I'm trying to start using Bayes and sa-learn for the first time, now that Bayes supports SQL.
I run a smallish system (about 80 users spread over three domains). The basic setup is Exim -> SpamAssassin 3 -> Exim -> amavis -> Exim -> delivery. (That is -- SA and amavis are Exim router-transport pipes; neither knows of the other's existence.) Apart from me, none of my users have home directories; Exim uses SQL for all account information. Mail is stored in Maildir format in /mail/DOMAIN/USER. The majority of my users use Squirrelmail. I would like to enable some sort of false-negative/false-positive reporting for them, as I would imagine that the Bayes system is not very useful if it's getting uncorrected FN/FP data. However, every piece of documentation I've seen for sa-learn assumes (1) a unix account to correspond to the mailbox owner, and (2) that SQL is not being used for anything. Can someone point me in the right direction? I'd really like to take advantage of Bayes, but the documentation is so haphazard right now that I just don't know what to do. -- Daniel Drucker / [EMAIL PROTECTED]
