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.
-
#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.
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# File 'lib/aws-sdk-sagemaker/types.rb', line 5214 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 5214 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 5214 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 5214 class ContinuousParameterRange < Struct.new( :name, :min_value, :max_value, :scaling_type) SENSITIVE = [] include Aws::Structure end |