Source: simplebayes
Maintainer: Ryan Vennell <ryan.vennell@gmail.com>
Section: python
Priority: optional
Build-Depends: dh-python, python-setuptools (>= 0.6b3), python-all, python3-setuptools, python3-all, debhelper (>= 9)
Standards-Version: 3.9.1

Package: python-simplebayes
Architecture: all
Depends: ${misc:Depends}, ${python:Depends}
Description: A memory-based, naïve bayesian text classifier
 simplebayes
 ===========
 A memory-based, optional-persistence naïve 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]
 .
     I've elected to write this 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.

Package: python3-simplebayes
Architecture: all
Depends: ${misc:Depends}, ${python3:Depends}
Description: A memory-based, naïve bayesian text classifier
 simplebayes
 ===========
 A memory-based, optional-persistence naïve 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]
 .
     I've elected to write this 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.
