Description
Bayesian networks and other probabilistic graphical models can be edited, learned from data, and used for inference. It is useful for researchers, analysts, and students who model uncertainty and relationships between variables.
The software supports decision and computation workflows, but model quality depends on the data and assumptions provided by the user. Results should not be treated as automatic truth.