DescribeAutoMLJobResponse ¶

class DescribeAutoMLJobResponse(TypedDict, closed=True):
    auto_ml_job_name: NotRequired["capo_sagemaker.types.auto_ml_job_name.AutoMLJobName"]
    """<p>Returns the name of the AutoML job.</p>"""
    auto_ml_job_arn: NotRequired["capo_sagemaker.types.auto_ml_job_arn.AutoMLJobArn"]
    """<p>Returns the ARN of the AutoML job.</p>"""
    input_data_config: NotRequired[
        "capo_sagemaker.types.auto_ml_input_data_config.AutoMLInputDataConfig"
    ]
    """<p>Returns the input data configuration for the AutoML job.</p>"""
    output_data_config: NotRequired[
        "capo_sagemaker.types.auto_ml_output_data_config.AutoMLOutputDataConfig"
    ]
    """<p>Returns the job's output data config.</p>"""
    role_arn: NotRequired["capo_sagemaker.types.role_arn.RoleArn"]
    """<p>The ARN of the IAM role that has read permission to the input data location and write permission to the output data location in Amazon S3.</p>"""
    auto_ml_job_objective: NotRequired[
        "capo_sagemaker.types.auto_ml_job_objective.AutoMLJobObjective"
    ]
    """<p>Returns the job's objective.</p>"""
    problem_type: NotRequired["capo_sagemaker.types.problem_type.ProblemType"]
    """<p>Returns the job's problem type.</p>"""
    auto_ml_job_config: NotRequired[
        "capo_sagemaker.types.auto_ml_job_config.AutoMLJobConfig"
    ]
    """<p>Returns the configuration for the AutoML job.</p>"""
    creation_time: NotRequired["capo_sagemaker.types.timestamp.Timestamp"]
    """<p>Returns the creation time of the AutoML job.</p>"""
    end_time: NotRequired["capo_sagemaker.types.timestamp.Timestamp"]
    """<p>Returns the end time of the AutoML job.</p>"""
    last_modified_time: NotRequired["capo_sagemaker.types.timestamp.Timestamp"]
    """<p>Returns the job's last modified time.</p>"""
    failure_reason: NotRequired[
        "capo_sagemaker.types.auto_ml_failure_reason.AutoMLFailureReason"
    ]
    """<p>Returns the failure reason for an AutoML job, when applicable.</p>"""
    partial_failure_reasons: NotRequired[
        "capo_sagemaker.types.auto_ml_partial_failure_reasons.AutoMLPartialFailureReasons"
    ]
    """<p>Returns a list of reasons for partial failures within an AutoML job.</p>"""
    best_candidate: NotRequired[
        "capo_sagemaker.types.auto_ml_candidate.AutoMLCandidate"
    ]
    """<p>The best model candidate selected by SageMaker AI Autopilot using both the best objective metric and lowest <a href="https://docs.aws.amazon.com/sagemaker/latest/dg/autopilot-metrics-validation.html">InferenceLatency</a> for an experiment.</p>"""
    auto_ml_job_status: NotRequired[
        "capo_sagemaker.types.auto_ml_job_status.AutoMLJobStatus"
    ]
    """<p>Returns the status of the AutoML job.</p>"""
    auto_ml_job_secondary_status: NotRequired[
        "capo_sagemaker.types.auto_ml_job_secondary_status.AutoMLJobSecondaryStatus"
    ]
    """<p>Returns the secondary status of the AutoML job.</p>"""
    generate_candidate_definitions_only: NotRequired[
        "capo_sagemaker.types.generate_candidate_definitions_only.GenerateCandidateDefinitionsOnly"
    ]
    """<p>Indicates whether the output for an AutoML job generates candidate definitions only.</p>"""
    auto_ml_job_artifacts: NotRequired[
        "capo_sagemaker.types.auto_ml_job_artifacts.AutoMLJobArtifacts"
    ]
    """<p>Returns information on the job's artifacts found in <code>AutoMLJobArtifacts</code>.</p>"""
    resolved_attributes: NotRequired[
        "capo_sagemaker.types.resolved_attributes.ResolvedAttributes"
    ]
    """<p>Contains <code>ProblemType</code>, <code>AutoMLJobObjective</code>, and <code>CompletionCriteria</code>. If you do not provide these values, they are inferred.</p>"""
    model_deploy_config: NotRequired[
        "capo_sagemaker.types.model_deploy_config.ModelDeployConfig"
    ]
    """<p>Indicates whether the model was deployed automatically to an endpoint and the name of that endpoint if deployed automatically.</p>"""
    model_deploy_result: NotRequired[
        "capo_sagemaker.types.model_deploy_result.ModelDeployResult"
    ]
    """<p>Provides information about endpoint for the model deployment.</p>"""