HyperParameterTuningJobSummary
¶
Source code in docs_src/capo_sagemaker/types/hyper_parameter_tuning_job_summary.py
creation_time
instance-attribute
¶
creation_time: NotRequired[Timestamp]
The date and time that the tuning job was created.
hyper_parameter_tuning_end_time
instance-attribute
¶
hyper_parameter_tuning_end_time: NotRequired[Timestamp]
The date and time that the tuning job ended.
hyper_parameter_tuning_job_arn
instance-attribute
¶
hyper_parameter_tuning_job_arn: NotRequired[HyperParameterTuningJobArn]
The Amazon Resource Name (ARN) of the tuning job.
hyper_parameter_tuning_job_name
instance-attribute
¶
hyper_parameter_tuning_job_name: NotRequired[HyperParameterTuningJobName]
The name of the tuning job.
hyper_parameter_tuning_job_status
instance-attribute
¶
hyper_parameter_tuning_job_status: NotRequired[HyperParameterTuningJobStatus]
The status of the tuning job.
last_modified_time
instance-attribute
¶
last_modified_time: NotRequired[Timestamp]
The date and time that the tuning job was modified.
objective_status_counters
instance-attribute
¶
objective_status_counters: NotRequired[ObjectiveStatusCounters]
The ObjectiveStatusCounters object that specifies the numbers of training jobs, categorized by objective metric status, that this tuning job launched.
resource_limits
instance-attribute
¶
resource_limits: NotRequired[ResourceLimits]
The ResourceLimits object that specifies the maximum number of training jobs and parallel training jobs allowed for this tuning job.
strategy
instance-attribute
¶
strategy: NotRequired[HyperParameterTuningJobStrategyType]
Specifies the search strategy hyperparameter tuning uses to choose which hyperparameters to evaluate at each iteration.
training_job_status_counters
instance-attribute
¶
training_job_status_counters: NotRequired[TrainingJobStatusCounters]
The TrainingJobStatusCounters object that specifies the numbers of training jobs, categorized by status, that this tuning job launched.