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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: |
0.2.1 |
| Depends: |
parsnip (≥ 1.0.1) |
| Imports: |
cli, dials, dplyr, glue, purrr, rlang, stats, tibble, utils |
| Suggests: |
covr, knitr, lightgbm, modeldata, partykit, rmarkdown, rsample, testthat (≥ 3.0.0), tune |
| Published: |
2022-11-29 |
| Author: |
Daniel Falbel [aut],
Athos Damiani [aut],
Roel M. Hogervorst
 [aut],
Max Kuhn [aut],
Simon Couch [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:
Downloads:
Reverse dependencies:
Linking:
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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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