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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>).
Version: | 0.3.1 |
Depends: | R (≥ 4.0), parsnip (≥ 1.0.1) |
Imports: | cli, dials, dplyr, glue, purrr, rlang, stats, tibble, utils |
Suggests: | covr, knitr, lightgbm, aorsf (≥ 0.1.5), modeldata, partykit, rmarkdown, rsample, testthat (≥ 3.0.0), tune |
Published: | 2024-07-23 |
DOI: | 10.32614/CRAN.package.bonsai |
Author: | Daniel Falbel [aut],
Athos Damiani [aut],
Roel M. Hogervorst
|
Maintainer: | Simon Couch <simon.couch at posit.co> |
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 |
Reference manual: | bonsai.pdf |
Vignettes: |
Introduction to bonsai |
Package source: | bonsai_0.3.1.tar.gz |
Windows binaries: | r-devel: bonsai_0.3.1.zip, r-release: bonsai_0.3.1.zip, r-oldrel: bonsai_0.3.1.zip |
macOS binaries: | r-release (arm64): bonsai_0.3.1.tgz, r-oldrel (arm64): bonsai_0.3.1.tgz, r-release (x86_64): bonsai_0.3.1.tgz, r-oldrel (x86_64): bonsai_0.3.1.tgz |
Old sources: | bonsai archive |
Reverse suggests: | bundle, tidyAML |
Please use the canonical form https://CRAN.R-project.org/package=bonsai to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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