deduper.java
来自「wekaUT是 university texas austin 开发的基于wek」· Java 代码 · 共 69 行
JAVA
69 行
/* * 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; }}
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