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Specifies how long model training can run. When model training reaches the limit, Amazon SageMaker ends the training job. Use this API to cap model training cost.
To stop a job, Amazon SageMaker sends the algorithm the
which delays job termination for120 seconds. Algorithms might use this 120-second
window to save the model artifacts, so the results of training is not lost.
Training algorithms provided by Amazon SageMaker automatically saves the intermediate
results of a model training job (it is best effort case, as model might not be ready
to save as some stages, for example training just started). This intermediate data
is a valid model artifact. You can use it to create a model (
public class StoppingCondition
The StoppingCondition type exposes the following members
Gets and sets the property MaxRuntimeInSeconds.
The maximum length of time, in seconds, that the training job can run. If model training does not complete during this time, Amazon SageMaker ends the job. If value is not specified, default value is 1 day. Maximum value is 5 days.
Supported in: 1.3
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