📄 clusterwrapper.java
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/* * YALE - Yet Another Learning Environment * Copyright (C) 2002, 2003 * Simon Fischer, Ralf Klinkenberg, Ingo Mierswa, * Katharina Morik, Oliver Ritthoff * Artificial Intelligence Unit * Computer Science Department * University of Dortmund * 44221 Dortmund, Germany * email: yale@ls8.cs.uni-dortmund.de * web: http://yale.cs.uni-dortmund.de/ * * 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., 59 Temple Place, Suite 330, Boston, MA 02111-1307 * USA. */package edu.udo.cs.yale.operator.clusterer;import edu.udo.cs.yale.operator.Operator;import edu.udo.cs.yale.operator.OperatorChain;import edu.udo.cs.yale.operator.OperatorException;import edu.udo.cs.yale.operator.IllegalInputException;import edu.udo.cs.yale.operator.FatalException;import edu.udo.cs.yale.operator.IOObject;import edu.udo.cs.yale.example.ExampleSet;import edu.udo.cs.yale.example.SplittedExampleSet;import edu.udo.cs.yale.tools.LogService;/** * This operator splits up the input example set according to the clusters and * applies its inner operators <var>number_of_clusters</var> time. This requires * the example set to have a special cluster attribute which can be either * created by a {@link Clusterer} or might be declared in the attribute description * file that was used when the data was loaded. * * @yale.todo Test this operator. * @version $Id: ClusterWrapper.java,v 2.6 2003/08/07 15:10:15 fischer Exp $ */public class ClusterWrapper extends OperatorChain { private static final Class[] INPUT_CLASSES = { ExampleSet.class }; private static final Class[] OUTPUT_CLASSES = {}; private int numberOfClusters; public IOObject[] apply() throws OperatorException { ExampleSet exampleSet = (ExampleSet)getInput(ExampleSet.class); if (exampleSet == null) { throw new FatalException("No example set in input of '"+getName()+"'!"); } SplittedExampleSet splitted = SplittedExampleSet.splitByAttribute(exampleSet, exampleSet.getCluster()); for (int i = 0; i < numberOfClusters; i++) { splitted.selectSingleSubset(i); setInput(getInput().copy().append(new IOObject[] { splitted })); super.apply(); } return new IOObject[0]; } /** the clustered example set */ public Class[] getInputClasses() { return INPUT_CLASSES; } /** no output */ public Class[] getOutputClasses() { return OUTPUT_CLASSES; } public Class[] checkIO(Class[] input) throws IllegalInputException { for (int i = 0; i < getNumberOfOperators(); i++) { Operator o = getOperator(i); input = o.checkIO(input); } return OUTPUT_CLASSES; } /** Returns the highest possible value for the maximum number of innner operators. */ public int getMaxNumberOfInnerOperators() { return 0; } /** Returns 0 for the minimum number of innner operators. */ public int getMinNumberOfInnerOperators() { return Integer.MAX_VALUE; } public int getNumberOfSteps() { return numberOfClusters*getNumberOfChildrensSteps() + 1; }}
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