Changeset 6784 for branches/GP.Grammar.Editor/HeuristicLab.Problems.DataAnalysis/3.4/Implementation/Classification/DiscriminantFunctionClassificationSolutionBase.cs
- Timestamp:
- 09/16/11 12:00:36 (13 years ago)
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-
- 1 edited
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branches/GP.Grammar.Editor/HeuristicLab.Problems.DataAnalysis/3.4/Implementation/Classification/DiscriminantFunctionClassificationSolutionBase.cs
r6618 r6784 103 103 protected void CalculateRegressionResults() { 104 104 double[] estimatedTrainingValues = EstimatedTrainingValues.ToArray(); // cache values 105 double[] originalTrainingValues = ProblemData.Dataset.Get EnumeratedVariableValues(ProblemData.TargetVariable, ProblemData.TrainingIndizes).ToArray();105 double[] originalTrainingValues = ProblemData.Dataset.GetDoubleValues(ProblemData.TargetVariable, ProblemData.TrainingIndizes).ToArray(); 106 106 double[] estimatedTestValues = EstimatedTestValues.ToArray(); // cache values 107 double[] originalTestValues = ProblemData.Dataset.Get EnumeratedVariableValues(ProblemData.TargetVariable, ProblemData.TestIndizes).ToArray();107 double[] originalTestValues = ProblemData.Dataset.GetDoubleValues(ProblemData.TargetVariable, ProblemData.TestIndizes).ToArray(); 108 108 109 109 OnlineCalculatorError errorState; … … 132 132 double[] classValues; 133 133 double[] thresholds; 134 var targetClassValues = ProblemData.Dataset.Get EnumeratedVariableValues(ProblemData.TargetVariable, ProblemData.TrainingIndizes);134 var targetClassValues = ProblemData.Dataset.GetDoubleValues(ProblemData.TargetVariable, ProblemData.TrainingIndizes); 135 135 AccuracyMaximizationThresholdCalculator.CalculateThresholds(ProblemData, EstimatedTrainingValues, targetClassValues, out classValues, out thresholds); 136 136 … … 141 141 double[] classValues; 142 142 double[] thresholds; 143 var targetClassValues = ProblemData.Dataset.Get EnumeratedVariableValues(ProblemData.TargetVariable, ProblemData.TrainingIndizes);143 var targetClassValues = ProblemData.Dataset.GetDoubleValues(ProblemData.TargetVariable, ProblemData.TrainingIndizes); 144 144 NormalDistributionCutPointsThresholdCalculator.CalculateThresholds(ProblemData, EstimatedTrainingValues, targetClassValues, out classValues, out thresholds); 145 145
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