[ENH] Add a fit method to MarkovNetwork
The Maximum Likelihood Estimator (MLE) method can estimate the parameters of a Junction Tree (i.e. DiscreteFactor objects). Check if there is a way to utilize this to implement a DiscreteMarkovNetwork.fit method that learns the DiscreteFactors and adds them to the network. The behavior should be similar to Bayesian Network class methods such as DiscreteBayesianNetwork.fit or LinearGaussianBayesianNetwork.fit
Hello @ankurankan I would like to work on this issue. Could you please assign it to me
Thank you
Hey, I would like to know if the issue is still unresolved? I am new to opensource Can you assign it to me if possible?
@Aymuos22 Have assigned it to you. Let me know if you need any help with it.