Smaws_Client_SageMaker.StopTrainingJobStops 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.
val error_to_string :
[ Smaws_Lib.Protocols.AwsJson.error
| `ResourceNotFound of Types.resource_not_found ] ->
stringval request :
'http_type Smaws_Lib.Context.t ->
Types.stop_training_job_request ->
(Smaws_Lib.Smithy_api.Types.unit_,
[> Smaws_Lib.Protocols.AwsJson.error
| `ResourceNotFound of Types.resource_not_found ])
Stdlib.resultval request_with_metadata :
'http_type Smaws_Lib.Context.t ->
Types.stop_training_job_request ->
(Smaws_Lib.Smithy_api.Types.unit_ Smaws_Lib.Response.t,
[> Smaws_Lib.Protocols.AwsJson.error
| `ResourceNotFound of Types.resource_not_found ]
* Smaws_Lib.Response.metadata)
Stdlib.result