| 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 HeuristicLab.Common;
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| 26 | using HeuristicLab.Core;
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| 27 | using HeuristicLab.Data;
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| 28 | using HeuristicLab.Encodings.SymbolicExpressionTreeEncoding;
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| 29 | using HeuristicLab.Encodings.SymbolicExpressionTreeEncoding.Analyzers;
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| 30 | using HeuristicLab.Encodings.SymbolicExpressionTreeEncoding.Creators;
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| 31 | using HeuristicLab.Encodings.SymbolicExpressionTreeEncoding.Interfaces;
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| 32 | using HeuristicLab.Optimization;
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| 33 | using HeuristicLab.Parameters;
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| 34 | using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
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| 35 | using HeuristicLab.PluginInfrastructure;
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| 36 | using HeuristicLab.Problems.DataAnalysis.Regression.Symbolic.Analyzers;
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| 37 | using HeuristicLab.Problems.DataAnalysis.Symbolic;
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| 38 |
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| 39 | namespace HeuristicLab.Problems.DataAnalysis.Regression.Symbolic {
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| 40 | [Item("Symbolic Regression Problem", "Represents a symbolic regression problem.")]
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| 41 | [Creatable("Problems")]
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| 42 | [StorableClass]
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| 43 | public class SymbolicRegressionProblem : DataAnalysisProblem, ISingleObjectiveProblem {
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| 44 |
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| 45 | #region Parameter Properties
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| 46 | public ValueParameter<BoolValue> MaximizationParameter {
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| 47 | get { return (ValueParameter<BoolValue>)Parameters["Maximization"]; }
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| 48 | }
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| 49 | IParameter ISingleObjectiveProblem.MaximizationParameter {
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| 50 | get { return MaximizationParameter; }
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| 51 | }
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| 52 | public new ValueParameter<SymbolicExpressionTreeCreator> SolutionCreatorParameter {
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| 53 | get { return (ValueParameter<SymbolicExpressionTreeCreator>)Parameters["SolutionCreator"]; }
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| 54 | }
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| 55 | IParameter IProblem.SolutionCreatorParameter {
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| 56 | get { return SolutionCreatorParameter; }
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| 57 | }
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| 58 | public ValueParameter<DoubleValue> LowerEstimationLimitParameter {
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| 59 | get { return (ValueParameter<DoubleValue>)Parameters["LowerEstimationLimit"]; }
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| 60 | }
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| 61 | public ValueParameter<DoubleValue> UpperEstimationLimitParameter {
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| 62 | get { return (ValueParameter<DoubleValue>)Parameters["UpperEstimationLimit"]; }
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| 63 | }
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| 64 | public ValueParameter<ISymbolicExpressionTreeInterpreter> SymbolicExpressionTreeInterpreterParameter {
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| 65 | get { return (ValueParameter<ISymbolicExpressionTreeInterpreter>)Parameters["SymbolicExpressionTreeInterpreter"]; }
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| 66 | }
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| 67 | public new ValueParameter<ISymbolicRegressionEvaluator> EvaluatorParameter {
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| 68 | get { return (ValueParameter<ISymbolicRegressionEvaluator>)Parameters["Evaluator"]; }
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| 69 | }
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| 70 | IParameter IProblem.EvaluatorParameter {
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| 71 | get { return EvaluatorParameter; }
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| 72 | }
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| 73 | public ValueParameter<ISymbolicExpressionGrammar> FunctionTreeGrammarParameter {
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| 74 | get { return (ValueParameter<ISymbolicExpressionGrammar>)Parameters["FunctionTreeGrammar"]; }
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| 75 | }
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| 76 | public ValueParameter<IntValue> MaxExpressionLengthParameter {
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| 77 | get { return (ValueParameter<IntValue>)Parameters["MaxExpressionLength"]; }
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| 78 | }
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| 79 | public ValueParameter<IntValue> MaxExpressionDepthParameter {
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| 80 | get { return (ValueParameter<IntValue>)Parameters["MaxExpressionDepth"]; }
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| 81 | }
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| 82 | public ValueParameter<IntValue> MaxFunctionDefiningBranchesParameter {
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| 83 | get { return (ValueParameter<IntValue>)Parameters["MaxFunctionDefiningBranches"]; }
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| 84 | }
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| 85 | public ValueParameter<IntValue> MaxFunctionArgumentsParameter {
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| 86 | get { return (ValueParameter<IntValue>)Parameters["MaxFunctionArguments"]; }
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| 87 | }
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| 88 | public OptionalValueParameter<DoubleValue> BestKnownQualityParameter {
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| 89 | get { return (OptionalValueParameter<DoubleValue>)Parameters["BestKnownQuality"]; }
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| 90 | }
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| 91 | IParameter ISingleObjectiveProblem.BestKnownQualityParameter {
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| 92 | get { return BestKnownQualityParameter; }
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| 93 | }
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| 94 | #endregion
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| 95 |
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| 96 | #region Properties
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| 97 | public IntValue MaxExpressionLength {
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| 98 | get { return MaxExpressionLengthParameter.Value; }
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| 99 | set { MaxExpressionLengthParameter.Value = value; }
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| 100 | }
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| 101 | public IntValue MaxExpressionDepth {
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| 102 | get { return MaxExpressionDepthParameter.Value; }
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| 103 | set { MaxExpressionDepthParameter.Value = value; }
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| 104 | }
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| 105 | public IntValue MaxFunctionDefiningBranches {
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| 106 | get { return MaxFunctionDefiningBranchesParameter.Value; }
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| 107 | set { MaxFunctionDefiningBranchesParameter.Value = value; }
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| 108 | }
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| 109 | public IntValue MaxFunctionArguments {
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| 110 | get { return MaxFunctionArgumentsParameter.Value; }
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| 111 | set { MaxFunctionArgumentsParameter.Value = value; }
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| 112 | }
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| 113 | public new SymbolicExpressionTreeCreator SolutionCreator {
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| 114 | get { return SolutionCreatorParameter.Value; }
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| 115 | set { SolutionCreatorParameter.Value = value; }
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| 116 | }
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| 117 | ISolutionCreator IProblem.SolutionCreator {
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| 118 | get { return SolutionCreatorParameter.Value; }
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| 119 | }
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| 120 | public ISymbolicExpressionTreeInterpreter SymbolicExpressionTreeInterpreter {
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| 121 | get { return SymbolicExpressionTreeInterpreterParameter.Value; }
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| 122 | set { SymbolicExpressionTreeInterpreterParameter.Value = value; }
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| 123 | }
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| 124 | public DoubleValue LowerEstimationLimit {
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| 125 | get { return LowerEstimationLimitParameter.Value; }
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| 126 | set { LowerEstimationLimitParameter.Value = value; }
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| 127 | }
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| 128 | public DoubleValue UpperEstimationLimit {
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| 129 | get { return UpperEstimationLimitParameter.Value; }
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| 130 | set { UpperEstimationLimitParameter.Value = value; }
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| 131 | }
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| 132 |
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| 133 | public new ISymbolicRegressionEvaluator Evaluator {
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| 134 | get { return EvaluatorParameter.Value; }
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| 135 | set { EvaluatorParameter.Value = value; }
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| 136 | }
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| 137 | ISingleObjectiveEvaluator ISingleObjectiveProblem.Evaluator {
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| 138 | get { return EvaluatorParameter.Value; }
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| 139 | }
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| 140 | IEvaluator IProblem.Evaluator {
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| 141 | get { return EvaluatorParameter.Value; }
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| 142 | }
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| 143 | public ISymbolicExpressionGrammar FunctionTreeGrammar {
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| 144 | get { return (ISymbolicExpressionGrammar)FunctionTreeGrammarParameter.Value; }
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| 145 | }
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| 146 | public DoubleValue BestKnownQuality {
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| 147 | get { return BestKnownQualityParameter.Value; }
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| 148 | }
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| 149 | public override IEnumerable<IOperator> Operators {
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| 150 | get { return operators; }
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| 151 | }
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| 152 | public IEnumerable<ISymbolicRegressionAnalyzer> Analyzers {
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| 153 | get { return operators.OfType<ISymbolicRegressionAnalyzer>(); }
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| 154 | }
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| 155 | public DoubleValue PunishmentFactor {
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| 156 | get { return new DoubleValue(10.0); }
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| 157 | }
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| 158 | public IntValue TrainingSamplesStart {
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| 159 | get { return new IntValue(DataAnalysisProblemData.TrainingSamplesStart.Value); }
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| 160 | }
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| 161 | public IntValue TrainingSamplesEnd {
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| 162 | get {
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| 163 | return new IntValue((DataAnalysisProblemData.TrainingSamplesStart.Value +
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| 164 | DataAnalysisProblemData.TrainingSamplesEnd.Value) / 2);
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| 165 | }
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| 166 | }
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| 167 | public IntValue ValidationSamplesStart {
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| 168 | get { return TrainingSamplesEnd; }
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| 169 | }
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| 170 | public IntValue ValidationSamplesEnd {
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| 171 | get { return new IntValue(DataAnalysisProblemData.TrainingSamplesEnd.Value); }
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| 172 | }
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| 173 | public IntValue TestSamplesStart {
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| 174 | get { return DataAnalysisProblemData.TestSamplesStart; }
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| 175 | }
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| 176 | public IntValue TestSamplesEnd {
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| 177 | get { return DataAnalysisProblemData.TestSamplesEnd; }
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| 178 | }
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| 179 | #endregion
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| 180 |
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| 181 | [Storable]
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| 182 | private List<IOperator> operators;
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| 183 |
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| 184 | [StorableConstructor]
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| 185 | protected SymbolicRegressionProblem(bool deserializing) : base(deserializing) { }
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| 186 | public SymbolicRegressionProblem()
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| 187 | : base() {
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| 188 | SymbolicExpressionTreeCreator creator = new ProbabilisticTreeCreator();
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| 189 | var evaluator = new SymbolicRegressionScaledMeanSquaredErrorEvaluator();
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| 190 | var grammar = new FullFunctionalExpressionGrammar();
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| 191 | var globalGrammar = new GlobalSymbolicExpressionGrammar(grammar);
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| 192 | var interpreter = new SimpleArithmeticExpressionInterpreter();
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| 193 | 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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| 194 | Parameters.Add(new ValueParameter<SymbolicExpressionTreeCreator>("SolutionCreator", "The operator which should be used to create new symbolic regression solutions.", creator));
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| 195 | Parameters.Add(new ValueParameter<ISymbolicExpressionTreeInterpreter>("SymbolicExpressionTreeInterpreter", "The interpreter that should be used to evaluate the symbolic expression tree.", interpreter));
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| 196 | Parameters.Add(new ValueParameter<ISymbolicRegressionEvaluator>("Evaluator", "The operator which should be used to evaluate symbolic regression solutions.", evaluator));
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| 197 | 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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| 198 | 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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| 199 | Parameters.Add(new OptionalValueParameter<DoubleValue>("BestKnownQuality", "The minimal error value that reached by symbolic regression solutions for the problem."));
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| 200 | Parameters.Add(new ValueParameter<ISymbolicExpressionGrammar>("FunctionTreeGrammar", "The grammar that should be used for symbolic regression models.", globalGrammar));
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| 201 | Parameters.Add(new ValueParameter<IntValue>("MaxExpressionLength", "Maximal length of the symbolic expression.", new IntValue(100)));
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| 202 | Parameters.Add(new ValueParameter<IntValue>("MaxExpressionDepth", "Maximal depth of the symbolic expression.", new IntValue(10)));
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| 203 | Parameters.Add(new ValueParameter<IntValue>("MaxFunctionDefiningBranches", "Maximal number of automatically defined functions.", (IntValue)new IntValue(0).AsReadOnly()));
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| 204 | Parameters.Add(new ValueParameter<IntValue>("MaxFunctionArguments", "Maximal number of arguments of automatically defined functions.", (IntValue)new IntValue(0).AsReadOnly()));
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| 205 |
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| 206 | creator.SymbolicExpressionTreeParameter.ActualName = "SymbolicRegressionModel";
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| 207 | evaluator.QualityParameter.ActualName = "TrainingMeanSquaredError";
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| 208 |
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| 209 | ParameterizeSolutionCreator();
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| 210 | ParameterizeEvaluator();
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| 211 |
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| 212 | UpdateGrammar();
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| 213 | UpdateEstimationLimits();
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| 214 | InitializeOperators();
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| 215 | RegisterParameterEvents();
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| 216 | RegisterParameterValueEvents();
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| 217 | }
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| 218 |
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| 219 | public override IDeepCloneable Clone(Cloner cloner) {
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| 220 | SymbolicRegressionProblem clone = (SymbolicRegressionProblem)base.Clone(cloner);
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| 221 | clone.operators = operators.Select(x => (IOperator)cloner.Clone(x)).ToList();
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| 222 | clone.RegisterParameterEvents();
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| 223 | clone.RegisterParameterValueEvents();
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| 224 | return clone;
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| 225 | }
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| 226 |
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| 227 | private void RegisterParameterValueEvents() {
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| 228 | MaxFunctionArgumentsParameter.ValueChanged += new EventHandler(ArchitectureParameter_ValueChanged);
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| 229 | MaxFunctionDefiningBranchesParameter.ValueChanged += new EventHandler(ArchitectureParameter_ValueChanged);
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| 230 | SolutionCreatorParameter.ValueChanged += new EventHandler(SolutionCreatorParameter_ValueChanged);
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| 231 | EvaluatorParameter.ValueChanged += new EventHandler(EvaluatorParameter_ValueChanged);
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| 232 | }
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| 233 |
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| 234 | private void RegisterParameterEvents() {
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| 235 | MaxFunctionArgumentsParameter.Value.ValueChanged += new EventHandler(ArchitectureParameterValue_ValueChanged);
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| 236 | MaxFunctionDefiningBranchesParameter.Value.ValueChanged += new EventHandler(ArchitectureParameterValue_ValueChanged);
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| 237 | SolutionCreator.SymbolicExpressionTreeParameter.ActualNameChanged += new EventHandler(SolutionCreator_SymbolicExpressionTreeParameter_ActualNameChanged);
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| 238 | Evaluator.QualityParameter.ActualNameChanged += new EventHandler(Evaluator_QualityParameter_ActualNameChanged);
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| 239 | }
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| 240 |
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| 241 | #region event handling
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| 242 | protected override void OnDataAnalysisProblemChanged(EventArgs e) {
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| 243 | base.OnDataAnalysisProblemChanged(e);
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| 244 | BestKnownQualityParameter.Value = null;
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| 245 | // paritions could be changed
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| 246 | ParameterizeEvaluator();
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| 247 | ParameterizeAnalyzers();
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| 248 | // input variables could have been changed
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| 249 | UpdateGrammar();
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| 250 | // estimation limits have to be recalculated
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| 251 | UpdateEstimationLimits();
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| 252 | }
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| 253 | protected virtual void OnArchitectureParameterChanged(EventArgs e) {
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| 254 | UpdateGrammar();
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| 255 | }
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| 256 | protected virtual void OnGrammarChanged(EventArgs e) { }
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| 257 | protected virtual void OnOperatorsChanged(EventArgs e) { RaiseOperatorsChanged(e); }
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| 258 | protected virtual void OnSolutionCreatorChanged(EventArgs e) {
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| 259 | SolutionCreator.SymbolicExpressionTreeParameter.ActualNameChanged += new EventHandler(SolutionCreator_SymbolicExpressionTreeParameter_ActualNameChanged);
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| 260 | ParameterizeSolutionCreator();
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| 261 | OnSolutionParameterNameChanged(e);
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| 262 | RaiseSolutionCreatorChanged(e);
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| 263 | }
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| 264 |
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| 265 | protected virtual void OnSolutionParameterNameChanged(EventArgs e) {
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| 266 | ParameterizeEvaluator();
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| 267 | ParameterizeAnalyzers();
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| 268 | ParameterizeOperators();
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| 269 | }
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| 270 |
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| 271 | protected virtual void OnEvaluatorChanged(EventArgs e) {
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| 272 | Evaluator.QualityParameter.ActualNameChanged += new EventHandler(Evaluator_QualityParameter_ActualNameChanged);
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| 273 | ParameterizeEvaluator();
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| 274 | ParameterizeAnalyzers();
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| 275 | RaiseEvaluatorChanged(e);
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| 276 | }
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| 277 | protected virtual void OnQualityParameterNameChanged(EventArgs e) {
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| 278 | ParameterizeAnalyzers();
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| 279 | }
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| 280 | #endregion
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| 281 |
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| 282 | #region event handlers
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| 283 | private void SolutionCreatorParameter_ValueChanged(object sender, EventArgs e) {
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| 284 | OnSolutionCreatorChanged(e);
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| 285 | }
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| 286 | private void SolutionCreator_SymbolicExpressionTreeParameter_ActualNameChanged(object sender, EventArgs e) {
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| 287 | OnSolutionParameterNameChanged(e);
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| 288 | }
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| 289 | private void EvaluatorParameter_ValueChanged(object sender, EventArgs e) {
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| 290 | OnEvaluatorChanged(e);
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| 291 | }
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| 292 | private void ArchitectureParameter_ValueChanged(object sender, EventArgs e) {
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| 293 | MaxFunctionArgumentsParameter.Value.ValueChanged += new EventHandler(ArchitectureParameterValue_ValueChanged);
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| 294 | MaxFunctionDefiningBranchesParameter.Value.ValueChanged += new EventHandler(ArchitectureParameterValue_ValueChanged);
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| 295 | OnArchitectureParameterChanged(e);
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| 296 | }
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| 297 | private void ArchitectureParameterValue_ValueChanged(object sender, EventArgs e) {
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| 298 | OnArchitectureParameterChanged(e);
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| 299 | }
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| 300 | private void Evaluator_QualityParameter_ActualNameChanged(object sender, EventArgs e) {
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| 301 | OnQualityParameterNameChanged(e);
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| 302 | }
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| 303 | #endregion
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| 304 |
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| 305 | #region Helpers
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| 306 | [StorableHook(HookType.AfterDeserialization)]
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| 307 | private void AfterDeserializationHook() {
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| 308 | // BackwardsCompatibility3.3
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| 309 | #region Backwards compatible code (remove with 3.4)
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| 310 | if (operators == null) InitializeOperators();
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| 311 | #endregion
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| 312 | RegisterParameterEvents();
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| 313 | RegisterParameterValueEvents();
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| 314 | }
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| 315 |
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| 316 | private void UpdateGrammar() {
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| 317 | foreach (var varSymbol in FunctionTreeGrammar.Symbols.OfType<HeuristicLab.Problems.DataAnalysis.Symbolic.Symbols.Variable>()) {
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| 318 | varSymbol.VariableNames = DataAnalysisProblemData.InputVariables.CheckedItems.Select(x => x.Value.Value);
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| 319 | }
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| 320 | var globalGrammar = FunctionTreeGrammar as GlobalSymbolicExpressionGrammar;
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| 321 | if (globalGrammar != null) {
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| 322 | globalGrammar.MaxFunctionArguments = MaxFunctionArguments.Value;
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| 323 | globalGrammar.MaxFunctionDefinitions = MaxFunctionDefiningBranches.Value;
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| 324 | }
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| 325 | }
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| 326 |
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| 327 | private void UpdateEstimationLimits() {
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| 328 | if (TrainingSamplesStart.Value < TrainingSamplesEnd.Value &&
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| 329 | DataAnalysisProblemData.Dataset.VariableNames.Contains(DataAnalysisProblemData.TargetVariable.Value)) {
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| 330 | var targetValues = DataAnalysisProblemData.Dataset.GetVariableValues(DataAnalysisProblemData.TargetVariable.Value, TrainingSamplesStart.Value, TrainingSamplesEnd.Value);
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| 331 | var mean = targetValues.Average();
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| 332 | var range = targetValues.Max() - targetValues.Min();
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| 333 | UpperEstimationLimit = new DoubleValue(mean + PunishmentFactor.Value * range);
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| 334 | LowerEstimationLimit = new DoubleValue(mean - PunishmentFactor.Value * range);
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| 335 | }
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| 336 | }
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| 337 |
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| 338 | private void InitializeOperators() {
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| 339 | operators = new List<IOperator>();
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| 340 | operators.AddRange(ApplicationManager.Manager.GetInstances<ISymbolicExpressionTreeOperator>().OfType<IOperator>());
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| 341 | operators.Add(new SymbolicRegressionTournamentPruning());
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| 342 | operators.Add(new SymbolicRegressionVariableFrequencyAnalyzer());
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| 343 | operators.Add(new FixedValidationBestScaledSymbolicRegressionSolutionAnalyzer());
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| 344 | operators.Add(new MinAverageMaxSymbolicExpressionTreeSizeAnalyzer());
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| 345 | operators.Add(new SymbolicRegressionModelQualityAnalyzer());
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| 346 | ParameterizeOperators();
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| 347 | ParameterizeAnalyzers();
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| 348 | }
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| 349 |
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| 350 | private void ParameterizeSolutionCreator() {
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| 351 | SolutionCreator.SymbolicExpressionGrammarParameter.ActualName = FunctionTreeGrammarParameter.Name;
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| 352 | SolutionCreator.MaxTreeHeightParameter.ActualName = MaxExpressionDepthParameter.Name;
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| 353 | SolutionCreator.MaxTreeSizeParameter.ActualName = MaxExpressionLengthParameter.Name;
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| 354 | SolutionCreator.MaxFunctionArgumentsParameter.ActualName = MaxFunctionArgumentsParameter.Name;
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| 355 | SolutionCreator.MaxFunctionDefinitionsParameter.ActualName = MaxFunctionDefiningBranchesParameter.Name;
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| 356 | }
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| 357 |
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| 358 | private void ParameterizeEvaluator() {
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| 359 | Evaluator.SymbolicExpressionTreeParameter.ActualName = SolutionCreator.SymbolicExpressionTreeParameter.ActualName;
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| 360 | Evaluator.RegressionProblemDataParameter.ActualName = DataAnalysisProblemDataParameter.Name;
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| 361 | Evaluator.SamplesStartParameter.Value = TrainingSamplesStart;
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| 362 | Evaluator.SamplesEndParameter.Value = TrainingSamplesEnd;
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| 363 | }
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| 364 |
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| 365 | private void ParameterizeAnalyzers() {
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| 366 | foreach (var analyzer in Analyzers) {
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| 367 | analyzer.SymbolicExpressionTreeParameter.ActualName = SolutionCreator.SymbolicExpressionTreeParameter.ActualName;
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| 368 | var fixedBestValidationSolutionAnalyzer = analyzer as FixedValidationBestScaledSymbolicRegressionSolutionAnalyzer;
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| 369 | if (fixedBestValidationSolutionAnalyzer != null) {
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| 370 | fixedBestValidationSolutionAnalyzer.ProblemDataParameter.ActualName = DataAnalysisProblemDataParameter.Name;
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| 371 | fixedBestValidationSolutionAnalyzer.UpperEstimationLimitParameter.ActualName = UpperEstimationLimitParameter.Name;
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| 372 | fixedBestValidationSolutionAnalyzer.LowerEstimationLimitParameter.ActualName = LowerEstimationLimitParameter.Name;
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| 373 | fixedBestValidationSolutionAnalyzer.SymbolicExpressionTreeInterpreterParameter.ActualName = SymbolicExpressionTreeInterpreterParameter.Name;
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| 374 | fixedBestValidationSolutionAnalyzer.SymbolicExpressionTreeParameter.ActualName = SolutionCreator.SymbolicExpressionTreeParameter.ActualName;
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| 375 | fixedBestValidationSolutionAnalyzer.ValidationSamplesStartParameter.Value = ValidationSamplesStart;
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| 376 | fixedBestValidationSolutionAnalyzer.ValidationSamplesEndParameter.Value = ValidationSamplesEnd;
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| 377 | fixedBestValidationSolutionAnalyzer.BestKnownQualityParameter.ActualName = BestKnownQualityParameter.Name;
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| 378 | fixedBestValidationSolutionAnalyzer.QualityParameter.ActualName = Evaluator.QualityParameter.ActualName;
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| 379 | }
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| 380 | var bestValidationSolutionAnalyzer = analyzer as FixedValidationBestScaledSymbolicRegressionSolutionAnalyzer;
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| 381 | if (bestValidationSolutionAnalyzer != null) {
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| 382 | bestValidationSolutionAnalyzer.ProblemDataParameter.ActualName = DataAnalysisProblemDataParameter.Name;
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| 383 | bestValidationSolutionAnalyzer.UpperEstimationLimitParameter.ActualName = UpperEstimationLimitParameter.Name;
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| 384 | bestValidationSolutionAnalyzer.LowerEstimationLimitParameter.ActualName = LowerEstimationLimitParameter.Name;
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| 385 | bestValidationSolutionAnalyzer.SymbolicExpressionTreeInterpreterParameter.ActualName = SymbolicExpressionTreeInterpreterParameter.Name;
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| 386 | bestValidationSolutionAnalyzer.SymbolicExpressionTreeParameter.ActualName = SolutionCreator.SymbolicExpressionTreeParameter.ActualName;
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| 387 | bestValidationSolutionAnalyzer.ValidationSamplesStartParameter.Value = ValidationSamplesStart;
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| 388 | bestValidationSolutionAnalyzer.ValidationSamplesEndParameter.Value = ValidationSamplesEnd;
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| 389 | bestValidationSolutionAnalyzer.BestKnownQualityParameter.ActualName = BestKnownQualityParameter.Name;
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| 390 | bestValidationSolutionAnalyzer.QualityParameter.ActualName = Evaluator.QualityParameter.ActualName;
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| 391 | }
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| 392 | var symbolicRegressionModelQualityAnalyzer = analyzer as SymbolicRegressionModelQualityAnalyzer;
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| 393 | if (symbolicRegressionModelQualityAnalyzer != null) {
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| 394 | symbolicRegressionModelQualityAnalyzer.ProblemDataParameter.ActualName = DataAnalysisProblemDataParameter.Name;
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| 395 | symbolicRegressionModelQualityAnalyzer.UpperEstimationLimitParameter.ActualName = UpperEstimationLimitParameter.Name;
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| 396 | symbolicRegressionModelQualityAnalyzer.LowerEstimationLimitParameter.ActualName = LowerEstimationLimitParameter.Name;
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| 397 | symbolicRegressionModelQualityAnalyzer.SymbolicExpressionTreeInterpreterParameter.ActualName = SymbolicExpressionTreeInterpreterParameter.Name;
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| 398 | symbolicRegressionModelQualityAnalyzer.SymbolicExpressionTreeParameter.ActualName = SolutionCreator.SymbolicExpressionTreeParameter.ActualName;
|
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| 399 | }
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| 400 | var varFreqAnalyzer = analyzer as SymbolicRegressionVariableFrequencyAnalyzer;
|
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| 401 | if (varFreqAnalyzer != null) {
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| 402 | varFreqAnalyzer.ProblemDataParameter.ActualName = DataAnalysisProblemDataParameter.Name;
|
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| 403 | }
|
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| 404 | var pruningOperator = analyzer as SymbolicRegressionTournamentPruning;
|
|---|
| 405 | if (pruningOperator != null) {
|
|---|
| 406 | pruningOperator.SamplesStartParameter.Value = TrainingSamplesStart;
|
|---|
| 407 | pruningOperator.SamplesEndParameter.Value = TrainingSamplesEnd;
|
|---|
| 408 | pruningOperator.DataAnalysisProblemDataParameter.ActualName = DataAnalysisProblemDataParameter.Name;
|
|---|
| 409 | pruningOperator.SymbolicExpressionTreeParameter.ActualName = SolutionCreator.SymbolicExpressionTreeParameter.ActualName;
|
|---|
| 410 | pruningOperator.SymbolicExpressionTreeInterpreterParameter.ActualName = SymbolicExpressionTreeInterpreterParameter.Name;
|
|---|
| 411 | pruningOperator.LowerEstimationLimitParameter.ActualName = LowerEstimationLimitParameter.Name;
|
|---|
| 412 | pruningOperator.UpperEstimationLimitParameter.ActualName = UpperEstimationLimitParameter.Name;
|
|---|
| 413 | }
|
|---|
| 414 | }
|
|---|
| 415 | foreach (ISymbolicExpressionTreeAnalyzer analyzer in Operators.OfType<ISymbolicExpressionTreeAnalyzer>()) {
|
|---|
| 416 | analyzer.SymbolicExpressionTreeParameter.ActualName = SolutionCreator.SymbolicExpressionTreeParameter.ActualName;
|
|---|
| 417 | }
|
|---|
| 418 | }
|
|---|
| 419 |
|
|---|
| 420 | private void ParameterizeOperators() {
|
|---|
| 421 | foreach (ISymbolicExpressionTreeOperator op in Operators.OfType<ISymbolicExpressionTreeOperator>()) {
|
|---|
| 422 | op.MaxTreeHeightParameter.ActualName = MaxExpressionDepthParameter.Name;
|
|---|
| 423 | op.MaxTreeSizeParameter.ActualName = MaxExpressionLengthParameter.Name;
|
|---|
| 424 | op.SymbolicExpressionGrammarParameter.ActualName = FunctionTreeGrammarParameter.Name;
|
|---|
| 425 | }
|
|---|
| 426 | foreach (ISymbolicExpressionTreeCrossover op in Operators.OfType<ISymbolicExpressionTreeCrossover>()) {
|
|---|
| 427 | op.ParentsParameter.ActualName = SolutionCreator.SymbolicExpressionTreeParameter.ActualName;
|
|---|
| 428 | op.ChildParameter.ActualName = SolutionCreator.SymbolicExpressionTreeParameter.ActualName;
|
|---|
| 429 | }
|
|---|
| 430 | foreach (ISymbolicExpressionTreeManipulator op in Operators.OfType<ISymbolicExpressionTreeManipulator>()) {
|
|---|
| 431 | op.SymbolicExpressionTreeParameter.ActualName = SolutionCreator.SymbolicExpressionTreeParameter.ActualName;
|
|---|
| 432 | }
|
|---|
| 433 | foreach (ISymbolicExpressionTreeArchitectureManipulator op in Operators.OfType<ISymbolicExpressionTreeArchitectureManipulator>()) {
|
|---|
| 434 | op.MaxFunctionArgumentsParameter.ActualName = MaxFunctionArgumentsParameter.Name;
|
|---|
| 435 | op.MaxFunctionDefinitionsParameter.ActualName = MaxFunctionDefiningBranchesParameter.Name;
|
|---|
| 436 | }
|
|---|
| 437 | }
|
|---|
| 438 | #endregion
|
|---|
| 439 | }
|
|---|
| 440 | }
|
|---|
