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Timestamp:
09/17/12 11:18:40 (10 years ago)
Author:
mkommend
Message:

#1951:

  • Added linear scaling parameter to data analysis problems.
  • Adapted interfaces, evaluators and analyzers accordingly.
  • Added OnlineBoundedMeanSquaredErrorCalculator.
  • Adapted symbolic regression sample unit test.
File:
1 edited

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  • trunk/sources/HeuristicLab.Problems.DataAnalysis.Symbolic.Classification/3.4/SingleObjective/SymbolicClassificationSingleObjectivePearsonRSquaredEvaluator.cs

    r8646 r8664  
    4747      IEnumerable<int> rows = GenerateRowsToEvaluate();
    4848      var solution = SymbolicExpressionTreeParameter.ActualValue;
    49       double quality = Calculate(SymbolicDataAnalysisTreeInterpreterParameter.ActualValue, solution, EstimationLimitsParameter.ActualValue.Lower, EstimationLimitsParameter.ActualValue.Upper, ProblemDataParameter.ActualValue, rows);
     49      double quality = Calculate(SymbolicDataAnalysisTreeInterpreterParameter.ActualValue, solution, EstimationLimitsParameter.ActualValue.Lower, EstimationLimitsParameter.ActualValue.Upper, ProblemDataParameter.ActualValue, rows, ApplyLinearScalingParameter.ActualValue.Value);
    5050      QualityParameter.ActualValue = new DoubleValue(quality);
    5151      return base.Apply();
    5252    }
    5353
    54     public static double Calculate(ISymbolicDataAnalysisExpressionTreeInterpreter interpreter, ISymbolicExpressionTree solution, double lowerEstimationLimit, double upperEstimationLimit, IClassificationProblemData problemData, IEnumerable<int> rows) {
     54    public static double Calculate(ISymbolicDataAnalysisExpressionTreeInterpreter interpreter, ISymbolicExpressionTree solution, double lowerEstimationLimit, double upperEstimationLimit, IClassificationProblemData problemData, IEnumerable<int> rows, bool applyLinearScaling) {
    5555      IEnumerable<double> estimatedValues = interpreter.GetSymbolicExpressionTreeValues(solution, problemData.Dataset, rows);
    56       IEnumerable<double> originalValues = problemData.Dataset.GetDoubleValues(problemData.TargetVariable, rows);
    57       IEnumerable<double> boundedEstimationValues = estimatedValues.LimitToRange(lowerEstimationLimit, upperEstimationLimit);
     56      IEnumerable<double> targetValues = problemData.Dataset.GetDoubleValues(problemData.TargetVariable, rows);
    5857      OnlineCalculatorError errorState;
    59       double r2 = OnlinePearsonsRSquaredCalculator.Calculate(boundedEstimationValues, originalValues, out errorState);
    60       if (errorState != OnlineCalculatorError.None) return 0.0;
    61       else return r2;
     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      if (errorState != OnlineCalculatorError.None) return double.NaN;
     70      return r2;
    6271    }
    6372
     
    6574      SymbolicDataAnalysisTreeInterpreterParameter.ExecutionContext = context;
    6675      EstimationLimitsParameter.ExecutionContext = context;
     76      ApplyLinearScalingParameter.ExecutionContext = context;
    6777
    68       double r2 = Calculate(SymbolicDataAnalysisTreeInterpreterParameter.ActualValue, tree, EstimationLimitsParameter.ActualValue.Lower, EstimationLimitsParameter.ActualValue.Upper, problemData, rows);
     78      double r2 = Calculate(SymbolicDataAnalysisTreeInterpreterParameter.ActualValue, tree, EstimationLimitsParameter.ActualValue.Lower, EstimationLimitsParameter.ActualValue.Upper, problemData, rows, ApplyLinearScalingParameter.ActualValue.Value);
    6979
    7080      SymbolicDataAnalysisTreeInterpreterParameter.ExecutionContext = null;
    7181      EstimationLimitsParameter.ExecutionContext = null;
     82      ApplyLinearScalingParameter.ExecutionContext = null;
    7283
    7384      return r2;
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