1 | #region License Information
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2 | /* HeuristicLab
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3 | * Copyright (C) 2002-2010 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.Collections.Generic;
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24 | using System.Linq;
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25 | using System.Drawing;
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26 | using HeuristicLab.Common;
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27 | using HeuristicLab.Core;
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28 | using HeuristicLab.Data;
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29 | using HeuristicLab.Optimization;
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30 | using HeuristicLab.Parameters;
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31 | using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
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32 | using HeuristicLab.PluginInfrastructure;
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33 | using HeuristicLab.Encodings.SymbolicExpressionTreeEncoding;
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34 | using HeuristicLab.Problems.DataAnalysis.Regression;
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35 | using HeuristicLab.Problems.DataAnalysis.Symbolic;
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36 | using HeuristicLab.Encodings.SymbolicExpressionTreeEncoding.ArchitectureAlteringOperators;
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37 | using HeuristicLab.Encodings.SymbolicExpressionTreeEncoding.Manipulators;
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38 | using HeuristicLab.Encodings.SymbolicExpressionTreeEncoding.Crossovers;
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39 | using HeuristicLab.Encodings.SymbolicExpressionTreeEncoding.Creators;
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40 |
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41 | namespace HeuristicLab.Problems.DataAnalysis.Regression.Symbolic {
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42 | [Item("SymbolicRegressionProblem", "Represents a symbolic regression problem.")]
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43 | [Creatable("Problems")]
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44 | [StorableClass]
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45 | public sealed class SymbolicRegressionProblem : DataAnalysisProblem, ISingleObjectiveProblem {
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46 |
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47 | #region Parameter Properties
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48 | public ValueParameter<BoolValue> MaximizationParameter {
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49 | get { return (ValueParameter<BoolValue>)Parameters["Maximization"]; }
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50 | }
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51 | IParameter ISingleObjectiveProblem.MaximizationParameter {
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52 | get { return MaximizationParameter; }
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53 | }
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54 | public ValueParameter<SymbolicExpressionTreeCreator> SolutionCreatorParameter {
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55 | get { return (ValueParameter<SymbolicExpressionTreeCreator>)Parameters["SolutionCreator"]; }
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56 | }
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57 | IParameter IProblem.SolutionCreatorParameter {
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58 | get { return SolutionCreatorParameter; }
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59 | }
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60 | public ValueParameter<ISymbolicRegressionEvaluator> EvaluatorParameter {
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61 | get { return (ValueParameter<ISymbolicRegressionEvaluator>)Parameters["Evaluator"]; }
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62 | }
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63 | IParameter IProblem.EvaluatorParameter {
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64 | get { return EvaluatorParameter; }
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65 | }
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66 | public ValueParameter<ISymbolicExpressionGrammar> FunctionTreeGrammarParameter {
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67 | get { return (ValueParameter<ISymbolicExpressionGrammar>)Parameters["FunctionTreeGrammar"]; }
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68 | }
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69 | public ValueParameter<IntValue> MaxExpressionLengthParameter {
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70 | get { return (ValueParameter<IntValue>)Parameters["MaxExpressionLength"]; }
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71 | }
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72 | public ValueParameter<IntValue> MaxExpressionDepthParameter {
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73 | get { return (ValueParameter<IntValue>)Parameters["MaxExpressionDepth"]; }
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74 | }
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75 | public ValueParameter<DoubleValue> NumberOfEvaluatedNodesParameter {
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76 | get { return (ValueParameter<DoubleValue>)Parameters["NumberOfEvaluatedNodes"]; }
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77 | }
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78 | public ValueParameter<IntValue> MaxFunctionDefiningBranchesParameter {
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79 | get { return (ValueParameter<IntValue>)Parameters["MaxFunctionDefiningBranches"]; }
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80 | }
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81 | public ValueParameter<IntValue> MaxFunctionArgumentsParameter {
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82 | get { return (ValueParameter<IntValue>)Parameters["MaxFunctionArguments"]; }
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83 | }
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84 | public OptionalValueParameter<ISingleObjectiveSolutionsVisualizer> VisualizerParameter {
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85 | get { return (OptionalValueParameter<ISingleObjectiveSolutionsVisualizer>)Parameters["Visualizer"]; }
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86 | }
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87 | IParameter IProblem.VisualizerParameter {
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88 | get { return VisualizerParameter; }
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89 | }
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90 | public OptionalValueParameter<DoubleValue> BestKnownQualityParameter {
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91 | get { return (OptionalValueParameter<DoubleValue>)Parameters["BestKnownQuality"]; }
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92 | }
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93 | IParameter ISingleObjectiveProblem.BestKnownQualityParameter {
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94 | get { return BestKnownQualityParameter; }
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95 | }
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96 | #endregion
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97 |
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98 | #region Properties
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99 | public IntValue MaxExpressionLength {
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100 | get { return MaxExpressionLengthParameter.Value; }
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101 | set { MaxExpressionLengthParameter.Value = value; }
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102 | }
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103 | public IntValue MaxExpressionDepth {
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104 | get { return MaxExpressionDepthParameter.Value; }
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105 | set { MaxExpressionDepthParameter.Value = value; }
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106 | }
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107 | public SymbolicExpressionTreeCreator SolutionCreator {
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108 | get { return SolutionCreatorParameter.Value; }
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109 | set { SolutionCreatorParameter.Value = value; }
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110 | }
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111 | ISolutionCreator IProblem.SolutionCreator {
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112 | get { return SolutionCreatorParameter.Value; }
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113 | }
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114 | public ISymbolicRegressionEvaluator Evaluator {
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115 | get { return EvaluatorParameter.Value; }
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116 | set { EvaluatorParameter.Value = value; }
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117 | }
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118 | ISingleObjectiveEvaluator ISingleObjectiveProblem.Evaluator {
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119 | get { return EvaluatorParameter.Value; }
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120 | }
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121 | IEvaluator IProblem.Evaluator {
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122 | get { return EvaluatorParameter.Value; }
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123 | }
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124 | public ISymbolicExpressionGrammar FunctionTreeGrammar {
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125 | get { return (ISymbolicExpressionGrammar)FunctionTreeGrammarParameter.Value; }
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126 | }
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127 | public ISingleObjectiveSolutionsVisualizer Visualizer {
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128 | get { return VisualizerParameter.Value; }
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129 | set { VisualizerParameter.Value = value; }
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130 | }
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131 | ISolutionsVisualizer IProblem.Visualizer {
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132 | get { return VisualizerParameter.Value; }
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133 | }
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134 | public DoubleValue BestKnownQuality {
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135 | get { return BestKnownQualityParameter.Value; }
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136 | }
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137 | private List<ISymbolicExpressionTreeOperator> operators;
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138 | public IEnumerable<IOperator> Operators {
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139 | get { return operators.Cast<IOperator>(); }
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140 | }
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141 | #endregion
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142 |
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143 | public SymbolicRegressionProblem()
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144 | : base() {
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145 | SymbolicExpressionTreeCreator creator = new ProbabilisticTreeCreator();
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146 | var evaluator = new SymbolicRegressionMeanSquaredErrorEvaluator();
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147 | var grammar = new ArithmeticExpressionGrammar();
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148 | var globalGrammar = new GlobalSymbolicExpressionGrammar(grammar);
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149 | var visualizer = new BestValidationSymbolicRegressionSolutionVisualizer();
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150 | var interpreter = new SimpleArithmeticExpressionInterpreter();
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151 | Parameters.Add(new ValueParameter<BoolValue>("Maximization", "Set to false as the error of the regression model should be minimized.", new BoolValue(false)));
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152 | Parameters.Add(new ValueParameter<SymbolicExpressionTreeCreator>("SolutionCreator", "The operator which should be used to create new symbolic regression solutions.", creator));
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153 | Parameters.Add(new ValueParameter<ISymbolicExpressionTreeInterpreter>("SymbolicExpressionTreeInterpreter", "The interpreter that should be used to evaluate the symbolic expression tree.", interpreter));
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154 | Parameters.Add(new ValueParameter<ISymbolicRegressionEvaluator>("Evaluator", "The operator which should be used to evaluate symbolic regression solutions.", evaluator));
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155 | Parameters.Add(new OptionalValueParameter<DoubleValue>("BestKnownQuality", "The minimal error value that reached by symbolic regression solutions for the problem."));
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156 | Parameters.Add(new ValueParameter<ISymbolicExpressionGrammar>("FunctionTreeGrammar", "The grammar that should be used for symbolic regression models.", globalGrammar));
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157 | Parameters.Add(new ValueParameter<IntValue>("MaxExpressionLength", "Maximal length of the symbolic expression.", new IntValue(100)));
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158 | Parameters.Add(new ValueParameter<IntValue>("MaxExpressionDepth", "Maximal depth of the symbolic expression.", new IntValue(10)));
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159 | Parameters.Add(new ValueParameter<IntValue>("MaxFunctionDefiningBranches", "Maximal number of automatically defined functions.", new IntValue(3)));
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160 | Parameters.Add(new ValueParameter<IntValue>("MaxFunctionArguments", "Maximal number of arguments of automatically defined functions.", new IntValue(3)));
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161 | Parameters.Add(new ValueParameter<DoubleValue>("NumberOfEvaluatedNodes", "The total number of evaluated function tree nodes (for performance measurements.)", new DoubleValue()));
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162 | Parameters.Add(new ValueParameter<ISingleObjectiveSolutionsVisualizer>("Visualizer", "The operator which should be used to visualize symbolic regression solutions.", visualizer));
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163 |
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164 | creator.SymbolicExpressionTreeParameter.ActualName = "SymbolicRegressionModel";
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165 | creator.MaxFunctionArgumentsParameter.ActualName = "MaxFunctionArguments";
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166 | creator.MaxFunctionDefinitionsParameter.ActualName = "MaxFunctionDefiningBranches";
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167 | DataAnalysisProblemDataParameter.ValueChanged += new EventHandler(DataAnalysisProblemDataParameter_ValueChanged);
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168 | DataAnalysisProblemData.ProblemDataChanged += new EventHandler(DataAnalysisProblemData_Changed);
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169 | ParameterizeSolutionCreator();
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170 | ParameterizeEvaluator();
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171 | ParameterizeVisualizer();
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172 |
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173 | Initialize();
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174 | }
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175 |
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176 |
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177 | [StorableConstructor]
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178 | private SymbolicRegressionProblem(bool deserializing) : base() { }
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179 |
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180 | public override IDeepCloneable Clone(Cloner cloner) {
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181 | SymbolicRegressionProblem clone = (SymbolicRegressionProblem)base.Clone(cloner);
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182 | clone.Initialize();
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183 | return clone;
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184 | }
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185 |
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186 | #region Events
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187 | void DataAnalysisProblemDataParameter_ValueChanged(object sender, EventArgs e) {
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188 | DataAnalysisProblemData.ProblemDataChanged += new EventHandler(DataAnalysisProblemData_Changed);
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189 | }
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190 |
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191 | void DataAnalysisProblemData_Changed(object sender, EventArgs e) {
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192 | foreach (var varSymbol in FunctionTreeGrammar.Symbols.OfType<HeuristicLab.Problems.DataAnalysis.Symbolic.Symbols.Variable>()) {
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193 | varSymbol.VariableNames = DataAnalysisProblemData.InputVariables.Select(x => x.Value);
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194 | }
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195 | UpdatePartitioningParameters();
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196 | }
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197 |
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198 | private void UpdatePartitioningParameters() {
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199 | int trainingStart = DataAnalysisProblemData.TrainingSamplesStart.Value;
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200 | int validationEnd = DataAnalysisProblemData.TrainingSamplesEnd.Value;
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201 | int trainingEnd = trainingStart + (validationEnd - trainingStart) / 2;
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202 | int validationStart = trainingEnd;
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203 | var solutionVisualizer = Visualizer as BestValidationSymbolicRegressionSolutionVisualizer;
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204 | if (solutionVisualizer != null) {
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205 | solutionVisualizer.ValidationSamplesStartParameter.Value = new IntValue(validationStart);
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206 | solutionVisualizer.ValidationSamplesEndParameter.Value = new IntValue(validationEnd);
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207 | }
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208 | Evaluator.SamplesStartParameter.Value = new IntValue(trainingStart);
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209 | Evaluator.SamplesEndParameter.Value = new IntValue(trainingEnd);
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210 | }
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211 |
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212 | public event EventHandler SolutionCreatorChanged;
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213 | private void OnSolutionCreatorChanged() {
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214 | var changed = SolutionCreatorChanged;
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215 | if (changed != null)
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216 | changed(this, EventArgs.Empty);
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217 | }
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218 | public event EventHandler EvaluatorChanged;
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219 | private void OnEvaluatorChanged() {
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220 | var changed = EvaluatorChanged;
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221 | if (changed != null)
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222 | changed(this, EventArgs.Empty);
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223 | }
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224 | public event EventHandler VisualizerChanged;
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225 | private void OnVisualizerChanged() {
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226 | var changed = VisualizerChanged;
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227 | if (changed != null)
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228 | changed(this, EventArgs.Empty);
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229 | }
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230 |
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231 | public event EventHandler OperatorsChanged;
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232 | private void OnOperatorsChanged() {
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233 | var changed = OperatorsChanged;
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234 | if (changed != null)
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235 | changed(this, EventArgs.Empty);
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236 | }
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237 |
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238 | private void SolutionCreatorParameter_ValueChanged(object sender, EventArgs e) {
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239 | SolutionCreator.SymbolicExpressionTreeParameter.ActualNameChanged += new EventHandler(SolutionCreator_SymbolicExpressionTreeParameter_ActualNameChanged);
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240 | ParameterizeSolutionCreator();
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241 | ParameterizeEvaluator();
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242 | ParameterizeVisualizer();
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243 | ParameterizeOperators();
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244 | OnSolutionCreatorChanged();
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245 | }
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246 | private void SolutionCreator_SymbolicExpressionTreeParameter_ActualNameChanged(object sender, EventArgs e) {
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247 | ParameterizeEvaluator();
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248 | ParameterizeVisualizer();
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249 | ParameterizeOperators();
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250 | }
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251 | private void EvaluatorParameter_ValueChanged(object sender, EventArgs e) {
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252 | Evaluator.QualityParameter.ActualNameChanged += new EventHandler(Evaluator_QualityParameter_ActualNameChanged);
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253 | ParameterizeEvaluator();
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254 | ParameterizeVisualizer();
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255 | OnEvaluatorChanged();
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256 | }
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257 |
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258 | private void VisualizerParameter_ValueChanged(object sender, EventArgs e) {
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259 | ParameterizeVisualizer();
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260 | OnVisualizerChanged();
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261 | }
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262 |
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263 | private void Evaluator_QualityParameter_ActualNameChanged(object sender, EventArgs e) {
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264 | ParameterizeVisualizer();
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265 | }
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266 |
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267 | #endregion
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268 |
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269 | #region Helpers
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270 | [StorableHook(HookType.AfterDeserialization)]
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271 | private void Initialize() {
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272 | InitializeOperators();
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273 | SolutionCreatorParameter.ValueChanged += new EventHandler(SolutionCreatorParameter_ValueChanged);
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274 | SolutionCreator.SymbolicExpressionTreeParameter.ActualNameChanged += new EventHandler(SolutionCreator_SymbolicExpressionTreeParameter_ActualNameChanged);
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275 | EvaluatorParameter.ValueChanged += new EventHandler(EvaluatorParameter_ValueChanged);
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276 | Evaluator.QualityParameter.ActualNameChanged += new EventHandler(Evaluator_QualityParameter_ActualNameChanged);
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277 | VisualizerParameter.ValueChanged += new EventHandler(VisualizerParameter_ValueChanged);
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278 | }
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279 |
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280 | private void InitializeOperators() {
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281 | operators = new List<ISymbolicExpressionTreeOperator>();
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282 | operators.AddRange(ApplicationManager.Manager.GetInstances<ISymbolicExpressionTreeOperator>());
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283 | ParameterizeOperators();
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284 | }
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285 |
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286 | private void ParameterizeSolutionCreator() {
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287 | SolutionCreator.SymbolicExpressionGrammarParameter.ActualName = FunctionTreeGrammarParameter.Name;
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288 | SolutionCreator.MaxTreeHeightParameter.ActualName = MaxExpressionDepthParameter.Name;
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289 | SolutionCreator.MaxTreeSizeParameter.ActualName = MaxExpressionLengthParameter.Name;
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290 | }
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291 | private void ParameterizeEvaluator() {
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292 | Evaluator.SymbolicExpressionTreeParameter.ActualName = SolutionCreator.SymbolicExpressionTreeParameter.ActualName;
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293 | Evaluator.RegressionProblemDataParameter.ActualName = DataAnalysisProblemDataParameter.Name;
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294 | Evaluator.QualityParameter.ActualName = "TrainingMeanSquaredError";
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295 | Evaluator.SamplesStartParameter.Value = new IntValue(DataAnalysisProblemData.TrainingSamplesStart.Value);
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296 | Evaluator.SamplesEndParameter.Value = new IntValue((DataAnalysisProblemData.TrainingSamplesStart.Value + DataAnalysisProblemData.TrainingSamplesEnd.Value) / 2);
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297 | }
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298 | private void ParameterizeVisualizer() {
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299 | if (Visualizer != null) {
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300 | var solutionVisualizer = Visualizer as BestValidationSymbolicRegressionSolutionVisualizer;
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301 | if (solutionVisualizer != null) {
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302 | solutionVisualizer.SymbolicExpressionTreeParameter.ActualName = SolutionCreator.SymbolicExpressionTreeParameter.ActualName;
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303 | solutionVisualizer.DataAnalysisProblemDataParameter.ActualName = DataAnalysisProblemDataParameter.Name;
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304 | solutionVisualizer.ValidationSamplesStartParameter.Value = new IntValue((DataAnalysisProblemData.TrainingSamplesStart.Value + DataAnalysisProblemData.TrainingSamplesEnd.Value) / 2);
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305 | solutionVisualizer.ValidationSamplesEndParameter.Value = new IntValue(DataAnalysisProblemData.TrainingSamplesEnd.Value);
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306 | }
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307 | }
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308 | }
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309 |
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310 | private void ParameterizeOperators() {
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311 | foreach (ISymbolicExpressionTreeOperator op in Operators.OfType<ISymbolicExpressionTreeOperator>()) {
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312 | op.MaxTreeHeightParameter.ActualName = MaxExpressionDepthParameter.Name;
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313 | op.MaxTreeSizeParameter.ActualName = MaxExpressionLengthParameter.Name;
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314 | op.SymbolicExpressionGrammarParameter.ActualName = FunctionTreeGrammarParameter.Name;
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315 | }
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316 | foreach (ISymbolicRegressionEvaluator op in Operators.OfType<ISymbolicRegressionEvaluator>()) {
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317 | op.SymbolicExpressionTreeParameter.ActualName = SolutionCreator.SymbolicExpressionTreeParameter.ActualName;
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318 | op.RegressionProblemDataParameter.ActualName = DataAnalysisProblemDataParameter.Name;
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319 | op.NumberOfEvaluatedNodesParameter.ActualName = NumberOfEvaluatedNodesParameter.Name;
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320 | }
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321 | foreach (SymbolicExpressionTreeCrossover op in Operators.OfType<SymbolicExpressionTreeCrossover>()) {
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322 | op.ParentsParameter.ActualName = SolutionCreator.SymbolicExpressionTreeParameter.ActualName;
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323 | op.ChildParameter.ActualName = SolutionCreator.SymbolicExpressionTreeParameter.ActualName;
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324 | }
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325 | foreach (SymbolicExpressionTreeManipulator op in Operators.OfType<SymbolicExpressionTreeManipulator>()) {
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326 | op.SymbolicExpressionTreeParameter.ActualName = SolutionCreator.SymbolicExpressionTreeParameter.ActualName;
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327 | }
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328 | foreach (SymbolicExpressionTreeArchitectureAlteringOperator op in Operators.OfType<SymbolicExpressionTreeArchitectureAlteringOperator>()) {
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329 | }
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330 | }
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331 | #endregion
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332 | }
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333 | }
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