Join discussions on data engineering best practices, architectures, and optimization strategies within the Databricks Community. Exchange insights and solutions with fellow data engineers.
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.
Just wanted to check in if you were able to resolve your issue or do you need more help? We'd love to hear from you.
Thanks!
Connect with Databricks Users in Your Area
Join a Regional User Group to connect with local Databricks users. Events will be happening in your city, and you won’t want to miss the chance to attend and share knowledge.
If there isn’t a group near you, start one and help create a community that brings people together.
