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Timestamp:
05/03/16 09:47:26 (8 years ago)
Author:
pfleck
Message:

#2597:

  • Added new interface IConfidenceBoundRegressionModel and IConfidenceBoundRegressionSolution for regression models/solutions that support confidence information on estimated samples.
  • Renamed GetEstimatedVariance to GetEstimatedVariances to be consistent with GetEstimatedValues.
File:
1 edited

Legend:

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  • branches/HeuristicLab.RegressionSolutionGradientView/HeuristicLab.Algorithms.DataAnalysis.Views/3.4/GaussianProcessRegressionSolutionLineChartView.cs

    r13121 r13823  
    6969        this.chart.Series[ESTIMATEDVALUES_TRAINING_SERIES_NAME].EmptyPointStyle.Color = this.chart.Series[ESTIMATEDVALUES_TRAINING_SERIES_NAME].Color;
    7070        var mean = Content.EstimatedTrainingValues.ToArray();
    71         var s2 = Content.EstimatedTrainingVariance.ToArray();
     71        var s2 = Content.EstimatedTrainingVariances.ToArray();
    7272        var lower = mean.Zip(s2, GetLowerConfBound).ToArray();
    7373        var upper = mean.Zip(s2, GetUpperConfBound).ToArray();
    … …  
    8282
    8383        mean = Content.EstimatedTestValues.ToArray();
    84         s2 = Content.EstimatedTestVariance.ToArray();
     84        s2 = Content.EstimatedTestVariances.ToArray();
    8585        lower = mean.Zip(s2, GetLowerConfBound).ToArray();
    8686        upper = mean.Zip(s2, GetUpperConfBound).ToArray();
    … …  
    9292        int[] allIndices = Enumerable.Range(0, Content.ProblemData.Dataset.Rows).Except(Content.ProblemData.TrainingIndices).Except(Content.ProblemData.TestIndices).ToArray();
    9393        mean = Content.EstimatedValues.ToArray();
    94         s2 = Content.EstimatedVariance.ToArray();
     94        s2 = Content.EstimatedVariances.ToArray();
    9595        lower = mean.Zip(s2, GetLowerConfBound).ToArray();
    9696        upper = mean.Zip(s2, GetUpperConfBound).ToArray();
    … …  
    264264            indices = Enumerable.Range(0, Content.ProblemData.Dataset.Rows).Except(Content.ProblemData.TrainingIndices).Except(Content.ProblemData.TestIndices).ToArray();
    265265            mean = Content.EstimatedValues.ToArray();
    266             s2 = Content.EstimatedVariance.ToArray();
     266            s2 = Content.EstimatedVariances.ToArray();
    267267            lower = mean.Zip(s2, GetLowerConfBound).ToArray();
    268268            upper = mean.Zip(s2, GetUpperConfBound).ToArray();
    … …  
    273273            indices = Content.ProblemData.TrainingIndices.ToArray();
    274274            mean = Content.EstimatedTrainingValues.ToArray();
    275             s2 = Content.EstimatedTrainingVariance.ToArray();
     275            s2 = Content.EstimatedTrainingVariances.ToArray();
    276276            lower = mean.Zip(s2, GetLowerConfBound).ToArray();
    277277            upper = mean.Zip(s2, GetUpperConfBound).ToArray();
    … …  
    280280            indices = Content.ProblemData.TestIndices.ToArray();
    281281            mean = Content.EstimatedTestValues.ToArray();
    282             s2 = Content.EstimatedTestVariance.ToArray();
     282            s2 = Content.EstimatedTestVariances.ToArray();
    283283            lower = mean.Zip(s2, GetLowerConfBound).ToArray();
    284284            upper = mean.Zip(s2, GetUpperConfBound).ToArray();
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