1 | #region License Information
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2 |
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3 | /* HeuristicLab
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4 | * Copyright (C) 2002-2015 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
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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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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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30 | using HeuristicLab.Operators;
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31 | using HeuristicLab.Optimization.Operators;
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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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36 | [StorableClass]
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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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39 | #region parameter names
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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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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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47 | private const string RandomParameterName = "Random";
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48 | private const string PruneOnlyZeroImpactNodesParameterName = "PruneOnlyZeroImpactNodes";
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49 | private const string NodeImpactThresholdParameterName = "ImpactThreshold";
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50 | private const string PruningOperatorParameterName = "PruningOperator";
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51 | private const string ResultsParameterName = "Results";
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52 | private const string PopulationSizeParameterName = "PopulationSize";
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53 | #endregion
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54 |
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55 | #region private members
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56 | private DataReducer prunedSubtreesReducer;
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57 | private DataReducer prunedTreesReducer;
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58 | private DataTableValuesCollector valuesCollector;
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59 | private ResultsCollector resultsCollector;
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60 | #endregion
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61 |
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62 | #region parameter properties
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63 | public IValueParameter<SymbolicDataAnalysisExpressionPruningOperator> PruningOperatorParameter {
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64 | get { return (IValueParameter<SymbolicDataAnalysisExpressionPruningOperator>)Parameters[PruningOperatorParameterName]; }
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65 | }
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66 | public IFixedValueParameter<BoolValue> PruneOnlyZeroImpactNodesParameter {
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67 | get { return (IFixedValueParameter<BoolValue>)Parameters[PruneOnlyZeroImpactNodesParameterName]; }
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68 | }
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69 | public IFixedValueParameter<DoubleValue> NodeImpactThresholdParameter {
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70 | get { return (IFixedValueParameter<DoubleValue>)Parameters[NodeImpactThresholdParameterName]; }
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71 | }
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72 | public ILookupParameter<IRandom> RandomParameter {
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73 | get { return (ILookupParameter<IRandom>)Parameters[RandomParameterName]; }
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74 | }
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75 | public IFixedValueParameter<IntValue> UpdateIntervalParameter {
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76 | get { return (IFixedValueParameter<IntValue>)Parameters[UpdateIntervalParameterName]; }
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77 | }
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78 | public IFixedValueParameter<IntValue> UpdateCounterParameter {
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79 | get { return (IFixedValueParameter<IntValue>)Parameters[UpdateCounterParameterName]; }
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80 | }
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81 | public IFixedValueParameter<DoubleRange> PopulationSliceParameter {
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82 | get { return (IFixedValueParameter<DoubleRange>)Parameters[PopulationSliceParameterName]; }
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83 | }
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84 | public IFixedValueParameter<DoubleValue> PruningProbabilityParameter {
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85 | get { return (IFixedValueParameter<DoubleValue>)Parameters[PruningProbabilityParameterName]; }
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86 | }
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87 | public ILookupParameter<IntValue> PopulationSizeParameter {
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88 | get { return (ILookupParameter<IntValue>)Parameters[PopulationSizeParameterName]; }
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89 | }
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90 | #endregion
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91 |
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92 | #region properties
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93 | protected SymbolicDataAnalysisExpressionPruningOperator PruningOperator { get { return PruningOperatorParameter.Value; } }
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94 | protected int UpdateInterval { get { return UpdateIntervalParameter.Value.Value; } }
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95 |
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96 | protected int UpdateCounter {
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97 | get { return UpdateCounterParameter.Value.Value; }
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98 | set { UpdateCounterParameter.Value.Value = value; }
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99 | }
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100 |
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101 | protected double PopulationSliceStart {
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102 | get { return PopulationSliceParameter.Value.Start; }
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103 | set { PopulationSliceParameter.Value.Start = value; }
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104 | }
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105 |
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106 | protected double PopulationSliceEnd {
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107 | get { return PopulationSliceParameter.Value.End; }
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108 | set { PopulationSliceParameter.Value.End = value; }
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109 | }
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110 |
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111 | protected double PruningProbability {
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112 | get { return PruningProbabilityParameter.Value.Value; }
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113 | set { PruningProbabilityParameter.Value.Value = value; }
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114 | }
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115 |
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116 | protected bool PruneOnlyZeroImpactNodes {
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117 | get { return PruneOnlyZeroImpactNodesParameter.Value.Value; }
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118 | set { PruneOnlyZeroImpactNodesParameter.Value.Value = value; }
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119 | }
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120 | protected double NodeImpactThreshold {
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121 | get { return NodeImpactThresholdParameter.Value.Value; }
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122 | set { NodeImpactThresholdParameter.Value.Value = value; }
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123 | }
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124 | #endregion
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125 |
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126 | #region IStatefulItem members
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127 | public override void InitializeState() {
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128 | base.InitializeState();
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129 | UpdateCounter = 0;
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130 | }
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131 | public override void ClearState() {
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132 | base.ClearState();
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133 | UpdateCounter = 0;
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134 | }
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135 | #endregion
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136 |
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137 | [StorableConstructor]
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138 | protected SymbolicDataAnalysisSingleObjectivePruningAnalyzer(bool deserializing) : base(deserializing) { }
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139 |
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140 | protected SymbolicDataAnalysisSingleObjectivePruningAnalyzer(SymbolicDataAnalysisSingleObjectivePruningAnalyzer original, Cloner cloner)
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141 | : base(original, cloner) {
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142 | if (original.prunedSubtreesReducer != null)
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143 | this.prunedSubtreesReducer = (DataReducer)original.prunedSubtreesReducer.Clone();
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144 | if (original.prunedTreesReducer != null)
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145 | this.prunedTreesReducer = (DataReducer)original.prunedTreesReducer.Clone();
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146 | if (original.valuesCollector != null)
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147 | this.valuesCollector = (DataTableValuesCollector)original.valuesCollector.Clone();
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148 | if (original.resultsCollector != null)
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149 | this.resultsCollector = (ResultsCollector)original.resultsCollector.Clone();
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150 | }
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151 |
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152 | [StorableHook(HookType.AfterDeserialization)]
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153 | private void AfterDeserialization() {
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154 | if (!Parameters.ContainsKey(PopulationSizeParameterName)) {
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155 | Parameters.Add(new LookupParameter<IntValue>(PopulationSizeParameterName, "The population of individuals."));
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156 | }
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157 | if (Parameters.ContainsKey(UpdateCounterParameterName)) {
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158 | var fixedValueParameter = Parameters[UpdateCounterParameterName] as FixedValueParameter<IntValue>;
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159 | if (fixedValueParameter == null) {
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160 | var valueParameter = (ValueParameter<IntValue>)Parameters[UpdateCounterParameterName];
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161 | Parameters.Remove(UpdateCounterParameterName);
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162 | Parameters.Add(new FixedValueParameter<IntValue>(UpdateCounterParameterName, valueParameter.Value));
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163 | }
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164 | }
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165 | if (Parameters.ContainsKey(UpdateIntervalParameterName)) {
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166 | var fixedValueParameter = Parameters[UpdateIntervalParameterName] as FixedValueParameter<IntValue>;
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167 | if (fixedValueParameter == null) {
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168 | var valueParameter = (ValueParameter<IntValue>)Parameters[UpdateIntervalParameterName];
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169 | Parameters.Remove(UpdateIntervalParameterName);
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170 | Parameters.Add(new FixedValueParameter<IntValue>(UpdateIntervalParameterName, valueParameter.Value));
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171 | }
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172 | }
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173 | if (Parameters.ContainsKey(PopulationSliceParameterName)) {
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174 | var fixedValueParameter = Parameters[PopulationSliceParameterName] as FixedValueParameter<DoubleRange>;
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175 | if (fixedValueParameter == null) {
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176 | var valueParameter = (ValueParameter<DoubleRange>)Parameters[PopulationSliceParameterName];
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177 | Parameters.Remove(PopulationSliceParameterName);
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178 | Parameters.Add(new FixedValueParameter<DoubleRange>(PopulationSliceParameterName, valueParameter.Value));
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179 | }
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180 | }
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181 | if (Parameters.ContainsKey(PruningProbabilityParameterName)) {
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182 | var fixedValueParameter = Parameters[PruningProbabilityParameterName] as FixedValueParameter<DoubleValue>;
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183 | if (fixedValueParameter == null) {
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184 | var valueParameter = (ValueParameter<DoubleValue>)Parameters[PruningProbabilityParameterName];
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185 | Parameters.Remove(PruningProbabilityParameterName);
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186 | Parameters.Add(new FixedValueParameter<DoubleValue>(PruningProbabilityParameterName, valueParameter.Value));
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187 | }
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188 | }
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189 | }
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190 |
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191 | protected SymbolicDataAnalysisSingleObjectivePruningAnalyzer() {
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192 | #region add parameters
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193 | 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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194 | Parameters.Add(new FixedValueParameter<DoubleValue>(PruningProbabilityParameterName, "The probability for pruning an individual.", new DoubleValue(0.5)));
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195 | Parameters.Add(new FixedValueParameter<IntValue>(UpdateIntervalParameterName, "The interval in which the tree length analysis should be applied.", new IntValue(1)));
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196 | Parameters.Add(new FixedValueParameter<IntValue>(UpdateCounterParameterName, "The value which counts how many times the operator was called", new IntValue(0)));
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197 | Parameters.Add(new LookupParameter<IRandom>(RandomParameterName, "The random number generator."));
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198 | Parameters.Add(new LookupParameter<IDataAnalysisProblemData>(ProblemDataParameterName, "The problem data."));
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199 | Parameters.Add(new FixedValueParameter<DoubleValue>(NodeImpactThresholdParameterName, "The impact threshold below which an individual should be pruned.", new DoubleValue(0.0)));
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200 | Parameters.Add(new FixedValueParameter<BoolValue>(PruneOnlyZeroImpactNodesParameterName, "Switch to determine of only zero impact individuals should be pruned.", new BoolValue(false)));
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201 | Parameters.Add(new LookupParameter<IntValue>(PopulationSizeParameterName, "The population of individuals."));
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202 | #endregion
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203 | }
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204 |
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205 | //
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206 | /// <summary>
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207 | /// Computes the closed interval bounding the portion of the population that is to be pruned.
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208 | /// </summary>
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209 | /// <returns>Returns an int range [start, end]</returns>
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210 | private IntRange GetSliceBounds() {
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211 | if (PopulationSliceStart < 0 || PopulationSliceEnd < 0) throw new ArgumentOutOfRangeException("The slice bounds cannot be negative.");
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212 | if (PopulationSliceStart > 1 || PopulationSliceEnd > 1) throw new ArgumentOutOfRangeException("The slice bounds should be expressed as unit percentages.");
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213 | var count = PopulationSizeParameter.ActualValue.Value;
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214 | var start = (int)Math.Round(PopulationSliceStart * count);
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215 | var end = (int)Math.Round(PopulationSliceEnd * count);
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216 | if (end > count) end = count;
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217 |
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218 | if (start >= end) throw new ArgumentOutOfRangeException("Invalid PopulationSlice bounds.");
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219 | return new IntRange(start, end);
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220 | }
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221 |
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222 | private IOperation CreatePruningOperation() {
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223 | var operations = new OperationCollection { Parallel = true };
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224 | var range = GetSliceBounds();
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225 | var qualities = Quality.Select(x => x.Value).ToArray();
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226 | var indices = Enumerable.Range(0, qualities.Length).ToArray();
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227 | Array.Sort(qualities, indices);
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228 | if (!Maximization.Value) Array.Reverse(indices);
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229 |
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230 | var subscopes = ExecutionContext.Scope.SubScopes;
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231 | var random = RandomParameter.ActualValue;
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232 |
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233 | var empty = new EmptyOperator();
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234 |
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235 | for (int i = 0; i < subscopes.Count; ++i) {
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236 | IOperator @operator;
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237 | if (range.Start <= i && i < range.End && random.NextDouble() <= PruningProbability)
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238 | @operator = PruningOperator;
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239 | else @operator = empty;
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240 | var index = indices[i];
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241 | var subscope = subscopes[index];
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242 | operations.Add(ExecutionContext.CreateChildOperation(@operator, subscope));
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243 | }
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244 | return operations;
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245 | }
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246 |
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247 | public override IOperation Apply() {
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248 | UpdateCounter++;
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249 | if (UpdateCounter != UpdateInterval) return base.Apply();
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250 | UpdateCounter = 0;
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251 |
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252 | if (prunedSubtreesReducer == null || prunedTreesReducer == null || valuesCollector == null || resultsCollector == null) { InitializeOperators(); }
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253 |
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254 | var prune = CreatePruningOperation();
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255 | var reducePrunedSubtrees = ExecutionContext.CreateChildOperation(prunedSubtreesReducer);
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256 | var reducePrunedTrees = ExecutionContext.CreateChildOperation(prunedTreesReducer);
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257 | var collectValues = ExecutionContext.CreateChildOperation(valuesCollector);
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258 | var collectResults = ExecutionContext.CreateChildOperation(resultsCollector);
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259 |
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260 | return new OperationCollection { prune, reducePrunedSubtrees, reducePrunedTrees, collectValues, collectResults, base.Apply() };
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261 | }
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262 |
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263 | private void InitializeOperators() {
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264 | prunedSubtreesReducer = new DataReducer();
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265 | prunedSubtreesReducer.ParameterToReduce.ActualName = PruningOperator.PrunedSubtreesParameter.ActualName;
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266 | prunedSubtreesReducer.ReductionOperation.Value = new ReductionOperation(ReductionOperations.Sum); // sum all the pruned subtrees parameter values
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267 | prunedSubtreesReducer.TargetOperation.Value = new ReductionOperation(ReductionOperations.Assign); // asign the sum to the target parameter
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268 | prunedSubtreesReducer.TargetParameter.ActualName = TotalNumberOfPrunedSubtreesParameterName;
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269 |
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270 | prunedTreesReducer = new DataReducer();
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271 | prunedTreesReducer.ParameterToReduce.ActualName = PruningOperator.PrunedTreesParameter.ActualName;
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272 | prunedTreesReducer.ReductionOperation.Value = new ReductionOperation(ReductionOperations.Sum);
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273 | prunedTreesReducer.TargetOperation.Value = new ReductionOperation(ReductionOperations.Assign);
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274 | prunedTreesReducer.TargetParameter.ActualName = TotalNumberOfPrunedTreesParameterName;
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275 |
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276 | valuesCollector = new DataTableValuesCollector();
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277 | valuesCollector.CollectedValues.Add(new LookupParameter<IntValue>(TotalNumberOfPrunedSubtreesParameterName));
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278 | valuesCollector.CollectedValues.Add(new LookupParameter<IntValue>(TotalNumberOfPrunedTreesParameterName));
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279 | valuesCollector.DataTableParameter.ActualName = "Population pruning";
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280 |
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281 | resultsCollector = new ResultsCollector();
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282 | resultsCollector.CollectedValues.Add(new LookupParameter<DataTable>("Population pruning"));
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283 | resultsCollector.ResultsParameter.ActualName = ResultsParameterName;
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284 | }
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285 | }
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286 | }
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