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
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
- diff from 1.5.7-1.1 to 1.5.7-2 (1.9 KiB)
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.