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CatEncoders: Encoders for Categorical Variables

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

Documentation:

Reference manual: CatEncoders.pdf

Downloads:

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 dependencies:

Reverse imports: dblr, DeepPINCS, GenProSeq, VAExprs

Linking:

Please use the canonical form https://CRAN.R-project.org/package=CatEncoders to link to this page.

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.
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