Package: rotationForest 0.1.3
rotationForest: Fit and Deploy Rotation Forest Models
Fit and deploy rotation forest models ("Rodriguez, J.J., Kuncheva, L.I., 2006. Rotation forest: A new classifier ensemble method. IEEE Trans. Pattern Anal. Mach. Intell. 28, 1619-1630 <doi:10.1109/TPAMI.2006.211>") for binary classification. Rotation forest is an ensemble method where each base classifier (tree) is fit on the principal components of the variables of random partitions of the feature set.
Authors:
rotationForest_0.1.3.tar.gz
rotationForest_0.1.3.zip(r-4.5)rotationForest_0.1.3.zip(r-4.4)rotationForest_0.1.3.zip(r-4.3)
rotationForest_0.1.3.tgz(r-4.4-any)rotationForest_0.1.3.tgz(r-4.3-any)
rotationForest_0.1.3.tar.gz(r-4.5-noble)rotationForest_0.1.3.tar.gz(r-4.4-noble)
rotationForest_0.1.3.tgz(r-4.4-emscripten)rotationForest_0.1.3.tgz(r-4.3-emscripten)
rotationForest.pdf |rotationForest.html✨
rotationForest/json (API)
NEWS
| # Install 'rotationForest' in R: |
| install.packages('rotationForest', repos = c('https://ballings.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 8 years agofrom:451c17f766. Checks:OK: 7. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 11 2024 |
| R-4.5-win | OK | Nov 11 2024 |
| R-4.5-linux | OK | Nov 11 2024 |
| R-4.4-win | OK | Nov 11 2024 |
| R-4.4-mac | OK | Nov 11 2024 |
| R-4.3-win | OK | Nov 11 2024 |
| R-4.3-mac | OK | Nov 11 2024 |
Exports:rotationForestrotationForestNews
Dependencies:rpart
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Predict method for rotationForest objects | predict.rotationForest |
| Binary classification with Rotation Forest (Rodriguez en Kuncheva, 2006) | rotationForest |
| Display the NEWS file | rotationForestNews |
