Stopping a Training Job Version¶

You can stop a training job version that is being created only when the job is running.

Sample Code¶

In ModelArts notebook, you do not need to enter authentication parameters for session authentication. For details about session authentication of other development environments, see Session Authentication.

Method 1: Stop a training job version based on the specified job_id and version_id.

from modelarts.session import Session
from modelarts.estimator import Estimator
session = Session()
estimator = Estimator(session, job_id="182626", version_id="278813")
status = estimator.stop_job_version()

Method 2: Stop the training job version created in Creating a Training Job Version.
```
status = job_version_instance.stop_job_version()
```
Method 3: Stop the training job version object returned in Querying the List of Training Job Versions.
```
status = job_version_instance_list[0].stop_job_version()
```

Parameter Description¶

**Table 1** Estimator request parameters¶
Parameter	Mandatory	Type	Description
modelarts_session	Yes	Object	Session object. For details about the initialization method, see Session Authentication.
job_id	Yes	String	ID of a training job. Obtain job_id using the training job object generated in Creating a Training Job, for example, job_instance.job_id, or from the response in Obtaining Training Jobs.
version_id	Yes	String	Version ID of a training job. Obtain version_id from the response in Querying the List of Training Job Versions.

**Table 2** **stop_job_version** response parameters¶
Parameter	Type	Description
error_msg	String	Error message when the API call fails. This parameter is not included when the API call succeeds.
error_code	String	Error code when the API fails to be called. For details, see Error Codes in ModelArts API Reference. This parameter is not included when the API call succeeds.
is_success	Boolean	Whether the API call succeeds

last updated: 2024-12-11 13:55 UTC - commit: afb4a7dfa15e256dc933e946d9e874db041cb35c