Hi,
Just upgraded to 3.0.1 running under qmail on OpenBSD and am happy to report no problems. However, whilst I was doing this, I had a few ideas. I've had a shufty through the archives for these but I didn't find an appropriate answer. I have 3 questions:
1. I would like to setup a sitewide bayes database that all mailboxes will use. This saves having to make every user learn their own spam and should improve the overall accuracy of the system. Is this particularly difficult to setup with an SQL backend? What happens if the database is unavailable? What is the performance hit on the database in these situations? We see around 20000 messages a day on the server.
2. I would like to setup an automatic email address that people can send uncaught spam to, which will then be learnt as spam and put into the bayes database. Has anyone managed to do this? The problem I forsee is handling the forward as attachment or forward inline that different mail clients use. Presumably we would need to make people forward them as attachments, then have a procmail script that handles all mail accordingly.
3. I see entries such as:
autolearn=ham autolearn=spam autolearn=unavailable autolearn=none
In the mail logs. Is there a spam score threshold that triggers the autolearning behaviour? Is the default sensible? Should it be a little lower? I see high-scored spam not being learned as such and wonder if this ought to be tweaked a little.
Gaby
-- Ha! Ha! Ha! Dislocation... - Phil Ken Sebben
[EMAIL PROTECTED] http://vanhegan.net
