public void searchStep(int i) {
double oldScore = network.logLikelihood() - scorer.graphScore(network);
GraphStep step = stepper.step(network.graph);
step.forward(network.graph);
network.learnCPDs();
double newScore = network.logLikelihood() - scorer.graphScore(network);
double ratio = Math.exp(newScore - oldScore);
// double ratio = newScore / oldScore;
boolean accepted = true;
if (ratio < 1.0) {
double p = rand.nextDouble();
if (walkBack && p <= 1.0 - ratio) {
step.reverse(network.graph);
network.learnCPDs();
// System.out.println("\tRejected.");
accepted = false;
}
}
if (accepted) {
System.out.println(String.format("Step %d: %s", i, step.toString()));
if (ratio < 1.0) {
System.out.println(String.format("\tRejection Ratio: %.4f", ratio));
}
}
}
