Jesse Pelton ha scritto: > As I understand it, the thing to do is to train on messages that contain > those words. That is, if you receive a message that contains those > words and SpamBayes classifies it as spam or possible spam, tell > SpamBayes that it's actually ham. Alternatively, you could probably > parse through the code to understand the database design and hack up > something to add some special tokens to the database. Heck, you could > change the code itself to give special treatment to your whitelist > tokens. The source is readily available. > > I don't recommend any of the above, though. If you somehow receive a > spam message with one of your whitelist words in it, the first approach > would require you to mislead SpamBayes about what you consider to be > spam, and the others seem very error-prone. > > Lots of people have tried to find ways to make SpamBayes smarter. As > near as I can tell, no one has found a way to make it consistently > perform better in a long time. Does it matter that it's dumb if it > gives good results?
thx for your reply ... you're right ;) however, what I'd like to try is to pre-train spambayes, before (or, *while*) installing to some clients. > -----Original Message----- > From: [EMAIL PROTECTED] [mailto:[EMAIL PROTECTED] > On Behalf Of Luca Benassi > Sent: Thursday, March 08, 2007 6:42 AM > To: [email protected] > Subject: [Spambayes] interacting with dbm > > I've serched a bit in doc, faq and old messagges but ... no luck :] > > This is my question: can I populate the dbm with my list of *safe* > (good) words? I'd like to, sort of, whitelist a group of words. > > Thx in advice, > Luca > -- Dr. Luca Benassi Laboratori Guglielmo Marconi Via Porrettana 123, 40037 Pontecchio Marconi (BO) - ITALY Phone:+39-0516781934 Fax:+39-051846479 e-mail: [EMAIL PROTECTED] Systems & Networks Division _______________________________________________ [email protected] http://mail.python.org/mailman/listinfo/spambayes Check the FAQ before asking: http://spambayes.sf.net/faq.html
