> My fault. Yes, if you want to do incremental training with sb_mboxtrain, > then leave off the -f flag. The fact that you are training once a day threw > me though. If incremental training is what you want to do, why not run > sb_mboxtrain more frequently than daily?
I just trained manually and realize that it says trained 190 out of 190 messages even though there are only ~20 new messages since the last training. Is the output wrong? My problem with running it at all is misclassification. How do I get it to fix the ones that are misclassified? > > Dhaval> Now that I think about it, the best thing would be to do the > Dhaval> following: > > Dhaval> 1. message comes in to the filter > Dhaval> 2. filter sorts it as ham or spam > Dhaval> 3. db is trained with this message ham or spam (just this one > Dhaval> message) when the user sorts messages (put spam from inbox -> > Dhaval> spam folder) > Dhaval> 4. the changes to the db made in step 3 get undone and the > Dhaval> message gets trained as spam (similarly if the user moved > Dhaval> form spam folder -> inbox) > > Dhaval> Can spambayes do this? Can I specify just a message id or a list > Dhaval> of message ids? ( I use maildir format mail storage) > > I'm not sure. Again, that's not the way I work. Nothing is ever trained > automatically in my personal environment. If I see a message that is > misclassified (either false negative, unsure or false positive) then I toss > it into the appropriate training database. I never train on a message which > was properly classified. According to your last sentence, when I leave out the -f, I would also not train the message that was properly classified right? Or maybe not. How would/should incermental training be handled if the previous training occured with misclassifications? > > Note also that I have the luxury of having a user population of one person. > Sounds like you aren't so fortunate. My users are pretty good though. They dont have annoying questions or problems. :) Thanks, Dhaval -- _______________________________________________ [email protected] http://mail.python.org/mailman/listinfo/spambayes Check the FAQ before asking: http://spambayes.sf.net/faq.html
