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Dynamic bayesian network to be fitted with hybrid variables(consist of discrete and continuous variable)
Hi, I hope to use a time series data to fit a dynamic bayesian network. But after looking up the docs, I didn't find dynamic bayesian network class. I'm wondering is there any easy method to extent the bayesian network to dynamic bayesian network. By the way, do pomegranate support structure and parameter learning of hybrid variables(consist of discrete and continuous variable)