PRONEL

Probabilistic Networks and Learning

The Pronel BN Learner is a tool for constructing Bayesian networks from data. With the Pronel BN Learner tool, you can load a database table and select the columns you want to represent variables/nodes in the Bayesian network. Then, you can perform a structural learning task that will give you a Bayesian network structure which may contain some uncertainty. Through some simple interactions with the user, the final Bayesian network structure is determined and the underlying probabilities can be learned. The result is a Bayesian network which can be used either directly in the Pronel BN Learner tool or exported to the more full-featured Hugin tool.