The bayesian filter seems super-delicate. If I run sa-learn on a mailbox with more than about 200 messages in it, it gets killed, I'm not sure why:
$ sa-learn --spam --dir Maildir/.spam/cur/ Killed $ If sa-learn gets killed in the middle, it leaves a database that it thinks is empty. Before a killed process: debug: bayes: found bayes db version 3 debug: bayes corpus size: nspam = 592, nham = 562 After a killed process: debug: bayes: found bayes db version 3 debug: bayes: Not available for scanning, only 0 spam(s) in Bayes DB < 200 rescanning doesn't do any good, because sa-learn still knows about the messages it's already looked at. I have to start training all over by deleting bayes_seen and bayes_toks. Furthermore, this kills my bayesian filter and Spamassassin lets through about 75% of my incoming spam without it. I've got thousands of spams and hams ready to feed to sa-learn, but having to feed them 100 at a time is cumbersome and starting over again a dozen times in the last few days Other than backing up my .spamassassin directory before I run sa-learn each time, are there any suggestions? I'm running 3.0.3, but it's a hosted box so upgrading isn't my call. Thanks, Steve -- Steven M. Scotten <[EMAIL PROTECTED]> The future will blow your mind
