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.
1 2 3 4 5 | from modelarts.session import Session from modelarts.estimator import Estimator session = Session() estimator = Estimator(modelarts_session=session, job_id="182626", version_id="278813") job_log_list = estimator.get_job_log_file_list() |
1 | job_log_list = job_instance.get_job_log_file_list() |
1 | job_log_list = job_version_instance_list[0].get_job_log_file_list() |
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 using the training job object generated in Creating a Training Job, for example, job_instance.version_id, or from the response in Obtaining Training Jobs. |
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. |
log_file_list |
List |
Log file name of a training job. A single-node job has only one log file, and a distributed job has multiple log files. |
is_success |
Boolean |
Whether the API call succeeds |