/*
* 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.
*/
/*
* MultiLabelMetaLearner.java
* Copyright (C) 2009-2010 Aristotle University of Thessaloniki, Thessaloniki, Greece
*/
package mulan.classifier.meta;
import mulan.classifier.transformation.*;
import mulan.classifier.*;
import mulan.core.ArgumentNullException;
import weka.classifiers.trees.J48;
/**
* Base class for multi-label learners, which use other multi-label learners
*
* @author Grigorios Tsoumakas
* @version $Revision: 0.01 $
*/
public abstract class MultiLabelMetaLearner extends MultiLabelLearnerBase {
/**
* The encapsulated classifier or used for making clones in the case of ensemble classifiers.
*/
protected final MultiLabelLearner baseLearner;
/**
* Creates a new instance of {@link MultiLabelMetaLearner} with default {@link LabelPowerset}
* multi-label classifier using J48 as the base classifier.
*
* @throws Exception
*/
public MultiLabelMetaLearner() throws Exception {
this(new LabelPowerset(new J48()));
}
/**
* Creates a new instance.
*
* @param baseLearner the base multi-label learner which will be used internally to handle the
* data.
*/
public MultiLabelMetaLearner(MultiLabelLearner baseLearner) {
if (baseLearner == null) {
throw new ArgumentNullException("baseLearner");
}
this.baseLearner = baseLearner;
}
/**
* Returns the {@link MultiLabelLearner} which is used internally by the learner.
*
* @return the baseLearner
*/
public MultiLabelLearner getBaseLearner() {
return baseLearner;
}
}