Copyright	(c) 2013-2021 Brendan Hay
License	Mozilla Public License, v. 2.0.
Maintainer	Brendan Hay <brendan.g.hay+amazonka@gmail.com>
Stability	auto-generated
Portability	non-portable (GHC extensions)
Safe Haskell	None

Amazonka.SageMaker.Types.HyperParameterTuningJobSummary

Description

Synopsis

Documentation

data HyperParameterTuningJobSummary Source #

Provides summary information about a hyperparameter tuning job.

See: newHyperParameterTuningJobSummary smart constructor.

Constructors

HyperParameterTuningJobSummary'

Fields

resourceLimits :: Maybe ResourceLimits
The ResourceLimits object that specifies the maximum number of training jobs and parallel training jobs allowed for this tuning job.
lastModifiedTime :: Maybe POSIX
The date and time that the tuning job was modified.
hyperParameterTuningEndTime :: Maybe POSIX
The date and time that the tuning job ended.
hyperParameterTuningJobName :: Text
The name of the tuning job.
hyperParameterTuningJobArn :: Text
The Amazon Resource Name (ARN) of the tuning job.
hyperParameterTuningJobStatus :: HyperParameterTuningJobStatus
The status of the tuning job.
strategy :: HyperParameterTuningJobStrategyType
Specifies the search strategy hyperparameter tuning uses to choose which hyperparameters to use for each iteration. Currently, the only valid value is Bayesian.
creationTime :: POSIX
The date and time that the tuning job was created.
trainingJobStatusCounters :: TrainingJobStatusCounters
The TrainingJobStatusCounters object that specifies the numbers of training jobs, categorized by status, that this tuning job launched.
objectiveStatusCounters :: ObjectiveStatusCounters
The ObjectiveStatusCounters object that specifies the numbers of training jobs, categorized by objective metric status, that this tuning job launched.

Instances

Instances details

Eq HyperParameterTuningJobSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobSummary Methods (==) :: HyperParameterTuningJobSummary -> HyperParameterTuningJobSummary -> Bool # (/=) :: HyperParameterTuningJobSummary -> HyperParameterTuningJobSummary -> Bool #
Read HyperParameterTuningJobSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobSummary Methods readsPrec :: Int -> ReadS HyperParameterTuningJobSummary # readList :: ReadS [HyperParameterTuningJobSummary] # readPrec :: ReadPrec HyperParameterTuningJobSummary # readListPrec :: ReadPrec [HyperParameterTuningJobSummary] #
Show HyperParameterTuningJobSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobSummary Methods showsPrec :: Int -> HyperParameterTuningJobSummary -> ShowS # show :: HyperParameterTuningJobSummary -> String # showList :: [HyperParameterTuningJobSummary] -> ShowS #
Generic HyperParameterTuningJobSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobSummary Associated Types type Rep HyperParameterTuningJobSummary :: Type -> Type # Methods from :: HyperParameterTuningJobSummary -> Rep HyperParameterTuningJobSummary x # to :: Rep HyperParameterTuningJobSummary x -> HyperParameterTuningJobSummary #
NFData HyperParameterTuningJobSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobSummary Methods rnf :: HyperParameterTuningJobSummary -> () #
Hashable HyperParameterTuningJobSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobSummary Methods hashWithSalt :: Int -> HyperParameterTuningJobSummary -> Int # hash :: HyperParameterTuningJobSummary -> Int #
FromJSON HyperParameterTuningJobSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobSummary Methods parseJSON :: Value -> Parser HyperParameterTuningJobSummary # parseJSONList :: Value -> Parser [HyperParameterTuningJobSummary] #
type Rep HyperParameterTuningJobSummary Source #
Instance details Defined in Amazonka.SageMaker.Types.HyperParameterTuningJobSummary type Rep HyperParameterTuningJobSummary = D1 ('MetaData "HyperParameterTuningJobSummary" "Amazonka.SageMaker.Types.HyperParameterTuningJobSummary" "libZSservicesZSamazonka-sagemakerZSamazonka-sagemaker" 'False) (C1 ('MetaCons "HyperParameterTuningJobSummary'" 'PrefixI 'True) (((S1 ('MetaSel ('Just "resourceLimits") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ResourceLimits)) :: S1 ('MetaSel ('Just "lastModifiedTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX))) :: (S1 ('MetaSel ('Just "hyperParameterTuningEndTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe POSIX)) :: (S1 ('MetaSel ('Just "hyperParameterTuningJobName") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :: S1 ('MetaSel ('Just "hyperParameterTuningJobArn") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)))) :: ((S1 ('MetaSel ('Just "hyperParameterTuningJobStatus") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 HyperParameterTuningJobStatus) :: S1 ('MetaSel ('Just "strategy") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 HyperParameterTuningJobStrategyType)) :: (S1 ('MetaSel ('Just "creationTime") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 POSIX) :: (S1 ('MetaSel ('Just "trainingJobStatusCounters") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 TrainingJobStatusCounters) :*: S1 ('MetaSel ('Just "objectiveStatusCounters") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 ObjectiveStatusCounters))))))

newHyperParameterTuningJobSummary Source #

Arguments

:: Text	`$sel:hyperParameterTuningJobName:HyperParameterTuningJobSummary'`
-> Text	`$sel:hyperParameterTuningJobArn:HyperParameterTuningJobSummary'`
-> HyperParameterTuningJobStatus	`$sel:hyperParameterTuningJobStatus:HyperParameterTuningJobSummary'`
-> HyperParameterTuningJobStrategyType	`$sel:strategy:HyperParameterTuningJobSummary'`
-> UTCTime	`$sel:creationTime:HyperParameterTuningJobSummary'`
-> TrainingJobStatusCounters	`$sel:trainingJobStatusCounters:HyperParameterTuningJobSummary'`
-> ObjectiveStatusCounters	`$sel:objectiveStatusCounters:HyperParameterTuningJobSummary'`
-> HyperParameterTuningJobSummary

Create a value of HyperParameterTuningJobSummary with all optional fields omitted.

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

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

$sel:resourceLimits:HyperParameterTuningJobSummary', hyperParameterTuningJobSummary_resourceLimits - The ResourceLimits object that specifies the maximum number of training jobs and parallel training jobs allowed for this tuning job.

$sel:lastModifiedTime:HyperParameterTuningJobSummary', hyperParameterTuningJobSummary_lastModifiedTime - The date and time that the tuning job was modified.

$sel:hyperParameterTuningEndTime:HyperParameterTuningJobSummary', hyperParameterTuningJobSummary_hyperParameterTuningEndTime - The date and time that the tuning job ended.

$sel:hyperParameterTuningJobName:HyperParameterTuningJobSummary', hyperParameterTuningJobSummary_hyperParameterTuningJobName - The name of the tuning job.

$sel:hyperParameterTuningJobArn:HyperParameterTuningJobSummary', hyperParameterTuningJobSummary_hyperParameterTuningJobArn - The Amazon Resource Name (ARN) of the tuning job.

$sel:hyperParameterTuningJobStatus:HyperParameterTuningJobSummary', hyperParameterTuningJobSummary_hyperParameterTuningJobStatus - The status of the tuning job.

$sel:strategy:HyperParameterTuningJobSummary', hyperParameterTuningJobSummary_strategy - Specifies the search strategy hyperparameter tuning uses to choose which hyperparameters to use for each iteration. Currently, the only valid value is Bayesian.

$sel:creationTime:HyperParameterTuningJobSummary', hyperParameterTuningJobSummary_creationTime - The date and time that the tuning job was created.

$sel:trainingJobStatusCounters:HyperParameterTuningJobSummary', hyperParameterTuningJobSummary_trainingJobStatusCounters - The TrainingJobStatusCounters object that specifies the numbers of training jobs, categorized by status, that this tuning job launched.

$sel:objectiveStatusCounters:HyperParameterTuningJobSummary', hyperParameterTuningJobSummary_objectiveStatusCounters - The ObjectiveStatusCounters object that specifies the numbers of training jobs, categorized by objective metric status, that this tuning job launched.

hyperParameterTuningJobSummary_resourceLimits :: Lens' HyperParameterTuningJobSummary (Maybe ResourceLimits) Source #

The ResourceLimits object that specifies the maximum number of training jobs and parallel training jobs allowed for this tuning job.

hyperParameterTuningJobSummary_lastModifiedTime :: Lens' HyperParameterTuningJobSummary (Maybe UTCTime) Source #

The date and time that the tuning job was modified.

hyperParameterTuningJobSummary_hyperParameterTuningEndTime :: Lens' HyperParameterTuningJobSummary (Maybe UTCTime) Source #

The date and time that the tuning job ended.

hyperParameterTuningJobSummary_hyperParameterTuningJobName :: Lens' HyperParameterTuningJobSummary Text Source #

The name of the tuning job.

hyperParameterTuningJobSummary_hyperParameterTuningJobArn :: Lens' HyperParameterTuningJobSummary Text Source #

The Amazon Resource Name (ARN) of the tuning job.

hyperParameterTuningJobSummary_hyperParameterTuningJobStatus :: Lens' HyperParameterTuningJobSummary HyperParameterTuningJobStatus Source #

The status of the tuning job.

hyperParameterTuningJobSummary_strategy :: Lens' HyperParameterTuningJobSummary HyperParameterTuningJobStrategyType Source #

Specifies the search strategy hyperparameter tuning uses to choose which hyperparameters to use for each iteration. Currently, the only valid value is Bayesian.

hyperParameterTuningJobSummary_creationTime :: Lens' HyperParameterTuningJobSummary UTCTime Source #

The date and time that the tuning job was created.

hyperParameterTuningJobSummary_trainingJobStatusCounters :: Lens' HyperParameterTuningJobSummary TrainingJobStatusCounters Source #

The TrainingJobStatusCounters object that specifies the numbers of training jobs, categorized by status, that this tuning job launched.

hyperParameterTuningJobSummary_objectiveStatusCounters :: Lens' HyperParameterTuningJobSummary ObjectiveStatusCounters Source #

The ObjectiveStatusCounters object that specifies the numbers of training jobs, categorized by objective metric status, that this tuning job launched.