/*
* 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.
*/
/*
* HierarchicalLoss.java
* Copyright (C) 2009-2010 Aristotle University of Thessaloniki, Thessaloniki, Greece
*/
package mulan.evaluation.measure;
import mulan.data.MultiLabelInstances;
/**
* Implementation of the Hierarchical loss measure.
*
* @author Grigorios Tsoumakas
* @version 2010.12.04
*/
public class HierarchicalLoss extends LossBasedBipartitionMeasureBase {
/**
* Creates an instance of this object based on the corresponding loss
* function
*
* @param data the test instances
*/
public HierarchicalLoss(MultiLabelInstances data) {
super(new mulan.evaluation.loss.HierarchicalLoss(data));
}
}