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 training_job_definition: HyperParameterTrainingJobDefinition,
    pub training_job_status_counters: TrainingJobStatusCounters,
}

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.

training_job_definition: HyperParameterTrainingJobDefinition

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

training_job_status_counters: TrainingJobStatusCounters

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

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 Default for DescribeHyperParameterTuningJobResponse

fn default() -> DescribeHyperParameterTuningJobResponse

Returns the "default value" for a type.

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 Debug for DescribeHyperParameterTuningJobResponse

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

Formats the value using the given formatter.

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.