Struct aws_sdk_forecast::model::continuous_parameter_range::Builder

pub struct Builder { /* private fields */ }

A builder for ContinuousParameterRange.

Implementations

impl Builder

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

The name of the hyperparameter to tune.

pub fn set_name(self, input: Option<String>) -> Self

The name of the hyperparameter to tune.

pub fn max_value(self, input: f64) -> Self

The maximum tunable value of the hyperparameter.

pub fn set_max_value(self, input: Option<f64>) -> Self

The maximum tunable value of the hyperparameter.

pub fn min_value(self, input: f64) -> Self

The minimum tunable value of the hyperparameter.

pub fn set_min_value(self, input: Option<f64>) -> Self

The minimum tunable value of the hyperparameter.

pub fn scaling_type(self, input: ScalingType) -> Self

The scale that hyperparameter tuning uses to search the hyperparameter range. Valid values:

Auto

Amazon Forecast 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 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.

For information about choosing a hyperparameter scale, see Hyperparameter Scaling. One of the following values:

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

The scale that hyperparameter tuning uses to search the hyperparameter range. Valid values:

Auto

Amazon Forecast 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 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.

For information about choosing a hyperparameter scale, see Hyperparameter Scaling. One of the following values:

pub fn build(self) -> ContinuousParameterRange

Consumes the builder and constructs a ContinuousParameterRange.

Trait Implementations

impl Clone for Builder

fn clone(&self) -> Builder

Returns a copy of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for Builder

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

Formats the value using the given formatter.

impl Default for Builder

fn default() -> Builder

Returns the “default value” for a type.

impl PartialEq<Builder> for Builder

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

This method tests for self and other values to be equal, and is used by ==.

fn ne(&self, other: &Rhs) -> bool

This method tests for !=. The default implementation is almost always sufficient, and should not be overridden without very good reason.

impl StructuralPartialEq for Builder