[4] | 1 | # Customises the list of options given by the GenericObjectEditor |
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| 2 | # for various superclasses. |
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| 3 | # |
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| 4 | # Version: $Revision: 5837 $ |
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| 5 | |
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| 6 | # Whether to use the dynamic approach or not (true|false). In case of |
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| 7 | # "false" the old GenericObjectEditor.props file is used: |
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| 8 | UseDynamic=true |
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| 9 | |
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| 10 | # Lists the ResultProducers-Packages I want to choose from |
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| 11 | weka.experiment.ResultProducer=\ |
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| 12 | weka.experiment |
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| 13 | |
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| 14 | # Lists the ResultListeners-Packages I want to choose from |
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| 15 | weka.experiment.ResultListener=\ |
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| 16 | weka.experiment |
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| 17 | |
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| 18 | # Lists the SplitEvaluators-Packages I want to choose from |
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| 19 | weka.experiment.SplitEvaluator=\ |
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| 20 | weka.experiment |
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| 21 | |
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| 22 | # Lists the Classifiers-Packages I want to choose from |
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| 23 | weka.classifiers.Classifier=\ |
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| 24 | weka.classifiers.bayes,\ |
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| 25 | weka.classifiers.functions,\ |
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| 26 | weka.classifiers.lazy,\ |
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| 27 | weka.classifiers.meta,\ |
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| 28 | weka.classifiers.meta.nestedDichotomies,\ |
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| 29 | weka.classifiers.mi,\ |
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| 30 | weka.classifiers.misc,\ |
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| 31 | weka.classifiers.scripting,\ |
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| 32 | weka.classifiers.trees,\ |
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| 33 | weka.classifiers.rules |
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| 34 | |
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| 35 | # Lists the AbstractClassificationOutput-packages I want to choose from |
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| 36 | weka.classifiers.evaluation.output.prediction.AbstractOutput=\ |
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| 37 | weka.classifiers.evaluation.output.prediction |
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| 38 | |
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| 39 | # Lists the Filters-Packages I want to choose from |
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| 40 | weka.filters.Filter= \ |
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| 41 | weka.filters, \ |
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| 42 | weka.filters.supervised.attribute, \ |
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| 43 | weka.filters.supervised.instance, \ |
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| 44 | weka.filters.unsupervised.attribute, \ |
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| 45 | weka.filters.unsupervised.instance |
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| 46 | |
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| 47 | # Lists the UnsupervisedFilters-Packages I want to choose from |
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| 48 | weka.filters.UnsupervisedFilter = \ |
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| 49 | weka.filters.unsupervised.attribute, \ |
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| 50 | weka.filters.unsupervised.instance |
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| 51 | |
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| 52 | # Lists the Attribute Selection Evaluators-Packages I want to choose from |
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| 53 | weka.attributeSelection.ASEvaluation = \ |
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| 54 | weka.attributeSelection |
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| 55 | |
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| 56 | # Lists the Attribute Selection Search methods-Packages I want to choose from |
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| 57 | weka.attributeSelection.ASSearch = \ |
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| 58 | weka.attributeSelection |
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| 59 | |
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| 60 | # Lists the Associators-Packages I want to choose from |
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| 61 | weka.associations.Associator=\ |
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| 62 | weka.associations |
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| 63 | |
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| 64 | # Lists the Clusterers-Packages I want to choose from |
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| 65 | weka.clusterers.Clusterer=\ |
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| 66 | weka.clusterers |
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| 67 | |
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| 68 | # Lists the DensityBasedClusterers I want to choose from |
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| 69 | weka.clusterers.DensityBasedClusterer=\ |
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| 70 | weka.clusterers |
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| 71 | |
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| 72 | # Lists the Loaders-Packages I want to choose from |
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| 73 | weka.core.converters.Loader=\ |
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| 74 | weka.core.converters |
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| 75 | |
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| 76 | # Lists the Savers-Packages I want to choose from |
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| 77 | weka.core.converters.Saver=\ |
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| 78 | weka.core.converters |
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| 79 | |
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| 80 | # Lists the search algorithms for nearest neighbour search |
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| 81 | weka.core.neighboursearch.NearestNeighbourSearch =\ |
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| 82 | weka.core.neighboursearch |
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| 83 | |
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| 84 | # Lists the ball tree constructors |
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| 85 | weka.core.neighboursearch.balltrees.BallTreeConstructor =\ |
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| 86 | weka.core.neighboursearch.balltrees |
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| 87 | |
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| 88 | # Lists the ball splitters |
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| 89 | weka.core.neighboursearch.balltrees.BallSplitter =\ |
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| 90 | weka.core.neighboursearch.balltrees |
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| 91 | |
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| 92 | # Lists the kd tree splitters |
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| 93 | weka.core.neighboursearch.kdtrees.KDTreeNodeSplitter =\ |
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| 94 | weka.core.neighboursearch.kdtrees |
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| 95 | |
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| 96 | # Lists the distance functions for use nearest neighbour search |
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| 97 | weka.core.DistanceFunction =\ |
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| 98 | weka.core |
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| 99 | |
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| 100 | # Lists the Search algorithm for Bayes net structure learning-Packages I want to choose from |
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| 101 | weka.classifiers.bayes.net.search.SearchAlgorithm=\ |
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| 102 | weka.classifiers.bayes.net.search.local, \ |
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| 103 | weka.classifiers.bayes.net.search.ci, \ |
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| 104 | weka.classifiers.bayes.net.search.global, \ |
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| 105 | weka.classifiers.bayes.net.search.fixed |
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| 106 | |
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| 107 | weka.classifiers.bayes.net.estimate.BayesNetEstimator =\ |
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| 108 | weka.classifiers.bayes.net.estimate |
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| 109 | |
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| 110 | # Lists the DataGenerator Algorithms-Packages |
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| 111 | weka.datagenerators.DataGenerator=\ |
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| 112 | weka.datagenerators.classifiers.classification,\ |
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| 113 | weka.datagenerators.classifiers.regression,\ |
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| 114 | weka.datagenerators.clusterers |
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| 115 | |
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| 116 | # Lists the packages where to find ClusterDefinition |
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| 117 | weka.datagenerators.ClusterDefinition=\ |
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| 118 | weka.datagenerators,\ |
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| 119 | weka.datagenerators.clusterers |
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| 120 | |
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| 121 | # List of stemmers |
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| 122 | weka.core.stemmers.Stemmer=\ |
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| 123 | weka.core.stemmers |
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| 124 | |
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| 125 | # Lists the Estimator-Packages I want to choose from |
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| 126 | weka.estimators.Estimator= \ |
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| 127 | weka.estimators |
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| 128 | |
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| 129 | # Lists of Kernels I want to choose from |
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| 130 | weka.classifiers.functions.supportVector.Kernel=\ |
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| 131 | weka.classifiers.functions.supportVector,\ |
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| 132 | weka.classifiers.mi.supportVector |
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| 133 | |
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| 134 | # List of SVMreg learning algorithms |
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| 135 | weka.classifiers.functions.supportVector.RegOptimizer=\ |
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| 136 | weka.classifiers.functions.supportVector |
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| 137 | |
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| 138 | # List of tokenizers |
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| 139 | weka.core.tokenizers.Tokenizer=\ |
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| 140 | weka.core.tokenizers |
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| 141 | |
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| 142 | # List of extensions for the main GUI, package "weka.gui" is not allowed |
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| 143 | weka.gui.MainMenuExtension= |
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| 144 | |
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| 145 | # List of Explorer visualization plugins (classification panel) |
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| 146 | weka.gui.visualize.plugins.VisualizePlugin=\ |
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| 147 | weka.gui.visualize.plugins |
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| 148 | |
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| 149 | # List of Explorer tree visualization plugins (classification panel) |
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| 150 | weka.gui.visualize.plugins.TreeVisualizePlugin=\ |
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| 151 | weka.gui.visualize.plugins |
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| 152 | |
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| 153 | # List of Explorer graph visualization plugins (classification panel) |
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| 154 | weka.gui.visualize.plugins.GraphVisualizePlugin=\ |
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| 155 | weka.gui.visualize.plugins |
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| 156 | |
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| 157 | # List of Explorer error visualization plugins (classification panel) |
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| 158 | weka.gui.visualize.plugins.ErrorVisualizePlugin=\ |
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| 159 | weka.gui.visualize.plugins |
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| 160 | |
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| 161 | # List of writers for outputting graphics |
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| 162 | weka.gui.visualize.JComponentWriter=\ |
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| 163 | weka.gui.visualize |
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| 164 | |
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| 165 | # List of Experimenter result matrices |
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| 166 | weka.experiment.ResultMatrix=\ |
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| 167 | weka.experiment |
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| 168 | |
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| 169 | # List of Tester algorithms in the Experimenter |
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| 170 | weka.experiment.Tester=\ |
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| 171 | weka.experiment |
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| 172 | |
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| 173 | # List of file loaders |
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| 174 | weka.core.converters.AbstractFileLoader=\ |
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| 175 | weka.core.converters |
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| 176 | |
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| 177 | # List of file savers |
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| 178 | weka.core.converters.AbstractFileSaver=\ |
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| 179 | weka.core.converters |
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| 180 | |
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| 181 | # List of snowball stemmers. |
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| 182 | # |
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| 183 | # Note: the snowball jar needs to be in the CLASSPATH to make these stemmers |
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| 184 | # available. See the following links for more information: |
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| 185 | # http://weka.wikispaces.com/Stemmers |
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| 186 | # http://snowball.tartarus.org/ |
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| 187 | # |
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| 188 | #org.tartarus.snowball.SnowballProgram=\ |
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| 189 | # org.tartarus.snowball.ext |
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| 190 | |
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| 191 | # List of generators |
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| 192 | weka.classifiers.meta.generators.Generator=\ |
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| 193 | weka.classifiers.meta.generators |
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| 194 | |
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| 195 | weka.classifiers.meta.generators.NumericAttributeGenerator=\ |
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| 196 | weka.classifiers.meta.generators |
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| 197 | |
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| 198 | weka.classifiers.meta.generators.NominalAttributeGenerator=\ |
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| 199 | weka.classifiers.meta.generators |
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