Class: Aws::SageMaker::Types::ContinuousParameterRange

Inherits:

Struct

• Object
• Struct
• Aws::SageMaker::Types::ContinuousParameterRange

Defined in:

gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb

Overview

A list of continuous hyperparameters to tune.

See Also:

• AWS API Documentation

Constant Summary

SENSITIVE =

[]

Instance Attribute Summary

• #max_value ⇒ String

  The maximum value for the hyperparameter.

• #min_value ⇒ String

  The minimum value for the hyperparameter.

• #name ⇒ String

  The name of the continuous hyperparameter to tune.

• #scaling_type ⇒ String

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

Instance Attribute Details

#max_value ⇒ String

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

Returns:

• (String)

# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 5512

class ContinuousParameterRange < Struct.new(
  :name,
  :min_value,
  :max_value,
  :scaling_type)
  SENSITIVE = []
  include Aws::Structure
end

#min_value ⇒ String

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

Returns:

• (String)

# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 5512

class ContinuousParameterRange < Struct.new(
  :name,
  :min_value,
  :max_value,
  :scaling_type)
  SENSITIVE = []
  include Aws::Structure
end

#name ⇒ String

The name of the continuous hyperparameter to tune.

Returns:

• (String)

# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 5512

class ContinuousParameterRange < Struct.new(
  :name,
  :min_value,
  :max_value,
  :scaling_type)
  SENSITIVE = []
  include Aws::Structure
end

#scaling_type ⇒ String

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

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

Hyperparameter 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

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.

Returns:

• (String)

# File 'gems/aws-sdk-sagemaker/lib/aws-sdk-sagemaker/types.rb', line 5512

class ContinuousParameterRange < Struct.new(
  :name,
  :min_value,
  :max_value,
  :scaling_type)
  SENSITIVE = []
  include Aws::Structure
end