[29] | 1 | /* |
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| 2 | * This program is free software; you can redistribute it and/or modify |
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| 3 | * it under the terms of the GNU General Public License as published by |
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| 4 | * the Free Software Foundation; either version 2 of the License, or |
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| 5 | * (at your option) any later version. |
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| 6 | * |
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| 7 | * This program is distributed in the hope that it will be useful, |
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| 8 | * but WITHOUT ANY WARRANTY; without even the implied warranty of |
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| 9 | * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the |
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| 10 | * GNU General Public License for more details. |
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| 11 | * |
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| 12 | * You should have received a copy of the GNU General Public License |
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| 13 | * along with this program; if not, write to the Free Software |
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| 14 | * Foundation, Inc., 675 Mass Ave, Cambridge, MA 02139, USA. |
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| 15 | */ |
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| 16 | |
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| 17 | /* |
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| 18 | * MultipleClassifiersCombiner.java |
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| 19 | * Copyright (C) 2004 University of Waikato, Hamilton, New Zealand |
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| 20 | * |
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| 21 | */ |
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| 22 | |
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| 23 | package weka.classifiers; |
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| 24 | |
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| 25 | import weka.core.Capabilities; |
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| 26 | import weka.core.Option; |
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| 27 | import weka.core.OptionHandler; |
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| 28 | import weka.core.Utils; |
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| 29 | import weka.core.Capabilities.Capability; |
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| 30 | |
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| 31 | import java.util.Enumeration; |
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| 32 | import java.util.Vector; |
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| 33 | |
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| 34 | /** |
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| 35 | * Abstract utility class for handling settings common to |
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| 36 | * meta classifiers that build an ensemble from multiple classifiers. |
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| 37 | * |
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| 38 | * @author Eibe Frank (eibe@cs.waikato.ac.nz) |
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| 39 | * @version $Revision: 6041 $ |
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| 40 | */ |
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| 41 | public abstract class MultipleClassifiersCombiner extends AbstractClassifier { |
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| 42 | |
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| 43 | /** for serialization */ |
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| 44 | private static final long serialVersionUID = 2776436621129422119L; |
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| 45 | |
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| 46 | /** Array for storing the generated base classifiers. */ |
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| 47 | protected Classifier[] m_Classifiers = { |
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| 48 | new weka.classifiers.rules.ZeroR() |
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| 49 | }; |
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| 50 | |
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| 51 | /** |
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| 52 | * Returns an enumeration describing the available options |
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| 53 | * |
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| 54 | * @return an enumeration of all the available options |
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| 55 | */ |
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| 56 | public Enumeration listOptions() { |
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| 57 | |
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| 58 | Vector newVector = new Vector(1); |
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| 59 | |
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| 60 | newVector.addElement(new Option( |
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| 61 | "\tFull class name of classifier to include, followed\n" |
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| 62 | + "\tby scheme options. May be specified multiple times.\n" |
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| 63 | + "\t(default: \"weka.classifiers.rules.ZeroR\")", |
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| 64 | "B", 1, "-B <classifier specification>")); |
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| 65 | |
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| 66 | Enumeration enu = super.listOptions(); |
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| 67 | while (enu.hasMoreElements()) { |
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| 68 | newVector.addElement(enu.nextElement()); |
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| 69 | } |
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| 70 | return newVector.elements(); |
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| 71 | } |
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| 72 | |
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| 73 | /** |
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| 74 | * Parses a given list of options. Valid options are:<p> |
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| 75 | * |
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| 76 | * -B classifierstring <br> |
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| 77 | * Classifierstring should contain the full class name of a scheme |
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| 78 | * included for selection followed by options to the classifier |
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| 79 | * (required, option should be used once for each classifier).<p> |
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| 80 | * |
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| 81 | * @param options the list of options as an array of strings |
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| 82 | * @exception Exception if an option is not supported |
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| 83 | */ |
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| 84 | public void setOptions(String[] options) throws Exception { |
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| 85 | |
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| 86 | // Iterate through the schemes |
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| 87 | Vector classifiers = new Vector(); |
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| 88 | while (true) { |
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| 89 | String classifierString = Utils.getOption('B', options); |
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| 90 | if (classifierString.length() == 0) { |
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| 91 | break; |
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| 92 | } |
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| 93 | String [] classifierSpec = Utils.splitOptions(classifierString); |
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| 94 | if (classifierSpec.length == 0) { |
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| 95 | throw new IllegalArgumentException("Invalid classifier specification string"); |
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| 96 | } |
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| 97 | String classifierName = classifierSpec[0]; |
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| 98 | classifierSpec[0] = ""; |
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| 99 | classifiers.addElement(AbstractClassifier.forName(classifierName, |
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| 100 | classifierSpec)); |
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| 101 | } |
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| 102 | if (classifiers.size() == 0) { |
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| 103 | classifiers.addElement(new weka.classifiers.rules.ZeroR()); |
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| 104 | } |
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| 105 | Classifier [] classifiersArray = new Classifier [classifiers.size()]; |
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| 106 | for (int i = 0; i < classifiersArray.length; i++) { |
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| 107 | classifiersArray[i] = (Classifier) classifiers.elementAt(i); |
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| 108 | } |
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| 109 | setClassifiers(classifiersArray); |
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| 110 | |
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| 111 | super.setOptions(options); |
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| 112 | } |
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| 113 | |
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| 114 | /** |
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| 115 | * Gets the current settings of the Classifier. |
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| 116 | * |
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| 117 | * @return an array of strings suitable for passing to setOptions |
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| 118 | */ |
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| 119 | public String [] getOptions() { |
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| 120 | |
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| 121 | String [] superOptions = super.getOptions(); |
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| 122 | int current = 0; |
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| 123 | String[] options = new String [superOptions.length + m_Classifiers.length * 2]; |
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| 124 | for (int i = 0; i < m_Classifiers.length; i++) { |
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| 125 | options[current++] = "-B"; |
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| 126 | options[current++] = "" + getClassifierSpec(i); |
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| 127 | } |
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| 128 | System.arraycopy(superOptions, 0, options, current, |
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| 129 | superOptions.length); |
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| 130 | return options; |
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| 131 | } |
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| 132 | |
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| 133 | /** |
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| 134 | * Returns the tip text for this property |
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| 135 | * @return tip text for this property suitable for |
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| 136 | * displaying in the explorer/experimenter gui |
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| 137 | */ |
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| 138 | public String classifiersTipText() { |
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| 139 | return "The base classifiers to be used."; |
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| 140 | } |
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| 141 | |
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| 142 | /** |
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| 143 | * Sets the list of possible classifers to choose from. |
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| 144 | * |
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| 145 | * @param classifiers an array of classifiers with all options set. |
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| 146 | */ |
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| 147 | public void setClassifiers(Classifier [] classifiers) { |
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| 148 | |
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| 149 | m_Classifiers = classifiers; |
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| 150 | } |
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| 151 | |
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| 152 | /** |
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| 153 | * Gets the list of possible classifers to choose from. |
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| 154 | * |
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| 155 | * @return the array of Classifiers |
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| 156 | */ |
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| 157 | public Classifier [] getClassifiers() { |
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| 158 | |
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| 159 | return m_Classifiers; |
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| 160 | } |
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| 161 | |
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| 162 | /** |
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| 163 | * Gets a single classifier from the set of available classifiers. |
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| 164 | * |
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| 165 | * @param index the index of the classifier wanted |
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| 166 | * @return the Classifier |
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| 167 | */ |
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| 168 | public Classifier getClassifier(int index) { |
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| 169 | |
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| 170 | return m_Classifiers[index]; |
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| 171 | } |
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| 172 | |
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| 173 | /** |
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| 174 | * Gets the classifier specification string, which contains the class name of |
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| 175 | * the classifier and any options to the classifier |
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| 176 | * |
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| 177 | * @param index the index of the classifier string to retrieve, starting from |
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| 178 | * 0. |
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| 179 | * @return the classifier string, or the empty string if no classifier |
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| 180 | * has been assigned (or the index given is out of range). |
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| 181 | */ |
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| 182 | protected String getClassifierSpec(int index) { |
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| 183 | |
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| 184 | if (m_Classifiers.length < index) { |
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| 185 | return ""; |
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| 186 | } |
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| 187 | Classifier c = getClassifier(index); |
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| 188 | return c.getClass().getName() + " " |
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| 189 | + Utils.joinOptions(((OptionHandler)c).getOptions()); |
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| 190 | } |
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| 191 | |
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| 192 | /** |
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| 193 | * Returns combined capabilities of the base classifiers, i.e., the |
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| 194 | * capabilities all of them have in common. |
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| 195 | * |
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| 196 | * @return the capabilities of the base classifiers |
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| 197 | */ |
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| 198 | public Capabilities getCapabilities() { |
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| 199 | Capabilities result; |
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| 200 | int i; |
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| 201 | |
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| 202 | if (getClassifiers().length == 0) { |
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| 203 | result = new Capabilities(this); |
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| 204 | result.disableAll(); |
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| 205 | } |
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| 206 | else { |
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| 207 | result = (Capabilities) getClassifier(0).getCapabilities().clone(); |
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| 208 | for (i = 1; i < getClassifiers().length; i++) |
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| 209 | result.and(getClassifier(i).getCapabilities()); |
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| 210 | } |
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| 211 | |
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| 212 | // set dependencies |
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| 213 | for (Capability cap: Capability.values()) |
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| 214 | result.enableDependency(cap); |
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| 215 | |
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| 216 | result.setOwner(this); |
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| 217 | |
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| 218 | return result; |
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| 219 | } |
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| 220 | } |
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