static void Main(string[] argv)
{
modshogun.init_shogun_with_defaults();
int num = 1000;
double dist = 1.0;
double width = 2.1;
double C = 1.0;
DoubleMatrix offs =ones(2, num).mmul(dist);
DoubleMatrix x = randn(2, num).sub(offs);
DoubleMatrix y = randn(2, num).add(offs);
DoubleMatrix traindata_real = concatHorizontally(x, y);
DoubleMatrix o = ones(1,num);
DoubleMatrix trainlab = concatHorizontally(o.neg(), o);
DoubleMatrix testlab = concatHorizontally(o.neg(), o);
RealFeatures feats = new RealFeatures(traindata_real);
GaussianKernel kernel = new GaussianKernel(feats, feats, width);
Labels labels = new Labels(trainlab);
GMNPSVM svm = new GMNPSVM(C, kernel, labels);
feats.add_preprocessor(new NormOne());
feats.add_preprocessor(new LogPlusOne());
feats.set_preprocessed(1);
svm.train(feats);
SerializableAsciiFile fstream = new SerializableAsciiFile("blaah.asc", 'w');
//svm.save_serializable(fstream);
modshogun.exit_shogun();
}
static void Main(string[] argv)
{
modshogun.init_shogun_with_defaults();
double width = 1.4;
int size_cache = 10;
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);
RandomFourierGaussPreproc preproc = new RandomFourierGaussPreproc();
preproc.init(feats_train);
feats_train.add_preprocessor(preproc);
feats_train.apply_preprocessor();
feats_test.add_preprocessor(preproc);
feats_test.apply_preprocessor();
Chi2Kernel kernel = new Chi2Kernel(feats_train, feats_train, width, size_cache);
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();
}
public static void Main()
{
modshogun.init_shogun_with_defaults();
double width = 1.4;
int size_cache = 10;
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);
LogPlusOne preproc = new LogPlusOne();
preproc.init(feats_train);
feats_train.add_preprocessor(preproc);
feats_train.apply_preprocessor();
feats_test.add_preprocessor(preproc);
feats_test.apply_preprocessor();
Chi2Kernel kernel = new Chi2Kernel(feats_train, feats_train, width, size_cache);
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 width = 1.4;
int size_cache = 10;
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);
PruneVarSubMean preproc = new PruneVarSubMean();
preproc.init(feats_train);
feats_train.add_preprocessor(preproc);
feats_train.apply_preprocessor();
feats_test.add_preprocessor(preproc);
feats_test.apply_preprocessor();
Chi2Kernel kernel = new Chi2Kernel(feats_train, feats_train, width, size_cache);
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 width = 1.4;
int size_cache = 10;
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);
PruneVarSubMean preproc = new PruneVarSubMean();
preproc.init(feats_train);
feats_train.add_preprocessor(preproc);
feats_train.apply_preprocessor();
feats_test.add_preprocessor(preproc);
feats_test.apply_preprocessor();
Chi2Kernel kernel = new Chi2Kernel(feats_train, feats_train, width, size_cache);
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 width = 1.4;
int size_cache = 10;
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);
LogPlusOne preproc = new LogPlusOne();
preproc.init(feats_train);
feats_train.add_preprocessor(preproc);
feats_train.apply_preprocessor();
feats_test.add_preprocessor(preproc);
feats_test.apply_preprocessor();
Chi2Kernel kernel = new Chi2Kernel(feats_train, feats_train, width, size_cache);
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();
}