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 to Stopping. After SageMaker stops the job, it sets the status to Stopped.

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