class Aws::SageMaker::Types::ContinuousParameterRange
A list of continuous hyperparameters to tune.
@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 }
@!attribute [rw] name
The name of the continuous hyperparameter to tune. @return [String]
@!attribute [rw] min_value
The minimum value for the hyperparameter. The tuning job uses floating-point values between this value and `MaxValue`for tuning. @return [String]
@!attribute [rw] max_value
The maximum value for the hyperparameter. The tuning job uses floating-point values between `MinValue` value and this value for tuning. @return [String]
@!attribute [rw] scaling_type
The scale that hyperparameter tuning uses to search the hyperparameter range. For information about choosing a hyperparameter scale, see [Hyperparameter Scaling][1]. 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<=x<1.0. [1]: https://docs.aws.amazon.com/sagemaker/latest/dg/automatic-model-tuning-define-ranges.html#scaling-type @return [String]
@see docs.aws.amazon.com/goto/WebAPI/sagemaker-2017-07-24/ContinuousParameterRange AWS API Documentation
Constants
- SENSITIVE