R help - Jul 2008 - Prediction with Bayesian Network?

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?

Cheers,
Stephan
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On Tue, Jul 1, 2008 at 6:54 PM, stephanos <exe2 at gmx.net>
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

Hi Marco,

I am wondering if there are any developments on this front? Is this
learn-and-predict workflow now possible?


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