Struct aws_sdk_sagemaker::model::hyper_parameter_tuning_job_summary::Builder [−][src]
#[non_exhaustive]pub struct Builder { /* fields omitted */ }
Expand description
A builder for HyperParameterTuningJobSummary
Implementations
The name of the tuning job.
The name of the tuning job.
The Amazon Resource Name (ARN) of the tuning job.
The Amazon Resource Name (ARN) of the tuning job.
The status of the tuning job.
pub fn set_hyper_parameter_tuning_job_status(
self,
input: Option<HyperParameterTuningJobStatus>
) -> Self
pub fn set_hyper_parameter_tuning_job_status(
self,
input: Option<HyperParameterTuningJobStatus>
) -> Self
The status of the tuning job.
Specifies the search strategy hyperparameter tuning uses to choose which hyperparameters to use for each iteration. Currently, the only valid value is Bayesian.
Specifies the search strategy hyperparameter tuning uses to choose which hyperparameters to use for each iteration. Currently, the only valid value is Bayesian.
The date and time that the tuning job was created.
The date and time that the tuning job was created.
The date and time that the tuning job ended.
The date and time that the tuning job ended.
The date and time that the tuning job was modified.
The date and time that the tuning job was modified.
The TrainingJobStatusCounters object that specifies the numbers of training jobs, categorized by status, that this tuning job launched.
pub fn set_training_job_status_counters(
self,
input: Option<TrainingJobStatusCounters>
) -> Self
pub fn set_training_job_status_counters(
self,
input: Option<TrainingJobStatusCounters>
) -> Self
The TrainingJobStatusCounters object that specifies the numbers of training jobs, categorized by status, that this tuning job launched.
The ObjectiveStatusCounters object that specifies the numbers of training jobs, categorized by objective metric status, that this tuning job launched.
The ObjectiveStatusCounters object that specifies the numbers of training jobs, categorized by objective metric status, that this tuning job launched.
The ResourceLimits object that specifies the maximum number of training jobs and parallel training jobs allowed for this tuning job.
The ResourceLimits object that specifies the maximum number of training jobs and parallel training jobs allowed for this tuning job.
Consumes the builder and constructs a HyperParameterTuningJobSummary
Trait Implementations
Auto Trait Implementations
impl RefUnwindSafe for Builder
impl UnwindSafe for Builder
Blanket Implementations
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to this type, returning a
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Attaches the current default Subscriber
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