[5577] | 1 | #region License Information
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| 2 | /* HeuristicLab
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[9456] | 3 | * Copyright (C) 2002-2013 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
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[5577] | 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.Drawing;
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[5618] | 24 | using System.Linq;
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[5577] | 25 | using HeuristicLab.Common;
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| 26 | using HeuristicLab.Common.Resources;
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| 27 | using HeuristicLab.Core;
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| 28 | using HeuristicLab.Data;
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[5618] | 29 | using HeuristicLab.Encodings.SymbolicExpressionTreeEncoding;
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[10278] | 30 | using HeuristicLab.EvolutionTracking;
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[5577] | 31 | using HeuristicLab.Optimization;
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| 32 | using HeuristicLab.Parameters;
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| 33 | using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
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[5618] | 34 | using HeuristicLab.PluginInfrastructure;
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[7823] | 35 | using HeuristicLab.Problems.Instances;
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[5577] | 36 |
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[10278] | 37 | using TGraph = HeuristicLab.EvolutionTracking.IGenealogyGraph<HeuristicLab.EvolutionTracking.GenealogyGraphNode<HeuristicLab.Encodings.SymbolicExpressionTreeEncoding.ISymbolicExpressionTree>,
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| 38 | HeuristicLab.Encodings.SymbolicExpressionTreeEncoding.ISymbolicExpressionTree>;
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| 39 | using TVertex = HeuristicLab.EvolutionTracking.GenealogyGraphNode<HeuristicLab.Encodings.SymbolicExpressionTreeEncoding.ISymbolicExpressionTree>;
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| 40 |
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[5577] | 41 | namespace HeuristicLab.Problems.DataAnalysis.Symbolic {
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| 42 | [StorableClass]
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[7823] | 43 | public abstract class SymbolicDataAnalysisProblem<T, U, V> : HeuristicOptimizationProblem<U, V>, IDataAnalysisProblem<T>, ISymbolicDataAnalysisProblem, IStorableContent,
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| 44 | IProblemInstanceConsumer<T>, IProblemInstanceExporter<T>
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[6978] | 45 | where T : class, IDataAnalysisProblemData
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[5580] | 46 | where U : class, ISymbolicDataAnalysisEvaluator<T>
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| 47 | where V : class, ISymbolicDataAnalysisSolutionCreator {
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[5770] | 48 |
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[5577] | 49 | #region parameter names & descriptions
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| 50 | private const string ProblemDataParameterName = "ProblemData";
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| 51 | private const string SymbolicExpressionTreeGrammarParameterName = "SymbolicExpressionTreeGrammar";
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| 52 | private const string SymbolicExpressionTreeInterpreterParameterName = "SymbolicExpressionTreeInterpreter";
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| 53 | private const string MaximumSymbolicExpressionTreeDepthParameterName = "MaximumSymbolicExpressionTreeDepth";
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| 54 | private const string MaximumSymbolicExpressionTreeLengthParameterName = "MaximumSymbolicExpressionTreeLength";
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| 55 | private const string MaximumFunctionDefinitionsParameterName = "MaximumFunctionDefinitions";
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| 56 | private const string MaximumFunctionArgumentsParameterName = "MaximumFunctionArguments";
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[5759] | 57 | private const string RelativeNumberOfEvaluatedSamplesParameterName = "RelativeNumberOfEvaluatedSamples";
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[5733] | 58 | private const string FitnessCalculationPartitionParameterName = "FitnessCalculationPartition";
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[5775] | 59 | private const string ValidationPartitionParameterName = "ValidationPartition";
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[8664] | 60 | private const string ApplyLinearScalingParameterName = "ApplyLinearScaling";
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[5577] | 61 |
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| 62 | private const string ProblemDataParameterDescription = "";
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| 63 | private const string SymbolicExpressionTreeGrammarParameterDescription = "The grammar that should be used for symbolic expression tree.";
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| 64 | private const string SymoblicExpressionTreeInterpreterParameterDescription = "The interpreter that should be used to evaluate the symbolic expression tree.";
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| 65 | private const string MaximumSymbolicExpressionTreeDepthParameterDescription = "Maximal depth of the symbolic expression. The minimum depth needed for the algorithm is 3 because two levels are reserved for the ProgramRoot and the Start symbol.";
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| 66 | private const string MaximumSymbolicExpressionTreeLengthParameterDescription = "Maximal length of the symbolic expression.";
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| 67 | private const string MaximumFunctionDefinitionsParameterDescription = "Maximal number of automatically defined functions";
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| 68 | private const string MaximumFunctionArgumentsParameterDescription = "Maximal number of arguments of automatically defined functions.";
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[5759] | 69 | private const string RelativeNumberOfEvaluatedSamplesParameterDescription = "The relative number of samples of the dataset partition, which should be randomly chosen for evaluation.";
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| 70 | private const string FitnessCalculationPartitionParameterDescription = "The partition of the problem data training partition, that should be used to calculate the fitness of an individual.";
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[5857] | 71 | private const string ValidationPartitionParameterDescription = "The partition of the problem data training partition, that should be used to select the best model from (optional).";
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[8664] | 72 | private const string ApplyLinearScalingParameterDescription = "Flag that indicates if the individual should be linearly scaled before evaluating.";
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[5577] | 73 | #endregion
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| 74 |
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| 75 | #region parameter properties
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| 76 | IParameter IDataAnalysisProblem.ProblemDataParameter {
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| 77 | get { return ProblemDataParameter; }
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| 78 | }
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| 79 | public IValueParameter<T> ProblemDataParameter {
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| 80 | get { return (IValueParameter<T>)Parameters[ProblemDataParameterName]; }
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| 81 | }
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| 82 | public IValueParameter<ISymbolicDataAnalysisGrammar> SymbolicExpressionTreeGrammarParameter {
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| 83 | get { return (IValueParameter<ISymbolicDataAnalysisGrammar>)Parameters[SymbolicExpressionTreeGrammarParameterName]; }
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| 84 | }
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[5624] | 85 | public IValueParameter<ISymbolicDataAnalysisExpressionTreeInterpreter> SymbolicExpressionTreeInterpreterParameter {
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| 86 | get { return (IValueParameter<ISymbolicDataAnalysisExpressionTreeInterpreter>)Parameters[SymbolicExpressionTreeInterpreterParameterName]; }
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[5577] | 87 | }
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[5618] | 88 | public IFixedValueParameter<IntValue> MaximumSymbolicExpressionTreeDepthParameter {
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| 89 | get { return (IFixedValueParameter<IntValue>)Parameters[MaximumSymbolicExpressionTreeDepthParameterName]; }
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[5577] | 90 | }
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[5618] | 91 | public IFixedValueParameter<IntValue> MaximumSymbolicExpressionTreeLengthParameter {
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| 92 | get { return (IFixedValueParameter<IntValue>)Parameters[MaximumSymbolicExpressionTreeLengthParameterName]; }
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[5577] | 93 | }
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[5618] | 94 | public IFixedValueParameter<IntValue> MaximumFunctionDefinitionsParameter {
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| 95 | get { return (IFixedValueParameter<IntValue>)Parameters[MaximumFunctionDefinitionsParameterName]; }
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[5577] | 96 | }
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[5618] | 97 | public IFixedValueParameter<IntValue> MaximumFunctionArgumentsParameter {
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| 98 | get { return (IFixedValueParameter<IntValue>)Parameters[MaximumFunctionArgumentsParameterName]; }
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[5577] | 99 | }
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[5759] | 100 | public IFixedValueParameter<PercentValue> RelativeNumberOfEvaluatedSamplesParameter {
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| 101 | get { return (IFixedValueParameter<PercentValue>)Parameters[RelativeNumberOfEvaluatedSamplesParameterName]; }
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| 102 | }
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| 103 | public IFixedValueParameter<IntRange> FitnessCalculationPartitionParameter {
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| 104 | get { return (IFixedValueParameter<IntRange>)Parameters[FitnessCalculationPartitionParameterName]; }
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| 105 | }
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[5883] | 106 | public IFixedValueParameter<IntRange> ValidationPartitionParameter {
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[5775] | 107 | get { return (IFixedValueParameter<IntRange>)Parameters[ValidationPartitionParameterName]; }
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[5759] | 108 | }
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[8664] | 109 | public IFixedValueParameter<BoolValue> ApplyLinearScalingParameter {
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| 110 | get { return (IFixedValueParameter<BoolValue>)Parameters[ApplyLinearScalingParameterName]; }
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| 111 | }
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[5577] | 112 | #endregion
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| 113 |
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| 114 | #region properties
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| 115 | public string Filename { get; set; }
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[7201] | 116 | public static new Image StaticItemImage { get { return VSImageLibrary.Type; } }
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[5577] | 117 |
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| 118 | IDataAnalysisProblemData IDataAnalysisProblem.ProblemData {
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| 119 | get { return ProblemData; }
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| 120 | }
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| 121 | public T ProblemData {
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| 122 | get { return ProblemDataParameter.Value; }
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[5618] | 123 | set { ProblemDataParameter.Value = value; }
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[5577] | 124 | }
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| 125 |
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| 126 | public ISymbolicDataAnalysisGrammar SymbolicExpressionTreeGrammar {
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| 127 | get { return SymbolicExpressionTreeGrammarParameter.Value; }
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[5618] | 128 | set { SymbolicExpressionTreeGrammarParameter.Value = value; }
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[5577] | 129 | }
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[5624] | 130 | public ISymbolicDataAnalysisExpressionTreeInterpreter SymbolicExpressionTreeInterpreter {
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[5577] | 131 | get { return SymbolicExpressionTreeInterpreterParameter.Value; }
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[5618] | 132 | set { SymbolicExpressionTreeInterpreterParameter.Value = value; }
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[5577] | 133 | }
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| 134 |
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| 135 | public IntValue MaximumSymbolicExpressionTreeDepth {
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| 136 | get { return MaximumSymbolicExpressionTreeDepthParameter.Value; }
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| 137 | }
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| 138 | public IntValue MaximumSymbolicExpressionTreeLength {
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| 139 | get { return MaximumSymbolicExpressionTreeLengthParameter.Value; }
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| 140 | }
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| 141 | public IntValue MaximumFunctionDefinitions {
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| 142 | get { return MaximumFunctionDefinitionsParameter.Value; }
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| 143 | }
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| 144 | public IntValue MaximumFunctionArguments {
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[5618] | 145 | get { return MaximumFunctionArgumentsParameter.Value; }
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[5577] | 146 | }
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[5759] | 147 | public PercentValue RelativeNumberOfEvaluatedSamples {
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| 148 | get { return RelativeNumberOfEvaluatedSamplesParameter.Value; }
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| 149 | }
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| 150 |
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| 151 | public IntRange FitnessCalculationPartition {
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| 152 | get { return FitnessCalculationPartitionParameter.Value; }
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| 153 | }
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[5775] | 154 | public IntRange ValidationPartition {
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[5883] | 155 | get { return ValidationPartitionParameter.Value; }
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[5759] | 156 | }
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[8664] | 157 | public BoolValue ApplyLinearScaling {
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| 158 | get { return ApplyLinearScalingParameter.Value; }
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| 159 | }
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[5577] | 160 | #endregion
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| 161 |
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| 162 | [StorableConstructor]
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| 163 | protected SymbolicDataAnalysisProblem(bool deserializing) : base(deserializing) { }
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[5618] | 164 | [StorableHook(HookType.AfterDeserialization)]
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| 165 | private void AfterDeserialization() {
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[8664] | 166 | if (!Parameters.ContainsKey(ApplyLinearScalingParameterName)) {
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| 167 | Parameters.Add(new FixedValueParameter<BoolValue>(ApplyLinearScalingParameterName, ApplyLinearScalingParameterDescription, new BoolValue(false)));
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| 168 | ApplyLinearScalingParameter.Hidden = true;
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[8666] | 169 |
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| 170 | //it is assumed that for all symbolic regression algorithms linear scaling was set to true
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| 171 | //there is no possibility to determine the previous value of the parameter as it was stored in the evaluator
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| 172 | if (GetType().Name.Contains("SymbolicRegression"))
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| 173 | ApplyLinearScaling.Value = true;
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[8664] | 174 | }
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| 175 |
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[5618] | 176 | RegisterEventHandlers();
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| 177 | }
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| 178 | protected SymbolicDataAnalysisProblem(SymbolicDataAnalysisProblem<T, U, V> original, Cloner cloner)
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| 179 | : base(original, cloner) {
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| 180 | RegisterEventHandlers();
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| 181 | }
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[5577] | 182 |
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[5618] | 183 | protected SymbolicDataAnalysisProblem(T problemData, U evaluator, V solutionCreator)
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| 184 | : base(evaluator, solutionCreator) {
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| 185 | Parameters.Add(new ValueParameter<T>(ProblemDataParameterName, ProblemDataParameterDescription, problemData));
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[5577] | 186 | Parameters.Add(new ValueParameter<ISymbolicDataAnalysisGrammar>(SymbolicExpressionTreeGrammarParameterName, SymbolicExpressionTreeGrammarParameterDescription));
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[5624] | 187 | Parameters.Add(new ValueParameter<ISymbolicDataAnalysisExpressionTreeInterpreter>(SymbolicExpressionTreeInterpreterParameterName, SymoblicExpressionTreeInterpreterParameterDescription));
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[5847] | 188 | Parameters.Add(new FixedValueParameter<IntValue>(MaximumSymbolicExpressionTreeDepthParameterName, MaximumSymbolicExpressionTreeDepthParameterDescription));
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| 189 | Parameters.Add(new FixedValueParameter<IntValue>(MaximumSymbolicExpressionTreeLengthParameterName, MaximumSymbolicExpressionTreeLengthParameterDescription));
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| 190 | Parameters.Add(new FixedValueParameter<IntValue>(MaximumFunctionDefinitionsParameterName, MaximumFunctionDefinitionsParameterDescription));
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| 191 | Parameters.Add(new FixedValueParameter<IntValue>(MaximumFunctionArgumentsParameterName, MaximumFunctionArgumentsParameterDescription));
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| 192 | Parameters.Add(new FixedValueParameter<IntRange>(FitnessCalculationPartitionParameterName, FitnessCalculationPartitionParameterDescription));
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| 193 | Parameters.Add(new FixedValueParameter<IntRange>(ValidationPartitionParameterName, ValidationPartitionParameterDescription));
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[5759] | 194 | Parameters.Add(new FixedValueParameter<PercentValue>(RelativeNumberOfEvaluatedSamplesParameterName, RelativeNumberOfEvaluatedSamplesParameterDescription, new PercentValue(1)));
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[8664] | 195 | Parameters.Add(new FixedValueParameter<BoolValue>(ApplyLinearScalingParameterName, ApplyLinearScalingParameterDescription, new BoolValue(false)));
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[5618] | 196 |
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[5854] | 197 | SymbolicExpressionTreeInterpreterParameter.Hidden = true;
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| 198 | MaximumFunctionArgumentsParameter.Hidden = true;
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| 199 | MaximumFunctionDefinitionsParameter.Hidden = true;
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[8664] | 200 | ApplyLinearScalingParameter.Hidden = true;
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[5854] | 201 |
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[5618] | 202 | SymbolicExpressionTreeGrammar = new TypeCoherentExpressionGrammar();
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[9830] | 203 | SymbolicExpressionTreeInterpreter = new SymbolicDataAnalysisExpressionTreeLinearInterpreter();
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[5618] | 204 |
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[5770] | 205 | FitnessCalculationPartition.Start = ProblemData.TrainingPartition.Start;
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| 206 | FitnessCalculationPartition.End = ProblemData.TrainingPartition.End;
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| 207 |
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[5722] | 208 | InitializeOperators();
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| 209 |
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[5618] | 210 | UpdateGrammar();
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| 211 | RegisterEventHandlers();
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[5577] | 212 | }
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| 213 |
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[5685] | 214 | protected virtual void UpdateGrammar() {
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[5726] | 215 | SymbolicExpressionTreeGrammar.MaximumFunctionArguments = MaximumFunctionArguments.Value;
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| 216 | SymbolicExpressionTreeGrammar.MaximumFunctionDefinitions = MaximumFunctionDefinitions.Value;
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[5685] | 217 | foreach (var varSymbol in SymbolicExpressionTreeGrammar.Symbols.OfType<HeuristicLab.Problems.DataAnalysis.Symbolic.Variable>()) {
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[8936] | 218 | if (!varSymbol.Fixed) {
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| 219 | varSymbol.AllVariableNames = ProblemData.InputVariables.Select(x => x.Value);
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| 220 | varSymbol.VariableNames = ProblemData.AllowedInputVariables;
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| 221 | }
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[5685] | 222 | }
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| 223 | foreach (var varSymbol in SymbolicExpressionTreeGrammar.Symbols.OfType<HeuristicLab.Problems.DataAnalysis.Symbolic.VariableCondition>()) {
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[8936] | 224 | if (!varSymbol.Fixed) {
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| 225 | varSymbol.AllVariableNames = ProblemData.InputVariables.Select(x => x.Value);
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| 226 | varSymbol.VariableNames = ProblemData.AllowedInputVariables;
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| 227 | }
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[5685] | 228 | }
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| 229 | }
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| 230 |
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[5618] | 231 | private void InitializeOperators() {
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| 232 | Operators.AddRange(ApplicationManager.Manager.GetInstances<ISymbolicExpressionTreeOperator>());
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[7506] | 233 | Operators.AddRange(ApplicationManager.Manager.GetInstances<ISymbolicDataAnalysisExpressionCrossover<T>>());
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[5618] | 234 | Operators.Add(new SymbolicExpressionSymbolFrequencyAnalyzer());
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[5685] | 235 | Operators.Add(new SymbolicDataAnalysisVariableFrequencyAnalyzer());
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[5618] | 236 | Operators.Add(new MinAverageMaxSymbolicExpressionTreeLengthAnalyzer());
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[6978] | 237 | Operators.Add(new SymbolicExpressionTreeLengthAnalyzer());
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[10278] | 238 | Operators.Add(new GenealogyAnalyzer<TGraph, TVertex, ISymbolicExpressionTree>());
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[5618] | 239 | ParameterizeOperators();
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| 240 | }
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| 241 |
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[5685] | 242 | #region events
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[5618] | 243 | private void RegisterEventHandlers() {
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| 244 | ProblemDataParameter.ValueChanged += new EventHandler(ProblemDataParameter_ValueChanged);
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| 245 | ProblemDataParameter.Value.Changed += (object sender, EventArgs e) => OnProblemDataChanged();
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| 246 |
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[5841] | 247 | SymbolicExpressionTreeGrammarParameter.ValueChanged += new EventHandler(SymbolicExpressionTreeGrammarParameter_ValueChanged);
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| 248 |
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[5618] | 249 | MaximumFunctionArguments.ValueChanged += new EventHandler(ArchitectureParameterValue_ValueChanged);
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| 250 | MaximumFunctionDefinitions.ValueChanged += new EventHandler(ArchitectureParameterValue_ValueChanged);
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| 251 | MaximumSymbolicExpressionTreeDepth.ValueChanged += new EventHandler(MaximumSymbolicExpressionTreeDepth_ValueChanged);
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| 252 | }
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| 253 |
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[5685] | 254 | private void ProblemDataParameter_ValueChanged(object sender, EventArgs e) {
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[5887] | 255 | ValidationPartition.Start = 0;
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| 256 | ValidationPartition.End = 0;
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[5685] | 257 | ProblemDataParameter.Value.Changed += (object s, EventArgs args) => OnProblemDataChanged();
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| 258 | OnProblemDataChanged();
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| 259 | }
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| 260 |
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[5841] | 261 | private void SymbolicExpressionTreeGrammarParameter_ValueChanged(object sender, EventArgs e) {
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| 262 | UpdateGrammar();
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| 263 | }
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| 264 |
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[5618] | 265 | private void ArchitectureParameterValue_ValueChanged(object sender, EventArgs e) {
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| 266 | UpdateGrammar();
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| 267 | }
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| 268 |
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| 269 | private void MaximumSymbolicExpressionTreeDepth_ValueChanged(object sender, EventArgs e) {
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| 270 | if (MaximumSymbolicExpressionTreeDepth != null && MaximumSymbolicExpressionTreeDepth.Value < 3)
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| 271 | MaximumSymbolicExpressionTreeDepth.Value = 3;
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| 272 | }
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| 273 |
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| 274 | protected override void OnSolutionCreatorChanged() {
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| 275 | base.OnSolutionCreatorChanged();
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| 276 | SolutionCreator.SymbolicExpressionTreeParameter.ActualNameChanged += new EventHandler(SolutionCreator_SymbolicExpressionTreeParameter_ActualNameChanged);
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| 277 | ParameterizeOperators();
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| 278 | }
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[5685] | 279 |
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[5618] | 280 | private void SolutionCreator_SymbolicExpressionTreeParameter_ActualNameChanged(object sender, EventArgs e) {
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| 281 | ParameterizeOperators();
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| 282 | }
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| 283 |
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| 284 | protected override void OnEvaluatorChanged() {
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| 285 | base.OnEvaluatorChanged();
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[5685] | 286 | ParameterizeOperators();
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[5618] | 287 | }
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| 288 |
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[5577] | 289 | public event EventHandler ProblemDataChanged;
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| 290 | protected virtual void OnProblemDataChanged() {
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[5770] | 291 | FitnessCalculationPartition.Start = ProblemData.TrainingPartition.Start;
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| 292 | FitnessCalculationPartition.End = ProblemData.TrainingPartition.End;
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| 293 |
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[5618] | 294 | UpdateGrammar();
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[5685] | 295 | ParameterizeOperators();
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| 296 |
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[5577] | 297 | var handler = ProblemDataChanged;
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| 298 | if (handler != null) handler(this, EventArgs.Empty);
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[5618] | 299 |
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| 300 | OnReset();
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[5577] | 301 | }
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[5685] | 302 | #endregion
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[5618] | 303 |
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[5685] | 304 | protected virtual void ParameterizeOperators() {
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[7506] | 305 | var operators = Parameters.OfType<IValueParameter>().Select(p => p.Value).OfType<IOperator>().Union(Operators).ToList();
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[5618] | 306 |
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| 307 | foreach (var op in operators.OfType<ISymbolicExpressionTreeGrammarBasedOperator>()) {
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[8664] | 308 | op.SymbolicExpressionTreeGrammarParameter.ActualName = SymbolicExpressionTreeGrammarParameter.Name;
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[5618] | 309 | }
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| 310 | foreach (var op in operators.OfType<ISymbolicExpressionTreeSizeConstraintOperator>()) {
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[8664] | 311 | op.MaximumSymbolicExpressionTreeDepthParameter.ActualName = MaximumSymbolicExpressionTreeDepthParameter.Name;
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| 312 | op.MaximumSymbolicExpressionTreeLengthParameter.ActualName = MaximumSymbolicExpressionTreeLengthParameter.Name;
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[5618] | 313 | }
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| 314 | foreach (var op in operators.OfType<ISymbolicExpressionTreeArchitectureAlteringOperator>()) {
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[8664] | 315 | op.MaximumFunctionArgumentsParameter.ActualName = MaximumFunctionArgumentsParameter.Name;
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| 316 | op.MaximumFunctionDefinitionsParameter.ActualName = MaximumFunctionDefinitionsParameter.Name;
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[5618] | 317 | }
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| 318 | foreach (var op in operators.OfType<ISymbolicDataAnalysisEvaluator<T>>()) {
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[5685] | 319 | op.ProblemDataParameter.ActualName = ProblemDataParameterName;
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[5618] | 320 | op.SymbolicExpressionTreeParameter.ActualName = SolutionCreator.SymbolicExpressionTreeParameter.ActualName;
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[5759] | 321 | op.EvaluationPartitionParameter.ActualName = FitnessCalculationPartitionParameter.Name;
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| 322 | op.RelativeNumberOfEvaluatedSamplesParameter.ActualName = RelativeNumberOfEvaluatedSamplesParameter.Name;
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[8664] | 323 | op.ApplyLinearScalingParameter.ActualName = ApplyLinearScalingParameter.Name;
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[5618] | 324 | }
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| 325 | foreach (var op in operators.OfType<ISymbolicExpressionTreeCrossover>()) {
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| 326 | op.ParentsParameter.ActualName = SolutionCreator.SymbolicExpressionTreeParameter.ActualName;
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| 327 | op.ChildParameter.ActualName = SolutionCreator.SymbolicExpressionTreeParameter.ActualName;
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| 328 | }
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| 329 | foreach (var op in operators.OfType<ISymbolicExpressionTreeManipulator>()) {
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| 330 | op.SymbolicExpressionTreeParameter.ActualName = SolutionCreator.SymbolicExpressionTreeParameter.ActualName;
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| 331 | }
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| 332 | foreach (var op in operators.OfType<ISymbolicExpressionTreeAnalyzer>()) {
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| 333 | op.SymbolicExpressionTreeParameter.ActualName = SolutionCreator.SymbolicExpressionTreeParameter.ActualName;
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| 334 | }
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[8664] | 335 | foreach (var op in operators.OfType<ISymbolicDataAnalysisSingleObjectiveAnalyzer>()) {
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| 336 | op.ApplyLinearScalingParameter.ActualName = ApplyLinearScalingParameter.Name;
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| 337 | }
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| 338 | foreach (var op in operators.OfType<ISymbolicDataAnalysisMultiObjectiveAnalyzer>()) {
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| 339 | op.ApplyLinearScalingParameter.ActualName = ApplyLinearScalingParameter.Name;
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| 340 | }
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[6135] | 341 | foreach (var op in operators.OfType<ISymbolicDataAnalysisAnalyzer>()) {
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| 342 | op.SymbolicExpressionTreeParameter.ActualName = SolutionCreator.SymbolicExpressionTreeParameter.ActualName;
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| 343 | }
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[5759] | 344 | foreach (var op in operators.OfType<ISymbolicDataAnalysisValidationAnalyzer<U, T>>()) {
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| 345 | op.RelativeNumberOfEvaluatedSamplesParameter.ActualName = RelativeNumberOfEvaluatedSamplesParameter.Name;
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[5883] | 346 | op.ValidationPartitionParameter.ActualName = ValidationPartitionParameter.Name;
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[5759] | 347 | }
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[5685] | 348 | foreach (var op in operators.OfType<ISymbolicDataAnalysisInterpreterOperator>()) {
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[8664] | 349 | op.SymbolicDataAnalysisTreeInterpreterParameter.ActualName = SymbolicExpressionTreeInterpreterParameter.Name;
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[5685] | 350 | }
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[7506] | 351 | foreach (var op in operators.OfType<ISymbolicDataAnalysisExpressionCrossover<T>>()) {
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[8664] | 352 | op.EvaluationPartitionParameter.ActualName = FitnessCalculationPartitionParameter.Name;
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[7506] | 353 | op.ProblemDataParameter.ActualName = ProblemDataParameter.Name;
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| 354 | op.EvaluationPartitionParameter.ActualName = FitnessCalculationPartitionParameter.Name;
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| 355 | op.RelativeNumberOfEvaluatedSamplesParameter.ActualName = RelativeNumberOfEvaluatedSamplesParameter.Name;
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| 356 | op.EvaluatorParameter.ActualName = EvaluatorParameter.Name;
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| 357 | }
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[10278] | 358 | // add tracking analyzer
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| 359 | foreach (var op in operators.OfType<GenealogyAnalyzer<TGraph, TVertex, ISymbolicExpressionTree>>()) {
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| 360 | var crossover = operators.OfType<ISymbolicExpressionTreeCrossover>().First();
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| 361 | op.CrossoverParentsParameterName = crossover.ParentsParameter.Name;
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| 362 | op.CrossoverChildParameterName = crossover.ChildParameter.Name;
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| 363 | var manipulator = operators.OfType<ISymbolicExpressionTreeManipulator>().First();
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| 364 | op.ManipulatorChildParameterName = manipulator.SymbolicExpressionTreeParameter.Name;
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| 365 | var creator = operators.OfType<ISymbolicExpressionTreeCreator>().First();
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| 366 | op.SolutionCreatorIndividualParameterName = creator.SymbolicExpressionTreeParameter.Name;
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| 367 | }
|
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[5618] | 368 | }
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[5623] | 369 |
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[7823] | 370 | #region Import & Export
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[9452] | 371 | public virtual void Load(T data) {
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[7823] | 372 | Name = data.Name;
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| 373 | Description = data.Description;
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| 374 | ProblemData = data;
|
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| 375 | }
|
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| 376 |
|
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[9452] | 377 | public virtual T Export() {
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[7823] | 378 | return ProblemData;
|
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| 379 | }
|
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| 380 | #endregion
|
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[5577] | 381 | }
|
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| 382 | }
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