/*
* 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.
*/
/*
* LossBasedBipartitionMeasureBase.java
* Copyright (C) 2009-2010 Aristotle University of Thessaloniki, Thessaloniki, Greece
*/
package mulan.evaluation.measure;
import mulan.evaluation.loss.BipartitionLossFunction;
/**
*
* @author Grigorios Tsoumakas
* @version 2010.11.10
*/
public abstract class LossBasedBipartitionMeasureBase extends ExampleBasedBipartitionMeasureBase {
// a bipartition loss function
private final BipartitionLossFunction loss;
/**
* Creates a loss-based bipartition measure
*
* @param aLoss a bipartition loss function
*/
public LossBasedBipartitionMeasureBase(BipartitionLossFunction aLoss) {
loss = aLoss;
}
@Override
public void updateBipartition(boolean[] bipartition, boolean[] truth) {
sum += loss.computeLoss(bipartition, truth);
count++;
}
public String getName() {
return loss.getName();
}
public double getIdealValue() {
return 0;
}
}