Fast Anti-Spam Filtering by Bayesian Statistical Analysis
Bogofilter is a Bayesian spam filter. In normal operation, it takes an
e-mail message or text from standard input, does a statistical check
against lists of "good" and "bad" words, and returns a status code
indicating whether the message is spam. Bogofilter is designed with
fast algorithms (including the Berkeley DB system), coded directly in
C, and tuned for speed, so it can be used for production by sites that
process a lot of mail.
- Developed at server:mail
- Sources inherited from project openSUSE:Factory
-
3
derived packages
- Download package
-
Checkout Package
osc -A https://api.opensuse.org checkout openSUSE:Leap:16.0:FactoryCandidates/bogofilter && cd $_
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Source Files
Filename | Size | Changed |
---|---|---|
bogofilter-1.2.1.tar.bz2 | 0000857088 837 KB | |
bogofilter-SA-2010-01.diff | 0000001141 1.11 KB | |
bogofilter.changes | 0000015845 15.5 KB | |
bogofilter.spec | 0000003318 3.24 KB |
Revision 14 (latest revision is 35)
Sascha Peilicke (saschpe)
accepted
request 83831
from
Stephan Kulow (coolo)
(revision 14)
- Remove redundant tags/sections from specfile - Use %_smp_mflags for parallel build (forwarded request 82907 from jengelh)
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