TrainingJobSummary ¶

class TrainingJobSummary(TypedDict, closed=True):
    training_job_name: NotRequired[
        "capo_sagemaker.types.training_job_name.TrainingJobName"
    ]
    """<p>The name of the training job that you want a summary for.</p>"""
    training_job_arn: NotRequired[
        "capo_sagemaker.types.training_job_arn.TrainingJobArn"
    ]
    """<p>The Amazon Resource Name (ARN) of the training job.</p>"""
    creation_time: NotRequired["capo_sagemaker.types.timestamp.Timestamp"]
    """<p>A timestamp that shows when the training job was created.</p>"""
    training_end_time: NotRequired["capo_sagemaker.types.timestamp.Timestamp"]
    """<p>A timestamp that shows when the training job ended. This field is set only if the training job has one of the terminal statuses (<code>Completed</code>, <code>Failed</code>, or <code>Stopped</code>). </p>"""
    last_modified_time: NotRequired["capo_sagemaker.types.timestamp.Timestamp"]
    """<p> Timestamp when the training job was last modified. </p>"""
    training_job_status: NotRequired[
        "capo_sagemaker.types.training_job_status.TrainingJobStatus"
    ]
    """<p>The status of the training job.</p>"""
    secondary_status: NotRequired[
        "capo_sagemaker.types.secondary_status.SecondaryStatus"
    ]
    """<p>The secondary status of the training job.</p>"""
    warm_pool_status: NotRequired[
        "capo_sagemaker.types.warm_pool_status.WarmPoolStatus"
    ]
    """<p>The status of the warm pool associated with the training job.</p>"""
    training_plan_arn: NotRequired[
        "capo_sagemaker.types.training_plan_arn.TrainingPlanArn"
    ]
    """<p>The Amazon Resource Name (ARN); of the training plan associated with this training job.</p> <p>For more information about how to reserve GPU capacity for your SageMaker HyperPod clusters using Amazon SageMaker Training Plan, see <code> <a href="https://docs.aws.amazon.com/sagemaker/latest/APIReference/API_CreateTrainingPlan.html">CreateTrainingPlan</a> </code>.</p>"""