DescribeProcessingJobResponse ¶

class DescribeProcessingJobResponse(TypedDict, closed=True):
    processing_inputs: NotRequired[
        "capo_sagemaker.types.processing_inputs.ProcessingInputs"
    ]
    """<p>The inputs for a processing job.</p>"""
    processing_output_config: NotRequired[
        "capo_sagemaker.types.processing_output_config.ProcessingOutputConfig"
    ]
    """<p>Output configuration for the processing job.</p>"""
    processing_job_name: NotRequired[
        "capo_sagemaker.types.processing_job_name.ProcessingJobName"
    ]
    """<p>The name of the processing job. The name must be unique within an Amazon Web Services Region in the Amazon Web Services account.</p>"""
    processing_resources: NotRequired[
        "capo_sagemaker.types.processing_resources.ProcessingResources"
    ]
    """<p>Identifies the resources, ML compute instances, and ML storage volumes to deploy for a processing job. In distributed training, you specify more than one instance.</p>"""
    stopping_condition: NotRequired[
        "capo_sagemaker.types.processing_stopping_condition.ProcessingStoppingCondition"
    ]
    """<p>The time limit for how long the processing job is allowed to run.</p>"""
    app_specification: NotRequired[
        "capo_sagemaker.types.app_specification.AppSpecification"
    ]
    """<p>Configures the processing job to run a specified container image.</p>"""
    environment: NotRequired[
        "capo_sagemaker.types.processing_environment_map.ProcessingEnvironmentMap"
    ]
    """<p>The environment variables set in the Docker container.</p>"""
    network_config: NotRequired["capo_sagemaker.types.network_config.NetworkConfig"]
    """<p>Networking options for a processing job.</p>"""
    role_arn: NotRequired["capo_sagemaker.types.role_arn.RoleArn"]
    """<p>The Amazon Resource Name (ARN) of an IAM role that Amazon SageMaker can assume to perform tasks on your behalf.</p>"""
    experiment_config: NotRequired[
        "capo_sagemaker.types.experiment_config.ExperimentConfig"
    ]
    """<p>The configuration information used to create an experiment.</p>"""
    processing_job_arn: NotRequired[
        "capo_sagemaker.types.processing_job_arn.ProcessingJobArn"
    ]
    """<p>The Amazon Resource Name (ARN) of the processing job.</p>"""
    processing_job_status: NotRequired[
        "capo_sagemaker.types.processing_job_status.ProcessingJobStatus"
    ]
    """<p>Provides the status of a processing job.</p>"""
    exit_message: NotRequired["capo_sagemaker.types.exit_message.ExitMessage"]
    """<p>An optional string, up to one KB in size, that contains metadata from the processing container when the processing job exits.</p>"""
    failure_reason: NotRequired["capo_sagemaker.types.failure_reason.FailureReason"]
    """<p>A string, up to one KB in size, that contains the reason a processing job failed, if it failed.</p>"""
    processing_end_time: NotRequired["capo_sagemaker.types.timestamp.Timestamp"]
    """<p>The time at which the processing job completed.</p>"""
    processing_start_time: NotRequired["capo_sagemaker.types.timestamp.Timestamp"]
    """<p>The time at which the processing job started.</p>"""
    last_modified_time: NotRequired["capo_sagemaker.types.timestamp.Timestamp"]
    """<p>The time at which the processing job was last modified.</p>"""
    creation_time: NotRequired["capo_sagemaker.types.timestamp.Timestamp"]
    """<p>The time at which the processing job was created.</p>"""
    monitoring_schedule_arn: NotRequired[
        "capo_sagemaker.types.monitoring_schedule_arn.MonitoringScheduleArn"
    ]
    """<p>The ARN of a monitoring schedule for an endpoint associated with this processing job.</p>"""
    auto_ml_job_arn: NotRequired["capo_sagemaker.types.auto_ml_job_arn.AutoMLJobArn"]
    """<p>The ARN of an AutoML job associated with this processing job.</p>"""
    training_job_arn: NotRequired[
        "capo_sagemaker.types.training_job_arn.TrainingJobArn"
    ]
    """<p>The ARN of a training job associated with this processing job.</p>"""