BayesFusion Support Forum

I have a network with some hidden variables, for which I successfully trained the parameters (and thanks again for the great support!). Now I want to calculate a set of posteriors and likelihoods for the hidden variables over some additional data set of similar variables. I can do this manual (set ...

shooltz wrote:

ninio wrote:Any news on the updated code?

Send me the private message.

thanks, looks like it works fine. Its great to see such support!

I had a set where this happened consistently, but I saved over the file. I will try to see if I can find a copy.

Thanks for all your help!

coming to think about it, the crashing may have happend on a slightly out of date version ( 2.0.3259.0 ) I have been using until recently. It may still be ...

I had a set where this happened consistently, but I saved over the file. I will try to see if I can find a copy.

Thanks for all your help!

is there a time frame for the next release? Is it possible to get a preview?

I'm currently stuck with my project, being unable to train my network.


As for the crashes - the software will crash when the input network has a node with distribution with a sum grater then one, and this network is sent ...

I have a good idea what I want, and randomizing will give my hidden variables some random meaning, which will probably not match what I want.

And while at the subject - in what units is the "Confidence" setting? I used 1 to get the results above.

I will mention that on my large network (a dozen ...

I updated to the latest version, and still get this.
In addition, I found that Genie has a problem when the network loaded from an xdsl file has a cpt with a total conditional distribution that's more then one. For example, on a binary variable, if I set the probs to 1 and 1e-5, and then train ...

i'm using 2.0.3259.0, and the program tends to crash after several iterations of training.

I'm trying to learn a network with several hidden variables and some missing data from real live data. When I remove the hidden variables and learn a Naive Bayes network, learning works fine. But when I try to learn with the hidden variables I get the following message
em: not all nodes are updated ...