Interface ContinuousParameterRange.Builder
- All Superinterfaces:
- Buildable,- CopyableBuilder<ContinuousParameterRange.Builder,,- ContinuousParameterRange> - SdkBuilder<ContinuousParameterRange.Builder,,- ContinuousParameterRange> - SdkPojo
- Enclosing class:
- ContinuousParameterRange
- 
Method SummaryModifier and TypeMethodDescriptionThe maximum tunable value of the hyperparameter.The minimum tunable value of the hyperparameter.The name of the hyperparameter to tune.scalingType(String scalingType) The scale that hyperparameter tuning uses to search the hyperparameter range.scalingType(ScalingType scalingType) The scale that hyperparameter tuning uses to search the hyperparameter range.Methods inherited from interface software.amazon.awssdk.utils.builder.CopyableBuildercopyMethods inherited from interface software.amazon.awssdk.utils.builder.SdkBuilderapplyMutation, buildMethods inherited from interface software.amazon.awssdk.core.SdkPojoequalsBySdkFields, sdkFieldNameToField, sdkFields
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Method Details- 
nameThe name of the hyperparameter to tune. - Parameters:
- name- The name of the hyperparameter to tune.
- Returns:
- Returns a reference to this object so that method calls can be chained together.
 
- 
maxValueThe maximum tunable value of the hyperparameter. - Parameters:
- maxValue- The maximum tunable value of the hyperparameter.
- Returns:
- Returns a reference to this object so that method calls can be chained together.
 
- 
minValueThe minimum tunable value of the hyperparameter. - Parameters:
- minValue- The minimum tunable value of the hyperparameter.
- Returns:
- Returns a reference to this object so that method calls can be chained together.
 
- 
scalingTypeThe 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: - Parameters:
- 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: 
- Returns:
- Returns a reference to this object so that method calls can be chained together.
- See Also:
 
- 
scalingTypeThe 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: - Parameters:
- 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: 
- Returns:
- Returns a reference to this object so that method calls can be chained together.
- See Also:
 
 
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