One thing I think it's useful to point out for Databricks users is that you would typically not use MLflow Projects to describe execution of a modeling run. You would just use MLflow directly in Databricks and use Databricks notebooks to manage code and libraries. However you can still execute an MLflow Project against Databricks from outside Databricks.