/*
* 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();
}
}