/*
* 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.
*/
/*
* LabelPowersetAttributeEvaluator.java
* Copyright (C) 2009-2010 Aristotle University of Thessaloniki, Thessaloniki, Greece
*/
package mulan.dimensionalityReduction;
import java.util.logging.Level;
import java.util.logging.Logger;
import mulan.data.MultiLabelInstances;
import mulan.transformations.LabelPowersetTransformation;
import weka.attributeSelection.ASEvaluation;
import weka.attributeSelection.AttributeEvaluator;
import weka.core.Instances;
/**
* Performs attribute evaluation using the label powerset transformation. For
* more information, see <br/>
* <br/>
* K. Trohidis, G. Tsoumakas, G. Kalliris, I. Vlahavas. "Multilabel
* Classification of Music into Emotions". Proc. 2008 International Conference
* on Music Information Retrieval (ISMIR 2008)
* </p>
*
* BibTeX:
*
* <pre>
* @inproceedings{trohidis+etal:2008,
* author = {Trohidis, K. and Tsoumakas, G. and Kalliris, G. and Vlahavas, I.},
* title = {Multilabel Classification of Music into Emotions},
* booktitle = {Proc. 9th International Conference on Music Information Retrieval (ISMIR 2008), Philadelphia, PA, USA, 2008},
* year = {2008},
* location = {Philadephia, PA, USA},
* }
* </pre>
*
* @author Grigorios Tsoumakas
*/
public class LabelPowersetAttributeEvaluator extends ASEvaluation implements AttributeEvaluator {
/** The single-label attribute evaluator to use underneath */
private ASEvaluation baseAttributeEvaluator;
/** Constructor that uses an evaluator on a multi-label dataset
* @param x
* @param mlData */
public LabelPowersetAttributeEvaluator(ASEvaluation x, MultiLabelInstances mlData) {
baseAttributeEvaluator = x;
LabelPowersetTransformation lpt = new LabelPowersetTransformation();
Instances data;
try {
data = lpt.transformInstances(mlData);
((ASEvaluation) baseAttributeEvaluator).buildEvaluator(data);
} catch (Exception ex) {
Logger.getLogger(LabelPowersetAttributeEvaluator.class.getName()).log(Level.SEVERE, null, ex);
}
}
@Override
public double evaluateAttribute(int attribute) throws Exception {
return ((AttributeEvaluator) baseAttributeEvaluator).evaluateAttribute(attribute);
}
@Override
public void buildEvaluator(Instances arg0) throws Exception {
throw new UnsupportedOperationException("Not supported yet.");
}
}