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 System;
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23 | using System.Linq;
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24 | using System.Collections.Generic;
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25 | using HeuristicLab.Core;
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26 | using HeuristicLab.Data;
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27 | using HeuristicLab.Evolutionary;
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28 | using HeuristicLab.Logging;
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29 | using HeuristicLab.Operators;
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30 | using HeuristicLab.Selection;
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31 | using HeuristicLab.Selection.OffspringSelection;
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32 | using HeuristicLab.Modeling;
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33 | using HeuristicLab.DataAnalysis;
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34 | using HeuristicLab.Operators.Programmable;
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35 | using HeuristicLab.GP.Algorithms;
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36 |
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37 | namespace HeuristicLab.GP.StructureIdentification {
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38 | public class OffspringSelectionGPRegression : HeuristicLab.GP.Algorithms.OffspringSelectionGP, IStochasticAlgorithm {
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39 | public override string Name { get { return "OffspringSelectionGP - StructureIdentification"; } }
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40 |
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41 | public virtual string TargetVariable {
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42 | get { return ProblemInjector.GetVariableValue<StringData>("TargetVariable", null, false).Data; }
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43 | set { ProblemInjector.GetVariableValue<StringData>("TargetVariable", null, false).Data = value; }
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44 | }
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45 |
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46 | public virtual Dataset Dataset {
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47 | get { return ProblemInjector.GetVariableValue<Dataset>("Dataset", null, false); }
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48 | set { ProblemInjector.GetVariable("Dataset").Value = value; }
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49 | }
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50 |
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51 | public virtual IAnalyzerModel Model {
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52 | get {
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53 | if (!Engine.Terminated)
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54 | throw new InvalidOperationException("The algorithm is still running. Wait until the algorithm is terminated to retrieve the result.");
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55 | else
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56 | return CreateGPModel();
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57 | }
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58 | }
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59 | public IEnumerable<string> AllowedVariables {
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60 | get {
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61 | ItemList<StringData> allowedVariables = ProblemInjector.GetVariableValue<ItemList<StringData>>("AllowedFeatures", null, false);
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62 | return allowedVariables.Select(x => x.Data);
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63 | }
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64 | set {
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65 | ItemList<StringData> allowedVariables = ProblemInjector.GetVariableValue<ItemList<StringData>>("AllowedFeatures", null, false);
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66 | foreach (string x in value) allowedVariables.Add(new StringData(x));
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67 | }
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68 | }
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69 |
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70 | public int TrainingSamplesStart {
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71 | get { return ProblemInjector.GetVariableValue<IntData>("TrainingSamplesStart", null, false).Data; }
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72 | set { ProblemInjector.GetVariableValue<IntData>("TrainingSamplesStart", null, false).Data = value; }
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73 | }
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74 |
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75 | public int TrainingSamplesEnd {
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76 | get { return ProblemInjector.GetVariableValue<IntData>("TrainingSamplesEnd", null, false).Data; }
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77 | set { ProblemInjector.GetVariableValue<IntData>("TrainingSamplesEnd", null, false).Data = value; }
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78 | }
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79 |
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80 | public int ValidationSamplesStart {
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81 | get { return ProblemInjector.GetVariableValue<IntData>("ValidationSamplesStart", null, false).Data; }
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82 | set { ProblemInjector.GetVariableValue<IntData>("ValidationSamplesStart", null, false).Data = value; }
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83 | }
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84 |
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85 | public int ValidationSamplesEnd {
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86 | get { return ProblemInjector.GetVariableValue<IntData>("ValidationSamplesEnd", null, false).Data; }
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87 | set { ProblemInjector.GetVariableValue<IntData>("ValidationSamplesEnd", null, false).Data = value; }
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88 | }
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89 |
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90 | public int TestSamplesStart {
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91 | get { return ProblemInjector.GetVariableValue<IntData>("TestSamplesStart", null, false).Data; }
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92 | set { ProblemInjector.GetVariableValue<IntData>("TestSamplesStart", null, false).Data = value; }
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93 | }
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94 |
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95 | public int TestSamplesEnd {
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96 | get { return ProblemInjector.GetVariableValue<IntData>("TestSamplesEnd", null, false).Data; }
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97 | set { ProblemInjector.GetVariableValue<IntData>("TestSamplesEnd", null, false).Data = value; }
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98 | }
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99 |
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100 | public virtual double PunishmentFactor {
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101 | get { return GetVariableInjector().GetVariable("PunishmentFactor").GetValue<DoubleData>().Data; }
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102 | set { GetVariableInjector().GetVariable("PunishmentFactor").GetValue<DoubleData>().Data = value; }
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103 | }
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104 |
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105 | public virtual int MaxBestValidationSolutionAge {
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106 | get { return GetVariableInjector().GetVariable("MaxBestValidationSolutionAge").GetValue<IntData>().Data; }
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107 | set { GetVariableInjector().GetVariable("MaxBestValidationSolutionAge").GetValue<IntData>().Data = value; }
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108 | }
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109 |
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110 | public override IOperator ProblemInjector {
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111 | get { return GetProblemInjector().OperatorGraph.InitialOperator.SubOperators[0]; }
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112 | set {
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113 | value.Name = "ProblemInjector";
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114 | CombinedOperator problemInjector = GetProblemInjector();
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115 | problemInjector.OperatorGraph.RemoveOperator(ProblemInjector.Guid);
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116 | problemInjector.OperatorGraph.AddOperator(value);
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117 | problemInjector.OperatorGraph.InitialOperator.AddSubOperator(value, 0);
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118 | }
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119 | }
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120 |
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121 | public override IOperator FunctionLibraryInjector {
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122 | get {
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123 | CombinedOperator funLibInjector = (CombinedOperator)GetInitializationOperator().SubOperators[1];
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124 | return funLibInjector.OperatorGraph.InitialOperator.SubOperators[0];
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125 | }
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126 | set {
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127 | CombinedOperator funLibInjector = (CombinedOperator)GetInitializationOperator().SubOperators[1];
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128 | IOperator seq = funLibInjector.OperatorGraph.InitialOperator;
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129 | seq.RemoveSubOperator(0);
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130 | seq.AddSubOperator(value, 0);
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131 | }
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132 | }
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133 |
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134 | public OffspringSelectionGPRegression()
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135 | : base() {
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136 | PunishmentFactor = 10.0;
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137 | MaxBestValidationSolutionAge = 20;
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138 | }
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139 |
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140 | protected override IOperator CreateFunctionLibraryInjector() {
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141 | return DefaultStructureIdentificationOperators.CreateFunctionLibraryInjector();
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142 | }
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143 |
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144 | protected override IOperator CreateProblemInjector() {
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145 | return DefaultRegressionOperators.CreateProblemInjector();
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146 | }
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147 |
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148 | protected override IOperator CreateInitialPopulationEvaluator() {
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149 | return DefaultStructureIdentificationOperators.CreateInitialPopulationEvaluator();
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150 | }
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151 |
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152 | protected override IOperator CreateEvaluationOperator() {
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153 | return DefaultStructureIdentificationOperators.CreateEvaluator();
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154 | }
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155 |
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156 |
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157 | protected override IOperator CreateGenerationStepHook() {
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158 | IOperator hook = DefaultStructureIdentificationOperators.CreateGenerationStepHook();
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159 | hook.AddSubOperator(CreateBestSolutionProcessor());
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160 | return hook;
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161 | }
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162 |
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163 | private IOperator CreateBestSolutionProcessor() {
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164 | CombinedOperator op = new CombinedOperator();
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165 | op.Name = "BestSolutionProcessor";
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166 | SequentialProcessor seq = new SequentialProcessor();
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167 |
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168 | ProgrammableOperator variableStorer = new ProgrammableOperator();
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169 | variableStorer.RemoveVariableInfo("Result");
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170 | variableStorer.AddVariableInfo(new VariableInfo("Input", "Value to copy", typeof(ObjectData), VariableKind.In));
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171 | variableStorer.AddVariableInfo(new VariableInfo("Output", "Value to write", typeof(ObjectData), VariableKind.Out));
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172 | variableStorer.Code = "scope.AddVariable(new HeuristicLab.Core.Variable(scope.TranslateName(\"Output\"), (ObjectData)Input.Clone()));";
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173 |
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174 | IOperator evaluatedSolutionsStorer = (IOperator)variableStorer.Clone();
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175 | evaluatedSolutionsStorer.GetVariableInfo("Input").ActualName = "EvaluatedSolutions";
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176 | evaluatedSolutionsStorer.GetVariableInfo("Output").ActualName = "EvaluatedSolutions";
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177 |
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178 | IOperator selectionPressureStorer = (IOperator)variableStorer.Clone();
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179 | selectionPressureStorer.GetVariableInfo("Input").ActualName = "SelectionPressure";
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180 | selectionPressureStorer.GetVariableInfo("Output").ActualName = "SelectionPressure";
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181 |
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182 | ProgrammableOperator resetBestSolutionAge = new ProgrammableOperator();
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183 | resetBestSolutionAge.RemoveVariable("Result");
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184 | resetBestSolutionAge.AddVariableInfo(
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185 | new VariableInfo("BestValidationSolutionAge", "Age of best validation solution", typeof(IntData), VariableKind.In | VariableKind.Out));
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186 | resetBestSolutionAge.Code = "BestValidationSolutionAge.Data = 0;";
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187 |
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188 | seq.AddSubOperator(evaluatedSolutionsStorer);
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189 | seq.AddSubOperator(selectionPressureStorer);
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190 | seq.AddSubOperator(resetBestSolutionAge);
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191 |
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192 | op.OperatorGraph.AddOperator(seq);
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193 | op.OperatorGraph.InitialOperator = seq;
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194 | return op;
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195 | }
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196 |
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197 | protected override VariableInjector CreateGlobalInjector() {
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198 | VariableInjector injector = base.CreateGlobalInjector();
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199 | injector.AddVariable(new HeuristicLab.Core.Variable("PunishmentFactor", new DoubleData()));
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200 | injector.AddVariable(new HeuristicLab.Core.Variable("BestValidationSolutionAge", new IntData()));
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201 | injector.AddVariable(new HeuristicLab.Core.Variable("MaxBestValidationSolutionAge", new IntData()));
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202 | injector.AddVariable(new HeuristicLab.Core.Variable("MaxNumberOfTrainingSamples", new IntData(4000)));
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203 | return injector;
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204 | }
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205 |
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206 |
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207 | protected override IOperator CreateLoggingOperator() {
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208 | CombinedOperator loggingOperator = new CombinedOperator();
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209 | loggingOperator.Name = "Logging";
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210 | SequentialProcessor seq = new SequentialProcessor();
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211 |
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212 | DataCollector collector = new DataCollector();
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213 | ItemList<StringData> names = collector.GetVariable("VariableNames").GetValue<ItemList<StringData>>();
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214 | names.Add(new StringData("BestQuality"));
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215 | names.Add(new StringData("AverageQuality"));
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216 | names.Add(new StringData("WorstQuality"));
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217 | names.Add(new StringData("BestValidationQuality"));
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218 | names.Add(new StringData("AverageValidationQuality"));
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219 | names.Add(new StringData("WorstValidationQuality"));
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220 | names.Add(new StringData("EvaluatedSolutions"));
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221 | names.Add(new StringData("SelectionPressure"));
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222 | QualityLogger qualityLogger = new QualityLogger();
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223 | QualityLogger validationQualityLogger = new QualityLogger();
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224 | validationQualityLogger.GetVariableInfo("Quality").ActualName = "ValidationQuality";
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225 | validationQualityLogger.GetVariableInfo("QualityLog").ActualName = "ValidationQualityLog";
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226 | seq.AddSubOperator(collector);
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227 | seq.AddSubOperator(qualityLogger);
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228 | seq.AddSubOperator(validationQualityLogger);
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229 |
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230 | loggingOperator.OperatorGraph.AddOperator(seq);
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231 | loggingOperator.OperatorGraph.InitialOperator = seq;
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232 | return loggingOperator;
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233 | }
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234 |
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235 | protected override IOperator CreateTerminationCondition() {
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236 | CombinedOperator terminationCritertion = new CombinedOperator();
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237 | terminationCritertion.Name = "TerminationCondition";
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238 | GreaterThanComparator bestSolutionAge = new GreaterThanComparator();
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239 | bestSolutionAge.GetVariableInfo("LeftSide").ActualName = "BestValidationSolutionAge";
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240 | bestSolutionAge.GetVariableInfo("RightSide").ActualName = "MaxBestValidationSolutionAge";
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241 | bestSolutionAge.GetVariableInfo("Result").ActualName = "TerminationCriterion";
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242 |
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243 | IOperator combinedTerminationCriterion = AlgorithmBase.CombineTerminationCriterions(base.CreateTerminationCondition(), bestSolutionAge);
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244 |
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245 | terminationCritertion.OperatorGraph.AddOperator(combinedTerminationCriterion);
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246 | terminationCritertion.OperatorGraph.InitialOperator = combinedTerminationCriterion;
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247 | return terminationCritertion;
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248 | }
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249 |
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250 | protected override IOperator CreatePostProcessingOperator() {
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251 | CombinedOperator op = new CombinedOperator();
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252 | op.Name = "ModelAnalyser";
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253 | SequentialProcessor seq = new SequentialProcessor();
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254 | seq.AddSubOperator(DefaultStructureIdentificationOperators.CreatePreparationForPostProcessingOperator());
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255 |
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256 | UniformSequentialSubScopesProcessor subScopesProc = new UniformSequentialSubScopesProcessor();
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257 | SequentialProcessor solutionProc = new SequentialProcessor();
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258 | solutionProc.AddSubOperator(CreateModelAnalyzerOperator());
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259 |
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260 | subScopesProc.AddSubOperator(solutionProc);
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261 | seq.AddSubOperator(subScopesProc);
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262 |
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263 | op.OperatorGraph.AddOperator(seq);
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264 | op.OperatorGraph.InitialOperator = seq;
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265 | return op;
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266 | }
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267 |
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268 | protected virtual IOperator CreateModelAnalyzerOperator() {
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269 | return DefaultRegressionOperators.CreatePostProcessingOperator();
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270 | }
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271 |
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272 | protected CombinedOperator GetProblemInjector() {
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273 | return (CombinedOperator)GetInitializationOperator().SubOperators[0];
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274 | }
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275 |
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276 | protected virtual IAnalyzerModel CreateGPModel() {
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277 | IScope bestModelScope = Engine.GlobalScope.SubScopes[0];
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278 | var model = new AnalyzerModel();
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279 |
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280 | model.SetMetaData("SelectionPressure", bestModelScope.GetVariableValue<DoubleData>("SelectionPressure", false).Data);
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281 | DefaultStructureIdentificationOperators.PopulateAnalyzerModel(bestModelScope, model);
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282 | DefaultRegressionOperators.PopulateAnalyzerModel(bestModelScope, model);
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283 |
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284 | return model;
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285 | }
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286 | }
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287 | }
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