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pub struct HyperParameterTuningJobSummary {
    pub creation_time: f64,
    pub hyper_parameter_tuning_end_time: Option<f64>,
    pub hyper_parameter_tuning_job_arn: String,
    pub hyper_parameter_tuning_job_name: String,
    pub hyper_parameter_tuning_job_status: String,
    pub last_modified_time: Option<f64>,
    pub objective_status_counters: ObjectiveStatusCounters,
    pub resource_limits: Option<ResourceLimits>,
    pub strategy: String,
    pub training_job_status_counters: TrainingJobStatusCounters,
}
Expand description

Provides summary information about a hyperparameter tuning job.

Fields

creation_time: f64

The date and time that the tuning job was created.

hyper_parameter_tuning_end_time: Option<f64>

The date and time that the tuning job ended.

hyper_parameter_tuning_job_arn: String

The Amazon Resource Name (ARN) of the tuning job.

hyper_parameter_tuning_job_name: String

The name of the tuning job.

hyper_parameter_tuning_job_status: String

The status of the tuning job.

last_modified_time: Option<f64>

The date and time that the tuning job was modified.

objective_status_counters: ObjectiveStatusCounters

The ObjectiveStatusCounters object that specifies the numbers of training jobs, categorized by objective metric status, that this tuning job launched.

resource_limits: Option<ResourceLimits>

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

strategy: String

Specifies the search strategy hyperparameter tuning uses to choose which hyperparameters to use for each iteration. Currently, the only valid value is Bayesian.

training_job_status_counters: TrainingJobStatusCounters

The TrainingJobStatusCounters object that specifies the numbers of training jobs, categorized by status, that this tuning job launched.

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