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Class: Aws::ForecastService::Types::ContinuousParameterRange

Inherits:
Struct
  • Object
show all
Defined in:
(unknown)

Overview

Note:

When passing ContinuousParameterRange as input to an Aws::Client method, you can use a vanilla Hash:

{
  name: "Name", # required
  max_value: 1.0, # required
  min_value: 1.0, # required
  scaling_type: "Auto", # accepts Auto, Linear, Logarithmic, ReverseLogarithmic
}

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

See Also:

Instance Attribute Summary collapse

Instance Attribute Details

#max_value ⇒ Float

The maximum tunable value of the hyperparameter.

Returns:

  • (Float) —

    The maximum tunable value of the hyperparameter.

#min_value ⇒ Float

The minimum tunable value of the hyperparameter.

Returns:

  • (Float) —

    The minimum tunable value of the hyperparameter.

#name ⇒ String

The name of the hyperparameter to tune.

Returns:

  • (String) —

    The name of the hyperparameter to tune.

#scaling_type ⇒ String

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:

  • (String) —

    The scale that hyperparameter tuning uses to search the hyperparameter range.