Lai, Weijian eda19245f1 modelarts sdk-ref version 21.430 update

Reviewed-by: Jiang, Beibei <beibei.jiang@t-systems.com>
Reviewed-by: Rechenburg, Matthias <matthias.rechenburg@t-systems.com>
Co-authored-by: Lai, Weijian <laiweijian4@huawei.com>
Co-committed-by: Lai, Weijian <laiweijian4@huawei.com>

2023-03-20 09:32:27 +00:00

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Deleting a Training Job

Sample Code

In the ModelArts notebook instance, 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: Delete a training job based on the specified job_id.

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from modelarts.session import Session
from modelarts.estimator import Estimator
session = Session()
Estimator.delete_job_by_id(modelarts_session=session, job_id="155500")

Method 2: Delete the training job created in Creating a Training Job.

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status = job_instance.delete_job()

Parameter Description

**Table 1** **delete_job_by_id** 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. You can query job_id using the training job object generated in Creating a Training Job, for example, job_instance.job_id, or from the response obtained in Obtaining Training Jobs.

**Table 2** **delete_job_by_id** 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 call fails. This parameter is not included when the API call succeeds.
is_success	Boolean	Whether the API call succeeds

Parent topic: Training Jobs

10 KiB Raw Blame History

Deleting a Training Job

Sample Code

Parameter Description

10 KiB

Raw Blame History