bonsai: Model Wrappers for Tree-Based Models

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. doi:10.1198/106186006X133933 ), and accelerated oblique random forests with 'aorsf' (Jaeger et al, 2022 doi:10.5281/zenodo.7116854 ).

See also

Useful links:

• https://bonsai.tidymodels.org/

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

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

Author

Maintainer: Simon Couch simon.couch@posit.co (ORCID)

Authors:

• Daniel Falbel dfalbel@curso-r.com

• Athos Damiani adamiani@curso-r.com

• Roel M. Hogervorst hogervorst.rm@gmail.com (ORCID)

• Max Kuhn max@posit.co (ORCID)

Other contributors:

• Posit Software, PBC [copyright holder, funder]