create_model_card_export_job ¶

def create_model_card_export_job(
    self,
    *,
    config_overrides: Optional[SageMakerClientConfig] = None,
    model_card_name: Optional[
        "capo_sagemaker.types.model_card_name_or_arn.ModelCardNameOrArn"
    ] = None,
    model_card_version: Optional["capo_sagemaker.types.integer.Integer"] = None,
    model_card_export_job_name: Optional[
        "capo_sagemaker.types.entity_name.EntityName"
    ] = None,
    output_config: Optional[
        "capo_sagemaker.types.model_card_export_output_config.ModelCardExportOutputConfig"
    ] = None,
) -> "capo_sagemaker.types.create_model_card_export_job_response.CreateModelCardExportJobResponse":
    """<p>Creates an Amazon SageMaker Model Card export job.</p>

    Args:
        model_card_name: <p>The name or Amazon Resource Name (ARN) of the model card to export.</p>
        model_card_version: <p>The version of the model card to export. If a version is not provided, then the latest version of the model card is exported.</p>
        model_card_export_job_name: <p>The name of the model card export job.</p>
        output_config: <p>The model card output configuration that specifies the Amazon S3 path for exporting.</p>

    Raises:
        capo_sagemaker.errors.conflict_exception.ConflictException: <p>There was a conflict when you attempted to modify a SageMaker entity such as an <code>Experiment</code> or <code>Artifact</code>.</p>
        capo_sagemaker.errors.resource_limit_exceeded.ResourceLimitExceeded: <p> You have exceeded an SageMaker resource limit. For example, you might have too many training jobs created. </p>
        capo_sagemaker.errors.resource_not_found.ResourceNotFound: <p>Resource being access is not found.</p>
        capo_sagemaker.errors.UnknownServiceError: The service returned an error code this client does not model.
    """

    def _handler(
        req: "OperationRequest[capo_sagemaker.types.create_model_card_export_job_request.CreateModelCardExportJobRequest]",
    ) -> OperationResponse[
        "capo_sagemaker.types.create_model_card_export_job_response.CreateModelCardExportJobResponse"
    ]:
        import capo_sagemaker._operations.sage_maker.create_model_card_export_job

        output, http_response = (
            capo_sagemaker._operations.sage_maker.create_model_card_export_job.create_model_card_export_job(
                req.options, req.input
            )
        )
        return OperationResponse(output=output, response=http_response)

    interceptors_, options_ = self.operation_options(
        config_overrides, OperationLogging("CreateModelCardExportJob")
    )
    input_: capo_sagemaker.types.create_model_card_export_job_request.CreateModelCardExportJobRequest = {}
    if model_card_name is not None:
        input_["model_card_name"] = model_card_name
    if model_card_version is not None:
        input_["model_card_version"] = model_card_version
    if model_card_export_job_name is not None:
        input_["model_card_export_job_name"] = model_card_export_job_name
    if output_config is not None:
        input_["output_config"] = output_config

    response = execute_pipeline(
        OperationRequest(input=input_, options=options_),
        handler=_handler,
        interceptors=list(interceptors_),
    )
    response.response.close()
    return response.output