BayesianLearner learner = new BayesianLearner();
// you need to initialize the link between the learner and network
// this initialization will clear existing
// probability tables from the network and set up uniform Dirichlet priors
learner.initialize(network);
// System.out.println("CPTs Before Learning \n");
//
// for (BeliefNode node : nodes) {
// System.out.println(node.getName() + ":\n"