[][src]Struct rusoto_sagemaker::ContinuousParameterRange

pub struct ContinuousParameterRange {
    pub max_value: String,
    pub min_value: String,
    pub name: String,
    pub scaling_type: Option<String>,
}

A list of continuous hyperparameters to tune.

Fields

max_value: String

The maximum value for the hyperparameter. The tuning job uses floating-point values between MinValue value and this value for tuning.

min_value: String

The minimum value for the hyperparameter. The tuning job uses floating-point values between this value and MaxValuefor tuning.

name: String

The name of the continuous hyperparameter to tune.

scaling_type: Option<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

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.

Trait Implementations

impl Clone for ContinuousParameterRange[src]

impl Debug for ContinuousParameterRange[src]

impl Default for ContinuousParameterRange[src]

impl<'de> Deserialize<'de> for ContinuousParameterRange[src]

impl PartialEq<ContinuousParameterRange> for ContinuousParameterRange[src]

impl Serialize for ContinuousParameterRange[src]

impl StructuralPartialEq for ContinuousParameterRange[src]

Auto Trait Implementations

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type Owned = T

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