Changeset 11310 for branches/DataAnalysis.ComplexityAnalyzer/HeuristicLab.Problems.DataAnalysis.Symbolic.Regression/3.4/MultiObjective/SymbolicRegressionMultiObjectivePearsonRSquaredTreeSizeEvaluator.cs
- Timestamp:
- 08/27/14 10:29:38 (10 years ago)
- Location:
- branches/DataAnalysis.ComplexityAnalyzer/HeuristicLab.Problems.DataAnalysis.Symbolic.Regression
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- 3 edited
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branches/DataAnalysis.ComplexityAnalyzer/HeuristicLab.Problems.DataAnalysis.Symbolic.Regression
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branches/DataAnalysis.ComplexityAnalyzer/HeuristicLab.Problems.DataAnalysis.Symbolic.Regression/3.4
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/branches/HLScript/HeuristicLab.Problems.DataAnalysis.Symbolic.Regression merged eligible /stable/HeuristicLab.Problems.DataAnalysis.Symbolic.Regression merged eligible /trunk/sources/HeuristicLab.Problems.DataAnalysis.Symbolic.Regression/3.4 merged eligible /branches/Benchmarking/sources/HeuristicLab.Problems.DataAnalysis.Symbolic.Regression 6917-7005 /branches/CloningRefactoring/HeuristicLab.Problems.DataAnalysis.Symbolic.Regression 4656-4721 /branches/DataAnalysis Refactoring/HeuristicLab.Problems.DataAnalysis.Symbolic.Regression 5471-5473 /branches/DataAnalysis SolutionEnsembles/HeuristicLab.Problems.DataAnalysis.Symbolic.Regression 5815-6180 /branches/DataAnalysis/HeuristicLab.Problems.DataAnalysis.Symbolic.Regression 4458-4459,4462,4464 /branches/DataPreprocessing/HeuristicLab.Problems.DataAnalysis.Symbolic.Regression 10085-11101 /branches/GP.Grammar.Editor/HeuristicLab.Problems.DataAnalysis.Symbolic.Regression 6284-6795 /branches/GP.Symbols (TimeLag, Diff, Integral)/HeuristicLab.Problems.DataAnalysis.Symbolic.Regression 5060 /branches/HeuristicLab.TreeSimplifier/HeuristicLab.Problems.DataAnalysis.Symbolic.Regression 8388-8942 /branches/LogResidualEvaluator/HeuristicLab.Problems.DataAnalysis.Symbolic.Regression 10202-10483 /branches/NET40/sources/HeuristicLab.Problems.DataAnalysis.Symbolic.Regression 5138-5162 /branches/ParallelEngine/HeuristicLab.Problems.DataAnalysis.Symbolic.Regression 5175-5192 /branches/ProblemInstancesRegressionAndClassification/HeuristicLab.Problems.DataAnalysis.Symbolic.Regression 7748-7810 /branches/QAPAlgorithms/HeuristicLab.Problems.DataAnalysis.Symbolic.Regression 6350-6627 /branches/Restructure trunk solution/HeuristicLab.Problems.DataAnalysis.Symbolic.Regression 6828 /branches/SpectralKernelForGaussianProcesses/HeuristicLab.Problems.DataAnalysis.Symbolic.Regression 10204-10479 /branches/SuccessProgressAnalysis/HeuristicLab.Problems.DataAnalysis.Symbolic.Regression 5370-5682 /branches/Trunk/HeuristicLab.Problems.DataAnalysis.Symbolic.Regression 6829-6865 /branches/VNS/HeuristicLab.Problems.DataAnalysis.Symbolic.Regression 5594-5752 /branches/histogram/HeuristicLab.Problems.DataAnalysis.Symbolic.Regression 5959-6341
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branches/DataAnalysis.ComplexityAnalyzer/HeuristicLab.Problems.DataAnalysis.Symbolic.Regression/3.4/MultiObjective/SymbolicRegressionMultiObjectivePearsonRSquaredTreeSizeEvaluator.cs
r10291 r11310 1 1 #region License Information 2 2 /* HeuristicLab 3 * Copyright (C) 2002-201 3Heuristic and Evolutionary Algorithms Laboratory (HEAL)3 * Copyright (C) 2002-2014 Heuristic and Evolutionary Algorithms Laboratory (HEAL) 4 4 * 5 5 * This file is part of HeuristicLab. … … 53 53 54 54 public static double[] Calculate(ISymbolicDataAnalysisExpressionTreeInterpreter interpreter, ISymbolicExpressionTree solution, double lowerEstimationLimit, double upperEstimationLimit, IRegressionProblemData problemData, IEnumerable<int> rows, bool applyLinearScaling) { 55 IEnumerable<double> estimatedValues = interpreter.GetSymbolicExpressionTreeValues(solution, problemData.Dataset, rows); 56 IEnumerable<double> targetValues = problemData.Dataset.GetDoubleValues(problemData.TargetVariable, rows); 57 OnlineCalculatorError errorState; 58 59 double r2; 60 if (applyLinearScaling) { 61 var r2Calculator = new OnlinePearsonsRSquaredCalculator(); 62 CalculateWithScaling(targetValues, estimatedValues, lowerEstimationLimit, upperEstimationLimit, r2Calculator, problemData.Dataset.Rows); 63 errorState = r2Calculator.ErrorState; 64 r2 = r2Calculator.RSquared; 65 } else { 66 IEnumerable<double> boundedEstimatedValues = estimatedValues.LimitToRange(lowerEstimationLimit, upperEstimationLimit); 67 r2 = OnlinePearsonsRSquaredCalculator.Calculate(targetValues, boundedEstimatedValues, out errorState); 68 } 69 70 if (errorState != OnlineCalculatorError.None) r2 = double.NaN; 55 double r2 = SymbolicRegressionSingleObjectivePearsonRSquaredEvaluator.Calculate(interpreter, solution, lowerEstimationLimit, upperEstimationLimit, problemData, rows, applyLinearScaling); 71 56 return new double[2] { r2, solution.Length }; 72 57 }
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