Simon Byrnand writes: > What I was starting to think about, is maybe there could be a different > weighting for auto-learning as compared to manual learning ? > > EG, the ability to give manual learning a lot stronger weight. > > I'm not sure how you'd go about that exactly, but maybe a --weight option > could be added on sa-learn which basically multiplies the added token count > of each token by a factor of up to say 10, for each token, which would give > manually learnt ham/spam comparitively more effect than auto-learnt stuff. > (Which would always have a factor of 1)
hmmm... that would work, actually... just make each manual learn op count as if N messages were learnt. --j. ------------------------------------------------------- This SF.net email is sponsored by: VM Ware With VMware you can run multiple operating systems on a single machine. WITHOUT REBOOTING! Mix Linux / Windows / Novell virtual machines at the same time. Free trial click here: http://www.vmware.com/wl/offer/345/0 _______________________________________________ Spamassassin-talk mailing list [EMAIL PROTECTED] https://lists.sourceforge.net/lists/listinfo/spamassassin-talk
