> On 10/20/05, Herb Martin <[EMAIL PROTECTED]> wrote: > > > CRM114 is not just a spam filter but rather a language for writing > > filters and classifiers that includes a spam filter as an > example (the > > primary example.) > > CRM114 looks like something I wanna look into... for the > moment there's nothing that can beat Reverend's ease of use:
Not to criticize the "Reverend" (after Reverend Bayes) as it looks promising, especially if you are already working in Python. Please do note that CRM114 has built-in classifiers for Bayesian and Markovian models, including OSBF. It is also designed to allow addition of new classifier algorythms, and already has a 'Hyperspatial' classifier as an example of such additions. -- Herb Martin > -----Original Message----- > From: Lorenzo Bolognini [mailto:[EMAIL PROTECTED] > Sent: Wednesday, October 19, 2005 10:00 PM > To: Herb Martin > Subject: Re: [Spambayes] Using SpamBayes to filter something > else than emails > > On 10/20/05, Herb Martin <[EMAIL PROTECTED]> wrote: > > > CRM114 is not just a spam filter but rather a language for writing > > filters and classifiers that includes a spam filter as an > example (the > > primary example.) > > CRM114 looks like something I wanna look into... for the > moment there's nothing that can beat Reverend's ease of use: > > C:\>python > Python 2.4.2 (#67, Sep 28 2005, 12:41:11) [MSC v.1310 32 bit > (Intel)] on win32 Type "help", "copyright", "credits" or > "license" for more information. > >>> from reverend.thomas import Bayes > >>> guesser = Bayes() > >>> guesser.train("car", "car engine carburator mph tyre") > >>> guesser.train("spam", "viagra pills sex pharmacy") > >>> guesser.guess("Car for sale, tyres and engine in very good > >>> conditions") > [('car', 0.99990000000000001)] > >>> guesser.guess("Buy some pills of viagra from our online pharmacy") > [('spam', 0.99990000000000001)] > >>> guesser.save() #this is to save the training we made, it > uses pickle > >>> > > Thanks, > Lorenzo > _______________________________________________ [email protected] http://mail.python.org/mailman/listinfo/spambayes Check the FAQ before asking: http://spambayes.sf.net/faq.html
