rule.java

wekaUT是 university texas austin 开发的基于weka的半指导学习(semi supervised learning)的分类器

/*
 *    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.
 */

/*
 *    Rule.java
 *    Copyright (C) 2001 Xin Xu
 */

package weka.classifiers.rules;

import weka.core.Instance;
import weka.core.Instances;
import weka.core.WeightedInstancesHandler;
import weka.core.Copyable;

/**
 * Abstract class of generic rule
 *
 * @author Xin Xu ([e-mail])
 * @version $Revision: 1.1.1.1 $
 */

public abstract class Rule 
    implements WeightedInstancesHandler, Copyable{
    
    /**
     * Get a shallow copy of this rule
     *
     * @return the copy
     */
    public Object copy(){ return this;}
    
    /**
     * Whether the instance covered by this rule
     * 
     * @param inst the instance in question
     * @return the boolean value indicating whether the instance 
     *         is covered by this rule
     */
    public abstract boolean covers(Instance datum);

    /**
     * Build this rule
     *
     * @param data the data used to build the rule
     * @exception if rule cannot be built
     */    
    public abstract void grow(Instances data) throws Exception;    

    /**
     * Whether this rule has antecedents, i.e. whether it is a default rule
     * 
     * @return the boolean value indicating whether the rule has antecedents
     */
    public abstract boolean hasAntds();   

    /** 
     * Get the consequent of this rule, i.e. the predicted class 
     * 
     * @return the consequent
     */
    public abstract double getConsequent(); 

    /** 
     * The size of the rule.  Could be number of antecedents in the case
     * of conjunctive rule
     *
     * @return the size of the rule
     */
    public abstract double size(); 
}