Interface ContinuousParameterRange.Builder

All Superinterfaces:
Buildable, CopyableBuilder<ContinuousParameterRange.Builder,ContinuousParameterRange>, SdkBuilder<ContinuousParameterRange.Builder,ContinuousParameterRange>, SdkPojo
Enclosing class:
ContinuousParameterRange

public static interface ContinuousParameterRange.Builder extends SdkPojo, CopyableBuilder<ContinuousParameterRange.Builder,ContinuousParameterRange>
  • Method Details

    • name

      The 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.
    • maxValue

      The 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.
    • minValue

      The 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.
    • scalingType

      ContinuousParameterRange.Builder scalingType(String 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:

      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:
    • 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:

      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: