Deleting a Training Job Configuration

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: Delete a training job parameter configuration based on the specified config_name.

      
           from modelarts.session import Session
from modelarts.estimator import Estimator
session = Session()
estimator = Estimator(modelarts_session=session, config_name="my_job_config")
status = estimator.delete_job_configs()

Method 2: Delete the training job parameter configuration created in Creating a Training Job Configuration.
1

status = job_config_instance.delete_job_configs()

Method 3: Delete the training job parameter configuration object returned in Querying the List of Training Job Parameter Configuration Objects.
1

status = job_config_instance_list[0].delete_job_configs()

Parameters

**Table 1** Estimator request parameters
Parameter	Mandatory	Type	Description
modelarts_session	Yes	Object	Session object. For details about the initialization method, see Session Authentication.
config_name	Yes	String	Name of a training job parameter configuration

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