On Friday, November 08 2013, John Hardin wrote: > On Fri, 8 Nov 2013, Sergio Durigan Junior wrote: > >> #> spamc -c < spam.file >> 0.0/5.0 >> #> spamc -L spam < spam.file >> (successful message saying that the spam was learned) >> #> spamc -c < spam.file >> 0.0/5.0 >> >> I have already updated my Bayesian database, restarted the spamd >> service, etc. I was expecting that I'd get a high rate after feeding >> the spam to SpamAssassin, but that's not happening. Any suggestions? > > Try using sa-learn to train Bayes.
I don't think sa-learn can help with spamd. Its own manpage mention that, for spamd users, "spamc -L" is the way to go. > The big thing to keep in mind is that the user running the training > needs to be the same user that spamd is running as; if not, depending > on your bayes database config, you may be training a different Bayes > database than the one spamd is reading. Hm, really? I thought spamd kept a global Bayes database, and that everyone calling "spamc -L" would end up feeding this database, and not some local one. -- Sergio
