Introduction | High performance | Training and validation | Simple example | Validation | Regression | Classification | Quantile prediction | Tree and forest size | Sampling options | Other training options | Preformatting | Performance
This package is hidden from search results because it is not hosted in the universe of the upstream owner
cran. To fix this you can add URL: https://cran.r-universe.dev/Rborist to the package DESCRIPTION file. See also theR-universe documentation.Package: Rborist 0.3-11
Mark Seligman
Rborist: Extensible, Parallelizable Implementation of the Random Forest Algorithm
Scalable implementation of classification and regression forests, as described by Breiman (2001), <doi:10.1023/A:1010933404324>.
Authors:
Rborist_0.3-11.tar.gz
Rborist_0.3-11.tar.gz(r-4.7-arm64)Rborist_0.3-11.tar.gz(r-4.7-x86_64)Rborist_0.3-11.tar.gz(r-4.6-arm64)Rborist_0.3-11.tar.gz(r-4.6-x86_64)
Rborist_0.3-11.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
Rborist/json (API)
| # Install 'Rborist' in R: |
| install.packages('Rborist', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/suiji/arborist/issues
Last updated from:cc3740623f. Checks:6 OK. Indexed: no.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-arm64 | OK | 204 | ||
| linux-devel-x86_64 | OK | 189 | ||
| source / vignettes | OK | 341 | ||
| linux-release-arm64 | OK | 208 | ||
| linux-release-x86_64 | OK | 191 | ||
| wasm-release | OK | 403 |
Exports:expandfeExportforestWeightpreformatpresampleRboristRboristNewsrfArbrfTrainStreamlinevalidate
Dependencies:data.tabledigestRcpp
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Expands forest values into front-end readable vectors. | expandfe expandfe.default |
| Exportation Format for rfArb Training Output | Export Export.default |
| Meinshausen forest weights | forestWeight forestWeight.default |
| predict method for arbTrain result | predict.arbTrain |
| predict method for rfArb result | predict.rfArb |
| Preformatting for Training with Warm Starts | preformat preformat.default |
| Forest-wide Observation Sampling | presample presample.default |
| Rapid Decision Tree Construction and Evaluation | Rborist Rborist.default |
| NEWS Displayer for Rborist | RboristNews |
| Rapid Decision Tree Construction and Evaluation | rfArb rfArb.default |
| Rapid Decision Tree Training | rfTrain rfTrain.default |
| Reducing Memory Footprint of Trained Decision Forest | Streamline Streamline.rfArb |
| Separate Validation of Trained Decision Forest | validate validate.default |
