Am Fr, den 02.07.2004 schrieb Ow Mun Heng um 2:45: > Spamass-milter seems to work OK except that I it doesn't really _yet_ > know how to differentiate spam & Ham Save at least 200 SPAM and 200 HAM mails and then run manually sa-learn to initialize the bayes database. > This is what I have in /etc/mail/spamassassin/local.cf > > required_hits 5 > rewrite_subject 1 > subject_tag [N-SPAM] > report_safe 0 > use_bayes 1 > bayes_path /var/run/.spamassassin > > Note : I did not turn on additional stuffs. just the above. I'm hoping I > don't have to and get the Bayes filter to do it. > > (but somehow autolearn is off in the headers) > $ ps awux | grep spam > root spamass-milter -p /var/run/spamass.sock -f -r 15 -u defaultuser > spamd /usr/bin/spamd -d -c -a -m5 -u spamd -x > > Am I doing everything right here? Autolearning only happens up from specific SPAM values, which are defined in the default rule files. IIRC SPAM is only autolearned from 15 points and above. Alexander -- Alexander Dalloz | Enger, Germany | GPG key 1024D/ED695653 1999-07-13 Fedora GNU/Linux Core 2 (Tettnang) on Athlon CPU kernel 2.6.6-1.435.2.1 Serendipity 03:23:57 up 6:48, 8 users, 1.49, 0.69, 0.49
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