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 | * SplitEvaluator.java |
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19 | * Copyright (C) 1999 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 | |
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24 | package weka.experiment; |
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25 | |
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26 | import weka.core.Instances; |
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27 | import java.io.Serializable; |
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28 | |
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29 | /** |
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30 | * Interface to objects able to generate a fixed set of results for |
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31 | * a particular split of a dataset. The set of results should contain |
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32 | * fields related to any settings of the SplitEvaluator (not including |
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33 | * the dataset name. For example, one field for the classifier used to |
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34 | * get the results, another for the classifier options, etc). <p> |
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35 | * |
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36 | * Possible implementations of SplitEvaluator: <br> |
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37 | * <ul> |
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38 | * <li>StdClassification results |
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39 | * <li>StdRegression results |
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40 | * </ul> |
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41 | * |
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42 | * @author Len Trigg (trigg@cs.waikato.ac.nz) |
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43 | * @version $Revision: 1.7 $ |
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44 | */ |
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45 | public interface SplitEvaluator extends Serializable { |
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46 | |
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47 | /** |
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48 | * Sets a list of method names for additional measures to look for |
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49 | * in SplitEvaluators. |
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50 | * @param additionalMeasures a list of method names |
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51 | */ |
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52 | void setAdditionalMeasures(String [] additionalMeasures); |
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53 | |
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54 | /** |
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55 | * Gets the names of each of the key columns produced for a single run. |
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56 | * The names should not contain spaces (use '_' instead for easy |
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57 | * translation.) The number of key fields must be constant for a given |
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58 | * SplitEvaluator. |
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59 | * |
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60 | * @return an array containing the name of each key column |
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61 | */ |
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62 | String [] getKeyNames(); |
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63 | |
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64 | /** |
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65 | * Gets the data types of each of the key columns produced for a single run. |
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66 | * The number of key fields must be constant |
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67 | * for a given SplitEvaluator. |
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68 | * |
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69 | * @return an array containing objects of the type of each key column. The |
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70 | * objects should be Strings, or Doubles. |
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71 | */ |
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72 | Object [] getKeyTypes(); |
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73 | |
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74 | /** |
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75 | * Gets the names of each of the result columns produced for a single run. |
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76 | * The names should not contain spaces (use '_' instead for easy |
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77 | * translation.) The number of result fields must be constant |
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78 | * for a given SplitEvaluator. |
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79 | * |
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80 | * @return an array containing the name of each result column |
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81 | */ |
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82 | String [] getResultNames(); |
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83 | |
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84 | /** |
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85 | * Gets the data types of each of the result columns produced for a |
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86 | * single run. The number of result fields must be constant |
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87 | * for a given SplitEvaluator. |
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88 | * |
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89 | * @return an array containing objects of the type of each result column. |
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90 | * The objects should be Strings, or Doubles. |
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91 | */ |
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92 | Object [] getResultTypes(); |
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93 | |
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94 | /** |
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95 | * Gets the key describing the current SplitEvaluator. For example |
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96 | * This may contain the name of the classifier used for classifier |
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97 | * predictive evaluation. The number of key fields must be constant |
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98 | * for a given SplitEvaluator. |
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99 | * |
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100 | * @return a value of type 'Object' |
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101 | */ |
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102 | Object [] getKey(); |
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103 | |
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104 | /** |
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105 | * Gets the results for the supplied train and test datasets. |
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106 | * |
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107 | * @param train the training Instances. |
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108 | * @param test the testing Instances. |
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109 | * @return the results stored in an array. The objects stored in |
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110 | * the array may be Strings, Doubles, or null (for the missing value). |
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111 | * @exception Exception if a problem occurs while getting the results |
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112 | */ |
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113 | Object [] getResult(Instances train, Instances test) throws Exception; |
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114 | |
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115 | /** |
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116 | * Returns the raw output for the most recent call to getResult. Useful |
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117 | * for debugging splitEvaluators. |
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118 | * |
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119 | * @return the raw output corresponding to the most recent call |
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120 | * to getResut |
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121 | */ |
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122 | String getRawResultOutput(); |
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123 | |
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124 | } // SplitEvaluator |
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125 | |
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126 | |
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127 | |
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128 | |
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129 | |
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