list_models(**kwargs)¶Generates a list of all models in the account, including model name and ARN, dataset, and status.
See also: AWS API Documentation
Request Syntax
response = client.list_models(
    NextToken='string',
    MaxResults=123,
    Status='IN_PROGRESS'|'SUCCESS'|'FAILED',
    ModelNameBeginsWith='string',
    DatasetNameBeginsWith='string'
)
dict
Response Syntax
{
    'NextToken': 'string',
    'ModelSummaries': [
        {
            'ModelName': 'string',
            'ModelArn': 'string',
            'DatasetName': 'string',
            'DatasetArn': 'string',
            'Status': 'IN_PROGRESS'|'SUCCESS'|'FAILED',
            'CreatedAt': datetime(2015, 1, 1)
        },
    ]
}
Response Structure
(dict) --
NextToken (string) --
An opaque pagination token indicating where to continue the listing of ML models.
ModelSummaries (list) --
Provides information on the specified model, including created time, model and dataset ARNs, and status.
(dict) --
Provides information about the specified ML model, including dataset and model names and ARNs, as well as status.
ModelName (string) --
The name of the ML model.
ModelArn (string) --
The Amazon Resource Name (ARN) of the ML model.
DatasetName (string) --
The name of the dataset being used for the ML model.
DatasetArn (string) --
The Amazon Resource Name (ARN) of the dataset used to create the model.
Status (string) --
Indicates the status of the ML model.
CreatedAt (datetime) --
The time at which the specific model was created.
Exceptions
LookoutEquipment.Client.exceptions.ValidationExceptionLookoutEquipment.Client.exceptions.ThrottlingExceptionLookoutEquipment.Client.exceptions.AccessDeniedExceptionLookoutEquipment.Client.exceptions.InternalServerException