/*
* 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.
*/
/*
* SplitCriterion.java
* Copyright (C) 1999 University of Waikato, Hamilton, New Zealand
*
*/
package weka.classifiers.trees.j48;
import weka.core.RevisionHandler;
import java.io.Serializable;
/**
* Abstract class for computing splitting criteria
* with respect to distributions of class values.
*
* @author Eibe Frank (eibe@cs.waikato.ac.nz)
* @version $Revision: 1.8 $
*/
public abstract class SplitCriterion
implements Serializable, RevisionHandler {
/** for serialization */
private static final long serialVersionUID = 5490996638027101259L;
/**
* Computes result of splitting criterion for given distribution.
*
* @return value of splitting criterion. 0 by default
*/
public double splitCritValue(Distribution bags){
return 0;
}
/**
* Computes result of splitting criterion for given training and
* test distributions.
*
* @return value of splitting criterion. 0 by default
*/
public double splitCritValue(Distribution train, Distribution test){
return 0;
}
/**
* Computes result of splitting criterion for given training and
* test distributions and given number of classes.
*
* @return value of splitting criterion. 0 by default
*/
public double splitCritValue(Distribution train, Distribution test,
int noClassesDefault){
return 0;
}
/**
* Computes result of splitting criterion for given training and
* test distributions and given default distribution.
*
* @return value of splitting criterion. 0 by default
*/
public double splitCritValue(Distribution train, Distribution test,
Distribution defC){
return 0;
}
}