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HyperParameterTuningJobSummary

Source code in docs_src/capo_sagemaker/types/hyper_parameter_tuning_job_summary.py
class HyperParameterTuningJobSummary(TypedDict, closed=True):
    hyper_parameter_tuning_job_name: NotRequired[
        "capo_sagemaker.types.hyper_parameter_tuning_job_name.HyperParameterTuningJobName"
    ]
    """<p>The name of the tuning job.</p>"""
    hyper_parameter_tuning_job_arn: NotRequired[
        "capo_sagemaker.types.hyper_parameter_tuning_job_arn.HyperParameterTuningJobArn"
    ]
    """<p>The Amazon Resource Name (ARN) of the tuning job.</p>"""
    hyper_parameter_tuning_job_status: NotRequired[
        "capo_sagemaker.types.hyper_parameter_tuning_job_status.HyperParameterTuningJobStatus"
    ]
    """<p>The status of the tuning job.</p>"""
    strategy: NotRequired[
        "capo_sagemaker.types.hyper_parameter_tuning_job_strategy_type.HyperParameterTuningJobStrategyType"
    ]
    """<p>Specifies the search strategy hyperparameter tuning uses to choose which hyperparameters to evaluate at each iteration.</p>"""
    creation_time: NotRequired["capo_sagemaker.types.timestamp.Timestamp"]
    """<p>The date and time that the tuning job was created.</p>"""
    hyper_parameter_tuning_end_time: NotRequired[
        "capo_sagemaker.types.timestamp.Timestamp"
    ]
    """<p>The date and time that the tuning job ended.</p>"""
    last_modified_time: NotRequired["capo_sagemaker.types.timestamp.Timestamp"]
    """<p>The date and time that the tuning job was modified.</p>"""
    training_job_status_counters: NotRequired[
        "capo_sagemaker.types.training_job_status_counters.TrainingJobStatusCounters"
    ]
    """<p>The <a href="https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_TrainingJobStatusCounters.html">TrainingJobStatusCounters</a> object that specifies the numbers of training jobs, categorized by status, that this tuning job launched.</p>"""
    objective_status_counters: NotRequired[
        "capo_sagemaker.types.objective_status_counters.ObjectiveStatusCounters"
    ]
    """<p>The <a href="https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ObjectiveStatusCounters.html">ObjectiveStatusCounters</a> object that specifies the numbers of training jobs, categorized by objective metric status, that this tuning job launched.</p>"""
    resource_limits: NotRequired["capo_sagemaker.types.resource_limits.ResourceLimits"]
    """<p>The <a href="https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_ResourceLimits.html">ResourceLimits</a> object that specifies the maximum number of training jobs and parallel training jobs allowed for this tuning job.</p>"""

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.