Package: bonsai 0.3.0.9000
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>).
Authors:
bonsai_0.3.0.9000.tar.gz
bonsai_0.3.0.9000.zip(r-4.5)bonsai_0.3.0.9000.zip(r-4.4)bonsai_0.3.0.9000.zip(r-4.3)
bonsai_0.3.0.9000.tgz(r-4.4-any)bonsai_0.3.0.9000.tgz(r-4.3-any)
bonsai_0.3.0.9000.tar.gz(r-4.5-noble)bonsai_0.3.0.9000.tar.gz(r-4.4-noble)
bonsai_0.3.0.9000.tgz(r-4.4-emscripten)bonsai_0.3.0.9000.tgz(r-4.3-emscripten)
bonsai.pdf |bonsai.html✨
bonsai/json (API)
NEWS
# Installbonsai in R: |
install.packages('bonsai',repos = c('https://tidymodels.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/tidymodels/bonsai/issues
Last updated 3 days agofrom:4b4cc7205f
Exports:%>%predict_lightgbm_classification_classpredict_lightgbm_classification_probpredict_lightgbm_classification_rawpredict_lightgbm_regression_numerictrain_lightgbm
Dependencies:clicodetoolscolorspacecpp11dialsDiceDesigndplyrfansifarvergenericsggplot2globalsgluegtablehardhatisobandlabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmeparsnippillarpkgconfigprettyunitspurrrR6RColorBrewerrlangscalessfdstringistringrtibbletidyrtidyselectutf8vctrsviridisLitewithr
Readme and manuals
Help Manual
Help page | Topics |
---|---|
bonsai: Model Wrappers for Tree-Based Models | bonsai-package bonsai |