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.) and conditional inference trees and conditional random forests with 'partykit' (Hothorn and Zeileis, 2015. and Hothorn et al, 2006. <doi:10.1198/106186006X133933>).

Version: 0.2.0
Depends: parsnip (≥ 1.0.1)
Imports: dials, dplyr, foreach, glue, purrr, rlang, stats, tibble, utils
Suggests: covr, knitr, lightgbm, modeldata, partykit, rmarkdown, rsample, testthat (≥ 3.0.0), tune
Published: 2022-08-31
Author: Daniel Falbel [aut], Athos Damiani [aut], Roel M. Hogervorst ORCID iD [aut], Max Kuhn ORCID iD [aut], Simon Couch ORCID iD [aut, cre], RStudio [cph, fnd]
Maintainer: Simon Couch <simonpatrickcouch at gmail.com>
BugReports: https://github.com/tidymodels/bonsai/issues
License: MIT + file LICENSE
URL: https://bonsai.tidymodels.org/, https://github.com/tidymodels/bonsai
NeedsCompilation: no
Materials: README NEWS
CRAN checks: bonsai results

Documentation:

Reference manual: bonsai.pdf
Vignettes: Introduction to bonsai

Downloads:

Package source: bonsai_0.2.0.tar.gz
Windows binaries: r-devel: bonsai_0.2.0.zip, r-release: bonsai_0.2.0.zip, r-oldrel: bonsai_0.2.0.zip
macOS binaries: r-release (arm64): bonsai_0.2.0.tgz, r-oldrel (arm64): bonsai_0.2.0.tgz, r-release (x86_64): bonsai_0.2.0.tgz, r-oldrel (x86_64): bonsai_0.2.0.tgz
Old sources: bonsai archive

Reverse dependencies:

Reverse suggests: bundle

Linking:

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