- Name: python3-simplebayes
- Version: 1.5.8
- Release: 9.mga9
- 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: 53668
- Distribution: Mageia
- Vendor: Mageia.Org
- Packager: umeabot <umeabot>
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.
- OptFlags: -O2 -g -pipe -Wformat -Werror=format-security -Wp,-D_FORTIFY_SOURCE=2 -fstack-protector --param=ssp-buffer-size=4 -fomit-frame-pointer -march=i686 -fasynchronous-unwind-tables
- Cookie: localhost 1648069510
- Buildhost: localhost
