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 https://github.com/h2oai/driverlessai-recipes/tree/rel-1.8.10 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 firstname.lastname@example.org 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_contribsmethod. Refer to the model recipe template for more info.
Custom Recipes FAQ: For answers to common questions about custom recipes.
How to Write a Recipe: A guide for writing your own recipes.
Data Template: A template for creating your own Data recipe.
Model Template: A template for creating your own Model recipe.
Scorer Template: A template for creating your own Scorer recipe.
Transformer Template: A template for creating your own Transformer recipe.