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Contains some commonly used categorical variable encoders, such as 'LabelEncoder' and 'OneHotEncoder'. Inspired by the encoders implemented in Python 'sklearn.preprocessing' package (see <http://scikit-learn.org/stable/modules/preprocessing.html>).
| Version: | 0.1.1 |
| Imports: | Matrix (≥ 1.2-6), data.table (≥ 1.9.6), methods |
| Published: | 2017-03-08 |
| DOI: | 10.32614/CRAN.package.CatEncoders |
| Author: | nl zhang |
| Maintainer: | nl zhang <setseed2016 at gmail.com> |
| License: | GPL-2 | GPL-3 |
| NeedsCompilation: | no |
| CRAN checks: | CatEncoders results |
| Reference manual: | CatEncoders.pdf |
| Package source: | CatEncoders_0.1.1.tar.gz |
| Windows binaries: | r-devel: CatEncoders_0.1.1.zip, r-release: CatEncoders_0.1.1.zip, r-oldrel: CatEncoders_0.1.1.zip |
| macOS binaries: | r-release (arm64): CatEncoders_0.1.1.tgz, r-oldrel (arm64): CatEncoders_0.1.1.tgz, r-release (x86_64): CatEncoders_0.1.1.tgz, r-oldrel (x86_64): CatEncoders_0.1.1.tgz |
| Old sources: | CatEncoders archive |
| Reverse imports: | dblr, DeepPINCS, GenProSeq, VAExprs |
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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.