Java tutorial
/* * This program 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. * * This program 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 this program. If not, see <http://www.gnu.org/licenses/>. */ package fantail.algorithms; import fantail.core.Tools; import weka.core.Instance; import weka.core.Instances; /** * * @author Quan Sun quan.sun.nz@gmail.com */ public class AverageRanking extends AbstractRanker { private double[] m_DefRanking; @Override public String rankerName() { return "AvgRanking"; } @Override public void buildRanker(Instances data) throws Exception { Instances workingData = new Instances(data); int numLabels = Tools.getNumberTargets(workingData); m_DefRanking = new double[numLabels]; for (int m = 0; m < workingData.numInstances(); m++) { Instance inst = workingData.instance(m); double[] targetValues = Tools.getTargetVector(inst); for (int j = 0; j < targetValues.length; j++) { m_DefRanking[j] += (targetValues[j]); } } } @Override public double[] recommendRanking(Instance metaInst) throws Exception { return Tools.doubleArrayToRanking(m_DefRanking); } }