Services or capabilities described in Amazon Web Services documentation might vary by Region. To see the differences applicable to the China Regions,
see Getting Started with Amazon Web Services in China
(PDF).
Stop your load test
You might want to stop a job that is currently running if you began a job by
mistake or no longer need to run the job. Stop your load test jobs programmatically
with the StopInferenceRecommendationsJob
API, or through Studio Classic or
the SageMaker AI console.
- Amazon SDK for Python (Boto3)
-
Specify the job name of the load test for the JobName
field:
sagemaker_client.stop_inference_recommendations_job(
JobName='<INSERT>'
)
- Amazon CLI
-
Specify the job name of the load test for the job-name
flag:
aws sagemaker stop-inference-recommendations-job --job-name <job-name>
- Amazon SageMaker Studio Classic
-
Close the tab where you initiated your custom load job to stop your
Inference Recommender load test.
- SageMaker AI console
-
To stop your load test job through the SageMaker AI console, do the
following:
-
Go to the SageMaker AI console at https://console.amazonaws.cn/sagemaker/.
-
In the left navigation pane, choose
Inference, and then choose
Inference recommender.
-
On the Inference recommender jobs page,
select your load test job.
-
Choose Stop job.
-
In the dialog box that pops up, choose
Confirm.
After stopping your job, the job’s Status should
change to Stopping.