rules
Introduction
rules is a “parsnip-adjacent” package 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
You can install the released version of rules from CRAN with:
install.packages("rules")Install the development version from GitHub with:
# install.packages("devtools")
devtools::install_github("tidymodels/rules")Available Engines
The rules package provides engines for the models in the following table.
| model | engine | mode |
|---|---|---|
| C5_rules | C5.0 | classification |
| cubist_rules | Cubist | regression |
| rule_fit | xrf | classification |
| rule_fit | xrf | regression |
Contributing
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