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Stops a training job. To stop a job, Amazon SageMaker sends the algorithm the
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
For .NET Core and PCL this operation is only available in asynchronous form. Please refer to StopTrainingJobAsync.
public virtual StopTrainingJobResponse StopTrainingJob( StopTrainingJobRequest request )
Container for the necessary parameters to execute the StopTrainingJob service method.
|ResourceNotFoundException||Resource being access is not found.|
Supported in: 4.5, 4.0, 3.5
Portable Class Library:
Supported in: Windows Store Apps
Supported in: Windows Phone 8.1
Supported in: Xamarin Android
Supported in: Xamarin iOS (Unified)
Supported in: Xamarin.Forms