createRetrainingScheduler method
Creates a retraining scheduler on the specified model.
May throw AccessDeniedException.
May throw ConflictException.
May throw InternalServerException.
May throw ResourceNotFoundException.
May throw ThrottlingException.
May throw ValidationException.
Parameter lookbackWindow :
The number of past days of data that will be used for retraining.
Parameter modelName :
The name of the model to add the retraining scheduler to.
Parameter retrainingFrequency :
This parameter uses the ISO 8601
standard to set the frequency at which you want retraining to occur in
terms of Years, Months, and/or Days (note: other parameters like Time are
not currently supported). The minimum value is 30 days (P30D) and the
maximum value is 1 year (P1Y). For example, the following values are
valid:
- P3M15D – Every 3 months and 15 days
- P2M – Every 2 months
- P150D – Every 150 days
Parameter clientToken :
A unique identifier for the request. If you do not set the client request
token, Amazon Lookout for Equipment generates one.
Parameter promoteMode :
Indicates how the service will use new models. In MANAGED
mode, new models will automatically be used for inference if they have
better performance than the current model. In MANUAL mode,
the new models will not be used until
they are manually activated.
Parameter retrainingStartDate :
The start date for the retraining scheduler. Lookout for Equipment
truncates the time you provide to the nearest UTC day.
Implementation
Future<CreateRetrainingSchedulerResponse> createRetrainingScheduler({
required String lookbackWindow,
required String modelName,
required String retrainingFrequency,
String? clientToken,
ModelPromoteMode? promoteMode,
DateTime? retrainingStartDate,
}) async {
final headers = <String, String>{
'Content-Type': 'application/x-amz-json-1.0',
'X-Amz-Target':
'AWSLookoutEquipmentFrontendService.CreateRetrainingScheduler'
};
final jsonResponse = await _protocol.send(
method: 'POST',
requestUri: '/',
exceptionFnMap: _exceptionFns,
// TODO queryParams
headers: headers,
payload: {
'LookbackWindow': lookbackWindow,
'ModelName': modelName,
'RetrainingFrequency': retrainingFrequency,
'ClientToken': clientToken ?? _s.generateIdempotencyToken(),
if (promoteMode != null) 'PromoteMode': promoteMode.value,
if (retrainingStartDate != null)
'RetrainingStartDate': unixTimestampToJson(retrainingStartDate),
},
);
return CreateRetrainingSchedulerResponse.fromJson(jsonResponse.body);
}