UpdateTrainingJobRequest ¶

class UpdateTrainingJobRequest(TypedDict, closed=True):
    training_job_name: NotRequired[
        "capo_sagemaker.types.training_job_name.TrainingJobName"
    ]
    """<p>The name of a training job to update the Debugger profiling configuration.</p>"""
    profiler_config: NotRequired[
        "capo_sagemaker.types.profiler_config_for_update.ProfilerConfigForUpdate"
    ]
    """<p>Configuration information for Amazon SageMaker Debugger system monitoring, framework profiling, and storage paths.</p>"""
    profiler_rule_configurations: NotRequired[
        "capo_sagemaker.types.profiler_rule_configurations.ProfilerRuleConfigurations"
    ]
    """<p>Configuration information for Amazon SageMaker Debugger rules for profiling system and framework metrics.</p>"""
    resource_config: NotRequired[
        "capo_sagemaker.types.resource_config_for_update.ResourceConfigForUpdate"
    ]
    """<p>The training job <code>ResourceConfig</code> to update warm pool retention length.</p>"""
    remote_debug_config: NotRequired[
        "capo_sagemaker.types.remote_debug_config_for_update.RemoteDebugConfigForUpdate"
    ]
    """<p>Configuration for remote debugging while the training job is running. You can update the remote debugging configuration when the <code>SecondaryStatus</code> of the job is <code>Downloading</code> or <code>Training</code>.To learn more about the remote debugging functionality of SageMaker, see <a href="https://docs.aws.amazon.com/sagemaker/latest/dg/train-remote-debugging.html">Access a training container through Amazon Web Services Systems Manager (SSM) for remote debugging</a>.</p>"""