Changeset 6238 for trunk/sources/HeuristicLab.Problems.DataAnalysis.Views/3.4/Regression/RegressionSolutionEstimatedValuesView.cs
- Timestamp:
- 05/20/11 15:07:45 (13 years ago)
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-
- 1 edited
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trunk/sources/HeuristicLab.Problems.DataAnalysis.Views/3.4/Regression/RegressionSolutionEstimatedValuesView.cs
r6058 r6238 32 32 [Content(typeof(IRegressionSolution))] 33 33 public partial class RegressionSolutionEstimatedValuesView : ItemView, IRegressionSolutionEvaluationView { 34 private const string TARGETVARIABLE_SERIES_NAME = "TargetVariable"; 35 private const string ESTIMATEDVALUES_SERIES_NAME = "EstimatedValues"; 34 private const string TARGETVARIABLE_SERIES_NAME = "Target Variable"; 35 private const string ESTIMATEDVALUES_TRAINING_SERIES_NAME = "Estimated Values (training)"; 36 private const string ESTIMATEDVALUES_TEST_SERIES_NAME = "Estimated Values (test)"; 36 37 37 38 public new IRegressionSolution Content { … … 85 86 DoubleMatrix matrix = null; 86 87 if (Content != null) { 87 double[,] values = new double[Content.ProblemData.Dataset.Rows, 4]; 88 double[,] values = new double[Content.ProblemData.Dataset.Rows, 5]; 89 // initialize to double.NaN 90 for (int row = 0; row < Content.ProblemData.Dataset.Rows; row++) 91 for (int column = 0; column < 5; column++) 92 values[row, column] = double.NaN; 88 93 89 94 double[] target = Content.ProblemData.Dataset.GetVariableValues(Content.ProblemData.TargetVariable); 90 double[] estimated = Content.EstimatedValues.ToArray(); 95 var estimated_training = Content.EstimatedTrainingValues.GetEnumerator(); 96 var estimated_test = Content.EstimatedTestValues.GetEnumerator(); 97 98 foreach (var row in Content.ProblemData.TrainingIndizes) { 99 estimated_training.MoveNext(); 100 values[row, 1] = estimated_training.Current; 101 } 102 103 foreach (var row in Content.ProblemData.TestIndizes) { 104 estimated_test.MoveNext(); 105 values[row, 2] = estimated_test.Current; 106 } 107 91 108 for (int row = 0; row < target.Length; row++) { 92 109 values[row, 0] = target[row]; 93 values[row, 1] = estimated[row]; 94 values[row, 2] = Math.Abs(estimated[row] - target[row]); 95 values[row, 3] = Math.Abs(values[row, 2] / target[row]); 110 double est = values[row, 1]; 111 if (!double.IsNaN(est)) { 112 values[row, 3] = Math.Abs(est - target[row]); 113 values[row, 4] = Math.Abs(values[row, 3] / target[row]); 114 } 96 115 } 97 116 98 117 matrix = new DoubleMatrix(values); 99 matrix.ColumnNames = new string[] { TARGETVARIABLE_SERIES_NAME, ESTIMATEDVALUES_ SERIES_NAME, "Absolute Error", "Relative Error" };118 matrix.ColumnNames = new string[] { TARGETVARIABLE_SERIES_NAME, ESTIMATEDVALUES_TRAINING_SERIES_NAME, ESTIMATEDVALUES_TEST_SERIES_NAME, "Absolute Error (training)", "Relative Error (training)" }; 100 119 } 101 120 matrixView.Content = matrix;
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