This is generally not how you use MLflow in Databricks. You are already in Databricks so do not need to send code to Databricks to execute. Instead just run your code in a notebook; there is no need to package as an MLflow Project. Projects are primarily for use outside of Databricks, though you can send them to Databricks to execute - though you'd do that from a CLI from elsewhere.