Querying the List of Training Job Parameter Configuration Objects

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.

    
         from modelarts.session import Session
from modelarts.estimator import Estimator
session = Session()
job_config_instance_list = Estimator.get_job_configs_object_list(modelarts_session=session, is_show=True, per_page=10, page=1, sort_by="create_time", order="asc", search_content="configname")
print(job_config_instance_list)

Parameters

**Table 1** **get_job_configs_object_list** request parameters
Parameter	Mandatory	Type	Description
modelarts_session	Yes	Object	Session object. For details about the initialization method, see Session Authentication.
per_page	No	Integer	Number of job parameters displayed on each page. The value range is [1, 1000]. Default value: 10
page	No	Integer	Index of the page to be queried. Default value: 1
sortBy/sort_by	No	String	When AK/SK-based authentication is used, the parameter name is sortBy. When the username and password are used for authentication, the parameter name is sort_by. The parameter specifies the sorting mode of the query. The value can be job_name, job_desc, status, duration, engine_type, or create_time. Default value: job_name
order	No	String	Sorting order. The options are as follows: asc: ascending order. It is the default value. desc: descending order
search_content	No	String	Search content, for example, a parameter name. By default, this parameter is left blank.
is_show	No	Boolean	Whether to print the training job parameter configuration list. Default value: True

A training object list is returned in the successful response to get_job_configs_object_list. For details, see Table 2.

**Table 2** **TrainingJob** object description
Parameter	Type	Description
TrainingJob	Object	Training object. This object contains attributes such as config_name, and operations on a training job parameter configuration, such as querying or deleting the training job parameter configuration. For example, you can use job_config_instance.config_name to obtain the name of a training job parameter configuration.