1 | #region License Information
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2 | /* HeuristicLab
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3 | * Copyright (C) 2002-2016 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
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4 | *
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5 | * This file is part of HeuristicLab.
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6 | *
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7 | * HeuristicLab is free software: you can redistribute it and/or modify
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8 | * it under the terms of the GNU General Public License as published by
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9 | * the Free Software Foundation, either version 3 of the License, or
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10 | * (at your option) any later version.
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11 | *
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12 | * HeuristicLab is distributed in the hope that it will be useful,
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13 | * but WITHOUT ANY WARRANTY; without even the implied warranty of
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14 | * MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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15 | * GNU General Public License for more details.
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16 | *
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17 | * You should have received a copy of the GNU General Public License
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18 | * along with HeuristicLab. If not, see <http://www.gnu.org/licenses/>.
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19 | */
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20 | #endregion
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21 |
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22 | using System;
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23 | using System.Collections.Generic;
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24 | using System.Linq;
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25 | using HeuristicLab.Analysis;
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26 | using HeuristicLab.Common;
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27 | using HeuristicLab.Core;
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28 | using HeuristicLab.Data;
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29 | using HeuristicLab.Operators;
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30 | using HeuristicLab.Optimization;
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31 | using HeuristicLab.Parameters;
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32 | using HeuristicLab.Persistence;
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33 |
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34 | namespace HeuristicLab.Encodings.SymbolicExpressionTreeEncoding {
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35 | /// <summary>
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36 | /// An operator that tracks the frequencies of distinct symbols in symbolic expression trees.
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37 | /// </summary>
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38 | [Item("SymbolicExpressionSymbolFrequencyAnalyzer", "An operator that tracks frequencies of symbols in symbolic expression trees.")]
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39 | [StorableType("0dd119a5-1947-4b31-8950-0ac4b6c89da6")]
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40 | public class SymbolicExpressionSymbolFrequencyAnalyzer : SingleSuccessorOperator, ISymbolicExpressionTreeAnalyzer {
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41 | private const string SymbolicExpressionTreeParameterName = "SymbolicExpressionTree";
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42 | private const string ResultsParameterName = "Results";
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43 | private const string SymbolFrequenciesParameterName = "SymbolFrequencies";
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44 | private const string AggregateSymbolsWithDifferentSubtreeCountParameterName = "AggregateSymbolsWithDifferentSubtreeCount";
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45 |
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46 | #region parameter properties
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47 | public IScopeTreeLookupParameter<ISymbolicExpressionTree> SymbolicExpressionTreeParameter {
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48 | get { return (IScopeTreeLookupParameter<ISymbolicExpressionTree>)Parameters[SymbolicExpressionTreeParameterName]; }
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49 | }
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50 | public ILookupParameter<DataTable> SymbolFrequenciesParameter {
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51 | get { return (ILookupParameter<DataTable>)Parameters[SymbolFrequenciesParameterName]; }
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52 | }
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53 | public ILookupParameter<ResultCollection> ResultsParameter {
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54 | get { return (ILookupParameter<ResultCollection>)Parameters[ResultsParameterName]; }
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55 | }
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56 | public IValueParameter<BoolValue> AggregateSymbolsWithDifferentSubtreeCountParameter {
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57 | get { return (IValueParameter<BoolValue>)Parameters[AggregateSymbolsWithDifferentSubtreeCountParameterName]; }
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58 | }
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59 | #endregion
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60 | #region properties
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61 | public virtual bool EnabledByDefault {
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62 | get { return true; }
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63 | }
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64 | public BoolValue AggregrateSymbolsWithDifferentSubtreeCount {
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65 | get { return AggregateSymbolsWithDifferentSubtreeCountParameter.Value; }
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66 | set { AggregateSymbolsWithDifferentSubtreeCountParameter.Value = value; }
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67 | }
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68 | #endregion
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69 |
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70 | [StorableConstructor]
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71 | protected SymbolicExpressionSymbolFrequencyAnalyzer(StorableConstructorFlag deserializing) : base(deserializing) { }
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72 | protected SymbolicExpressionSymbolFrequencyAnalyzer(SymbolicExpressionSymbolFrequencyAnalyzer original, Cloner cloner) : base(original, cloner) { }
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73 | public SymbolicExpressionSymbolFrequencyAnalyzer()
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74 | : base() {
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75 | Parameters.Add(new ScopeTreeLookupParameter<ISymbolicExpressionTree>(SymbolicExpressionTreeParameterName, "The symbolic expression trees to analyze."));
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76 | Parameters.Add(new LookupParameter<DataTable>(SymbolFrequenciesParameterName, "The data table to store the symbol frequencies."));
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77 | Parameters.Add(new LookupParameter<ResultCollection>(ResultsParameterName, "The result collection where the symbol frequencies should be stored."));
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78 | Parameters.Add(new ValueParameter<BoolValue>(AggregateSymbolsWithDifferentSubtreeCountParameterName, "Flag that indicates if the frequencies of symbols with the same name but different number of sub-trees should be aggregated.", new BoolValue(true)));
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79 | }
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80 | public override IDeepCloneable Clone(Cloner cloner) {
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81 | return new SymbolicExpressionSymbolFrequencyAnalyzer(this, cloner);
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82 | }
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83 |
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84 | [StorableHook(HookType.AfterDeserialization)]
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85 | private void AfterDeserialization() {
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86 | #region remove with HL 3.4
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87 | if (!Parameters.ContainsKey(AggregateSymbolsWithDifferentSubtreeCountParameterName))
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88 | Parameters.Add(new ValueParameter<BoolValue>(AggregateSymbolsWithDifferentSubtreeCountParameterName, "Flag that indicates if the frequencies of symbols with the same name but different number of sub-trees should be aggregated.", new BoolValue(true)));
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89 | #endregion
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90 | }
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91 |
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92 | public override IOperation Apply() {
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93 | ItemArray<ISymbolicExpressionTree> expressions = SymbolicExpressionTreeParameter.ActualValue;
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94 | ResultCollection results = ResultsParameter.ActualValue;
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95 | DataTable symbolFrequencies = SymbolFrequenciesParameter.ActualValue;
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96 | if (symbolFrequencies == null) {
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97 | symbolFrequencies = new DataTable("Symbol frequencies", "Relative frequency of symbols aggregated over the whole population.");
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98 | symbolFrequencies.VisualProperties.YAxisTitle = "Relative Symbol Frequency";
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99 |
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100 | SymbolFrequenciesParameter.ActualValue = symbolFrequencies;
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101 | results.Add(new Result("Symbol frequencies", symbolFrequencies));
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102 | }
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103 |
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104 | // all rows must have the same number of values so we can just take the first
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105 | int numberOfValues = symbolFrequencies.Rows.Select(r => r.Values.Count).DefaultIfEmpty().First();
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106 |
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107 | foreach (var pair in SymbolicExpressionSymbolFrequencyAnalyzer.CalculateSymbolFrequencies(expressions, AggregrateSymbolsWithDifferentSubtreeCount.Value)) {
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108 | if (!symbolFrequencies.Rows.ContainsKey(pair.Key)) {
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109 | // initialize a new row for the symbol and pad with zeros
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110 | DataRow row = new DataRow(pair.Key, "", Enumerable.Repeat(0.0, numberOfValues));
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111 | row.VisualProperties.StartIndexZero = true;
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112 | symbolFrequencies.Rows.Add(row);
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113 | }
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114 | symbolFrequencies.Rows[pair.Key].Values.Add(Math.Round(pair.Value, 3));
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115 | }
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116 |
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117 | // add a zero for each data row that was not modified in the previous loop
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118 | foreach (var row in symbolFrequencies.Rows.Where(r => r.Values.Count != numberOfValues + 1))
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119 | row.Values.Add(0.0);
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120 |
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121 | return base.Apply();
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122 | }
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123 |
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124 | public static IEnumerable<KeyValuePair<string, double>> CalculateSymbolFrequencies(IEnumerable<ISymbolicExpressionTree> trees, bool aggregateDifferentNumberOfSubtrees = true) {
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125 | Dictionary<string, double> symbolFrequencies = new Dictionary<string, double>();
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126 | int totalNumberOfSymbols = 0;
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127 |
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128 | foreach (var tree in trees) {
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129 | foreach (var node in tree.IterateNodesPrefix()) {
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130 | string symbolName;
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131 | if (aggregateDifferentNumberOfSubtrees) symbolName = node.Symbol.Name;
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132 | else symbolName = node.Symbol.Name + "-" + node.SubtreeCount;
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133 | if (symbolFrequencies.ContainsKey(symbolName)) symbolFrequencies[symbolName] += 1;
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134 | else symbolFrequencies.Add(symbolName, 1);
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135 | totalNumberOfSymbols++;
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136 | }
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137 | }
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138 |
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139 | foreach (var pair in symbolFrequencies)
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140 | yield return new KeyValuePair<string, double>(pair.Key, pair.Value / totalNumberOfSymbols);
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141 | }
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142 | }
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143 | }
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