On Tue, Jul 1, 2008 at 6:54 PM, stephanos <[EMAIL PROTECTED]> wrote: > > Hi, > > I am interested in using a bayesian network as a predictor (machine > learning); however, I can't get any of the implementations (deal, nblearn) > to learn & predict stuff. > Shouldn't there also be probabilites for each node after the learning phase, > how can I access these?
bnlearn does not yet implement any function to "learn & predict stuff"; in the near future I'm going to define and implement an interface to access the parameters. At the moment you have to compute the (conditional) probabilities by hand. Best Regards, Marco Scutari author and maintainer of bnlearn -- Marco Scutari Ph.D. Student, Department of Statictical Sciences University of Padova "Facts don't care if you feel good about them." Slashdot, 25/10/07 ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.