtifact with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:mediaType:TrialComponentArtifact', trialComponentArtifact_mediaType - The media type of the artifact, which indicates the type of data in the artifact file. The media type consists of a type and a subtype concatenated with a slash (/) character, for example, text/csv, image/jpeg, and s3/uri. The type specifies the category of the media. The subtype specifies the kind of data.

$sel:value:TrialComponentArtifact', trialComponentArtifact_value - The location of the artifact.

trialComponentArtifact_mediaType :: Lens' TrialComponentArtifact (Maybe Text) Source #

The media type of the artifact, which indicates the type of data in the artifact file. The media type consists of a type and a subtype concatenated with a slash (/) character, for example, text/csv, image/jpeg, and s3/uri. The type specifies the category of the media. The subtype specifies the kind of data.

trialComponentArtifact_value :: Lens' TrialComponentArtifact Text Source #

The location of the artifact.

TrialComponentMetricSummary

data TrialComponentMetricSummary Source #

A summary of the metrics of a trial component.

See: newTrialComponentMetricSummary smart constructor.

Constructors

TrialComponentMetricSummary' 

Fields

Instances

Instances details
FromJSON TrialComponentMetricSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrialComponentMetricSummary

Methods

parseJSON :: Value -> Parser TrialComponentMetricSummary #

parseJSONList :: Value -> Parser [TrialComponentMetricSummary] #

Generic TrialComponentMetricSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrialComponentMetricSummary

Associated Types

type Rep TrialComponentMetricSummary :: Type -> Type #

Methods

from :: TrialComponentMetricSummary -> Rep TrialComponentMetricSummary x #

to :: Rep TrialComponentMetricSummary x -> TrialComponentMetricSummary #

Read TrialComponentMetricSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrialComponentMetricSummary

Methods

readsPrec :: Int -> ReadS TrialComponentMetricSummary #

readList :: ReadS [TrialComponentMetricSummary] #

readPrec :: ReadPrec TrialComponentMetricSummary #

readListPrec :: ReadPrec [TrialComponentMetricSummary] #

Show TrialComponentMetricSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrialComponentMetricSummary

Methods

showsPrec :: Int -> TrialComponentMetricSummary -> ShowS #

show :: TrialComponentMetricSummary -> String #

showList :: [TrialComponentMetricSummary] -> ShowS #

NFData TrialComponentMetricSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrialComponentMetricSummary

Methods

rnf :: TrialComponentMetricSummary -> () #

Eq TrialComponentMetricSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrialComponentMetricSummary

Methods

(==) :: TrialComponentMetricSummary -> TrialComponentMetricSummary -> Bool #

(/=) :: TrialComponentMetricSummary -> TrialComponentMetricSummary -> Bool #

Hashable TrialComponentMetricSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrialComponentMetricSummary

Methods

hashWithSalt :: Int -> TrialComponentMetricSummary -> Int #

hash :: TrialComponentMetricSummary -> Int #

type Rep TrialComponentMetricSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrialComponentMetricSummary

type Rep TrialComponentMetricSummary = D1 ('MetaData "TrialComponentMetricSummary" "Amazonka.SageMaker.Types.TrialComponentMetricSummary" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "TrialComponentMetricSummary'" 'PrefixI 'True) (((S1 ('MetaSel ('Just "avg") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double)) :*: S1 ('MetaSel ('Just "count") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Int))) :*: (S1 ('MetaSel ('Just "last") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double)) :*: S1 ('MetaSel ('Just "max") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double)))) :*: ((S1 ('MetaSel ('Just "metricName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "min") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double))) :*: (S1 ('MetaSel ('Just "sourceArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: (S1 ('MetaSel ('Just "stdDev") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double)) :*: S1 ('MetaSel ('Just "timeStamp") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)))))))

newTrialComponentMetricSummary :: TrialComponentMetricSummary Source #

Create a value of TrialComponentMetricSummary with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:avg:TrialComponentMetricSummary', trialComponentMetricSummary_avg - The average value of the metric.

$sel:count:TrialComponentMetricSummary', trialComponentMetricSummary_count - The number of samples used to generate the metric.

$sel:last:TrialComponentMetricSummary', trialComponentMetricSummary_last - The most recent value of the metric.

$sel:max:TrialComponentMetricSummary', trialComponentMetricSummary_max - The maximum value of the metric.

$sel:metricName:TrialComponentMetricSummary', trialComponentMetricSummary_metricName - The name of the metric.

$sel:min:TrialComponentMetricSummary', trialComponentMetricSummary_min - The minimum value of the metric.

$sel:sourceArn:TrialComponentMetricSummary', trialComponentMetricSummary_sourceArn - The Amazon Resource Name (ARN) of the source.

$sel:stdDev:TrialComponentMetricSummary', trialComponentMetricSummary_stdDev - The standard deviation of the metric.

$sel:timeStamp:TrialComponentMetricSummary', trialComponentMetricSummary_timeStamp - When the metric was last updated.

trialComponentMetricSummary_avg :: Lens' TrialComponentMetricSummary (Maybe Double) Source #

The average value of the metric.

trialComponentMetricSummary_count :: Lens' TrialComponentMetricSummary (Maybe Int) Source #

The number of samples used to generate the metric.

trialComponentMetricSummary_last :: Lens' TrialComponentMetricSummary (Maybe Double) Source #

The most recent value of the metric.

trialComponentMetricSummary_max :: Lens' TrialComponentMetricSummary (Maybe Double) Source #

The maximum value of the metric.

trialComponentMetricSummary_metricName :: Lens' TrialComponentMetricSummary (Maybe Text) Source #

The name of the metric.

trialComponentMetricSummary_min :: Lens' TrialComponentMetricSummary (Maybe Double) Source #

The minimum value of the metric.

trialComponentMetricSummary_sourceArn :: Lens' TrialComponentMetricSummary (Maybe Text) Source #

The Amazon Resource Name (ARN) of the source.

trialComponentMetricSummary_stdDev :: Lens' TrialComponentMetricSummary (Maybe Double) Source #

The standard deviation of the metric.

trialComponentMetricSummary_timeStamp :: Lens' TrialComponentMetricSummary (Maybe UTCTime) Source #

When the metric was last updated.

TrialComponentParameterValue

data TrialComponentParameterValue Source #

The value of a hyperparameter. Only one of NumberValue or StringValue can be specified.

This object is specified in the CreateTrialComponent request.

See: newTrialComponentParameterValue smart constructor.

Constructors

TrialComponentParameterValue' 

Fields

  • numberValue :: Maybe Double

    The numeric value of a numeric hyperparameter. If you specify a value for this parameter, you can't specify the StringValue parameter.

  • stringValue :: Maybe Text

    The string value of a categorical hyperparameter. If you specify a value for this parameter, you can't specify the NumberValue parameter.

Instances

Instances details
FromJSON TrialComponentParameterValue Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrialComponentParameterValue

Methods

parseJSON :: Value -> Parser TrialComponentParameterValue #

parseJSONList :: Value -> Parser [TrialComponentParameterValue] #

ToJSON TrialComponentParameterValue Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrialComponentParameterValue

Methods

toJSON :: TrialComponentParameterValue -> Value #

toEncoding :: TrialComponentParameterValue -> Encoding #

toJSONList :: [TrialComponentParameterValue] -> Value #

toEncodingList :: [TrialComponentParameterValue] -> Encoding #

Generic TrialComponentParameterValue Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrialComponentParameterValue

Associated Types

type Rep TrialComponentParameterValue :: Type -> Type #

Methods

from :: TrialComponentParameterValue -> Rep TrialComponentParameterValue x #

to :: Rep TrialComponentParameterValue x -> TrialComponentParameterValue #

Read TrialComponentParameterValue Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrialComponentParameterValue

Methods

readsPrec :: Int -> ReadS TrialComponentParameterValue #

readList :: ReadS [TrialComponentParameterValue] #

readPrec :: ReadPrec TrialComponentParameterValue #

readListPrec :: ReadPrec [TrialComponentParameterValue] #

Show TrialComponentParameterValue Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrialComponentParameterValue

Methods

showsPrec :: Int -> TrialComponentParameterValue -> ShowS #

show :: TrialComponentParameterValue -> String #

showList :: [TrialComponentParameterValue] -> ShowS #

NFData TrialComponentParameterValue Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrialComponentParameterValue

Methods

rnf :: TrialComponentParameterValue -> () #

Eq TrialComponentParameterValue Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrialComponentParameterValue

Methods

(==) :: TrialComponentParameterValue -> TrialComponentParameterValue -> Bool #

(/=) :: TrialComponentParameterValue -> TrialComponentParameterValue -> Bool #

Hashable TrialComponentParameterValue Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrialComponentParameterValue

Methods

hashWithSalt :: Int -> TrialComponentParameterValue -> Int #

hash :: TrialComponentParameterValue -> Int #

type Rep TrialComponentParameterValue Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrialComponentParameterValue

type Rep TrialComponentParameterValue = D1 ('MetaData "TrialComponentParameterValue" "Amazonka.SageMaker.Types.TrialComponentParameterValue" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "TrialComponentParameterValue'" 'PrefixI 'True) (S1 ('MetaSel ('Just "numberValue") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double)) :*: S1 ('MetaSel ('Just "stringValue") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))

newTrialComponentParameterValue :: TrialComponentParameterValue Source #

Create a value of TrialComponentParameterValue with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:numberValue:TrialComponentParameterValue', trialComponentParameterValue_numberValue - The numeric value of a numeric hyperparameter. If you specify a value for this parameter, you can't specify the StringValue parameter.

$sel:stringValue:TrialComponentParameterValue', trialComponentParameterValue_stringValue - The string value of a categorical hyperparameter. If you specify a value for this parameter, you can't specify the NumberValue parameter.

trialComponentParameterValue_numberValue :: Lens' TrialComponentParameterValue (Maybe Double) Source #

The numeric value of a numeric hyperparameter. If you specify a value for this parameter, you can't specify the StringValue parameter.

trialComponentParameterValue_stringValue :: Lens' TrialComponentParameterValue (Maybe Text) Source #

The string value of a categorical hyperparameter. If you specify a value for this parameter, you can't specify the NumberValue parameter.

TrialComponentSimpleSummary

data TrialComponentSimpleSummary Source #

A short summary of a trial component.

See: newTrialComponentSimpleSummary smart constructor.

Constructors

TrialComponentSimpleSummary' 

Fields

Instances

Instances details
FromJSON TrialComponentSimpleSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrialComponentSimpleSummary

Methods

parseJSON :: Value -> Parser TrialComponentSimpleSummary #

parseJSONList :: Value -> Parser [TrialComponentSimpleSummary] #

Generic TrialComponentSimpleSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrialComponentSimpleSummary

Associated Types

type Rep TrialComponentSimpleSummary :: Type -> Type #

Methods

from :: TrialComponentSimpleSummary -> Rep TrialComponentSimpleSummary x #

to :: Rep TrialComponentSimpleSummary x -> TrialComponentSimpleSummary #

Read TrialComponentSimpleSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrialComponentSimpleSummary

Methods

readsPrec :: Int -> ReadS TrialComponentSimpleSummary #

readList :: ReadS [TrialComponentSimpleSummary] #

readPrec :: ReadPrec TrialComponentSimpleSummary #

readListPrec :: ReadPrec [TrialComponentSimpleSummary] #

Show TrialComponentSimpleSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrialComponentSimpleSummary

Methods

showsPrec :: Int -> TrialComponentSimpleSummary -> ShowS #

show :: TrialComponentSimpleSummary -> String #

showList :: [TrialComponentSimpleSummary] -> ShowS #

NFData TrialComponentSimpleSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrialComponentSimpleSummary

Methods

rnf :: TrialComponentSimpleSummary -> () #

Eq TrialComponentSimpleSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrialComponentSimpleSummary

Methods

(==) :: TrialComponentSimpleSummary -> TrialComponentSimpleSummary -> Bool #

(/=) :: TrialComponentSimpleSummary -> TrialComponentSimpleSummary -> Bool #

Hashable TrialComponentSimpleSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrialComponentSimpleSummary

Methods

hashWithSalt :: Int -> TrialComponentSimpleSummary -> Int #

hash :: TrialComponentSimpleSummary -> Int #

type Rep TrialComponentSimpleSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrialComponentSimpleSummary

type Rep TrialComponentSimpleSummary = D1 ('MetaData "TrialComponentSimpleSummary" "Amazonka.SageMaker.Types.TrialComponentSimpleSummary" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "TrialComponentSimpleSummary'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "createdBy") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe UserContext)) :*: S1 ('MetaSel ('Just "creationTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX))) :*: (S1 ('MetaSel ('Just "trialComponentArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: (S1 ('MetaSel ('Just "trialComponentName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "trialComponentSource") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe TrialComponentSource))))))

newTrialComponentSimpleSummary :: TrialComponentSimpleSummary Source #

Create a value of TrialComponentSimpleSummary with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:createdBy:TrialComponentSimpleSummary', trialComponentSimpleSummary_createdBy - Undocumented member.

$sel:creationTime:TrialComponentSimpleSummary', trialComponentSimpleSummary_creationTime - When the component was created.

$sel:trialComponentArn:TrialComponentSimpleSummary', trialComponentSimpleSummary_trialComponentArn - The Amazon Resource Name (ARN) of the trial component.

$sel:trialComponentName:TrialComponentSimpleSummary', trialComponentSimpleSummary_trialComponentName - The name of the trial component.

$sel:trialComponentSource:TrialComponentSimpleSummary', trialComponentSimpleSummary_trialComponentSource - Undocumented member.

trialComponentSimpleSummary_createdBy :: Lens' TrialComponentSimpleSummary (Maybe UserContext) Source #

Undocumented member.

trialComponentSimpleSummary_creationTime :: Lens' TrialComponentSimpleSummary (Maybe UTCTime) Source #

When the component was created.

trialComponentSimpleSummary_trialComponentArn :: Lens' TrialComponentSimpleSummary (Maybe Text) Source #

The Amazon Resource Name (ARN) of the trial component.

trialComponentSimpleSummary_trialComponentName :: Lens' TrialComponentSimpleSummary (Maybe Text) Source #

The name of the trial component.

trialComponentSimpleSummary_trialComponentSource :: Lens' TrialComponentSimpleSummary (Maybe TrialComponentSource) Source #

Undocumented member.

TrialComponentSource

data TrialComponentSource Source #

The Amazon Resource Name (ARN) and job type of the source of a trial component.

See: newTrialComponentSource smart constructor.

Constructors

TrialComponentSource' 

Fields

Instances

Instances details
FromJSON TrialComponentSource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrialComponentSource

Methods

parseJSON :: Value -> Parser TrialComponentSource #

parseJSONList :: Value -> Parser [TrialComponentSource] #

Generic TrialComponentSource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrialComponentSource

Associated Types

type Rep TrialComponentSource :: Type -> Type #

Methods

from :: TrialComponentSource -> Rep TrialComponentSource x #

to :: Rep TrialComponentSource x -> TrialComponentSource #

Read TrialComponentSource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrialComponentSource

Methods

readsPrec :: Int -> ReadS TrialComponentSource #

readList :: ReadS [TrialComponentSource] #

readPrec :: ReadPrec TrialComponentSource #

readListPrec :: ReadPrec [TrialComponentSource] #

Show TrialComponentSource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrialComponentSource

Methods

showsPrec :: Int -> TrialComponentSource -> ShowS #

show :: TrialComponentSource -> String #

showList :: [TrialComponentSource] -> ShowS #

NFData TrialComponentSource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrialComponentSource

Methods

rnf :: TrialComponentSource -> () #

Eq TrialComponentSource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrialComponentSource

Methods

(==) :: TrialComponentSource -> TrialComponentSource -> Bool #

(/=) :: TrialComponentSource -> TrialComponentSource -> Bool #

Hashable TrialComponentSource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrialComponentSource

Methods

hashWithSalt :: Int -> TrialComponentSource -> Int #

hash :: TrialComponentSource -> Int #

type Rep TrialComponentSource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrialComponentSource

type Rep TrialComponentSource = D1 ('MetaData "TrialComponentSource" "Amazonka.SageMaker.Types.TrialComponentSource" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "TrialComponentSource'" 'PrefixI 'True) (S1 ('MetaSel ('Just "sourceType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "sourceArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))

newTrialComponentSource Source #

Arguments

:: Text

$sel:sourceArn:TrialComponentSource'

-> TrialComponentSource 

Create a value of TrialComponentSource with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:sourceType:TrialComponentSource', trialComponentSource_sourceType - The source job type.

$sel:sourceArn:TrialComponentSource', trialComponentSource_sourceArn - The source Amazon Resource Name (ARN).

trialComponentSource_sourceType :: Lens' TrialComponentSource (Maybe Text) Source #

The source job type.

trialComponentSource_sourceArn :: Lens' TrialComponentSource Text Source #

The source Amazon Resource Name (ARN).

TrialComponentSourceDetail

data TrialComponentSourceDetail Source #

Detailed information about the source of a trial component. Either ProcessingJob or TrainingJob is returned.

See: newTrialComponentSourceDetail smart constructor.

Constructors

TrialComponentSourceDetail' 

Fields

Instances

Instances details
FromJSON TrialComponentSourceDetail Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrialComponentSourceDetail

Methods

parseJSON :: Value -> Parser TrialComponentSourceDetail #

parseJSONList :: Value -> Parser [TrialComponentSourceDetail] #

Generic TrialComponentSourceDetail Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrialComponentSourceDetail

Associated Types

type Rep TrialComponentSourceDetail :: Type -> Type #

Methods

from :: TrialComponentSourceDetail -> Rep TrialComponentSourceDetail x #

to :: Rep TrialComponentSourceDetail x -> TrialComponentSourceDetail #

Read TrialComponentSourceDetail Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrialComponentSourceDetail

Methods

readsPrec :: Int -> ReadS TrialComponentSourceDetail #

readList :: ReadS [TrialComponentSourceDetail] #

readPrec :: ReadPrec TrialComponentSourceDetail #

readListPrec :: ReadPrec [TrialComponentSourceDetail] #

Show TrialComponentSourceDetail Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrialComponentSourceDetail

Methods

showsPrec :: Int -> TrialComponentSourceDetail -> ShowS #

show :: TrialComponentSourceDetail -> String #

showList :: [TrialComponentSourceDetail] -> ShowS #

NFData TrialComponentSourceDetail Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrialComponentSourceDetail

Methods

rnf :: TrialComponentSourceDetail -> () #

Eq TrialComponentSourceDetail Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrialComponentSourceDetail

Methods

(==) :: TrialComponentSourceDetail -> TrialComponentSourceDetail -> Bool #

(/=) :: TrialComponentSourceDetail -> TrialComponentSourceDetail -> Bool #

Hashable TrialComponentSourceDetail Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrialComponentSourceDetail

Methods

hashWithSalt :: Int -> TrialComponentSourceDetail -> Int #

hash :: TrialComponentSourceDetail -> Int #

type Rep TrialComponentSourceDetail Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrialComponentSourceDetail

type Rep TrialComponentSourceDetail = D1 ('MetaData "TrialComponentSourceDetail" "Amazonka.SageMaker.Types.TrialComponentSourceDetail" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "TrialComponentSourceDetail'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "processingJob") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ProcessingJob)) :*: S1 ('MetaSel ('Just "sourceArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))) :*: (S1 ('MetaSel ('Just "trainingJob") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe TrainingJob)) :*: S1 ('MetaSel ('Just "transformJob") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe TransformJob)))))

newTrialComponentSourceDetail :: TrialComponentSourceDetail Source #

Create a value of TrialComponentSourceDetail with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:processingJob:TrialComponentSourceDetail', trialComponentSourceDetail_processingJob - Information about a processing job that's the source of a trial component.

$sel:sourceArn:TrialComponentSourceDetail', trialComponentSourceDetail_sourceArn - The Amazon Resource Name (ARN) of the source.

$sel:trainingJob:TrialComponentSourceDetail', trialComponentSourceDetail_trainingJob - Information about a training job that's the source of a trial component.

$sel:transformJob:TrialComponentSourceDetail', trialComponentSourceDetail_transformJob - Information about a transform job that's the source of a trial component.

trialComponentSourceDetail_processingJob :: Lens' TrialComponentSourceDetail (Maybe ProcessingJob) Source #

Information about a processing job that's the source of a trial component.

trialComponentSourceDetail_sourceArn :: Lens' TrialComponentSourceDetail (Maybe Text) Source #

The Amazon Resource Name (ARN) of the source.

trialComponentSourceDetail_trainingJob :: Lens' TrialComponentSourceDetail (Maybe TrainingJob) Source #

Information about a training job that's the source of a trial component.

trialComponentSourceDetail_transformJob :: Lens' TrialComponentSourceDetail (Maybe TransformJob) Source #

Information about a transform job that's the source of a trial component.

TrialComponentStatus

data TrialComponentStatus Source #

The status of the trial component.

See: newTrialComponentStatus smart constructor.

Constructors

TrialComponentStatus' 

Fields

Instances

Instances details
FromJSON TrialComponentStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrialComponentStatus

Methods

parseJSON :: Value -> Parser TrialComponentStatus #

parseJSONList :: Value -> Parser [TrialComponentStatus] #

ToJSON TrialComponentStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrialComponentStatus

Methods

toJSON :: TrialComponentStatus -> Value #

toEncoding :: TrialComponentStatus -> Encoding #

toJSONList :: [TrialComponentStatus] -> Value #

toEncodingList :: [TrialComponentStatus] -> Encoding #

Generic TrialComponentStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrialComponentStatus

Associated Types

type Rep TrialComponentStatus :: Type -> Type #

Methods

from :: TrialComponentStatus -> Rep TrialComponentStatus x #

to :: Rep TrialComponentStatus x -> TrialComponentStatus #

Read TrialComponentStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrialComponentStatus

Methods

readsPrec :: Int -> ReadS TrialComponentStatus #

readList :: ReadS [TrialComponentStatus] #

readPrec :: ReadPrec TrialComponentStatus #

readListPrec :: ReadPrec [TrialComponentStatus] #

Show TrialComponentStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrialComponentStatus

Methods

showsPrec :: Int -> TrialComponentStatus -> ShowS #

show :: TrialComponentStatus -> String #

showList :: [TrialComponentStatus] -> ShowS #

NFData TrialComponentStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrialComponentStatus

Methods

rnf :: TrialComponentStatus -> () #

Eq TrialComponentStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrialComponentStatus

Methods

(==) :: TrialComponentStatus -> TrialComponentStatus -> Bool #

(/=) :: TrialComponentStatus -> TrialComponentStatus -> Bool #

Hashable TrialComponentStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrialComponentStatus

Methods

hashWithSalt :: Int -> TrialComponentStatus -> Int #

hash :: TrialComponentStatus -> Int #

type Rep TrialComponentStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrialComponentStatus

type Rep TrialComponentStatus = D1 ('MetaData "TrialComponentStatus" "Amazonka.SageMaker.Types.TrialComponentStatus" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "TrialComponentStatus'" 'PrefixI 'True) (S1 ('MetaSel ('Just "message") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "primaryStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe TrialComponentPrimaryStatus))))

newTrialComponentStatus :: TrialComponentStatus Source #

Create a value of TrialComponentStatus with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:message:TrialComponentStatus', trialComponentStatus_message - If the component failed, a message describing why.

$sel:primaryStatus:TrialComponentStatus', trialComponentStatus_primaryStatus - The status of the trial component.

trialComponentStatus_message :: Lens' TrialComponentStatus (Maybe Text) Source #

If the component failed, a message describing why.

trialComponentStatus_primaryStatus :: Lens' TrialComponentStatus (Maybe TrialComponentPrimaryStatus) Source #

The status of the trial component.

TrialComponentSummary

data TrialComponentSummary Source #

A summary of the properties of a trial component. To get all the properties, call the DescribeTrialComponent API and provide the TrialComponentName.

See: newTrialComponentSummary smart constructor.

Constructors

TrialComponentSummary' 

Fields

Instances

Instances details
FromJSON TrialComponentSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrialComponentSummary

Methods

parseJSON :: Value -> Parser TrialComponentSummary #

parseJSONList :: Value -> Parser [TrialComponentSummary] #

Generic TrialComponentSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrialComponentSummary

Associated Types

type Rep TrialComponentSummary :: Type -> Type #

Methods

from :: TrialComponentSummary -> Rep TrialComponentSummary x #

to :: Rep TrialComponentSummary x -> TrialComponentSummary #

Read TrialComponentSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrialComponentSummary

Methods

readsPrec :: Int -> ReadS TrialComponentSummary #

readList :: ReadS [TrialComponentSummary] #

readPrec :: ReadPrec TrialComponentSummary #

readListPrec :: ReadPrec [TrialComponentSummary] #

Show TrialComponentSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrialComponentSummary

Methods

showsPrec :: Int -> TrialComponentSummary -> ShowS #

show :: TrialComponentSummary -> String #

showList :: [TrialComponentSummary] -> ShowS #

NFData TrialComponentSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrialComponentSummary

Methods

rnf :: TrialComponentSummary -> () #

Eq TrialComponentSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrialComponentSummary

Methods

(==) :: TrialComponentSummary -> TrialComponentSummary -> Bool #

(/=) :: TrialComponentSummary -> TrialComponentSummary -> Bool #

Hashable TrialComponentSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrialComponentSummary

Methods

hashWithSalt :: Int -> TrialComponentSummary -> Int #

hash :: TrialComponentSummary -> Int #

type Rep TrialComponentSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrialComponentSummary

type Rep TrialComponentSummary = D1 ('MetaData "TrialComponentSummary" "Amazonka.SageMaker.Types.TrialComponentSummary" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "TrialComponentSummary'" 'PrefixI 'True) (((S1 ('MetaSel ('Just "createdBy") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe UserContext)) :*: S1 ('MetaSel ('Just "creationTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX))) :*: (S1 ('MetaSel ('Just "displayName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: (S1 ('MetaSel ('Just "endTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :*: S1 ('MetaSel ('Just "lastModifiedBy") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe UserContext))))) :*: ((S1 ('MetaSel ('Just "lastModifiedTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :*: (S1 ('MetaSel ('Just "startTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :*: S1 ('MetaSel ('Just "status") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe TrialComponentStatus)))) :*: (S1 ('MetaSel ('Just "trialComponentArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: (S1 ('MetaSel ('Just "trialComponentName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "trialComponentSource") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe TrialComponentSource)))))))

newTrialComponentSummary :: TrialComponentSummary Source #

Create a value of TrialComponentSummary with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:createdBy:TrialComponentSummary', trialComponentSummary_createdBy - Who created the trial component.

$sel:creationTime:TrialComponentSummary', trialComponentSummary_creationTime - When the component was created.

$sel:displayName:TrialComponentSummary', trialComponentSummary_displayName - The name of the component as displayed. If DisplayName isn't specified, TrialComponentName is displayed.

$sel:endTime:TrialComponentSummary', trialComponentSummary_endTime - When the component ended.

$sel:lastModifiedBy:TrialComponentSummary', trialComponentSummary_lastModifiedBy - Who last modified the component.

$sel:lastModifiedTime:TrialComponentSummary', trialComponentSummary_lastModifiedTime - When the component was last modified.

$sel:startTime:TrialComponentSummary', trialComponentSummary_startTime - When the component started.

$sel:status:TrialComponentSummary', trialComponentSummary_status - The status of the component. States include:

  • InProgress
  • Completed
  • Failed

$sel:trialComponentArn:TrialComponentSummary', trialComponentSummary_trialComponentArn - The Amazon Resource Name (ARN) of the trial component.

$sel:trialComponentName:TrialComponentSummary', trialComponentSummary_trialComponentName - The name of the trial component.

$sel:trialComponentSource:TrialComponentSummary', trialComponentSummary_trialComponentSource - Undocumented member.

trialComponentSummary_createdBy :: Lens' TrialComponentSummary (Maybe UserContext) Source #

Who created the trial component.

trialComponentSummary_creationTime :: Lens' TrialComponentSummary (Maybe UTCTime) Source #

When the component was created.

trialComponentSummary_displayName :: Lens' TrialComponentSummary (Maybe Text) Source #

The name of the component as displayed. If DisplayName isn't specified, TrialComponentName is displayed.

trialComponentSummary_endTime :: Lens' TrialComponentSummary (Maybe UTCTime) Source #

When the component ended.

trialComponentSummary_lastModifiedBy :: Lens' TrialComponentSummary (Maybe UserContext) Source #

Who last modified the component.

trialComponentSummary_lastModifiedTime :: Lens' TrialComponentSummary (Maybe UTCTime) Source #

When the component was last modified.

trialComponentSummary_startTime :: Lens' TrialComponentSummary (Maybe UTCTime) Source #

When the component started.

trialComponentSummary_status :: Lens' TrialComponentSummary (Maybe TrialComponentStatus) Source #

The status of the component. States include:

  • InProgress
  • Completed
  • Failed

trialComponentSummary_trialComponentArn :: Lens' TrialComponentSummary (Maybe Text) Source #

The Amazon Resource Name (ARN) of the trial component.

trialComponentSummary_trialComponentName :: Lens' TrialComponentSummary (Maybe Text) Source #

The name of the trial component.

trialComponentSummary_trialComponentSource :: Lens' TrialComponentSummary (Maybe TrialComponentSource) Source #

Undocumented member.

TrialSource

data TrialSource Source #

The source of the trial.

See: newTrialSource smart constructor.

Constructors

TrialSource' 

Fields

Instances

Instances details
FromJSON TrialSource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrialSource

Methods

parseJSON :: Value -> Parser TrialSource #

parseJSONList :: Value -> Parser [TrialSource] #

Generic TrialSource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrialSource

Associated Types

type Rep TrialSource :: Type -> Type #

Methods

from :: TrialSource -> Rep TrialSource x #

to :: Rep TrialSource x -> TrialSource #

Read TrialSource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrialSource

Methods

readsPrec :: Int -> ReadS TrialSource #

readList :: ReadS [TrialSource] #

readPrec :: ReadPrec TrialSource #

readListPrec :: ReadPrec [TrialSource] #

Show TrialSource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrialSource

Methods

showsPrec :: Int -> TrialSource -> ShowS #

show :: TrialSource -> String #

showList :: [TrialSource] -> ShowS #

NFData TrialSource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrialSource

Methods

rnf :: TrialSource -> () #

Eq TrialSource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrialSource

Methods

(==) :: TrialSource -> TrialSource -> Bool #

(/=) :: TrialSource -> TrialSource -> Bool #

Hashable TrialSource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrialSource

Methods

hashWithSalt :: Int -> TrialSource -> Int #

hash :: TrialSource -> Int #

type Rep TrialSource Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrialSource

type Rep TrialSource = D1 ('MetaData "TrialSource" "Amazonka.SageMaker.Types.TrialSource" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "TrialSource'" 'PrefixI 'True) (S1 ('MetaSel ('Just "sourceType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "sourceArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))

newTrialSource Source #

Arguments

:: Text

$sel:sourceArn:TrialSource'

-> TrialSource 

Create a value of TrialSource with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:sourceType:TrialSource', trialSource_sourceType - The source job type.

$sel:sourceArn:TrialSource', trialSource_sourceArn - The Amazon Resource Name (ARN) of the source.

trialSource_sourceType :: Lens' TrialSource (Maybe Text) Source #

The source job type.

trialSource_sourceArn :: Lens' TrialSource Text Source #

The Amazon Resource Name (ARN) of the source.

TrialSummary

data TrialSummary Source #

A summary of the properties of a trial. To get the complete set of properties, call the DescribeTrial API and provide the TrialName.

See: newTrialSummary smart constructor.

Constructors

TrialSummary' 

Fields

Instances

Instances details
FromJSON TrialSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrialSummary

Methods

parseJSON :: Value -> Parser TrialSummary #

parseJSONList :: Value -> Parser [TrialSummary] #

Generic TrialSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrialSummary

Associated Types

type Rep TrialSummary :: Type -> Type #

Methods

from :: TrialSummary -> Rep TrialSummary x #

to :: Rep TrialSummary x -> TrialSummary #

Read TrialSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrialSummary

Methods

readsPrec :: Int -> ReadS TrialSummary #

readList :: ReadS [TrialSummary] #

readPrec :: ReadPrec TrialSummary #

readListPrec :: ReadPrec [TrialSummary] #

Show TrialSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrialSummary

Methods

showsPrec :: Int -> TrialSummary -> ShowS #

show :: TrialSummary -> String #

showList :: [TrialSummary] -> ShowS #

NFData TrialSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrialSummary

Methods

rnf :: TrialSummary -> () #

Eq TrialSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrialSummary

Methods

(==) :: TrialSummary -> TrialSummary -> Bool #

(/=) :: TrialSummary -> TrialSummary -> Bool #

Hashable TrialSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrialSummary

Methods

hashWithSalt :: Int -> TrialSummary -> Int #

hash :: TrialSummary -> Int #

type Rep TrialSummary Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TrialSummary

type Rep TrialSummary = D1 ('MetaData "TrialSummary" "Amazonka.SageMaker.Types.TrialSummary" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "TrialSummary'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "creationTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :*: (S1 ('MetaSel ('Just "displayName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "lastModifiedTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)))) :*: (S1 ('MetaSel ('Just "trialArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: (S1 ('MetaSel ('Just "trialName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "trialSource") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe TrialSource))))))

newTrialSummary :: TrialSummary Source #

Create a value of TrialSummary with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:creationTime:TrialSummary', trialSummary_creationTime - When the trial was created.

$sel:displayName:TrialSummary', trialSummary_displayName - The name of the trial as displayed. If DisplayName isn't specified, TrialName is displayed.

$sel:lastModifiedTime:TrialSummary', trialSummary_lastModifiedTime - When the trial was last modified.

$sel:trialArn:TrialSummary', trialSummary_trialArn - The Amazon Resource Name (ARN) of the trial.

$sel:trialName:TrialSummary', trialSummary_trialName - The name of the trial.

$sel:trialSource:TrialSummary', trialSummary_trialSource - Undocumented member.

trialSummary_creationTime :: Lens' TrialSummary (Maybe UTCTime) Source #

When the trial was created.

trialSummary_displayName :: Lens' TrialSummary (Maybe Text) Source #

The name of the trial as displayed. If DisplayName isn't specified, TrialName is displayed.

trialSummary_lastModifiedTime :: Lens' TrialSummary (Maybe UTCTime) Source #

When the trial was last modified.

trialSummary_trialArn :: Lens' TrialSummary (Maybe Text) Source #

The Amazon Resource Name (ARN) of the trial.

trialSummary_trialName :: Lens' TrialSummary (Maybe Text) Source #

The name of the trial.

trialSummary_trialSource :: Lens' TrialSummary (Maybe TrialSource) Source #

Undocumented member.

TuningJobCompletionCriteria

data TuningJobCompletionCriteria Source #

The job completion criteria.

See: newTuningJobCompletionCriteria smart constructor.

Constructors

TuningJobCompletionCriteria' 

Fields

Instances

Instances details
FromJSON TuningJobCompletionCriteria Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TuningJobCompletionCriteria

Methods

parseJSON :: Value -> Parser TuningJobCompletionCriteria #

parseJSONList :: Value -> Parser [TuningJobCompletionCriteria] #

ToJSON TuningJobCompletionCriteria Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TuningJobCompletionCriteria

Methods

toJSON :: TuningJobCompletionCriteria -> Value #

toEncoding :: TuningJobCompletionCriteria -> Encoding #

toJSONList :: [TuningJobCompletionCriteria] -> Value #

toEncodingList :: [TuningJobCompletionCriteria] -> Encoding #

Generic TuningJobCompletionCriteria Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TuningJobCompletionCriteria

Associated Types

type Rep TuningJobCompletionCriteria :: Type -> Type #

Methods

from :: TuningJobCompletionCriteria -> Rep TuningJobCompletionCriteria x #

to :: Rep TuningJobCompletionCriteria x -> TuningJobCompletionCriteria #

Read TuningJobCompletionCriteria Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TuningJobCompletionCriteria

Methods

readsPrec :: Int -> ReadS TuningJobCompletionCriteria #

readList :: ReadS [TuningJobCompletionCriteria] #

readPrec :: ReadPrec TuningJobCompletionCriteria #

readListPrec :: ReadPrec [TuningJobCompletionCriteria] #

Show TuningJobCompletionCriteria Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TuningJobCompletionCriteria

Methods

showsPrec :: Int -> TuningJobCompletionCriteria -> ShowS #

show :: TuningJobCompletionCriteria -> String #

showList :: [TuningJobCompletionCriteria] -> ShowS #

NFData TuningJobCompletionCriteria Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TuningJobCompletionCriteria

Methods

rnf :: TuningJobCompletionCriteria -> () #

Eq TuningJobCompletionCriteria Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TuningJobCompletionCriteria

Methods

(==) :: TuningJobCompletionCriteria -> TuningJobCompletionCriteria -> Bool #

(/=) :: TuningJobCompletionCriteria -> TuningJobCompletionCriteria -> Bool #

Hashable TuningJobCompletionCriteria Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TuningJobCompletionCriteria

Methods

hashWithSalt :: Int -> TuningJobCompletionCriteria -> Int #

hash :: TuningJobCompletionCriteria -> Int #

type Rep TuningJobCompletionCriteria Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TuningJobCompletionCriteria

type Rep TuningJobCompletionCriteria = D1 ('MetaData "TuningJobCompletionCriteria" "Amazonka.SageMaker.Types.TuningJobCompletionCriteria" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "TuningJobCompletionCriteria'" 'PrefixI 'True) (S1 ('MetaSel ('Just "targetObjectiveMetricValue") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Double)))

newTuningJobCompletionCriteria Source #

Arguments

:: Double

$sel:targetObjectiveMetricValue:TuningJobCompletionCriteria'

-> TuningJobCompletionCriteria 

Create a value of TuningJobCompletionCriteria with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:targetObjectiveMetricValue:TuningJobCompletionCriteria', tuningJobCompletionCriteria_targetObjectiveMetricValue - The value of the objective metric.

tuningJobCompletionCriteria_targetObjectiveMetricValue :: Lens' TuningJobCompletionCriteria Double Source #

The value of the objective metric.

TuningJobStepMetaData

data TuningJobStepMetaData Source #

Metadata for a tuning step.

See: newTuningJobStepMetaData smart constructor.

Constructors

TuningJobStepMetaData' 

Fields

  • arn :: Maybe Text

    The Amazon Resource Name (ARN) of the tuning job that was run by this step execution.

Instances

Instances details
FromJSON TuningJobStepMetaData Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TuningJobStepMetaData

Methods

parseJSON :: Value -> Parser TuningJobStepMetaData #

parseJSONList :: Value -> Parser [TuningJobStepMetaData] #

Generic TuningJobStepMetaData Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TuningJobStepMetaData

Associated Types

type Rep TuningJobStepMetaData :: Type -> Type #

Methods

from :: TuningJobStepMetaData -> Rep TuningJobStepMetaData x #

to :: Rep TuningJobStepMetaData x -> TuningJobStepMetaData #

Read TuningJobStepMetaData Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TuningJobStepMetaData

Methods

readsPrec :: Int -> ReadS TuningJobStepMetaData #

readList :: ReadS [TuningJobStepMetaData] #

readPrec :: ReadPrec TuningJobStepMetaData #

readListPrec :: ReadPrec [TuningJobStepMetaData] #

Show TuningJobStepMetaData Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TuningJobStepMetaData

Methods

showsPrec :: Int -> TuningJobStepMetaData -> ShowS #

show :: TuningJobStepMetaData -> String #

showList :: [TuningJobStepMetaData] -> ShowS #

NFData TuningJobStepMetaData Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TuningJobStepMetaData

Methods

rnf :: TuningJobStepMetaData -> () #

Eq TuningJobStepMetaData Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TuningJobStepMetaData

Methods

(==) :: TuningJobStepMetaData -> TuningJobStepMetaData -> Bool #

(/=) :: TuningJobStepMetaData -> TuningJobStepMetaData -> Bool #

Hashable TuningJobStepMetaData Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TuningJobStepMetaData

Methods

hashWithSalt :: Int -> TuningJobStepMetaData -> Int #

hash :: TuningJobStepMetaData -> Int #

type Rep TuningJobStepMetaData Source # 
Instance details

Defined in Amazonka.SageMaker.Types.TuningJobStepMetaData

type Rep TuningJobStepMetaData = D1 ('MetaData "TuningJobStepMetaData" "Amazonka.SageMaker.Types.TuningJobStepMetaData" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "TuningJobStepMetaData'" 'PrefixI 'True) (S1 ('MetaSel ('Just "arn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))

newTuningJobStepMetaData :: TuningJobStepMetaData Source #

Create a value of TuningJobStepMetaData with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:arn:TuningJobStepMetaData', tuningJobStepMetaData_arn - The Amazon Resource Name (ARN) of the tuning job that was run by this step execution.

tuningJobStepMetaData_arn :: Lens' TuningJobStepMetaData (Maybe Text) Source #

The Amazon Resource Name (ARN) of the tuning job that was run by this step execution.

USD

data USD Source #

Represents an amount of money in United States dollars.

See: newUSD smart constructor.

Constructors

USD' 

Fields

Instances

Instances details
FromJSON USD Source # 
Instance details

Defined in Amazonka.SageMaker.Types.USD

Methods

parseJSON :: Value -> Parser USD #

parseJSONList :: Value -> Parser [USD] #

ToJSON USD Source # 
Instance details

Defined in Amazonka.SageMaker.Types.USD

Methods

toJSON :: USD -> Value #

toEncoding :: USD -> Encoding #

toJSONList :: [USD] -> Value #

toEncodingList :: [USD] -> Encoding #

Generic USD Source # 
Instance details

Defined in Amazonka.SageMaker.Types.USD

Associated Types

type Rep USD :: Type -> Type #

Methods

from :: USD -> Rep USD x #

to :: Rep USD x -> USD #

Read USD Source # 
Instance details

Defined in Amazonka.SageMaker.Types.USD

Methods

readsPrec :: Int -> ReadS USD #

readList :: ReadS [USD] #

readPrec :: ReadPrec USD #

readListPrec :: ReadPrec [USD] #

Show USD Source # 
Instance details

Defined in Amazonka.SageMaker.Types.USD

Methods

showsPrec :: Int -> USD -> ShowS #

show :: USD -> String #

showList :: [USD] -> ShowS #

NFData USD Source # 
Instance details

Defined in Amazonka.SageMaker.Types.USD

Methods

rnf :: USD -> () #

Eq USD Source # 
Instance details

Defined in Amazonka.SageMaker.Types.USD

Methods

(==) :: USD -> USD -> Bool #

(/=) :: USD -> USD -> Bool #

Hashable USD Source # 
Instance details

Defined in Amazonka.SageMaker.Types.USD

Methods

hashWithSalt :: Int -> USD -> Int #

hash :: USD -> Int #

type Rep USD Source # 
Instance details

Defined in Amazonka.SageMaker.Types.USD

type Rep USD = D1 ('MetaData "USD" "Amazonka.SageMaker.Types.USD" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "USD'" 'PrefixI 'True) (S1 ('MetaSel ('Just "cents") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural)) :*: (S1 ('MetaSel ('Just "dollars") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural)) :*: S1 ('MetaSel ('Just "tenthFractionsOfACent") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural)))))

newUSD :: USD Source #

Create a value of USD with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:cents:USD', usd_cents - The fractional portion, in cents, of the amount.

$sel:dollars:USD', usd_dollars - The whole number of dollars in the amount.

$sel:tenthFractionsOfACent:USD', usd_tenthFractionsOfACent - Fractions of a cent, in tenths.

usd_cents :: Lens' USD (Maybe Natural) Source #

The fractional portion, in cents, of the amount.

usd_dollars :: Lens' USD (Maybe Natural) Source #

The whole number of dollars in the amount.

usd_tenthFractionsOfACent :: Lens' USD (Maybe Natural) Source #

Fractions of a cent, in tenths.

UiConfig

data UiConfig Source #

Provided configuration information for the worker UI for a labeling job. Provide either HumanTaskUiArn or UiTemplateS3Uri.

For named entity recognition, 3D point cloud and video frame labeling jobs, use HumanTaskUiArn.

For all other Ground Truth built-in task types and custom task types, use UiTemplateS3Uri to specify the location of a worker task template in Amazon S3.

See: newUiConfig smart constructor.

Constructors

UiConfig' 

Fields

  • humanTaskUiArn :: Maybe Text

    The ARN of the worker task template used to render the worker UI and tools for labeling job tasks.

    Use this parameter when you are creating a labeling job for named entity recognition, 3D point cloud and video frame labeling jobs. Use your labeling job task type to select one of the following ARNs and use it with this parameter when you create a labeling job. Replace aws-region with the Amazon Web Services Region you are creating your labeling job in. For example, replace aws-region with us-west-1 if you create a labeling job in US West (N. California).

    Named Entity Recognition

    Use the following HumanTaskUiArn for named entity recognition labeling jobs:

    arn:aws:sagemaker:aws-region:394669845002:human-task-ui/NamedEntityRecognition

    3D Point Cloud HumanTaskUiArns

    Use this HumanTaskUiArn for 3D point cloud object detection and 3D point cloud object detection adjustment labeling jobs.

    • arn:aws:sagemaker:aws-region:394669845002:human-task-ui/PointCloudObjectDetection

    Use this HumanTaskUiArn for 3D point cloud object tracking and 3D point cloud object tracking adjustment labeling jobs.

    • arn:aws:sagemaker:aws-region:394669845002:human-task-ui/PointCloudObjectTracking

    Use this HumanTaskUiArn for 3D point cloud semantic segmentation and 3D point cloud semantic segmentation adjustment labeling jobs.

    • arn:aws:sagemaker:aws-region:394669845002:human-task-ui/PointCloudSemanticSegmentation

    Video Frame HumanTaskUiArns

    Use this HumanTaskUiArn for video frame object detection and video frame object detection adjustment labeling jobs.

    • arn:aws:sagemaker:region:394669845002:human-task-ui/VideoObjectDetection

    Use this HumanTaskUiArn for video frame object tracking and video frame object tracking adjustment labeling jobs.

    • arn:aws:sagemaker:aws-region:394669845002:human-task-ui/VideoObjectTracking
  • uiTemplateS3Uri :: Maybe Text

    The Amazon S3 bucket location of the UI template, or worker task template. This is the template used to render the worker UI and tools for labeling job tasks. For more information about the contents of a UI template, see Creating Your Custom Labeling Task Template.

Instances

Instances details
FromJSON UiConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.UiConfig

Methods

parseJSON :: Value -> Parser UiConfig #

parseJSONList :: Value -> Parser [UiConfig] #

ToJSON UiConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.UiConfig

Methods

toJSON :: UiConfig -> Value #

toEncoding :: UiConfig -> Encoding #

toJSONList :: [UiConfig] -> Value #

toEncodingList :: [UiConfig] -> Encoding #

Generic UiConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.UiConfig

Associated Types

type Rep UiConfig :: Type -> Type #

Methods

from :: UiConfig -> Rep UiConfig x #

to :: Rep UiConfig x -> UiConfig #

Read UiConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.UiConfig

Methods

readsPrec :: Int -> ReadS UiConfig #

readList :: ReadS [UiConfig] #

readPrec :: ReadPrec UiConfig #

readListPrec :: ReadPrec [UiConfig] #

Show UiConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.UiConfig

Methods

showsPrec :: Int -> UiConfig -> ShowS #

show :: UiConfig -> String #

showList :: [UiConfig] -> ShowS #

NFData UiConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.UiConfig

Methods

rnf :: UiConfig -> () #

Eq UiConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.UiConfig

Methods

(==) :: UiConfig -> UiConfig -> Bool #

(/=) :: UiConfig -> UiConfig -> Bool #

Hashable UiConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.UiConfig

Methods

hashWithSalt :: Int -> UiConfig -> Int #

hash :: UiConfig -> Int #

type Rep UiConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.UiConfig

type Rep UiConfig = D1 ('MetaData "UiConfig" "Amazonka.SageMaker.Types.UiConfig" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "UiConfig'" 'PrefixI 'True) (S1 ('MetaSel ('Just "humanTaskUiArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "uiTemplateS3Uri") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))

newUiConfig :: UiConfig Source #

Create a value of UiConfig with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:humanTaskUiArn:UiConfig', uiConfig_humanTaskUiArn - The ARN of the worker task template used to render the worker UI and tools for labeling job tasks.

Use this parameter when you are creating a labeling job for named entity recognition, 3D point cloud and video frame labeling jobs. Use your labeling job task type to select one of the following ARNs and use it with this parameter when you create a labeling job. Replace aws-region with the Amazon Web Services Region you are creating your labeling job in. For example, replace aws-region with us-west-1 if you create a labeling job in US West (N. California).

Named Entity Recognition

Use the following HumanTaskUiArn for named entity recognition labeling jobs:

arn:aws:sagemaker:aws-region:394669845002:human-task-ui/NamedEntityRecognition

3D Point Cloud HumanTaskUiArns

Use this HumanTaskUiArn for 3D point cloud object detection and 3D point cloud object detection adjustment labeling jobs.

  • arn:aws:sagemaker:aws-region:394669845002:human-task-ui/PointCloudObjectDetection

Use this HumanTaskUiArn for 3D point cloud object tracking and 3D point cloud object tracking adjustment labeling jobs.

  • arn:aws:sagemaker:aws-region:394669845002:human-task-ui/PointCloudObjectTracking

Use this HumanTaskUiArn for 3D point cloud semantic segmentation and 3D point cloud semantic segmentation adjustment labeling jobs.

  • arn:aws:sagemaker:aws-region:394669845002:human-task-ui/PointCloudSemanticSegmentation

Video Frame HumanTaskUiArns

Use this HumanTaskUiArn for video frame object detection and video frame object detection adjustment labeling jobs.

  • arn:aws:sagemaker:region:394669845002:human-task-ui/VideoObjectDetection

Use this HumanTaskUiArn for video frame object tracking and video frame object tracking adjustment labeling jobs.

  • arn:aws:sagemaker:aws-region:394669845002:human-task-ui/VideoObjectTracking

$sel:uiTemplateS3Uri:UiConfig', uiConfig_uiTemplateS3Uri - The Amazon S3 bucket location of the UI template, or worker task template. This is the template used to render the worker UI and tools for labeling job tasks. For more information about the contents of a UI template, see Creating Your Custom Labeling Task Template.

uiConfig_humanTaskUiArn :: Lens' UiConfig (Maybe Text) Source #

The ARN of the worker task template used to render the worker UI and tools for labeling job tasks.

Use this parameter when you are creating a labeling job for named entity recognition, 3D point cloud and video frame labeling jobs. Use your labeling job task type to select one of the following ARNs and use it with this parameter when you create a labeling job. Replace aws-region with the Amazon Web Services Region you are creating your labeling job in. For example, replace aws-region with us-west-1 if you create a labeling job in US West (N. California).

Named Entity Recognition

Use the following HumanTaskUiArn for named entity recognition labeling jobs:

arn:aws:sagemaker:aws-region:394669845002:human-task-ui/NamedEntityRecognition

3D Point Cloud HumanTaskUiArns

Use this HumanTaskUiArn for 3D point cloud object detection and 3D point cloud object detection adjustment labeling jobs.

  • arn:aws:sagemaker:aws-region:394669845002:human-task-ui/PointCloudObjectDetection

Use this HumanTaskUiArn for 3D point cloud object tracking and 3D point cloud object tracking adjustment labeling jobs.

  • arn:aws:sagemaker:aws-region:394669845002:human-task-ui/PointCloudObjectTracking

Use this HumanTaskUiArn for 3D point cloud semantic segmentation and 3D point cloud semantic segmentation adjustment labeling jobs.

  • arn:aws:sagemaker:aws-region:394669845002:human-task-ui/PointCloudSemanticSegmentation

Video Frame HumanTaskUiArns

Use this HumanTaskUiArn for video frame object detection and video frame object detection adjustment labeling jobs.

  • arn:aws:sagemaker:region:394669845002:human-task-ui/VideoObjectDetection

Use this HumanTaskUiArn for video frame object tracking and video frame object tracking adjustment labeling jobs.

  • arn:aws:sagemaker:aws-region:394669845002:human-task-ui/VideoObjectTracking

uiConfig_uiTemplateS3Uri :: Lens' UiConfig (Maybe Text) Source #

The Amazon S3 bucket location of the UI template, or worker task template. This is the template used to render the worker UI and tools for labeling job tasks. For more information about the contents of a UI template, see Creating Your Custom Labeling Task Template.

UiTemplate

data UiTemplate Source #

The Liquid template for the worker user interface.

See: newUiTemplate smart constructor.

Constructors

UiTemplate' 

Fields

  • content :: Text

    The content of the Liquid template for the worker user interface.

Instances

Instances details
ToJSON UiTemplate Source # 
Instance details

Defined in Amazonka.SageMaker.Types.UiTemplate

Methods

toJSON :: UiTemplate -> Value #

toEncoding :: UiTemplate -> Encoding #

toJSONList :: [UiTemplate] -> Value #

toEncodingList :: [UiTemplate] -> Encoding #

Generic UiTemplate Source # 
Instance details

Defined in Amazonka.SageMaker.Types.UiTemplate

Associated Types

type Rep UiTemplate :: Type -> Type #

Methods

from :: UiTemplate -> Rep UiTemplate x #

to :: Rep UiTemplate x -> UiTemplate #

Read UiTemplate Source # 
Instance details

Defined in Amazonka.SageMaker.Types.UiTemplate

Methods

readsPrec :: Int -> ReadS UiTemplate #

readList :: ReadS [UiTemplate] #

readPrec :: ReadPrec UiTemplate #

readListPrec :: ReadPrec [UiTemplate] #

Show UiTemplate Source # 
Instance details

Defined in Amazonka.SageMaker.Types.UiTemplate

Methods

showsPrec :: Int -> UiTemplate -> ShowS #

show :: UiTemplate -> String #

showList :: [UiTemplate] -> ShowS #

NFData UiTemplate Source # 
Instance details

Defined in Amazonka.SageMaker.Types.UiTemplate

Methods

rnf :: UiTemplate -> () #

Eq UiTemplate Source # 
Instance details

Defined in Amazonka.SageMaker.Types.UiTemplate

Methods

(==) :: UiTemplate -> UiTemplate -> Bool #

(/=) :: UiTemplate -> UiTemplate -> Bool #

Hashable UiTemplate Source # 
Instance details

Defined in Amazonka.SageMaker.Types.UiTemplate

Methods

hashWithSalt :: Int -> UiTemplate -> Int #

hash :: UiTemplate -> Int #

type Rep UiTemplate Source # 
Instance details

Defined in Amazonka.SageMaker.Types.UiTemplate

type Rep UiTemplate = D1 ('MetaData "UiTemplate" "Amazonka.SageMaker.Types.UiTemplate" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "UiTemplate'" 'PrefixI 'True) (S1 ('MetaSel ('Just "content") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))

newUiTemplate Source #

Arguments

:: Text

$sel:content:UiTemplate'

-> UiTemplate 

Create a value of UiTemplate with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:content:UiTemplate', uiTemplate_content - The content of the Liquid template for the worker user interface.

uiTemplate_content :: Lens' UiTemplate Text Source #

The content of the Liquid template for the worker user interface.

UiTemplateInfo

data UiTemplateInfo Source #

Container for user interface template information.

See: newUiTemplateInfo smart constructor.

Constructors

UiTemplateInfo' 

Fields

Instances

Instances details
FromJSON UiTemplateInfo Source # 
Instance details

Defined in Amazonka.SageMaker.Types.UiTemplateInfo

Methods

parseJSON :: Value -> Parser UiTemplateInfo #

parseJSONList :: Value -> Parser [UiTemplateInfo] #

Generic UiTemplateInfo Source # 
Instance details

Defined in Amazonka.SageMaker.Types.UiTemplateInfo

Associated Types

type Rep UiTemplateInfo :: Type -> Type #

Methods

from :: UiTemplateInfo -> Rep UiTemplateInfo x #

to :: Rep UiTemplateInfo x -> UiTemplateInfo #

Read UiTemplateInfo Source # 
Instance details

Defined in Amazonka.SageMaker.Types.UiTemplateInfo

Methods

readsPrec :: Int -> ReadS UiTemplateInfo #

readList :: ReadS [UiTemplateInfo] #

readPrec :: ReadPrec UiTemplateInfo #

readListPrec :: ReadPrec [UiTemplateInfo] #

Show UiTemplateInfo Source # 
Instance details

Defined in Amazonka.SageMaker.Types.UiTemplateInfo

Methods

showsPrec :: Int -> UiTemplateInfo -> ShowS #

show :: UiTemplateInfo -> String #

showList :: [UiTemplateInfo] -> ShowS #

NFData UiTemplateInfo Source # 
Instance details

Defined in Amazonka.SageMaker.Types.UiTemplateInfo

Methods

rnf :: UiTemplateInfo -> () #

Eq UiTemplateInfo Source # 
Instance details

Defined in Amazonka.SageMaker.Types.UiTemplateInfo

Methods

(==) :: UiTemplateInfo -> UiTemplateInfo -> Bool #

(/=) :: UiTemplateInfo -> UiTemplateInfo -> Bool #

Hashable UiTemplateInfo Source # 
Instance details

Defined in Amazonka.SageMaker.Types.UiTemplateInfo

Methods

hashWithSalt :: Int -> UiTemplateInfo -> Int #

hash :: UiTemplateInfo -> Int #

type Rep UiTemplateInfo Source # 
Instance details

Defined in Amazonka.SageMaker.Types.UiTemplateInfo

type Rep UiTemplateInfo = D1 ('MetaData "UiTemplateInfo" "Amazonka.SageMaker.Types.UiTemplateInfo" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "UiTemplateInfo'" 'PrefixI 'True) (S1 ('MetaSel ('Just "contentSha256") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "url") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))

newUiTemplateInfo :: UiTemplateInfo Source #

Create a value of UiTemplateInfo with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:contentSha256:UiTemplateInfo', uiTemplateInfo_contentSha256 - The SHA-256 digest of the contents of the template.

$sel:url:UiTemplateInfo', uiTemplateInfo_url - The URL for the user interface template.

uiTemplateInfo_contentSha256 :: Lens' UiTemplateInfo (Maybe Text) Source #

The SHA-256 digest of the contents of the template.

uiTemplateInfo_url :: Lens' UiTemplateInfo (Maybe Text) Source #

The URL for the user interface template.

UserContext

data UserContext Source #

Information about the user who created or modified an experiment, trial, trial component, lineage group, project, or model card.

See: newUserContext smart constructor.

Constructors

UserContext' 

Fields

Instances

Instances details
FromJSON UserContext Source # 
Instance details

Defined in Amazonka.SageMaker.Types.UserContext

Methods

parseJSON :: Value -> Parser UserContext #

parseJSONList :: Value -> Parser [UserContext] #

Generic UserContext Source # 
Instance details

Defined in Amazonka.SageMaker.Types.UserContext

Associated Types

type Rep UserContext :: Type -> Type #

Methods

from :: UserContext -> Rep UserContext x #

to :: Rep UserContext x -> UserContext #

Read UserContext Source # 
Instance details

Defined in Amazonka.SageMaker.Types.UserContext

Methods

readsPrec :: Int -> ReadS UserContext #

readList :: ReadS [UserContext] #

readPrec :: ReadPrec UserContext #

readListPrec :: ReadPrec [UserContext] #

Show UserContext Source # 
Instance details

Defined in Amazonka.SageMaker.Types.UserContext

Methods

showsPrec :: Int -> UserContext -> ShowS #

show :: UserContext -> String #

showList :: [UserContext] -> ShowS #

NFData UserContext Source # 
Instance details

Defined in Amazonka.SageMaker.Types.UserContext

Methods

rnf :: UserContext -> () #

Eq UserContext Source # 
Instance details

Defined in Amazonka.SageMaker.Types.UserContext

Methods

(==) :: UserContext -> UserContext -> Bool #

(/=) :: UserContext -> UserContext -> Bool #

Hashable UserContext Source # 
Instance details

Defined in Amazonka.SageMaker.Types.UserContext

Methods

hashWithSalt :: Int -> UserContext -> Int #

hash :: UserContext -> Int #

type Rep UserContext Source # 
Instance details

Defined in Amazonka.SageMaker.Types.UserContext

type Rep UserContext = D1 ('MetaData "UserContext" "Amazonka.SageMaker.Types.UserContext" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "UserContext'" 'PrefixI 'True) (S1 ('MetaSel ('Just "domainId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: (S1 ('MetaSel ('Just "userProfileArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "userProfileName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))))

newUserContext :: UserContext Source #

Create a value of UserContext with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:domainId:UserContext', userContext_domainId - The domain associated with the user.

$sel:userProfileArn:UserContext', userContext_userProfileArn - The Amazon Resource Name (ARN) of the user's profile.

$sel:userProfileName:UserContext', userContext_userProfileName - The name of the user's profile.

userContext_domainId :: Lens' UserContext (Maybe Text) Source #

The domain associated with the user.

userContext_userProfileArn :: Lens' UserContext (Maybe Text) Source #

The Amazon Resource Name (ARN) of the user's profile.

userContext_userProfileName :: Lens' UserContext (Maybe Text) Source #

The name of the user's profile.

UserProfileDetails

data UserProfileDetails Source #

The user profile details.

See: newUserProfileDetails smart constructor.

Constructors

UserProfileDetails' 

Fields

Instances

Instances details
FromJSON UserProfileDetails Source # 
Instance details

Defined in Amazonka.SageMaker.Types.UserProfileDetails

Methods

parseJSON :: Value -> Parser UserProfileDetails #

parseJSONList :: Value -> Parser [UserProfileDetails] #

Generic UserProfileDetails Source # 
Instance details

Defined in Amazonka.SageMaker.Types.UserProfileDetails

Associated Types

type Rep UserProfileDetails :: Type -> Type #

Methods

from :: UserProfileDetails -> Rep UserProfileDetails x #

to :: Rep UserProfileDetails x -> UserProfileDetails #

Read UserProfileDetails Source # 
Instance details

Defined in Amazonka.SageMaker.Types.UserProfileDetails

Methods

readsPrec :: Int -> ReadS UserProfileDetails #

readList :: ReadS [UserProfileDetails] #

readPrec :: ReadPrec UserProfileDetails #

readListPrec :: ReadPrec [UserProfileDetails] #

Show UserProfileDetails Source # 
Instance details

Defined in Amazonka.SageMaker.Types.UserProfileDetails

Methods

showsPrec :: Int -> UserProfileDetails -> ShowS #

show :: UserProfileDetails -> String #

showList :: [UserProfileDetails] -> ShowS #

NFData UserProfileDetails Source # 
Instance details

Defined in Amazonka.SageMaker.Types.UserProfileDetails

Methods

rnf :: UserProfileDetails -> () #

Eq UserProfileDetails Source # 
Instance details

Defined in Amazonka.SageMaker.Types.UserProfileDetails

Methods

(==) :: UserProfileDetails -> UserProfileDetails -> Bool #

(/=) :: UserProfileDetails -> UserProfileDetails -> Bool #

Hashable UserProfileDetails Source # 
Instance details

Defined in Amazonka.SageMaker.Types.UserProfileDetails

Methods

hashWithSalt :: Int -> UserProfileDetails -> Int #

hash :: UserProfileDetails -> Int #

type Rep UserProfileDetails Source # 
Instance details

Defined in Amazonka.SageMaker.Types.UserProfileDetails

type Rep UserProfileDetails = D1 ('MetaData "UserProfileDetails" "Amazonka.SageMaker.Types.UserProfileDetails" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "UserProfileDetails'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "creationTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :*: S1 ('MetaSel ('Just "domainId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))) :*: (S1 ('MetaSel ('Just "lastModifiedTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :*: (S1 ('MetaSel ('Just "status") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe UserProfileStatus)) :*: S1 ('MetaSel ('Just "userProfileName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))))

newUserProfileDetails :: UserProfileDetails Source #

Create a value of UserProfileDetails with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:creationTime:UserProfileDetails', userProfileDetails_creationTime - The creation time.

$sel:domainId:UserProfileDetails', userProfileDetails_domainId - The domain ID.

$sel:lastModifiedTime:UserProfileDetails', userProfileDetails_lastModifiedTime - The last modified time.

$sel:status:UserProfileDetails', userProfileDetails_status - The status.

$sel:userProfileName:UserProfileDetails', userProfileDetails_userProfileName - The user profile name.

userProfileDetails_creationTime :: Lens' UserProfileDetails (Maybe UTCTime) Source #

The creation time.

userProfileDetails_domainId :: Lens' UserProfileDetails (Maybe Text) Source #

The domain ID.

userProfileDetails_lastModifiedTime :: Lens' UserProfileDetails (Maybe UTCTime) Source #

The last modified time.

userProfileDetails_status :: Lens' UserProfileDetails (Maybe UserProfileStatus) Source #

The status.

userProfileDetails_userProfileName :: Lens' UserProfileDetails (Maybe Text) Source #

The user profile name.

UserSettings

data UserSettings Source #

A collection of settings that apply to users of Amazon SageMaker Studio. These settings are specified when the CreateUserProfile API is called, and as DefaultUserSettings when the CreateDomain API is called.

SecurityGroups is aggregated when specified in both calls. For all other settings in UserSettings, the values specified in CreateUserProfile take precedence over those specified in CreateDomain.

See: newUserSettings smart constructor.

Constructors

UserSettings' 

Fields

Instances

Instances details
FromJSON UserSettings Source # 
Instance details

Defined in Amazonka.SageMaker.Types.UserSettings

Methods

parseJSON :: Value -> Parser UserSettings #

parseJSONList :: Value -> Parser [UserSettings] #

ToJSON UserSettings Source # 
Instance details

Defined in Amazonka.SageMaker.Types.UserSettings

Methods

toJSON :: UserSettings -> Value #

toEncoding :: UserSettings -> Encoding #

toJSONList :: [UserSettings] -> Value #

toEncodingList :: [UserSettings] -> Encoding #

Generic UserSettings Source # 
Instance details

Defined in Amazonka.SageMaker.Types.UserSettings

Associated Types

type Rep UserSettings :: Type -> Type #

Methods

from :: UserSettings -> Rep UserSettings x #

to :: Rep UserSettings x -> UserSettings #

Read UserSettings Source # 
Instance details

Defined in Amazonka.SageMaker.Types.UserSettings

Methods

readsPrec :: Int -> ReadS UserSettings #

readList :: ReadS [UserSettings] #

readPrec :: ReadPrec UserSettings #

readListPrec :: ReadPrec [UserSettings] #

Show UserSettings Source # 
Instance details

Defined in Amazonka.SageMaker.Types.UserSettings

Methods

showsPrec :: Int -> UserSettings -> ShowS #

show :: UserSettings -> String #

showList :: [UserSettings] -> ShowS #

NFData UserSettings Source # 
Instance details

Defined in Amazonka.SageMaker.Types.UserSettings

Methods

rnf :: UserSettings -> () #

Eq UserSettings Source # 
Instance details

Defined in Amazonka.SageMaker.Types.UserSettings

Methods

(==) :: UserSettings -> UserSettings -> Bool #

(/=) :: UserSettings -> UserSettings -> Bool #

Hashable UserSettings Source # 
Instance details

Defined in Amazonka.SageMaker.Types.UserSettings

Methods

hashWithSalt :: Int -> UserSettings -> Int #

hash :: UserSettings -> Int #

type Rep UserSettings Source # 
Instance details

Defined in Amazonka.SageMaker.Types.UserSettings

type Rep UserSettings = D1 ('MetaData "UserSettings" "Amazonka.SageMaker.Types.UserSettings" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "UserSettings'" 'PrefixI 'True) (((S1 ('MetaSel ('Just "canvasAppSettings") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe CanvasAppSettings)) :*: S1 ('MetaSel ('Just "executionRole") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))) :*: (S1 ('MetaSel ('Just "jupyterServerAppSettings") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe JupyterServerAppSettings)) :*: S1 ('MetaSel ('Just "kernelGatewayAppSettings") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe KernelGatewayAppSettings)))) :*: ((S1 ('MetaSel ('Just "rSessionAppSettings") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe RSessionAppSettings)) :*: S1 ('MetaSel ('Just "rStudioServerProAppSettings") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe RStudioServerProAppSettings))) :*: (S1 ('MetaSel ('Just "securityGroups") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [Text])) :*: (S1 ('MetaSel ('Just "sharingSettings") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe SharingSettings)) :*: S1 ('MetaSel ('Just "tensorBoardAppSettings") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe TensorBoardAppSettings)))))))

newUserSettings :: UserSettings Source #

Create a value of UserSettings with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:canvasAppSettings:UserSettings', userSettings_canvasAppSettings - The Canvas app settings.

$sel:executionRole:UserSettings', userSettings_executionRole - The execution role for the user.

$sel:jupyterServerAppSettings:UserSettings', userSettings_jupyterServerAppSettings - The Jupyter server's app settings.

$sel:kernelGatewayAppSettings:UserSettings', userSettings_kernelGatewayAppSettings - The kernel gateway app settings.

$sel:rSessionAppSettings:UserSettings', userSettings_rSessionAppSettings - A collection of settings that configure the RSessionGateway app.

$sel:rStudioServerProAppSettings:UserSettings', userSettings_rStudioServerProAppSettings - A collection of settings that configure user interaction with the RStudioServerPro app.

$sel:securityGroups:UserSettings', userSettings_securityGroups - The security groups for the Amazon Virtual Private Cloud (VPC) that Studio uses for communication.

Optional when the CreateDomain.AppNetworkAccessType parameter is set to PublicInternetOnly.

Required when the CreateDomain.AppNetworkAccessType parameter is set to VpcOnly.

Amazon SageMaker adds a security group to allow NFS traffic from SageMaker Studio. Therefore, the number of security groups that you can specify is one less than the maximum number shown.

$sel:sharingSettings:UserSettings', userSettings_sharingSettings - Specifies options for sharing SageMaker Studio notebooks.

$sel:tensorBoardAppSettings:UserSettings', userSettings_tensorBoardAppSettings - The TensorBoard app settings.

userSettings_canvasAppSettings :: Lens' UserSettings (Maybe CanvasAppSettings) Source #

The Canvas app settings.

userSettings_executionRole :: Lens' UserSettings (Maybe Text) Source #

The execution role for the user.

userSettings_jupyterServerAppSettings :: Lens' UserSettings (Maybe JupyterServerAppSettings) Source #

The Jupyter server's app settings.

userSettings_kernelGatewayAppSettings :: Lens' UserSettings (Maybe KernelGatewayAppSettings) Source #

The kernel gateway app settings.

userSettings_rSessionAppSettings :: Lens' UserSettings (Maybe RSessionAppSettings) Source #

A collection of settings that configure the RSessionGateway app.

userSettings_rStudioServerProAppSettings :: Lens' UserSettings (Maybe RStudioServerProAppSettings) Source #

A collection of settings that configure user interaction with the RStudioServerPro app.

userSettings_securityGroups :: Lens' UserSettings (Maybe [Text]) Source #

The security groups for the Amazon Virtual Private Cloud (VPC) that Studio uses for communication.

Optional when the CreateDomain.AppNetworkAccessType parameter is set to PublicInternetOnly.

Required when the CreateDomain.AppNetworkAccessType parameter is set to VpcOnly.

Amazon SageMaker adds a security group to allow NFS traffic from SageMaker Studio. Therefore, the number of security groups that you can specify is one less than the maximum number shown.

userSettings_sharingSettings :: Lens' UserSettings (Maybe SharingSettings) Source #

Specifies options for sharing SageMaker Studio notebooks.

userSettings_tensorBoardAppSettings :: Lens' UserSettings (Maybe TensorBoardAppSettings) Source #

The TensorBoard app settings.

VariantProperty

data VariantProperty Source #

Specifies a production variant property type for an Endpoint.

If you are updating an endpoint with the UpdateEndpointInput$RetainAllVariantProperties option set to true, the VariantProperty objects listed in UpdateEndpointInput$ExcludeRetainedVariantProperties override the existing variant properties of the endpoint.

See: newVariantProperty smart constructor.

Constructors

VariantProperty' 

Fields

  • variantPropertyType :: VariantPropertyType

    The type of variant property. The supported values are:

    • DesiredInstanceCount: Overrides the existing variant instance counts using the ProductionVariant$InitialInstanceCount values in the CreateEndpointConfigInput$ProductionVariants.
    • DesiredWeight: Overrides the existing variant weights using the ProductionVariant$InitialVariantWeight values in the CreateEndpointConfigInput$ProductionVariants.
    • DataCaptureConfig: (Not currently supported.)

Instances

Instances details
ToJSON VariantProperty Source # 
Instance details

Defined in Amazonka.SageMaker.Types.VariantProperty

Methods

toJSON :: VariantProperty -> Value #

toEncoding :: VariantProperty -> Encoding #

toJSONList :: [VariantProperty] -> Value #

toEncodingList :: [VariantProperty] -> Encoding #

Generic VariantProperty Source # 
Instance details

Defined in Amazonka.SageMaker.Types.VariantProperty

Associated Types

type Rep VariantProperty :: Type -> Type #

Methods

from :: VariantProperty -> Rep VariantProperty x #

to :: Rep VariantProperty x -> VariantProperty #

Read VariantProperty Source # 
Instance details

Defined in Amazonka.SageMaker.Types.VariantProperty

Methods

readsPrec :: Int -> ReadS VariantProperty #

readList :: ReadS [VariantProperty] #

readPrec :: ReadPrec VariantProperty #

readListPrec :: ReadPrec [VariantProperty] #

Show VariantProperty Source # 
Instance details

Defined in Amazonka.SageMaker.Types.VariantProperty

Methods

showsPrec :: Int -> VariantProperty -> ShowS #

show :: VariantProperty -> String #

showList :: [VariantProperty] -> ShowS #

NFData VariantProperty Source # 
Instance details

Defined in Amazonka.SageMaker.Types.VariantProperty

Methods

rnf :: VariantProperty -> () #

Eq VariantProperty Source # 
Instance details

Defined in Amazonka.SageMaker.Types.VariantProperty

Methods

(==) :: VariantProperty -> VariantProperty -> Bool #

(/=) :: VariantProperty -> VariantProperty -> Bool #

Hashable VariantProperty Source # 
Instance details

Defined in Amazonka.SageMaker.Types.VariantProperty

Methods

hashWithSalt :: Int -> VariantProperty -> Int #

hash :: VariantProperty -> Int #

type Rep VariantProperty Source # 
Instance details

Defined in Amazonka.SageMaker.Types.VariantProperty

type Rep VariantProperty = D1 ('MetaData "VariantProperty" "Amazonka.SageMaker.Types.VariantProperty" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "VariantProperty'" 'PrefixI 'True) (S1 ('MetaSel ('Just "variantPropertyType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 VariantPropertyType)))

newVariantProperty Source #

Arguments

:: VariantPropertyType

$sel:variantPropertyType:VariantProperty'

-> VariantProperty 

Create a value of VariantProperty with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:variantPropertyType:VariantProperty', variantProperty_variantPropertyType - The type of variant property. The supported values are:

  • DesiredInstanceCount: Overrides the existing variant instance counts using the ProductionVariant$InitialInstanceCount values in the CreateEndpointConfigInput$ProductionVariants.
  • DesiredWeight: Overrides the existing variant weights using the ProductionVariant$InitialVariantWeight values in the CreateEndpointConfigInput$ProductionVariants.
  • DataCaptureConfig: (Not currently supported.)

variantProperty_variantPropertyType :: Lens' VariantProperty VariantPropertyType Source #

The type of variant property. The supported values are:

  • DesiredInstanceCount: Overrides the existing variant instance counts using the ProductionVariant$InitialInstanceCount values in the CreateEndpointConfigInput$ProductionVariants.
  • DesiredWeight: Overrides the existing variant weights using the ProductionVariant$InitialVariantWeight values in the CreateEndpointConfigInput$ProductionVariants.
  • DataCaptureConfig: (Not currently supported.)

Vertex

data Vertex Source #

A lineage entity connected to the starting entity(ies).

See: newVertex smart constructor.

Constructors

Vertex' 

Fields

Instances

Instances details
FromJSON Vertex Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Vertex

Methods

parseJSON :: Value -> Parser Vertex #

parseJSONList :: Value -> Parser [Vertex] #

Generic Vertex Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Vertex

Associated Types

type Rep Vertex :: Type -> Type #

Methods

from :: Vertex -> Rep Vertex x #

to :: Rep Vertex x -> Vertex #

Read Vertex Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Vertex

Methods

readsPrec :: Int -> ReadS Vertex #

readList :: ReadS [Vertex] #

readPrec :: ReadPrec Vertex #

readListPrec :: ReadPrec [Vertex] #

Show Vertex Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Vertex

Methods

showsPrec :: Int -> Vertex -> ShowS #

show :: Vertex -> String #

showList :: [Vertex] -> ShowS #

NFData Vertex Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Vertex

Methods

rnf :: Vertex -> () #

Eq Vertex Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Vertex

Methods

(==) :: Vertex -> Vertex -> Bool #

(/=) :: Vertex -> Vertex -> Bool #

Hashable Vertex Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Vertex

Methods

hashWithSalt :: Int -> Vertex -> Int #

hash :: Vertex -> Int #

type Rep Vertex Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Vertex

type Rep Vertex = D1 ('MetaData "Vertex" "Amazonka.SageMaker.Types.Vertex" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "Vertex'" 'PrefixI 'True) (S1 ('MetaSel ('Just "arn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: (S1 ('MetaSel ('Just "lineageType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe LineageType)) :*: S1 ('MetaSel ('Just "type'") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))))

newVertex :: Vertex Source #

Create a value of Vertex with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:arn:Vertex', vertex_arn - The Amazon Resource Name (ARN) of the lineage entity resource.

$sel:lineageType:Vertex', vertex_lineageType - The type of resource of the lineage entity.

$sel:type':Vertex', vertex_type - The type of the lineage entity resource. For example: DataSet, Model, Endpoint, etc...

vertex_arn :: Lens' Vertex (Maybe Text) Source #

The Amazon Resource Name (ARN) of the lineage entity resource.

vertex_lineageType :: Lens' Vertex (Maybe LineageType) Source #

The type of resource of the lineage entity.

vertex_type :: Lens' Vertex (Maybe Text) Source #

The type of the lineage entity resource. For example: DataSet, Model, Endpoint, etc...

VpcConfig

data VpcConfig Source #

Specifies a VPC that your training jobs and hosted models have access to. Control access to and from your training and model containers by configuring the VPC. For more information, see Protect Endpoints by Using an Amazon Virtual Private Cloud and Protect Training Jobs by Using an Amazon Virtual Private Cloud.

See: newVpcConfig smart constructor.

Constructors

VpcConfig' 

Fields

Instances

Instances details
FromJSON VpcConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.VpcConfig

Methods

parseJSON :: Value -> Parser VpcConfig #

parseJSONList :: Value -> Parser [VpcConfig] #

ToJSON VpcConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.VpcConfig

Methods

toJSON :: VpcConfig -> Value #

toEncoding :: VpcConfig -> Encoding #

toJSONList :: [VpcConfig] -> Value #

toEncodingList :: [VpcConfig] -> Encoding #

Generic VpcConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.VpcConfig

Associated Types

type Rep VpcConfig :: Type -> Type #

Methods

from :: VpcConfig -> Rep VpcConfig x #

to :: Rep VpcConfig x -> VpcConfig #

Read VpcConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.VpcConfig

Methods

readsPrec :: Int -> ReadS VpcConfig #

readList :: ReadS [VpcConfig] #

readPrec :: ReadPrec VpcConfig #

readListPrec :: ReadPrec [VpcConfig] #

Show VpcConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.VpcConfig

Methods

showsPrec :: Int -> VpcConfig -> ShowS #

show :: VpcConfig -> String #

showList :: [VpcConfig] -> ShowS #

NFData VpcConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.VpcConfig

Methods

rnf :: VpcConfig -> () #

Eq VpcConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.VpcConfig

Methods

(==) :: VpcConfig -> VpcConfig -> Bool #

(/=) :: VpcConfig -> VpcConfig -> Bool #

Hashable VpcConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.VpcConfig

Methods

hashWithSalt :: Int -> VpcConfig -> Int #

hash :: VpcConfig -> Int #

type Rep VpcConfig Source # 
Instance details

Defined in Amazonka.SageMaker.Types.VpcConfig

type Rep VpcConfig = D1 ('MetaData "VpcConfig" "Amazonka.SageMaker.Types.VpcConfig" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "VpcConfig'" 'PrefixI 'True) (S1 ('MetaSel ('Just "securityGroupIds") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (NonEmpty Text)) :*: S1 ('MetaSel ('Just "subnets") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (NonEmpty Text))))

newVpcConfig Source #

Arguments

:: NonEmpty Text

$sel:securityGroupIds:VpcConfig'

-> NonEmpty Text

$sel:subnets:VpcConfig'

-> VpcConfig 

Create a value of VpcConfig with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:securityGroupIds:VpcConfig', vpcConfig_securityGroupIds - The VPC security group IDs, in the form sg-xxxxxxxx. Specify the security groups for the VPC that is specified in the Subnets field.

$sel:subnets:VpcConfig', vpcConfig_subnets - The ID of the subnets in the VPC to which you want to connect your training job or model. For information about the availability of specific instance types, see Supported Instance Types and Availability Zones.

vpcConfig_securityGroupIds :: Lens' VpcConfig (NonEmpty Text) Source #

The VPC security group IDs, in the form sg-xxxxxxxx. Specify the security groups for the VPC that is specified in the Subnets field.

vpcConfig_subnets :: Lens' VpcConfig (NonEmpty Text) Source #

The ID of the subnets in the VPC to which you want to connect your training job or model. For information about the availability of specific instance types, see Supported Instance Types and Availability Zones.

WarmPoolStatus

data WarmPoolStatus Source #

Status and billing information about the warm pool.

See: newWarmPoolStatus smart constructor.

Constructors

WarmPoolStatus' 

Fields

  • resourceRetainedBillableTimeInSeconds :: Maybe Natural

    The billable time in seconds used by the warm pool. Billable time refers to the absolute wall-clock time.

    Multiply ResourceRetainedBillableTimeInSeconds by the number of instances (InstanceCount) in your training cluster to get the total compute time SageMaker bills you if you run warm pool training. The formula is as follows: ResourceRetainedBillableTimeInSeconds * InstanceCount.

  • reusedByJob :: Maybe Text

    The name of the matching training job that reused the warm pool.

  • status :: WarmPoolResourceStatus

    The status of the warm pool.

    • InUse: The warm pool is in use for the training job.
    • Available: The warm pool is available to reuse for a matching training job.
    • Reused: The warm pool moved to a matching training job for reuse.
    • Terminated: The warm pool is no longer available. Warm pools are unavailable if they are terminated by a user, terminated for a patch update, or terminated for exceeding the specified KeepAlivePeriodInSeconds.

Instances

Instances details
FromJSON WarmPoolStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.WarmPoolStatus

Methods

parseJSON :: Value -> Parser WarmPoolStatus #

parseJSONList :: Value -> Parser [WarmPoolStatus] #

Generic WarmPoolStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.WarmPoolStatus

Associated Types

type Rep WarmPoolStatus :: Type -> Type #

Methods

from :: WarmPoolStatus -> Rep WarmPoolStatus x #

to :: Rep WarmPoolStatus x -> WarmPoolStatus #

Read WarmPoolStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.WarmPoolStatus

Methods

readsPrec :: Int -> ReadS WarmPoolStatus #

readList :: ReadS [WarmPoolStatus] #

readPrec :: ReadPrec WarmPoolStatus #

readListPrec :: ReadPrec [WarmPoolStatus] #

Show WarmPoolStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.WarmPoolStatus

Methods

showsPrec :: Int -> WarmPoolStatus -> ShowS #

show :: WarmPoolStatus -> String #

showList :: [WarmPoolStatus] -> ShowS #

NFData WarmPoolStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.WarmPoolStatus

Methods

rnf :: WarmPoolStatus -> () #

Eq WarmPoolStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.WarmPoolStatus

Methods

(==) :: WarmPoolStatus -> WarmPoolStatus -> Bool #

(/=) :: WarmPoolStatus -> WarmPoolStatus -> Bool #

Hashable WarmPoolStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.WarmPoolStatus

Methods

hashWithSalt :: Int -> WarmPoolStatus -> Int #

hash :: WarmPoolStatus -> Int #

type Rep WarmPoolStatus Source # 
Instance details

Defined in Amazonka.SageMaker.Types.WarmPoolStatus

type Rep WarmPoolStatus = D1 ('MetaData "WarmPoolStatus" "Amazonka.SageMaker.Types.WarmPoolStatus" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "WarmPoolStatus'" 'PrefixI 'True) (S1 ('MetaSel ('Just "resourceRetainedBillableTimeInSeconds") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural)) :*: (S1 ('MetaSel ('Just "reusedByJob") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "status") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 WarmPoolResourceStatus))))

newWarmPoolStatus Source #

Arguments

:: WarmPoolResourceStatus

$sel:status:WarmPoolStatus'

-> WarmPoolStatus 

Create a value of WarmPoolStatus with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:resourceRetainedBillableTimeInSeconds:WarmPoolStatus', warmPoolStatus_resourceRetainedBillableTimeInSeconds - The billable time in seconds used by the warm pool. Billable time refers to the absolute wall-clock time.

Multiply ResourceRetainedBillableTimeInSeconds by the number of instances (InstanceCount) in your training cluster to get the total compute time SageMaker bills you if you run warm pool training. The formula is as follows: ResourceRetainedBillableTimeInSeconds * InstanceCount.

$sel:reusedByJob:WarmPoolStatus', warmPoolStatus_reusedByJob - The name of the matching training job that reused the warm pool.

$sel:status:WarmPoolStatus', warmPoolStatus_status - The status of the warm pool.

  • InUse: The warm pool is in use for the training job.
  • Available: The warm pool is available to reuse for a matching training job.
  • Reused: The warm pool moved to a matching training job for reuse.
  • Terminated: The warm pool is no longer available. Warm pools are unavailable if they are terminated by a user, terminated for a patch update, or terminated for exceeding the specified KeepAlivePeriodInSeconds.

warmPoolStatus_resourceRetainedBillableTimeInSeconds :: Lens' WarmPoolStatus (Maybe Natural) Source #

The billable time in seconds used by the warm pool. Billable time refers to the absolute wall-clock time.

Multiply ResourceRetainedBillableTimeInSeconds by the number of instances (InstanceCount) in your training cluster to get the total compute time SageMaker bills you if you run warm pool training. The formula is as follows: ResourceRetainedBillableTimeInSeconds * InstanceCount.

warmPoolStatus_reusedByJob :: Lens' WarmPoolStatus (Maybe Text) Source #

The name of the matching training job that reused the warm pool.

warmPoolStatus_status :: Lens' WarmPoolStatus WarmPoolResourceStatus Source #

The status of the warm pool.

  • InUse: The warm pool is in use for the training job.
  • Available: The warm pool is available to reuse for a matching training job.
  • Reused: The warm pool moved to a matching training job for reuse.
  • Terminated: The warm pool is no longer available. Warm pools are unavailable if they are terminated by a user, terminated for a patch update, or terminated for exceeding the specified KeepAlivePeriodInSeconds.

Workforce

data Workforce Source #

A single private workforce, which is automatically created when you create your first private work team. You can create one private work force in each Amazon Web Services Region. By default, any workforce-related API operation used in a specific region will apply to the workforce created in that region. To learn how to create a private workforce, see Create a Private Workforce.

See: newWorkforce smart constructor.

Constructors

Workforce' 

Fields

Instances

Instances details
FromJSON Workforce Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Workforce

Methods

parseJSON :: Value -> Parser Workforce #

parseJSONList :: Value -> Parser [Workforce] #

Generic Workforce Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Workforce

Associated Types

type Rep Workforce :: Type -> Type #

Methods

from :: Workforce -> Rep Workforce x #

to :: Rep Workforce x -> Workforce #

Read Workforce Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Workforce

Methods

readsPrec :: Int -> ReadS Workforce #

readList :: ReadS [Workforce] #

readPrec :: ReadPrec Workforce #

readListPrec :: ReadPrec [Workforce] #

Show Workforce Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Workforce

Methods

showsPrec :: Int -> Workforce -> ShowS #

show :: Workforce -> String #

showList :: [Workforce] -> ShowS #

NFData Workforce Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Workforce

Methods

rnf :: Workforce -> () #

Eq Workforce Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Workforce

Methods

(==) :: Workforce -> Workforce -> Bool #

(/=) :: Workforce -> Workforce -> Bool #

Hashable Workforce Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Workforce

Methods

hashWithSalt :: Int -> Workforce -> Int #

hash :: Workforce -> Int #

type Rep Workforce Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Workforce

type Rep Workforce = D1 ('MetaData "Workforce" "Amazonka.SageMaker.Types.Workforce" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "Workforce'" 'PrefixI 'True) (((S1 ('MetaSel ('Just "cognitoConfig") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe CognitoConfig)) :*: S1 ('MetaSel ('Just "createDate") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX))) :*: (S1 ('MetaSel ('Just "failureReason") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: (S1 ('MetaSel ('Just "lastUpdatedDate") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :*: S1 ('MetaSel ('Just "oidcConfig") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe OidcConfigForResponse))))) :*: ((S1 ('MetaSel ('Just "sourceIpConfig") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe SourceIpConfig)) :*: (S1 ('MetaSel ('Just "status") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe WorkforceStatus)) :*: S1 ('MetaSel ('Just "subDomain") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))) :*: (S1 ('MetaSel ('Just "workforceVpcConfig") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe WorkforceVpcConfigResponse)) :*: (S1 ('MetaSel ('Just "workforceName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: S1 ('MetaSel ('Just "workforceArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text))))))

newWorkforce Source #

Arguments

:: Text

$sel:workforceName:Workforce'

-> Text

$sel:workforceArn:Workforce'

-> Workforce 

Create a value of Workforce with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:cognitoConfig:Workforce', workforce_cognitoConfig - The configuration of an Amazon Cognito workforce. A single Cognito workforce is created using and corresponds to a single Amazon Cognito user pool.

$sel:createDate:Workforce', workforce_createDate - The date that the workforce is created.

$sel:failureReason:Workforce', workforce_failureReason - The reason your workforce failed.

$sel:lastUpdatedDate:Workforce', workforce_lastUpdatedDate - The most recent date that was used to successfully add one or more IP address ranges (CIDRs) to a private workforce's allow list.

$sel:oidcConfig:Workforce', workforce_oidcConfig - The configuration of an OIDC Identity Provider (IdP) private workforce.

$sel:sourceIpConfig:Workforce', workforce_sourceIpConfig - A list of one to ten IP address ranges (CIDRs) to be added to the workforce allow list. By default, a workforce isn't restricted to specific IP addresses.

$sel:status:Workforce', workforce_status - The status of your workforce.

$sel:subDomain:Workforce', workforce_subDomain - The subdomain for your OIDC Identity Provider.

$sel:workforceVpcConfig:Workforce', workforce_workforceVpcConfig - The configuration of a VPC workforce.

$sel:workforceName:Workforce', workforce_workforceName - The name of the private workforce.

$sel:workforceArn:Workforce', workforce_workforceArn - The Amazon Resource Name (ARN) of the private workforce.

workforce_cognitoConfig :: Lens' Workforce (Maybe CognitoConfig) Source #

The configuration of an Amazon Cognito workforce. A single Cognito workforce is created using and corresponds to a single Amazon Cognito user pool.

workforce_createDate :: Lens' Workforce (Maybe UTCTime) Source #

The date that the workforce is created.

workforce_failureReason :: Lens' Workforce (Maybe Text) Source #

The reason your workforce failed.

workforce_lastUpdatedDate :: Lens' Workforce (Maybe UTCTime) Source #

The most recent date that was used to successfully add one or more IP address ranges (CIDRs) to a private workforce's allow list.

workforce_oidcConfig :: Lens' Workforce (Maybe OidcConfigForResponse) Source #

The configuration of an OIDC Identity Provider (IdP) private workforce.

workforce_sourceIpConfig :: Lens' Workforce (Maybe SourceIpConfig) Source #

A list of one to ten IP address ranges (CIDRs) to be added to the workforce allow list. By default, a workforce isn't restricted to specific IP addresses.

workforce_status :: Lens' Workforce (Maybe WorkforceStatus) Source #

The status of your workforce.

workforce_subDomain :: Lens' Workforce (Maybe Text) Source #

The subdomain for your OIDC Identity Provider.

workforce_workforceVpcConfig :: Lens' Workforce (Maybe WorkforceVpcConfigResponse) Source #

The configuration of a VPC workforce.

workforce_workforceName :: Lens' Workforce Text Source #

The name of the private workforce.

workforce_workforceArn :: Lens' Workforce Text Source #

The Amazon Resource Name (ARN) of the private workforce.

WorkforceVpcConfigRequest

data WorkforceVpcConfigRequest Source #

The VPC object you use to create or update a workforce.

See: newWorkforceVpcConfigRequest smart constructor.

Constructors

WorkforceVpcConfigRequest' 

Fields

Instances

Instances details
ToJSON WorkforceVpcConfigRequest Source # 
Instance details

Defined in Amazonka.SageMaker.Types.WorkforceVpcConfigRequest

Methods

toJSON :: WorkforceVpcConfigRequest -> Value #

toEncoding :: WorkforceVpcConfigRequest -> Encoding #

toJSONList :: [WorkforceVpcConfigRequest] -> Value #

toEncodingList :: [WorkforceVpcConfigRequest] -> Encoding #

Generic WorkforceVpcConfigRequest Source # 
Instance details

Defined in Amazonka.SageMaker.Types.WorkforceVpcConfigRequest

Associated Types

type Rep WorkforceVpcConfigRequest :: Type -> Type #

Methods

from :: WorkforceVpcConfigRequest -> Rep WorkforceVpcConfigRequest x #

to :: Rep WorkforceVpcConfigRequest x -> WorkforceVpcConfigRequest #

Read WorkforceVpcConfigRequest Source # 
Instance details

Defined in Amazonka.SageMaker.Types.WorkforceVpcConfigRequest

Methods

readsPrec :: Int -> ReadS WorkforceVpcConfigRequest #

readList :: ReadS [WorkforceVpcConfigRequest] #

readPrec :: ReadPrec WorkforceVpcConfigRequest #

readListPrec :: ReadPrec [WorkforceVpcConfigRequest] #

Show WorkforceVpcConfigRequest Source # 
Instance details

Defined in Amazonka.SageMaker.Types.WorkforceVpcConfigRequest

Methods

showsPrec :: Int -> WorkforceVpcConfigRequest -> ShowS #

show :: WorkforceVpcConfigRequest -> String #

showList :: [WorkforceVpcConfigRequest] -> ShowS #

NFData WorkforceVpcConfigRequest Source # 
Instance details

Defined in Amazonka.SageMaker.Types.WorkforceVpcConfigRequest

Methods

rnf :: WorkforceVpcConfigRequest -> () #

Eq WorkforceVpcConfigRequest Source # 
Instance details

Defined in Amazonka.SageMaker.Types.WorkforceVpcConfigRequest

Methods

(==) :: WorkforceVpcConfigRequest -> WorkforceVpcConfigRequest -> Bool #

(/=) :: WorkforceVpcConfigRequest -> WorkforceVpcConfigRequest -> Bool #

Hashable WorkforceVpcConfigRequest Source # 
Instance details

Defined in Amazonka.SageMaker.Types.WorkforceVpcConfigRequest

Methods

hashWithSalt :: Int -> WorkforceVpcConfigRequest -> Int #

hash :: WorkforceVpcConfigRequest -> Int #

type Rep WorkforceVpcConfigRequest Source # 
Instance details

Defined in Amazonka.SageMaker.Types.WorkforceVpcConfigRequest

type Rep WorkforceVpcConfigRequest = D1 ('MetaData "WorkforceVpcConfigRequest" "Amazonka.SageMaker.Types.WorkforceVpcConfigRequest" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "WorkforceVpcConfigRequest'" 'PrefixI 'True) (S1 ('MetaSel ('Just "securityGroupIds") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe (NonEmpty Text))) :*: (S1 ('MetaSel ('Just "subnets") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe (NonEmpty Text))) :*: S1 ('MetaSel ('Just "vpcId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))))

newWorkforceVpcConfigRequest :: WorkforceVpcConfigRequest Source #

Create a value of WorkforceVpcConfigRequest with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:securityGroupIds:WorkforceVpcConfigRequest', workforceVpcConfigRequest_securityGroupIds - The VPC security group IDs, in the form sg-xxxxxxxx. The security groups must be for the same VPC as specified in the subnet.

$sel:subnets:WorkforceVpcConfigRequest', workforceVpcConfigRequest_subnets - The ID of the subnets in the VPC that you want to connect.

$sel:vpcId:WorkforceVpcConfigRequest', workforceVpcConfigRequest_vpcId - The ID of the VPC that the workforce uses for communication.

workforceVpcConfigRequest_securityGroupIds :: Lens' WorkforceVpcConfigRequest (Maybe (NonEmpty Text)) Source #

The VPC security group IDs, in the form sg-xxxxxxxx. The security groups must be for the same VPC as specified in the subnet.

workforceVpcConfigRequest_subnets :: Lens' WorkforceVpcConfigRequest (Maybe (NonEmpty Text)) Source #

The ID of the subnets in the VPC that you want to connect.

workforceVpcConfigRequest_vpcId :: Lens' WorkforceVpcConfigRequest (Maybe Text) Source #

The ID of the VPC that the workforce uses for communication.

WorkforceVpcConfigResponse

data WorkforceVpcConfigResponse Source #

A VpcConfig object that specifies the VPC that you want your workforce to connect to.

See: newWorkforceVpcConfigResponse smart constructor.

Constructors

WorkforceVpcConfigResponse' 

Fields

  • vpcEndpointId :: Maybe Text

    The IDs for the VPC service endpoints of your VPC workforce when it is created and updated.

  • vpcId :: Text

    The ID of the VPC that the workforce uses for communication.

  • securityGroupIds :: NonEmpty Text

    The VPC security group IDs, in the form sg-xxxxxxxx. The security groups must be for the same VPC as specified in the subnet.

  • subnets :: NonEmpty Text

    The ID of the subnets in the VPC that you want to connect.

Instances

Instances details
FromJSON WorkforceVpcConfigResponse Source # 
Instance details

Defined in Amazonka.SageMaker.Types.WorkforceVpcConfigResponse

Methods

parseJSON :: Value -> Parser WorkforceVpcConfigResponse #

parseJSONList :: Value -> Parser [WorkforceVpcConfigResponse] #

Generic WorkforceVpcConfigResponse Source # 
Instance details

Defined in Amazonka.SageMaker.Types.WorkforceVpcConfigResponse

Associated Types

type Rep WorkforceVpcConfigResponse :: Type -> Type #

Methods

from :: WorkforceVpcConfigResponse -> Rep WorkforceVpcConfigResponse x #

to :: Rep WorkforceVpcConfigResponse x -> WorkforceVpcConfigResponse #

Read WorkforceVpcConfigResponse Source # 
Instance details

Defined in Amazonka.SageMaker.Types.WorkforceVpcConfigResponse

Methods

readsPrec :: Int -> ReadS WorkforceVpcConfigResponse #

readList :: ReadS [WorkforceVpcConfigResponse] #

readPrec :: ReadPrec WorkforceVpcConfigResponse #

readListPrec :: ReadPrec [WorkforceVpcConfigResponse] #

Show WorkforceVpcConfigResponse Source # 
Instance details

Defined in Amazonka.SageMaker.Types.WorkforceVpcConfigResponse

Methods

showsPrec :: Int -> WorkforceVpcConfigResponse -> ShowS #

show :: WorkforceVpcConfigResponse -> String #

showList :: [WorkforceVpcConfigResponse] -> ShowS #

NFData WorkforceVpcConfigResponse Source # 
Instance details

Defined in Amazonka.SageMaker.Types.WorkforceVpcConfigResponse

Methods

rnf :: WorkforceVpcConfigResponse -> () #

Eq WorkforceVpcConfigResponse Source # 
Instance details

Defined in Amazonka.SageMaker.Types.WorkforceVpcConfigResponse

Methods

(==) :: WorkforceVpcConfigResponse -> WorkforceVpcConfigResponse -> Bool #

(/=) :: WorkforceVpcConfigResponse -> WorkforceVpcConfigResponse -> Bool #

Hashable WorkforceVpcConfigResponse Source # 
Instance details

Defined in Amazonka.SageMaker.Types.WorkforceVpcConfigResponse

Methods

hashWithSalt :: Int -> WorkforceVpcConfigResponse -> Int #

hash :: WorkforceVpcConfigResponse -> Int #

type Rep WorkforceVpcConfigResponse Source # 
Instance details

Defined in Amazonka.SageMaker.Types.WorkforceVpcConfigResponse

type Rep WorkforceVpcConfigResponse = D1 ('MetaData "WorkforceVpcConfigResponse" "Amazonka.SageMaker.Types.WorkforceVpcConfigResponse" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "WorkforceVpcConfigResponse'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "vpcEndpointId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "vpcId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)) :*: (S1 ('MetaSel ('Just "securityGroupIds") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (NonEmpty Text)) :*: S1 ('MetaSel ('Just "subnets") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (NonEmpty Text)))))

newWorkforceVpcConfigResponse Source #

Arguments

:: Text

$sel:vpcId:WorkforceVpcConfigResponse'

-> NonEmpty Text

$sel:securityGroupIds:WorkforceVpcConfigResponse'

-> NonEmpty Text

$sel:subnets:WorkforceVpcConfigResponse'

-> WorkforceVpcConfigResponse 

Create a value of WorkforceVpcConfigResponse with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:vpcEndpointId:WorkforceVpcConfigResponse', workforceVpcConfigResponse_vpcEndpointId - The IDs for the VPC service endpoints of your VPC workforce when it is created and updated.

$sel:vpcId:WorkforceVpcConfigResponse', workforceVpcConfigResponse_vpcId - The ID of the VPC that the workforce uses for communication.

$sel:securityGroupIds:WorkforceVpcConfigResponse', workforceVpcConfigResponse_securityGroupIds - The VPC security group IDs, in the form sg-xxxxxxxx. The security groups must be for the same VPC as specified in the subnet.

$sel:subnets:WorkforceVpcConfigResponse', workforceVpcConfigResponse_subnets - The ID of the subnets in the VPC that you want to connect.

workforceVpcConfigResponse_vpcEndpointId :: Lens' WorkforceVpcConfigResponse (Maybe Text) Source #

The IDs for the VPC service endpoints of your VPC workforce when it is created and updated.

workforceVpcConfigResponse_vpcId :: Lens' WorkforceVpcConfigResponse Text Source #

The ID of the VPC that the workforce uses for communication.

workforceVpcConfigResponse_securityGroupIds :: Lens' WorkforceVpcConfigResponse (NonEmpty Text) Source #

The VPC security group IDs, in the form sg-xxxxxxxx. The security groups must be for the same VPC as specified in the subnet.

workforceVpcConfigResponse_subnets :: Lens' WorkforceVpcConfigResponse (NonEmpty Text) Source #

The ID of the subnets in the VPC that you want to connect.

Workteam

data Workteam Source #

Provides details about a labeling work team.

See: newWorkteam smart constructor.

Constructors

Workteam' 

Fields

Instances

Instances details
FromJSON Workteam Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Workteam

Methods

parseJSON :: Value -> Parser Workteam #

parseJSONList :: Value -> Parser [Workteam] #

Generic Workteam Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Workteam

Associated Types

type Rep Workteam :: Type -> Type #

Methods

from :: Workteam -> Rep Workteam x #

to :: Rep Workteam x -> Workteam #

Read Workteam Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Workteam

Methods

readsPrec :: Int -> ReadS Workteam #

readList :: ReadS [Workteam] #

readPrec :: ReadPrec Workteam #

readListPrec :: ReadPrec [Workteam] #

Show Workteam Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Workteam

Methods

showsPrec :: Int -> Workteam -> ShowS #

show :: Workteam -> String #

showList :: [Workteam] -> ShowS #

NFData Workteam Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Workteam

Methods

rnf :: Workteam -> () #

Eq Workteam Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Workteam

Methods

(==) :: Workteam -> Workteam -> Bool #

(/=) :: Workteam -> Workteam -> Bool #

Hashable Workteam Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Workteam

Methods

hashWithSalt :: Int -> Workteam -> Int #

hash :: Workteam -> Int #

type Rep Workteam Source # 
Instance details

Defined in Amazonka.SageMaker.Types.Workteam

type Rep Workteam = D1 ('MetaData "Workteam" "Amazonka.SageMaker.Types.Workteam" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "Workteam'" 'PrefixI 'True) (((S1 ('MetaSel ('Just "createDate") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :*: S1 ('MetaSel ('Just "lastUpdatedDate") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX))) :*: (S1 ('MetaSel ('Just "notificationConfiguration") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe NotificationConfiguration)) :*: (S1 ('MetaSel ('Just "productListingIds") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [Text])) :*: S1 ('MetaSel ('Just "subDomain") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))) :*: ((S1 ('MetaSel ('Just "workforceArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "workteamName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)) :*: (S1 ('MetaSel ('Just "memberDefinitions") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (NonEmpty MemberDefinition)) :*: (S1 ('MetaSel ('Just "workteamArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: S1 ('MetaSel ('Just "description") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text))))))

newWorkteam Source #

Arguments

:: Text

$sel:workteamName:Workteam'

-> NonEmpty MemberDefinition

$sel:memberDefinitions:Workteam'

-> Text

$sel:workteamArn:Workteam'

-> Text

$sel:description:Workteam'

-> Workteam 

Create a value of Workteam with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:createDate:Workteam', workteam_createDate - The date and time that the work team was created (timestamp).

$sel:lastUpdatedDate:Workteam', workteam_lastUpdatedDate - The date and time that the work team was last updated (timestamp).

$sel:notificationConfiguration:Workteam', workteam_notificationConfiguration - Configures SNS notifications of available or expiring work items for work teams.

$sel:productListingIds:Workteam', workteam_productListingIds - The Amazon Marketplace identifier for a vendor's work team.

$sel:subDomain:Workteam', workteam_subDomain - The URI of the labeling job's user interface. Workers open this URI to start labeling your data objects.

$sel:workforceArn:Workteam', workteam_workforceArn - The Amazon Resource Name (ARN) of the workforce.

$sel:workteamName:Workteam', workteam_workteamName - The name of the work team.

$sel:memberDefinitions:Workteam', workteam_memberDefinitions - A list of MemberDefinition objects that contains objects that identify the workers that make up the work team.

Workforces can be created using Amazon Cognito or your own OIDC Identity Provider (IdP). For private workforces created using Amazon Cognito use CognitoMemberDefinition. For workforces created using your own OIDC identity provider (IdP) use OidcMemberDefinition.

$sel:workteamArn:Workteam', workteam_workteamArn - The Amazon Resource Name (ARN) that identifies the work team.

$sel:description:Workteam', workteam_description - A description of the work team.

workteam_createDate :: Lens' Workteam (Maybe UTCTime) Source #

The date and time that the work team was created (timestamp).

workteam_lastUpdatedDate :: Lens' Workteam (Maybe UTCTime) Source #

The date and time that the work team was last updated (timestamp).

workteam_notificationConfiguration :: Lens' Workteam (Maybe NotificationConfiguration) Source #

Configures SNS notifications of available or expiring work items for work teams.

workteam_productListingIds :: Lens' Workteam (Maybe [Text]) Source #

The Amazon Marketplace identifier for a vendor's work team.

workteam_subDomain :: Lens' Workteam (Maybe Text) Source #

The URI of the labeling job's user interface. Workers open this URI to start labeling your data objects.

workteam_workforceArn :: Lens' Workteam (Maybe Text) Source #

The Amazon Resource Name (ARN) of the workforce.

workteam_workteamName :: Lens' Workteam Text Source #

The name of the work team.

workteam_memberDefinitions :: Lens' Workteam (NonEmpty MemberDefinition) Source #

A list of MemberDefinition objects that contains objects that identify the workers that make up the work team.

Workforces can be created using Amazon Cognito or your own OIDC Identity Provider (IdP). For private workforces created using Amazon Cognito use CognitoMemberDefinition. For workforces created using your own OIDC identity provider (IdP) use OidcMemberDefinition.

workteam_workteamArn :: Lens' Workteam Text Source #

The Amazon Resource Name (ARN) that identifies the work team.

workteam_description :: Lens' Workteam Text Source #

A description of the work team.