featurizer: Some Helper Functions that Help Create Features from Data

A collection of functions that would help one to build features based on external data. Very useful for Data Scientists in data to day work. Many functions create features using parallel computation. Since the nitty gritty of parallel computation is hidden under the hood, the user need not worry about creating clusters and shutting them down.

Version: 0.2
Depends: R (≥ 3.2.1), utils, parallel
Published: 2017-06-11
DOI: 10.32614/CRAN.package.featurizer
Author: Chhavi Choudhury [aut, cre]
Maintainer: Chhavi Choudhury <chhavi.choudhury at gmail.com>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
CRAN checks: featurizer results


Reference manual: featurizer.pdf


Package source: featurizer_0.2.tar.gz
Windows binaries: r-devel: featurizer_0.2.zip, r-release: featurizer_0.2.zip, r-oldrel: featurizer_0.2.zip
macOS binaries: r-release (arm64): featurizer_0.2.tgz, r-oldrel (arm64): featurizer_0.2.tgz, r-release (x86_64): featurizer_0.2.tgz, r-oldrel (x86_64): featurizer_0.2.tgz
Old sources: featurizer archive


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