Course 2C: Customizing Driverless AI with Recipes

Learning Outcomes:

By the end of this training, the attendee will be able to

  • Locate resources for recipes
  • Create a simple data recipe live in Driverless AI
  • Install a recipe into Driverless AI from a URL
  • Download, edit, and install a recipe into Driverless AI via upload
  • Select individual or groups of recipes for transformers, models, and scorers in Expert Settings
  • Create a model using recipes

Prerequisites

This course assumes 

  • Completion of “Introduction to Driverless AI” or equivalent experience.
  • Familiarity with statistical or machine learning modeling.
  • Some basic Python programming experience.

Are you interested in this course? If so, we will email you once this course is available.


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