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

Inherits:
Struct
  • Object
show all
Includes:
Aws::Structure
Defined in:
lib/aws-sdk-sagemaker/types.rb

Overview

Note:

When making an API call, you may pass ContinuousParameterRange data as a 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.

See Also:

Instance Attribute Summary collapse

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) 


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# File 'lib/aws-sdk-sagemaker/types.rb', line 1894

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

#min_value ⇒ String

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

Returns:

  • (String) 


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# File 'lib/aws-sdk-sagemaker/types.rb', line 1894

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

#name ⇒ String

The name of the continuous hyperparameter to tune.

Returns:

  • (String) 


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# File 'lib/aws-sdk-sagemaker/types.rb', line 1894

class ContinuousParameterRange < Struct.new(
  :name,
  :min_value,
  :max_value,
  :scaling_type)
  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

: 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

: 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&lt;=x&lt;1.0.

[1]: docs.aws.amazon.com/sagemaker/latest/dg/automatic-model-tuning-define-ranges.html#scaling-type

Returns:

  • (String) 


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# File 'lib/aws-sdk-sagemaker/types.rb', line 1894

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