Workflow

The following is a typical workflow for using H2O MLOps with Driverless AI:

1. Create a new project in MLOps. The new project appears on the Driverless AI Projects page.

2. In Driverless AI, open your project and create a new experiment. You can also link any existing datasets and experiments to the project. For more information, see the page on the Projects workspace in the Driverless AI documentation.

3. After the experiment is completed, link that experiment to your project. For more information, see the page on linking experiments in the Driverless AI documentation.

4. In MLOps, register the experiment as a model, then deploy the model to Dev or Production.

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