// Create a new SVM property predictor
SVMPropertyPredictor pred = new SVMPropertyPredictor();
// Train on the first 100 instances
pred.train(dataset, instances.subList(0, 100), labels.subList(0, 100), blackLists);
// Predict on the rest, note that we also need the blacklists here, since the labels already occur in the test set as well,
// because we do not use an unlabeled test set, which we would use in an application setting.
List<Value> predictions = pred.predict(dataset, instances.subList(100,instances.size()), blackLists);