1 | using System.Collections.Generic;
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2 | using HeuristicLab.Common;
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3 | using HeuristicLab.Core;
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4 | using HeuristicLab.Data;
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5 | using HeuristicLab.Encodings.SymbolicExpressionTreeEncoding;
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6 | using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
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7 |
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8 | namespace HeuristicLab.Problems.DataAnalysis.Symbolic.Classification {
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9 | [Item("Pearson R² & Tree size Evaluator", "Calculates the Pearson R² and the tree size of a symbolic classification solution.")]
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10 | [StorableClass]
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11 | public class SymbolicClassificationMultiObjectivePearsonRSquaredTreeSizeEvaluator : SymbolicClassificationMultiObjectiveEvaluator {
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12 | [StorableConstructor]
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13 | protected SymbolicClassificationMultiObjectivePearsonRSquaredTreeSizeEvaluator(bool deserializing) : base(deserializing) { }
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14 | protected SymbolicClassificationMultiObjectivePearsonRSquaredTreeSizeEvaluator(SymbolicClassificationMultiObjectivePearsonRSquaredTreeSizeEvaluator original, Cloner cloner)
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15 | : base(original, cloner) {
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16 | }
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17 | public override IDeepCloneable Clone(Cloner cloner) {
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18 | return new SymbolicClassificationMultiObjectivePearsonRSquaredTreeSizeEvaluator(this, cloner);
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19 | }
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20 |
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21 | public SymbolicClassificationMultiObjectivePearsonRSquaredTreeSizeEvaluator() : base() { }
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22 |
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23 | public override IEnumerable<bool> Maximization { get { return new bool[2] { true, false }; } }
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24 |
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25 | public override IOperation Apply() {
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26 | IEnumerable<int> rows = GenerateRowsToEvaluate();
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27 | double[] qualities = Calculate(SymbolicDataAnalysisTreeInterpreterParameter.ActualValue, SymbolicExpressionTreeParameter.ActualValue, LowerEstimationLimit.Value, UpperEstimationLimit.Value, ProblemData, rows);
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28 | QualitiesParameter.ActualValue = new DoubleArray(qualities);
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29 | return base.Apply();
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30 | }
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31 |
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32 | public static double[] Calculate(ISymbolicDataAnalysisTreeInterpreter interpreter, ISymbolicExpressionTree solution, double lowerEstimationLimit, double upperEstimationLimit, IClassificationProblemData problemData, IEnumerable<int> rows) {
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33 | IEnumerable<double> estimatedValues = interpreter.GetSymbolicExpressionTreeValues(solution, problemData.Dataset, rows);
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34 | IEnumerable<double> originalValues = problemData.Dataset.GetEnumeratedVariableValues(problemData.TargetVariable, rows);
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35 | double r2 = OnlinePearsonsRSquaredEvaluator.Calculate(originalValues, estimatedValues);
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36 | return new double[2] { r2, solution.Length };
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37 | }
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38 |
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39 | public override double[] Evaluate(IExecutionContext context, ISymbolicExpressionTree tree, IClassificationProblemData problemData, IEnumerable<int> rows) {
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40 | return Calculate(SymbolicDataAnalysisTreeInterpreter, tree, LowerEstimationLimit.Value, UpperEstimationLimit.Value, problemData, rows);
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41 | }
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42 | }
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43 | }
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