CleanRoomsML / Paginator / ListCollaborationTrainedModels
ListCollaborationTrainedModels¶
- class CleanRoomsML.Paginator.ListCollaborationTrainedModels¶
- paginator = client.get_paginator('list_collaboration_trained_models') - paginate(**kwargs)¶
- Creates an iterator that will paginate through responses from - CleanRoomsML.Client.list_collaboration_trained_models().- See also: AWS API Documentation - Request Syntax- response_iterator = paginator.paginate( collaborationIdentifier='string', PaginationConfig={ 'MaxItems': 123, 'PageSize': 123, 'StartingToken': 'string' } ) - Parameters:
- collaborationIdentifier (string) – - [REQUIRED] - The collaboration ID of the collaboration that contains the trained models you are interested in. 
- 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- { 'collaborationTrainedModels': [ { 'createTime': datetime(2015, 1, 1), 'updateTime': datetime(2015, 1, 1), 'trainedModelArn': 'string', 'name': 'string', 'versionIdentifier': 'string', 'incrementalTrainingDataChannels': [ { 'channelName': 'string', 'versionIdentifier': 'string', 'modelName': 'string' }, ], 'description': 'string', 'membershipIdentifier': 'string', 'collaborationIdentifier': 'string', 'status': 'CREATE_PENDING'|'CREATE_IN_PROGRESS'|'CREATE_FAILED'|'ACTIVE'|'DELETE_PENDING'|'DELETE_IN_PROGRESS'|'DELETE_FAILED'|'INACTIVE'|'CANCEL_PENDING'|'CANCEL_IN_PROGRESS'|'CANCEL_FAILED', 'configuredModelAlgorithmAssociationArn': 'string', 'creatorAccountId': 'string' }, ], 'NextToken': 'string' } - Response Structure- (dict) – - collaborationTrainedModels (list) – - The trained models in the collaboration that you requested. - (dict) – - Provides summary information about a trained model in a collaboration. - createTime (datetime) – - The time at which the trained model was created. 
- updateTime (datetime) – - The most recent time at which the trained model was updated. 
- trainedModelArn (string) – - The Amazon Resource Name (ARN) of the trained model. 
- name (string) – - The name of the trained model. 
- versionIdentifier (string) – - The version identifier of this trained model version. 
- incrementalTrainingDataChannels (list) – - Information about the incremental training data channels used to create this version of the trained model. - (dict) – - Contains information about an incremental training data channel that was used to create a trained model. This structure provides details about the base model and channel configuration used during incremental training. - channelName (string) – - The name of the incremental training data channel that was used. 
- versionIdentifier (string) – - The version identifier of the trained model that was used for incremental training. 
- modelName (string) – - The name of the base trained model that was used for incremental training. 
 
 
- description (string) – - The description of the trained model. 
- membershipIdentifier (string) – - The membership ID of the member that created the trained model. 
- collaborationIdentifier (string) – - The collaboration ID of the collaboration that contains the trained model. 
- status (string) – - The status of the trained model. 
- configuredModelAlgorithmAssociationArn (string) – - The Amazon Resource Name (ARN) of the configured model algorithm association that is used for this trained model. 
- creatorAccountId (string) – - The account ID of the member that created the trained model. 
 
 
- NextToken (string) – - A token to resume pagination.