Package: categoryEncodings 1.5.0

categoryEncodings: Category Variable Encodings

Simple, fast, and automatic encodings for category data using a data.table backend. Most of the methods are an implementation of Johannemann, Hadad, Athey, Wager (2019) <arxiv:1908.09874>, particularly their 'means', "sPCA", "low-rank" and "multinomial logit".

Authors:Juraj Szitas [aut, cre]

categoryEncodings_1.5.0.tar.gz
categoryEncodings_1.5.0.zip(r-4.7)categoryEncodings_1.5.0.zip(r-4.6)categoryEncodings_1.5.0.zip(r-4.5)
categoryEncodings_1.5.0.tgz(r-4.6-any)categoryEncodings_1.5.0.tgz(r-4.5-any)
categoryEncodings_1.5.0.tar.gz(r-4.7-any)categoryEncodings_1.5.0.tar.gz(r-4.6-any)
categoryEncodings_1.5.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
categoryEncodings/json (API)

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

Bug tracker:https://github.com/jszitas/categoryencodings/issues

On CRAN:

Conda:

categorical-variablesfeature-encodingfeature-engineering

3.18 score 3 stars 2 scripts 183 downloads 13 exports 13 dependencies

Last updated from:7744808680. Checks:7 ERROR, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64ERROR135
source / vignettesOK169
linux-release-x86_64ERROR172
macos-release-arm64ERROR110
macos-oldrel-arm64ERROR126
windows-develERROR104
windows-releaseERROR82
windows-oldrelERROR90
wasm-releaseOK100

Exports:encode_categoriesencode_deviationencode_differenceencode_dummyencode_helmertencode_lowrankencode_meanencode_medianencode_mnlencode_repeated_effectencode_simple_effectencode_spcaencoder

Dependencies:codetoolsdata.tableforeachglmnetiteratorslatticeMatrixRcppRcppEigenrsvdshapesparsepcasurvival