| 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.ArchitectureManipulators;
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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 | using HeuristicLab.Encodings.SymbolicExpressionTreeEncoding.Interfaces;
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| 41 | using HeuristicLab.Problems.DataAnalysis.Regression.Symbolic.Analyzers;
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| 42 | using HeuristicLab.Encodings.SymbolicExpressionTreeEncoding.Analyzers;
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| 43 |
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| 44 | namespace HeuristicLab.Problems.DataAnalysis.Regression.Symbolic {
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| 45 | [Item("Symbolic Regression Problem", "Represents a symbolic regression problem.")]
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| 46 | [Creatable("Problems")]
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| 47 | [StorableClass]
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| 48 | public class SymbolicRegressionProblem : DataAnalysisProblem, ISingleObjectiveProblem {
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| 49 |
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| 50 | #region Parameter Properties
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| 51 | public ValueParameter<BoolValue> MaximizationParameter {
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| 52 | get { return (ValueParameter<BoolValue>)Parameters["Maximization"]; }
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| 53 | }
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| 54 | IParameter ISingleObjectiveProblem.MaximizationParameter {
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| 55 | get { return MaximizationParameter; }
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| 56 | }
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| 57 | public ValueParameter<SymbolicExpressionTreeCreator> SolutionCreatorParameter {
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| 58 | get { return (ValueParameter<SymbolicExpressionTreeCreator>)Parameters["SolutionCreator"]; }
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| 59 | }
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| 60 | IParameter IProblem.SolutionCreatorParameter {
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| 61 | get { return SolutionCreatorParameter; }
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| 62 | }
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| 63 | public ValueParameter<DoubleValue> LowerEstimationLimitParameter {
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| 64 | get { return (ValueParameter<DoubleValue>)Parameters["LowerEstimationLimit"]; }
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| 65 | }
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| 66 | public ValueParameter<DoubleValue> UpperEstimationLimitParameter {
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| 67 | get { return (ValueParameter<DoubleValue>)Parameters["UpperEstimationLimit"]; }
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| 68 | }
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| 69 | public ValueParameter<ISymbolicExpressionTreeInterpreter> SymbolicExpressionTreeInterpreterParameter {
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| 70 | get { return (ValueParameter<ISymbolicExpressionTreeInterpreter>)Parameters["SymbolicExpressionTreeInterpreter"]; }
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| 71 | }
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| 72 | public ValueParameter<ISymbolicRegressionEvaluator> EvaluatorParameter {
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| 73 | get { return (ValueParameter<ISymbolicRegressionEvaluator>)Parameters["Evaluator"]; }
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| 74 | }
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| 75 | IParameter IProblem.EvaluatorParameter {
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| 76 | get { return EvaluatorParameter; }
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| 77 | }
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| 78 | public ValueParameter<ISymbolicExpressionGrammar> FunctionTreeGrammarParameter {
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| 79 | get { return (ValueParameter<ISymbolicExpressionGrammar>)Parameters["FunctionTreeGrammar"]; }
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| 80 | }
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| 81 | public ValueParameter<IntValue> MaxExpressionLengthParameter {
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| 82 | get { return (ValueParameter<IntValue>)Parameters["MaxExpressionLength"]; }
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| 83 | }
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| 84 | public ValueParameter<IntValue> MaxExpressionDepthParameter {
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| 85 | get { return (ValueParameter<IntValue>)Parameters["MaxExpressionDepth"]; }
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| 86 | }
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| 87 | public ValueParameter<IntValue> MaxFunctionDefiningBranchesParameter {
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| 88 | get { return (ValueParameter<IntValue>)Parameters["MaxFunctionDefiningBranches"]; }
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| 89 | }
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| 90 | public ValueParameter<IntValue> MaxFunctionArgumentsParameter {
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| 91 | get { return (ValueParameter<IntValue>)Parameters["MaxFunctionArguments"]; }
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| 92 | }
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| 93 | public OptionalValueParameter<DoubleValue> BestKnownQualityParameter {
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| 94 | get { return (OptionalValueParameter<DoubleValue>)Parameters["BestKnownQuality"]; }
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| 95 | }
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| 96 | IParameter ISingleObjectiveProblem.BestKnownQualityParameter {
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| 97 | get { return BestKnownQualityParameter; }
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| 98 | }
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| 99 | #endregion
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| 100 |
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| 101 | #region Properties
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| 102 | public IntValue MaxExpressionLength {
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| 103 | get { return MaxExpressionLengthParameter.Value; }
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| 104 | set { MaxExpressionLengthParameter.Value = value; }
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| 105 | }
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| 106 | public IntValue MaxExpressionDepth {
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| 107 | get { return MaxExpressionDepthParameter.Value; }
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| 108 | set { MaxExpressionDepthParameter.Value = value; }
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| 109 | }
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| 110 | public IntValue MaxFunctionDefiningBranches {
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| 111 | get { return MaxFunctionDefiningBranchesParameter.Value; }
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| 112 | set { MaxFunctionDefiningBranchesParameter.Value = value; }
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| 113 | }
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| 114 | public IntValue MaxFunctionArguments {
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| 115 | get { return MaxFunctionArgumentsParameter.Value; }
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| 116 | set { MaxFunctionArgumentsParameter.Value = value; }
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| 117 | }
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| 118 | public SymbolicExpressionTreeCreator SolutionCreator {
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| 119 | get { return SolutionCreatorParameter.Value; }
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| 120 | set { SolutionCreatorParameter.Value = value; }
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| 121 | }
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| 122 | ISolutionCreator IProblem.SolutionCreator {
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| 123 | get { return SolutionCreatorParameter.Value; }
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| 124 | }
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| 125 | public ISymbolicExpressionTreeInterpreter SymbolicExpressionTreeInterpreter {
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| 126 | get { return SymbolicExpressionTreeInterpreterParameter.Value; }
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| 127 | set { SymbolicExpressionTreeInterpreterParameter.Value = value; }
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| 128 | }
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| 129 | public DoubleValue LowerEstimationLimit {
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| 130 | get { return LowerEstimationLimitParameter.Value; }
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| 131 | set { LowerEstimationLimitParameter.Value = value; }
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| 132 | }
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| 133 | public DoubleValue UpperEstimationLimit {
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| 134 | get { return UpperEstimationLimitParameter.Value; }
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| 135 | set { UpperEstimationLimitParameter.Value = value; }
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| 136 | }
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| 137 |
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| 138 | public ISymbolicRegressionEvaluator Evaluator {
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| 139 | get { return EvaluatorParameter.Value; }
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| 140 | set { EvaluatorParameter.Value = value; }
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| 141 | }
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| 142 | ISingleObjectiveEvaluator ISingleObjectiveProblem.Evaluator {
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| 143 | get { return EvaluatorParameter.Value; }
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| 144 | }
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| 145 | IEvaluator IProblem.Evaluator {
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| 146 | get { return EvaluatorParameter.Value; }
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| 147 | }
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| 148 | public ISymbolicExpressionGrammar FunctionTreeGrammar {
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| 149 | get { return (ISymbolicExpressionGrammar)FunctionTreeGrammarParameter.Value; }
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| 150 | }
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| 151 | public DoubleValue BestKnownQuality {
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| 152 | get { return BestKnownQualityParameter.Value; }
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| 153 | }
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| 154 | private List<IOperator> operators;
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| 155 | public IEnumerable<IOperator> Operators {
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| 156 | get { return operators; }
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| 157 | }
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| 158 | public IEnumerable<ISymbolicRegressionAnalyzer> Analyzers {
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| 159 | get { return operators.OfType<ISymbolicRegressionAnalyzer>(); }
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| 160 | }
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| 161 | public DoubleValue PunishmentFactor {
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| 162 | get { return new DoubleValue(10.0); }
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| 163 | }
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| 164 | public IntValue TrainingSamplesStart {
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| 165 | get { return new IntValue(DataAnalysisProblemData.TrainingSamplesStart.Value); }
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| 166 | }
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| 167 | public IntValue TrainingSamplesEnd {
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| 168 | get {
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| 169 | return new IntValue((DataAnalysisProblemData.TrainingSamplesStart.Value +
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| 170 | DataAnalysisProblemData.TrainingSamplesEnd.Value) / 2);
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| 171 | }
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| 172 | }
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| 173 | public IntValue ValidationSamplesStart {
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| 174 | get { return TrainingSamplesEnd; }
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| 175 | }
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| 176 | public IntValue ValidationSamplesEnd {
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| 177 | get { return new IntValue(DataAnalysisProblemData.TrainingSamplesEnd.Value); }
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| 178 | }
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| 179 | public IntValue TestSamplesStart {
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| 180 | get { return DataAnalysisProblemData.TestSamplesStart; }
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| 181 | }
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| 182 | public IntValue TestSamplesEnd {
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| 183 | get { return DataAnalysisProblemData.TestSamplesEnd; }
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| 184 | }
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| 185 | #endregion
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| 186 |
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| 187 | public SymbolicRegressionProblem()
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| 188 | : base() {
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| 189 | SymbolicExpressionTreeCreator creator = new ProbabilisticTreeCreator();
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| 190 | var evaluator = new SymbolicRegressionScaledMeanSquaredErrorEvaluator();
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| 191 | var grammar = new ArithmeticExpressionGrammar();
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| 192 | var globalGrammar = new GlobalSymbolicExpressionGrammar(grammar);
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| 193 | var interpreter = new SimpleArithmeticExpressionInterpreter();
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| 194 | Parameters.Add(new ValueParameter<BoolValue>("Maximization", "Set to false as the error of the regression model should be minimized.", (BoolValue)new BoolValue(false).AsReadOnly()));
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| 195 | Parameters.Add(new ValueParameter<SymbolicExpressionTreeCreator>("SolutionCreator", "The operator which should be used to create new symbolic regression solutions.", creator));
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| 196 | Parameters.Add(new ValueParameter<ISymbolicExpressionTreeInterpreter>("SymbolicExpressionTreeInterpreter", "The interpreter that should be used to evaluate the symbolic expression tree.", interpreter));
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| 197 | Parameters.Add(new ValueParameter<ISymbolicRegressionEvaluator>("Evaluator", "The operator which should be used to evaluate symbolic regression solutions.", evaluator));
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| 198 | Parameters.Add(new ValueParameter<DoubleValue>("LowerEstimationLimit", "The lower limit for the estimated value that can be returned by the symbolic regression model.", new DoubleValue(double.NegativeInfinity)));
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| 199 | Parameters.Add(new ValueParameter<DoubleValue>("UpperEstimationLimit", "The upper limit for the estimated value that can be returned by the symbolic regression model.", new DoubleValue(double.PositiveInfinity)));
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| 200 | Parameters.Add(new OptionalValueParameter<DoubleValue>("BestKnownQuality", "The minimal error value that reached by symbolic regression solutions for the problem."));
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| 201 | Parameters.Add(new ValueParameter<ISymbolicExpressionGrammar>("FunctionTreeGrammar", "The grammar that should be used for symbolic regression models.", globalGrammar));
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| 202 | Parameters.Add(new ValueParameter<IntValue>("MaxExpressionLength", "Maximal length of the symbolic expression.", new IntValue(100)));
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| 203 | Parameters.Add(new ValueParameter<IntValue>("MaxExpressionDepth", "Maximal depth of the symbolic expression.", new IntValue(10)));
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| 204 | Parameters.Add(new ValueParameter<IntValue>("MaxFunctionDefiningBranches", "Maximal number of automatically defined functions.", (IntValue)new IntValue(0).AsReadOnly()));
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| 205 | Parameters.Add(new ValueParameter<IntValue>("MaxFunctionArguments", "Maximal number of arguments of automatically defined functions.", (IntValue)new IntValue(0).AsReadOnly()));
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| 206 |
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| 207 | creator.SymbolicExpressionTreeParameter.ActualName = "SymbolicRegressionModel";
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| 208 | evaluator.QualityParameter.ActualName = "TrainingMeanSquaredError";
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| 209 |
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| 210 | ParameterizeSolutionCreator();
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| 211 | ParameterizeEvaluator();
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| 212 |
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| 213 | UpdateGrammar();
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| 214 | UpdateEstimationLimits();
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| 215 | Initialize();
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| 216 | }
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| 217 |
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| 218 | [StorableConstructor]
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| 219 | private SymbolicRegressionProblem(bool deserializing) : base() { }
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| 220 |
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| 221 | [StorableHook(HookType.AfterDeserialization)]
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| 222 | private void AfterDeserializationHook() {
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| 223 | Initialize();
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| 224 | }
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| 225 |
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| 226 | public override IDeepCloneable Clone(Cloner cloner) {
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| 227 | SymbolicRegressionProblem clone = (SymbolicRegressionProblem)base.Clone(cloner);
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| 228 | clone.Initialize();
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| 229 | return clone;
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| 230 | }
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| 231 |
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| 232 | private void RegisterParameterValueEvents() {
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| 233 | MaxFunctionArgumentsParameter.ValueChanged += new EventHandler(ArchitectureParameter_ValueChanged);
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| 234 | MaxFunctionDefiningBranchesParameter.ValueChanged += new EventHandler(ArchitectureParameter_ValueChanged);
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| 235 | SolutionCreatorParameter.ValueChanged += new EventHandler(SolutionCreatorParameter_ValueChanged);
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| 236 | EvaluatorParameter.ValueChanged += new EventHandler(EvaluatorParameter_ValueChanged);
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| 237 | }
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| 238 |
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| 239 | private void RegisterParameterEvents() {
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| 240 | MaxFunctionArgumentsParameter.Value.ValueChanged += new EventHandler(ArchitectureParameter_ValueChanged);
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| 241 | MaxFunctionDefiningBranchesParameter.Value.ValueChanged += new EventHandler(ArchitectureParameter_ValueChanged);
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| 242 | SolutionCreator.SymbolicExpressionTreeParameter.ActualNameChanged += new EventHandler(SolutionCreator_SymbolicExpressionTreeParameter_ActualNameChanged);
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| 243 | Evaluator.QualityParameter.ActualNameChanged += new EventHandler(Evaluator_QualityParameter_ActualNameChanged);
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| 244 | }
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| 245 |
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| 246 | #region event handling
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| 247 | protected override void OnDataAnalysisProblemChanged(EventArgs e) {
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| 248 | base.OnDataAnalysisProblemChanged(e);
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| 249 | // paritions could be changed
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| 250 | ParameterizeEvaluator();
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| 251 | ParameterizeAnalyzers();
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| 252 | // input variables could have been changed
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| 253 | UpdateGrammar();
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| 254 | // estimation limits have to be recalculated
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| 255 | UpdateEstimationLimits();
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| 256 | }
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| 257 | protected virtual void OnArchitectureParameterChanged(EventArgs e) {
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| 258 | UpdateGrammar();
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| 259 | }
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| 260 | protected virtual void OnGrammarChanged(EventArgs e) { }
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| 261 | protected virtual void OnOperatorsChanged(EventArgs e) { RaiseOperatorsChanged(e); }
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| 262 | protected virtual void OnSolutionCreatorChanged(EventArgs e) {
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| 263 | SolutionCreator.SymbolicExpressionTreeParameter.ActualNameChanged += new EventHandler(SolutionCreator_SymbolicExpressionTreeParameter_ActualNameChanged);
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| 264 | ParameterizeSolutionCreator();
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| 265 | OnSolutionParameterNameChanged(e);
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| 266 | RaiseSolutionCreatorChanged(e);
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| 267 | }
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| 268 |
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| 269 | protected virtual void OnSolutionParameterNameChanged(EventArgs e) {
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| 270 | ParameterizeEvaluator();
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| 271 | ParameterizeAnalyzers();
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| 272 | ParameterizeOperators();
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| 273 | }
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| 274 |
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| 275 | protected virtual void OnEvaluatorChanged(EventArgs e) {
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| 276 | Evaluator.QualityParameter.ActualNameChanged += new EventHandler(Evaluator_QualityParameter_ActualNameChanged);
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| 277 | ParameterizeEvaluator();
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| 278 | ParameterizeAnalyzers();
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| 279 | RaiseEvaluatorChanged(e);
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| 280 | }
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| 281 | protected virtual void OnQualityParameterNameChanged(EventArgs e) {
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| 282 | ParameterizeAnalyzers();
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| 283 | }
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| 284 | #endregion
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| 285 |
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| 286 | #region event handlers
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| 287 | private void SolutionCreatorParameter_ValueChanged(object sender, EventArgs e) {
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| 288 | OnSolutionCreatorChanged(e);
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| 289 | }
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| 290 | private void SolutionCreator_SymbolicExpressionTreeParameter_ActualNameChanged(object sender, EventArgs e) {
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| 291 | OnSolutionParameterNameChanged(e);
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| 292 | }
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| 293 | private void EvaluatorParameter_ValueChanged(object sender, EventArgs e) {
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| 294 | OnEvaluatorChanged(e);
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| 295 | }
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| 296 | private void ArchitectureParameter_ValueChanged(object sender, EventArgs e) {
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| 297 | OnArchitectureParameterChanged(e);
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| 298 | }
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| 299 | private void Evaluator_QualityParameter_ActualNameChanged(object sender, EventArgs e) {
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| 300 | OnQualityParameterNameChanged(e);
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| 301 | }
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| 302 | #endregion
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| 303 |
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| 304 | #region events
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| 305 | public event EventHandler SolutionCreatorChanged;
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| 306 | private void RaiseSolutionCreatorChanged(EventArgs e) {
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| 307 | var changed = SolutionCreatorChanged;
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| 308 | if (changed != null)
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| 309 | changed(this, e);
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| 310 | }
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| 311 | public event EventHandler EvaluatorChanged;
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| 312 | private void RaiseEvaluatorChanged(EventArgs e) {
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| 313 | var changed = EvaluatorChanged;
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| 314 | if (changed != null)
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| 315 | changed(this, e);
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| 316 | }
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| 317 |
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| 318 | public event EventHandler OperatorsChanged;
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| 319 | private void RaiseOperatorsChanged(EventArgs e) {
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| 320 | var changed = OperatorsChanged;
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| 321 | if (changed != null)
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| 322 | changed(this, e);
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| 323 | }
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| 324 | #endregion
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| 325 |
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| 326 | #region Helpers
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| 327 | private void Initialize() {
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| 328 | InitializeOperators();
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| 329 | RegisterParameterEvents();
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| 330 | RegisterParameterValueEvents();
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| 331 | }
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| 332 |
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| 333 | private void UpdateGrammar() {
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| 334 | foreach (var varSymbol in FunctionTreeGrammar.Symbols.OfType<HeuristicLab.Problems.DataAnalysis.Symbolic.Symbols.Variable>()) {
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| 335 | varSymbol.VariableNames = DataAnalysisProblemData.InputVariables.CheckedItems.Select(x => x.Value.Value);
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| 336 | }
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| 337 | var globalGrammar = FunctionTreeGrammar as GlobalSymbolicExpressionGrammar;
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| 338 | if (globalGrammar != null) {
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| 339 | globalGrammar.MaxFunctionArguments = MaxFunctionArguments.Value;
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| 340 | globalGrammar.MaxFunctionDefinitions = MaxFunctionDefiningBranches.Value;
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| 341 | }
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| 342 | }
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| 343 |
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| 344 | private void UpdateEstimationLimits() {
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| 345 | if (TrainingSamplesStart.Value < TrainingSamplesEnd.Value &&
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| 346 | DataAnalysisProblemData.Dataset.VariableNames.Contains(DataAnalysisProblemData.TargetVariable.Value)) {
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| 347 | var targetValues = DataAnalysisProblemData.Dataset.GetVariableValues(DataAnalysisProblemData.TargetVariable.Value, TrainingSamplesStart.Value, TrainingSamplesEnd.Value);
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| 348 | var mean = targetValues.Average();
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| 349 | var range = targetValues.Max() - targetValues.Min();
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| 350 | UpperEstimationLimit = new DoubleValue(mean + PunishmentFactor.Value * range);
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| 351 | LowerEstimationLimit = new DoubleValue(mean - PunishmentFactor.Value * range);
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| 352 | }
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| 353 | }
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| 354 |
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| 355 | private void InitializeOperators() {
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| 356 | operators = new List<IOperator>();
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| 357 | operators.AddRange(ApplicationManager.Manager.GetInstances<ISymbolicExpressionTreeOperator>().OfType<IOperator>());
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| 358 | operators.Add(new ValidationBestScaledSymbolicRegressionSolutionAnalyzer());
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| 359 | operators.Add(new MinAvgMaxSymbolicExpressionTreeSizeAnalyzer());
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| 360 | operators.Add(new SymbolicRegressionVariableFrequencyAnalyzer());
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| 361 | operators.Add(new SymbolicRegressionModelQualityAnalyzer());
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| 362 | ParameterizeOperators();
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| 363 | ParameterizeAnalyzers();
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| 364 | }
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| 365 |
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| 366 | private void ParameterizeSolutionCreator() {
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| 367 | SolutionCreator.SymbolicExpressionGrammarParameter.ActualName = FunctionTreeGrammarParameter.Name;
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| 368 | SolutionCreator.MaxTreeHeightParameter.ActualName = MaxExpressionDepthParameter.Name;
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| 369 | SolutionCreator.MaxTreeSizeParameter.ActualName = MaxExpressionLengthParameter.Name;
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| 370 | SolutionCreator.MaxFunctionArgumentsParameter.ActualName = MaxFunctionArgumentsParameter.Name;
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| 371 | SolutionCreator.MaxFunctionDefinitionsParameter.ActualName = MaxFunctionDefiningBranchesParameter.Name;
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| 372 | }
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| 373 |
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| 374 | private void ParameterizeEvaluator() {
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| 375 | Evaluator.SymbolicExpressionTreeParameter.ActualName = SolutionCreator.SymbolicExpressionTreeParameter.ActualName;
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| 376 | Evaluator.RegressionProblemDataParameter.ActualName = DataAnalysisProblemDataParameter.Name;
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| 377 | Evaluator.SamplesStartParameter.Value = TrainingSamplesStart;
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| 378 | Evaluator.SamplesEndParameter.Value = TrainingSamplesEnd;
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| 379 | }
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| 380 |
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| 381 | private void ParameterizeAnalyzers() {
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| 382 | foreach (var analyzer in Analyzers) {
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| 383 | analyzer.SymbolicExpressionTreeParameter.ActualName = SolutionCreator.SymbolicExpressionTreeParameter.ActualName;
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| 384 | var bestValidationSolutionAnalyzer = analyzer as ValidationBestScaledSymbolicRegressionSolutionAnalyzer;
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| 385 | if (bestValidationSolutionAnalyzer != null) {
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| 386 | bestValidationSolutionAnalyzer.ProblemDataParameter.ActualName = DataAnalysisProblemDataParameter.Name;
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| 387 | bestValidationSolutionAnalyzer.UpperEstimationLimitParameter.ActualName = UpperEstimationLimitParameter.Name;
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| 388 | bestValidationSolutionAnalyzer.LowerEstimationLimitParameter.ActualName = LowerEstimationLimitParameter.Name;
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| 389 | bestValidationSolutionAnalyzer.SymbolicExpressionTreeInterpreterParameter.ActualName = SymbolicExpressionTreeInterpreterParameter.Name;
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| 390 | bestValidationSolutionAnalyzer.SymbolicExpressionTreeParameter.ActualName = SolutionCreator.SymbolicExpressionTreeParameter.ActualName;
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| 391 | bestValidationSolutionAnalyzer.SamplesStartParameter.Value = ValidationSamplesStart;
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| 392 | bestValidationSolutionAnalyzer.SamplesEndParameter.Value = ValidationSamplesEnd;
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| 393 | }
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| 394 | var varFreqAnalyzer = analyzer as SymbolicRegressionVariableFrequencyAnalyzer;
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| 395 | if (varFreqAnalyzer != null) {
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| 396 | varFreqAnalyzer.ProblemDataParameter.ActualName = DataAnalysisProblemDataParameter.Name;
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| 397 | }
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| 398 | var modelQualityAnalyzer = analyzer as SymbolicRegressionModelQualityAnalyzer;
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| 399 | if (modelQualityAnalyzer != null) {
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| 400 | modelQualityAnalyzer.ProblemDataParameter.ActualName = DataAnalysisProblemDataParameter.Name;
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| 401 | modelQualityAnalyzer.SymbolicExpressionTreeParameter.ActualName = SolutionCreator.SymbolicExpressionTreeParameter.ActualName;
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| 402 | modelQualityAnalyzer.UpperEstimationLimitParameter.ActualName = UpperEstimationLimitParameter.Name;
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| 403 | modelQualityAnalyzer.LowerEstimationLimitParameter.ActualName = LowerEstimationLimitParameter.Name;
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| 404 | modelQualityAnalyzer.SymbolicExpressionTreeInterpreterParameter.ActualName = SymbolicExpressionTreeInterpreterParameter.Name;
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| 405 | modelQualityAnalyzer.TrainingSamplesStartParameter.Value = TrainingSamplesStart;
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| 406 | modelQualityAnalyzer.TrainingSamplesEndParameter.Value = ValidationSamplesEnd;
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| 407 | modelQualityAnalyzer.TestSamplesStartParameter.Value = TestSamplesStart;
|
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| 408 | modelQualityAnalyzer.TestSamplesEndParameter.Value = TestSamplesEnd;
|
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| 409 | }
|
|---|
| 410 | }
|
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| 411 | foreach (ISymbolicExpressionTreeAnalyzer analyzer in Operators.OfType<ISymbolicExpressionTreeAnalyzer>()) {
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| 412 | analyzer.SymbolicExpressionTreeParameter.ActualName = SolutionCreator.SymbolicExpressionTreeParameter.ActualName;
|
|---|
| 413 | }
|
|---|
| 414 | }
|
|---|
| 415 |
|
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| 416 | private void ParameterizeOperators() {
|
|---|
| 417 | foreach (ISymbolicExpressionTreeOperator op in Operators.OfType<ISymbolicExpressionTreeOperator>()) {
|
|---|
| 418 | op.MaxTreeHeightParameter.ActualName = MaxExpressionDepthParameter.Name;
|
|---|
| 419 | op.MaxTreeSizeParameter.ActualName = MaxExpressionLengthParameter.Name;
|
|---|
| 420 | op.SymbolicExpressionGrammarParameter.ActualName = FunctionTreeGrammarParameter.Name;
|
|---|
| 421 | }
|
|---|
| 422 | foreach (ISymbolicExpressionTreeCrossover op in Operators.OfType<ISymbolicExpressionTreeCrossover>()) {
|
|---|
| 423 | op.ParentsParameter.ActualName = SolutionCreator.SymbolicExpressionTreeParameter.ActualName;
|
|---|
| 424 | op.ChildParameter.ActualName = SolutionCreator.SymbolicExpressionTreeParameter.ActualName;
|
|---|
| 425 | }
|
|---|
| 426 | foreach (ISymbolicExpressionTreeManipulator op in Operators.OfType<ISymbolicExpressionTreeManipulator>()) {
|
|---|
| 427 | op.SymbolicExpressionTreeParameter.ActualName = SolutionCreator.SymbolicExpressionTreeParameter.ActualName;
|
|---|
| 428 | }
|
|---|
| 429 | foreach (ISymbolicExpressionTreeArchitectureManipulator op in Operators.OfType<ISymbolicExpressionTreeArchitectureManipulator>()) {
|
|---|
| 430 | op.MaxFunctionArgumentsParameter.ActualName = MaxFunctionArgumentsParameter.Name;
|
|---|
| 431 | op.MaxFunctionDefinitionsParameter.ActualName = MaxFunctionDefiningBranchesParameter.Name;
|
|---|
| 432 | }
|
|---|
| 433 | }
|
|---|
| 434 | #endregion
|
|---|
| 435 | }
|
|---|
| 436 | }
|
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