describe_feature_metadata ¶

def describe_feature_metadata(
    self,
    *,
    config_overrides: Optional[SageMakerClientConfig] = None,
    feature_group_name: Optional[
        "capo_sagemaker.types.feature_group_name_or_arn.FeatureGroupNameOrArn"
    ] = None,
    feature_name: Optional["capo_sagemaker.types.feature_name.FeatureName"] = None,
) -> "capo_sagemaker.types.describe_feature_metadata_response.DescribeFeatureMetadataResponse":
    """<p>Shows the metadata for a feature within a feature group.</p>

    Args:
        feature_group_name: <p>The name or Amazon Resource Name (ARN) of the feature group containing the feature.</p>
        feature_name: <p>The name of the feature.</p>

    Raises:
        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.describe_feature_metadata_request.DescribeFeatureMetadataRequest]",
    ) -> OperationResponse[
        "capo_sagemaker.types.describe_feature_metadata_response.DescribeFeatureMetadataResponse"
    ]:
        import capo_sagemaker._operations.sage_maker.describe_feature_metadata

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

    interceptors_, options_ = self.operation_options(
        config_overrides, OperationLogging("DescribeFeatureMetadata")
    )
    input_: capo_sagemaker.types.describe_feature_metadata_request.DescribeFeatureMetadataRequest = {}
    if feature_group_name is not None:
        input_["feature_group_name"] = feature_group_name
    if feature_name is not None:
        input_["feature_name"] = feature_name

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