Copyright	(c) 2013-2023 Brendan Hay
License	Mozilla Public License, v. 2.0.
Maintainer	Brendan Hay
Stability	auto-generated
Portability	non-portable (GHC extensions)
Safe Haskell	Safe-Inferred
Language	Haskell2010

Amazonka.SageMaker.Types.AutoMLJobCompletionCriteria

Description

Documentation

data AutoMLJobCompletionCriteria Source #

How long a job is allowed to run, or how many candidates a job is allowed to generate.

See: newAutoMLJobCompletionCriteria smart constructor.

Constructors

AutoMLJobCompletionCriteria'

Fields

maxAutoMLJobRuntimeInSeconds :: Maybe Natural
The maximum runtime, in seconds, an AutoML job has to complete.
If an AutoML job exceeds the maximum runtime, the job is stopped automatically and its processing is ended gracefully. The AutoML job identifies the best model whose training was completed and marks it as the best-performing model. Any unfinished steps of the job, such as automatic one-click Autopilot model deployment, will not be completed.
maxCandidates :: Maybe Natural
The maximum number of times a training job is allowed to run.
maxRuntimePerTrainingJobInSeconds :: Maybe Natural
The maximum time, in seconds, that each training job executed inside hyperparameter tuning is allowed to run as part of a hyperparameter tuning job. For more information, see the used by the action.

Instances

Instances details

FromJSON AutoMLJobCompletionCriteria Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLJobCompletionCriteria Methods parseJSON :: Value -> Parser AutoMLJobCompletionCriteria # parseJSONList :: Value -> Parser [AutoMLJobCompletionCriteria] #
ToJSON AutoMLJobCompletionCriteria Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLJobCompletionCriteria Methods toJSON :: AutoMLJobCompletionCriteria -> Value # toEncoding :: AutoMLJobCompletionCriteria -> Encoding # toJSONList :: [AutoMLJobCompletionCriteria] -> Value # toEncodingList :: [AutoMLJobCompletionCriteria] -> Encoding #
Generic AutoMLJobCompletionCriteria Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLJobCompletionCriteria Associated Types type Rep AutoMLJobCompletionCriteria :: Type -> Type # Methods from :: AutoMLJobCompletionCriteria -> Rep AutoMLJobCompletionCriteria x # to :: Rep AutoMLJobCompletionCriteria x -> AutoMLJobCompletionCriteria #
Read AutoMLJobCompletionCriteria Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLJobCompletionCriteria Methods readsPrec :: Int -> ReadS AutoMLJobCompletionCriteria # readList :: ReadS [AutoMLJobCompletionCriteria] # readPrec :: ReadPrec AutoMLJobCompletionCriteria # readListPrec :: ReadPrec [AutoMLJobCompletionCriteria] #
Show AutoMLJobCompletionCriteria Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLJobCompletionCriteria Methods showsPrec :: Int -> AutoMLJobCompletionCriteria -> ShowS # show :: AutoMLJobCompletionCriteria -> String # showList :: [AutoMLJobCompletionCriteria] -> ShowS #
NFData AutoMLJobCompletionCriteria Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLJobCompletionCriteria Methods rnf :: AutoMLJobCompletionCriteria -> () #
Eq AutoMLJobCompletionCriteria Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLJobCompletionCriteria Methods (==) :: AutoMLJobCompletionCriteria -> AutoMLJobCompletionCriteria -> Bool # (/=) :: AutoMLJobCompletionCriteria -> AutoMLJobCompletionCriteria -> Bool #
Hashable AutoMLJobCompletionCriteria Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLJobCompletionCriteria Methods hashWithSalt :: Int -> AutoMLJobCompletionCriteria -> Int # hash :: AutoMLJobCompletionCriteria -> Int #
type Rep AutoMLJobCompletionCriteria Source #
Instance details Defined in Amazonka.SageMaker.Types.AutoMLJobCompletionCriteria type Rep AutoMLJobCompletionCriteria = D1 ('MetaData "AutoMLJobCompletionCriteria" "Amazonka.SageMaker.Types.AutoMLJobCompletionCriteria" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "AutoMLJobCompletionCriteria'" 'PrefixI 'True) (S1 ('MetaSel ('Just "maxAutoMLJobRuntimeInSeconds") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural)) :: (S1 ('MetaSel ('Just "maxCandidates") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural)) :: S1 ('MetaSel ('Just "maxRuntimePerTrainingJobInSeconds") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe Natural)))))

newAutoMLJobCompletionCriteria :: AutoMLJobCompletionCriteria Source #

Create a value of AutoMLJobCompletionCriteria with all optional fields omitted.

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

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

$sel:maxAutoMLJobRuntimeInSeconds:AutoMLJobCompletionCriteria', autoMLJobCompletionCriteria_maxAutoMLJobRuntimeInSeconds - The maximum runtime, in seconds, an AutoML job has to complete.

If an AutoML job exceeds the maximum runtime, the job is stopped automatically and its processing is ended gracefully. The AutoML job identifies the best model whose training was completed and marks it as the best-performing model. Any unfinished steps of the job, such as automatic one-click Autopilot model deployment, will not be completed.

$sel:maxCandidates:AutoMLJobCompletionCriteria', autoMLJobCompletionCriteria_maxCandidates - The maximum number of times a training job is allowed to run.

$sel:maxRuntimePerTrainingJobInSeconds:AutoMLJobCompletionCriteria', autoMLJobCompletionCriteria_maxRuntimePerTrainingJobInSeconds - The maximum time, in seconds, that each training job executed inside hyperparameter tuning is allowed to run as part of a hyperparameter tuning job. For more information, see the used by the action.

autoMLJobCompletionCriteria_maxAutoMLJobRuntimeInSeconds :: Lens' AutoMLJobCompletionCriteria (Maybe Natural) Source #

The maximum runtime, in seconds, an AutoML job has to complete.

If an AutoML job exceeds the maximum runtime, the job is stopped automatically and its processing is ended gracefully. The AutoML job identifies the best model whose training was completed and marks it as the best-performing model. Any unfinished steps of the job, such as automatic one-click Autopilot model deployment, will not be completed.

autoMLJobCompletionCriteria_maxCandidates :: Lens' AutoMLJobCompletionCriteria (Maybe Natural) Source #

The maximum number of times a training job is allowed to run.

autoMLJobCompletionCriteria_maxRuntimePerTrainingJobInSeconds :: Lens' AutoMLJobCompletionCriteria (Maybe Natural) Source #

The maximum time, in seconds, that each training job executed inside hyperparameter tuning is allowed to run as part of a hyperparameter tuning job. For more information, see the used by the action.