[Spambayes] interacting with dbm

Luca Benassi benassi at labs.it
Thu Mar 8 14:22:09 CET 2007

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: spambayes-bounces at python.org [mailto:spambayes-bounces at python.org]
> On Behalf Of Luca Benassi
> Sent: Thursday, March 08, 2007 6:42 AM
> To: spambayes at python.org
> 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: benassi at labs.it
Systems & Networks Division

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