/* * 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 2 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, write to the Free Software * Foundation, Inc., 675 Mass Ave, Cambridge, MA 02139, USA. */ /* * MeasureBase.java * Copyright (C) 2009-2010 Aristotle University of Thessaloniki, Thessaloniki, Greece */ package mulan.evaluation.measure; import java.io.Serializable; import mulan.classifier.MultiLabelOutput; import mulan.core.ArgumentNullException; import weka.core.SerializedObject; /** * * @author Grigorios Tsoumakas */ public abstract class MeasureBase implements Measure, Serializable { public final void update(MultiLabelOutput prediction, boolean[] truth) { if (prediction == null) { throw new ArgumentNullException("Prediction is null"); } if (truth == null) { throw new ArgumentNullException("Ground truth is null"); } updateInternal(prediction, truth); } @Override public String toString() { double value = Double.NaN; try { value = getValue(); } catch (Exception ex) { } return getName() + ": " + String.format("%.4f", value); } /** * Updates the measure based on an example * * @param prediction the output of the algorithm for the example * @param truth the ground truth of the example */ protected abstract void updateInternal(MultiLabelOutput prediction, boolean[] truth); public Measure makeCopy() throws Exception { return (Measure) new SerializedObject(this).getObject(); } }