amazonka-lookoutvision-2.0: Amazon Lookout for Vision 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.LookoutVision.Types

Description

 
Synopsis

Service Configuration

defaultService :: Service Source #

API version 2020-11-20 of the Amazon Lookout for Vision SDK configuration.

Errors

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

You are not authorized to perform the action.

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

The update or deletion of a resource caused an inconsistent state.

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

Amazon Lookout for Vision experienced a service issue. Try your call again.

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

The resource could not be found.

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

A service quota was exceeded the allowed limit. For more information, see Limits in Amazon Lookout for Vision in the Amazon Lookout for Vision Developer Guide.

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

Amazon Lookout for Vision is temporarily unable to process the request. Try your call again.

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

An input validation error occured. For example, invalid characters in a project name, or if a pagination token is invalid.

DatasetStatus

newtype DatasetStatus Source #

Constructors

DatasetStatus' 

Instances

Instances details
FromJSON DatasetStatus Source # 
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FromJSONKey DatasetStatus Source # 
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ToJSON DatasetStatus Source # 
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ToJSONKey DatasetStatus Source # 
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ToByteString DatasetStatus Source # 
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ToHeader DatasetStatus Source # 
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ToLog DatasetStatus Source # 
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ToQuery DatasetStatus Source # 
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FromText DatasetStatus Source # 
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ToText DatasetStatus Source # 
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Methods

toText :: DatasetStatus -> Text #

FromXML DatasetStatus Source # 
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ToXML DatasetStatus Source # 
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Methods

toXML :: DatasetStatus -> XML #

Generic DatasetStatus Source # 
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Defined in Amazonka.LookoutVision.Types.DatasetStatus

Associated Types

type Rep DatasetStatus :: Type -> Type #

Read DatasetStatus Source # 
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Show DatasetStatus Source # 
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NFData DatasetStatus Source # 
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Methods

rnf :: DatasetStatus -> () #

Eq DatasetStatus Source # 
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Ord DatasetStatus Source # 
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Hashable DatasetStatus Source # 
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Defined in Amazonka.LookoutVision.Types.DatasetStatus

type Rep DatasetStatus Source # 
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Defined in Amazonka.LookoutVision.Types.DatasetStatus

type Rep DatasetStatus = D1 ('MetaData "DatasetStatus" "Amazonka.LookoutVision.Types.DatasetStatus" "amazonka-lookoutvision-2.0-3cIJAF9xWxx8xGDY24BOkS" 'True) (C1 ('MetaCons "DatasetStatus'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromDatasetStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

ModelHostingStatus

newtype ModelHostingStatus Source #

Instances

Instances details
FromJSON ModelHostingStatus Source # 
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Defined in Amazonka.LookoutVision.Types.ModelHostingStatus

FromJSONKey ModelHostingStatus Source # 
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ToJSON ModelHostingStatus Source # 
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ToJSONKey ModelHostingStatus Source # 
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ToByteString ModelHostingStatus Source # 
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ToHeader ModelHostingStatus Source # 
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ToLog ModelHostingStatus Source # 
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ToQuery ModelHostingStatus Source # 
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FromText ModelHostingStatus Source # 
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ToText ModelHostingStatus Source # 
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FromXML ModelHostingStatus Source # 
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ToXML ModelHostingStatus Source # 
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Generic ModelHostingStatus Source # 
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Associated Types

type Rep ModelHostingStatus :: Type -> Type #

Read ModelHostingStatus Source # 
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Show ModelHostingStatus Source # 
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NFData ModelHostingStatus Source # 
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Methods

rnf :: ModelHostingStatus -> () #

Eq ModelHostingStatus Source # 
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Ord ModelHostingStatus Source # 
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Hashable ModelHostingStatus Source # 
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type Rep ModelHostingStatus Source # 
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Defined in Amazonka.LookoutVision.Types.ModelHostingStatus

type Rep ModelHostingStatus = D1 ('MetaData "ModelHostingStatus" "Amazonka.LookoutVision.Types.ModelHostingStatus" "amazonka-lookoutvision-2.0-3cIJAF9xWxx8xGDY24BOkS" 'True) (C1 ('MetaCons "ModelHostingStatus'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromModelHostingStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

ModelPackagingJobStatus

newtype ModelPackagingJobStatus Source #

Instances

Instances details
FromJSON ModelPackagingJobStatus Source # 
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FromJSONKey ModelPackagingJobStatus Source # 
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ToJSON ModelPackagingJobStatus Source # 
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ToJSONKey ModelPackagingJobStatus Source # 
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ToByteString ModelPackagingJobStatus Source # 
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ToHeader ModelPackagingJobStatus Source # 
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ToLog ModelPackagingJobStatus Source # 
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ToQuery ModelPackagingJobStatus Source # 
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FromText ModelPackagingJobStatus Source # 
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ToText ModelPackagingJobStatus Source # 
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FromXML ModelPackagingJobStatus Source # 
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ToXML ModelPackagingJobStatus Source # 
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Generic ModelPackagingJobStatus Source # 
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Associated Types

type Rep ModelPackagingJobStatus :: Type -> Type #

Read ModelPackagingJobStatus Source # 
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Show ModelPackagingJobStatus Source # 
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NFData ModelPackagingJobStatus Source # 
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Methods

rnf :: ModelPackagingJobStatus -> () #

Eq ModelPackagingJobStatus Source # 
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Ord ModelPackagingJobStatus Source # 
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Hashable ModelPackagingJobStatus Source # 
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type Rep ModelPackagingJobStatus Source # 
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Defined in Amazonka.LookoutVision.Types.ModelPackagingJobStatus

type Rep ModelPackagingJobStatus = D1 ('MetaData "ModelPackagingJobStatus" "Amazonka.LookoutVision.Types.ModelPackagingJobStatus" "amazonka-lookoutvision-2.0-3cIJAF9xWxx8xGDY24BOkS" 'True) (C1 ('MetaCons "ModelPackagingJobStatus'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromModelPackagingJobStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

ModelStatus

newtype ModelStatus Source #

Constructors

ModelStatus' 

Instances

Instances details
FromJSON ModelStatus Source # 
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FromJSONKey ModelStatus Source # 
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ToJSON ModelStatus Source # 
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ToJSONKey ModelStatus Source # 
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ToByteString ModelStatus Source # 
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ToHeader ModelStatus Source # 
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ToLog ModelStatus Source # 
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ToQuery ModelStatus Source # 
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FromText ModelStatus Source # 
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ToText ModelStatus Source # 
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Methods

toText :: ModelStatus -> Text #

FromXML ModelStatus Source # 
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ToXML ModelStatus Source # 
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Methods

toXML :: ModelStatus -> XML #

Generic ModelStatus Source # 
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Defined in Amazonka.LookoutVision.Types.ModelStatus

Associated Types

type Rep ModelStatus :: Type -> Type #

Read ModelStatus Source # 
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Show ModelStatus Source # 
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NFData ModelStatus Source # 
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Methods

rnf :: ModelStatus -> () #

Eq ModelStatus Source # 
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Ord ModelStatus Source # 
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Hashable ModelStatus Source # 
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type Rep ModelStatus Source # 
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Defined in Amazonka.LookoutVision.Types.ModelStatus

type Rep ModelStatus = D1 ('MetaData "ModelStatus" "Amazonka.LookoutVision.Types.ModelStatus" "amazonka-lookoutvision-2.0-3cIJAF9xWxx8xGDY24BOkS" 'True) (C1 ('MetaCons "ModelStatus'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromModelStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

TargetDevice

newtype TargetDevice Source #

Constructors

TargetDevice' 

Bundled Patterns

pattern TargetDevice_Jetson_xavier :: TargetDevice 

Instances

Instances details
FromJSON TargetDevice Source # 
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FromJSONKey TargetDevice Source # 
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ToJSON TargetDevice Source # 
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ToJSONKey TargetDevice Source # 
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ToByteString TargetDevice Source # 
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ToHeader TargetDevice Source # 
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ToLog TargetDevice Source # 
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ToQuery TargetDevice Source # 
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FromText TargetDevice Source # 
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ToText TargetDevice Source # 
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Methods

toText :: TargetDevice -> Text #

FromXML TargetDevice Source # 
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ToXML TargetDevice Source # 
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Methods

toXML :: TargetDevice -> XML #

Generic TargetDevice Source # 
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Associated Types

type Rep TargetDevice :: Type -> Type #

Read TargetDevice Source # 
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Show TargetDevice Source # 
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NFData TargetDevice Source # 
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Methods

rnf :: TargetDevice -> () #

Eq TargetDevice Source # 
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Ord TargetDevice Source # 
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Hashable TargetDevice Source # 
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type Rep TargetDevice Source # 
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Defined in Amazonka.LookoutVision.Types.TargetDevice

type Rep TargetDevice = D1 ('MetaData "TargetDevice" "Amazonka.LookoutVision.Types.TargetDevice" "amazonka-lookoutvision-2.0-3cIJAF9xWxx8xGDY24BOkS" 'True) (C1 ('MetaCons "TargetDevice'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromTargetDevice") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

TargetPlatformAccelerator

newtype TargetPlatformAccelerator Source #

Instances

Instances details
FromJSON TargetPlatformAccelerator Source # 
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FromJSONKey TargetPlatformAccelerator Source # 
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ToJSON TargetPlatformAccelerator Source # 
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ToJSONKey TargetPlatformAccelerator Source # 
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ToByteString TargetPlatformAccelerator Source # 
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ToHeader TargetPlatformAccelerator Source # 
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ToLog TargetPlatformAccelerator Source # 
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ToQuery TargetPlatformAccelerator Source # 
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FromText TargetPlatformAccelerator Source # 
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ToText TargetPlatformAccelerator Source # 
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FromXML TargetPlatformAccelerator Source # 
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ToXML TargetPlatformAccelerator Source # 
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Generic TargetPlatformAccelerator Source # 
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Defined in Amazonka.LookoutVision.Types.TargetPlatformAccelerator

Associated Types

type Rep TargetPlatformAccelerator :: Type -> Type #

Read TargetPlatformAccelerator Source # 
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Show TargetPlatformAccelerator Source # 
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NFData TargetPlatformAccelerator Source # 
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Eq TargetPlatformAccelerator Source # 
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Ord TargetPlatformAccelerator Source # 
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Hashable TargetPlatformAccelerator Source # 
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type Rep TargetPlatformAccelerator Source # 
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Defined in Amazonka.LookoutVision.Types.TargetPlatformAccelerator

type Rep TargetPlatformAccelerator = D1 ('MetaData "TargetPlatformAccelerator" "Amazonka.LookoutVision.Types.TargetPlatformAccelerator" "amazonka-lookoutvision-2.0-3cIJAF9xWxx8xGDY24BOkS" 'True) (C1 ('MetaCons "TargetPlatformAccelerator'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromTargetPlatformAccelerator") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

TargetPlatformArch

newtype TargetPlatformArch Source #

Instances

Instances details
FromJSON TargetPlatformArch Source # 
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FromJSONKey TargetPlatformArch Source # 
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ToJSON TargetPlatformArch Source # 
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ToJSONKey TargetPlatformArch Source # 
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ToByteString TargetPlatformArch Source # 
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ToHeader TargetPlatformArch Source # 
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ToLog TargetPlatformArch Source # 
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ToQuery TargetPlatformArch Source # 
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FromText TargetPlatformArch Source # 
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ToText TargetPlatformArch Source # 
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FromXML TargetPlatformArch Source # 
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ToXML TargetPlatformArch Source # 
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Generic TargetPlatformArch Source # 
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Associated Types

type Rep TargetPlatformArch :: Type -> Type #

Read TargetPlatformArch Source # 
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Show TargetPlatformArch Source # 
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NFData TargetPlatformArch Source # 
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Methods

rnf :: TargetPlatformArch -> () #

Eq TargetPlatformArch Source # 
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Ord TargetPlatformArch Source # 
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Hashable TargetPlatformArch Source # 
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Defined in Amazonka.LookoutVision.Types.TargetPlatformArch

type Rep TargetPlatformArch Source # 
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Defined in Amazonka.LookoutVision.Types.TargetPlatformArch

type Rep TargetPlatformArch = D1 ('MetaData "TargetPlatformArch" "Amazonka.LookoutVision.Types.TargetPlatformArch" "amazonka-lookoutvision-2.0-3cIJAF9xWxx8xGDY24BOkS" 'True) (C1 ('MetaCons "TargetPlatformArch'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromTargetPlatformArch") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

TargetPlatformOs

newtype TargetPlatformOs Source #

Bundled Patterns

pattern TargetPlatformOs_LINUX :: TargetPlatformOs 

Instances

Instances details
FromJSON TargetPlatformOs Source # 
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FromJSONKey TargetPlatformOs Source # 
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ToJSON TargetPlatformOs Source # 
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ToJSONKey TargetPlatformOs Source # 
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ToByteString TargetPlatformOs Source # 
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ToHeader TargetPlatformOs Source # 
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ToLog TargetPlatformOs Source # 
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ToQuery TargetPlatformOs Source # 
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FromText TargetPlatformOs Source # 
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ToText TargetPlatformOs Source # 
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FromXML TargetPlatformOs Source # 
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ToXML TargetPlatformOs Source # 
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Generic TargetPlatformOs Source # 
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Associated Types

type Rep TargetPlatformOs :: Type -> Type #

Read TargetPlatformOs Source # 
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Show TargetPlatformOs Source # 
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NFData TargetPlatformOs Source # 
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Methods

rnf :: TargetPlatformOs -> () #

Eq TargetPlatformOs Source # 
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Ord TargetPlatformOs Source # 
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Hashable TargetPlatformOs Source # 
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Defined in Amazonka.LookoutVision.Types.TargetPlatformOs

type Rep TargetPlatformOs Source # 
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Defined in Amazonka.LookoutVision.Types.TargetPlatformOs

type Rep TargetPlatformOs = D1 ('MetaData "TargetPlatformOs" "Amazonka.LookoutVision.Types.TargetPlatformOs" "amazonka-lookoutvision-2.0-3cIJAF9xWxx8xGDY24BOkS" 'True) (C1 ('MetaCons "TargetPlatformOs'" 'PrefixI 'True) (S1 ('MetaSel ('Just "fromTargetPlatformOs") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedLazy) (Rec0 Text)))

Anomaly

data Anomaly Source #

Information about an anomaly type found on an image by an image segmentation model. For more information, see DetectAnomalies.

See: newAnomaly smart constructor.

Constructors

Anomaly' 

Fields

  • name :: Maybe Text

    The name of an anomaly type found in an image. Name maps to an anomaly type in the training dataset, apart from the anomaly type background. The service automatically inserts the background anomaly type into the response from DetectAnomalies.

  • pixelAnomaly :: Maybe PixelAnomaly

    Information about the pixel mask that covers an anomaly type.

Instances

Instances details
FromJSON Anomaly Source # 
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Defined in Amazonka.LookoutVision.Types.Anomaly

Generic Anomaly Source # 
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Defined in Amazonka.LookoutVision.Types.Anomaly

Associated Types

type Rep Anomaly :: Type -> Type #

Methods

from :: Anomaly -> Rep Anomaly x #

to :: Rep Anomaly x -> Anomaly #

Read Anomaly Source # 
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Show Anomaly Source # 
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NFData Anomaly Source # 
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Methods

rnf :: Anomaly -> () #

Eq Anomaly Source # 
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Defined in Amazonka.LookoutVision.Types.Anomaly

Methods

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

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

Hashable Anomaly Source # 
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Defined in Amazonka.LookoutVision.Types.Anomaly

Methods

hashWithSalt :: Int -> Anomaly -> Int #

hash :: Anomaly -> Int #

type Rep Anomaly Source # 
Instance details

Defined in Amazonka.LookoutVision.Types.Anomaly

type Rep Anomaly = D1 ('MetaData "Anomaly" "Amazonka.LookoutVision.Types.Anomaly" "amazonka-lookoutvision-2.0-3cIJAF9xWxx8xGDY24BOkS" 'False) (C1 ('MetaCons "Anomaly'" 'PrefixI 'True) (S1 ('MetaSel ('Just "name") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "pixelAnomaly") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe PixelAnomaly))))

newAnomaly :: Anomaly Source #

Create a value of Anomaly with all optional fields omitted.

Use 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:Anomaly', anomaly_name - The name of an anomaly type found in an image. Name maps to an anomaly type in the training dataset, apart from the anomaly type background. The service automatically inserts the background anomaly type into the response from DetectAnomalies.

$sel:pixelAnomaly:Anomaly', anomaly_pixelAnomaly - Information about the pixel mask that covers an anomaly type.

anomaly_name :: Lens' Anomaly (Maybe Text) Source #

The name of an anomaly type found in an image. Name maps to an anomaly type in the training dataset, apart from the anomaly type background. The service automatically inserts the background anomaly type into the response from DetectAnomalies.

anomaly_pixelAnomaly :: Lens' Anomaly (Maybe PixelAnomaly) Source #

Information about the pixel mask that covers an anomaly type.

DatasetDescription

data DatasetDescription Source #

The description for a dataset. For more information, see DescribeDataset.

See: newDatasetDescription smart constructor.

Constructors

DatasetDescription' 

Fields

Instances

Instances details
FromJSON DatasetDescription Source # 
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Defined in Amazonka.LookoutVision.Types.DatasetDescription

Generic DatasetDescription Source # 
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Defined in Amazonka.LookoutVision.Types.DatasetDescription

Associated Types

type Rep DatasetDescription :: Type -> Type #

Read DatasetDescription Source # 
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Defined in Amazonka.LookoutVision.Types.DatasetDescription

Show DatasetDescription Source # 
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Defined in Amazonka.LookoutVision.Types.DatasetDescription

NFData DatasetDescription Source # 
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Defined in Amazonka.LookoutVision.Types.DatasetDescription

Methods

rnf :: DatasetDescription -> () #

Eq DatasetDescription Source # 
Instance details

Defined in Amazonka.LookoutVision.Types.DatasetDescription

Hashable DatasetDescription Source # 
Instance details

Defined in Amazonka.LookoutVision.Types.DatasetDescription

type Rep DatasetDescription Source # 
Instance details

Defined in Amazonka.LookoutVision.Types.DatasetDescription

type Rep DatasetDescription = D1 ('MetaData "DatasetDescription" "Amazonka.LookoutVision.Types.DatasetDescription" "amazonka-lookoutvision-2.0-3cIJAF9xWxx8xGDY24BOkS" 'False) (C1 ('MetaCons "DatasetDescription'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "creationTimestamp") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :*: (S1 ('MetaSel ('Just "datasetType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "imageStats") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe DatasetImageStats)))) :*: ((S1 ('MetaSel ('Just "lastUpdatedTimestamp") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :*: S1 ('MetaSel ('Just "projectName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))) :*: (S1 ('MetaSel ('Just "status") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe DatasetStatus)) :*: S1 ('MetaSel ('Just "statusMessage") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))))

newDatasetDescription :: DatasetDescription Source #

Create a value of DatasetDescription with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:creationTimestamp:DatasetDescription', datasetDescription_creationTimestamp - The Unix timestamp for the time and date that the dataset was created.

$sel:datasetType:DatasetDescription', datasetDescription_datasetType - The type of the dataset. The value train represents a training dataset or single dataset project. The value test represents a test dataset.

$sel:imageStats:DatasetDescription', datasetDescription_imageStats - Statistics about the images in a dataset.

$sel:lastUpdatedTimestamp:DatasetDescription', datasetDescription_lastUpdatedTimestamp - The Unix timestamp for the date and time that the dataset was last updated.

$sel:projectName:DatasetDescription', datasetDescription_projectName - The name of the project that contains the dataset.

$sel:status:DatasetDescription', datasetDescription_status - The status of the dataset.

$sel:statusMessage:DatasetDescription', datasetDescription_statusMessage - The status message for the dataset.

datasetDescription_creationTimestamp :: Lens' DatasetDescription (Maybe UTCTime) Source #

The Unix timestamp for the time and date that the dataset was created.

datasetDescription_datasetType :: Lens' DatasetDescription (Maybe Text) Source #

The type of the dataset. The value train represents a training dataset or single dataset project. The value test represents a test dataset.

datasetDescription_lastUpdatedTimestamp :: Lens' DatasetDescription (Maybe UTCTime) Source #

The Unix timestamp for the date and time that the dataset was last updated.

datasetDescription_projectName :: Lens' DatasetDescription (Maybe Text) Source #

The name of the project that contains the dataset.

DatasetGroundTruthManifest

data DatasetGroundTruthManifest Source #

Location information about a manifest file. You can use a manifest file to create a dataset.

See: newDatasetGroundTruthManifest smart constructor.

Constructors

DatasetGroundTruthManifest' 

Fields

Instances

Instances details
ToJSON DatasetGroundTruthManifest Source # 
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Defined in Amazonka.LookoutVision.Types.DatasetGroundTruthManifest

Generic DatasetGroundTruthManifest Source # 
Instance details

Defined in Amazonka.LookoutVision.Types.DatasetGroundTruthManifest

Associated Types

type Rep DatasetGroundTruthManifest :: Type -> Type #

Read DatasetGroundTruthManifest Source # 
Instance details

Defined in Amazonka.LookoutVision.Types.DatasetGroundTruthManifest

Show DatasetGroundTruthManifest Source # 
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Defined in Amazonka.LookoutVision.Types.DatasetGroundTruthManifest

NFData DatasetGroundTruthManifest Source # 
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Defined in Amazonka.LookoutVision.Types.DatasetGroundTruthManifest

Eq DatasetGroundTruthManifest Source # 
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Defined in Amazonka.LookoutVision.Types.DatasetGroundTruthManifest

Hashable DatasetGroundTruthManifest Source # 
Instance details

Defined in Amazonka.LookoutVision.Types.DatasetGroundTruthManifest

type Rep DatasetGroundTruthManifest Source # 
Instance details

Defined in Amazonka.LookoutVision.Types.DatasetGroundTruthManifest

type Rep DatasetGroundTruthManifest = D1 ('MetaData "DatasetGroundTruthManifest" "Amazonka.LookoutVision.Types.DatasetGroundTruthManifest" "amazonka-lookoutvision-2.0-3cIJAF9xWxx8xGDY24BOkS" 'False) (C1 ('MetaCons "DatasetGroundTruthManifest'" 'PrefixI 'True) (S1 ('MetaSel ('Just "s3Object") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe InputS3Object))))

newDatasetGroundTruthManifest :: DatasetGroundTruthManifest Source #

Create a value of DatasetGroundTruthManifest with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:s3Object:DatasetGroundTruthManifest', datasetGroundTruthManifest_s3Object - The S3 bucket location for the manifest file.

DatasetImageStats

data DatasetImageStats Source #

Statistics about the images in a dataset.

See: newDatasetImageStats smart constructor.

Constructors

DatasetImageStats' 

Fields

Instances

Instances details
FromJSON DatasetImageStats Source # 
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Defined in Amazonka.LookoutVision.Types.DatasetImageStats

Generic DatasetImageStats Source # 
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Defined in Amazonka.LookoutVision.Types.DatasetImageStats

Associated Types

type Rep DatasetImageStats :: Type -> Type #

Read DatasetImageStats Source # 
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Defined in Amazonka.LookoutVision.Types.DatasetImageStats

Show DatasetImageStats Source # 
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Defined in Amazonka.LookoutVision.Types.DatasetImageStats

NFData DatasetImageStats Source # 
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Defined in Amazonka.LookoutVision.Types.DatasetImageStats

Methods

rnf :: DatasetImageStats -> () #

Eq DatasetImageStats Source # 
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Defined in Amazonka.LookoutVision.Types.DatasetImageStats

Hashable DatasetImageStats Source # 
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Defined in Amazonka.LookoutVision.Types.DatasetImageStats

type Rep DatasetImageStats Source # 
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Defined in Amazonka.LookoutVision.Types.DatasetImageStats

type Rep DatasetImageStats = D1 ('MetaData "DatasetImageStats" "Amazonka.LookoutVision.Types.DatasetImageStats" "amazonka-lookoutvision-2.0-3cIJAF9xWxx8xGDY24BOkS" 'False) (C1 ('MetaCons "DatasetImageStats'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "anomaly") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Int)) :*: S1 ('MetaSel ('Just "labeled") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Int))) :*: (S1 ('MetaSel ('Just "normal") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Int)) :*: S1 ('MetaSel ('Just "total") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Int)))))

newDatasetImageStats :: DatasetImageStats Source #

Create a value of DatasetImageStats with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:anomaly:DatasetImageStats', datasetImageStats_anomaly - the total number of images labeled as an anomaly.

$sel:labeled:DatasetImageStats', datasetImageStats_labeled - The total number of labeled images.

$sel:normal:DatasetImageStats', datasetImageStats_normal - The total number of images labeled as normal.

$sel:total:DatasetImageStats', datasetImageStats_total - The total number of images in the dataset.

datasetImageStats_anomaly :: Lens' DatasetImageStats (Maybe Int) Source #

the total number of images labeled as an anomaly.

datasetImageStats_labeled :: Lens' DatasetImageStats (Maybe Int) Source #

The total number of labeled images.

datasetImageStats_normal :: Lens' DatasetImageStats (Maybe Int) Source #

The total number of images labeled as normal.

datasetImageStats_total :: Lens' DatasetImageStats (Maybe Int) Source #

The total number of images in the dataset.

DatasetMetadata

data DatasetMetadata Source #

Summary information for an Amazon Lookout for Vision dataset. For more information, see DescribeDataset and ProjectDescription.

See: newDatasetMetadata smart constructor.

Constructors

DatasetMetadata' 

Fields

Instances

Instances details
FromJSON DatasetMetadata Source # 
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Defined in Amazonka.LookoutVision.Types.DatasetMetadata

Generic DatasetMetadata Source # 
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Defined in Amazonka.LookoutVision.Types.DatasetMetadata

Associated Types

type Rep DatasetMetadata :: Type -> Type #

Read DatasetMetadata Source # 
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Defined in Amazonka.LookoutVision.Types.DatasetMetadata

Show DatasetMetadata Source # 
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Defined in Amazonka.LookoutVision.Types.DatasetMetadata

NFData DatasetMetadata Source # 
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Defined in Amazonka.LookoutVision.Types.DatasetMetadata

Methods

rnf :: DatasetMetadata -> () #

Eq DatasetMetadata Source # 
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Defined in Amazonka.LookoutVision.Types.DatasetMetadata

Hashable DatasetMetadata Source # 
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Defined in Amazonka.LookoutVision.Types.DatasetMetadata

type Rep DatasetMetadata Source # 
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Defined in Amazonka.LookoutVision.Types.DatasetMetadata

type Rep DatasetMetadata = D1 ('MetaData "DatasetMetadata" "Amazonka.LookoutVision.Types.DatasetMetadata" "amazonka-lookoutvision-2.0-3cIJAF9xWxx8xGDY24BOkS" 'False) (C1 ('MetaCons "DatasetMetadata'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "creationTimestamp") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :*: S1 ('MetaSel ('Just "datasetType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))) :*: (S1 ('MetaSel ('Just "status") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe DatasetStatus)) :*: S1 ('MetaSel ('Just "statusMessage") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))))

newDatasetMetadata :: DatasetMetadata Source #

Create a value of DatasetMetadata with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:creationTimestamp:DatasetMetadata', datasetMetadata_creationTimestamp - The Unix timestamp for the date and time that the dataset was created.

$sel:datasetType:DatasetMetadata', datasetMetadata_datasetType - The type of the dataset.

$sel:status:DatasetMetadata', datasetMetadata_status - The status for the dataset.

$sel:statusMessage:DatasetMetadata', datasetMetadata_statusMessage - The status message for the dataset.

datasetMetadata_creationTimestamp :: Lens' DatasetMetadata (Maybe UTCTime) Source #

The Unix timestamp for the date and time that the dataset was created.

datasetMetadata_statusMessage :: Lens' DatasetMetadata (Maybe Text) Source #

The status message for the dataset.

DatasetSource

data DatasetSource Source #

Information about the location of a manifest file that Amazon Lookout for Vision uses to to create a dataset.

See: newDatasetSource smart constructor.

Constructors

DatasetSource' 

Fields

Instances

Instances details
ToJSON DatasetSource Source # 
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Defined in Amazonka.LookoutVision.Types.DatasetSource

Generic DatasetSource Source # 
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Defined in Amazonka.LookoutVision.Types.DatasetSource

Associated Types

type Rep DatasetSource :: Type -> Type #

Read DatasetSource Source # 
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Defined in Amazonka.LookoutVision.Types.DatasetSource

Show DatasetSource Source # 
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Defined in Amazonka.LookoutVision.Types.DatasetSource

NFData DatasetSource Source # 
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Defined in Amazonka.LookoutVision.Types.DatasetSource

Methods

rnf :: DatasetSource -> () #

Eq DatasetSource Source # 
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Defined in Amazonka.LookoutVision.Types.DatasetSource

Hashable DatasetSource Source # 
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Defined in Amazonka.LookoutVision.Types.DatasetSource

type Rep DatasetSource Source # 
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Defined in Amazonka.LookoutVision.Types.DatasetSource

type Rep DatasetSource = D1 ('MetaData "DatasetSource" "Amazonka.LookoutVision.Types.DatasetSource" "amazonka-lookoutvision-2.0-3cIJAF9xWxx8xGDY24BOkS" 'False) (C1 ('MetaCons "DatasetSource'" 'PrefixI 'True) (S1 ('MetaSel ('Just "groundTruthManifest") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe DatasetGroundTruthManifest))))

newDatasetSource :: DatasetSource Source #

Create a value of DatasetSource with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:groundTruthManifest:DatasetSource', datasetSource_groundTruthManifest - Location information for the manifest file.

DetectAnomalyResult

data DetectAnomalyResult Source #

The prediction results from a call to DetectAnomalies. DetectAnomalyResult includes classification information for the prediction (IsAnomalous and Confidence). If the model you use is an image segementation model, DetectAnomalyResult also includes segmentation information (Anomalies and AnomalyMask). Classification information is calculated separately from segmentation information and you shouldn't assume a relationship between them.

See: newDetectAnomalyResult smart constructor.

Constructors

DetectAnomalyResult' 

Fields

  • anomalies :: Maybe [Anomaly]

    If the model is an image segmentation model, Anomalies contains a list of anomaly types found in the image. There is one entry for each type of anomaly found (even if multiple instances of an anomaly type exist on the image). The first element in the list is always an anomaly type representing the image background ('background') and shouldn't be considered an anomaly. Amazon Lookout for Vision automatically add the background anomaly type to the response, and you don't need to declare a background anomaly type in your dataset.

    If the list has one entry ('background'), no anomalies were found on the image.

    An image classification model doesn't return an Anomalies list.

  • anomalyMask :: Maybe Base64

    If the model is an image segmentation model, AnomalyMask contains pixel masks that covers all anomaly types found on the image. Each anomaly type has a different mask color. To map a color to an anomaly type, see the color field of the PixelAnomaly object.

    An image classification model doesn't return an Anomalies list.

  • confidence :: Maybe Double

    The confidence that Lookout for Vision has in the accuracy of the classification in IsAnomalous.

  • isAnomalous :: Maybe Bool

    True if Amazon Lookout for Vision classifies the image as containing an anomaly, otherwise false.

  • source :: Maybe ImageSource

    The source of the image that was analyzed. direct means that the images was supplied from the local computer. No other values are supported.

Instances

Instances details
FromJSON DetectAnomalyResult Source # 
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Defined in Amazonka.LookoutVision.Types.DetectAnomalyResult

Generic DetectAnomalyResult Source # 
Instance details

Defined in Amazonka.LookoutVision.Types.DetectAnomalyResult

Associated Types

type Rep DetectAnomalyResult :: Type -> Type #

Read DetectAnomalyResult Source # 
Instance details

Defined in Amazonka.LookoutVision.Types.DetectAnomalyResult

Show DetectAnomalyResult Source # 
Instance details

Defined in Amazonka.LookoutVision.Types.DetectAnomalyResult

NFData DetectAnomalyResult Source # 
Instance details

Defined in Amazonka.LookoutVision.Types.DetectAnomalyResult

Methods

rnf :: DetectAnomalyResult -> () #

Eq DetectAnomalyResult Source # 
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Defined in Amazonka.LookoutVision.Types.DetectAnomalyResult

Hashable DetectAnomalyResult Source # 
Instance details

Defined in Amazonka.LookoutVision.Types.DetectAnomalyResult

type Rep DetectAnomalyResult Source # 
Instance details

Defined in Amazonka.LookoutVision.Types.DetectAnomalyResult

type Rep DetectAnomalyResult = D1 ('MetaData "DetectAnomalyResult" "Amazonka.LookoutVision.Types.DetectAnomalyResult" "amazonka-lookoutvision-2.0-3cIJAF9xWxx8xGDY24BOkS" 'False) (C1 ('MetaCons "DetectAnomalyResult'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "anomalies") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [Anomaly])) :*: S1 ('MetaSel ('Just "anomalyMask") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Base64))) :*: (S1 ('MetaSel ('Just "confidence") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double)) :*: (S1 ('MetaSel ('Just "isAnomalous") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Bool)) :*: S1 ('MetaSel ('Just "source") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ImageSource))))))

newDetectAnomalyResult :: DetectAnomalyResult Source #

Create a value of DetectAnomalyResult with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:anomalies:DetectAnomalyResult', detectAnomalyResult_anomalies - If the model is an image segmentation model, Anomalies contains a list of anomaly types found in the image. There is one entry for each type of anomaly found (even if multiple instances of an anomaly type exist on the image). The first element in the list is always an anomaly type representing the image background ('background') and shouldn't be considered an anomaly. Amazon Lookout for Vision automatically add the background anomaly type to the response, and you don't need to declare a background anomaly type in your dataset.

If the list has one entry ('background'), no anomalies were found on the image.

An image classification model doesn't return an Anomalies list.

$sel:anomalyMask:DetectAnomalyResult', detectAnomalyResult_anomalyMask - If the model is an image segmentation model, AnomalyMask contains pixel masks that covers all anomaly types found on the image. Each anomaly type has a different mask color. To map a color to an anomaly type, see the color field of the PixelAnomaly object.

An image classification model doesn't return an Anomalies list.-- -- Note: This Lens automatically encodes and decodes Base64 data. -- The underlying isomorphism will encode to Base64 representation during -- serialisation, and decode from Base64 representation during deserialisation. -- This Lens accepts and returns only raw unencoded data.

$sel:confidence:DetectAnomalyResult', detectAnomalyResult_confidence - The confidence that Lookout for Vision has in the accuracy of the classification in IsAnomalous.

$sel:isAnomalous:DetectAnomalyResult', detectAnomalyResult_isAnomalous - True if Amazon Lookout for Vision classifies the image as containing an anomaly, otherwise false.

$sel:source:DetectAnomalyResult', detectAnomalyResult_source - The source of the image that was analyzed. direct means that the images was supplied from the local computer. No other values are supported.

detectAnomalyResult_anomalies :: Lens' DetectAnomalyResult (Maybe [Anomaly]) Source #

If the model is an image segmentation model, Anomalies contains a list of anomaly types found in the image. There is one entry for each type of anomaly found (even if multiple instances of an anomaly type exist on the image). The first element in the list is always an anomaly type representing the image background ('background') and shouldn't be considered an anomaly. Amazon Lookout for Vision automatically add the background anomaly type to the response, and you don't need to declare a background anomaly type in your dataset.

If the list has one entry ('background'), no anomalies were found on the image.

An image classification model doesn't return an Anomalies list.

detectAnomalyResult_anomalyMask :: Lens' DetectAnomalyResult (Maybe ByteString) Source #

If the model is an image segmentation model, AnomalyMask contains pixel masks that covers all anomaly types found on the image. Each anomaly type has a different mask color. To map a color to an anomaly type, see the color field of the PixelAnomaly object.

An image classification model doesn't return an Anomalies list.-- -- Note: This Lens automatically encodes and decodes Base64 data. -- The underlying isomorphism will encode to Base64 representation during -- serialisation, and decode from Base64 representation during deserialisation. -- This Lens accepts and returns only raw unencoded data.

detectAnomalyResult_confidence :: Lens' DetectAnomalyResult (Maybe Double) Source #

The confidence that Lookout for Vision has in the accuracy of the classification in IsAnomalous.

detectAnomalyResult_isAnomalous :: Lens' DetectAnomalyResult (Maybe Bool) Source #

True if Amazon Lookout for Vision classifies the image as containing an anomaly, otherwise false.

detectAnomalyResult_source :: Lens' DetectAnomalyResult (Maybe ImageSource) Source #

The source of the image that was analyzed. direct means that the images was supplied from the local computer. No other values are supported.

GreengrassConfiguration

data GreengrassConfiguration Source #

Configuration information for the AWS IoT Greengrass component created in a model packaging job. For more information, see StartModelPackagingJob.

You can't specify a component with the same ComponentName and Componentversion as an existing component with the same component name and component version.

See: newGreengrassConfiguration smart constructor.

Constructors

GreengrassConfiguration' 

Fields

  • compilerOptions :: Maybe Text

    Additional compiler options for the Greengrass component. Currently, only NVIDIA Graphics Processing Units (GPU) and CPU accelerators are supported. If you specify TargetDevice, don't specify CompilerOptions.

    For more information, see Compiler options in the Amazon Lookout for Vision Developer Guide.

  • componentDescription :: Maybe Text

    A description for the AWS IoT Greengrass component.

  • componentVersion :: Maybe Text

    A Version for the AWS IoT Greengrass component. If you don't provide a value, a default value of Model Version.0.0 is used.

  • tags :: Maybe [Tag]

    A set of tags (key-value pairs) that you want to attach to the AWS IoT Greengrass component.

  • targetDevice :: Maybe TargetDevice

    The target device for the model. Currently the only supported value is jetson_xavier. If you specify TargetDevice, you can't specify TargetPlatform.

  • targetPlatform :: Maybe TargetPlatform

    The target platform for the model. If you specify TargetPlatform, you can't specify TargetDevice.

  • s3OutputLocation :: S3Location

    An S3 location in which Lookout for Vision stores the component artifacts.

  • componentName :: Text

    A name for the AWS IoT Greengrass component.

Instances

Instances details
FromJSON GreengrassConfiguration Source # 
Instance details

Defined in Amazonka.LookoutVision.Types.GreengrassConfiguration

ToJSON GreengrassConfiguration Source # 
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Defined in Amazonka.LookoutVision.Types.GreengrassConfiguration

Generic GreengrassConfiguration Source # 
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Defined in Amazonka.LookoutVision.Types.GreengrassConfiguration

Associated Types

type Rep GreengrassConfiguration :: Type -> Type #

Read GreengrassConfiguration Source # 
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Defined in Amazonka.LookoutVision.Types.GreengrassConfiguration

Show GreengrassConfiguration Source # 
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Defined in Amazonka.LookoutVision.Types.GreengrassConfiguration

NFData GreengrassConfiguration Source # 
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Defined in Amazonka.LookoutVision.Types.GreengrassConfiguration

Methods

rnf :: GreengrassConfiguration -> () #

Eq GreengrassConfiguration Source # 
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Defined in Amazonka.LookoutVision.Types.GreengrassConfiguration

Hashable GreengrassConfiguration Source # 
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Defined in Amazonka.LookoutVision.Types.GreengrassConfiguration

type Rep GreengrassConfiguration Source # 
Instance details

Defined in Amazonka.LookoutVision.Types.GreengrassConfiguration

type Rep GreengrassConfiguration = D1 ('MetaData "GreengrassConfiguration" "Amazonka.LookoutVision.Types.GreengrassConfiguration" "amazonka-lookoutvision-2.0-3cIJAF9xWxx8xGDY24BOkS" 'False) (C1 ('MetaCons "GreengrassConfiguration'" 'PrefixI 'True) (((S1 ('MetaSel ('Just "compilerOptions") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "componentDescription") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))) :*: (S1 ('MetaSel ('Just "componentVersion") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "tags") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [Tag])))) :*: ((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 S3Location) :*: S1 ('MetaSel ('Just "componentName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))))

newGreengrassConfiguration Source #

Create a value of GreengrassConfiguration with all optional fields omitted.

Use 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:GreengrassConfiguration', greengrassConfiguration_compilerOptions - Additional compiler options for the Greengrass component. Currently, only NVIDIA Graphics Processing Units (GPU) and CPU accelerators are supported. If you specify TargetDevice, don't specify CompilerOptions.

For more information, see Compiler options in the Amazon Lookout for Vision Developer Guide.

$sel:componentDescription:GreengrassConfiguration', greengrassConfiguration_componentDescription - A description for the AWS IoT Greengrass component.

$sel:componentVersion:GreengrassConfiguration', greengrassConfiguration_componentVersion - A Version for the AWS IoT Greengrass component. If you don't provide a value, a default value of Model Version.0.0 is used.

$sel:tags:GreengrassConfiguration', greengrassConfiguration_tags - A set of tags (key-value pairs) that you want to attach to the AWS IoT Greengrass component.

$sel:targetDevice:GreengrassConfiguration', greengrassConfiguration_targetDevice - The target device for the model. Currently the only supported value is jetson_xavier. If you specify TargetDevice, you can't specify TargetPlatform.

$sel:targetPlatform:GreengrassConfiguration', greengrassConfiguration_targetPlatform - The target platform for the model. If you specify TargetPlatform, you can't specify TargetDevice.

$sel:s3OutputLocation:GreengrassConfiguration', greengrassConfiguration_s3OutputLocation - An S3 location in which Lookout for Vision stores the component artifacts.

$sel:componentName:GreengrassConfiguration', greengrassConfiguration_componentName - A name for the AWS IoT Greengrass component.

greengrassConfiguration_compilerOptions :: Lens' GreengrassConfiguration (Maybe Text) Source #

Additional compiler options for the Greengrass component. Currently, only NVIDIA Graphics Processing Units (GPU) and CPU accelerators are supported. If you specify TargetDevice, don't specify CompilerOptions.

For more information, see Compiler options in the Amazon Lookout for Vision Developer Guide.

greengrassConfiguration_componentDescription :: Lens' GreengrassConfiguration (Maybe Text) Source #

A description for the AWS IoT Greengrass component.

greengrassConfiguration_componentVersion :: Lens' GreengrassConfiguration (Maybe Text) Source #

A Version for the AWS IoT Greengrass component. If you don't provide a value, a default value of Model Version.0.0 is used.

greengrassConfiguration_tags :: Lens' GreengrassConfiguration (Maybe [Tag]) Source #

A set of tags (key-value pairs) that you want to attach to the AWS IoT Greengrass component.

greengrassConfiguration_targetDevice :: Lens' GreengrassConfiguration (Maybe TargetDevice) Source #

The target device for the model. Currently the only supported value is jetson_xavier. If you specify TargetDevice, you can't specify TargetPlatform.

greengrassConfiguration_targetPlatform :: Lens' GreengrassConfiguration (Maybe TargetPlatform) Source #

The target platform for the model. If you specify TargetPlatform, you can't specify TargetDevice.

greengrassConfiguration_s3OutputLocation :: Lens' GreengrassConfiguration S3Location Source #

An S3 location in which Lookout for Vision stores the component artifacts.

greengrassConfiguration_componentName :: Lens' GreengrassConfiguration Text Source #

A name for the AWS IoT Greengrass component.

GreengrassOutputDetails

data GreengrassOutputDetails Source #

Information about the AWS IoT Greengrass component created by a model packaging job.

See: newGreengrassOutputDetails smart constructor.

Constructors

GreengrassOutputDetails' 

Fields

Instances

Instances details
FromJSON GreengrassOutputDetails Source # 
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Defined in Amazonka.LookoutVision.Types.GreengrassOutputDetails

Generic GreengrassOutputDetails Source # 
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Defined in Amazonka.LookoutVision.Types.GreengrassOutputDetails

Associated Types

type Rep GreengrassOutputDetails :: Type -> Type #

Read GreengrassOutputDetails Source # 
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Defined in Amazonka.LookoutVision.Types.GreengrassOutputDetails

Show GreengrassOutputDetails Source # 
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Defined in Amazonka.LookoutVision.Types.GreengrassOutputDetails

NFData GreengrassOutputDetails Source # 
Instance details

Defined in Amazonka.LookoutVision.Types.GreengrassOutputDetails

Methods

rnf :: GreengrassOutputDetails -> () #

Eq GreengrassOutputDetails Source # 
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Defined in Amazonka.LookoutVision.Types.GreengrassOutputDetails

Hashable GreengrassOutputDetails Source # 
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Defined in Amazonka.LookoutVision.Types.GreengrassOutputDetails

type Rep GreengrassOutputDetails Source # 
Instance details

Defined in Amazonka.LookoutVision.Types.GreengrassOutputDetails

type Rep GreengrassOutputDetails = D1 ('MetaData "GreengrassOutputDetails" "Amazonka.LookoutVision.Types.GreengrassOutputDetails" "amazonka-lookoutvision-2.0-3cIJAF9xWxx8xGDY24BOkS" 'False) (C1 ('MetaCons "GreengrassOutputDetails'" 'PrefixI 'True) (S1 ('MetaSel ('Just "componentName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: (S1 ('MetaSel ('Just "componentVersion") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "componentVersionArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))))

newGreengrassOutputDetails :: GreengrassOutputDetails Source #

Create a value of GreengrassOutputDetails with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:componentName:GreengrassOutputDetails', greengrassOutputDetails_componentName - The name of the component.

$sel:componentVersion:GreengrassOutputDetails', greengrassOutputDetails_componentVersion - The version of the component.

$sel:componentVersionArn:GreengrassOutputDetails', greengrassOutputDetails_componentVersionArn - The Amazon Resource Name (ARN) of the component.

greengrassOutputDetails_componentVersionArn :: Lens' GreengrassOutputDetails (Maybe Text) Source #

The Amazon Resource Name (ARN) of the component.

ImageSource

data ImageSource Source #

The source for an image.

See: newImageSource smart constructor.

Constructors

ImageSource' 

Fields

Instances

Instances details
FromJSON ImageSource Source # 
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Defined in Amazonka.LookoutVision.Types.ImageSource

Generic ImageSource Source # 
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Defined in Amazonka.LookoutVision.Types.ImageSource

Associated Types

type Rep ImageSource :: Type -> Type #

Read ImageSource Source # 
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Defined in Amazonka.LookoutVision.Types.ImageSource

Show ImageSource Source # 
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Defined in Amazonka.LookoutVision.Types.ImageSource

NFData ImageSource Source # 
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Defined in Amazonka.LookoutVision.Types.ImageSource

Methods

rnf :: ImageSource -> () #

Eq ImageSource Source # 
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Defined in Amazonka.LookoutVision.Types.ImageSource

Hashable ImageSource Source # 
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Defined in Amazonka.LookoutVision.Types.ImageSource

type Rep ImageSource Source # 
Instance details

Defined in Amazonka.LookoutVision.Types.ImageSource

type Rep ImageSource = D1 ('MetaData "ImageSource" "Amazonka.LookoutVision.Types.ImageSource" "amazonka-lookoutvision-2.0-3cIJAF9xWxx8xGDY24BOkS" 'False) (C1 ('MetaCons "ImageSource'" 'PrefixI 'True) (S1 ('MetaSel ('Just "type'") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))

newImageSource :: ImageSource Source #

Create a value of ImageSource with all optional fields omitted.

Use 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':ImageSource', imageSource_type - The type of the image.

imageSource_type :: Lens' ImageSource (Maybe Text) Source #

The type of the image.

InputS3Object

data InputS3Object Source #

Amazon S3 Location information for an input manifest file.

See: newInputS3Object smart constructor.

Constructors

InputS3Object' 

Fields

  • versionId :: Maybe Text

    The version ID of the bucket.

  • bucket :: Text

    The Amazon S3 bucket that contains the manifest.

  • key :: Text

    The name and location of the manifest file withiin the bucket.

Instances

Instances details
ToJSON InputS3Object Source # 
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Defined in Amazonka.LookoutVision.Types.InputS3Object

Generic InputS3Object Source # 
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Defined in Amazonka.LookoutVision.Types.InputS3Object

Associated Types

type Rep InputS3Object :: Type -> Type #

Read InputS3Object Source # 
Instance details

Defined in Amazonka.LookoutVision.Types.InputS3Object

Show InputS3Object Source # 
Instance details

Defined in Amazonka.LookoutVision.Types.InputS3Object

NFData InputS3Object Source # 
Instance details

Defined in Amazonka.LookoutVision.Types.InputS3Object

Methods

rnf :: InputS3Object -> () #

Eq InputS3Object Source # 
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Defined in Amazonka.LookoutVision.Types.InputS3Object

Hashable InputS3Object Source # 
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Defined in Amazonka.LookoutVision.Types.InputS3Object

type Rep InputS3Object Source # 
Instance details

Defined in Amazonka.LookoutVision.Types.InputS3Object

type Rep InputS3Object = D1 ('MetaData "InputS3Object" "Amazonka.LookoutVision.Types.InputS3Object" "amazonka-lookoutvision-2.0-3cIJAF9xWxx8xGDY24BOkS" 'False) (C1 ('MetaCons "InputS3Object'" 'PrefixI 'True) (S1 ('MetaSel ('Just "versionId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: (S1 ('MetaSel ('Just "bucket") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: S1 ('MetaSel ('Just "key") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text))))

newInputS3Object Source #

Create a value of InputS3Object with all optional fields omitted.

Use 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:InputS3Object', inputS3Object_versionId - The version ID of the bucket.

$sel:bucket:InputS3Object', inputS3Object_bucket - The Amazon S3 bucket that contains the manifest.

$sel:key:InputS3Object', inputS3Object_key - The name and location of the manifest file withiin the bucket.

inputS3Object_versionId :: Lens' InputS3Object (Maybe Text) Source #

The version ID of the bucket.

inputS3Object_bucket :: Lens' InputS3Object Text Source #

The Amazon S3 bucket that contains the manifest.

inputS3Object_key :: Lens' InputS3Object Text Source #

The name and location of the manifest file withiin the bucket.

ModelDescription

data ModelDescription Source #

Describes an Amazon Lookout for Vision model.

See: newModelDescription smart constructor.

Constructors

ModelDescription' 

Fields

Instances

Instances details
FromJSON ModelDescription Source # 
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Defined in Amazonka.LookoutVision.Types.ModelDescription

Generic ModelDescription Source # 
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Defined in Amazonka.LookoutVision.Types.ModelDescription

Associated Types

type Rep ModelDescription :: Type -> Type #

Read ModelDescription Source # 
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Defined in Amazonka.LookoutVision.Types.ModelDescription

Show ModelDescription Source # 
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Defined in Amazonka.LookoutVision.Types.ModelDescription

NFData ModelDescription Source # 
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Defined in Amazonka.LookoutVision.Types.ModelDescription

Methods

rnf :: ModelDescription -> () #

Eq ModelDescription Source # 
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Defined in Amazonka.LookoutVision.Types.ModelDescription

Hashable ModelDescription Source # 
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Defined in Amazonka.LookoutVision.Types.ModelDescription

type Rep ModelDescription Source # 
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Defined in Amazonka.LookoutVision.Types.ModelDescription

type Rep ModelDescription = D1 ('MetaData "ModelDescription" "Amazonka.LookoutVision.Types.ModelDescription" "amazonka-lookoutvision-2.0-3cIJAF9xWxx8xGDY24BOkS" 'False) (C1 ('MetaCons "ModelDescription'" 'PrefixI 'True) (((S1 ('MetaSel ('Just "creationTimestamp") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :*: (S1 ('MetaSel ('Just "description") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "evaluationEndTimestamp") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)))) :*: ((S1 ('MetaSel ('Just "evaluationManifest") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe OutputS3Object)) :*: S1 ('MetaSel ('Just "evaluationResult") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe OutputS3Object))) :*: (S1 ('MetaSel ('Just "kmsKeyId") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "maxInferenceUnits") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural))))) :*: ((S1 ('MetaSel ('Just "minInferenceUnits") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural)) :*: (S1 ('MetaSel ('Just "modelArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "modelVersion") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))) :*: ((S1 ('MetaSel ('Just "outputConfig") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe OutputConfig)) :*: S1 ('MetaSel ('Just "performance") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ModelPerformance))) :*: (S1 ('MetaSel ('Just "status") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ModelStatus)) :*: S1 ('MetaSel ('Just "statusMessage") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))))))

newModelDescription :: ModelDescription Source #

Create a value of ModelDescription with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:creationTimestamp:ModelDescription', modelDescription_creationTimestamp - The unix timestamp for the date and time that the model was created.

$sel:description:ModelDescription', modelDescription_description - The description for the model.

$sel:evaluationEndTimestamp:ModelDescription', modelDescription_evaluationEndTimestamp - The unix timestamp for the date and time that the evaluation ended.

$sel:evaluationManifest:ModelDescription', modelDescription_evaluationManifest - The S3 location where Amazon Lookout for Vision saves the manifest file that was used to test the trained model and generate the performance scores.

$sel:evaluationResult:ModelDescription', modelDescription_evaluationResult - The S3 location where Amazon Lookout for Vision saves the performance metrics.

$sel:kmsKeyId:ModelDescription', modelDescription_kmsKeyId - The identifer for the AWS Key Management Service (AWS KMS) key that was used to encrypt the model during training.

$sel:maxInferenceUnits:ModelDescription', modelDescription_maxInferenceUnits - The maximum number of inference units Amazon Lookout for Vision uses to auto-scale the model. For more information, see StartModel.

$sel:minInferenceUnits:ModelDescription', modelDescription_minInferenceUnits - The minimum number of inference units used by the model. For more information, see StartModel

$sel:modelArn:ModelDescription', modelDescription_modelArn - The Amazon Resource Name (ARN) of the model.

$sel:modelVersion:ModelDescription', modelDescription_modelVersion - The version of the model

$sel:outputConfig:ModelDescription', modelDescription_outputConfig - The S3 location where Amazon Lookout for Vision saves model training files.

$sel:performance:ModelDescription', modelDescription_performance - Performance metrics for the model. Created during training.

$sel:status:ModelDescription', modelDescription_status - The status of the model.

$sel:statusMessage:ModelDescription', modelDescription_statusMessage - The status message for the model.

modelDescription_creationTimestamp :: Lens' ModelDescription (Maybe UTCTime) Source #

The unix timestamp for the date and time that the model was created.

modelDescription_evaluationEndTimestamp :: Lens' ModelDescription (Maybe UTCTime) Source #

The unix timestamp for the date and time that the evaluation ended.

modelDescription_evaluationManifest :: Lens' ModelDescription (Maybe OutputS3Object) Source #

The S3 location where Amazon Lookout for Vision saves the manifest file that was used to test the trained model and generate the performance scores.

modelDescription_evaluationResult :: Lens' ModelDescription (Maybe OutputS3Object) Source #

The S3 location where Amazon Lookout for Vision saves the performance metrics.

modelDescription_kmsKeyId :: Lens' ModelDescription (Maybe Text) Source #

The identifer for the AWS Key Management Service (AWS KMS) key that was used to encrypt the model during training.

modelDescription_maxInferenceUnits :: Lens' ModelDescription (Maybe Natural) Source #

The maximum number of inference units Amazon Lookout for Vision uses to auto-scale the model. For more information, see StartModel.

modelDescription_minInferenceUnits :: Lens' ModelDescription (Maybe Natural) Source #

The minimum number of inference units used by the model. For more information, see StartModel

modelDescription_modelArn :: Lens' ModelDescription (Maybe Text) Source #

The Amazon Resource Name (ARN) of the model.

modelDescription_outputConfig :: Lens' ModelDescription (Maybe OutputConfig) Source #

The S3 location where Amazon Lookout for Vision saves model training files.

modelDescription_performance :: Lens' ModelDescription (Maybe ModelPerformance) Source #

Performance metrics for the model. Created during training.

ModelMetadata

data ModelMetadata Source #

Describes an Amazon Lookout for Vision model.

See: newModelMetadata smart constructor.

Constructors

ModelMetadata' 

Fields

Instances

Instances details
FromJSON ModelMetadata Source # 
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Defined in Amazonka.LookoutVision.Types.ModelMetadata

Generic ModelMetadata Source # 
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Defined in Amazonka.LookoutVision.Types.ModelMetadata

Associated Types

type Rep ModelMetadata :: Type -> Type #

Read ModelMetadata Source # 
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Defined in Amazonka.LookoutVision.Types.ModelMetadata

Show ModelMetadata Source # 
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Defined in Amazonka.LookoutVision.Types.ModelMetadata

NFData ModelMetadata Source # 
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Defined in Amazonka.LookoutVision.Types.ModelMetadata

Methods

rnf :: ModelMetadata -> () #

Eq ModelMetadata Source # 
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Defined in Amazonka.LookoutVision.Types.ModelMetadata

Hashable ModelMetadata Source # 
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Defined in Amazonka.LookoutVision.Types.ModelMetadata

type Rep ModelMetadata Source # 
Instance details

Defined in Amazonka.LookoutVision.Types.ModelMetadata

type Rep ModelMetadata = D1 ('MetaData "ModelMetadata" "Amazonka.LookoutVision.Types.ModelMetadata" "amazonka-lookoutvision-2.0-3cIJAF9xWxx8xGDY24BOkS" 'False) (C1 ('MetaCons "ModelMetadata'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "creationTimestamp") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :*: (S1 ('MetaSel ('Just "description") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "modelArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))) :*: ((S1 ('MetaSel ('Just "modelVersion") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "performance") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ModelPerformance))) :*: (S1 ('MetaSel ('Just "status") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ModelStatus)) :*: S1 ('MetaSel ('Just "statusMessage") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))))

newModelMetadata :: ModelMetadata Source #

Create a value of ModelMetadata with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:creationTimestamp:ModelMetadata', modelMetadata_creationTimestamp - The unix timestamp for the date and time that the model was created.

$sel:description:ModelMetadata', modelMetadata_description - The description for the model.

$sel:modelArn:ModelMetadata', modelMetadata_modelArn - The Amazon Resource Name (ARN) of the model.

$sel:modelVersion:ModelMetadata', modelMetadata_modelVersion - The version of the model.

$sel:performance:ModelMetadata', modelMetadata_performance - Performance metrics for the model. Not available until training has successfully completed.

$sel:status:ModelMetadata', modelMetadata_status - The status of the model.

$sel:statusMessage:ModelMetadata', modelMetadata_statusMessage - The status message for the model.

modelMetadata_creationTimestamp :: Lens' ModelMetadata (Maybe UTCTime) Source #

The unix timestamp for the date and time that the model was created.

modelMetadata_description :: Lens' ModelMetadata (Maybe Text) Source #

The description for the model.

modelMetadata_modelArn :: Lens' ModelMetadata (Maybe Text) Source #

The Amazon Resource Name (ARN) of the model.

modelMetadata_performance :: Lens' ModelMetadata (Maybe ModelPerformance) Source #

Performance metrics for the model. Not available until training has successfully completed.

modelMetadata_statusMessage :: Lens' ModelMetadata (Maybe Text) Source #

The status message for the model.

ModelPackagingConfiguration

data ModelPackagingConfiguration Source #

Configuration information for a Amazon Lookout for Vision model packaging job. For more information, see StartModelPackagingJob.

See: newModelPackagingConfiguration smart constructor.

Constructors

ModelPackagingConfiguration' 

Fields

Instances

Instances details
FromJSON ModelPackagingConfiguration Source # 
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Defined in Amazonka.LookoutVision.Types.ModelPackagingConfiguration

ToJSON ModelPackagingConfiguration Source # 
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Defined in Amazonka.LookoutVision.Types.ModelPackagingConfiguration

Generic ModelPackagingConfiguration Source # 
Instance details

Defined in Amazonka.LookoutVision.Types.ModelPackagingConfiguration

Associated Types

type Rep ModelPackagingConfiguration :: Type -> Type #

Read ModelPackagingConfiguration Source # 
Instance details

Defined in Amazonka.LookoutVision.Types.ModelPackagingConfiguration

Show ModelPackagingConfiguration Source # 
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Defined in Amazonka.LookoutVision.Types.ModelPackagingConfiguration

NFData ModelPackagingConfiguration Source # 
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Defined in Amazonka.LookoutVision.Types.ModelPackagingConfiguration

Eq ModelPackagingConfiguration Source # 
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Defined in Amazonka.LookoutVision.Types.ModelPackagingConfiguration

Hashable ModelPackagingConfiguration Source # 
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Defined in Amazonka.LookoutVision.Types.ModelPackagingConfiguration

type Rep ModelPackagingConfiguration Source # 
Instance details

Defined in Amazonka.LookoutVision.Types.ModelPackagingConfiguration

type Rep ModelPackagingConfiguration = D1 ('MetaData "ModelPackagingConfiguration" "Amazonka.LookoutVision.Types.ModelPackagingConfiguration" "amazonka-lookoutvision-2.0-3cIJAF9xWxx8xGDY24BOkS" 'False) (C1 ('MetaCons "ModelPackagingConfiguration'" 'PrefixI 'True) (S1 ('MetaSel ('Just "greengrass") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 GreengrassConfiguration)))

newModelPackagingConfiguration Source #

Create a value of ModelPackagingConfiguration with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:greengrass:ModelPackagingConfiguration', modelPackagingConfiguration_greengrass - Configuration information for the AWS IoT Greengrass component in a model packaging job.

modelPackagingConfiguration_greengrass :: Lens' ModelPackagingConfiguration GreengrassConfiguration Source #

Configuration information for the AWS IoT Greengrass component in a model packaging job.

ModelPackagingDescription

data ModelPackagingDescription Source #

Information about a model packaging job. For more information, see DescribeModelPackagingJob.

See: newModelPackagingDescription smart constructor.

Constructors

ModelPackagingDescription' 

Fields

Instances

Instances details
FromJSON ModelPackagingDescription Source # 
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Defined in Amazonka.LookoutVision.Types.ModelPackagingDescription

Generic ModelPackagingDescription Source # 
Instance details

Defined in Amazonka.LookoutVision.Types.ModelPackagingDescription

Associated Types

type Rep ModelPackagingDescription :: Type -> Type #

Read ModelPackagingDescription Source # 
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Defined in Amazonka.LookoutVision.Types.ModelPackagingDescription

Show ModelPackagingDescription Source # 
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Defined in Amazonka.LookoutVision.Types.ModelPackagingDescription

NFData ModelPackagingDescription Source # 
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Defined in Amazonka.LookoutVision.Types.ModelPackagingDescription

Eq ModelPackagingDescription Source # 
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Defined in Amazonka.LookoutVision.Types.ModelPackagingDescription

Hashable ModelPackagingDescription Source # 
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Defined in Amazonka.LookoutVision.Types.ModelPackagingDescription

type Rep ModelPackagingDescription Source # 
Instance details

Defined in Amazonka.LookoutVision.Types.ModelPackagingDescription

type Rep ModelPackagingDescription = D1 ('MetaData "ModelPackagingDescription" "Amazonka.LookoutVision.Types.ModelPackagingDescription" "amazonka-lookoutvision-2.0-3cIJAF9xWxx8xGDY24BOkS" 'False) (C1 ('MetaCons "ModelPackagingDescription'" 'PrefixI 'True) (((S1 ('MetaSel ('Just "creationTimestamp") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :*: S1 ('MetaSel ('Just "jobName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))) :*: (S1 ('MetaSel ('Just "lastUpdatedTimestamp") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :*: (S1 ('MetaSel ('Just "modelPackagingConfiguration") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ModelPackagingConfiguration)) :*: S1 ('MetaSel ('Just "modelPackagingJobDescription") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))))) :*: ((S1 ('MetaSel ('Just "modelPackagingMethod") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: (S1 ('MetaSel ('Just "modelPackagingOutputDetails") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ModelPackagingOutputDetails)) :*: S1 ('MetaSel ('Just "modelVersion") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))) :*: (S1 ('MetaSel ('Just "projectName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: (S1 ('MetaSel ('Just "status") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ModelPackagingJobStatus)) :*: S1 ('MetaSel ('Just "statusMessage") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))))))

newModelPackagingDescription :: ModelPackagingDescription Source #

Create a value of ModelPackagingDescription with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:creationTimestamp:ModelPackagingDescription', modelPackagingDescription_creationTimestamp - The Unix timestamp for the time and date that the model packaging job was created.

$sel:jobName:ModelPackagingDescription', modelPackagingDescription_jobName - The name of the model packaging job.

$sel:lastUpdatedTimestamp:ModelPackagingDescription', modelPackagingDescription_lastUpdatedTimestamp - The Unix timestamp for the time and date that the model packaging job was last updated.

$sel:modelPackagingConfiguration:ModelPackagingDescription', modelPackagingDescription_modelPackagingConfiguration - The configuration information used in the model packaging job.

$sel:modelPackagingJobDescription:ModelPackagingDescription', modelPackagingDescription_modelPackagingJobDescription - The description for the model packaging job.

$sel:modelPackagingMethod:ModelPackagingDescription', modelPackagingDescription_modelPackagingMethod - The AWS service used to package the job. Currently Lookout for Vision can package jobs with AWS IoT Greengrass.

$sel:modelPackagingOutputDetails:ModelPackagingDescription', modelPackagingDescription_modelPackagingOutputDetails - Information about the output of the model packaging job. For more information, see DescribeModelPackagingJob.

$sel:modelVersion:ModelPackagingDescription', modelPackagingDescription_modelVersion - The version of the model used in the model packaging job.

$sel:projectName:ModelPackagingDescription', modelPackagingDescription_projectName - The name of the project that's associated with a model that's in the model package.

$sel:status:ModelPackagingDescription', modelPackagingDescription_status - The status of the model packaging job.

$sel:statusMessage:ModelPackagingDescription', modelPackagingDescription_statusMessage - The status message for the model packaging job.

modelPackagingDescription_creationTimestamp :: Lens' ModelPackagingDescription (Maybe UTCTime) Source #

The Unix timestamp for the time and date that the model packaging job was created.

modelPackagingDescription_lastUpdatedTimestamp :: Lens' ModelPackagingDescription (Maybe UTCTime) Source #

The Unix timestamp for the time and date that the model packaging job was last updated.

modelPackagingDescription_modelPackagingMethod :: Lens' ModelPackagingDescription (Maybe Text) Source #

The AWS service used to package the job. Currently Lookout for Vision can package jobs with AWS IoT Greengrass.

modelPackagingDescription_modelPackagingOutputDetails :: Lens' ModelPackagingDescription (Maybe ModelPackagingOutputDetails) Source #

Information about the output of the model packaging job. For more information, see DescribeModelPackagingJob.

modelPackagingDescription_modelVersion :: Lens' ModelPackagingDescription (Maybe Text) Source #

The version of the model used in the model packaging job.

modelPackagingDescription_projectName :: Lens' ModelPackagingDescription (Maybe Text) Source #

The name of the project that's associated with a model that's in the model package.

modelPackagingDescription_statusMessage :: Lens' ModelPackagingDescription (Maybe Text) Source #

The status message for the model packaging job.

ModelPackagingJobMetadata

data ModelPackagingJobMetadata Source #

Metadata for a model packaging job. For more information, see ListModelPackagingJobs.

See: newModelPackagingJobMetadata smart constructor.

Constructors

ModelPackagingJobMetadata' 

Fields

Instances

Instances details
FromJSON ModelPackagingJobMetadata Source # 
Instance details

Defined in Amazonka.LookoutVision.Types.ModelPackagingJobMetadata

Generic ModelPackagingJobMetadata Source # 
Instance details

Defined in Amazonka.LookoutVision.Types.ModelPackagingJobMetadata

Associated Types

type Rep ModelPackagingJobMetadata :: Type -> Type #

Read ModelPackagingJobMetadata Source # 
Instance details

Defined in Amazonka.LookoutVision.Types.ModelPackagingJobMetadata

Show ModelPackagingJobMetadata Source # 
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Defined in Amazonka.LookoutVision.Types.ModelPackagingJobMetadata

NFData ModelPackagingJobMetadata Source # 
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Defined in Amazonka.LookoutVision.Types.ModelPackagingJobMetadata

Eq ModelPackagingJobMetadata Source # 
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Defined in Amazonka.LookoutVision.Types.ModelPackagingJobMetadata

Hashable ModelPackagingJobMetadata Source # 
Instance details

Defined in Amazonka.LookoutVision.Types.ModelPackagingJobMetadata

type Rep ModelPackagingJobMetadata Source # 
Instance details

Defined in Amazonka.LookoutVision.Types.ModelPackagingJobMetadata

type Rep ModelPackagingJobMetadata = D1 ('MetaData "ModelPackagingJobMetadata" "Amazonka.LookoutVision.Types.ModelPackagingJobMetadata" "amazonka-lookoutvision-2.0-3cIJAF9xWxx8xGDY24BOkS" 'False) (C1 ('MetaCons "ModelPackagingJobMetadata'" 'PrefixI 'True) (((S1 ('MetaSel ('Just "creationTimestamp") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :*: S1 ('MetaSel ('Just "jobName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))) :*: (S1 ('MetaSel ('Just "lastUpdatedTimestamp") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :*: S1 ('MetaSel ('Just "modelPackagingJobDescription") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))) :*: ((S1 ('MetaSel ('Just "modelPackagingMethod") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "modelVersion") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text))) :*: (S1 ('MetaSel ('Just "projectName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: (S1 ('MetaSel ('Just "status") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ModelPackagingJobStatus)) :*: S1 ('MetaSel ('Just "statusMessage") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))))))

newModelPackagingJobMetadata :: ModelPackagingJobMetadata Source #

Create a value of ModelPackagingJobMetadata with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:creationTimestamp:ModelPackagingJobMetadata', modelPackagingJobMetadata_creationTimestamp - The Unix timestamp for the time and date that the model packaging job was created.

$sel:jobName:ModelPackagingJobMetadata', modelPackagingJobMetadata_jobName - The name of the model packaging job.

$sel:lastUpdatedTimestamp:ModelPackagingJobMetadata', modelPackagingJobMetadata_lastUpdatedTimestamp - The Unix timestamp for the time and date that the model packaging job was last updated.

$sel:modelPackagingJobDescription:ModelPackagingJobMetadata', modelPackagingJobMetadata_modelPackagingJobDescription - The description for the model packaging job.

$sel:modelPackagingMethod:ModelPackagingJobMetadata', modelPackagingJobMetadata_modelPackagingMethod - The AWS service used to package the job. Currently Lookout for Vision can package jobs with AWS IoT Greengrass.

$sel:modelVersion:ModelPackagingJobMetadata', modelPackagingJobMetadata_modelVersion - The version of the model that is in the model package.

$sel:projectName:ModelPackagingJobMetadata', modelPackagingJobMetadata_projectName - The project that contains the model that is in the model package.

$sel:status:ModelPackagingJobMetadata', modelPackagingJobMetadata_status - The status of the model packaging job.

$sel:statusMessage:ModelPackagingJobMetadata', modelPackagingJobMetadata_statusMessage - The status message for the model packaging job.

modelPackagingJobMetadata_creationTimestamp :: Lens' ModelPackagingJobMetadata (Maybe UTCTime) Source #

The Unix timestamp for the time and date that the model packaging job was created.

modelPackagingJobMetadata_lastUpdatedTimestamp :: Lens' ModelPackagingJobMetadata (Maybe UTCTime) Source #

The Unix timestamp for the time and date that the model packaging job was last updated.

modelPackagingJobMetadata_modelPackagingMethod :: Lens' ModelPackagingJobMetadata (Maybe Text) Source #

The AWS service used to package the job. Currently Lookout for Vision can package jobs with AWS IoT Greengrass.

modelPackagingJobMetadata_modelVersion :: Lens' ModelPackagingJobMetadata (Maybe Text) Source #

The version of the model that is in the model package.

modelPackagingJobMetadata_projectName :: Lens' ModelPackagingJobMetadata (Maybe Text) Source #

The project that contains the model that is in the model package.

modelPackagingJobMetadata_statusMessage :: Lens' ModelPackagingJobMetadata (Maybe Text) Source #

The status message for the model packaging job.

ModelPackagingOutputDetails

data ModelPackagingOutputDetails Source #

Information about the output from a model packaging job.

See: newModelPackagingOutputDetails smart constructor.

Constructors

ModelPackagingOutputDetails' 

Fields

Instances

Instances details
FromJSON ModelPackagingOutputDetails Source # 
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Defined in Amazonka.LookoutVision.Types.ModelPackagingOutputDetails

Generic ModelPackagingOutputDetails Source # 
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Defined in Amazonka.LookoutVision.Types.ModelPackagingOutputDetails

Associated Types

type Rep ModelPackagingOutputDetails :: Type -> Type #

Read ModelPackagingOutputDetails Source # 
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Defined in Amazonka.LookoutVision.Types.ModelPackagingOutputDetails

Show ModelPackagingOutputDetails Source # 
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Defined in Amazonka.LookoutVision.Types.ModelPackagingOutputDetails

NFData ModelPackagingOutputDetails Source # 
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Eq ModelPackagingOutputDetails Source # 
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Hashable ModelPackagingOutputDetails Source # 
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Defined in Amazonka.LookoutVision.Types.ModelPackagingOutputDetails

type Rep ModelPackagingOutputDetails Source # 
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Defined in Amazonka.LookoutVision.Types.ModelPackagingOutputDetails

type Rep ModelPackagingOutputDetails = D1 ('MetaData "ModelPackagingOutputDetails" "Amazonka.LookoutVision.Types.ModelPackagingOutputDetails" "amazonka-lookoutvision-2.0-3cIJAF9xWxx8xGDY24BOkS" 'False) (C1 ('MetaCons "ModelPackagingOutputDetails'" 'PrefixI 'True) (S1 ('MetaSel ('Just "greengrass") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe GreengrassOutputDetails))))

newModelPackagingOutputDetails :: ModelPackagingOutputDetails Source #

Create a value of ModelPackagingOutputDetails with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:greengrass:ModelPackagingOutputDetails', modelPackagingOutputDetails_greengrass - Information about the AWS IoT Greengrass component in a model packaging job.

modelPackagingOutputDetails_greengrass :: Lens' ModelPackagingOutputDetails (Maybe GreengrassOutputDetails) Source #

Information about the AWS IoT Greengrass component in a model packaging job.

ModelPerformance

data ModelPerformance Source #

Information about the evaluation performance of a trained model.

See: newModelPerformance smart constructor.

Constructors

ModelPerformance' 

Fields

Instances

Instances details
FromJSON ModelPerformance Source # 
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Defined in Amazonka.LookoutVision.Types.ModelPerformance

Generic ModelPerformance Source # 
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Defined in Amazonka.LookoutVision.Types.ModelPerformance

Associated Types

type Rep ModelPerformance :: Type -> Type #

Read ModelPerformance Source # 
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Defined in Amazonka.LookoutVision.Types.ModelPerformance

Show ModelPerformance Source # 
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NFData ModelPerformance Source # 
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Methods

rnf :: ModelPerformance -> () #

Eq ModelPerformance Source # 
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Defined in Amazonka.LookoutVision.Types.ModelPerformance

Hashable ModelPerformance Source # 
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Defined in Amazonka.LookoutVision.Types.ModelPerformance

type Rep ModelPerformance Source # 
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Defined in Amazonka.LookoutVision.Types.ModelPerformance

type Rep ModelPerformance = D1 ('MetaData "ModelPerformance" "Amazonka.LookoutVision.Types.ModelPerformance" "amazonka-lookoutvision-2.0-3cIJAF9xWxx8xGDY24BOkS" 'False) (C1 ('MetaCons "ModelPerformance'" 'PrefixI 'True) (S1 ('MetaSel ('Just "f1Score") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double)) :*: (S1 ('MetaSel ('Just "precision") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double)) :*: S1 ('MetaSel ('Just "recall") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double)))))

newModelPerformance :: ModelPerformance Source #

Create a value of ModelPerformance with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:f1Score:ModelPerformance', modelPerformance_f1Score - The overall F1 score metric for the trained model.

$sel:precision:ModelPerformance', modelPerformance_precision - The overall precision metric value for the trained model.

$sel:recall:ModelPerformance', modelPerformance_recall - The overall recall metric value for the trained model.

modelPerformance_f1Score :: Lens' ModelPerformance (Maybe Double) Source #

The overall F1 score metric for the trained model.

modelPerformance_precision :: Lens' ModelPerformance (Maybe Double) Source #

The overall precision metric value for the trained model.

modelPerformance_recall :: Lens' ModelPerformance (Maybe Double) Source #

The overall recall metric value for the trained model.

OutputConfig

data OutputConfig Source #

The S3 location where Amazon Lookout for Vision saves model training files.

See: newOutputConfig smart constructor.

Constructors

OutputConfig' 

Fields

Instances

Instances details
FromJSON OutputConfig Source # 
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Defined in Amazonka.LookoutVision.Types.OutputConfig

ToJSON OutputConfig Source # 
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Defined in Amazonka.LookoutVision.Types.OutputConfig

Generic OutputConfig Source # 
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Associated Types

type Rep OutputConfig :: Type -> Type #

Read OutputConfig Source # 
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Show OutputConfig Source # 
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NFData OutputConfig Source # 
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Methods

rnf :: OutputConfig -> () #

Eq OutputConfig Source # 
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Hashable OutputConfig Source # 
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type Rep OutputConfig Source # 
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type Rep OutputConfig = D1 ('MetaData "OutputConfig" "Amazonka.LookoutVision.Types.OutputConfig" "amazonka-lookoutvision-2.0-3cIJAF9xWxx8xGDY24BOkS" 'False) (C1 ('MetaCons "OutputConfig'" 'PrefixI 'True) (S1 ('MetaSel ('Just "s3Location") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 S3Location)))

newOutputConfig Source #

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:s3Location:OutputConfig', outputConfig_s3Location - The S3 location for the output.

outputConfig_s3Location :: Lens' OutputConfig S3Location Source #

The S3 location for the output.

OutputS3Object

data OutputS3Object Source #

The S3 location where Amazon Lookout for Vision saves training output.

See: newOutputS3Object smart constructor.

Constructors

OutputS3Object' 

Fields

  • bucket :: Text

    The bucket that contains the training output.

  • key :: Text

    The location of the training output in the bucket.

Instances

Instances details
FromJSON OutputS3Object Source # 
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Defined in Amazonka.LookoutVision.Types.OutputS3Object

Generic OutputS3Object Source # 
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Defined in Amazonka.LookoutVision.Types.OutputS3Object

Associated Types

type Rep OutputS3Object :: Type -> Type #

Read OutputS3Object Source # 
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Defined in Amazonka.LookoutVision.Types.OutputS3Object

Show OutputS3Object Source # 
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Defined in Amazonka.LookoutVision.Types.OutputS3Object

NFData OutputS3Object Source # 
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Methods

rnf :: OutputS3Object -> () #

Eq OutputS3Object Source # 
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Hashable OutputS3Object Source # 
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type Rep OutputS3Object Source # 
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Defined in Amazonka.LookoutVision.Types.OutputS3Object

type Rep OutputS3Object = D1 ('MetaData "OutputS3Object" "Amazonka.LookoutVision.Types.OutputS3Object" "amazonka-lookoutvision-2.0-3cIJAF9xWxx8xGDY24BOkS" 'False) (C1 ('MetaCons "OutputS3Object'" 'PrefixI 'True) (S1 ('MetaSel ('Just "bucket") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: S1 ('MetaSel ('Just "key") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))

newOutputS3Object Source #

Create a value of OutputS3Object with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:bucket:OutputS3Object', outputS3Object_bucket - The bucket that contains the training output.

$sel:key:OutputS3Object', outputS3Object_key - The location of the training output in the bucket.

outputS3Object_bucket :: Lens' OutputS3Object Text Source #

The bucket that contains the training output.

outputS3Object_key :: Lens' OutputS3Object Text Source #

The location of the training output in the bucket.

PixelAnomaly

data PixelAnomaly Source #

Information about the pixels in an anomaly mask. For more information, see Anomaly. PixelAnomaly is only returned by image segmentation models.

See: newPixelAnomaly smart constructor.

Constructors

PixelAnomaly' 

Fields

  • color :: Maybe Text

    A hex color value for the mask that covers an anomaly type. Each anomaly type has a different mask color. The color maps to the color of the anomaly type used in the training dataset.

  • totalPercentageArea :: Maybe Double

    The percentage area of the image that the anomaly type covers.

Instances

Instances details
FromJSON PixelAnomaly Source # 
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Defined in Amazonka.LookoutVision.Types.PixelAnomaly

Generic PixelAnomaly Source # 
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Defined in Amazonka.LookoutVision.Types.PixelAnomaly

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type Rep PixelAnomaly :: Type -> Type #

Read PixelAnomaly Source # 
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Defined in Amazonka.LookoutVision.Types.PixelAnomaly

Show PixelAnomaly Source # 
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NFData PixelAnomaly Source # 
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Methods

rnf :: PixelAnomaly -> () #

Eq PixelAnomaly Source # 
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Hashable PixelAnomaly Source # 
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type Rep PixelAnomaly Source # 
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Defined in Amazonka.LookoutVision.Types.PixelAnomaly

type Rep PixelAnomaly = D1 ('MetaData "PixelAnomaly" "Amazonka.LookoutVision.Types.PixelAnomaly" "amazonka-lookoutvision-2.0-3cIJAF9xWxx8xGDY24BOkS" 'False) (C1 ('MetaCons "PixelAnomaly'" 'PrefixI 'True) (S1 ('MetaSel ('Just "color") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "totalPercentageArea") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Double))))

newPixelAnomaly :: PixelAnomaly Source #

Create a value of PixelAnomaly with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:color:PixelAnomaly', pixelAnomaly_color - A hex color value for the mask that covers an anomaly type. Each anomaly type has a different mask color. The color maps to the color of the anomaly type used in the training dataset.

$sel:totalPercentageArea:PixelAnomaly', pixelAnomaly_totalPercentageArea - The percentage area of the image that the anomaly type covers.

pixelAnomaly_color :: Lens' PixelAnomaly (Maybe Text) Source #

A hex color value for the mask that covers an anomaly type. Each anomaly type has a different mask color. The color maps to the color of the anomaly type used in the training dataset.

pixelAnomaly_totalPercentageArea :: Lens' PixelAnomaly (Maybe Double) Source #

The percentage area of the image that the anomaly type covers.

ProjectDescription

data ProjectDescription Source #

Describe an Amazon Lookout for Vision project. For more information, see DescribeProject.

See: newProjectDescription smart constructor.

Constructors

ProjectDescription' 

Fields

Instances

Instances details
FromJSON ProjectDescription Source # 
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Defined in Amazonka.LookoutVision.Types.ProjectDescription

Generic ProjectDescription Source # 
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Defined in Amazonka.LookoutVision.Types.ProjectDescription

Associated Types

type Rep ProjectDescription :: Type -> Type #

Read ProjectDescription Source # 
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Defined in Amazonka.LookoutVision.Types.ProjectDescription

Show ProjectDescription Source # 
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NFData ProjectDescription Source # 
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Methods

rnf :: ProjectDescription -> () #

Eq ProjectDescription Source # 
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Hashable ProjectDescription Source # 
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Defined in Amazonka.LookoutVision.Types.ProjectDescription

type Rep ProjectDescription Source # 
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Defined in Amazonka.LookoutVision.Types.ProjectDescription

type Rep ProjectDescription = D1 ('MetaData "ProjectDescription" "Amazonka.LookoutVision.Types.ProjectDescription" "amazonka-lookoutvision-2.0-3cIJAF9xWxx8xGDY24BOkS" 'False) (C1 ('MetaCons "ProjectDescription'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "creationTimestamp") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :*: S1 ('MetaSel ('Just "datasets") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe [DatasetMetadata]))) :*: (S1 ('MetaSel ('Just "projectArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "projectName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))))

newProjectDescription :: ProjectDescription Source #

Create a value of ProjectDescription with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

ProjectDescription, projectDescription_creationTimestamp - The unix timestamp for the date and time that the project was created.

$sel:datasets:ProjectDescription', projectDescription_datasets - A list of datasets in the project.

$sel:projectArn:ProjectDescription', projectDescription_projectArn - The Amazon Resource Name (ARN) of the project.

$sel:projectName:ProjectDescription', projectDescription_projectName - The name of the project.

projectDescription_creationTimestamp :: Lens' ProjectDescription (Maybe UTCTime) Source #

The unix timestamp for the date and time that the project was created.

projectDescription_projectArn :: Lens' ProjectDescription (Maybe Text) Source #

The Amazon Resource Name (ARN) of the project.

ProjectMetadata

data ProjectMetadata Source #

Metadata about an Amazon Lookout for Vision project.

See: newProjectMetadata smart constructor.

Constructors

ProjectMetadata' 

Fields

Instances

Instances details
FromJSON ProjectMetadata Source # 
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Defined in Amazonka.LookoutVision.Types.ProjectMetadata

Generic ProjectMetadata Source # 
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Defined in Amazonka.LookoutVision.Types.ProjectMetadata

Associated Types

type Rep ProjectMetadata :: Type -> Type #

Read ProjectMetadata Source # 
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Show ProjectMetadata Source # 
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NFData ProjectMetadata Source # 
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rnf :: ProjectMetadata -> () #

Eq ProjectMetadata Source # 
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Hashable ProjectMetadata Source # 
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Defined in Amazonka.LookoutVision.Types.ProjectMetadata

type Rep ProjectMetadata Source # 
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Defined in Amazonka.LookoutVision.Types.ProjectMetadata

type Rep ProjectMetadata = D1 ('MetaData "ProjectMetadata" "Amazonka.LookoutVision.Types.ProjectMetadata" "amazonka-lookoutvision-2.0-3cIJAF9xWxx8xGDY24BOkS" 'False) (C1 ('MetaCons "ProjectMetadata'" 'PrefixI 'True) (S1 ('MetaSel ('Just "creationTimestamp") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :*: (S1 ('MetaSel ('Just "projectArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "projectName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)))))

newProjectMetadata :: ProjectMetadata Source #

Create a value of ProjectMetadata with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:creationTimestamp:ProjectMetadata', projectMetadata_creationTimestamp - The unix timestamp for the date and time that the project was created.

$sel:projectArn:ProjectMetadata', projectMetadata_projectArn - The Amazon Resource Name (ARN) of the project.

$sel:projectName:ProjectMetadata', projectMetadata_projectName - The name of the project.

projectMetadata_creationTimestamp :: Lens' ProjectMetadata (Maybe UTCTime) Source #

The unix timestamp for the date and time that the project was created.

projectMetadata_projectArn :: Lens' ProjectMetadata (Maybe Text) Source #

The Amazon Resource Name (ARN) of the project.

S3Location

data S3Location Source #

Information about the location of training output or the output of a model packaging job.

See: newS3Location smart constructor.

Constructors

S3Location' 

Fields

  • prefix :: Maybe Text

    The path of the folder, within the S3 bucket, that contains the output.

  • bucket :: Text

    The S3 bucket that contains the training or model packaging job output. If you are training a model, the bucket must in your AWS account. If you use an S3 bucket for a model packaging job, the S3 bucket must be in the same AWS Region and AWS account in which you use AWS IoT Greengrass.

Instances

Instances details
FromJSON S3Location Source # 
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Defined in Amazonka.LookoutVision.Types.S3Location

ToJSON S3Location Source # 
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Defined in Amazonka.LookoutVision.Types.S3Location

Generic S3Location Source # 
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Defined in Amazonka.LookoutVision.Types.S3Location

Associated Types

type Rep S3Location :: Type -> Type #

Read S3Location Source # 
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Defined in Amazonka.LookoutVision.Types.S3Location

Show S3Location Source # 
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Defined in Amazonka.LookoutVision.Types.S3Location

NFData S3Location Source # 
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Defined in Amazonka.LookoutVision.Types.S3Location

Methods

rnf :: S3Location -> () #

Eq S3Location Source # 
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Hashable S3Location Source # 
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Defined in Amazonka.LookoutVision.Types.S3Location

type Rep S3Location Source # 
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Defined in Amazonka.LookoutVision.Types.S3Location

type Rep S3Location = D1 ('MetaData "S3Location" "Amazonka.LookoutVision.Types.S3Location" "amazonka-lookoutvision-2.0-3cIJAF9xWxx8xGDY24BOkS" 'False) (C1 ('MetaCons "S3Location'" 'PrefixI 'True) (S1 ('MetaSel ('Just "prefix") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Text)) :*: S1 ('MetaSel ('Just "bucket") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))

newS3Location Source #

Create a value of S3Location with all optional fields omitted.

Use generic-lens or optics to modify other optional fields.

The following record fields are available, with the corresponding lenses provided for backwards compatibility:

$sel:prefix:S3Location', s3Location_prefix - The path of the folder, within the S3 bucket, that contains the output.

$sel:bucket:S3Location', s3Location_bucket - The S3 bucket that contains the training or model packaging job output. If you are training a model, the bucket must in your AWS account. If you use an S3 bucket for a model packaging job, the S3 bucket must be in the same AWS Region and AWS account in which you use AWS IoT Greengrass.

s3Location_prefix :: Lens' S3Location (Maybe Text) Source #

The path of the folder, within the S3 bucket, that contains the output.

s3Location_bucket :: Lens' S3Location Text Source #

The S3 bucket that contains the training or model packaging job output. If you are training a model, the bucket must in your AWS account. If you use an S3 bucket for a model packaging job, the S3 bucket must be in the same AWS Region and AWS account in which you use AWS IoT Greengrass.

Tag

data Tag Source #

A key and value pair that is attached to the specified Amazon Lookout for Vision model.

See: newTag smart constructor.

Constructors

Tag' 

Fields

  • key :: Text

    The key of the tag that is attached to the specified model.

  • value :: Text

    The value of the tag that is attached to the specified model.

Instances

Instances details
FromJSON Tag Source # 
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Defined in Amazonka.LookoutVision.Types.Tag

ToJSON Tag Source # 
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Defined in Amazonka.LookoutVision.Types.Tag

Generic Tag Source # 
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Defined in Amazonka.LookoutVision.Types.Tag

Associated Types

type Rep Tag :: Type -> Type #

Methods

from :: Tag -> Rep Tag x #

to :: Rep Tag x -> Tag #

Read Tag Source # 
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Defined in Amazonka.LookoutVision.Types.Tag

Show Tag Source # 
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Defined in Amazonka.LookoutVision.Types.Tag

Methods

showsPrec :: Int -> Tag -> ShowS #

show :: Tag -> String #

showList :: [Tag] -> ShowS #

NFData Tag Source # 
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Defined in Amazonka.LookoutVision.Types.Tag

Methods

rnf :: Tag -> () #

Eq Tag Source # 
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Defined in Amazonka.LookoutVision.Types.Tag

Methods

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

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

Hashable Tag Source # 
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Defined in Amazonka.LookoutVision.Types.Tag

Methods

hashWithSalt :: Int -> Tag -> Int #

hash :: Tag -> Int #

type Rep Tag Source # 
Instance details

Defined in Amazonka.LookoutVision.Types.Tag

type Rep Tag = D1 ('MetaData "Tag" "Amazonka.LookoutVision.Types.Tag" "amazonka-lookoutvision-2.0-3cIJAF9xWxx8xGDY24BOkS" '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 #

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 key of the tag that is attached to the specified model.

$sel:value:Tag', tag_value - The value of the tag that is attached to the specified model.

tag_key :: Lens' Tag Text Source #

The key of the tag that is attached to the specified model.

tag_value :: Lens' Tag Text Source #

The value of the tag that is attached to the specified model.

TargetPlatform

data TargetPlatform Source #

The platform on which a model runs on an AWS IoT Greengrass core device.

See: newTargetPlatform smart constructor.

Constructors

TargetPlatform' 

Fields

  • accelerator :: Maybe TargetPlatformAccelerator

    The target accelerator for the model. Currently, Amazon Lookout for Vision only supports NVIDIA (Nvidia graphics processing unit) and CPU accelerators. If you specify NVIDIA as an accelerator, you must also specify the gpu-code, trt-ver, and cuda-ver compiler options. If you don't specify an accelerator, Lookout for Vision uses the CPU for compilation and we highly recommend that you use the GreengrassConfiguration$CompilerOptions field. For example, you can use the following compiler options for CPU:

    • mcpu: CPU micro-architecture. For example, {'mcpu': 'skylake-avx512'}
    • mattr: CPU flags. For example, {'mattr': ['+neon', '+vfpv4']}
  • os :: TargetPlatformOs

    The target operating system for the model. Linux is the only operating system that is currently supported.

  • arch :: TargetPlatformArch

    The target architecture for the model. The currently supported architectures are X86_64 (64-bit version of the x86 instruction set) and ARM_64 (ARMv8 64-bit CPU).

Instances

Instances details
FromJSON TargetPlatform Source # 
Instance details

Defined in Amazonka.LookoutVision.Types.TargetPlatform

ToJSON TargetPlatform Source # 
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Defined in Amazonka.LookoutVision.Types.TargetPlatform

Generic TargetPlatform Source # 
Instance details

Defined in Amazonka.LookoutVision.Types.TargetPlatform

Associated Types

type Rep TargetPlatform :: Type -> Type #

Read TargetPlatform Source # 
Instance details

Defined in Amazonka.LookoutVision.Types.TargetPlatform

Show TargetPlatform Source # 
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Defined in Amazonka.LookoutVision.Types.TargetPlatform

NFData TargetPlatform Source # 
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Defined in Amazonka.LookoutVision.Types.TargetPlatform

Methods

rnf :: TargetPlatform -> () #

Eq TargetPlatform Source # 
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Defined in Amazonka.LookoutVision.Types.TargetPlatform

Hashable TargetPlatform Source # 
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Defined in Amazonka.LookoutVision.Types.TargetPlatform

type Rep TargetPlatform Source # 
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Defined in Amazonka.LookoutVision.Types.TargetPlatform

type Rep TargetPlatform = D1 ('MetaData "TargetPlatform" "Amazonka.LookoutVision.Types.TargetPlatform" "amazonka-lookoutvision-2.0-3cIJAF9xWxx8xGDY24BOkS" '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 #

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:

$sel:accelerator:TargetPlatform', targetPlatform_accelerator - The target accelerator for the model. Currently, Amazon Lookout for Vision only supports NVIDIA (Nvidia graphics processing unit) and CPU accelerators. If you specify NVIDIA as an accelerator, you must also specify the gpu-code, trt-ver, and cuda-ver compiler options. If you don't specify an accelerator, Lookout for Vision uses the CPU for compilation and we highly recommend that you use the GreengrassConfiguration$CompilerOptions field. For example, you can use the following compiler options for CPU:

  • mcpu: CPU micro-architecture. For example, {'mcpu': 'skylake-avx512'}
  • mattr: CPU flags. For example, {'mattr': ['+neon', '+vfpv4']}

$sel:os:TargetPlatform', targetPlatform_os - The target operating system for the model. Linux is the only operating system that is currently supported.

$sel:arch:TargetPlatform', targetPlatform_arch - The target architecture for the model. The currently supported architectures are X86_64 (64-bit version of the x86 instruction set) and ARM_64 (ARMv8 64-bit CPU).

targetPlatform_accelerator :: Lens' TargetPlatform (Maybe TargetPlatformAccelerator) Source #

The target accelerator for the model. Currently, Amazon Lookout for Vision only supports NVIDIA (Nvidia graphics processing unit) and CPU accelerators. If you specify NVIDIA as an accelerator, you must also specify the gpu-code, trt-ver, and cuda-ver compiler options. If you don't specify an accelerator, Lookout for Vision uses the CPU for compilation and we highly recommend that you use the GreengrassConfiguration$CompilerOptions field. For example, you can use the following compiler options for CPU:

  • mcpu: CPU micro-architecture. For example, {'mcpu': 'skylake-avx512'}
  • mattr: CPU flags. For example, {'mattr': ['+neon', '+vfpv4']}

targetPlatform_os :: Lens' TargetPlatform TargetPlatformOs Source #

The target operating system for the model. Linux is the only operating system that is currently supported.

targetPlatform_arch :: Lens' TargetPlatform TargetPlatformArch Source #

The target architecture for the model. The currently supported architectures are X86_64 (64-bit version of the x86 instruction set) and ARM_64 (ARMv8 64-bit CPU).