Hello all, I've seen some previous discussion on GDPR compliance, and came across this thread detailing a

metaflow garbage-collect

command (https://github.com/Netflix/metaflow/issues/530) We do have a use case where a user will want to delete some data. Maybe the user will want to delete a certain feature that cannot be used anymore. Then, we need to figure out what version of the model was using that designated feature and then we subsequently delete that version of the model, and then retrain without that particular feature. Any advice or stop-gap solution for facilitating this?