[5505] | 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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[5618] | 8 | namespace HeuristicLab.Problems.DataAnalysis.Symbolic.Classification {
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[5505] | 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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[5514] | 23 | public override IEnumerable<bool> Maximization { get { return new bool[2] { true, false }; } }
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| 24 |
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[5505] | 25 | public override IOperation Apply() {
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| 26 | IEnumerable<int> rows = GenerateRowsToEvaluate();
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[5514] | 27 | double[] qualities = Calculate(SymbolicDataAnalysisTreeInterpreterParameter.ActualValue, SymbolicExpressionTreeParameter.ActualValue, LowerEstimationLimit.Value, UpperEstimationLimit.Value, ProblemData, rows);
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[5505] | 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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[5551] | 35 | double r2 = OnlinePearsonsRSquaredEvaluator.Calculate(originalValues, estimatedValues);
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[5549] | 36 | return new double[2] { r2, solution.Length };
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[5505] | 37 | }
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[5613] | 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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[5505] | 42 | }
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| 43 | }
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