#[non_exhaustive]
pub struct Builder { /* private fields */ }
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Implementations

The name of the continuous hyperparameter to tune.

The name of the continuous hyperparameter to tune.

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

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

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

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

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.

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.

Consumes the builder and constructs a ContinuousParameterRange

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