SageMaker / Client / stop_training_job
Stops a training job. To stop a job, SageMaker sends the algorithm the
SIGTERMsignal, 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
StopTrainingJobrequest, SageMaker changes the status of the job to
Stopping. After SageMaker stops the job, it sets the status to
See also: AWS API Documentation
response = client.stop_training_job( TrainingJobName='string' )
TrainingJobName (string) –
The name of the training job to stop.