Brief Context
Hello, I find your library an excellent tool for Bayesian network research.
I'm currently trying to work with hybrid Bayesian networks (Discrete and Gaussian CPDs). In your library I have identified this as the CLGNetworkType.
Request
The issue is that I can't find in the documentation how to access the parameters (probabilities) in the Conditional Probability Table (CPT) of a DiscreteFactor.
I have seen it is possible with continuous factors (e.g., beta, variance).
But I would like to know if it's possible with the discrete ones.
Thank you very much.
Brief Context
Hello, I find your library an excellent tool for Bayesian network research.
I'm currently trying to work with hybrid Bayesian networks (Discrete and Gaussian CPDs). In your library I have identified this as the CLGNetworkType.
Request
The issue is that I can't find in the documentation how to access the parameters (probabilities) in the Conditional Probability Table (CPT) of a DiscreteFactor.
I have seen it is possible with continuous factors (e.g., beta, variance).
But I would like to know if it's possible with the discrete ones.
Thank you very much.