getMLTaskRuns method

Future<GetMLTaskRunsResponse> getMLTaskRuns({ required String transformId, TaskRunFilterCriteria? filter, int? maxResults, String? nextToken, TaskRunSortCriteria? sort, })

Gets a list of runs for a machine learning transform. Machine learning task runs are asynchronous tasks that Glue runs on your behalf as part of various machine learning workflows. You can get a sortable, filterable list of machine learning task runs by calling GetMLTaskRuns with their parent transform's TransformID and other optional parameters as documented in this section.

This operation returns a list of historic runs and must be paginated.

May throw EntityNotFoundException. May throw InternalServiceException. May throw InvalidInputException. May throw OperationTimeoutException.

Parameter transformId : The unique identifier of the machine learning transform.

Parameter filter : The filter criteria, in the TaskRunFilterCriteria structure, for the task run.

Parameter maxResults : The maximum number of results to return.

Parameter nextToken : A token for pagination of the results. The default is empty.

Parameter sort : The sorting criteria, in the TaskRunSortCriteria structure, for the task run.

Implementation

Future<GetMLTaskRunsResponse> getMLTaskRuns({
  required String transformId,
  TaskRunFilterCriteria? filter,
  int? maxResults,
  String? nextToken,
  TaskRunSortCriteria? sort,
}) async {
  _s.validateNumRange(
    'maxResults',
    maxResults,
    1,
    1000,
  );
  final headers = <String, String>{
    'Content-Type': 'application/x-amz-json-1.1',
    'X-Amz-Target': 'AWSGlue.GetMLTaskRuns'
  };
  final jsonResponse = await _protocol.send(
    method: 'POST',
    requestUri: '/',
    exceptionFnMap: _exceptionFns,
    // TODO queryParams
    headers: headers,
    payload: {
      'TransformId': transformId,
      if (filter != null) 'Filter': filter,
      if (maxResults != null) 'MaxResults': maxResults,
      if (nextToken != null) 'NextToken': nextToken,
      if (sort != null) 'Sort': sort,
    },
  );

  return GetMLTaskRunsResponse.fromJson(jsonResponse.body);
}