Python package for Causal Discovery by learning the graphical structure of Bayesian networks. Structure Learning, Parameter Learning, Inferences, Sampling methods.
Hi!
I know the R version of bnlearn has an option of setting the CS prior so that you are able to set specific weights for the prior edges that are considered during the score structure learning.
I could not find anywhere if there is something similar on this python version. Is it possible to set a specific prior on the python version of bnlearn?
Thanks in advance
Hi! I know the R version of bnlearn has an option of setting the CS prior so that you are able to set specific weights for the prior edges that are considered during the score structure learning. I could not find anywhere if there is something similar on this python version. Is it possible to set a specific prior on the python version of bnlearn? Thanks in advance