stop_training_job

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

• SageMaker.Client.exceptions.ResourceNotFound