Package: Rborist 0.3-7
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_0.3-7.tar.gz
Rborist_0.3-7.tar.gz(r-4.5-noble)Rborist_0.3-7.tar.gz(r-4.4-noble)
Rborist_0.3-7.tgz(r-4.4-emscripten)Rborist_0.3-7.tgz(r-4.3-emscripten)
Rborist.pdf |Rborist.html✨
Rborist/json (API)
NEWS
| # 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 9 months agofrom:b7e078fe85. Checks:OK: 2. Indexed: no.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Oct 12 2024 |
| R-4.5-linux-x86_64 | OK | Oct 12 2024 |
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 |
| 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 |
