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
NextToken
will 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
NextToken
from 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.