fastrtext: 'fastText' Wrapper for Text Classification and Word Representation

Learning text representations and text classifiers may rely on the same simple and efficient approach. 'fastText' is an open-source, free, lightweight library that allows users to perform both tasks. It transforms text into continuous vectors that can later be used on many language related task. It works on standard, generic hardware (no 'GPU' required). It also includes model size reduction feature. 'fastText' original source code is available at <https://github.com/facebookresearch/fastText>.

Version: 0.2.4
Depends: R (≥ 3.3)
Imports: methods, Rcpp (≥ 0.12.12), assertthat
LinkingTo: Rcpp, RcppThread (≥ 0.1.2)
Suggests: knitr, testthat
Published: 2017-12-09
Author: Michaël Benesty [aut, cre, cph], Facebook, Inc [cph]
Maintainer: Michaël Benesty <michael at benesty.fr>
BugReports: https://github.com/pommedeterresautee/fastrtext/issues
License: MIT + file LICENSE
URL: https://github.com/pommedeterresautee/fastrtext, https://pommedeterresautee.github.io/fastrtext/
NeedsCompilation: yes
Materials: NEWS
CRAN checks: fastrtext results

Downloads:

Reference manual: fastrtext.pdf
Vignettes: List of commands
Supervised learning
Unsupervised learning
Package source: fastrtext_0.2.4.tar.gz
Windows binaries: r-devel: fastrtext_0.2.4.zip, r-release: fastrtext_0.2.4.zip, r-oldrel: fastrtext_0.2.3.zip
OS X El Capitan binaries: r-release: fastrtext_0.2.4.tgz
OS X Mavericks binaries: r-oldrel: fastrtext_0.2.4.tgz
Old sources: fastrtext archive

Reverse dependencies:

Reverse suggests: projector

Linking:

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