Struct rusoto_sagemaker::DescribeHyperParameterTuningJobResponse

pub struct DescribeHyperParameterTuningJobResponse {

    pub best_training_job: Option<HyperParameterTrainingJobSummary>,
    pub creation_time: f64,
    pub failure_reason: Option<String>,
    pub hyper_parameter_tuning_end_time: Option<f64>,
    pub hyper_parameter_tuning_job_arn: String,
    pub hyper_parameter_tuning_job_config: HyperParameterTuningJobConfig,
    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 overall_best_training_job: Option<HyperParameterTrainingJobSummary>,
    pub training_job_definition: Option<HyperParameterTrainingJobDefinition>,
    pub training_job_definitions: Option<Vec<HyperParameterTrainingJobDefinition>>,
    pub training_job_status_counters: TrainingJobStatusCounters,
    pub warm_start_config: Option<HyperParameterTuningJobWarmStartConfig>,
}

Fields

best_training_job: Option<HyperParameterTrainingJobSummary>

A TrainingJobSummary object that describes the training job that completed with the best current HyperParameterTuningJobObjective.

creation_time: f64

The date and time that the tuning job started.

failure_reason: Option<String>

If the tuning job failed, the reason it failed.

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_config: HyperParameterTuningJobConfig

The HyperParameterTuningJobConfig object that specifies the configuration 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: InProgress, Completed, Failed, Stopping, or Stopped.

last_modified_time: Option<f64>

The date and time that the status of the tuning job was modified.

objective_status_counters: ObjectiveStatusCounters

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

overall_best_training_job: Option<HyperParameterTrainingJobSummary>

If the hyperparameter tuning job is an warm start tuning job with a WarmStartType of IDENTICAL_DATA_AND_ALGORITHM, this is the TrainingJobSummary for the training job with the best objective metric value of all training jobs launched by this tuning job and all parent jobs specified for the warm start tuning job.

training_job_definition: Option<HyperParameterTrainingJobDefinition>

The HyperParameterTrainingJobDefinition object that specifies the definition of the training jobs that this tuning job launches.

training_job_definitions: Option<Vec<HyperParameterTrainingJobDefinition>>

A list of the HyperParameterTrainingJobDefinition objects launched for this tuning job.

training_job_status_counters: TrainingJobStatusCounters

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

warm_start_config: Option<HyperParameterTuningJobWarmStartConfig>

The configuration for starting the hyperparameter parameter tuning job using one or more previous tuning jobs as a starting point. The results of previous tuning jobs are used to inform which combinations of hyperparameters to search over in the new tuning job.

Trait Implementations

impl Clone for DescribeHyperParameterTuningJobResponse

fn clone(&self) -> DescribeHyperParameterTuningJobResponse

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for DescribeHyperParameterTuningJobResponse

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

Formats the value using the given formatter.

impl Default for DescribeHyperParameterTuningJobResponse

fn default() -> DescribeHyperParameterTuningJobResponse

Returns the “default value” for a type.

impl<'de> Deserialize<'de> for DescribeHyperParameterTuningJobResponse

fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error> where
    __D: Deserializer<'de>, 

Deserialize this value from the given Serde deserializer.

impl PartialEq<DescribeHyperParameterTuningJobResponse> for DescribeHyperParameterTuningJobResponse

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

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

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

This method tests for !=.

impl StructuralPartialEq for DescribeHyperParameterTuningJobResponse