Articles • recipes

Introduction to recipes: Start here if this is your first time using recipes! You will learn about basic usage, steps, selectors, and checks.

Handling categorical predictors: This vignette describes different methods for encoding categorical predictors, with special attention to interaction terms and contrasts.
Selecting variables: You can select which variables or features should be used in recipes. This vignette goes over the basics of using selection functions.
Roles in recipes: In recipes, roles provide a way to select variables for different steps.
On skipping steps: In recipes, steps are usually applied to both the training and testing sets. However, in some situations we only want to only apply a step to the training data and we want to skip that step on testing data.

Ordering of steps: The order in which recipe steps are specified matters, and this vignette gives some general suggestions that you should consider.