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Class: Aws::SageMaker::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: "ParameterKey", # required
  min_value: "ParameterValue", # required
  max_value: "ParameterValue", # required
  scaling_type: "Auto", # accepts Auto, Linear, Logarithmic, ReverseLogarithmic
}

A list of continuous hyperparameters to tune.

Instance Attribute Summary collapse

Instance Attribute Details

#max_valueString

The maximum value for the hyperparameter. The tuning job uses floating-point values between MinValue value and this value for tuning.

Returns:

  • (String)

    The maximum value for the hyperparameter.

#min_valueString

The minimum value for the hyperparameter. The tuning job uses floating-point values between this value and MaxValuefor tuning.

Returns:

  • (String)

    The minimum value for the hyperparameter.

#nameString

The name of the continuous hyperparameter to tune.

Returns:

  • (String)

    The name of the continuous hyperparameter to tune.

#scaling_typeString

The scale that hyperparameter tuning uses to search the hyperparameter range. For information about choosing a hyperparameter scale, see Hyperparameter Scaling. One of the following values:

Auto

Amazon SageMaker 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

Hyperparemeter tuning searches the values in the hyperparameter range by using a logarithmic scale.

Logarithmic scaling works only for ranges that have only values greater than 0.

ReverseLogarithmic

Hyperparemeter 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.

Returns:

  • (String)

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