Learn R Programming

bonsai

bonsai provides bindings for additional tree-based model engines for use with the parsnip package.

This package is based off of the work done in the treesnip repository by Athos Damiani, Daniel Falbel, and Roel Hogervorst. bonsai is the official CRAN version of the package; new development will reside here.

Installation

You can install the most recent official release of bonsai with:

install.packages("bonsai")

You can install the development version of bonsai from GitHub with:

# install.packages("pak")
pak::pak("tidymodels/bonsai")

Available Engines

The bonsai package provides additional engines for the models in the following table:

modelenginemode
boost_treelightgbmregression
boost_treelightgbmclassification
boost_treecatboostregression
boost_treecatboostclassification
decision_treepartykitregression
decision_treepartykitclassification
rand_forestpartykitregression
rand_forestpartykitclassification
rand_forestaorsfclassification
rand_forestaorsfregression

Note that the catboost engine package isn’t available on CRAN, and should thus be installed according to their documentation.

Code of Conduct

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

Copy Link

Version

Install

install.packages('bonsai')

Monthly Downloads

1,341

Version

0.4.0

License

MIT + file LICENSE

Issues

Pull Requests

Stars

Forks

Maintainer

Emil Hvitfeldt

Last Published

June 25th, 2025

Functions in bonsai (0.4.0)

bonsai-package

bonsai: Model Wrappers for Tree-Based Models
predict_lightgbm_classification_prob

Internal functions
train_catboost

Boosted trees with catboost
predict_catboost_regression_numeric

Internal functions
train_lightgbm

Boosted trees with lightgbm
reexports

Objects exported from other packages