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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