BayesFusion Support Forum

Did you perhaps get any error messages? When validating, a dataset file needs to be open and a (learned) network. Next steps is matching the nodes in the network and the columns in the data file, this usually happens automatically (the finished result is in the center column, unmatched nodes and col...

Hi Pratibha,

What seems to be the problem?

Hi, GeNIe can actually do this as well. Try the following: 1. Select all the nodes 2. right click on a node 3. from the context menu select view as -> bar chart 4. From the Network menu select Update immediatly Now you'll see the distribution of all the nodes. If you double click on one of the state...

Hi Jonnie, Sorry for the long wait on this one. Tying up loose ends as much as possible. Answering in the same order as asked The issues: - I've added references in the documentation for the papers in the two wiki pages you have mentioned now have links to the papers - Good point, the name differenc...

Hi Mouhamad,

Could you give some more details on your network, i.e. number of (temporal) arcs.
Or perhaps PM or email me (genie@sis.pitt.edu) your network so I can have a look if I see similar results?

Best,

Martijn

Thales, I have tried it myself and have seen the same result. I can't say yet if this is by design or a bug, the person that is most familiar with this code is still on holiday. I have added a ticket to our internal bug tracking system and once I know more I'll report back here in this thread. Best,...

Hi Sutambe,

SMILE is not open source software.
I'll contact you over email to see if we can work out a way to compile it for your platform.

Best,

Martijn
(PhD Student, Decision Systems Lab)

Hi Thales,

I'm looking into the problem.
Just to double check, if you load the network in GeNIe, are the colors then as you expect?

Best,

Martijn

Hi Jonnie, I have updated the wiki so that the papers now have links. For the UAI related papers I have tried to use uai.sis.pitt.edu links as much as possible. Where possible I have added Workshop paper links for some of the missing UAI papers that were in the UAI books, which are not allowed to be...

Yes, that means that as long as I'm not sure about my evidence, the sampling helps me to verify. I don't quite understand what you mean by this. Why and how would sampling help you verify the evidence? Maybe you somehow relate the sampling to the evidence you provide, I don't think that's right. Ma...

Why are all the states of the nodes uniformly distributed? That surprises me a bit. You mention setting priors later for some node, why not just set these prior distributions in the nodes the network itself (as in setting the values in genie and saving the network)? So, you have 21 class nodes, whic...

Well, hard evidence means basically your are absolute sure. Let's say in a weather model you observe it's raining. There's no discusion and setting this evidence 'raining' in the node translates into giving it a probability distribution of 1.0 for 'raining' and 0 for any other option here In Genie y...

Ok. Can you summarize the whole procedure for both your code and Genie? Is it basically: 1. Set evidence for a number of nodes (for how many nodes, do you set soft evidence?, how many nodes do not receive any evidence?) 2. Run inference 3. Check probabilities (how do you check them in the code? how ...

The basic idea of sampling algorithms for BN inference is that you generate samples from the network, i.e. for every node you randomly pick a value depending on it's (conditional) probability distribution and any evidence set (hard or soft). So you do for a while and generate like 10000 samples. Fro...

Ok, I see.

So, just to make sure everything is completely clear, could you post the code segment as it is exactly?