Tomás Rojas
03/26/2023, 9:45 PMDeepyaman Datta
03/27/2023, 3:28 AMkedro-mlflow
? In which case, questions are better to also ask on their GitHub project (as it's not a plugin maintained by the core team).Yetunde
03/27/2023, 8:12 AMkedro-mlflow
then you might be able to also pop a question in #plugins-integrationsYolan Honoré-Rougé
03/28/2023, 8:38 PMsettings.py
.
You can remove the mlruns/
folder and the MLProject
file safely, but mlflow will automatically recreate the mlruns/
folder at the root of the project if there is a single call to log_param/log_metric/log_artifact/log_model
somewhere in your pipeline. I strongly recommend to centralise logging either in a custom hook or use the kedro-mlflow plugin (disclaimer: I am the author of the plugin) so you can easily switch it on / off in settings.py