StopTrainingJob
Stops a training job. To stop a job, SageMaker sends the algorithm the
SIGTERM signal, which delays job termination for 120 seconds.
Algorithms might use this 120-second window to save the model artifacts, so the results
of the training is not lost.
When it receives a StopTrainingJob request, SageMaker changes the status of
the job to Stopping. After SageMaker stops the job, it sets the status to
Stopped.
Request Syntax
{
"TrainingJobName": "string"
}Request Parameters
For information about the parameters that are common to all actions, see Common Parameters.
The request accepts the following data in JSON format.
- TrainingJobName
-
The name of the training job to stop.
Type: String
Length Constraints: Minimum length of 1. Maximum length of 63.
Pattern:
^[a-zA-Z0-9](-*[a-zA-Z0-9]){0,62}Required: Yes
Response Elements
If the action is successful, the service sends back an HTTP 200 response with an empty HTTP body.
Errors
For information about the errors that are common to all actions, see Common Errors.
- ResourceNotFound
-
Resource being access is not found.
HTTP Status Code: 400
See Also
For more information about using this API in one of the language-specific AWS SDKs, see the following:
