/**
This file is part of JkernelMachines.
JkernelMachines is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.
JkernelMachines is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License
along with JkernelMachines. If not, see <http://www.gnu.org/licenses/>.
Copyright David Picard - 2013
*/
package fr.lip6.jkernelmachines.test.kernel.extra;
import static org.junit.Assert.assertEquals;
import java.util.List;
import org.junit.Before;
import org.junit.Test;
import fr.lip6.jkernelmachines.kernel.extra.NystromKernel;
import fr.lip6.jkernelmachines.kernel.typed.DoubleGaussL2;
import fr.lip6.jkernelmachines.type.TrainingSample;
import fr.lip6.jkernelmachines.util.generators.GaussianGenerator;
/**
* Test case for the NystromKernel class
* @author picard
*
*/
public class NystromKernelTest {
List<TrainingSample<double[]>> list;
DoubleGaussL2 dk;
NystromKernel<double[]> nk;
int nb_samples = 50;
/**
* @throws java.lang.Exception
*/
@Before
public void setUp() throws Exception {
GaussianGenerator g = new GaussianGenerator(2, 1, 0.5);
list = g.generateList(nb_samples);
dk = new DoubleGaussL2();
nk = new NystromKernel<double[]>(dk);
}
/**
* Test method for {@link fr.lip6.jkernelmachines.kernel.extra.NystromKernel#train(java.util.List)}.
*/
@Test
public final void testTrain() {
double[][] matrix = dk.getKernelMatrix(list);
nk.train(list);
double[][] nk_matrix = nk.getKernelMatrix(list);
for(int i = 0 ; i < matrix.length ; i++) {
for(int j = i ; j< matrix.length ; j++) {
assertEquals(matrix[i][j], nk_matrix[i][j], 1e-10);
}
}
}
/**
* Test method for {@link fr.lip6.jkernelmachines.kernel.extra.NystromKernel#activeTrain(java.util.List, int, int, int)}.
*/
@Test
public final void testActiveTrain() {
double[][] matrix = dk.getKernelMatrix(list);
nk.activeTrain(list, nb_samples, 1, 5);
double[][] nk_matrix = nk.getKernelMatrix(list);
for(int i = 0 ; i < matrix.length ; i++) {
for(int j = i ; j< matrix.length ; j++) {
assertEquals(matrix[i][j], nk_matrix[i][j], 1e-10);
}
}
}
}