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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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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.