BayesFusion Support Forum

Thank you so much, Marek! This helps a lot.

Thank you so much!

I have tried but still could not fix the issues. I have attached a dataset, a network file, and the output (including log-likelihood value) I pulled out for two datasets. From the output, it is obvious that the order of p (state =0) and p(state=1) flip between different nodes and EM runs with differ...

It's helpful to get your confirmation that the parameters are not updated. This seems to show me where I should go to find the problem. I will try myself first to see if it can be fixed...

Many thanks!

Using SetUniformParameters (true), all estimated parameters with regard to nodes A, B, C and D are .50.

It seems they are not updated by EM.

Also, in the code posted above, I remove that part below staticEM (). I think the problem should be in the EM part.

Thanks, again!

Thanks! Here is my code. My data was saved in C:\\Users\\b445h711\\Desktop\\c500\\data_l500.csv. It contains 10000 rows and 14850 columns, representing 495 datasets. In each dataset, there are 10000 rows (observations) and 30 columns representing 30 binary variables (1 = true,0=false). In the networ...

Thank you so much for the reply. Could you give me any suggestions or hints to fix this problem with my code? I just want to make sure all parameters have a fixed position in the matrix/CP table so that I can know which is which when I extract them. And these positions will not change between runs w...

Hello, I am doing a simulation study, in which I use static EM to estimate the parameters of a BN. I assume that in SMILE the CPs are saved into a matrix based on the rule introduced in the manual and following the same rule, I extract CPs using the codes as follows. However, I noticed that there se...

Thank you very much!

So, at this point, the maximum number of iteration cannot be re-set either, right?

Hello,

Does DSL provide any functions to set or change the maximum iterations and criterion for convergence in parameter learning using static EM? And what is the default setting for the maximum iteration in static EM?

Thank you,
Bo

Thank you so much! After fixing the random seed, everything looks good.

Hello, I generated a couple of data samples using a certain Bayesian network structure and settings for conditional probabilities. Then, with each sample of data, I performed parameter learning and extracted all estimated conditional probabilities. Using the code I attached, I noticed that the order...

Yes, the order of conditional probabilities is changing between EM runs. Because I do not get the rule by which these probabilities are presented in the outcome, it's hard to tell which is which. Here is the code I used to create the network. There are 30 observed variables, x1.............x30, whic...

Hello, I encountered some troubles when I tried to extract the conditional probability. 1) I got a linear 4-node structure, where B is conditional on A, C is conditional on B, and D is conditional on C. However, when I checked the conditional probability matrix for node, there are 4 elements (there ...