[13368] | 1 | #region License Information
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[11025] | 2 |
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| 3 | /* HeuristicLab
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[12012] | 4 | * Copyright (C) 2002-2015 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
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[11025] | 5 | *
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| 6 | * This file is part of HeuristicLab.
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| 7 | *
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| 8 | * HeuristicLab is free software: you can redistribute it and/or modify
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| 9 | * it under the terms of the GNU General Public License as published by
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| 10 | * the Free Software Foundation, either version 3 of the License, or
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| 11 | * (at your option) any later version.
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| 12 | *
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| 13 | * HeuristicLab is distributed in the hope that it will be useful,
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| 14 | * but WITHOUT ANY WARRANTY; without even the implied warranty of
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| 15 | * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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| 16 | * GNU General Public License for more details.
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| 17 | *
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| 18 | * You should have received a copy of the GNU General Public License
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| 19 | * along with HeuristicLab. If not, see <http://www.gnu.org/licenses/>.
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| 20 | */
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| 21 |
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| 22 | #endregion
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| 23 |
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| 24 | using System;
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[10368] | 25 | using System.Linq;
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| 26 | using HeuristicLab.Analysis;
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| 27 | using HeuristicLab.Common;
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| 28 | using HeuristicLab.Core;
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| 29 | using HeuristicLab.Data;
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[10469] | 30 | using HeuristicLab.Operators;
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| 31 | using HeuristicLab.Optimization.Operators;
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[10368] | 32 | using HeuristicLab.Parameters;
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| 33 | using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
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| 34 |
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| 35 | namespace HeuristicLab.Problems.DataAnalysis.Symbolic {
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[14711] | 36 | [StorableType("99AE0475-0C3A-4CD1-8D31-EC7B34537B24")]
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[10368] | 37 | [Item("SymbolicDataAnalysisSingleObjectivePruningAnalyzer", "An analyzer that prunes introns from trees in single objective symbolic data analysis problems.")]
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| 38 | public abstract class SymbolicDataAnalysisSingleObjectivePruningAnalyzer : SymbolicDataAnalysisSingleObjectiveAnalyzer {
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[10469] | 39 | #region parameter names
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[10368] | 40 | private const string ProblemDataParameterName = "ProblemData";
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| 41 | private const string UpdateIntervalParameterName = "UpdateInverval";
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| 42 | private const string UpdateCounterParameterName = "UpdateCounter";
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| 43 | private const string PopulationSliceParameterName = "PopulationSlice";
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| 44 | private const string PruningProbabilityParameterName = "PruningProbability";
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[10469] | 45 | private const string TotalNumberOfPrunedSubtreesParameterName = "Number of pruned subtrees";
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| 46 | private const string TotalNumberOfPrunedTreesParameterName = "Number of pruned trees";
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[12361] | 47 | private const string TotalNumberOfPrunedNodesParameterName = "Number of pruned nodes";
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[10368] | 48 | private const string RandomParameterName = "Random";
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[10469] | 49 | private const string ResultsParameterName = "Results";
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[11013] | 50 | private const string PopulationSizeParameterName = "PopulationSize";
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[10469] | 51 | #endregion
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[11025] | 52 |
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[10469] | 53 | #region private members
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[12361] | 54 | private DataReducer prunedNodesReducer;
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[10469] | 55 | private DataReducer prunedSubtreesReducer;
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| 56 | private DataReducer prunedTreesReducer;
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| 57 | private DataTableValuesCollector valuesCollector;
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| 58 | private ResultsCollector resultsCollector;
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| 59 | #endregion
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[11025] | 60 |
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[10368] | 61 | #region parameter properties
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| 62 | public ILookupParameter<IRandom> RandomParameter {
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| 63 | get { return (ILookupParameter<IRandom>)Parameters[RandomParameterName]; }
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| 64 | }
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[11026] | 65 | public IFixedValueParameter<IntValue> UpdateIntervalParameter {
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| 66 | get { return (IFixedValueParameter<IntValue>)Parameters[UpdateIntervalParameterName]; }
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[10368] | 67 | }
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[11026] | 68 | public IFixedValueParameter<IntValue> UpdateCounterParameter {
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| 69 | get { return (IFixedValueParameter<IntValue>)Parameters[UpdateCounterParameterName]; }
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[10368] | 70 | }
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[11026] | 71 | public IFixedValueParameter<DoubleRange> PopulationSliceParameter {
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| 72 | get { return (IFixedValueParameter<DoubleRange>)Parameters[PopulationSliceParameterName]; }
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[10368] | 73 | }
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[11026] | 74 | public IFixedValueParameter<DoubleValue> PruningProbabilityParameter {
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| 75 | get { return (IFixedValueParameter<DoubleValue>)Parameters[PruningProbabilityParameterName]; }
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[10368] | 76 | }
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[11013] | 77 | public ILookupParameter<IntValue> PopulationSizeParameter {
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| 78 | get { return (ILookupParameter<IntValue>)Parameters[PopulationSizeParameterName]; }
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| 79 | }
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[10368] | 80 | #endregion
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[11025] | 81 |
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[10368] | 82 | #region properties
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[12358] | 83 | protected abstract SymbolicDataAnalysisExpressionPruningOperator PruningOperator { get; }
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[11026] | 84 | protected int UpdateInterval { get { return UpdateIntervalParameter.Value.Value; } }
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[11025] | 85 |
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[11026] | 86 | protected int UpdateCounter {
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| 87 | get { return UpdateCounterParameter.Value.Value; }
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| 88 | set { UpdateCounterParameter.Value.Value = value; }
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| 89 | }
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| 90 |
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| 91 | protected double PopulationSliceStart {
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| 92 | get { return PopulationSliceParameter.Value.Start; }
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| 93 | set { PopulationSliceParameter.Value.Start = value; }
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| 94 | }
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| 95 |
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| 96 | protected double PopulationSliceEnd {
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| 97 | get { return PopulationSliceParameter.Value.End; }
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| 98 | set { PopulationSliceParameter.Value.End = value; }
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| 99 | }
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| 100 |
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| 101 | protected double PruningProbability {
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| 102 | get { return PruningProbabilityParameter.Value.Value; }
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| 103 | set { PruningProbabilityParameter.Value.Value = value; }
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| 104 | }
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[10368] | 105 | #endregion
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[11025] | 106 |
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[10414] | 107 | #region IStatefulItem members
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| 108 | public override void InitializeState() {
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| 109 | base.InitializeState();
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[11026] | 110 | UpdateCounter = 0;
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[10414] | 111 | }
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| 112 | public override void ClearState() {
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| 113 | base.ClearState();
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[11026] | 114 | UpdateCounter = 0;
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[10414] | 115 | }
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| 116 | #endregion
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| 117 |
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[10378] | 118 | [StorableConstructor]
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| 119 | protected SymbolicDataAnalysisSingleObjectivePruningAnalyzer(bool deserializing) : base(deserializing) { }
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[11025] | 120 |
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[10368] | 121 | protected SymbolicDataAnalysisSingleObjectivePruningAnalyzer(SymbolicDataAnalysisSingleObjectivePruningAnalyzer original, Cloner cloner)
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| 122 | : base(original, cloner) {
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[12361] | 123 | if (original.prunedNodesReducer != null)
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| 124 | this.prunedNodesReducer = (DataReducer)original.prunedNodesReducer.Clone();
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[10470] | 125 | if (original.prunedSubtreesReducer != null)
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| 126 | this.prunedSubtreesReducer = (DataReducer)original.prunedSubtreesReducer.Clone();
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| 127 | if (original.prunedTreesReducer != null)
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| 128 | this.prunedTreesReducer = (DataReducer)original.prunedTreesReducer.Clone();
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| 129 | if (original.valuesCollector != null)
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| 130 | this.valuesCollector = (DataTableValuesCollector)original.valuesCollector.Clone();
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| 131 | if (original.resultsCollector != null)
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| 132 | this.resultsCollector = (ResultsCollector)original.resultsCollector.Clone();
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[10368] | 133 | }
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[11013] | 134 |
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| 135 | [StorableHook(HookType.AfterDeserialization)]
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| 136 | private void AfterDeserialization() {
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| 137 | if (!Parameters.ContainsKey(PopulationSizeParameterName)) {
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| 138 | Parameters.Add(new LookupParameter<IntValue>(PopulationSizeParameterName, "The population of individuals."));
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| 139 | }
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[11027] | 140 | if (Parameters.ContainsKey(UpdateCounterParameterName)) {
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| 141 | var fixedValueParameter = Parameters[UpdateCounterParameterName] as FixedValueParameter<IntValue>;
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| 142 | if (fixedValueParameter == null) {
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| 143 | var valueParameter = (ValueParameter<IntValue>)Parameters[UpdateCounterParameterName];
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| 144 | Parameters.Remove(UpdateCounterParameterName);
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| 145 | Parameters.Add(new FixedValueParameter<IntValue>(UpdateCounterParameterName, valueParameter.Value));
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| 146 | }
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| 147 | }
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| 148 | if (Parameters.ContainsKey(UpdateIntervalParameterName)) {
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| 149 | var fixedValueParameter = Parameters[UpdateIntervalParameterName] as FixedValueParameter<IntValue>;
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| 150 | if (fixedValueParameter == null) {
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| 151 | var valueParameter = (ValueParameter<IntValue>)Parameters[UpdateIntervalParameterName];
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| 152 | Parameters.Remove(UpdateIntervalParameterName);
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| 153 | Parameters.Add(new FixedValueParameter<IntValue>(UpdateIntervalParameterName, valueParameter.Value));
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| 154 | }
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| 155 | }
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| 156 | if (Parameters.ContainsKey(PopulationSliceParameterName)) {
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| 157 | var fixedValueParameter = Parameters[PopulationSliceParameterName] as FixedValueParameter<DoubleRange>;
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| 158 | if (fixedValueParameter == null) {
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| 159 | var valueParameter = (ValueParameter<DoubleRange>)Parameters[PopulationSliceParameterName];
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| 160 | Parameters.Remove(PopulationSliceParameterName);
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| 161 | Parameters.Add(new FixedValueParameter<DoubleRange>(PopulationSliceParameterName, valueParameter.Value));
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| 162 | }
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| 163 | }
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| 164 | if (Parameters.ContainsKey(PruningProbabilityParameterName)) {
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| 165 | var fixedValueParameter = Parameters[PruningProbabilityParameterName] as FixedValueParameter<DoubleValue>;
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| 166 | if (fixedValueParameter == null) {
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| 167 | var valueParameter = (ValueParameter<DoubleValue>)Parameters[PruningProbabilityParameterName];
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| 168 | Parameters.Remove(PruningProbabilityParameterName);
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| 169 | Parameters.Add(new FixedValueParameter<DoubleValue>(PruningProbabilityParameterName, valueParameter.Value));
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| 170 | }
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| 171 | }
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[11013] | 172 | }
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| 173 |
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[10368] | 174 | protected SymbolicDataAnalysisSingleObjectivePruningAnalyzer() {
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[10469] | 175 | #region add parameters
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[11026] | 176 | Parameters.Add(new FixedValueParameter<DoubleRange>(PopulationSliceParameterName, "The slice of the population where pruning should be applied.", new DoubleRange(0.75, 1)));
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| 177 | Parameters.Add(new FixedValueParameter<DoubleValue>(PruningProbabilityParameterName, "The probability for pruning an individual.", new DoubleValue(0.5)));
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| 178 | Parameters.Add(new FixedValueParameter<IntValue>(UpdateIntervalParameterName, "The interval in which the tree length analysis should be applied.", new IntValue(1)));
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| 179 | Parameters.Add(new FixedValueParameter<IntValue>(UpdateCounterParameterName, "The value which counts how many times the operator was called", new IntValue(0)));
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| 180 | Parameters.Add(new LookupParameter<IRandom>(RandomParameterName, "The random number generator."));
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| 181 | Parameters.Add(new LookupParameter<IDataAnalysisProblemData>(ProblemDataParameterName, "The problem data."));
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[11013] | 182 | Parameters.Add(new LookupParameter<IntValue>(PopulationSizeParameterName, "The population of individuals."));
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[10469] | 183 | #endregion
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[10368] | 184 | }
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| 185 |
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[10469] | 186 | //
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| 187 | /// <summary>
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| 188 | /// Computes the closed interval bounding the portion of the population that is to be pruned.
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| 189 | /// </summary>
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| 190 | /// <returns>Returns an int range [start, end]</returns>
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| 191 | private IntRange GetSliceBounds() {
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[11026] | 192 | if (PopulationSliceStart < 0 || PopulationSliceEnd < 0) throw new ArgumentOutOfRangeException("The slice bounds cannot be negative.");
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| 193 | if (PopulationSliceStart > 1 || PopulationSliceEnd > 1) throw new ArgumentOutOfRangeException("The slice bounds should be expressed as unit percentages.");
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[11013] | 194 | var count = PopulationSizeParameter.ActualValue.Value;
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[11026] | 195 | var start = (int)Math.Round(PopulationSliceStart * count);
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| 196 | var end = (int)Math.Round(PopulationSliceEnd * count);
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[10469] | 197 | if (end > count) end = count;
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[10368] | 198 |
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[10469] | 199 | if (start >= end) throw new ArgumentOutOfRangeException("Invalid PopulationSlice bounds.");
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| 200 | return new IntRange(start, end);
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| 201 | }
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[10368] | 202 |
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[10469] | 203 | private IOperation CreatePruningOperation() {
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[11026] | 204 | var operations = new OperationCollection { Parallel = true };
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[10469] | 205 | var range = GetSliceBounds();
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| 206 | var qualities = Quality.Select(x => x.Value).ToArray();
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| 207 | var indices = Enumerable.Range(0, qualities.Length).ToArray();
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[12674] | 208 | indices.StableSort((a, b) => qualities[a].CompareTo(qualities[b]));
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| 209 |
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[10469] | 210 | if (!Maximization.Value) Array.Reverse(indices);
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[10368] | 211 |
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[10469] | 212 | var subscopes = ExecutionContext.Scope.SubScopes;
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[11025] | 213 | var random = RandomParameter.ActualValue;
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[10368] | 214 |
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[11026] | 215 | var empty = new EmptyOperator();
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| 216 |
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[12674] | 217 | for (int i = 0; i < indices.Length; ++i) {
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[11026] | 218 | IOperator @operator;
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| 219 | if (range.Start <= i && i < range.End && random.NextDouble() <= PruningProbability)
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| 220 | @operator = PruningOperator;
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| 221 | else @operator = empty;
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[10469] | 222 | var index = indices[i];
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| 223 | var subscope = subscopes[index];
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[11026] | 224 | operations.Add(ExecutionContext.CreateChildOperation(@operator, subscope));
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[10368] | 225 | }
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[11026] | 226 | return operations;
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[10469] | 227 | }
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[10368] | 228 |
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[10469] | 229 | public override IOperation Apply() {
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[11026] | 230 | UpdateCounter++;
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| 231 | if (UpdateCounter != UpdateInterval) return base.Apply();
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| 232 | UpdateCounter = 0;
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[10368] | 233 |
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[12361] | 234 | if (prunedNodesReducer == null || prunedSubtreesReducer == null || prunedTreesReducer == null || valuesCollector == null || resultsCollector == null) { InitializeOperators(); }
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[10368] | 235 |
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[10469] | 236 | var prune = CreatePruningOperation();
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[12361] | 237 | var reducePrunedNodes = ExecutionContext.CreateChildOperation(prunedNodesReducer);
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[10469] | 238 | var reducePrunedSubtrees = ExecutionContext.CreateChildOperation(prunedSubtreesReducer);
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| 239 | var reducePrunedTrees = ExecutionContext.CreateChildOperation(prunedTreesReducer);
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| 240 | var collectValues = ExecutionContext.CreateChildOperation(valuesCollector);
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| 241 | var collectResults = ExecutionContext.CreateChildOperation(resultsCollector);
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[10368] | 242 |
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[12361] | 243 | return new OperationCollection { prune, reducePrunedNodes, reducePrunedSubtrees, reducePrunedTrees, collectValues, collectResults, base.Apply() };
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[10368] | 244 | }
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[11025] | 245 |
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| 246 | private void InitializeOperators() {
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[12361] | 247 | prunedNodesReducer = new DataReducer();
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| 248 | prunedNodesReducer.ParameterToReduce.ActualName = PruningOperator.PrunedNodesParameter.ActualName;
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| 249 | prunedNodesReducer.ReductionOperation.Value = new ReductionOperation(ReductionOperations.Sum); // sum all the pruned subtrees parameter values
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| 250 | prunedNodesReducer.TargetOperation.Value = new ReductionOperation(ReductionOperations.Assign); // asign the sum to the target parameter
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| 251 | prunedNodesReducer.TargetParameter.ActualName = TotalNumberOfPrunedNodesParameterName;
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| 252 |
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[11025] | 253 | prunedSubtreesReducer = new DataReducer();
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| 254 | prunedSubtreesReducer.ParameterToReduce.ActualName = PruningOperator.PrunedSubtreesParameter.ActualName;
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| 255 | prunedSubtreesReducer.ReductionOperation.Value = new ReductionOperation(ReductionOperations.Sum); // sum all the pruned subtrees parameter values
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| 256 | prunedSubtreesReducer.TargetOperation.Value = new ReductionOperation(ReductionOperations.Assign); // asign the sum to the target parameter
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| 257 | prunedSubtreesReducer.TargetParameter.ActualName = TotalNumberOfPrunedSubtreesParameterName;
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| 258 |
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| 259 | prunedTreesReducer = new DataReducer();
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| 260 | prunedTreesReducer.ParameterToReduce.ActualName = PruningOperator.PrunedTreesParameter.ActualName;
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| 261 | prunedTreesReducer.ReductionOperation.Value = new ReductionOperation(ReductionOperations.Sum);
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| 262 | prunedTreesReducer.TargetOperation.Value = new ReductionOperation(ReductionOperations.Assign);
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| 263 | prunedTreesReducer.TargetParameter.ActualName = TotalNumberOfPrunedTreesParameterName;
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| 264 |
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| 265 | valuesCollector = new DataTableValuesCollector();
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[12361] | 266 | valuesCollector.CollectedValues.Add(new LookupParameter<IntValue>(TotalNumberOfPrunedNodesParameterName));
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[11025] | 267 | valuesCollector.CollectedValues.Add(new LookupParameter<IntValue>(TotalNumberOfPrunedSubtreesParameterName));
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| 268 | valuesCollector.CollectedValues.Add(new LookupParameter<IntValue>(TotalNumberOfPrunedTreesParameterName));
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| 269 | valuesCollector.DataTableParameter.ActualName = "Population pruning";
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| 270 |
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| 271 | resultsCollector = new ResultsCollector();
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| 272 | resultsCollector.CollectedValues.Add(new LookupParameter<DataTable>("Population pruning"));
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| 273 | resultsCollector.ResultsParameter.ActualName = ResultsParameterName;
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| 274 | }
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[10368] | 275 | }
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| 276 | }
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