hi all, clearML is my goto-tool that watches all experiments behind the scenes! I came here after trying/testing sacred, dvc, mlflow, keepsake, testtube....

question -- the "description" column in the experiment dashboard is useful. Is there a way to programmatically set that in the code? E.g. if my yaml config contains a field description: train with norm obs, but no imitation , I'd like to see that description in the dashboard. In the code, I am hoping I can do something similar to task.connect(config_dict) , but I couldn't find anything in the docs.