Appendix A: Custom Recipes

This appendix describes how to use custom recipes in Driverless AI. You’re welcome to create your own recipes, or you can select from a number of recipes available in the repository.


  • Recipes only need to be added once. After a recipe is added to an experiment, that recipe will then be available for all future experiments.

  • In most cases (especially for complex recipes), MOJOs won’t be available out of the box. But, it is possible to get the MOJO. Contact for more information about creating MOJOs for custom recipes. (Note that the Python Scoring Pipeline features full support for custom recipes.)

  • To enable Shapley calculations in MLI, custom model recipes must use the has_pred_contribs method. Refer to the model recipe template for more info.

Additional Resources