/*
* 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.
*/
/*
* Deduper.java
* Copyright (C) 2003 Mikhail Bilenko
*
*/
package weka.deduping;
import weka.core.Instances;
import weka.core.Utils;
import java.util.ArrayList;
/** An abstract class that takes a set of objects and
* identifies disjoint subsets of duplicates
*
* @author Mikhail Bilenko (mbilenko@cs.utexas.edu)
* @version $Revision: 1.1 $
*/
public abstract class Deduper implements Cloneable {
/** An arraylist of Object arrays containing statistics */
protected ArrayList m_statistics = null;
/** Given training data, build the metrics required by the deduper
* @param train a set of training data
*/
public abstract void buildDeduper(Instances trainInstances, Instances testInstances) throws Exception;
/** Identify duplicates within the testing data
* @param testInstances a set of instances among which to identify duplicates
* @param numObjects the number of "true object" sets to create
*/
public abstract void findDuplicates(Instances testInstances, int numObjects) throws Exception;
public static Deduper forName(String deduperName, String [] options) throws Exception {
return (Deduper)Utils.forName(Deduper.class,
deduperName,
options);
}
/** Return the list of statistics collected during deduping
* @returns collected statistics
*/
public ArrayList getStatistics() {
return m_statistics;
}
}