Struct rusoto_sagemaker::HyperParameterTuningJobSummary

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,
}

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.

Trait Implementations

impl PartialEq<HyperParameterTuningJobSummary> for HyperParameterTuningJobSummary

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

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

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

This method tests for !=.

impl Default for HyperParameterTuningJobSummary

fn default() -> HyperParameterTuningJobSummary

Returns the "default value" for a type.

impl Clone for HyperParameterTuningJobSummary

fn clone(&self) -> HyperParameterTuningJobSummary

Returns a copy of the value.

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

Performs copy-assignment from source.

impl Debug for HyperParameterTuningJobSummary

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

Formats the value using the given formatter.

impl<'de> Deserialize<'de> for HyperParameterTuningJobSummary

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

Deserialize this value from the given Serde deserializer.