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

Amazonka.SageMaker.Types.ContinuousParameterRange

Description

 
Synopsis

Documentation

data ContinuousParameterRange Source #

A list of continuous hyperparameters to tune.

See: newContinuousParameterRange smart constructor.

Constructors

ContinuousParameterRange' 

Fields

  • scalingType :: Maybe HyperParameterScalingType

    The scale that hyperparameter tuning uses to search the hyperparameter range. For information about choosing a hyperparameter scale, see Hyperparameter Scaling. One of the following values:

    Auto
    SageMaker hyperparameter tuning chooses the best scale for the hyperparameter.
    Linear
    Hyperparameter tuning searches the values in the hyperparameter range by using a linear scale.
    Logarithmic
    Hyperparameter tuning searches the values in the hyperparameter range by using a logarithmic scale.

    Logarithmic scaling works only for ranges that have only values greater than 0.

    ReverseLogarithmic
    Hyperparameter tuning searches the values in the hyperparameter range by using a reverse logarithmic scale.

    Reverse logarithmic scaling works only for ranges that are entirely within the range 0<=x<1.0.

  • name :: Text

    The name of the continuous hyperparameter to tune.

  • minValue :: Text

    The minimum value for the hyperparameter. The tuning job uses floating-point values between this value and MaxValuefor tuning.

  • maxValue :: Text

    The maximum value for the hyperparameter. The tuning job uses floating-point values between MinValue value and this value for tuning.

Instances

Instances details
FromJSON ContinuousParameterRange Source # 
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ToJSON ContinuousParameterRange Source # 
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Generic ContinuousParameterRange Source # 
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Associated Types

type Rep ContinuousParameterRange :: Type -> Type #

Read ContinuousParameterRange Source # 
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Show ContinuousParameterRange Source # 
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NFData ContinuousParameterRange Source # 
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Eq ContinuousParameterRange Source # 
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Hashable ContinuousParameterRange Source # 
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type Rep ContinuousParameterRange Source # 
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Defined in Amazonka.SageMaker.Types.ContinuousParameterRange

type Rep ContinuousParameterRange = D1 ('MetaData "ContinuousParameterRange" "Amazonka.SageMaker.Types.ContinuousParameterRange" "amazonka-sagemaker-2.0-9SyrKZ4KqhsL1qX9u3ILA3" 'False) (C1 ('MetaCons "ContinuousParameterRange'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "scalingType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe HyperParameterScalingType)) :*: S1 ('MetaSel ('Just "name") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)) :*: (S1 ('MetaSel ('Just "minValue") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text) :*: S1 ('MetaSel ('Just "maxValue") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text))))

newContinuousParameterRange Source #

Create a value of ContinuousParameterRange with all optional fields omitted.

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

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

$sel:scalingType:ContinuousParameterRange', continuousParameterRange_scalingType - The scale that hyperparameter tuning uses to search the hyperparameter range. For information about choosing a hyperparameter scale, see Hyperparameter Scaling. One of the following values:

Auto
SageMaker hyperparameter tuning chooses the best scale for the hyperparameter.
Linear
Hyperparameter tuning searches the values in the hyperparameter range by using a linear scale.
Logarithmic
Hyperparameter tuning searches the values in the hyperparameter range by using a logarithmic scale.

Logarithmic scaling works only for ranges that have only values greater than 0.

ReverseLogarithmic
Hyperparameter tuning searches the values in the hyperparameter range by using a reverse logarithmic scale.

Reverse logarithmic scaling works only for ranges that are entirely within the range 0<=x<1.0.

$sel:name:ContinuousParameterRange', continuousParameterRange_name - The name of the continuous hyperparameter to tune.

$sel:minValue:ContinuousParameterRange', continuousParameterRange_minValue - The minimum value for the hyperparameter. The tuning job uses floating-point values between this value and MaxValuefor tuning.

$sel:maxValue:ContinuousParameterRange', continuousParameterRange_maxValue - The maximum value for the hyperparameter. The tuning job uses floating-point values between MinValue value and this value for tuning.

continuousParameterRange_scalingType :: Lens' ContinuousParameterRange (Maybe HyperParameterScalingType) Source #

The scale that hyperparameter tuning uses to search the hyperparameter range. For information about choosing a hyperparameter scale, see Hyperparameter Scaling. One of the following values:

Auto
SageMaker hyperparameter tuning chooses the best scale for the hyperparameter.
Linear
Hyperparameter tuning searches the values in the hyperparameter range by using a linear scale.
Logarithmic
Hyperparameter tuning searches the values in the hyperparameter range by using a logarithmic scale.

Logarithmic scaling works only for ranges that have only values greater than 0.

ReverseLogarithmic
Hyperparameter tuning searches the values in the hyperparameter range by using a reverse logarithmic scale.

Reverse logarithmic scaling works only for ranges that are entirely within the range 0<=x<1.0.

continuousParameterRange_name :: Lens' ContinuousParameterRange Text Source #

The name of the continuous hyperparameter to tune.

continuousParameterRange_minValue :: Lens' ContinuousParameterRange Text Source #

The minimum value for the hyperparameter. The tuning job uses floating-point values between this value and MaxValuefor tuning.

continuousParameterRange_maxValue :: Lens' ContinuousParameterRange Text Source #

The maximum value for the hyperparameter. The tuning job uses floating-point values between MinValue value and this value for tuning.