Interface ContinuousParameterRange.Builder

    • Method Detail

      • name

        ContinuousParameterRange.Builder name​(String 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

        ContinuousParameterRange.Builder maxValue​(Double 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

        ContinuousParameterRange.Builder minValue​(Double 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, ScalingType
      • scalingType

        ContinuousParameterRange.Builder scalingType​(ScalingType 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, ScalingType