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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Source Files
Filename | Size | Changed |
---|---|---|
bogofilter-1.2.4.tar.bz2 | 0000887848 867 KB | |
bogofilter.changes | 0000020318 19.8 KB | |
bogofilter.spec | 0000013314 13 KB |
Revision 26 (latest revision is 35)
Dominique Leuenberger (dimstar_suse)
accepted
request 304968
from
Lars Müller (lmuelle)
(revision 26)
The split of the actual back-ends and usage of the alternatives mechanism make it possible to have several back-ends installed on the same host. By the db backend has the highest priority. By this we ensure to stay compatible while upgrading. Only Tumbleweed users which used bogofilter after Apr 5th have to pay some extra attention as their database might be sqlite3 driven. If that's the case either: a) zypper in -bogofilter-db bogofilter-sqlite3 or b) switch the alternative to bogofilter-sqlite3 Thanks Martin for the alternatives implementation! - Provide and obsolete bogofilter from the db subpackage to ensure we stay with the same back-end in the update case. - Require a backend package from the common package. - Split of the documentation into an independent package. - Tag the common and doc package as noarch post-11.1. - Build different backends * sqlite3 db and tokyocabinet * switch between them using update-alternatives - Disable checks as they do not work with suffixed builds
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