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

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

Overview

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

See Also:

Constant Summary collapse

SENSITIVE = 
[]

Instance Attribute Summary collapse

Instance Attribute Details

#max_value ⇒ Float

The maximum tunable value of the hyperparameter.

Returns:

  • (Float) 


420
421
422
423
424
425
426
427
 
# File 'lib/aws-sdk-forecastservice/types.rb', line 420

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

#min_value ⇒ Float

The minimum tunable value of the hyperparameter.

Returns:

  • (Float) 


420
421
422
423
424
425
426
427
 
# File 'lib/aws-sdk-forecastservice/types.rb', line 420

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

#name ⇒ String

The name of the hyperparameter to tune.

Returns:

  • (String) 


420
421
422
423
424
425
426
427
 
# File 'lib/aws-sdk-forecastservice/types.rb', line 420

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

#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 &lt;= x &lt; 1.0.

For information about choosing a hyperparameter scale, see [Hyperparameter Scaling]. One of the following values:

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

Returns:

  • (String) 


420
421
422
423
424
425
426
427
 
# File 'lib/aws-sdk-forecastservice/types.rb', line 420

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