public static void Main() { modshogun.init_shogun_with_defaults(); double width = 2.1; double epsilon = 1e-5; double C = 1.0; double[,] traindata_real = Load.load_numbers("../data/fm_train_real.dat"); double[,] testdata_real = Load.load_numbers("../data/fm_test_real.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); GaussianKernel kernel = new GaussianKernel(feats_train, feats_train, width); LibSVMOneClass svm = new LibSVMOneClass(C, kernel); svm.set_epsilon(epsilon); svm.train(); kernel.init(feats_train, feats_test); double[] out_labels = BinaryLabels.obtain_from_generic(svm.apply()).get_labels(); foreach (double item in out_labels) { Console.Write(item); } modshogun.exit_shogun(); }
static void Main(string[] argv) { modshogun.init_shogun_with_defaults(); double width = 2.1; double epsilon = 1e-5; double C = 1.0; DoubleMatrix traindata_real = Load.load_numbers("../data/fm_train_real.dat"); DoubleMatrix testdata_real = Load.load_numbers("../data/fm_test_real.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); GaussianKernel kernel = new GaussianKernel(feats_train, feats_train, width); LibSVMOneClass svm = new LibSVMOneClass(C, kernel); svm.set_epsilon(epsilon); svm.train(); kernel.init(feats_train, feats_test); DoubleMatrix out_labels = svm.apply().get_labels(); Console.WriteLine(out_labels.ToString()); modshogun.exit_shogun(); }
public static void Main() { modshogun.init_shogun_with_defaults(); double width = 2.1; double epsilon = 1e-5; double C = 1.0; double[,] traindata_real = Load.load_numbers("../data/fm_train_real.dat"); double[,] testdata_real = Load.load_numbers("../data/fm_test_real.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); GaussianKernel kernel = new GaussianKernel(feats_train, feats_train, width); LibSVMOneClass svm = new LibSVMOneClass(C, kernel); svm.set_epsilon(epsilon); svm.train(); kernel.init(feats_train, feats_test); double[] out_labels = svm.apply().get_labels(); foreach (double item in out_labels) Console.Write(item); modshogun.exit_shogun(); }
internal static HandleRef getCPtr(LibSVMOneClass obj) { return (obj == null) ? new HandleRef(null, IntPtr.Zero) : obj.swigCPtr; }
internal static HandleRef getCPtr(LibSVMOneClass obj) { return((obj == null) ? new HandleRef(null, IntPtr.Zero) : obj.swigCPtr); }