get_ml_transforms ¶

def get_ml_transforms(
    self,
    *,
    config_overrides: Optional[GlueClientConfig] = None,
    next_token: Optional["capo_glue.types.pagination_token.PaginationToken"] = None,
    max_results: Optional["capo_glue.types.page_size.PageSize"] = None,
    filter: Optional[
        "capo_glue.types.transform_filter_criteria.TransformFilterCriteria"
    ] = None,
    sort: Optional[
        "capo_glue.types.transform_sort_criteria.TransformSortCriteria"
    ] = None,
) -> "capo_glue.types.get_ml_transforms_response.GetMLTransformsResponse":
    """<p>Gets a sortable, filterable list of existing Glue machine learning transforms. Machine learning transforms are a special type of transform that use machine learning to learn the details of the transformation to be performed by learning from examples provided by humans. These transformations are then saved by Glue, and you can retrieve their metadata by calling <code>GetMLTransforms</code>.</p>

    Args:
        next_token: <p>A paginated token to offset the results.</p>
        max_results: <p>The maximum number of results to return.</p>
        filter: <p>The filter transformation criteria.</p>
        sort: <p>The sorting criteria.</p>

    Raises:
        capo_glue.errors.entity_not_found_exception.EntityNotFoundException: <p>A specified entity does not exist</p>
        capo_glue.errors.internal_service_exception.InternalServiceException: <p>An internal service error occurred.</p>
        capo_glue.errors.invalid_input_exception.InvalidInputException: <p>The input provided was not valid.</p>
        capo_glue.errors.operation_timeout_exception.OperationTimeoutException: <p>The operation timed out.</p>
        capo_glue.errors.UnknownServiceError: The service returned an error code this client does not model.
    """

    def _handler(
        req: "OperationRequest[capo_glue.types.get_ml_transforms_request.GetMLTransformsRequest]",
    ) -> OperationResponse[
        "capo_glue.types.get_ml_transforms_response.GetMLTransformsResponse"
    ]:
        import capo_glue._operations.aws_glue.get_ml_transforms

        output, http_response = (
            capo_glue._operations.aws_glue.get_ml_transforms.get_ml_transforms(
                req.options, req.input
            )
        )
        return OperationResponse(output=output, response=http_response)

    interceptors_, options_ = self.operation_options(
        config_overrides, OperationLogging("GetMLTransforms")
    )
    input_: capo_glue.types.get_ml_transforms_request.GetMLTransformsRequest = {}
    if next_token is not None:
        input_["next_token"] = next_token
    if max_results is not None:
        input_["max_results"] = max_results
    if filter is not None:
        input_["filter"] = filter
    if sort is not None:
        input_["sort"] = sort

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