/**
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 - 2014
*/
package fr.lip6.jkernelmachines.test.density;
import static org.junit.Assert.assertTrue;
import java.util.ArrayList;
import java.util.List;
import org.junit.Before;
import org.junit.Test;
import fr.lip6.jkernelmachines.density.SMODensity;
import fr.lip6.jkernelmachines.kernel.typed.DoubleGaussL2;
import fr.lip6.jkernelmachines.type.TrainingSample;
import fr.lip6.jkernelmachines.util.generators.GaussianGenerator;
/**
* Test case for the SMODensity class
* @author picard
*
*/
public class SMODensityTest {
List<double[]> train;
/**
* @throws java.lang.Exception
*/
@Before
public void setUp() throws Exception {
GaussianGenerator gen = new GaussianGenerator(2, 2, 1.0);
List<TrainingSample<double[]>> list = gen.generateList(100, 100);
train = new ArrayList<double[]>();
for (TrainingSample<double[]> t : list) {
train.add(t.sample);
}
}
/**
* Test method for
* {@link fr.lip6.jkernelmachines.density.SMODensity#train(java.util.List)}.
*/
@Test
public final void testTrainListOfT() {
DoubleGaussL2 k = new DoubleGaussL2();
SMODensity<double[]> de = new SMODensity<double[]>(k);
de.setC(1.);
de.train(train);
for (double[] x : train) {
assertTrue(!Double.isNaN(de.valueOf(x)));
}
}
}