simplebayes 1.5.7-2 source package in Ubuntu

Changelog

simplebayes (1.5.7-2) unstable; urgency=medium

  * Acknowledge NMU. Thanks Holger Levsen
  * debian/control:
    + remove unicode characters for better reproductibility
    + bump Standards-Version to 4.5.1
      - Add Rules-Requires-Root: no to debian/control
      - Move deprecated metadata to copyright
    + Use debhelper-compat version instead of debhelper version
  * debian/tests: Add unittests as DEP-8 autopkgtest
  * debian/rules: cleanup remaining python2 refs
  * debian/source: remove options file
  * Add debian/salsa-ci.yml

 -- Thomas Perret <email address hidden>  Sat, 09 Jan 2021 19:49:04 +0100

Upload details

Uploaded by:
Thomas Perret
Uploaded to:
Sid
Original maintainer:
Thomas Perret
Architectures:
all
Section:
misc
Urgency:
Medium Urgency

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Builds

Hirsute: [FULLYBUILT] amd64

Downloads

File Size SHA-256 Checksum
simplebayes_1.5.7-2.dsc 2.1 KiB 65a967d1ddecedadb81b8733aa7fac22d58181ad0668e6ccf70a9d795a04904d
simplebayes_1.5.7.orig.tar.gz 18.8 KiB 71cb029768bd25c172bdb3bd37174d42f872da92c33329ec736c3748ffa3b4a7
simplebayes_1.5.7-2.debian.tar.xz 2.9 KiB 6eff2e16086fafb19dfe987bffc1f60b826251e7dfc31c8ab58161140c045e9d

Available diffs

No changes file available.

Binary packages built by this source

python-simplebayes-doc: 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.

python3-simplebayes: Naive bayesian text classifier for Python 3

 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 package installs the library for Python 3.