[9963] | 1 | using System.Linq;
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| 2 | using HeuristicLab.Analysis;
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| 3 | using HeuristicLab.Common;
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| 4 | using HeuristicLab.Core;
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| 5 | using HeuristicLab.Data;
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| 6 | using HeuristicLab.Encodings.SymbolicExpressionTreeEncoding;
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| 7 | using HeuristicLab.Operators;
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| 8 | using HeuristicLab.Optimization;
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| 9 | using HeuristicLab.Parameters;
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| 10 | using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
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| 11 | using HeuristicLab.Problems.DataAnalysis;
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| 12 | using HeuristicLab.Problems.DataAnalysis.Symbolic;
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| 13 | using HeuristicLab.Problems.DataAnalysis.Symbolic.Regression;
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| 14 |
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| 15 | namespace HeuristicLab.EvolutionaryTracking {
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| 16 | [Item("SymbolicExpressionTreePruningAnalyzer", "An analyzer that identifies introns in the population and optionally removes them.")]
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| 17 | [StorableClass]
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| 18 | public sealed class SymbolicExpressionTreePruningAnalyzer : SingleSuccessorOperator, IAnalyzer {
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| 19 | private const string SymbolicExpressionTreeParameterName = "SymbolicExpressionTree";
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| 20 | private const string SymbolicExpressionTreeQualityParameterName = "Quality";
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| 21 | private const string UpdateIntervalParameterName = "UpdateInterval";
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| 22 | private const string UpdateCounterParameterName = "UpdateCounter";
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| 23 | private const string MatchVariablesParameterName = "MatchVariableNames";
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| 24 | private const string MatchVariableWeightsParameterName = "MatchVariableWeights";
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| 25 | private const string MatchConstantValuesParameterName = "MatchConstantValues";
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| 26 | private const string ResultsParameterName = "Results";
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| 27 | private const string SymbolicExpressionInterpreterParameterName = "SymbolicExpressionTreeInterpreter";
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| 28 | private const string SymbolicRegressionProblemDataParameterName = "ProblemData";
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| 29 | private const string FrequencyThresholdParameterName = "FrequencyThreshold";
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| 30 | private const string IgnoreSubtreeFrequenciesParameterName = "IgnoreFrequencies";
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| 31 |
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| 32 | [Storable]
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| 33 | private SymbolicRegressionSolutionImpactValuesCalculator calculator;
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| 34 | [Storable]
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| 35 | private SymbolicExpressionTreeNodeSimilarityComparer comparer;
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| 36 |
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| 37 | #region Parameters
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| 38 | public ValueParameter<IntValue> UpdateIntervalParameter {
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| 39 | get { return (ValueParameter<IntValue>)Parameters[UpdateIntervalParameterName]; }
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| 40 | }
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| 41 | public ValueParameter<IntValue> UpdateCounterParameter {
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| 42 | get { return (ValueParameter<IntValue>)Parameters[UpdateCounterParameterName]; }
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| 43 | }
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| 44 | public ValueParameter<BoolValue> MatchVariableNamesParameter {
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| 45 | get { return (ValueParameter<BoolValue>)Parameters[MatchVariablesParameterName]; }
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| 46 | }
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| 47 | public ValueParameter<BoolValue> MatchVariableWeightsParameter {
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| 48 | get { return (ValueParameter<BoolValue>)Parameters[MatchVariableWeightsParameterName]; }
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| 49 | }
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| 50 | public ValueParameter<BoolValue> MatchConstantValuesParameter {
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| 51 | get { return (ValueParameter<BoolValue>)Parameters[MatchConstantValuesParameterName]; }
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| 52 | }
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| 53 | public IScopeTreeLookupParameter<ISymbolicExpressionTree> SymbolicExpressionTreeParameter {
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| 54 | get { return (IScopeTreeLookupParameter<ISymbolicExpressionTree>)Parameters[SymbolicExpressionTreeParameterName]; }
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| 55 | }
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| 56 | public IScopeTreeLookupParameter<DoubleValue> SymbolicExpressionTreeQualityParameter {
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| 57 | get { return (IScopeTreeLookupParameter<DoubleValue>)Parameters[SymbolicExpressionTreeQualityParameterName]; }
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| 58 | }
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| 59 | public LookupParameter<ResultCollection> ResultsParameter {
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| 60 | get { return (LookupParameter<ResultCollection>)Parameters[ResultsParameterName]; }
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| 61 | }
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| 62 | public ILookupParameter<SymbolicDataAnalysisExpressionTreeInterpreter> SymbolicExpressionTreeInterpreterParameter {
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| 63 | get { return (ILookupParameter<SymbolicDataAnalysisExpressionTreeInterpreter>)Parameters[SymbolicExpressionInterpreterParameterName]; }
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| 64 | }
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| 65 | public ILookupParameter<RegressionProblemData> SymbolicRegressionProblemDataParameter {
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| 66 | get { return (ILookupParameter<RegressionProblemData>)Parameters[SymbolicRegressionProblemDataParameterName]; }
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| 67 | }
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| 68 | public ValueParameter<DoubleValue> FrequencyThresholdParameter {
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| 69 | get { return (ValueParameter<DoubleValue>)Parameters[FrequencyThresholdParameterName]; }
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| 70 | }
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| 71 | public ValueParameter<BoolValue> IgnoreSubtreeFrequenciesParameter {
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| 72 | get { return (ValueParameter<BoolValue>)Parameters[IgnoreSubtreeFrequenciesParameterName]; }
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| 73 | }
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| 74 | #endregion
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| 75 |
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| 76 | #region Parameter properties
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| 77 | public bool MatchValues {
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| 78 | get { return MatchConstantValuesParameter.Value.Value; }
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| 79 | }
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| 80 | public bool MatchWeights {
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| 81 | get { return MatchVariableWeightsParameter.Value.Value; }
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| 82 | }
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| 83 | public bool MatchVariables {
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| 84 | get { return MatchVariableNamesParameter.Value.Value; }
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| 85 | }
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| 86 | public IntValue UpdateCounter {
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| 87 | get { return UpdateCounterParameter.Value; }
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| 88 | }
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| 89 | public IntValue UpdateInterval {
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| 90 | get { return UpdateIntervalParameter.Value; }
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| 91 | }
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| 92 | public ResultCollection Results {
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| 93 | get { return ResultsParameter.ActualValue; }
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| 94 | }
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| 95 | public SymbolicDataAnalysisExpressionTreeInterpreter SymbolicExpressionTreeInterpreter {
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| 96 | get { return SymbolicExpressionTreeInterpreterParameter.ActualValue; }
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| 97 | }
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| 98 | public RegressionProblemData ProblemData {
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| 99 | get { return SymbolicRegressionProblemDataParameter.ActualValue; }
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| 100 | }
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| 101 | public DoubleValue FrequencyThreshold {
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| 102 | get { return FrequencyThresholdParameter.Value; }
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| 103 | }
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| 104 | public bool IgnoreSubtreesFrequencies {
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| 105 | get { return IgnoreSubtreeFrequenciesParameter.Value.Value; }
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| 106 | }
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| 107 | #endregion
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| 108 |
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| 109 | [StorableConstructor]
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| 110 | private SymbolicExpressionTreePruningAnalyzer(bool deserializing) : base(deserializing) { }
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| 111 | private SymbolicExpressionTreePruningAnalyzer(SymbolicExpressionTreePruningAnalyzer original, Cloner cloner)
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| 112 | : base(original, cloner) {
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| 113 | calculator = original.calculator;
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| 114 | comparer = original.comparer;
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| 115 | }
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| 116 | public override IDeepCloneable Clone(Cloner cloner) {
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| 117 | return new SymbolicExpressionTreePruningAnalyzer(this, cloner);
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| 118 | }
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| 119 |
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| 120 | public SymbolicExpressionTreePruningAnalyzer() {
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| 121 | Parameters.Add(new ScopeTreeLookupParameter<ISymbolicExpressionTree>(SymbolicExpressionTreeParameterName, "The symbolic expression trees to analyze."));
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| 122 | Parameters.Add(new ScopeTreeLookupParameter<DoubleValue>(SymbolicExpressionTreeQualityParameterName, "The qualities of the symbolic expression trees"));
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| 123 | Parameters.Add(new ValueParameter<IntValue>(UpdateIntervalParameterName, "The interval in which the tree length analysis should be applied.", new IntValue(1)));
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| 124 | Parameters.Add(new ValueParameter<IntValue>(UpdateCounterParameterName, "The value which counts how many times the operator was called since the last update", new IntValue(0)));
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| 125 | Parameters.Add(new ValueParameter<BoolValue>(MatchVariablesParameterName, "Specify if the symbolic expression tree comparer should match variable names.", new BoolValue(true)));
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| 126 | Parameters.Add(new ValueParameter<BoolValue>(MatchVariableWeightsParameterName, "Specify if the symbolic expression tree comparer should match variable weights.", new BoolValue(true)));
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| 127 | Parameters.Add(new ValueParameter<BoolValue>(MatchConstantValuesParameterName, "Specify if the symbolic expression tree comparer should match constant values.", new BoolValue(true)));
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| 128 | Parameters.Add(new LookupParameter<SymbolicDataAnalysisExpressionTreeInterpreter>(SymbolicExpressionInterpreterParameterName, "Interpreter for symbolic expression trees"));
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| 129 | Parameters.Add(new LookupParameter<RegressionProblemData>(SymbolicRegressionProblemDataParameterName, "The symbolic data analysis problem."));
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| 130 | Parameters.Add(new ValueLookupParameter<ResultCollection>(ResultsParameterName, "The results collection where the analysis values should be stored."));
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| 131 | Parameters.Add(new ValueParameter<DoubleValue>(FrequencyThresholdParameterName, "The frequency threshold a fragment has to exceed before being removed."));
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| 132 | Parameters.Add(new ValueParameter<BoolValue>(IgnoreSubtreeFrequenciesParameterName, "Specifies whether or not subtree frequencies should be taken into account."));
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| 133 |
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| 134 | calculator = new SymbolicRegressionSolutionImpactValuesCalculator();
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| 135 | comparer = new SymbolicExpressionTreeNodeSimilarityComparer { MatchConstantValues = MatchValues, MatchVariableWeights = MatchWeights, MatchVariableNames = MatchVariables };
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| 136 |
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| 137 | UpdateCounterParameter.Hidden = true;
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| 138 | UpdateIntervalParameter.Hidden = true;
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| 139 | }
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| 140 |
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| 141 | public override IOperation Apply() {
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| 142 | UpdateCounter.Value++;
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| 143 | if (UpdateCounter.Value != UpdateInterval.Value) return base.Apply();
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| 144 | UpdateCounter.Value = 0;
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| 145 |
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| 146 | //var prunedSubtrees = new IntValue(0);
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| 147 | int prunedNodes = 0;
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| 148 | int prunedTrees = 0;
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| 149 | DataTable prunedSubtreesTable;
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| 150 | if (Results.ContainsKey("Pruning")) {
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| 151 | prunedSubtreesTable = (DataTable)Results["Pruning"].Value;
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| 152 | } else {
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| 153 | prunedSubtreesTable = new DataTable("Pruning");
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| 154 | var prunedNodesRow = new DataRow("Pruned Nodes") { VisualProperties = { StartIndexZero = true } };
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| 155 | var prunedTreesRow = new DataRow("Pruned Trees") { VisualProperties = { StartIndexZero = true } };
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| 156 | prunedSubtreesTable.Rows.Add(prunedNodesRow);
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| 157 | prunedSubtreesTable.Rows.Add(prunedTreesRow);
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| 158 | Results.Add(new Result("Pruning", prunedSubtreesTable));
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| 159 | }
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| 160 |
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| 161 | var trees = SymbolicExpressionTreeParameter.ActualValue.ToList();
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| 162 | var qualities = SymbolicExpressionTreeQualityParameter.ActualValue.ToList();
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| 163 | var prunedTreesMap = new bool[trees.Count];
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| 164 |
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| 165 | for (int i = 0; i != trees.Count; ++i) {
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| 166 | var model = new SymbolicRegressionModel(trees[i], SymbolicExpressionTreeInterpreter);
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| 167 | var root = trees[i].Root.GetSubtree(0).GetSubtree(0); // skip the program root symbol and the start symbol
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| 168 | var nodes = root.IterateNodesPrefix().Select((node, index) => new { Node = node, Index = index }).ToList();
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| 169 | for (int j = 0; j < nodes.Count; ++j) {
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| 170 | var n = nodes[j];
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| 171 | if (n.Node is ConstantTreeNode) continue;
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| 172 | double impact = calculator.CalculateImpactValue(model, n.Node, ProblemData, ProblemData.TrainingIndices, qualities[i].Value);
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| 173 |
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| 174 | //if (impact.IsAlmost(0.0)) {
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| 175 | if (impact < 0.001) {
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| 176 | bool prune = true;
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| 177 | if (!IgnoreSubtreesFrequencies) {
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| 178 | double frequency = (double)trees.Count(t => t.Root.ContainsFragment(new Fragment { Root = n.Node, Index = n.Index }, comparer)) / trees.Count;
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| 179 | // remove node if its frequency is above the threshold
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| 180 | if (frequency < FrequencyThreshold.Value) { prune = false; }
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| 181 | }
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| 182 | if (!prune) continue;
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| 183 | var parent = n.Node.Parent;
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| 184 | if (parent != null && !(parent.Symbol is StartSymbol)) {
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| 185 | double replacementValue = calculator.CalculateReplacementValue(model, n.Node, ProblemData, ProblemData.TrainingIndices);
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| 186 | var constantNode = new ConstantTreeNode(new Constant()) { Value = replacementValue };
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| 187 | var index = parent.IndexOfSubtree(n.Node);
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| 188 | parent.RemoveSubtree(index);
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| 189 | parent.InsertSubtree(index, constantNode);
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| 190 | // skip the removed subtree
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| 191 | int length = n.Node.GetLength();
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| 192 | j += length;
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| 193 |
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| 194 | if (!prunedTreesMap[i]) {
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| 195 | prunedTrees++;
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| 196 | prunedTreesMap[i] = true;
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| 197 | }
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| 198 | prunedNodes += (length - 1);
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| 199 | }
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| 200 | }
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| 201 | }
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| 202 | }
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| 203 |
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| 204 | prunedSubtreesTable.Rows["Pruned Nodes"].Values.Add(prunedNodes);
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| 205 | prunedSubtreesTable.Rows["Pruned Trees"].Values.Add(prunedTrees);
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| 206 |
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| 207 | return base.Apply();
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| 208 | }
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| 209 |
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| 210 | public bool EnabledByDefault { get { return true; } }
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| 211 |
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| 212 | }
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| 213 | }
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