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();
}
