On Donnerstag, 11. Mai 2006 08:06 Matt Kettler wrote: > > And tonights expiry for server #1: > > bayes: synced databases from journal in 11 seconds: 1968 unique > > entries (3059 total entries) > That's the journal sync, not the expiry part. The expiry part takes > much longer.
It comes from "sa-learn --force-expire --sync". How could I see when it expires something? Could it be because the ntokens are still not 2 mio., that I don't have an expire? On http://wiki.apache.org/spamassassin/BayesForceExpire is says you should stop SA before --force-expire, is that a must or a recommendation? The man page doesn't ask for it. > >> score used is the score the message would have got if: > >> bayes was disabled > >> the AWL was disabled > >> no userconf (ie:black/whitelists) rules were enabled. > > > > Thats good info which should be in the man page. > > It is.. In SA 3.1.x it's in the docs for the autolearn threshold > plugin: > > http://spamassassin.apache.org/full/3.1.x/dist/doc/Mail_SpamAssassin_ >Plugin_AutoLearnThreshold.html Not really. No mentioning that bayes/awl/userconf are not counted. > I looked into the code for SA 3.1.0's PerMsgStatus.pm and > Plugin/AutoLearnThreshold.pm. > > The limitation is actually done by computing score of the bayes > rules, not the actual bayes percentage. > > Learning as ham will be inhibited if the score of the "learn" rules > (ie: bayes) totals more than +1.0. > Learning as spam will be inhibited if e score of the "learn" rules > (ie: bayes) totals less than -1.0. > > Note: by "learn" rules, I mean rules declared with the "learn" tflag, > which at this time is just bayes. > > So in SA 3.1.0, existing training ranking BAYES_00 and BAYES_05 will > inhibit spam learning. > BAYES_60 or higher will inhibit ham learning. This is very good info and would be nice documenting in man/wiki. I could update the wiki, but I don't believe I'm qualified enough. For example, the man page says: * Also note that auto-learning occurs using scores from either scoreset * 0 or 1 But who except the devs knows what's scoreset 0 or 1? For people with several MXs this is good info also: http://wiki.apache.org/spamassassin/BayesBitMe It explains why 2nd MX often generate FPs. mfg zmi -- // Michael Monnerie, Ing.BSc ----- http://it-management.at // Tel: 0660/4156531 .network.your.ideas. // PGP Key: "lynx -source http://zmi.at/zmi3.asc | gpg --import" // Fingerprint: 44A3 C1EC B71E C71A B4C2 9AA6 C818 847C 55CB A4EE // Keyserver: www.keyserver.net Key-ID: 0x55CBA4EE
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