[][src]Struct rusoto_sagemaker::HyperParameterTuningJobConfig

pub struct HyperParameterTuningJobConfig {
    pub hyper_parameter_tuning_job_objective: HyperParameterTuningJobObjective,
    pub parameter_ranges: ParameterRanges,
    pub resource_limits: ResourceLimits,
    pub strategy: String,
    pub training_job_early_stopping_type: Option<String>,
}

Configures a hyperparameter tuning job.

Fields

hyper_parameter_tuning_job_objective: HyperParameterTuningJobObjective

The HyperParameterTuningJobObjective object that specifies the objective metric for this tuning job.

parameter_ranges: ParameterRanges

The ParameterRanges object that specifies the ranges of hyperparameters that this tuning job searches.

resource_limits: ResourceLimits

The ResourceLimits object that specifies the maximum number of training jobs and parallel training jobs for this tuning job.

strategy: String

Specifies the search strategy for hyperparameters. Currently, the only valid value is Bayesian.

training_job_early_stopping_type: Option<String>

Specifies whether to use early stopping for training jobs launched by the hyperparameter tuning job. This can be one of the following values (the default value is OFF):

OFF

Training jobs launched by the hyperparameter tuning job do not use early stopping.

AUTO

Amazon SageMaker stops training jobs launched by the hyperparameter tuning job when they are unlikely to perform better than previously completed training jobs. For more information, see Stop Training Jobs Early.

Trait Implementations

impl Default for HyperParameterTuningJobConfig[src]

impl PartialEq<HyperParameterTuningJobConfig> for HyperParameterTuningJobConfig[src]

impl Clone for HyperParameterTuningJobConfig[src]

fn clone_from(&mut self, source: &Self)
1.0.0
[src]

Performs copy-assignment from source. Read more

impl Debug for HyperParameterTuningJobConfig[src]

impl Serialize for HyperParameterTuningJobConfig[src]

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

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