public static void Main() { modshogun.init_shogun_with_defaults(); double learn_rate = 1.0; int max_iter = 1000; double[,] traindata_real = Load.load_numbers("../data/fm_train_real.dat"); double[,] testdata_real = Load.load_numbers("../data/fm_test_real.dat"); double[] trainlab = Load.load_labels("../data/label_train_twoclass.dat"); RealFeatures feats_train = new RealFeatures(); feats_train.set_feature_matrix(traindata_real); RealFeatures feats_test = new RealFeatures(); feats_test.set_feature_matrix(testdata_real); BinaryLabels labels = new BinaryLabels(trainlab); AveragedPerceptron perceptron = new AveragedPerceptron(feats_train, labels); perceptron.set_learn_rate(learn_rate); perceptron.set_max_iter(max_iter); perceptron.train(); perceptron.set_features(feats_test); double[] out_labels = LabelsFactory.to_binary(perceptron.apply()).get_labels(); foreach (double item in out_labels) { Console.Write(item); } }
public static void Main() { modshogun.init_shogun_with_defaults(); double learn_rate = 1.0; int max_iter = 1000; double[,] traindata_real = Load.load_numbers("../data/fm_train_real.dat"); double[,] testdata_real = Load.load_numbers("../data/fm_test_real.dat"); double[] trainlab = Load.load_labels("../data/label_train_twoclass.dat"); RealFeatures feats_train = new RealFeatures(); feats_train.set_feature_matrix(traindata_real); RealFeatures feats_test = new RealFeatures(); feats_test.set_feature_matrix(testdata_real); BinaryLabels labels = new BinaryLabels(trainlab); AveragedPerceptron perceptron = new AveragedPerceptron(feats_train, labels); perceptron.set_learn_rate(learn_rate); perceptron.set_max_iter(max_iter); perceptron.train(); perceptron.set_features(feats_test); double[] out_labels = BinaryLabels.obtain_from_generic(perceptron.apply()).get_labels(); foreach(double item in out_labels) { Console.Write(item); } modshogun.exit_shogun(); }
public virtual Serializable run(IList para) { modshogun.init_shogun_with_defaults(); double learn_rate = (double)((double?)para[0]); int max_iter = (int)((int?)para[1]); DoubleMatrix traindata_real = Load.load_numbers("../data/fm_train_real.dat"); DoubleMatrix testdata_real = Load.load_numbers("../data/fm_test_real.dat"); DoubleMatrix trainlab = Load.load_labels("../data/label_train_twoclass.dat"); RealFeatures feats_train = new RealFeatures(); feats_train.set_feature_matrix(traindata_real); RealFeatures feats_test = new RealFeatures(); feats_test.set_feature_matrix(testdata_real); Labels labels = new Labels(trainlab); AveragedPerceptron perceptron = new AveragedPerceptron(feats_train, labels); perceptron.set_learn_rate(learn_rate); perceptron.set_max_iter(max_iter); perceptron.train(); perceptron.set_features(feats_test); DoubleMatrix out_labels = perceptron.apply().get_labels(); ArrayList result = new ArrayList(); result.Add(perceptron); result.Add(out_labels); modshogun.exit_shogun(); return result; }