StopTrainingJob

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.

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.

{
   "[TrainingJobName](#SageMaker-StopTrainingJob-request-TrainingJobName)": "string"
}

For information about the parameters that are common to all actions, see Common Parameters.

The request accepts the following data in JSON format.

** TrainingJobName ** The name of the training job to stop.
Type: String
Length Constraints: Minimum length of 1. Maximum length of 63.
Pattern: ^[a-zA-Z0-9](-*[a-zA-Z0-9])*
Required: Yes

If the action is successful, the service sends back an HTTP 200 response with an empty HTTP body.

For information about the errors that are common to all actions, see Common Errors.

ResourceNotFound
Resource being access is not found.
HTTP Status Code: 400

For more information about using this API in one of the language-specific AWS SDKs, see the following: + AWS Command Line Interface + AWS SDK for .NET + AWS SDK for C++ + AWS SDK for Go + AWS SDK for Go - Pilot + AWS SDK for Java + AWS SDK for JavaScript + AWS SDK for PHP V3 + AWS SDK for Python + AWS SDK for Ruby V2