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1 | using System;
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2 | using HeuristicLab.Common;
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3 | using HeuristicLab.Core;
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4 | using HeuristicLab.Encodings.SymbolicExpressionTreeEncoding;
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5 | using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
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6 |
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7 | namespace HeuristicLab.Problems.DataAnalysis.Symbolic.Regression {
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8 | [Item("SymbolicRegressionPruningAnalyzer", "An analyzer that prunes introns from the population.")]
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9 | [StorableClass]
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10 | public sealed class SymbolicRegressionPruningAnalyzer : SymbolicDataAnalysisSingleObjectivePruningAnalyzer {
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11 | private SymbolicRegressionPruningAnalyzer(SymbolicRegressionPruningAnalyzer original, Cloner cloner)
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12 | : base(original, cloner) {
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13 | }
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14 | public override IDeepCloneable Clone(Cloner cloner) {
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15 | return new SymbolicRegressionPruningAnalyzer(this, cloner);
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16 | }
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17 |
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18 | [StorableConstructor]
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19 | private SymbolicRegressionPruningAnalyzer(bool deserializing) : base(deserializing) { }
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20 |
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21 | public SymbolicRegressionPruningAnalyzer() {
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22 | impactValuesCalculator = new SymbolicRegressionSolutionImpactValuesCalculator();
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23 | }
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24 |
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25 | protected override ISymbolicDataAnalysisModel CreateModel(ISymbolicExpressionTree tree,
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26 | ISymbolicDataAnalysisExpressionTreeInterpreter interpreter, double lowerEstimationLimit = Double.MinValue,
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27 | double upperEstimationLimit = Double.MaxValue) {
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28 | return new SymbolicRegressionModel(tree, interpreter, lowerEstimationLimit, upperEstimationLimit);
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29 | }
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30 | }
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31 | }
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