Class: Aws::SageMaker::Types::ContinuousParameterRange
- Inherits:
 - 
      Struct
      
        
- Object
 - Struct
 - Aws::SageMaker::Types::ContinuousParameterRange
 
 
- Includes:
 - Aws::Structure
 
- Defined in:
 - lib/aws-sdk-sagemaker/types.rb
 
Overview
A list of continuous hyperparameters to tune.
Constant Summary collapse
- SENSITIVE =
 []
Instance Attribute Summary collapse
- 
  
    
      #max_value  ⇒ String 
    
    
  
  
  
  
    
    
  
  
  
  
  
  
    
The maximum value for the hyperparameter.
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      #min_value  ⇒ String 
    
    
  
  
  
  
    
    
  
  
  
  
  
  
    
The minimum value for the hyperparameter.
 - 
  
    
      #name  ⇒ String 
    
    
  
  
  
  
    
    
  
  
  
  
  
  
    
The name of the continuous hyperparameter to tune.
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      #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.
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      # File 'lib/aws-sdk-sagemaker/types.rb', line 5539 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 ‘MaxValue`for tuning.
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      # File 'lib/aws-sdk-sagemaker/types.rb', line 5539 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.
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      # File 'lib/aws-sdk-sagemaker/types.rb', line 5539 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.
[1]: docs.aws.amazon.com/sagemaker/latest/dg/automatic-model-tuning-define-ranges.html#scaling-type
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      # File 'lib/aws-sdk-sagemaker/types.rb', line 5539 class ContinuousParameterRange < Struct.new( :name, :min_value, :max_value, :scaling_type) SENSITIVE = [] include Aws::Structure end  |