Copyright | (c) 2013-2018 Brendan Hay |
---|---|
License | Mozilla Public License, v. 2.0. |
Maintainer | Brendan Hay <brendan.g.hay+amazonka@gmail.com> |
Stability | auto-generated |
Portability | non-portable (GHC extensions) |
Safe Haskell | None |
Language | Haskell2010 |
Stops a training job. To stop a job, Amazon 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.
Training algorithms provided by Amazon SageMaker save the intermediate results of a model training job. This intermediate data is a valid model artifact. You can use the model artifacts that are saved when Amazon SageMaker stops a training job to create a model.
When it receives a StopTrainingJob
request, Amazon SageMaker changes the status of the job to Stopping
. After Amazon SageMaker stops the job, it sets the status to Stopped
.
Creating a Request
Creates a value of StopTrainingJob
with the minimum fields required to make a request.
Use one of the following lenses to modify other fields as desired:
stjTrainingJobName
- The name of the training job to stop.
data StopTrainingJob Source #
See: stopTrainingJob
smart constructor.
Request Lenses
stjTrainingJobName :: Lens' StopTrainingJob Text Source #
The name of the training job to stop.
Destructuring the Response
stopTrainingJobResponse :: StopTrainingJobResponse Source #
Creates a value of StopTrainingJobResponse
with the minimum fields required to make a request.
data StopTrainingJobResponse Source #
See: stopTrainingJobResponse
smart constructor.