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
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osc -A https://api.opensuse.org checkout openSUSE:42:Factory-Candidates-Check/bogofilter && cd $_
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Source Files
Filename | Size | Changed |
---|---|---|
bogofilter-1.2.4.tar.bz2 | 0000887848 867 KB | |
bogofilter.changes | 0000019629 19.2 KB | |
bogofilter.spec | 0000003460 3.38 KB |
Revision 25 (latest revision is 35)
Dominique Leuenberger (dimstar_suse)
accepted
request 294650
from
Lars Müller (lmuelle)
(revision 25)
- Update dependencies * use shared gsl - Cleanup spec-file with spec-cleaner - Change backend from libdb to sqlite3 for post-13.2 systems
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