/*
* Encog(tm) Core v3.3 - Java Version
* http://www.heatonresearch.com/encog/
* https://github.com/encog/encog-java-core
* Copyright 2008-2014 Heaton Research, Inc.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*
* For more information on Heaton Research copyrights, licenses
* and trademarks visit:
* http://www.heatonresearch.com/copyright
*/
package org.encog.ml.linear;
import java.util.Arrays;
import junit.framework.TestCase;
import org.encog.ml.data.MLData;
import org.encog.ml.data.MLDataPair;
import org.encog.ml.data.MLDataSet;
import org.encog.ml.data.basic.BasicMLDataSet;
import org.encog.ml.fitting.gaussian.GaussianFitting;
import org.encog.ml.fitting.gaussian.TrainGaussian;
public class TestGaussian extends TestCase {
public void testGauss() {
double[][] INPUT = { {3,8}, {4,7}, {5,5}, {6,3}, {7,2} };
MLDataSet data = new BasicMLDataSet(INPUT, null);
GaussianFitting fit = new GaussianFitting(INPUT[0].length);
TrainGaussian train = new TrainGaussian(fit,data);
train.iteration();
for(MLDataPair pair: data){
MLData output = fit.compute(pair.getInput());
System.out.println( output.getData(0));
}
for( double[] d : fit.getSigma().getData()) {
System.out.println( Arrays.toString(d));
}
}
}