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:Michel Ballings and Dirk Van den Poel

rotationForest_0.1.3.tar.gz
rotationForest_0.1.3.zip(r-4.7-any)rotationForest_0.1.3.zip(r-4.6-any)rotationForest_0.1.3.zip(r-4.5-any)
rotationForest_0.1.3.tgz(r-4.6-any)rotationForest_0.1.3.tgz(r-4.5-any)
rotationForest_0.1.3.tar.gz(r-4.7-any)rotationForest_0.1.3.tar.gz(r-4.6-any)
rotationForest_0.1.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
rotationForest/json (API)

# Install 'rotationForest' in R:
install.packages('rotationForest', repos = c('https://ballings.r-universe.dev', 'https://cloud.r-project.org'))

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.47 score 1 stars 18 scripts 1.6k downloads 2 exports 1 dependencies

Last updated from:451c17f766. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK85
source / vignettesOK173
linux-releaseOK87
macos-releaseOK122
macos-oldrelOK148
windows-develOK62
windows-releaseOK59
windows-oldrelOK56
wasm-releaseOK74

Exports:rotationForestrotationForestNews

Dependencies:rpart