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
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categoryEncodings_1.5.0.tgz(r-4.4-any)categoryEncodings_1.5.0.tgz(r-4.3-any)
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categoryEncodings.pdf |categoryEncodings.html
categoryEncodings/json (API)

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

Peer review:

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

On CRAN:

categorical-variablesfeature-encodingfeature-engineering

3.18 score 3 stars 2 scripts 260 downloads 13 exports 13 dependencies

Last updated 3 years agofrom:7744808680. Checks:OK: 1 ERROR: 6. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 23 2024
R-4.5-winERRORNov 23 2024
R-4.5-linuxERRORNov 23 2024
R-4.4-winERRORNov 23 2024
R-4.4-macERRORNov 23 2024
R-4.3-winERRORNov 23 2024
R-4.3-macERRORNov 23 2024

Exports:encode_categoriesencode_deviationencode_differenceencode_dummyencode_helmertencode_lowrankencode_meanencode_medianencode_mnlencode_repeated_effectencode_simple_effectencode_spcaencoder

Dependencies:codetoolsdata.tableforeachglmnetiteratorslatticeMatrixRcppRcppEigenrsvdshapesparsepcasurvival