| 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.Encodings.SymbolicExpressionTreeEncoding.Symbols;
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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 | using HeuristicLab.Problems.DataAnalysis.Symbolic.Symbols;
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| 39 | using HeuristicLab.Problems.DataAnalysis.Classification.Symbolic.Analyzers;
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| 40 |
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| 41 | namespace HeuristicLab.Problems.DataAnalysis.Classification {
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| 42 | [Item("Classification Problem", "Represents a classfication problem.")]
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| 43 | [StorableClass]
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| 44 | [Creatable("Problems")]
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| 45 | public sealed class SymbolicClassificationProblem : SingleObjectiveClassificationProblem<ISymbolicClassificationEvaluator, ISymbolicExpressionTreeCreator>, IStorableContent {
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| 46 | private const string SymbolicExpressionTreeInterpreterParameterName = "SymbolicExpressionTreeInterpreter";
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| 47 | private const string FunctionTreeGrammarParameterName = "FunctionTreeGrammar";
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| 48 | private const string MaxExpressionLengthParameterName = "MaxExpressionLength";
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| 49 | private const string MaxExpressionDepthParameterName = "MaxExpressionDepth";
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| 50 | private const string UpperEstimationLimitParameterName = "UpperEstimationLimit";
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| 51 | private const string LowerEstimationLimitParameterName = "LowerEstimationLimit";
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| 52 | private const string MaxFunctionDefiningBranchensParameterName = "MaxFunctionDefiningBranches";
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| 53 | private const string MaxFunctionArgumentsParameterName = "MaxFunctionArguments";
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| 54 |
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| 55 | #region properties
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| 56 | public string Filename { get; set; }
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| 57 |
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| 58 | public ISymbolicExpressionTreeInterpreter SymbolicExpressionTreeInterpreter {
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| 59 | get { return SymbolicExpressionTreeInterpreterParameter.Value; }
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| 60 | private set { SymbolicExpressionTreeInterpreterParameter.Value = value; }
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| 61 | }
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| 62 | public IValueParameter<ISymbolicExpressionTreeInterpreter> SymbolicExpressionTreeInterpreterParameter {
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| 63 | get { return (IValueParameter<ISymbolicExpressionTreeInterpreter>)Parameters[SymbolicExpressionTreeInterpreterParameterName]; }
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| 64 | }
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| 65 |
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| 66 | public ISymbolicExpressionGrammar FunctionTreeGrammar {
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| 67 | get { return (ISymbolicExpressionGrammar)FunctionTreeGrammarParameter.Value; }
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| 68 | private set { FunctionTreeGrammarParameter.Value = value; }
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| 69 | }
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| 70 | public IValueParameter<ISymbolicExpressionGrammar> FunctionTreeGrammarParameter {
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| 71 | get { return (IValueParameter<ISymbolicExpressionGrammar>)Parameters[FunctionTreeGrammarParameterName]; }
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| 72 | }
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| 73 |
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| 74 | public IntValue MaxExpressionLength {
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| 75 | get { return MaxExpressionLengthParameter.Value; }
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| 76 | private set { MaxExpressionLengthParameter.Value = value; }
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| 77 | }
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| 78 | public IValueParameter<IntValue> MaxExpressionLengthParameter {
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| 79 | get { return (IValueParameter<IntValue>)Parameters[MaxExpressionLengthParameterName]; }
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| 80 | }
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| 81 |
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| 82 | public IntValue MaxExpressionDepth {
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| 83 | get { return MaxExpressionDepthParameter.Value; }
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| 84 | private set { MaxExpressionDepthParameter.Value = value; }
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| 85 | }
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| 86 | public ValueParameter<IntValue> MaxExpressionDepthParameter {
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| 87 | get { return (ValueParameter<IntValue>)Parameters[MaxExpressionDepthParameterName]; }
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| 88 | }
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| 89 |
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| 90 | public DoubleValue UpperEstimationLimit {
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| 91 | get { return UpperEstimationLimitParameter.Value; }
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| 92 | private set { UpperEstimationLimitParameter.Value = value; }
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| 93 | }
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| 94 | public IValueParameter<DoubleValue> UpperEstimationLimitParameter {
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| 95 | get { return (IValueParameter<DoubleValue>)Parameters[UpperEstimationLimitParameterName]; }
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| 96 | }
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| 97 |
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| 98 | public DoubleValue LowerEstimationLimit {
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| 99 | get { return LowerEstimationLimitParameter.Value; }
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| 100 | private set { LowerEstimationLimitParameter.Value = value; }
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| 101 | }
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| 102 | public IValueParameter<DoubleValue> LowerEstimationLimitParameter {
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| 103 | get { return (IValueParameter<DoubleValue>)Parameters[LowerEstimationLimitParameterName]; }
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| 104 | }
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| 105 |
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| 106 | public IntValue MaxFunctionDefiningBranches {
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| 107 | get { return MaxFunctionDefiningBranchesParameter.Value; }
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| 108 | private set { MaxFunctionDefiningBranchesParameter.Value = value; }
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| 109 | }
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| 110 | public IValueParameter<IntValue> MaxFunctionDefiningBranchesParameter {
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| 111 | get { return (IValueParameter<IntValue>)Parameters[MaxFunctionDefiningBranchensParameterName]; }
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| 112 | }
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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 | private set { MaxFunctionArgumentsParameter.Value = value; }
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| 117 | }
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| 118 | public IValueParameter<IntValue> MaxFunctionArgumentsParameter {
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| 119 | get { return (IValueParameter<IntValue>)Parameters[MaxFunctionArgumentsParameterName]; }
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| 120 | }
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| 121 |
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| 122 | public DoubleValue PunishmentFactor {
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| 123 | get { return new DoubleValue(10.0); }
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| 124 | }
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| 125 | public IntValue TrainingSamplesStart { get { return new IntValue(ClassificationProblemData.TrainingSamplesStart.Value); } }
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| 126 | public IntValue TrainingSamplesEnd {
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| 127 | get { return new IntValue((ClassificationProblemData.TrainingSamplesStart.Value + ClassificationProblemData.TrainingSamplesEnd.Value) / 2); }
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| 128 | }
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| 129 | public IntValue ValidationSamplesStart { get { return TrainingSamplesEnd; } }
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| 130 | public IntValue ValidationSamplesEnd { get { return new IntValue(ClassificationProblemData.TrainingSamplesEnd.Value); } }
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| 131 | public IntValue TestSamplesStart { get { return ClassificationProblemData.TestSamplesStart; } }
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| 132 | public IntValue TestSamplesEnd { get { return ClassificationProblemData.TestSamplesEnd; } }
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| 133 | #endregion
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| 134 |
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| 135 | [StorableConstructor]
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| 136 | private SymbolicClassificationProblem(bool deserializing) : base(deserializing) { }
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| 137 | private SymbolicClassificationProblem(SymbolicClassificationProblem original, Cloner cloner)
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| 138 | : base(original, cloner) {
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| 139 | RegisterParameterEvents();
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| 140 | }
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| 141 |
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| 142 | public SymbolicClassificationProblem()
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| 143 | : base() {
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| 144 | Parameters.Add(new ValueParameter<ISymbolicExpressionTreeInterpreter>(SymbolicExpressionTreeInterpreterParameterName, "The interpreter that should be used to evaluate the symbolic expression tree."));
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| 145 | Parameters.Add(new ValueParameter<ISymbolicExpressionGrammar>(FunctionTreeGrammarParameterName, "The grammar that should be used for symbolic regression models."));
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| 146 | Parameters.Add(new ValueParameter<IntValue>(MaxExpressionLengthParameterName, "Maximal length of the symbolic expression."));
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| 147 | Parameters.Add(new ValueParameter<IntValue>(MaxExpressionDepthParameterName, "Maximal depth of the symbolic expression."));
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| 148 | Parameters.Add(new ValueParameter<DoubleValue>(UpperEstimationLimitParameterName, "The upper limit for the estimated value that can be returned by the symbolic regression model."));
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| 149 | Parameters.Add(new ValueParameter<DoubleValue>(LowerEstimationLimitParameterName, "The lower limit for the estimated value that can be returned by the symbolic regression model."));
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| 150 | Parameters.Add(new ValueParameter<IntValue>(MaxFunctionDefiningBranchensParameterName, "Maximal number of automatically defined functions."));
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| 151 | Parameters.Add(new ValueParameter<IntValue>(MaxFunctionArgumentsParameterName, "Maximal number of arguments of automatically defined functions."));
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| 152 |
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| 153 | SolutionCreator = new ProbabilisticTreeCreator();
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| 154 | Evaluator = new SymbolicClassifacitionMeanSquaredErrorEvaluator();
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| 155 | ParameterizeSolutionCreator();
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| 156 | Maximization = new BoolValue(false);
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| 157 | FunctionTreeGrammar = new GlobalSymbolicExpressionGrammar(new FullFunctionalExpressionGrammar());
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| 158 | SymbolicExpressionTreeInterpreter = new SimpleArithmeticExpressionInterpreter();
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| 159 | MaxExpressionLength = new IntValue(100);
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| 160 | MaxExpressionDepth = new IntValue(10);
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| 161 | MaxFunctionDefiningBranches = new IntValue(0);
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| 162 | MaxFunctionArguments = new IntValue(0);
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| 163 |
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| 164 | InitializeOperators();
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| 165 | RegisterParameterEvents();
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| 166 |
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| 167 | UpdateEstimationLimits();
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| 168 | ParameterizeEvaluator();
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| 169 | ParameterizeSolutionCreator();
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| 170 | ParameterizeGrammar();
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| 171 | ParameterizeOperators();
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| 172 | ParameterizeAnalyzers();
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| 173 | }
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| 174 |
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| 175 | public override IDeepCloneable Clone(Cloner cloner) {
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| 176 | return new SymbolicClassificationProblem(this, cloner);
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| 177 | }
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| 178 |
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| 179 | private void RegisterParameterEvents() {
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| 180 | SolutionCreator.SymbolicExpressionTreeParameter.ActualNameChanged += new EventHandler(SolutionCreator_SymbolicExpressionTreeParameter_ActualNameChanged);
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| 181 | FunctionTreeGrammarParameter.ValueChanged += new EventHandler(FunctionTreeGrammarParameter_ValueChanged);
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| 182 |
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| 183 | MaxFunctionArgumentsParameter.ValueChanged += new EventHandler(ArchitectureParameter_ValueChanged);
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| 184 | MaxFunctionDefiningBranchesParameter.ValueChanged += new EventHandler(ArchitectureParameter_ValueChanged);
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| 185 | MaxFunctionArgumentsParameter.Value.ValueChanged += new EventHandler(ArchitectureParameterValue_ValueChanged);
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| 186 | MaxFunctionDefiningBranchesParameter.Value.ValueChanged += new EventHandler(ArchitectureParameterValue_ValueChanged);
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| 187 | }
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| 188 |
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| 189 | protected override void OnEvaluatorChanged() {
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| 190 | ParameterizeEvaluator();
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| 191 | ParameterizeAnalyzers();
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| 192 | base.OnEvaluatorChanged();
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| 193 | }
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| 194 |
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| 195 | protected override void OnSolutionCreatorChanged() {
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| 196 | ParameterizeSolutionCreator();
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| 197 | SolutionCreator.SymbolicExpressionTreeParameter.ActualNameChanged += new EventHandler(SolutionCreator_SymbolicExpressionTreeParameter_ActualNameChanged);
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| 198 | base.OnSolutionCreatorChanged();
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| 199 | }
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| 200 | private void SolutionCreator_SymbolicExpressionTreeParameter_ActualNameChanged(object sender, System.EventArgs e) {
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| 201 | ParameterizeEvaluator();
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| 202 | ParameterizeOperators();
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| 203 | ParameterizeAnalyzers();
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| 204 | }
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| 205 |
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| 206 | protected override void OnClassificationProblemDataChanged() {
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| 207 | ParameterizeAnalyzers();
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| 208 | ParameterizeGrammar();
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| 209 | ParameterizeEvaluator();
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| 210 | UpdateEstimationLimits();
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| 211 | base.OnClassificationProblemDataChanged();
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| 212 | }
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| 213 |
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| 214 | private void FunctionTreeGrammarParameter_ValueChanged(object sender, System.EventArgs e) {
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| 215 | if (!(FunctionTreeGrammar is GlobalSymbolicExpressionGrammar))
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| 216 | FunctionTreeGrammar = new GlobalSymbolicExpressionGrammar(FunctionTreeGrammar);
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| 217 | OnGrammarChanged();
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| 218 | }
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| 219 | private void OnGrammarChanged() {
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| 220 | ParameterizeGrammar();
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| 221 | }
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| 222 |
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| 223 | private void ArchitectureParameter_ValueChanged(object sender, EventArgs e) {
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| 224 | MaxFunctionArgumentsParameter.Value.ValueChanged += new EventHandler(ArchitectureParameterValue_ValueChanged);
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| 225 | MaxFunctionDefiningBranchesParameter.Value.ValueChanged += new EventHandler(ArchitectureParameterValue_ValueChanged);
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| 226 | OnArchitectureParameterChanged();
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| 227 | }
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| 228 | private void ArchitectureParameterValue_ValueChanged(object sender, EventArgs e) {
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| 229 | OnArchitectureParameterChanged();
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| 230 | }
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| 231 | private void OnArchitectureParameterChanged() {
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| 232 | ParameterizeGrammar();
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| 233 | }
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| 234 |
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| 235 | private void InitializeOperators() {
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| 236 | Operators.AddRange(ApplicationManager.Manager.GetInstances<ISymbolicExpressionTreeOperator>().OfType<IOperator>());
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| 237 | Operators.Add(new MinAverageMaxSymbolicExpressionTreeSizeAnalyzer());
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| 238 | Operators.Add(new SymbolicRegressionVariableFrequencyAnalyzer());
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| 239 | Operators.Add(new ValidationBestSymbolicClassificationSolutionAnalyzer());
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| 240 | Operators.Add(new TrainingBestSymbolicClassificationSolutionAnalyzer());
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| 241 | }
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| 242 |
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| 243 | #region operator parameterization
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| 244 | private void UpdateEstimationLimits() {
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| 245 | if (TrainingSamplesStart.Value < TrainingSamplesEnd.Value &&
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| 246 | ClassificationProblemData.Dataset.VariableNames.Contains(ClassificationProblemData.TargetVariable.Value)) {
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| 247 | var targetValues = ClassificationProblemData.Dataset.GetVariableValues(ClassificationProblemData.TargetVariable.Value, TrainingSamplesStart.Value, TrainingSamplesEnd.Value);
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| 248 | var mean = targetValues.Average();
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| 249 | var range = targetValues.Max() - targetValues.Min();
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| 250 | UpperEstimationLimit = new DoubleValue(mean + PunishmentFactor.Value * range);
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| 251 | LowerEstimationLimit = new DoubleValue(mean - PunishmentFactor.Value * range);
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| 252 | }
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| 253 | }
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| 254 |
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| 255 | private void ParameterizeEvaluator() {
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| 256 | if (Evaluator != null) {
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| 257 | Evaluator.SymbolicExpressionTreeParameter.ActualName = SolutionCreator.SymbolicExpressionTreeParameter.ActualName;
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| 258 | Evaluator.RegressionProblemDataParameter.ActualName = ClassificationProblemDataParameter.Name;
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| 259 | Evaluator.SamplesStartParameter.Value = TrainingSamplesStart;
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| 260 | Evaluator.SamplesEndParameter.Value = TrainingSamplesEnd;
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| 261 | }
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| 262 | }
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| 263 |
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| 264 | private void ParameterizeGrammar() {
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| 265 | List<LaggedVariable> laggedSymbols = FunctionTreeGrammar.Symbols.OfType<LaggedVariable>().ToList();
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| 266 | foreach (Symbol symbol in laggedSymbols)
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| 267 | FunctionTreeGrammar.RemoveSymbol(symbol);
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| 268 | foreach (var varSymbol in FunctionTreeGrammar.Symbols.OfType<HeuristicLab.Problems.DataAnalysis.Symbolic.Symbols.Variable>()) {
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| 269 | varSymbol.VariableNames = ClassificationProblemData.InputVariables.CheckedItems.Select(x => x.Value.Value);
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| 270 | }
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| 271 | var globalGrammar = FunctionTreeGrammar as GlobalSymbolicExpressionGrammar;
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| 272 | if (globalGrammar != null) {
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| 273 | globalGrammar.MaxFunctionArguments = MaxFunctionArguments.Value;
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| 274 | globalGrammar.MaxFunctionDefinitions = MaxFunctionDefiningBranches.Value;
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| 275 | }
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| 276 | }
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| 277 |
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| 278 | private void ParameterizeSolutionCreator() {
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| 279 | SolutionCreator.SymbolicExpressionGrammarParameter.ActualName = FunctionTreeGrammarParameter.Name;
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| 280 | SolutionCreator.MaxTreeHeightParameter.ActualName = MaxExpressionDepthParameter.Name;
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| 281 | SolutionCreator.MaxTreeSizeParameter.ActualName = MaxExpressionLengthParameter.Name;
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| 282 | SolutionCreator.MaxFunctionArgumentsParameter.ActualName = MaxFunctionArgumentsParameter.Name;
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| 283 | SolutionCreator.MaxFunctionDefinitionsParameter.ActualName = MaxFunctionDefiningBranchesParameter.Name;
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| 284 | }
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| 285 |
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| 286 | private void ParameterizeOperators() {
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| 287 | foreach (ISymbolicExpressionTreeOperator op in Operators.OfType<ISymbolicExpressionTreeOperator>()) {
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| 288 | op.MaxTreeHeightParameter.ActualName = MaxExpressionDepthParameter.Name;
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| 289 | op.MaxTreeSizeParameter.ActualName = MaxExpressionLengthParameter.Name;
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| 290 | op.SymbolicExpressionGrammarParameter.ActualName = FunctionTreeGrammarParameter.Name;
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| 291 | }
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| 292 | foreach (ISymbolicExpressionTreeCrossover op in Operators.OfType<ISymbolicExpressionTreeCrossover>()) {
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| 293 | op.ParentsParameter.ActualName = SolutionCreator.SymbolicExpressionTreeParameter.ActualName;
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| 294 | op.ChildParameter.ActualName = SolutionCreator.SymbolicExpressionTreeParameter.ActualName;
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| 295 | }
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| 296 | foreach (ISymbolicExpressionTreeManipulator op in Operators.OfType<ISymbolicExpressionTreeManipulator>()) {
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| 297 | op.SymbolicExpressionTreeParameter.ActualName = SolutionCreator.SymbolicExpressionTreeParameter.ActualName;
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| 298 | }
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| 299 | foreach (ISymbolicExpressionTreeArchitectureManipulator op in Operators.OfType<ISymbolicExpressionTreeArchitectureManipulator>()) {
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| 300 | op.MaxFunctionArgumentsParameter.ActualName = MaxFunctionArgumentsParameter.Name;
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| 301 | op.MaxFunctionDefinitionsParameter.ActualName = MaxFunctionDefiningBranchesParameter.Name;
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| 302 | }
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| 303 | }
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| 304 |
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| 305 | private void ParameterizeAnalyzers() {
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| 306 | foreach (ISymbolicRegressionAnalyzer analyzer in Operators.OfType<ISymbolicRegressionAnalyzer>()) {
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| 307 | analyzer.SymbolicExpressionTreeParameter.ActualName = SolutionCreator.SymbolicExpressionTreeParameter.ActualName;
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| 308 | var bestValidationSolutionAnalyzer = analyzer as ValidationBestSymbolicClassificationSolutionAnalyzer;
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| 309 | if (bestValidationSolutionAnalyzer != null) {
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| 310 | bestValidationSolutionAnalyzer.ClassificationProblemDataParameter.ActualName = ClassificationProblemDataParameter.Name;
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| 311 | bestValidationSolutionAnalyzer.UpperEstimationLimitParameter.ActualName = UpperEstimationLimitParameter.Name;
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| 312 | bestValidationSolutionAnalyzer.LowerEstimationLimitParameter.ActualName = LowerEstimationLimitParameter.Name;
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| 313 | bestValidationSolutionAnalyzer.SymbolicExpressionTreeInterpreterParameter.ActualName = SymbolicExpressionTreeInterpreterParameter.Name;
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| 314 | bestValidationSolutionAnalyzer.SymbolicExpressionTreeParameter.ActualName = SolutionCreator.SymbolicExpressionTreeParameter.ActualName;
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| 315 | bestValidationSolutionAnalyzer.ValidationSamplesStartParameter.Value = ValidationSamplesStart;
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| 316 | bestValidationSolutionAnalyzer.ValidationSamplesEndParameter.Value = ValidationSamplesEnd;
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| 317 | }
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| 318 | var bestTrainingSolutionAnalyzer = analyzer as TrainingBestSymbolicClassificationSolutionAnalyzer;
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| 319 | if (bestTrainingSolutionAnalyzer != null) {
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| 320 | bestTrainingSolutionAnalyzer.ProblemDataParameter.ActualName = ClassificationProblemDataParameter.Name;
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| 321 | bestTrainingSolutionAnalyzer.UpperEstimationLimitParameter.ActualName = UpperEstimationLimitParameter.Name;
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| 322 | bestTrainingSolutionAnalyzer.LowerEstimationLimitParameter.ActualName = LowerEstimationLimitParameter.Name;
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| 323 | bestTrainingSolutionAnalyzer.SymbolicExpressionTreeInterpreterParameter.ActualName = SymbolicExpressionTreeInterpreterParameter.Name;
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| 324 | bestTrainingSolutionAnalyzer.SymbolicExpressionTreeParameter.ActualName = SolutionCreator.SymbolicExpressionTreeParameter.ActualName;
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| 325 | }
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| 326 | var varFreqAnalyzer = analyzer as SymbolicRegressionVariableFrequencyAnalyzer;
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| 327 | if (varFreqAnalyzer != null) {
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| 328 | varFreqAnalyzer.ProblemDataParameter.ActualName = ClassificationProblemDataParameter.Name;
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| 329 | }
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| 330 | }
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| 331 | }
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| 332 | #endregion
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| 333 | }
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| 334 | }
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