BayesFusion Support Forum

Thank you for your kind help
As I mentioned in my previous post, in the final step of my project I have to determine the mean and stdDev of my output nodes. In according to your comments I
used the "GetSampleMean()" and "GetSampleStdDev()" functions in order to determine these values but it seems ...

As you mentioned earlier,Inference will produce samples in my network case,When I run the network in GENIE, i can get the mean and variance of each node which is my required parameters. but since my network is too big i can not get the the mean and variance of all of the nodes manually. Hence i need ...

thank you so much for your kind help

1:I have a conceptual question and i will be very thankful if you answer them ,I know in the Bayesian network all of the nodes have a CPT or CPD except from the root nodes ,In my previous question i defined a node as "node3=min(node2,node1)+normal(mu,sigma)" ,I ...

By ''smile code'' I mean creating a Bayesian Network which contains node definition, network creation, performing an exact or approximate inference and saving the sample values.
As you mentioned the inference procedure produces samples instead of the exact values. How can i define the number of ...

Thank you very much for your immediate answer.

I still have problems with my nodes and network in Smile. Due to some deadlines related to my project, I need to do an exact inference for my network as a part of my project as soon as possible. I have already attached the xdls file of the network to ...

hi
i am a beginning in SMILE and GENIE , my network is big and has about 2000 nodes. The input nodes are continuous with normal
distribution and the other nodes should be defined as an equation (for example, if node1 and node2 be the parents of node3, then
node3 will be defined as min(node2,node1 ...