BayesFusion Support Forum

Hi , I'm trying to enter data as evidence to a v-structure A->C<-B and allocate the corresponding probability value in node C's CPT. For example, if all my nodes are binary nodes, with two states T and F, with observation {T,F,T} for A, B and C. How can I allocate the specific probability value in C...

yes, I mean the node definition, conditional probability. I think this can be used to calculate the probability of evidence by chain rule.

hi, I have read my dataset into the ds object, i'm running structure learning below: cout << "\nstructure learning1..." << endl; DSL_greedyThickThinning gtt; DSL_network net2; if (gtt.Learn(ds, net2) != DSL_OKAY) { cout << "Cannot learn structure... exiting." << endl; exit(7); } ...

thanks for the answers.

Can I ask one more question? How to access each probability table associated with each node in the Network? I want to try to calculate the probability of evidence by chain rule but using a subset of all the probability tables.

many thanks

snowave

Hi, Can I ask how the probability of evidence is calculated in SMILE?
As far as I know, the pe is queried by summing over all possible states which mean the space is exponential. So How Smile does that?
thanks

Peng

Hi, I'm trying to calculate the joint distribution over a subset of the full joint distribution defined by the Bayesian net.
Is there an algorithm/method could do that using SMILE? thanks

Peng

Hi, I have been trying to set evidence to my model using my own data. I read all tutorials but I found no exact information on how to set evidence to each node in the model using data file. Can anyone help? Thanks What I need is the probability of evidence of each data record in my model. My code (i...