Hi Matthias, >> 0.000 0 2 0 non-token data: bayes db >> 0.000 0 81 0 non-token data: nspam >> 0.000 0 355 0 non-token data: nham > > spamd/spamassassin starts using bayes if you have 200 ham and 200 spam, > this isnt yet fullfilled. so collect some more spam first.
Thanks for your reply. My concern is more that I fed 20 odd spams to bayes via sa-learn, yet the nspam value did not increase by this at all (81 before and after). Should it have increased as I have assumed? Also, as my spam volume is low (ISP uses SA, plus it is my home network) am I right in assuming that sa-learn should feed the bayes db (say 20-30 at a time), and then once 200 is hit, bayes will then be used? Or put another way, do I need to feed the bayes db a minimum of 200 in one hit from the get go (as opposed to being drip fed)? -- Regards, Roland
