Changeset 6784 for branches/GP.Grammar.Editor/HeuristicLab.Problems.DataAnalysis.Symbolic.Classification/3.4/MultiObjective
- Timestamp:
- 09/16/11 12:00:36 (13 years ago)
- Location:
- branches/GP.Grammar.Editor/HeuristicLab.Problems.DataAnalysis.Symbolic.Classification/3.4/MultiObjective
- Files:
-
- 3 edited
Legend:
- Unmodified
- Added
- Removed
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branches/GP.Grammar.Editor/HeuristicLab.Problems.DataAnalysis.Symbolic.Classification/3.4/MultiObjective/SymbolicClassificationMultiObjectiveMeanSquaredErrorTreeSizeEvaluator.cs
r5942 r6784 54 54 public static double[] Calculate(ISymbolicDataAnalysisExpressionTreeInterpreter interpreter, ISymbolicExpressionTree solution, double lowerEstimationLimit, double upperEstimationLimit, IClassificationProblemData problemData, IEnumerable<int> rows) { 55 55 IEnumerable<double> estimatedValues = interpreter.GetSymbolicExpressionTreeValues(solution, problemData.Dataset, rows); 56 IEnumerable<double> originalValues = problemData.Dataset.Get EnumeratedVariableValues(problemData.TargetVariable, rows);56 IEnumerable<double> originalValues = problemData.Dataset.GetDoubleValues(problemData.TargetVariable, rows); 57 57 IEnumerable<double> boundedEstimationValues = estimatedValues.LimitToRange(lowerEstimationLimit, upperEstimationLimit); 58 58 OnlineCalculatorError errorState; -
branches/GP.Grammar.Editor/HeuristicLab.Problems.DataAnalysis.Symbolic.Classification/3.4/MultiObjective/SymbolicClassificationMultiObjectivePearsonRSquaredTreeSizeEvaluator.cs
r5942 r6784 33 33 public static double[] Calculate(ISymbolicDataAnalysisExpressionTreeInterpreter interpreter, ISymbolicExpressionTree solution, double lowerEstimationLimit, double upperEstimationLimit, IClassificationProblemData problemData, IEnumerable<int> rows) { 34 34 IEnumerable<double> estimatedValues = interpreter.GetSymbolicExpressionTreeValues(solution, problemData.Dataset, rows); 35 IEnumerable<double> originalValues = problemData.Dataset.Get EnumeratedVariableValues(problemData.TargetVariable, rows);35 IEnumerable<double> originalValues = problemData.Dataset.GetDoubleValues(problemData.TargetVariable, rows); 36 36 OnlineCalculatorError errorState; 37 37 double r2 = OnlinePearsonsRSquaredCalculator.Calculate(estimatedValues, originalValues, out errorState); -
branches/GP.Grammar.Editor/HeuristicLab.Problems.DataAnalysis.Symbolic.Classification/3.4/MultiObjective/SymbolicClassificationMultiObjectiveProblem.cs
r6782 r6784 76 76 77 77 private void UpdateEstimationLimits() { 78 if (ProblemData.Training Partition.Start < ProblemData.TrainingPartition.End) {79 var targetValues = ProblemData.Dataset.Get VariableValues(ProblemData.TargetVariable, ProblemData.TrainingPartition.Start, ProblemData.TrainingPartition.End);78 if (ProblemData.TrainingIndizes.Any()) { 79 var targetValues = ProblemData.Dataset.GetDoubleValues(ProblemData.TargetVariable, ProblemData.TrainingIndizes).ToList(); 80 80 var mean = targetValues.Average(); 81 81 var range = targetValues.Max() - targetValues.Min(); 82 82 EstimationLimits.Upper = mean + PunishmentFactor * range; 83 83 EstimationLimits.Lower = mean - PunishmentFactor * range; 84 } else { 85 EstimationLimits.Upper = double.MaxValue; 86 EstimationLimits.Lower = double.MinValue; 84 87 } 85 88 }
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