[9334] | 1 | #region License Information
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| 2 | /* HeuristicLab
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| 3 | * Copyright (C) 2002-2012 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.Linq;
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| 23 | using HeuristicLab.Common;
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| 24 | using HeuristicLab.Core;
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| 25 | using HeuristicLab.Data;
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| 26 | using HeuristicLab.Encodings.DecisionList;
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| 27 | using HeuristicLab.Encodings.DecisionList.Interfaces;
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| 28 | using HeuristicLab.Optimization;
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[9352] | 29 | using HeuristicLab.Optimization.Operators.LCS;
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| 30 | using HeuristicLab.Optimization.Operators.LCS.DefaultRule;
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[9334] | 31 | using HeuristicLab.Parameters;
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| 32 | using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
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[9342] | 33 | using HeuristicLab.PluginInfrastructure;
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[9334] | 34 | using HeuristicLab.Problems.DataAnalysis;
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[9352] | 35 | using HeuristicLab.Problems.Instances;
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[9334] | 36 |
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| 37 | namespace HeuristicLab.Problems.DecisionListClassification {
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| 38 | [Item("DecisionListClassificationProblem", "")]
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| 39 | [StorableClass]
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| 40 | [Creatable("Problems")]
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[9352] | 41 | public class DecisionListClassificationProblem : HeuristicOptimizationProblem<IDecisionListEvaluator, IDecisionListCreator>,
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| 42 | IDecisionListClassificationProblem, IGAssistProblem,
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| 43 | IProblemInstanceConsumer<DecisionListClassificationProblemData> {
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[9334] | 44 |
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| 45 | #region parameter properties
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| 46 | public IFixedValueParameter<BoolValue> MaximizationParameter {
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| 47 | get { return (IFixedValueParameter<BoolValue>)Parameters["Maximization"]; }
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| 48 | }
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| 49 | IParameter ISingleObjectiveHeuristicOptimizationProblem.MaximizationParameter {
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| 50 | get { return MaximizationParameter; }
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| 51 | }
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| 52 | public IFixedValueParameter<DoubleValue> BestKnownQualityParameter {
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| 53 | get { return (IFixedValueParameter<DoubleValue>)Parameters["BestKnownQuality"]; }
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| 54 | }
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| 55 | IParameter ISingleObjectiveHeuristicOptimizationProblem.BestKnownQualityParameter {
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| 56 | get { return BestKnownQualityParameter; }
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| 57 | }
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| 58 | public IValueParameter<IDecisionListClassificationProblemData> ProblemDataParameter {
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| 59 | get { return (IValueParameter<IDecisionListClassificationProblemData>)Parameters["ProblemData"]; }
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| 60 | }
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| 61 | public IFixedValueParameter<IntValue> SizePenaltyMinRulesParameter {
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| 62 | get { return (IFixedValueParameter<IntValue>)Parameters["SizePenaltyMinRules"]; }
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| 63 | }
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| 64 | public IFixedValueParameter<IntValue> ActivationIterationParameter {
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| 65 | get { return (IFixedValueParameter<IntValue>)Parameters["ActivationIteration"]; }
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| 66 | }
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| 67 | public IFixedValueParameter<DoubleValue> InitialTheoryLengthRatioParameter {
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| 68 | get { return (IFixedValueParameter<DoubleValue>)Parameters["InitialTheoryLengthRatio"]; }
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| 69 | }
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| 70 | public IFixedValueParameter<DoubleValue> WeightRelaxFactorParameter {
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| 71 | get { return (IFixedValueParameter<DoubleValue>)Parameters["WeightRelaxFactor"]; }
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| 72 | }
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[9342] | 73 | public IFixedValueParameter<PercentValue> ActionMutationProbabilityParameter {
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| 74 | get { return (IFixedValueParameter<PercentValue>)Parameters["ActionMutationProbability"]; }
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| 75 | }
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[9334] | 76 |
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| 77 | public IDecisionListClassificationProblemData ProblemData {
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| 78 | get { return ProblemDataParameter.Value; }
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| 79 | protected set {
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| 80 | ProblemDataParameter.Value = value;
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| 81 | }
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| 82 | }
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| 83 | IParameter IDecisionListClassificationProblem.ProblemDataParameter {
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| 84 | get { return ProblemDataParameter; }
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| 85 | }
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| 86 | IDecisionListClassificationProblemData IDecisionListClassificationProblem.ProblemData {
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| 87 | get { return ProblemData; }
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| 88 | }
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| 89 |
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| 90 | IDecisionListEvaluator IDecisionListClassificationProblem.Evaluator {
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| 91 | get { return Evaluator; }
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| 92 | }
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| 93 | ISingleObjectiveEvaluator ISingleObjectiveHeuristicOptimizationProblem.Evaluator {
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| 94 | get { return Evaluator; }
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| 95 | }
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| 96 | #endregion
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| 97 |
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| 98 | [StorableConstructor]
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| 99 | protected DecisionListClassificationProblem(bool deserializing) : base(deserializing) { }
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| 100 | protected DecisionListClassificationProblem(DecisionListClassificationProblem original, Cloner cloner)
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| 101 | : base(original, cloner) {
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| 102 | }
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| 103 |
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| 104 | public DecisionListClassificationProblem()
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| 105 | : this(new DecisionListClassificationProblemData(new Dataset(DecisionListClassificationProblemData.defaultVariableNames, DecisionListClassificationProblemData.defaultData),
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| 106 | DecisionListClassificationProblemData.defaultVariableNames.Take(DecisionListClassificationProblemData.defaultVariableNames.Length - 1), DecisionListClassificationProblemData.defaultVariableNames.Last()),
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| 107 | new MDLEvaluator(), new UniformRandomDecisionListCreator()) { }
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| 108 |
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| 109 | public DecisionListClassificationProblem(IDecisionListClassificationProblemData problemData, IDecisionListEvaluator decisionlistEvaluator, IDecisionListCreator decisionListCreator)
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| 110 | : base(decisionlistEvaluator, decisionListCreator) {
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| 111 | Parameters.Add(new ValueParameter<IDecisionListClassificationProblemData>("ProblemData", "", problemData));
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[9352] | 112 | Parameters.Add(new FixedValueParameter<BoolValue>("Maximization", "", new BoolValue(false)));
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[9334] | 113 | Parameters.Add(new FixedValueParameter<DoubleValue>("BestKnownQuality", "", new DoubleValue(0.5)));
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| 114 | Parameters.Add(new FixedValueParameter<IntValue>("SizePenaltyMinRules", "", new IntValue(4)));
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| 115 | Parameters.Add(new FixedValueParameter<IntValue>("ActivationIteration", "", new IntValue(25)));
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| 116 | Parameters.Add(new FixedValueParameter<DoubleValue>("InitialTheoryLengthRatio", "", new DoubleValue(0.075)));
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| 117 | Parameters.Add(new FixedValueParameter<DoubleValue>("WeightRelaxFactor", "", new DoubleValue(0.9)));
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[9342] | 118 | Parameters.Add(new FixedValueParameter<PercentValue>("ActionMutationProbability", "", new PercentValue(0.1)));
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[9334] | 119 |
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| 120 | Evaluator.SizePenaltyMinRulesParameter.ActualName = "SizePenaltyMinRules";
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| 121 | // do differently
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| 122 | ((MDLEvaluator)Evaluator).MDLCalculatorParameter.Value = new MDLCalculator(ActivationIterationParameter.Value.Value, InitialTheoryLengthRatioParameter.Value.Value, WeightRelaxFactorParameter.Value.Value);
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[9342] | 123 |
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| 124 | InitializeOperators();
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[9334] | 125 | }
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[9342] | 126 |
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| 127 | private void InitializeOperators() {
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[9352] | 128 | foreach (var op in ApplicationManager.Manager.GetInstances<IDefaultRuleOperator>())
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| 129 | Operators.Add(op);
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[9342] | 130 | foreach (var op in ApplicationManager.Manager.GetInstances<IDecisionListCrossover>())
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| 131 | Operators.Add(op);
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| 132 | foreach (var op in ApplicationManager.Manager.GetInstances<IDecisionListManipulator>())
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| 133 | Operators.Add(op);
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| 134 |
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| 135 | ParameterizeOperators();
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[9352] | 136 |
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| 137 | BestTrainingDecisionListAnalyzer analyzer = new BestTrainingDecisionListAnalyzer();
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| 138 | analyzer.ProblemDataParameter.ActualName = ProblemDataParameter.Name;
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| 139 | analyzer.IndividualParameter.ActualName = SolutionCreator.DecisionListParameter.ActualName;
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| 140 | analyzer.QualityParameter.ActualName = Evaluator.QualityParameter.ActualName;
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| 141 | analyzer.ResultsParameter.ActualName = "Results";
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| 142 | analyzer.MaximizationParameter.ActualName = MaximizationParameter.Name;
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| 143 | Operators.Add(analyzer);
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[9342] | 144 | }
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| 145 |
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| 146 | private void ParameterizeOperators() {
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[9352] | 147 | var autoDefaultRule = Operators.Where(x => x is AutoDefaultRule).Select(x => x as AutoDefaultRule).First();
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| 148 | autoDefaultRule.QualityParameter.ActualName = Evaluator.QualityParameter.ActualName;
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| 149 | autoDefaultRule.GAssistNichesProblemDataParameter.ActualName = ProblemDataParameter.Name;
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| 150 | autoDefaultRule.NicheComparerParameter.Value = new DecisionListNicheComparer();
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| 151 | foreach (IDefaultRuleOperator op in Operators.OfType<IDefaultRuleOperator>()) {
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| 152 | op.IndividualParameter.ActualName = SolutionCreator.DecisionListParameter.ActualName;
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| 153 | op.EvaluatorParameter.ActualName = EvaluatorParameter.Name;
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| 154 | op.GAssistNichesProblemDataParameter.ActualName = ProblemDataParameter.Name;
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| 155 | op.GAssistNichesProblemDataParameter.Hidden = true;
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| 156 | op.NichingParameter.ActualName = "Niching";
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| 157 | }
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[9342] | 158 | foreach (IDecisionListCrossover op in Operators.OfType<IDecisionListCrossover>()) {
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| 159 | op.ParentsParameter.ActualName = SolutionCreator.DecisionListParameter.ActualName;
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| 160 | op.ParentsParameter.Hidden = true;
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| 161 | op.ChildParameter.ActualName = SolutionCreator.DecisionListParameter.ActualName;
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| 162 | op.ChildParameter.Hidden = true;
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| 163 | }
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| 164 | foreach (IDecisionListManipulator op in Operators.OfType<IDecisionListManipulator>()) {
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| 165 | op.ChildParameter.ActualName = SolutionCreator.DecisionListParameter.ActualName;
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| 166 | op.ChildParameter.Hidden = true;
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| 167 | op.ActionMutationProbabilityParameter.ActualName = ActionMutationProbabilityParameter.Name;
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| 168 | op.ActionMutationProbabilityParameter.Hidden = true;
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| 169 | }
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| 170 | }
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[9334] | 171 | public override IDeepCloneable Clone(Cloner cloner) {
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| 172 | return new DecisionListClassificationProblem(this, cloner);
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| 173 | }
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[9352] | 174 |
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| 175 | IParameter IGAssistProblem.ProblemDataParameter {
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| 176 | get { return ProblemDataParameter; }
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| 177 | }
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| 178 |
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| 179 | public string NichingParameterName {
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| 180 | get { return "Niching"; }
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| 181 | }
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| 182 |
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| 183 | public void Load(DecisionListClassificationProblemData data) {
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| 184 | Name = data.Name;
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| 185 | Description = data.Description;
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| 186 | ProblemData = data;
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| 187 | }
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[9334] | 188 | }
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| 189 | }
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