1 | #region License Information
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2 | /* HeuristicLab
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3 | * Copyright (C) 2002-2008 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
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4 | *
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5 | * This file is part of HeuristicLab.
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6 | *
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7 | * HeuristicLab is free software: you can redistribute it and/or modify
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8 | * it under the terms of the GNU General Public License as published by
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9 | * the Free Software Foundation, either version 3 of the License, or
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10 | * (at your option) any later version.
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11 | *
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12 | * HeuristicLab is distributed in the hope that it will be useful,
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13 | * but WITHOUT ANY WARRANTY; without even the implied warranty of
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14 | * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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15 | * GNU General Public License for more details.
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16 | *
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17 | * You should have received a copy of the GNU General Public License
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18 | * along with HeuristicLab. If not, see <http://www.gnu.org/licenses/>.
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19 | */
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20 | #endregion
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21 |
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22 | using HeuristicLab.Core;
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23 | using HeuristicLab.DataAnalysis;
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24 | using HeuristicLab.GP.Interfaces;
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25 | using HeuristicLab.Operators;
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26 | using HeuristicLab.Modeling;
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27 | using HeuristicLab.Logging;
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28 | using HeuristicLab.Selection;
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29 | using HeuristicLab.Data;
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30 |
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31 | namespace HeuristicLab.GP.StructureIdentification {
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32 | public static class DefaultStructureIdentificationOperators {
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33 | public static IOperator CreateFunctionLibraryInjector() {
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34 | CombinedOperator op = new CombinedOperator();
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35 | op.Name = "FunctionLibraryInjector";
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36 | SequentialProcessor seq = new SequentialProcessor();
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37 | seq.AddSubOperator(new FunctionLibraryInjector());
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38 | seq.AddSubOperator(new HL3TreeEvaluatorInjector());
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39 | op.OperatorGraph.AddOperator(seq);
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40 | op.OperatorGraph.InitialOperator = seq;
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41 | return op;
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42 | }
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43 |
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44 | public static IOperator CreateInitialPopulationEvaluator() {
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45 | MeanSquaredErrorEvaluator eval = new MeanSquaredErrorEvaluator();
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46 | eval.Name = "Evaluator";
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47 | eval.GetVariableInfo("MSE").ActualName = "Quality";
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48 | eval.GetVariableInfo("SamplesStart").ActualName = "ActualTrainingSamplesStart";
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49 | eval.GetVariableInfo("SamplesEnd").ActualName = "ActualTrainingSamplesEnd";
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50 | return eval;
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51 | }
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52 |
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53 | public static IOperator CreateEvaluator() {
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54 | return CreateInitialPopulationEvaluator();
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55 | }
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56 |
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57 | public static IOperator CreateGenerationStepHook() {
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58 | CombinedOperator op = new CombinedOperator();
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59 | SequentialProcessor seq = new SequentialProcessor();
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60 | UniformSequentialSubScopesProcessor subScopesProc = new UniformSequentialSubScopesProcessor();
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61 | SequentialProcessor individualProc = new SequentialProcessor();
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62 | MeanSquaredErrorEvaluator validationEvaluator = new MeanSquaredErrorEvaluator();
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63 | validationEvaluator.Name = "ValidationEvaluator";
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64 | validationEvaluator.GetVariableInfo("MSE").ActualName = "ValidationQuality";
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65 | validationEvaluator.GetVariableInfo("SamplesStart").ActualName = "ValidationSamplesStart";
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66 | validationEvaluator.GetVariableInfo("SamplesEnd").ActualName = "ValidationSamplesEnd";
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67 |
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68 | individualProc.AddSubOperator(validationEvaluator);
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69 |
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70 | BestSolutionStorer solutionStorer = new BestSolutionStorer();
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71 | solutionStorer.GetVariableInfo("BestSolution").ActualName = "BestValidationSolution";
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72 | solutionStorer.GetVariableInfo("Quality").ActualName = "ValidationQuality";
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73 |
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74 | OperatorExtractor bestSolutionProcessor = new OperatorExtractor();
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75 | bestSolutionProcessor.Name = "BestSolutionProcessor (extr.)";
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76 | bestSolutionProcessor.GetVariableInfo("Operator").ActualName = "BestSolutionProcessor";
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77 |
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78 | solutionStorer.AddSubOperator(bestSolutionProcessor);
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79 |
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80 | BestAverageWorstQualityCalculator validationQualityCalculator = new BestAverageWorstQualityCalculator();
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81 | validationQualityCalculator.Name = "BestAverageWorstValidationQualityCalculator";
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82 | validationQualityCalculator.GetVariableInfo("Quality").ActualName = "ValidationQuality";
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83 | validationQualityCalculator.GetVariableInfo("BestQuality").ActualName = "BestValidationQuality";
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84 | validationQualityCalculator.GetVariableInfo("AverageQuality").ActualName = "AverageValidationQuality";
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85 | validationQualityCalculator.GetVariableInfo("WorstQuality").ActualName = "WorstValidationQuality";
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86 |
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87 | subScopesProc.AddSubOperator(individualProc);
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88 |
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89 | seq.AddSubOperator(subScopesProc);
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90 | seq.AddSubOperator(solutionStorer);
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91 | seq.AddSubOperator(validationQualityCalculator);
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92 |
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93 | op.OperatorGraph.AddOperator(seq);
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94 | op.OperatorGraph.InitialOperator = seq;
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95 | return op;
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96 | }
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97 |
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98 |
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99 | public static IOperator CreatePreparationForPostProcessingOperator() {
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100 | SequentialProcessor seq = new SequentialProcessor();
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101 | LeftReducer cleanUp = new LeftReducer();
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102 | cleanUp.Name = "Reset Population";
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103 | seq.AddSubOperator(cleanUp);
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104 |
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105 | SolutionExtractor extractor = new SolutionExtractor();
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106 | extractor.GetVariableInfo("Scope").ActualName = "BestValidationSolution";
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107 | SequentialSubScopesProcessor seqSubScopeProc = new SequentialSubScopesProcessor();
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108 | SequentialProcessor solutionProc = new SequentialProcessor();
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109 |
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110 | seq.AddSubOperator(extractor);
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111 | seq.AddSubOperator(seqSubScopeProc);
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112 | seqSubScopeProc.AddSubOperator(solutionProc);
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113 |
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114 | HL3TreeEvaluatorInjector evaluatorInjector = new HL3TreeEvaluatorInjector();
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115 | evaluatorInjector.AddVariable(new HeuristicLab.Core.Variable("PunishmentFactor", new DoubleData(1000.0)));
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116 | evaluatorInjector.GetVariableInfo("TreeEvaluator").ActualName = "ModelAnalysisTreeEvaluator";
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117 |
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118 | #region simple evaluators
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119 | SimpleEvaluator trainingEvaluator = new SimpleEvaluator();
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120 | trainingEvaluator.Name = "TrainingEvaluator";
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121 | trainingEvaluator.GetVariableInfo("SamplesStart").ActualName = "TrainingSamplesStart";
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122 | trainingEvaluator.GetVariableInfo("SamplesEnd").ActualName = "TrainingSamplesEnd";
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123 | trainingEvaluator.GetVariableInfo("Values").ActualName = "TrainingValues";
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124 | trainingEvaluator.GetVariableInfo("TreeEvaluator").ActualName = "ModelAnalysisTreeEvaluator";
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125 | SimpleEvaluator validationEvaluator = new SimpleEvaluator();
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126 | validationEvaluator.Name = "ValidationEvaluator";
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127 | validationEvaluator.GetVariableInfo("SamplesStart").ActualName = "ValidationSamplesStart";
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128 | validationEvaluator.GetVariableInfo("SamplesEnd").ActualName = "ValidationSamplesEnd";
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129 | validationEvaluator.GetVariableInfo("Values").ActualName = "ValidationValues";
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130 | validationEvaluator.GetVariableInfo("TreeEvaluator").ActualName = "ModelAnalysisTreeEvaluator";
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131 | SimpleEvaluator testEvaluator = new SimpleEvaluator();
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132 | testEvaluator.Name = "TestEvaluator";
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133 | testEvaluator.GetVariableInfo("SamplesStart").ActualName = "TestSamplesStart";
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134 | testEvaluator.GetVariableInfo("SamplesEnd").ActualName = "TestSamplesEnd";
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135 | testEvaluator.GetVariableInfo("Values").ActualName = "TestValues";
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136 | testEvaluator.GetVariableInfo("TreeEvaluator").ActualName = "ModelAnalysisTreeEvaluator";
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137 | solutionProc.AddSubOperator(evaluatorInjector);
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138 | solutionProc.AddSubOperator(trainingEvaluator);
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139 | solutionProc.AddSubOperator(validationEvaluator);
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140 | solutionProc.AddSubOperator(testEvaluator);
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141 | #endregion
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142 |
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143 | #region variable impacts
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144 | // calculate and set variable impacts
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145 | VariableNamesExtractor namesExtractor = new VariableNamesExtractor();
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146 | namesExtractor.GetVariableInfo("VariableNames").ActualName = "InputVariableNames";
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147 | PredictorBuilder predictorBuilder = new PredictorBuilder();
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148 | predictorBuilder.GetVariableInfo("TreeEvaluator").ActualName = "ModelAnalysisTreeEvaluator";
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149 |
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150 | solutionProc.AddSubOperator(namesExtractor);
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151 | solutionProc.AddSubOperator(predictorBuilder);
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152 | #endregion
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153 |
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154 | return seq;
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155 | }
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156 |
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157 | public static void PopulateAnalyzerModel(IScope bestModelScope, IAnalyzerModel model) {
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158 | model.SetMetaData("EvaluatedSolutions", bestModelScope.GetVariableValue<IntData>("EvaluatedSolutions", false).Data);
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159 | IGeneticProgrammingModel gpModel = bestModelScope.GetVariableValue<IGeneticProgrammingModel>("FunctionTree", false);
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160 | model.SetMetaData("TreeSize", gpModel.Size);
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161 | model.SetMetaData("TreeHeight", gpModel.Height);
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162 | }
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163 | }
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164 | }
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