[59] | 1 | package de.ugoe.cs.crosspare;
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| 2 |
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| 3 | import java.io.FileWriter;
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| 4 | import java.io.IOException;
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| 5 | import java.lang.reflect.InvocationTargetException;
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| 6 | import java.security.InvalidParameterException;
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| 7 |
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| 8 | public class ConfigurationBuilder {
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| 9 |
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| 10 | private static enum Dataset {MDP, JURECZKO};
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| 11 |
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| 12 | private static final String storageFolder = "config/";
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| 13 |
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| 14 | public static void main(String[] args) {
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| 15 | for( Dataset dataset : Dataset.values() ) {
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| 16 | writeFile("Koshgoftaar2008", dataset);
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| 17 | writeFile("Watanabe2008", dataset);
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| 18 | writeFile("Turhan2009", dataset);
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| 19 | writeFile("CamargoCruz2009", dataset);
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| 20 | // TODO Liu 2010
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| 21 | writeFile("Menzies2011", dataset);
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| 22 | writeFile("Ma2012", dataset);
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| 23 | writeFile("Peters2012", dataset);
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| 24 | writeFile("Uchigaki2012", dataset);
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| 25 | // TODO Canfora 2013 (MODEP)
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| 26 | writeFile("Peters2013", dataset);
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| 27 | writeFile("Herbold2013", dataset);
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| 28 | writeFile("ZHe2013", dataset);
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| 29 | writeFile("Nam2013", dataset);
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| 30 | writeFile("Panichella2014", dataset);
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| 31 | // TODO F.Zhang 2014
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| 32 | // TODO Mizuno 2014: data not public
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| 33 | // TODO Ryu 2014
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| 34 | writeFile("PHe2015", dataset);
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| 35 | // TODO Peters 2015 (LACE2)
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| 36 | // TODO Chen 2015
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| 37 | writeFile("Kawata2015", dataset);
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| 38 | writeFile("YZhang2015", dataset);
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| 39 | writeFile("Amasaki2015", dataset);
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| 40 | // TODO Ryu 2015a
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| 41 | writeFile("Ryu2015b", dataset);
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| 42 | // TODO Cao 2015 implementation details missing
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| 43 | writeFile("Nam2015b", dataset);
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| 44 | }
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| 45 | }
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| 46 |
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| 47 | public static void writeFile(String approach, Dataset dataset) {
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| 48 | FileWriter writer;
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| 49 | try {
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| 50 | writer = new FileWriter(storageFolder + dataset.toString() + "-" + approach + ".xml");
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| 51 | writer.append((String) ConfigurationBuilder.class.getMethod(approach, Dataset.class).invoke(null, dataset));
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| 52 | writer.flush();
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| 53 | writer.close();
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| 54 | }
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| 55 | catch (IOException | IllegalAccessException | IllegalArgumentException | InvocationTargetException | NoSuchMethodException | SecurityException e) {
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| 56 | // TODO Auto-generated catch block
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| 57 | e.printStackTrace();
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| 58 | }
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| 59 | }
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| 60 |
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| 61 | public static void preamble(StringBuilder configFile) {
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| 62 | configFile.append("<?xml version=\"1.0\" encoding=\"UTF-8\"?>\n");
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| 63 | configFile.append("<config xmlns=\"experimentconfig\" xmlns:xsi=\"http://www.w3.org/2001/XMLSchema-instance\" xsi:schemaLocation=\"experimentconfig experimentconfig.xsd\">\n");
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| 64 | }
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| 65 |
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| 66 | public static void postamble(StringBuilder configFile) {
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| 67 | configFile.append("</config>");
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| 68 | }
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| 69 |
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| 70 | public static void trainers(StringBuilder configFile) {
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| 71 | configFile.append(" <trainer name=\"WekaTraining\" param=\"RandomForest weka.classifiers.trees.RandomForest -CVPARAM I 5 25 5\" />\n");
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| 72 | configFile.append(" <trainer name=\"WekaTraining\" param=\"C4.5-DTree weka.classifiers.trees.J48 -CVPARAM C 0.1 0.3 5\" />\n");
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| 73 | configFile.append(" <trainer name=\"WekaTraining\" param=\"Logistic weka.classifiers.functions.Logistic\" />\n");
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| 74 | configFile.append(" <trainer name=\"WekaTraining\" param=\"NeuralNetwork weka.classifiers.functions.MultilayerPerceptron -CVPARAM M 1.5 2.5 3.0 L 0.2 0.4 3.0\" />\n");
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| 75 | configFile.append(" <trainer name=\"WekaTraining\" param=\"RBFNetwork weka.classifiers.functions.RBFNetwork -CVPARAM W 0.1 10.0 3.0 L 2.0 18.0 3.0\" />\n");
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| 76 | configFile.append(" <trainer name=\"WekaTraining\" param=\"SMORBF weka.classifiers.functions.SMO -K weka.classifiers.functions.supportVector.RBFKernel\" />\n");
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| 77 | }
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| 78 |
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| 79 | public static void trainersBagging(StringBuilder configFile) {
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| 80 | configFile.append(" <setwisetrainer name=\"WekaBaggingTraining\" param=\"BaggingRandomForest weka.classifiers.trees.RandomForest -CVPARAM I 5 25 5\" />\n");
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| 81 | configFile.append(" <setwisetrainer name=\"WekaBaggingTraining\" param=\"BaggingC4.5-DTree weka.classifiers.trees.J48 -CVPARAM C 0.1 0.3 5\" />\n");
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| 82 | configFile.append(" <setwisetrainer name=\"WekaBaggingTraining\" param=\"BaggingLogistic weka.classifiers.functions.Logistic\" />\n");
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| 83 | configFile.append(" <setwisetrainer name=\"WekaBaggingTraining\" param=\"BaggingNeuralNetwork weka.classifiers.functions.MultilayerPerceptron -CVPARAM M 1.5 2.5 3.0 L 0.2 0.4 3.0\" />\n");
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| 84 | configFile.append(" <setwisetrainer name=\"WekaBaggingTraining\" param=\"BaggingRBFNetwork weka.classifiers.functions.RBFNetwork -CVPARAM W 0.1 10.0 3.0 L 2.0 18.0 3.0\" />\n");
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| 85 | configFile.append(" <setwisetrainer name=\"WekaBaggingTraining\" param=\"BaggingSMORBF weka.classifiers.functions.SMO -K weka.classifiers.functions.supportVector.RBFKernel\" />\n");
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| 86 | }
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| 87 |
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| 88 | public static void trainersLocalWhere(StringBuilder configFile) {
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| 89 | configFile.append(" <trainer name=\"WekaLocalFQTraining\" param=\"LocalRandomForest weka.classifiers.trees.RandomForest -CVPARAM I 5 25 5\" />\n");
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| 90 | configFile.append(" <trainer name=\"WekaLocalFQTraining\" param=\"LocalC4.5-DTree weka.classifiers.trees.J48 -CVPARAM C 0.1 0.3 5\" />\n");
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| 91 | configFile.append(" <trainer name=\"WekaLocalFQTraining\" param=\"LocalLogistic weka.classifiers.functions.Logistic\" />\n");
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| 92 | configFile.append(" <trainer name=\"WekaLocalFQTraining\" param=\"LocalNeuralNetwork weka.classifiers.functions.MultilayerPerceptron -CVPARAM M 1.5 2.5 3.0 L 0.2 0.4 3.0\" />\n");
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| 93 | configFile.append(" <trainer name=\"WekaLocalFQTraining\" param=\"LocalRBFNetwork weka.classifiers.functions.RBFNetwork -CVPARAM W 0.1 10.0 3.0 L 2.0 18.0 3.0\" />\n");
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| 94 | configFile.append(" <trainer name=\"WekaLocalFQTraining\" param=\"LocalSMORBF weka.classifiers.functions.SMO -K weka.classifiers.functions.supportVector.RBFKernel\" />\n");
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| 95 | }
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| 96 |
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| 97 | public static void trainersLASER(StringBuilder configFile) {
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| 98 | configFile.append(" <trainer name=\"WekaLASERTraining\" param=\"LASERRandomForest weka.classifiers.trees.RandomForest -CVPARAM I 5 25 5\" />\n");
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| 99 | configFile.append(" <trainer name=\"WekaLASERTraining\" param=\"LASERC4.5-DTree weka.classifiers.trees.J48 -CVPARAM C 0.1 0.3 5\" />\n");
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| 100 | configFile.append(" <trainer name=\"WekaLASERTraining\" param=\"LASERLogistic weka.classifiers.functions.Logistic\" />\n");
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| 101 | configFile.append(" <trainer name=\"WekaLASERTraining\" param=\"LASERNeuralNetwork weka.classifiers.functions.MultilayerPerceptron -CVPARAM M 1.5 2.5 3.0 L 0.2 0.4 3.0\" />\n");
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| 102 | configFile.append(" <trainer name=\"WekaLASERTraining\" param=\"LASERRBFNetwork weka.classifiers.functions.RBFNetwork -CVPARAM W 0.1 10.0 3.0 L 2.0 18.0 3.0\" />\n");
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| 103 | configFile.append(" <trainer name=\"WekaLASERTraining\" param=\"LASERSMORBF weka.classifiers.functions.SMO -K weka.classifiers.functions.supportVector.RBFKernel\" />\n");
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| 104 | }
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| 105 |
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| 106 | public static void dataset(StringBuilder configFile, Dataset dataset) {
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| 107 | switch (dataset)
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| 108 | {
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| 109 | case MDP:
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| 110 | configFile.append(" <loader name=\"NasaARFFFolderLoader\" datalocation=\"exp-mdp/data\" relative=\"false\"/>\n");
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| 111 | configFile.append(" <resultsPath path=\"exp-mdp/results\"/>\n");
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| 112 | break;
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| 113 | case JURECZKO:
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| 114 | configFile.append(" <loader name=\"CSVFolderLoader\" datalocation=\"exp-java/data\" relative=\"false\"/>\n");
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| 115 | configFile.append(" <resultsPath path=\"exp-java/results\"/>\n");
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| 116 | break;
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| 117 | default:
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| 118 | throw new InvalidParameterException("Unknown data set: " + dataset.toString());
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| 119 | }
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| 120 | }
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| 121 |
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| 122 | public static String Koshgoftaar2008(Dataset dataset) {
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| 123 | StringBuilder configFile = new StringBuilder();
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| 124 | preamble(configFile);
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| 125 | dataset(configFile, dataset);
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| 126 | trainersBagging(configFile);
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| 127 |
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| 128 | configFile.append(" <eval name=\"NormalWekaEvaluation\" param=\"\" />\n");
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| 129 |
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| 130 | postamble(configFile);
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| 131 | return configFile.toString();
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| 132 | }
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| 133 |
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| 134 | public static String Watanabe2008(Dataset dataset) {
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| 135 | StringBuilder configFile = new StringBuilder();
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| 136 | preamble(configFile);
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| 137 | dataset(configFile, dataset);
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| 138 | trainers(configFile);
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| 139 |
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| 140 | configFile.append(" <setwisepreprocessor name=\"AverageStandardization\" param=\"\" />\n");
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| 141 | configFile.append(" <eval name=\"NormalWekaEvaluation\" param=\"\" />\n");
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| 142 |
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| 143 | postamble(configFile);
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| 144 | return configFile.toString();
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| 145 | }
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| 146 |
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| 147 | public static String Turhan2009(Dataset dataset) {
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| 148 | StringBuilder configFile = new StringBuilder();
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| 149 | preamble(configFile);
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| 150 | dataset(configFile, dataset);
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| 151 | trainers(configFile);
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| 152 |
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| 153 | configFile.append(" <preprocessor name=\"LogarithmTransform\" param=\"\" />\n");
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| 154 | configFile.append(" <pointwiseselector name=\"TurhanFilter\" param=\"10\" />\n");
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| 155 | configFile.append(" <eval name=\"NormalWekaEvaluation\" param=\"\" />\n");
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| 156 |
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| 157 | postamble(configFile);
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| 158 | return configFile.toString();
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| 159 | }
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| 160 |
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| 161 | public static String CamargoCruz2009(Dataset dataset) {
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| 162 | StringBuilder configFile = new StringBuilder();
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| 163 | preamble(configFile);
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| 164 | dataset(configFile, dataset);
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| 165 | trainers(configFile);
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| 166 |
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| 167 | configFile.append(" <preprocessor name=\"LogarithmTransform\" param=\"\" />\n");
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| 168 | configFile.append(" <preprocessor name=\"MedianAsReference\" param=\"10\" />\n");
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| 169 | configFile.append(" <eval name=\"NormalWekaEvaluation\" param=\"\" />\n");
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| 170 |
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| 171 | postamble(configFile);
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| 172 | return configFile.toString();
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| 173 | }
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| 174 |
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| 175 | // TODO Liu 2010
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| 176 |
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| 177 | public static String Menzies2011(Dataset dataset) {
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| 178 | StringBuilder configFile = new StringBuilder();
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| 179 | preamble(configFile);
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| 180 | dataset(configFile, dataset);
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| 181 |
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| 182 | trainersLocalWhere(configFile);
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| 183 | configFile.append(" <eval name=\"NormalWekaEvaluation\" param=\"\" />\n");
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| 184 |
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| 185 | postamble(configFile);
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| 186 | return configFile.toString();
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| 187 | }
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| 188 |
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| 189 | public static String Ma2012(Dataset dataset) {
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| 190 | StringBuilder configFile = new StringBuilder();
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| 191 | preamble(configFile);
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| 192 | dataset(configFile, dataset);
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| 193 | trainers(configFile);
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| 194 |
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| 195 | configFile.append(" <preprocessor name=\"DataGravitation\" param=\"\" />\n");
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| 196 | configFile.append(" <eval name=\"NormalWekaEvaluation\" param=\"\" />\n");
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| 197 |
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| 198 | postamble(configFile);
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| 199 | return configFile.toString();
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| 200 | }
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| 201 |
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| 202 | public static String Peters2012(Dataset dataset) {
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| 203 | StringBuilder configFile = new StringBuilder();
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| 204 | preamble(configFile);
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| 205 | dataset(configFile, dataset);
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| 206 | trainers(configFile);
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| 207 |
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| 208 | configFile.append(" <preprocessor name=\"MORPH\" param=\"\" />\n");
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| 209 | configFile.append(" <eval name=\"NormalWekaEvaluation\" param=\"\" />\n");
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| 210 |
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| 211 | postamble(configFile);
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| 212 | return configFile.toString();
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| 213 | }
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| 214 |
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| 215 | public static String Uchigaki2012(Dataset dataset) {
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| 216 | StringBuilder configFile = new StringBuilder();
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| 217 | preamble(configFile);
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| 218 | dataset(configFile, dataset);
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| 219 |
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| 220 | configFile.append(" <preprocessor name=\"ZScoreNormalization\" param=\"\" />");
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| 221 | configFile.append(" <trainer name=\"WekaTraining\" param=\"LogisticEnsemble de.ugoe.cs.cpdp.wekaclassifier.LogisticEnsemble\" />\n");
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| 222 | configFile.append(" <eval name=\"NormalWekaEvaluation\" param=\"\" />\n");
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| 223 |
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| 224 | postamble(configFile);
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| 225 | return configFile.toString();
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| 226 | }
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| 227 |
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| 228 | // TODO Canfora 2013 (MODEP)
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| 229 |
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| 230 | public static String Peters2013(Dataset dataset) {
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| 231 | StringBuilder configFile = new StringBuilder();
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| 232 | preamble(configFile);
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| 233 | dataset(configFile, dataset);
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| 234 | trainers(configFile);
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| 235 |
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| 236 | configFile.append(" <preprocessor name=\"MORPH\" param=\"\" />\n");
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| 237 | configFile.append(" <pointwiseselector name=\"CLIFF\" param=\"0.10\" />");
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| 238 | configFile.append(" <eval name=\"NormalWekaEvaluation\" param=\"\" />\n");
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| 239 |
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| 240 | postamble(configFile);
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| 241 | return configFile.toString();
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| 242 | }
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| 243 |
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| 244 | public static String Herbold2013(Dataset dataset) {
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| 245 | StringBuilder configFile = new StringBuilder();
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| 246 | preamble(configFile);
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| 247 | dataset(configFile, dataset);
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| 248 | trainers(configFile);
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| 249 |
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| 250 | configFile.append(" <setwisepreprocessor name=\"Normalization\" param=\"\" />\n");
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| 251 | configFile.append(" <setwiseselector name=\"SetWiseEMClusterSelection\" param=\"mean stddev\" />\n");
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| 252 | configFile.append(" <postprocessor name=\"BiasedWeights\" param=\"0.5\" />\n");
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| 253 | configFile.append(" <eval name=\"NormalWekaEvaluation\" param=\"\" />\n");
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| 254 |
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| 255 | postamble(configFile);
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| 256 | return configFile.toString();
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| 257 | }
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| 258 |
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| 259 | public static String ZHe2013(Dataset dataset) {
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| 260 | StringBuilder configFile = new StringBuilder();
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| 261 | preamble(configFile);
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| 262 | dataset(configFile, dataset);
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| 263 | trainersBagging(configFile);
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| 264 |
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| 265 | configFile.append(" <setwisepreprocessor name=\"Normalization\" param=\"\" />\n");
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| 266 | configFile.append(" <setwiseselector name=\"SeparatabilitySelection\" param=\"\" />\n");
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| 267 | configFile.append(" <setwisepostprocessor name=\"Undersampling\" param=\"\" />\n");
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| 268 | configFile.append(" <eval name=\"NormalWekaEvaluation\" param=\"\" />\n");
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| 269 |
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| 270 | postamble(configFile);
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| 271 | return configFile.toString();
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| 272 | }
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| 273 |
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| 274 | public static String Nam2013(Dataset dataset) {
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| 275 | StringBuilder configFile = new StringBuilder();
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| 276 | preamble(configFile);
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| 277 | dataset(configFile, dataset);
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| 278 | trainers(configFile);
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| 279 |
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| 280 | configFile.append(" <preprocessor name=\"TCAPlusNormalization\" param=\"\" />\n");
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| 281 | configFile.append(" <postprocessor name=\"TransferComponentAnalysis\" param=\"\" />\n");
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| 282 | configFile.append(" <eval name=\"NormalWekaEvaluation\" param=\"\" />\n");
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| 283 |
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| 284 | postamble(configFile);
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| 285 | return configFile.toString();
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| 286 | }
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| 287 |
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| 288 | public static String Panichella2014(Dataset dataset) {
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| 289 | StringBuilder configFile = new StringBuilder();
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| 290 | preamble(configFile);
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| 291 | dataset(configFile, dataset);
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| 292 |
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| 293 | configFile.append(" <trainer name=\"WekaTraining\" param=\"LogisticCODEP de.ugoe.cs.cpdp.wekaclassifier.LogisticCODEP\" />\n");
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| 294 | configFile.append(" <trainer name=\"WekaTraining\" param=\"BayesNetCODEP de.ugoe.cs.cpdp.wekaclassifier.BayesNetCODEP\" />\n");
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| 295 | configFile.append(" <eval name=\"NormalWekaEvaluation\" param=\"\" />\n");
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| 296 |
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| 297 | postamble(configFile);
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| 298 | return configFile.toString();
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| 299 | }
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| 300 |
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| 301 | // TODO F.Zhang 2014
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| 302 |
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| 303 | // TODO Mizuno 2014: data not public
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| 304 |
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| 305 | // TODO Ryu 2014
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| 306 |
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| 307 | public static String PHe2015(Dataset dataset) {
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| 308 | StringBuilder configFile = new StringBuilder();
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| 309 | preamble(configFile);
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| 310 | dataset(configFile, dataset);
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| 311 | trainers(configFile);
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| 312 |
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| 313 | configFile.append(" <setwisepreprocessor name=\"LogarithmTransform\" param=\"\" />\n");
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| 314 | configFile.append(" <setwisepreprocessor name=\"TopMetricFilter\" param=\"\" />\n");
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| 315 | configFile.append(" <eval name=\"NormalWekaEvaluation\" param=\"\" />\n");
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| 316 |
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| 317 | postamble(configFile);
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| 318 | return configFile.toString();
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| 319 | }
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| 320 |
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| 321 | // TODO Peters 2015 (LACE2)
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| 322 |
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| 323 | // TODO Chen 2015
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| 324 |
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| 325 | public static String Kawata2015(Dataset dataset) {
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| 326 | StringBuilder configFile = new StringBuilder();
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| 327 | preamble(configFile);
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| 328 | dataset(configFile, dataset);
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| 329 | trainers(configFile);
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| 330 |
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| 331 | configFile.append(" <pointwiseselector name=\"DBSCANFilter\" param=\"\" />\n");
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| 332 | configFile.append(" <eval name=\"NormalWekaEvaluation\" param=\"\" />\n");
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| 333 |
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| 334 | postamble(configFile);
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| 335 | return configFile.toString();
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| 336 | }
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| 337 |
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| 338 | public static String YZhang2015(Dataset dataset) {
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| 339 | StringBuilder configFile = new StringBuilder();
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| 340 | preamble(configFile);
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| 341 | dataset(configFile, dataset);
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| 342 |
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| 343 | configFile.append(" <trainer name=\"WekaTraining\" param=\"AVGVote weka.classifiers.meta.Vote -S 1 -B "weka.classifiers.trees.ADTree" -B "weka.classifiers.rules.DecisionTable" -B "weka.classifiers.bayes.BayesNet" -B "weka.classifiers.functions.MultilayerPerceptron" -B "weka.classifiers.functions.RBFNetwork" -R AVG\" />\n");
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| 344 | configFile.append(" <trainer name=\"WekaTraining\" param=\"MAXVote weka.classifiers.meta.Vote -S 1 -B "weka.classifiers.trees.ADTree" -B "weka.classifiers.rules.DecisionTable" -B "weka.classifiers.bayes.BayesNet" -B "weka.classifiers.functions.MultilayerPerceptron" -B "weka.classifiers.functions.RBFNetwork" -R MAX\" />\n");
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| 345 | configFile.append(" <trainer name=\"WekaTraining\" param=\"BAGGINGC4.5 weka.classifiers.meta.Bagging -P 100 -S 1 -I 10 -W weka.classifiers.trees.J48\" />\n");
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| 346 | configFile.append(" <trainer name=\"WekaTraining\" param=\"BAGGINGNaiveBayes weka.classifiers.meta.Bagging -P 100 -S 1 -I 10 -W weka.classifiers.bayes.NaiveBayes\" />\n");
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| 347 | configFile.append(" <trainer name=\"WekaTraining\" param=\"BOOSTINGC4.5 weka.classifiers.meta.AdaBoostM1 -P 100 -S 1 -I 10 -W weka.classifiers.trees.J48\" />\n");
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| 348 | configFile.append(" <trainer name=\"WekaTraining\" param=\"BOOSTINGNaiveBayes weka.classifiers.meta.AdaBoostM1 -P 100 -S 1 -I 10 -W weka.classifiers.bayes.NaiveBayes\" />\n");
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| 349 | configFile.append(" <eval name=\"NormalWekaEvaluation\" param=\"\" />\n");
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| 350 |
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| 351 | postamble(configFile);
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| 352 | return configFile.toString();
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| 353 | }
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| 354 |
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| 355 | public static String Amasaki2015(Dataset dataset) {
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| 356 | StringBuilder configFile = new StringBuilder();
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| 357 | preamble(configFile);
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| 358 | dataset(configFile, dataset);
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| 359 | trainers(configFile);
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| 360 |
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| 361 | configFile.append(" <preprocessor name=\"LogarithmTransform\" param=\"\" />\n");
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| 362 | configFile.append(" <preprocessor name=\"SynonymAttributePruning\" param=\"\" />\n");
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| 363 | configFile.append(" <pointwiseselector name=\"SynonymOutlierRemoval\" param=\"\" />");
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| 364 | configFile.append(" <eval name=\"NormalWekaEvaluation\" param=\"\" />\n");
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| 365 |
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| 366 | postamble(configFile);
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| 367 | return configFile.toString();
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| 368 | }
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| 369 |
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| 370 | // TODO Amasaki 2015
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| 371 |
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| 372 | // TODO Ryu 2015a
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| 373 |
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| 374 | public static String Ryu2015b(Dataset dataset) {
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| 375 | StringBuilder configFile = new StringBuilder();
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| 376 | preamble(configFile);
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| 377 | dataset(configFile, dataset);
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| 378 | trainersLASER(configFile);
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| 379 |
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| 380 | configFile.append(" <pointwiseselector name=\"MahalanobisOutlierRemoval\" param=\"\" />\n");
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| 381 | configFile.append(" <pointwiseselector name=\"NeighborhoodFilter\" param=\"\" />\n");
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| 382 | configFile.append(" <eval name=\"NormalWekaEvaluation\" param=\"\" />\n");
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| 383 |
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| 384 | postamble(configFile);
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| 385 | return configFile.toString();
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| 386 | }
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| 387 |
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| 388 | // TODO Cao 2015
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| 389 |
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| 390 | public static String Nam2015b(Dataset dataset) {
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| 391 | StringBuilder configFile = new StringBuilder();
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| 392 | preamble(configFile);
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| 393 | dataset(configFile, dataset);
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| 394 | trainers(configFile);
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| 395 |
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| 396 | configFile.append(" <preprocessor name=\"CLAMIProcessor\" param=\"\" />\n");
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| 397 | configFile.append(" <eval name=\"NormalWekaEvaluation\" param=\"\" />\n");
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| 398 |
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| 399 | postamble(configFile);
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| 400 | return configFile.toString();
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| 401 | }
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| 402 | }
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