SageMaker / Client / stop_training_job
stop_training_job#
- SageMaker.Client.stop_training_job(**kwargs)#
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 toStopping
. After SageMaker stops the job, it sets the status toStopped
.See also: AWS API Documentation
Request Syntax
response = client.stop_training_job( TrainingJobName='string' )
- Parameters:
TrainingJobName (string) –
[REQUIRED]
The name of the training job to stop.
- Returns:
None
Exceptions
SageMaker.Client.exceptions.ResourceNotFound