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:
categoryEncodings_1.5.0.tar.gz
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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')) |
Bug tracker:https://github.com/jszitas/categoryencodings/issues
categorical-variablesfeature-encodingfeature-engineering
Last updated 3 years agofrom:7744808680. Checks:OK: 1 ERROR: 6. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 23 2024 |
R-4.5-win | ERROR | Nov 23 2024 |
R-4.5-linux | ERROR | Nov 23 2024 |
R-4.4-win | ERROR | Nov 23 2024 |
R-4.4-mac | ERROR | Nov 23 2024 |
R-4.3-win | ERROR | Nov 23 2024 |
R-4.3-mac | ERROR | Nov 23 2024 |
Exports:encode_categoriesencode_deviationencode_differenceencode_dummyencode_helmertencode_lowrankencode_meanencode_medianencode_mnlencode_repeated_effectencode_simple_effectencode_spcaencoder
Dependencies:codetoolsdata.tableforeachglmnetiteratorslatticeMatrixRcppRcppEigenrsvdshapesparsepcasurvival
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Encode a given factor variable automatically | encode_categories |
Encode a given factor variable using deviation encoding | encode_deviation |
Encode a given factor variable using difference encoding | encode_difference |
Encode a given factor variable using dummy variables | encode_dummy |
Encode a given factor variable using helmert encoding | encode_helmert |
Encode a given factor variable using low rank encoding | encode_lowrank |
Encode a given factor variable using means encoding | encode_mean |
Encode a given factor variable using median encoding | encode_median |
Encode a given factor variable using a multinomial logit representation | encode_mnl |
Encode a given factor variable using a repeated effect encoding | encode_repeated_effect |
Encode a given factor variable using a simple effect encoding | encode_simple_effect |
Encode a given factor variable using a sparse PCA representation | encode_spca |
Train an encoder | encoder |