- Name: python-simplebayes
- Version: 1.5.8
- Release: 10.mga10
- Epoch:
- Group: Development/Python
- License: MIT
- Url: https://github.com/hickeroar/simplebayes
- Summary: A memory-based, optional-persistence naïve bayesian text classifier
- Architecture: noarch
- Size: 9541
- Distribution: Mageia
- Vendor: Mageia.Org
- Packager: papoteur <papoteur>
Description:
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.
- BuildArch:
- ExcludeArch:
- ExclusiveArch:
- Cookie: localhost 1702570427
- Buildhost: localhost
