CleanRoomsML / Paginator / ListTrainingDatasets
ListTrainingDatasets#
- class CleanRoomsML.Paginator.ListTrainingDatasets#
- paginator = client.get_paginator('list_training_datasets') - paginate(**kwargs)#
- Creates an iterator that will paginate through responses from - CleanRoomsML.Client.list_training_datasets().- See also: AWS API Documentation - Request Syntax- response_iterator = paginator.paginate( PaginationConfig={ 'MaxItems': 123, 'PageSize': 123, 'StartingToken': 'string' } ) - Parameters:
- PaginationConfig (dict) – - A dictionary that provides parameters to control pagination. - MaxItems (integer) – - The total number of items to return. If the total number of items available is more than the value specified in max-items then a - NextTokenwill be provided in the output that you can use to resume pagination.
- PageSize (integer) – - The size of each page. 
- StartingToken (string) – - A token to specify where to start paginating. This is the - NextTokenfrom a previous response.
 
- Return type:
- dict 
- Returns:
- Response Syntax- { 'trainingDatasets': [ { 'createTime': datetime(2015, 1, 1), 'updateTime': datetime(2015, 1, 1), 'trainingDatasetArn': 'string', 'name': 'string', 'status': 'ACTIVE', 'description': 'string' }, ], 'NextToken': 'string' } - Response Structure- (dict) – - trainingDatasets (list) – - The training datasets that match the request. - (dict) – - Provides information about the training dataset. - createTime (datetime) – - The time at which the training dataset was created. 
- updateTime (datetime) – - The most recent time at which the training dataset was updated. 
- trainingDatasetArn (string) – - The Amazon Resource Name (ARN) of the training dataset. 
- name (string) – - The name of the training dataset. 
- status (string) – - The status of the training dataset. 
- description (string) – - The description of the training dataset. 
 
 
- NextToken (string) – - A token to resume pagination.