StartPipelineExecutionRequest ¶

class StartPipelineExecutionRequest(TypedDict, closed=True):
    pipeline_name: NotRequired[
        "capo_sagemaker.types.pipeline_name_or_arn.PipelineNameOrArn"
    ]
    """<p>The name or Amazon Resource Name (ARN) of the pipeline.</p>"""
    pipeline_execution_display_name: NotRequired[
        "capo_sagemaker.types.pipeline_execution_name.PipelineExecutionName"
    ]
    """<p>The display name of the pipeline execution.</p>"""
    pipeline_parameters: NotRequired[
        "capo_sagemaker.types.parameter_list.ParameterList"
    ]
    """<p>Contains a list of pipeline parameters. This list can be empty. </p>"""
    pipeline_execution_description: NotRequired[
        "capo_sagemaker.types.pipeline_execution_description.PipelineExecutionDescription"
    ]
    """<p>The description of the pipeline execution.</p>"""
    client_request_token: NotRequired[
        "capo_sagemaker.types.idempotency_token.IdempotencyToken"
    ]
    """<p>A unique, case-sensitive identifier that you provide to ensure the idempotency of the operation. An idempotent operation completes no more than once.</p>"""
    parallelism_configuration: NotRequired[
        "capo_sagemaker.types.parallelism_configuration.ParallelismConfiguration"
    ]
    """<p>This configuration, if specified, overrides the parallelism configuration of the parent pipeline for this specific run.</p>"""
    selective_execution_config: NotRequired[
        "capo_sagemaker.types.selective_execution_config.SelectiveExecutionConfig"
    ]
    """<p>The selective execution configuration applied to the pipeline run.</p>"""
    pipeline_version_id: NotRequired[
        "capo_sagemaker.types.pipeline_version_id.PipelineVersionId"
    ]
    """<p>The ID of the pipeline version to start execution from.</p>"""
    mlflow_experiment_name: NotRequired[
        "capo_sagemaker.types.mlflow_experiment_entity_name.MlflowExperimentEntityName"
    ]
    """<p> The MLflow experiment name of the pipeline execution. </p>"""