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.ValidationException
LookoutEquipment.Client.exceptions.ThrottlingException
LookoutEquipment.Client.exceptions.AccessDeniedException
LookoutEquipment.Client.exceptions.InternalServerException