bonsai-package: bonsai: Model Wrappers for Tree-Based Models

In bonsai: Model Wrappers for Tree-Based Models

bonsai: Model Wrappers for Tree-Based Models

Description

Bindings for additional tree-based model engines for use with the 'parsnip' package. Models include gradient boosted decision trees with 'LightGBM' (Ke et al, 2017.), conditional inference trees and conditional random forests with 'partykit' (Hothorn and Zeileis, 2015. and Hothorn et al, 2006. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.1198/106186006X133933")}), and accelerated oblique random forests with 'aorsf' (Jaeger et al, 2022 \Sexpr[results=rd]{tools:::Rd_expr_doi("10.5281/zenodo.7116854")}).

Author(s)

Maintainer: Simon Couch [e-mail] (ORCID)

Authors:

• Daniel Falbel [e-mail]

• Athos Damiani [e-mail]

• Roel M. Hogervorst [e-mail] (ORCID)

• Max Kuhn [e-mail] (ORCID)

Other contributors:

• Posit Software, PBC [copyright holder, funder]

See Also

Useful links:

• https://bonsai.tidymodels.org/

• https://github.com/tidymodels/bonsai

• Report bugs at https://github.com/tidymodels/bonsai/issues

bonsai documentation built on April 3, 2025, 9:32 p.m.