[10072] | 1 | #region License Information
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| 2 | /* HeuristicLab
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[16565] | 3 | * Copyright (C) 2002-2019 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
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[10072] | 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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[10968] | 19 | *
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| 20 | * Author: Sabine Winkler
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[10072] | 21 | */
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[10968] | 22 |
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[10072] | 23 | #endregion
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| 24 |
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| 25 | using System;
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| 26 | using System.Drawing;
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| 27 | using System.Linq;
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| 28 | using HeuristicLab.Common;
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| 29 | using HeuristicLab.Common.Resources;
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| 30 | using HeuristicLab.Core;
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| 31 | using HeuristicLab.Data;
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[10073] | 32 | using HeuristicLab.Encodings.IntegerVectorEncoding;
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[10072] | 33 | using HeuristicLab.Encodings.SymbolicExpressionTreeEncoding;
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| 34 | using HeuristicLab.Optimization;
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| 35 | using HeuristicLab.Parameters;
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[16565] | 36 | using HEAL.Attic;
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[10072] | 37 | using HeuristicLab.PluginInfrastructure;
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[10073] | 38 | using HeuristicLab.Problems.DataAnalysis;
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| 39 | using HeuristicLab.Problems.DataAnalysis.Symbolic;
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| 40 | using HeuristicLab.Problems.GrammaticalEvolution.Mappers;
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[10072] | 41 | using HeuristicLab.Problems.Instances;
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| 42 |
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[10073] | 43 | namespace HeuristicLab.Problems.GrammaticalEvolution {
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[16565] | 44 | [StorableType("E31AC1E8-590D-4D65-883F-3113544B6C91")]
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[10075] | 45 | public abstract class GESymbolicDataAnalysisProblem<T, U, V> : HeuristicOptimizationProblem<U, V>, IDataAnalysisProblem<T>,
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[10226] | 46 | IGESymbolicDataAnalysisProblem, IStorableContent,
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[10075] | 47 | IProblemInstanceConsumer<T>, IProblemInstanceExporter<T>
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[10072] | 48 | where T : class, IDataAnalysisProblemData
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[10073] | 49 | where U : class, IGESymbolicDataAnalysisEvaluator<T>
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| 50 | where V : class, IIntegerVectorCreator {
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[10072] | 51 |
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| 52 | #region parameter names & descriptions
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| 53 | private const string ProblemDataParameterName = "ProblemData";
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| 54 | private const string SymbolicExpressionTreeGrammarParameterName = "SymbolicExpressionTreeGrammar";
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| 55 | private const string SymbolicExpressionTreeInterpreterParameterName = "SymbolicExpressionTreeInterpreter";
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| 56 | private const string MaximumSymbolicExpressionTreeLengthParameterName = "MaximumSymbolicExpressionTreeLength";
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| 57 | private const string RelativeNumberOfEvaluatedSamplesParameterName = "RelativeNumberOfEvaluatedSamples";
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| 58 | private const string FitnessCalculationPartitionParameterName = "FitnessCalculationPartition";
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| 59 | private const string ValidationPartitionParameterName = "ValidationPartition";
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| 60 | private const string ApplyLinearScalingParameterName = "ApplyLinearScaling";
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[10073] | 61 | private const string BoundsParameterName = "Bounds";
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| 62 | private const string GenotypeToPhenotypeMapperParameterName = "GenotypeToPhenotypeMapper";
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[10072] | 63 | private const string ProblemDataParameterDescription = "";
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| 64 | private const string SymbolicExpressionTreeGrammarParameterDescription = "The grammar that should be used for symbolic expression tree.";
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[10974] | 65 | private const string SymbolicExpressionTreeInterpreterParameterDescription = "The interpreter that should be used to evaluate the symbolic expression tree.";
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[10072] | 66 | private const string MaximumSymbolicExpressionTreeLengthParameterDescription = "Maximal length of the symbolic expression.";
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| 67 | private const string RelativeNumberOfEvaluatedSamplesParameterDescription = "The relative number of samples of the dataset partition, which should be randomly chosen for evaluation.";
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| 68 | private const string FitnessCalculationPartitionParameterDescription = "The partition of the problem data training partition, that should be used to calculate the fitness of an individual.";
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| 69 | private const string ValidationPartitionParameterDescription = "The partition of the problem data training partition, that should be used to select the best model from (optional).";
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| 70 | private const string ApplyLinearScalingParameterDescription = "Flag that indicates if the individual should be linearly scaled before evaluating.";
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[10073] | 71 | private const string BoundsParameterDescription = "The integer number range in which the single genomes of a genotype are created.";
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| 72 | private const string GenotypeToPhenotypeMapperParameterDescription = "Maps the genotype (an integer vector) to the phenotype (a symbolic expression tree).";
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[10072] | 73 | #endregion
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| 74 |
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| 75 | #region parameter properties
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| 76 | IParameter IDataAnalysisProblem.ProblemDataParameter {
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| 77 | get { return ProblemDataParameter; }
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| 78 | }
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| 79 | public IValueParameter<T> ProblemDataParameter {
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| 80 | get { return (IValueParameter<T>)Parameters[ProblemDataParameterName]; }
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| 81 | }
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[10974] | 82 | public IValueParameter<ISymbolicDataAnalysisGrammar> SymbolicExpressionTreeGrammarParameter {
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| 83 | get { return (IValueParameter<ISymbolicDataAnalysisGrammar>)Parameters[SymbolicExpressionTreeGrammarParameterName]; }
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[10072] | 84 | }
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| 85 | public IValueParameter<ISymbolicDataAnalysisExpressionTreeInterpreter> SymbolicExpressionTreeInterpreterParameter {
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| 86 | get { return (IValueParameter<ISymbolicDataAnalysisExpressionTreeInterpreter>)Parameters[SymbolicExpressionTreeInterpreterParameterName]; }
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| 87 | }
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| 88 | public IFixedValueParameter<IntValue> MaximumSymbolicExpressionTreeLengthParameter {
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| 89 | get { return (IFixedValueParameter<IntValue>)Parameters[MaximumSymbolicExpressionTreeLengthParameterName]; }
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| 90 | }
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| 91 | public IFixedValueParameter<PercentValue> RelativeNumberOfEvaluatedSamplesParameter {
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| 92 | get { return (IFixedValueParameter<PercentValue>)Parameters[RelativeNumberOfEvaluatedSamplesParameterName]; }
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| 93 | }
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| 94 | public IFixedValueParameter<IntRange> FitnessCalculationPartitionParameter {
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| 95 | get { return (IFixedValueParameter<IntRange>)Parameters[FitnessCalculationPartitionParameterName]; }
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| 96 | }
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| 97 | public IFixedValueParameter<IntRange> ValidationPartitionParameter {
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| 98 | get { return (IFixedValueParameter<IntRange>)Parameters[ValidationPartitionParameterName]; }
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| 99 | }
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| 100 | public IFixedValueParameter<BoolValue> ApplyLinearScalingParameter {
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| 101 | get { return (IFixedValueParameter<BoolValue>)Parameters[ApplyLinearScalingParameterName]; }
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| 102 | }
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[10073] | 103 | public IValueParameter<IntMatrix> BoundsParameter {
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| 104 | get { return (IValueParameter<IntMatrix>)Parameters[BoundsParameterName]; }
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| 105 | }
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| 106 | public IValueParameter<IGenotypeToPhenotypeMapper> GenotypeToPhenotypeMapperParameter {
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| 107 | get { return (IValueParameter<IGenotypeToPhenotypeMapper>)Parameters[GenotypeToPhenotypeMapperParameterName]; }
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| 108 | }
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[10072] | 109 | #endregion
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| 110 |
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| 111 | #region properties
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| 112 | public string Filename { get; set; }
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| 113 | public static new Image StaticItemImage { get { return VSImageLibrary.Type; } }
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| 114 |
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| 115 | IDataAnalysisProblemData IDataAnalysisProblem.ProblemData {
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| 116 | get { return ProblemData; }
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| 117 | }
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| 118 | public T ProblemData {
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| 119 | get { return ProblemDataParameter.Value; }
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| 120 | set { ProblemDataParameter.Value = value; }
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| 121 | }
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| 122 |
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[10974] | 123 | public ISymbolicDataAnalysisGrammar SymbolicExpressionTreeGrammar {
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[10072] | 124 | get { return SymbolicExpressionTreeGrammarParameter.Value; }
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| 125 | set { SymbolicExpressionTreeGrammarParameter.Value = value; }
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| 126 | }
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| 127 | public ISymbolicDataAnalysisExpressionTreeInterpreter SymbolicExpressionTreeInterpreter {
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| 128 | get { return SymbolicExpressionTreeInterpreterParameter.Value; }
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| 129 | set { SymbolicExpressionTreeInterpreterParameter.Value = value; }
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| 130 | }
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| 131 |
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| 132 | public IntValue MaximumSymbolicExpressionTreeLength {
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| 133 | get { return MaximumSymbolicExpressionTreeLengthParameter.Value; }
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| 134 | }
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[10276] | 135 |
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[10072] | 136 | public PercentValue RelativeNumberOfEvaluatedSamples {
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| 137 | get { return RelativeNumberOfEvaluatedSamplesParameter.Value; }
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| 138 | }
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| 139 |
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| 140 | public IntRange FitnessCalculationPartition {
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| 141 | get { return FitnessCalculationPartitionParameter.Value; }
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| 142 | }
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| 143 | public IntRange ValidationPartition {
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| 144 | get { return ValidationPartitionParameter.Value; }
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| 145 | }
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| 146 | public BoolValue ApplyLinearScaling {
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| 147 | get { return ApplyLinearScalingParameter.Value; }
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| 148 | }
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| 149 | #endregion
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| 150 |
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| 151 | [StorableConstructor]
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[16565] | 152 | protected GESymbolicDataAnalysisProblem(StorableConstructorFlag _) : base(_) { }
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[10072] | 153 | [StorableHook(HookType.AfterDeserialization)]
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| 154 | private void AfterDeserialization() {
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| 155 | RegisterEventHandlers();
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| 156 | }
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[10073] | 157 | protected GESymbolicDataAnalysisProblem(GESymbolicDataAnalysisProblem<T, U, V> original, Cloner cloner)
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[10072] | 158 | : base(original, cloner) {
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| 159 | RegisterEventHandlers();
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| 160 | }
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| 161 |
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[10073] | 162 | protected GESymbolicDataAnalysisProblem(T problemData, U evaluator, V solutionCreator)
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[10072] | 163 | : base(evaluator, solutionCreator) {
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| 164 | Parameters.Add(new ValueParameter<T>(ProblemDataParameterName, ProblemDataParameterDescription, problemData));
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[10974] | 165 | Parameters.Add(new ValueParameter<ISymbolicDataAnalysisGrammar>(SymbolicExpressionTreeGrammarParameterName, SymbolicExpressionTreeGrammarParameterDescription));
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| 166 | Parameters.Add(new ValueParameter<ISymbolicDataAnalysisExpressionTreeInterpreter>(SymbolicExpressionTreeInterpreterParameterName, SymbolicExpressionTreeInterpreterParameterDescription));
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[10072] | 167 | Parameters.Add(new FixedValueParameter<IntValue>(MaximumSymbolicExpressionTreeLengthParameterName, MaximumSymbolicExpressionTreeLengthParameterDescription));
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| 168 | Parameters.Add(new FixedValueParameter<IntRange>(FitnessCalculationPartitionParameterName, FitnessCalculationPartitionParameterDescription));
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| 169 | Parameters.Add(new FixedValueParameter<IntRange>(ValidationPartitionParameterName, ValidationPartitionParameterDescription));
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| 170 | Parameters.Add(new FixedValueParameter<PercentValue>(RelativeNumberOfEvaluatedSamplesParameterName, RelativeNumberOfEvaluatedSamplesParameterDescription, new PercentValue(1)));
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| 171 | Parameters.Add(new FixedValueParameter<BoolValue>(ApplyLinearScalingParameterName, ApplyLinearScalingParameterDescription, new BoolValue(false)));
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[10073] | 172 | IntMatrix m = new IntMatrix(new int[,] { { 0, 100 } });
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| 173 | Parameters.Add(new ValueParameter<IntMatrix>(BoundsParameterName, BoundsParameterDescription, m));
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| 174 | Parameters.Add(new ValueParameter<IGenotypeToPhenotypeMapper>(GenotypeToPhenotypeMapperParameterName, GenotypeToPhenotypeMapperParameterDescription, new DepthFirstMapper()));
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[10072] | 175 |
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| 176 | SymbolicExpressionTreeInterpreterParameter.Hidden = true;
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| 177 | ApplyLinearScalingParameter.Hidden = true;
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| 178 |
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[14826] | 179 | if (problemData.AllowedInputVariables.Any(name => !problemData.Dataset.VariableHasType<double>(name))) throw new NotSupportedException("Categorical variables are not supported");
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[10268] | 180 | SymbolicExpressionTreeGrammar = new GESymbolicExpressionGrammar(problemData.AllowedInputVariables, problemData.AllowedInputVariables.Count() * 3);
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[10072] | 181 | SymbolicExpressionTreeInterpreter = new SymbolicDataAnalysisExpressionTreeLinearInterpreter();
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| 182 |
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| 183 | FitnessCalculationPartition.Start = ProblemData.TrainingPartition.Start;
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| 184 | FitnessCalculationPartition.End = ProblemData.TrainingPartition.End;
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| 185 |
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| 186 | InitializeOperators();
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| 187 |
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| 188 | UpdateGrammar();
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| 189 | RegisterEventHandlers();
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| 190 | }
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| 191 |
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[10268] | 192 | private void DeregisterGrammarHandler() {
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| 193 | SymbolicExpressionTreeGrammarParameter.ValueChanged -= SymbolicExpressionTreeGrammarParameter_ValueChanged;
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| 194 | }
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| 195 | private void RegisterGrammarHandler() {
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| 196 | SymbolicExpressionTreeGrammarParameter.ValueChanged += SymbolicExpressionTreeGrammarParameter_ValueChanged;
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| 197 | }
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| 198 |
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[10974] | 199 | private void UpdateGrammar() {
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[10268] | 200 | DeregisterGrammarHandler();
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| 201 | // create a new grammar instance with the correct allowed input variables
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| 202 | SymbolicExpressionTreeGrammarParameter.Value =
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| 203 | new GESymbolicExpressionGrammar(ProblemData.AllowedInputVariables, ProblemData.AllowedInputVariables.Count() * 3);
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| 204 | RegisterGrammarHandler();
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[10072] | 205 | }
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| 206 |
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| 207 | private void InitializeOperators() {
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[10974] | 208 | Operators.AddRange(ApplicationManager.Manager.GetInstances<IIntegerVectorOperator>());
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[10072] | 209 | Operators.Add(new SymbolicExpressionSymbolFrequencyAnalyzer());
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| 210 | Operators.Add(new SymbolicDataAnalysisVariableFrequencyAnalyzer());
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| 211 | Operators.Add(new MinAverageMaxSymbolicExpressionTreeLengthAnalyzer());
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| 212 | Operators.Add(new SymbolicExpressionTreeLengthAnalyzer());
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| 213 | ParameterizeOperators();
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| 214 | }
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| 215 |
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| 216 | #region events
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| 217 | private void RegisterEventHandlers() {
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| 218 | ProblemDataParameter.ValueChanged += new EventHandler(ProblemDataParameter_ValueChanged);
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| 219 | ProblemDataParameter.Value.Changed += (object sender, EventArgs e) => OnProblemDataChanged();
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| 220 |
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[10268] | 221 | RegisterGrammarHandler();
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[10072] | 222 | }
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| 223 |
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| 224 | private void ProblemDataParameter_ValueChanged(object sender, EventArgs e) {
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| 225 | ValidationPartition.Start = 0;
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| 226 | ValidationPartition.End = 0;
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| 227 | ProblemDataParameter.Value.Changed += (object s, EventArgs args) => OnProblemDataChanged();
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| 228 | OnProblemDataChanged();
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| 229 | }
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| 230 |
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| 231 | private void SymbolicExpressionTreeGrammarParameter_ValueChanged(object sender, EventArgs e) {
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| 232 | UpdateGrammar();
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| 233 | }
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| 234 |
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[10073] | 235 | protected override void OnEvaluatorChanged() {
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| 236 | base.OnEvaluatorChanged();
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| 237 | Evaluator.SymbolicExpressionTreeParameter.ActualNameChanged += new EventHandler(Evaluator_SymbolicExpressionTreeParameter_ActualNameChanged);
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[10072] | 238 | ParameterizeOperators();
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| 239 | }
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| 240 |
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[10073] | 241 | private void Evaluator_SymbolicExpressionTreeParameter_ActualNameChanged(object sender, EventArgs e) {
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[10072] | 242 | ParameterizeOperators();
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| 243 | }
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| 244 |
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| 245 | public event EventHandler ProblemDataChanged;
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| 246 | protected virtual void OnProblemDataChanged() {
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| 247 | FitnessCalculationPartition.Start = ProblemData.TrainingPartition.Start;
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| 248 | FitnessCalculationPartition.End = ProblemData.TrainingPartition.End;
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| 249 |
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| 250 | UpdateGrammar();
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| 251 | ParameterizeOperators();
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| 252 |
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| 253 | var handler = ProblemDataChanged;
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| 254 | if (handler != null) handler(this, EventArgs.Empty);
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| 255 |
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| 256 | OnReset();
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| 257 | }
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| 258 | #endregion
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| 259 |
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| 260 | protected virtual void ParameterizeOperators() {
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| 261 | var operators = Parameters.OfType<IValueParameter>().Select(p => p.Value).OfType<IOperator>().Union(Operators).ToList();
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| 262 |
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| 263 | foreach (var op in operators.OfType<ISymbolicExpressionTreeGrammarBasedOperator>()) {
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| 264 | op.SymbolicExpressionTreeGrammarParameter.ActualName = SymbolicExpressionTreeGrammarParameter.Name;
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| 265 | }
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[10073] | 266 | foreach (var op in operators.OfType<IGESymbolicDataAnalysisEvaluator<T>>()) {
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[10072] | 267 | op.ProblemDataParameter.ActualName = ProblemDataParameterName;
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[10073] | 268 | op.SymbolicExpressionTreeParameter.ActualName = Evaluator.SymbolicExpressionTreeParameter.ActualName;
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[10072] | 269 | op.EvaluationPartitionParameter.ActualName = FitnessCalculationPartitionParameter.Name;
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| 270 | op.RelativeNumberOfEvaluatedSamplesParameter.ActualName = RelativeNumberOfEvaluatedSamplesParameter.Name;
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| 271 | op.ApplyLinearScalingParameter.ActualName = ApplyLinearScalingParameter.Name;
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[10075] | 272 | op.IntegerVectorParameter.ActualName = SolutionCreator.IntegerVectorParameter.Name;
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| 273 | op.GenotypeToPhenotypeMapperParameter.ActualName = GenotypeToPhenotypeMapperParameter.Name;
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| 274 | op.SymbolicExpressionTreeGrammarParameter.ActualName = SymbolicExpressionTreeGrammarParameter.Name;
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[10072] | 275 | }
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[10073] | 276 | foreach (var op in operators.OfType<IIntegerVectorCrossover>()) {
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[10075] | 277 | op.ParentsParameter.ActualName = SolutionCreator.IntegerVectorParameter.ActualName;
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| 278 | op.ChildParameter.ActualName = SolutionCreator.IntegerVectorParameter.ActualName;
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[10072] | 279 | }
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[10073] | 280 | foreach (var op in operators.OfType<IIntegerVectorManipulator>()) {
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| 281 | op.IntegerVectorParameter.ActualName = SolutionCreator.IntegerVectorParameter.ActualName;
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[10072] | 282 | }
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[10073] | 283 | foreach (var op in operators.OfType<IIntegerVectorCreator>()) {
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| 284 | op.BoundsParameter.ActualName = BoundsParameter.Name;
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| 285 | op.LengthParameter.ActualName = MaximumSymbolicExpressionTreeLengthParameter.Name;
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| 286 | }
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[10072] | 287 | foreach (var op in operators.OfType<ISymbolicExpressionTreeAnalyzer>()) {
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[10073] | 288 | op.SymbolicExpressionTreeParameter.ActualName = Evaluator.SymbolicExpressionTreeParameter.ActualName;
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[10072] | 289 | }
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| 290 | foreach (var op in operators.OfType<ISymbolicDataAnalysisSingleObjectiveAnalyzer>()) {
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| 291 | op.ApplyLinearScalingParameter.ActualName = ApplyLinearScalingParameter.Name;
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| 292 | }
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| 293 | foreach (var op in operators.OfType<ISymbolicDataAnalysisMultiObjectiveAnalyzer>()) {
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| 294 | op.ApplyLinearScalingParameter.ActualName = ApplyLinearScalingParameter.Name;
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| 295 | }
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| 296 | foreach (var op in operators.OfType<ISymbolicDataAnalysisAnalyzer>()) {
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[10073] | 297 | op.SymbolicExpressionTreeParameter.ActualName = Evaluator.SymbolicExpressionTreeParameter.ActualName;
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[10072] | 298 | }
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[10073] | 299 | foreach (var op in operators.OfType<IGESymbolicDataAnalysisValidationAnalyzer<U, T>>()) {
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[10072] | 300 | op.RelativeNumberOfEvaluatedSamplesParameter.ActualName = RelativeNumberOfEvaluatedSamplesParameter.Name;
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| 301 | op.ValidationPartitionParameter.ActualName = ValidationPartitionParameter.Name;
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| 302 | }
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| 303 | foreach (var op in operators.OfType<ISymbolicDataAnalysisInterpreterOperator>()) {
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| 304 | op.SymbolicDataAnalysisTreeInterpreterParameter.ActualName = SymbolicExpressionTreeInterpreterParameter.Name;
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| 305 | }
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| 306 | }
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| 307 |
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| 308 | #region Import & Export
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| 309 | public virtual void Load(T data) {
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| 310 | Name = data.Name;
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| 311 | Description = data.Description;
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| 312 | ProblemData = data;
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| 313 | }
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| 314 |
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| 315 | public virtual T Export() {
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| 316 | return ProblemData;
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| 317 | }
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| 318 | #endregion
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| 319 | }
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| 320 | }
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