I already have a trained and saved model that was created outside of MLflow. What is the best way to handle it if I want this model to be added to an MLflow experiment?
If you can get the model into cloud storage and access the model via DBFS then you should be able to load the model as an object. Once it is loaded you can register it in MLflow or use it in an experiment run.
