public static interface ContinuousParameterRange.Builder extends SdkPojo, CopyableBuilder<ContinuousParameterRange.Builder,ContinuousParameterRange>
| Modifier and Type | Method and Description |
|---|---|
ContinuousParameterRange.Builder |
maxValue(Double maxValue)
The maximum tunable value of the hyperparameter.
|
ContinuousParameterRange.Builder |
minValue(Double minValue)
The minimum tunable value of the hyperparameter.
|
ContinuousParameterRange.Builder |
name(String name)
The name of the hyperparameter to tune.
|
ContinuousParameterRange.Builder |
scalingType(ScalingType scalingType)
The scale that hyperparameter tuning uses to search the hyperparameter range.
|
ContinuousParameterRange.Builder |
scalingType(String scalingType)
The scale that hyperparameter tuning uses to search the hyperparameter range.
|
equalsBySdkFields, sdkFieldscopyapplyMutation, buildContinuousParameterRange.Builder name(String name)
The name of the hyperparameter to tune.
name - The name of the hyperparameter to tune.ContinuousParameterRange.Builder maxValue(Double maxValue)
The maximum tunable value of the hyperparameter.
maxValue - The maximum tunable value of the hyperparameter.ContinuousParameterRange.Builder minValue(Double minValue)
The minimum tunable value of the hyperparameter.
minValue - The minimum tunable value of the hyperparameter.ContinuousParameterRange.Builder scalingType(String scalingType)
The scale that hyperparameter tuning uses to search the hyperparameter range. Valid values:
Amazon Forecast hyperparameter tuning chooses the best scale for the hyperparameter.
Hyperparameter tuning searches the values in the hyperparameter range by using a linear scale.
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.
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:
scalingType - The scale that hyperparameter tuning uses to search the hyperparameter range. Valid values:
Amazon Forecast hyperparameter tuning chooses the best scale for the hyperparameter.
Hyperparameter tuning searches the values in the hyperparameter range by using a linear scale.
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.
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:
ScalingType,
ScalingTypeContinuousParameterRange.Builder scalingType(ScalingType scalingType)
The scale that hyperparameter tuning uses to search the hyperparameter range. Valid values:
Amazon Forecast hyperparameter tuning chooses the best scale for the hyperparameter.
Hyperparameter tuning searches the values in the hyperparameter range by using a linear scale.
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.
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:
scalingType - The scale that hyperparameter tuning uses to search the hyperparameter range. Valid values:
Amazon Forecast hyperparameter tuning chooses the best scale for the hyperparameter.
Hyperparameter tuning searches the values in the hyperparameter range by using a linear scale.
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.
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:
ScalingType,
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