search

jmschrei / pomegranate

Fast, flexible and easy to use probabilistic modelling in Python.
http://pomegranate.readthedocs.org/en/latest/
MIT License
3.38k stars 590 forks source link

Dynamic bayesian network to be fitted with hybrid variables(consist of discrete and continuous variable) #1101

Closed yfpeng1234 closed 4 months ago

yfpeng1234 commented 5 months ago

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)

jmschrei commented 5 months ago

Howdy

Currently, dynamic Bayesian networks are not supported and only categorical Bayesian networks are supported. Sorry for the inconvenience.

yfpeng1234 commented 5 months ago

Thanks so much for your prompt reply, Jacob. pomegranate is already a powerful library. But if you know any other library that support continuous and discrete variables simultaneously in DBN, please share some of them. Best regards

jmschrei commented 4 months ago

Unfortunately, I don't. Please let me know if you find one, though!