libZSservicesZSamazonka-forecastZSamazonka-forecast
Copyright(c) 2013-2021 Brendan Hay
LicenseMozilla Public License, v. 2.0.
MaintainerBrendan Hay <brendan.g.hay+amazonka@gmail.com>
Stabilityauto-generated
Portabilitynon-portable (GHC extensions)
Safe HaskellNone

Amazonka.Forecast.Types.ContinuousParameterRange

Description

 
Synopsis

Documentation

data ContinuousParameterRange Source #

Specifies a continuous hyperparameter and it's range of tunable values. This object is part of the ParameterRanges object.

See: newContinuousParameterRange smart constructor.

Constructors

ContinuousParameterRange' 

Fields

  • scalingType :: Maybe ScalingType

    The scale that hyperparameter tuning uses to search the hyperparameter range. Valid values:

    Auto
    Amazon Forecast 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 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.

    For information about choosing a hyperparameter scale, see Hyperparameter Scaling. One of the following values:

  • name :: Text

    The name of the hyperparameter to tune.

  • maxValue :: Double

    The maximum tunable value of the hyperparameter.

  • minValue :: Double

    The minimum tunable value of the hyperparameter.

Instances

Instances details
Eq ContinuousParameterRange Source # 
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Defined in Amazonka.Forecast.Types.ContinuousParameterRange

Read ContinuousParameterRange Source # 
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Show ContinuousParameterRange Source # 
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Generic ContinuousParameterRange Source # 
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Associated Types

type Rep ContinuousParameterRange :: Type -> Type #

NFData ContinuousParameterRange Source # 
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Defined in Amazonka.Forecast.Types.ContinuousParameterRange

Hashable ContinuousParameterRange Source # 
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ToJSON ContinuousParameterRange Source # 
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FromJSON ContinuousParameterRange Source # 
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type Rep ContinuousParameterRange Source # 
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Defined in Amazonka.Forecast.Types.ContinuousParameterRange

type Rep ContinuousParameterRange = D1 ('MetaData "ContinuousParameterRange" "Amazonka.Forecast.Types.ContinuousParameterRange" "libZSservicesZSamazonka-forecastZSamazonka-forecast" 'False) (C1 ('MetaCons "ContinuousParameterRange'" 'PrefixI 'True) ((S1 ('MetaSel ('Just "scalingType") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 (Maybe ScalingType)) :*: S1 ('MetaSel ('Just "name") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Text)) :*: (S1 ('MetaSel ('Just "maxValue") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Double) :*: S1 ('MetaSel ('Just "minValue") 'NoSourceUnpackedness 'NoSourceStrictness 'DecidedStrict) (Rec0 Double))))

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. Valid values:

Auto
Amazon Forecast 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 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.

For information about choosing a hyperparameter scale, see Hyperparameter Scaling. One of the following values:

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

$sel:maxValue:ContinuousParameterRange', continuousParameterRange_maxValue - The maximum tunable value of the hyperparameter.

$sel:minValue:ContinuousParameterRange', continuousParameterRange_minValue - The minimum tunable value of the hyperparameter.

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

The scale that hyperparameter tuning uses to search the hyperparameter range. Valid values:

Auto
Amazon Forecast 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 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.

For information about choosing a hyperparameter scale, see Hyperparameter Scaling. One of the following values:

continuousParameterRange_name :: Lens' ContinuousParameterRange Text Source #

The name of the hyperparameter to tune.

continuousParameterRange_maxValue :: Lens' ContinuousParameterRange Double Source #

The maximum tunable value of the hyperparameter.

continuousParameterRange_minValue :: Lens' ContinuousParameterRange Double Source #

The minimum tunable value of the hyperparameter.