Querying the List of Training Job Configurations

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_paras_list = Estimator.get_job_configs_list(modelarts_session=session, per_page=10, page=1, sort_by="create_time", order="asc", search_content="configname")
print(job_paras_list)

Parameters

**Table 1** **get_job_configs_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 account-based authentication is used, 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.

**Table 2** **get_job_configs_list** 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.
config_total_count	Integer	Total number of the queried training job configurations
configs	JSON Array	configs parameters
is_success	Boolean	Whether the API call succeeds

**Table 3** **configs** parameters
Parameter	Type	Description
config_name	String	Name of a training job parameter configuration
config_desc	String	Description of a training job parameter configuration
create_time	Long	Time when a training job is created
engine_type	Short	Engine type of a training job
engine_name	String	Name of the engine selected for a training job
engine_id	Long	ID of the engine selected for a training job
engine_version	String	Version of the engine selected for a training job