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Databricks MLFlow Export Model

Databricks is a popular platform for developing and managing machine learning models.

With the Kelvin SDK, you can easily convert your Databricks models into a Kelvin SmartApp™, then scale it to the edge to monitor and control all your assets.

It takes only three simple steps;

  1. Import your model from Databricks and automatically create the Kelvin SmartApp™ Python program.
  2. Upload your new Kelvin SmartApp™ to the Kelvin Platform.
  3. Deploy your Kelvin SmartApp™ at scale to the edge to control your Assets.

This example tutorial shows you these three steps from your Databricks environment to your Production Engineers taking actions on the Recommendations produced by the machine learning models.

This demonstration video was done in v5.8.

There may be slight differences with the latest version.

Check the latest documentation for the specific tasks should any feature not quite work as expected.