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