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.

1.55 score 1 stars 16 scripts 2.2k downloads 2 exports 1 dependencies

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

TargetResultTimeFilesSyslog
linux-devel-x86_64OK201
source / vignettesOK191
linux-release-x86_64OK217
macos-release-arm64OK81
macos-oldrel-arm64OK76
windows-develOK52
windows-releaseOK64
windows-oldrelOK59
wasm-releaseOK103

Exports:rotationForestrotationForestNews

Dependencies:rpart