[−][src]Struct rusoto_sagemaker::DescribeHyperParameterTuningJobResponse
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
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pub fn clone(&self) -> DescribeHyperParameterTuningJobResponse
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pub fn clone_from(&mut self, source: &Self)
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impl Debug for DescribeHyperParameterTuningJobResponse
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impl Default for DescribeHyperParameterTuningJobResponse
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pub fn default() -> DescribeHyperParameterTuningJobResponse
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impl<'de> Deserialize<'de> for DescribeHyperParameterTuningJobResponse
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pub fn deserialize<__D>(__deserializer: __D) -> Result<Self, __D::Error> where
__D: Deserializer<'de>,
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__D: Deserializer<'de>,
impl PartialEq<DescribeHyperParameterTuningJobResponse> for DescribeHyperParameterTuningJobResponse
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pub fn eq(&self, other: &DescribeHyperParameterTuningJobResponse) -> bool
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pub fn ne(&self, other: &DescribeHyperParameterTuningJobResponse) -> bool
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impl StructuralPartialEq for DescribeHyperParameterTuningJobResponse
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Auto Trait Implementations
impl RefUnwindSafe for DescribeHyperParameterTuningJobResponse
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impl Send for DescribeHyperParameterTuningJobResponse
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impl Sync for DescribeHyperParameterTuningJobResponse
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impl Unpin for DescribeHyperParameterTuningJobResponse
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impl UnwindSafe for DescribeHyperParameterTuningJobResponse
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Blanket Implementations
impl<T> Any for T where
T: 'static + ?Sized,
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T: 'static + ?Sized,
impl<T> Borrow<T> for T where
T: ?Sized,
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T: ?Sized,
impl<T> BorrowMut<T> for T where
T: ?Sized,
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T: ?Sized,
pub fn borrow_mut(&mut self) -> &mut T
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impl<T> DeserializeOwned for T where
T: for<'de> Deserialize<'de>,
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T: for<'de> Deserialize<'de>,
impl<T> From<T> for T
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impl<T> Instrument for T
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pub fn instrument(self, span: Span) -> Instrumented<Self>
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pub fn in_current_span(self) -> Instrumented<Self>
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impl<T> Instrument for T
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pub fn instrument(self, span: Span) -> Instrumented<Self>
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pub fn in_current_span(self) -> Instrumented<Self>
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impl<T, U> Into<U> for T where
U: From<T>,
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U: From<T>,
impl<T> Same<T> for T
type Output = T
Should always be Self
impl<T> ToOwned for T where
T: Clone,
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T: Clone,
type Owned = T
The resulting type after obtaining ownership.
pub fn to_owned(&self) -> T
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pub fn clone_into(&self, target: &mut T)
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impl<T, U> TryFrom<U> for T where
U: Into<T>,
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U: Into<T>,
type Error = Infallible
The type returned in the event of a conversion error.
pub fn try_from(value: U) -> Result<T, <T as TryFrom<U>>::Error>
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impl<T, U> TryInto<U> for T where
U: TryFrom<T>,
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U: TryFrom<T>,