Hi team, how can I completely remove mlflow from a project safely?

I assume you're using

kedro-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).

If it's

kedro-mlflow

then you might be able to also pop a question in #plugins-integrations

Hi, I am not sure what you call "remove mlflow safely". It seems you don't use kedro-mlflow because the documentation do not nudge you to use the MLProject file, even if it can work with it. Basically it is very lilely that you use a custom implementation where a hook logs in mlflow. If it is the case, the best way is to remove the hooks in

settings.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