public static void Main() { modshogun.init_shogun_with_defaults(); double scale = 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); LinearKernel kernel = new LinearKernel(feats_train, feats_test); kernel.set_normalizer(new AvgDiagKernelNormalizer(scale)); kernel.init(feats_train, feats_train); double[,] km_train = kernel.get_kernel_matrix(); kernel.init(feats_train, feats_test); double[,] km_test = kernel.get_kernel_matrix(); // 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(); }
public static void Main() { modshogun.init_shogun_with_defaults(); double scale = 1.2; double[,] traindata_real = Load.load_numbers("../data/fm_train_word.dat"); double[,] testdata_real = Load.load_numbers("../data/fm_test_word.dat"); short[,] traindata_word = new short[traindata_real.GetLength(0), traindata_real.GetLength(1)]; for (int i = 0; i < traindata_real.GetLength(0); i++) { for (int j = 0; j < traindata_real.GetLength(1); j++) { traindata_word[i, j] = (short)traindata_real[i, j]; } } short[,] testdata_word = new short[testdata_real.GetLength(0), testdata_real.GetLength(1)]; for (int i = 0; i < testdata_real.GetLength(0); i++) { for (int j = 0; j < testdata_real.GetLength(1); j++) { testdata_word[i, j] = (short)testdata_real[i, j]; } } WordFeatures feats_train = new WordFeatures(traindata_word); WordFeatures feats_test = new WordFeatures(testdata_word); LinearKernel kernel = new LinearKernel(feats_train, feats_test); kernel.set_normalizer(new AvgDiagKernelNormalizer(scale)); kernel.init(feats_train, feats_train); double[,] km_train = kernel.get_kernel_matrix(); kernel.init(feats_train, feats_test); double[,] km_test = kernel.get_kernel_matrix(); foreach (double item in km_train) { Console.Write(item); } foreach (double item in km_test) { Console.Write(item); } modshogun.exit_shogun(); }
public static void Main() { modshogun.init_shogun_with_defaults(); double scale = 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); LinearKernel kernel = new LinearKernel(feats_train, feats_test); kernel.set_normalizer(new AvgDiagKernelNormalizer(scale)); kernel.init(feats_train, feats_train); double[,] km_train = kernel.get_kernel_matrix(); kernel.init(feats_train, feats_test); double[,] km_test = kernel.get_kernel_matrix(); // 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(); }
public static void Main() { modshogun.init_shogun_with_defaults(); double scale = 1.2; double[,] traindata_real = Load.load_numbers("../data/fm_train_word.dat"); double[,] testdata_real = Load.load_numbers("../data/fm_test_word.dat"); short[,] traindata_word = new short[traindata_real.GetLength(0), traindata_real.GetLength(1)]; for (int i = 0; i < traindata_real.GetLength(0); i++){ for (int j = 0; j < traindata_real.GetLength(1); j++) traindata_word[i, j] = (short)traindata_real[i, j]; } short[,] testdata_word = new short[testdata_real.GetLength(0), testdata_real.GetLength(1)]; for (int i = 0; i < testdata_real.GetLength(0); i++){ for (int j = 0; j < testdata_real.GetLength(1); j++) testdata_word[i, j] = (short)testdata_real[i, j]; } WordFeatures feats_train = new WordFeatures(traindata_word); WordFeatures feats_test = new WordFeatures(testdata_word); LinearKernel kernel = new LinearKernel(feats_train, feats_test); kernel.set_normalizer(new AvgDiagKernelNormalizer(scale)); kernel.init(feats_train, feats_train); double[,] km_train = kernel.get_kernel_matrix(); kernel.init(feats_train, feats_test); double[,] km_test = kernel.get_kernel_matrix(); foreach(double item in km_train) { Console.Write(item); } foreach(double item in km_test) { Console.Write(item); } modshogun.exit_shogun(); }
static void Main(string[] argv) { modshogun.init_shogun_with_defaults(); double scale = 1.2; DoubleMatrix traindata_real = Load.load_numbers("../data/fm_train_word.dat"); DoubleMatrix testdata_real = Load.load_numbers("../data/fm_test_word.dat"); WordFeatures feats_train = new WordFeatures(traindata_real); WordFeatures feats_test = new WordFeatures(testdata_real); LinearKernel kernel = new LinearKernel(feats_train, feats_test); kernel.set_normalizer(new AvgDiagKernelNormalizer(scale)); kernel.init(feats_train, feats_train); DoubleMatrix km_train = kernel.get_kernel_matrix(); kernel.init(feats_train, feats_test); DoubleMatrix km_test = kernel.get_kernel_matrix(); Console.WriteLine(km_train.ToString()); Console.WriteLine(km_test.ToString()); modshogun.exit_shogun(); }