LookoutforVision / Paginator / ListModels
ListModels#
- class LookoutforVision.Paginator.ListModels#
- paginator = client.get_paginator('list_models') - paginate(**kwargs)#
- Creates an iterator that will paginate through responses from - LookoutforVision.Client.list_models().- See also: AWS API Documentation - Request Syntax- response_iterator = paginator.paginate( ProjectName='string', PaginationConfig={ 'MaxItems': 123, 'PageSize': 123, 'StartingToken': 'string' } ) - Parameters:
- ProjectName (string) – - [REQUIRED] - The name of the project that contains the model versions that you want to list. 
- 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- { 'Models': [ { 'CreationTimestamp': datetime(2015, 1, 1), 'ModelVersion': 'string', 'ModelArn': 'string', 'Description': 'string', 'Status': 'TRAINING'|'TRAINED'|'TRAINING_FAILED'|'STARTING_HOSTING'|'HOSTED'|'HOSTING_FAILED'|'STOPPING_HOSTING'|'SYSTEM_UPDATING'|'DELETING', 'StatusMessage': 'string', 'Performance': { 'F1Score': ..., 'Recall': ..., 'Precision': ... } }, ], } - Response Structure- (dict) – - Models (list) – - A list of model versions in the specified project. - (dict) – - Describes an Amazon Lookout for Vision model. - CreationTimestamp (datetime) – - The unix timestamp for the date and time that the model was created. 
- ModelVersion (string) – - The version of the model. 
- ModelArn (string) – - The Amazon Resource Name (ARN) of the model. 
- Description (string) – - The description for the model. 
- Status (string) – - The status of the model. 
- StatusMessage (string) – - The status message for the model. 
- Performance (dict) – - Performance metrics for the model. Not available until training has successfully completed. - F1Score (float) – - The overall F1 score metric for the trained model. 
- Recall (float) – - The overall recall metric value for the trained model. 
- Precision (float) – - The overall precision metric value for the trained model.