static void Main(string[] argv) { modshogun.init_shogun_with_defaults(); double width = 1.2; 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(traindata_real); RealFeatures feats_test = new RealFeatures(testdata_real); GaussianKernel kernel = new GaussianKernel(feats_train, feats_test, width); DoubleMatrix km_train = kernel.get_kernel_matrix(); AsciiFile f =new AsciiFile("gaussian_train.ascii",'w'); kernel.save(f); kernel.init(feats_train, feats_test); DoubleMatrix km_test = kernel.get_kernel_matrix(); AsciiFile f_test =new AsciiFile("gaussian_train.ascii",'w'); kernel.save(f_test); Console.WriteLine(km_train.ToString()); Console.WriteLine(km_test.ToString()); modshogun.exit_shogun(); }
public static void Main() { modshogun.init_shogun_with_defaults(); double width = 1.2; 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(traindata_real); RealFeatures feats_test = new RealFeatures(testdata_real); GaussianKernel kernel = new GaussianKernel(feats_train, feats_test, width); double[,] km_train = kernel.get_kernel_matrix(); AsciiFile f = new AsciiFile("gaussian_train.ascii", 'w'); kernel.save(f); kernel.init(feats_train, feats_test); double[,] km_test = kernel.get_kernel_matrix(); AsciiFile f_test = new AsciiFile("gaussian_train.ascii", 'w'); kernel.save(f_test); // Parse and Display km_train Console.Write("km_train:\n"); int numRows = km_train.GetLength(0); int numCols = km_train.GetLength(1); for (int i = 0; i < numRows; i++) { for (int j = 0; j < numCols; j++) { Console.Write(km_train[i, j] + " "); } Console.Write("\n"); } // Parse and Display km_test Console.Write("\nkm_test:\n"); numRows = km_test.GetLength(0); numCols = km_test.GetLength(1); for (int i = 0; i < numRows; i++) { for (int j = 0; j < numCols; j++) { Console.Write(km_test[i, j] + " "); } Console.Write("\n"); } modshogun.exit_shogun(); }
internal static ArrayList run(string filename) { modshogun.init_shogun_with_defaults(); StringCharFeatures f = new StringCharFeatures(RAWBYTE); f.load_from_directory("."); AsciiFile fil = new AsciiFile(fname); f.load(fil); ArrayList result = new ArrayList(); result.Add(f.get_features()); result.Add(f); modshogun.exit_shogun(); return result; }
public static void Main() { modshogun.init_shogun_with_defaults(); double width = 1.2; 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(traindata_real); RealFeatures feats_test = new RealFeatures(testdata_real); GaussianKernel kernel = new GaussianKernel(feats_train, feats_test, width); double[,] km_train = kernel.get_kernel_matrix(); AsciiFile f=new AsciiFile("gaussian_train.ascii",'w'); kernel.save(f); kernel.init(feats_train, feats_test); double[,] km_test = kernel.get_kernel_matrix(); AsciiFile f_test=new AsciiFile("gaussian_train.ascii",'w'); kernel.save(f_test); // Parse and Display km_train Console.Write("km_train:\n"); int numRows = km_train.GetLength(0); int numCols = km_train.GetLength(1); for(int i = 0; i < numRows; i++){ for(int j = 0; j < numCols; j++){ Console.Write(km_train[i,j] +" "); } Console.Write("\n"); } // Parse and Display km_test Console.Write("\nkm_test:\n"); numRows = km_test.GetLength(0); numCols = km_test.GetLength(1); for(int i = 0; i < numRows; i++){ for(int j = 0; j < numCols; j++){ Console.Write(km_test[i,j] +" "); } Console.Write("\n"); } modshogun.exit_shogun(); }
internal static HandleRef getCPtr(AsciiFile obj) { return (obj == null) ? new HandleRef(null, IntPtr.Zero) : obj.swigCPtr; }
internal static HandleRef getCPtr(AsciiFile obj) { return((obj == null) ? new HandleRef(null, IntPtr.Zero) : obj.swigCPtr); }