/**
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.classifier;
import static org.junit.Assert.assertEquals;
import static org.junit.Assert.assertTrue;
import java.util.List;
import org.junit.Before;
import org.junit.Test;
import fr.lip6.jkernelmachines.classifier.GradMKL;
import fr.lip6.jkernelmachines.classifier.LaSVM;
import fr.lip6.jkernelmachines.kernel.typed.DoubleGaussL2;
import fr.lip6.jkernelmachines.type.TrainingSample;
import fr.lip6.jkernelmachines.util.generators.GaussianGenerator;
/**
* @author picard
*
*/
public class GradMKLTest {
List<TrainingSample<double[]>> train;
GradMKL<double[]> svm;
/**
* @throws java.lang.Exception
*/
@Before
public void setUp() throws Exception {
GaussianGenerator g = new GaussianGenerator(10, 5.0f, 1.0);
train = g.generateList(10);
svm = new GradMKL<double[]>();
svm.addKernel(new DoubleGaussL2());
}
/**
* Test method for {@link fr.lip6.jkernelmachines.classifier.GradMKL#addKernel(fr.lip6.jkernelmachines.kernel.Kernel)}.
*/
@Test
public final void testAddKernel() {
DoubleGaussL2 k = new DoubleGaussL2(1.0);
svm.addKernel(k);
assertTrue(svm.getKernels().contains(k));
}
/**
* Test method for {@link fr.lip6.jkernelmachines.classifier.GradMKL#train(java.util.List)}.
*/
@Test
public final void testTrainListOfTrainingSampleOfT() {
svm.train(train);
for(TrainingSample<double[]> t : train) {
double v = t.label * svm.valueOf(t.sample);
assertTrue(v > 0);
}
}
/**
* Test method for {@link fr.lip6.jkernelmachines.classifier.GradMKL#setC(double)}.
*/
@Test
public final void testSetC() {
svm.setC(10.0);
assertEquals(10.0, svm.getC(), 1e-15);
}
/**
* Test method for {@link fr.lip6.jkernelmachines.classifier.GradMKL#setMKLNorm(double)}.
*/
@Test
public final void testSetMKLNorm() {
svm.setMKLNorm(2.0);
assertEquals(2.0, svm.getMKLNorm(), 1e-15);
}
/**
* Test method for {@link fr.lip6.jkernelmachines.classifier.GradMKL#setStopGap(double)}.
*/
@Test
public final void testSetStopGap() {
svm.setStopGap(1e-3);
assertEquals(1e-3, svm.getStopGap(), 1e-15);
}
/**
* Test method for {@link fr.lip6.jkernelmachines.classifier.GradMKL#setClassifier(fr.lip6.jkernelmachines.classifier.KernelSVM)}.
*/
@Test
public final void testSetClassifier() {
LaSVM<double[]> lasvm = new LaSVM<double[]>(new DoubleGaussL2());
svm.setClassifier(lasvm);
assertEquals(lasvm, svm.getClassifier());
}
}