Learning Bayesian networks with OpenMarkov


The second chapter of the tutorial, available as a web page and in PDF, explains how to learn Bayesian networks with OpenMarkov's graphical user interface (GUI).

Example datasets

Here you can find a few datasets that are mentioned in the tutorial and can be used to learn networks with OpenMarkov.

Developer manual

Our wiki for developers explains how to implement a new learning algorithm or a new metric for the hill climbing algorithm.

Workshop paper