describe_algorithm ¶

def describe_algorithm(
    self,
    *,
    config_overrides: Optional[SageMakerClientConfig] = None,
    algorithm_name: Optional["capo_sagemaker.types.arn_or_name.ArnOrName"] = None,
) -> "capo_sagemaker.types.describe_algorithm_output.DescribeAlgorithmOutput":
    """<p>Returns a description of the specified algorithm that is in your account.</p>

    Args:
        algorithm_name: <p>The name of the algorithm to describe.</p>

    Raises:
        capo_sagemaker.errors.UnknownServiceError: The service returned an error code this client does not model.
    """

    def _handler(
        req: "OperationRequest[capo_sagemaker.types.describe_algorithm_input.DescribeAlgorithmInput]",
    ) -> OperationResponse[
        "capo_sagemaker.types.describe_algorithm_output.DescribeAlgorithmOutput"
    ]:
        import capo_sagemaker._operations.sage_maker.describe_algorithm

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

    interceptors_, options_ = self.operation_options(
        config_overrides, OperationLogging("DescribeAlgorithm")
    )
    input_: capo_sagemaker.types.describe_algorithm_input.DescribeAlgorithmInput = {}
    if algorithm_name is not None:
        input_["algorithm_name"] = algorithm_name

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