rules is a “parsnip-adjacent” packages with model definitions for different rule-based models, including:

• cubist models that have discrete rule sets that contain linear models with an ensemble method similar to boosting
• classification rules where a ruleset is derived from an initial tree fit
• rule-fit models that begin with rules extracted from a tree ensemble which are then added to a regularized linear or logistic regression.

## Installation

Th package is not yet on CRAN and can be installed via:

# install.packages("devtools")
devtools::install_github("tidymodels/rules")

## Code of Conduct

Please note that the rules project is released with a Contributor Code of Conduct. By contributing to this project, you agree to abide by its terms.