Struct aws_sdk_sagemaker::model::HyperParameterTuningJobStrategyConfig

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

The configuration for a training job launched by a hyperparameter tuning job. Choose Bayesian for Bayesian optimization, and Random for random search optimization. For more advanced use cases, use Hyperband, which evaluates objective metrics for training jobs after every epoch. For more information about strategies, see How Hyperparameter Tuning Works.

Implementations

impl HyperParameterTuningJobStrategyConfig

pub fn hyperband_strategy_config(&self) -> Option<&HyperbandStrategyConfig>

The configuration for the object that specifies the Hyperband strategy. This parameter is only supported for the Hyperband selection for Strategy within the HyperParameterTuningJobConfig API.

impl HyperParameterTuningJobStrategyConfig

pub fn builder() -> Builder

Creates a new builder-style object to manufacture HyperParameterTuningJobStrategyConfig.

Trait Implementations

impl Clone for HyperParameterTuningJobStrategyConfig

fn clone(&self) -> HyperParameterTuningJobStrategyConfig

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for HyperParameterTuningJobStrategyConfig

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

Formats the value using the given formatter.

impl PartialEq<HyperParameterTuningJobStrategyConfig> for HyperParameterTuningJobStrategyConfig

fn eq(&self, other: &HyperParameterTuningJobStrategyConfig) -> 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 HyperParameterTuningJobStrategyConfig