/*
* 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.
*/
/*
* BipartitionMeasureBase.java
* Copyright (C) 2009-2010 Aristotle University of Thessaloniki, Thessaloniki, Greece
*/
package mulan.evaluation.measure;
import mulan.classifier.MultiLabelOutput;
import mulan.core.ArgumentNullException;
/**
*
* @author Grigorios Tsoumakas
* @version 2010.11.01
*/
public abstract class BipartitionMeasureBase extends MeasureBase {
protected void updateInternal(MultiLabelOutput prediction, boolean[] truth) {
boolean[] bipartition = prediction.getBipartition();
if (bipartition == null) {
throw new ArgumentNullException("Bipartition is null");
}
if (bipartition.length != truth.length) {
throw new IllegalArgumentException("The dimensions of the " +
"bipartition and the ground truth array do not match");
}
updateBipartition(bipartition, truth);
}
/**
* Updates the measure based on an example
*
* @param bipartition the predicted bipartition
* @param truth the ground truth
*/
protected abstract void updateBipartition(boolean[] bipartition, boolean[] truth);
}