StartRetrainingScheduler
Starts a retraining scheduler.
Request Syntax
{
"ModelName": "string
"
}
Request Parameters
The request accepts the following data in JSON format.
- ModelName
-
The name of the model whose retraining scheduler you want to start.
Type: String
Length Constraints: Minimum length of 1. Maximum length of 200.
Pattern:
^[0-9a-zA-Z_-]{1,200}$
Required: Yes
Response Syntax
{
"ModelArn": "string",
"ModelName": "string",
"Status": "string"
}
Response Elements
If the action is successful, the service sends back an HTTP 200 response.
The following data is returned in JSON format by the service.
- ModelArn
-
The ARN of the model whose retraining scheduler is being started.
Type: String
Length Constraints: Minimum length of 20. Maximum length of 2048.
Pattern:
arn:aws(-[^:]+)?:lookoutequipment:[a-zA-Z0-9\-]*:[0-9]{12}:model\/.+
- ModelName
-
The name of the model whose retraining scheduler is being started.
Type: String
Length Constraints: Minimum length of 1. Maximum length of 200.
Pattern:
^[0-9a-zA-Z_-]{1,200}$
- Status
-
The status of the retraining scheduler.
Type: String
Valid Values:
PENDING | RUNNING | STOPPING | STOPPED
Errors
- AccessDeniedException
-
The request could not be completed because you do not have access to the resource.
HTTP Status Code: 400
- ConflictException
-
The request could not be completed due to a conflict with the current state of the target resource.
HTTP Status Code: 400
- InternalServerException
-
Processing of the request has failed because of an unknown error, exception or failure.
HTTP Status Code: 500
- ResourceNotFoundException
-
The resource requested could not be found. Verify the resource ID and retry your request.
HTTP Status Code: 400
- ThrottlingException
-
The request was denied due to request throttling.
HTTP Status Code: 400
- ValidationException
-
The input fails to satisfy constraints specified by Amazon Lookout for Equipment or a related AWS service that's being utilized.
HTTP Status Code: 400
See Also
For more information about using this API in one of the language-specific AWS SDKs, see the following: