/* * This file is part of ALOE. * * ALOE 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. * ALOE 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 ALOE. If not, see <http://www.gnu.org/licenses/>. * * Copyright (c) 2012 SCCL, University of Washington (http://depts.washington.edu/sccl) */ package etc.aloe.cscw2013; import etc.aloe.data.ExampleSet; import etc.aloe.data.Model; import etc.aloe.data.Predictions; import java.io.IOException; import java.io.InputStream; import java.io.InvalidObjectException; import java.io.ObjectInputStream; import java.io.ObjectOutputStream; import java.io.OutputStream; import weka.classifiers.Classifier; /** * Model implementation that uses Weka classifiers. * * @author Michael Brooks <mjbrooks@uw.edu> */ public class WekaModel implements Model { private Classifier classifier; public WekaModel() { } public WekaModel(Classifier classifier) { this.classifier = classifier; } @Override public boolean save(OutputStream destination) throws IOException { ObjectOutputStream out = new ObjectOutputStream(destination); out.writeObject(classifier); return true; } @Override public boolean load(InputStream source) throws InvalidObjectException { try { ObjectInputStream in = new ObjectInputStream(source); this.classifier = (Classifier) in.readObject(); return true; } catch (IOException e) { throw new InvalidObjectException(e.getMessage()); } catch (ClassNotFoundException e) { throw new InvalidObjectException(e.getMessage()); } } /** * Attempt to label each example in the example set according to the model. * * Returns the list of generated labels. Order corresponds to the order of * examples. * * @param examples * @return */ @Override public Predictions getPredictions(ExampleSet examples) { Predictions predictions = new Predictions(); for (int i = 0; i < examples.size(); i++) { try { Boolean trueLabel = examples.getTrueLabel(i); double classValue = classifier.classifyInstance(examples.get(i)); Boolean predictedLabel = examples.getClassLabel(classValue); double[] distribution = classifier.distributionForInstance(examples.get(i)); Double confidence = examples.getConfidence(distribution, classValue); predictions.add(predictedLabel, confidence, trueLabel); } catch (Exception ex) { System.err.println("Classification error on instance " + i); } } return predictions; } /** * Get the weka classifier. * * @return */ public Classifier getClassifier() { return classifier; } }