Changeset 5010 for branches/DataAnalysis/HeuristicLab.Problems.DataAnalysis.MultiVariate.TimeSeriesPrognosis.Views/3.3/PrognosisView.cs

Timestamp:

12/02/10 15:25:55 (14 years ago)

Author:

gkronber

Message:

commit of local changes in data-analysis feature exploration branch. #1142

File:

• branches/DataAnalysis/HeuristicLab.Problems.DataAnalysis.MultiVariate.TimeSeriesPrognosis.Views/3.3/PrognosisView.cs (modified) (1 diff)

branches/DataAnalysis/HeuristicLab.Problems.DataAnalysis.MultiVariate.TimeSeriesPrognosis.Views/3.3/PrognosisView.cs

@@ -76 +76 @@
       DoubleMatrix matrix = null;
         if (Content != null) {
-          IEnumerable<string> targetVariables = Content.ProblemData.TargetVariables.CheckedItems.Select(x => x.Value.Value);
-          List<double[]> prognosis = Content.GetPrognosis(currentTimePoint).ToList();
-          double[,] values = new double[prognosis.Count, targetVariables.Count() * 2];
-          for (int row = 0; row < prognosis.Count; row++) {
-            int col = 0;
-            int t = currentTimePoint + row;
-            foreach (string targetVariable in targetVariables) {
-              values[row, col++] = t<Content.ProblemData.Dataset.Rows ? Content.ProblemData.Dataset[targetVariable, t] : double.NaN;
-              values[row, col++] = prognosis[row][(col - 1) / 2];
-            }
-          }
-          matrix = new DoubleMatrix(values);
-          string[] partitions = new string[] { "(original)", "(estimated)" };
-          matrix.ColumnNames = from targetVariable in targetVariables
-                               from partition in partitions
-                               select targetVariable + " " + partition;
-          ;
+          matrix = CalculateMatrix();
         }
         valuesView.Content = matrix;
+    }
+
+    public DoubleMatrix CalculateMatrix() {
+      DoubleMatrix matrix = null;
+      IEnumerable<string> targetVariables = Content.ProblemData.TargetVariables.CheckedItems.Select(x => x.Value.Value);
+      List<double[]> prognosis = Content.GetPrognosis(currentTimePoint).ToList();
+      double[,] values = new double[prognosis.Count, targetVariables.Count() * 2];
+      for (int row = 0; row < prognosis.Count; row++) {
+        int col = 0;
+        int t = currentTimePoint + row;
+        foreach (string targetVariable in targetVariables) {
+          values[row, col++] = t < Content.ProblemData.Dataset.Rows ? Content.ProblemData.Dataset[targetVariable, t] : double.NaN;
+          values[row, col++] = prognosis[row][(col - 1) / 2];
+        }
+      }
+      matrix = new DoubleMatrix(values);
+      string[] partitions = new string[] { "(original)", "(estimated)" };
+      matrix.ColumnNames = from targetVariable in targetVariables
+                           from partition in partitions
+                           select targetVariable + " " + partition;
+      ;
+      return matrix;
     }