@Test public void test() throws Exception { CustomKalmanFilter.main(null); }
public static void main(String[] args) throws IOException, ExceptionHugin { String filename = "datasets/simulated/cajamar.arff"; DataStream<DynamicDataInstance> data = DynamicDataStreamLoader.loadFromFile(filename); DynamicModel model = new CustomKalmanFilter(data.getAttributes()); model.updateModel(data); DynamicBayesianNetwork dbn = model.getModel(); System.out.println(dbn); }
CustomKalmanFilter extends DynamicModel { public static void main(String[] args) throws IOException, ExceptionHugin { String filename = "datasets/simulated/cajamar.arff"; DataStream<DynamicDataInstance> data = DynamicDataStreamLoader.loadFromFile(filename); DynamicModel model = new CustomKalmanFilter(data.getAttributes()); model.updateModel(data); DynamicBayesianNetwork dbn = model.getModel(); System.out.println(dbn); } }
CustomKalmanFilter extends DynamicModel { public static void main(String[] args) throws IOException, ExceptionHugin { String filename = "datasets/simulated/cajamar.arff"; DataStream<DynamicDataInstance> data = DynamicDataStreamLoader.loadFromFile(filename); DynamicModel model = new CustomKalmanFilter(data.getAttributes()); model.updateModel(data); DynamicBayesianNetwork dbn = model.getModel(); System.out.println(dbn); } CustomKalmanFilter(Attributes attributes); }
CustomKalmanFilter extends DynamicModel { public static void main(String[] args) throws IOException, ExceptionHugin { String filename = "datasets/simulated/cajamar.arff"; DataStream<DynamicDataInstance> data = DynamicDataStreamLoader.loadFromFile(filename); DynamicModel model = new CustomKalmanFilter(data.getAttributes()); model.updateModel(data); DynamicBayesianNetwork dbn = model.getModel(); System.out.println(dbn); } CustomKalmanFilter(Attributes attributes); static void main(String[] args); }
CustomKalmanFilter extends DynamicModel { public static void main(String[] args) throws IOException, ExceptionHugin { String filename = "datasets/simulated/cajamar.arff"; DataStream<DynamicDataInstance> data = DynamicDataStreamLoader.loadFromFile(filename); DynamicModel model = new CustomKalmanFilter(data.getAttributes()); model.updateModel(data); DynamicBayesianNetwork dbn = model.getModel(); System.out.println(dbn); } CustomKalmanFilter(Attributes attributes); static void main(String[] args);  }