Package: python-simplebayes-doc
Source: simplebayes
Version: 3.2.0-1
Architecture: all
Maintainer: Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
Original-Maintainer: Thomas Perret <thomas.perret@phyx.fr>
Installed-Size: 265
Depends: libjs-jquery (>= 3.6.0), libjs-sphinxdoc (>= 8.2), sphinx-rtd-theme-common (>= 3.1.0+dfsg), libjs-underscore
Section: doc
Priority: optional
Homepage: https://github.com/hickeroar/simplebayes
Description: Naive bayesian text classifier - documentation
 A memory-based, optional-persistence naive bayesian text classifier.
 This work is heavily inspired by the Python "redisbayes" module found here:
 https://github.com/jart/redisbayes and https://pypi.python.org/pypi/redisbayes
 This was written to alleviate the network/time requirements when
 using the bayesian classifier to classify large sets of text, or when
 attempting to train with very large sets of sample data.
 .
 This is the common documentation package.
