aws_sdk_sagemaker::types::builders

Struct ContinuousParameterRangeBuilder

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#[non_exhaustive]
pub struct ContinuousParameterRangeBuilder { /* private fields */ }
Expand description

A builder for ContinuousParameterRange.

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impl ContinuousParameterRangeBuilder

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pub fn name(self, input: impl Into<String>) -> Self

The name of the continuous hyperparameter to tune.

This field is required.
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pub fn set_name(self, input: Option<String>) -> Self

The name of the continuous hyperparameter to tune.

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pub fn get_name(&self) -> &Option<String>

The name of the continuous hyperparameter to tune.

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pub fn min_value(self, input: impl Into<String>) -> Self

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

This field is required.
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pub fn set_min_value(self, input: Option<String>) -> Self

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

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pub fn get_min_value(&self) -> &Option<String>

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

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pub fn max_value(self, input: impl Into<String>) -> Self

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

This field is required.
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pub fn set_max_value(self, input: Option<String>) -> Self

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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pub fn get_max_value(&self) -> &Option<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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pub fn scaling_type(self, input: HyperParameterScalingType) -> Self

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.

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pub fn set_scaling_type(self, input: Option<HyperParameterScalingType>) -> Self

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.

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pub fn get_scaling_type(&self) -> &Option<HyperParameterScalingType>

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.

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pub fn build(self) -> ContinuousParameterRange

Consumes the builder and constructs a ContinuousParameterRange.

Trait Implementations§

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impl Clone for ContinuousParameterRangeBuilder

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fn clone(&self) -> ContinuousParameterRangeBuilder

Returns a duplicate of the value. Read more
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fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source. Read more
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impl Debug for ContinuousParameterRangeBuilder

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fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter. Read more
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impl Default for ContinuousParameterRangeBuilder

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fn default() -> ContinuousParameterRangeBuilder

Returns the “default value” for a type. Read more
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impl PartialEq for ContinuousParameterRangeBuilder

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fn eq(&self, other: &ContinuousParameterRangeBuilder) -> bool

Tests for self and other values to be equal, and is used by ==.
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fn ne(&self, other: &Rhs) -> bool

Tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.
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impl StructuralPartialEq for ContinuousParameterRangeBuilder

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