Changeset 9135 for branches/ClassificationModelComparison/HeuristicLab.Problems.DataAnalysis.Views/3.4/Classification

Timestamp:

01/09/13 16:27:12 (12 years ago)

Author:

sforsten

Message:

#1998:

• OneR handles missing values separately
• adapted OneRClassificationModelView to show the class of missing values
• with a double-click on the row header in ClassificationSolutionComparisonView the selected solution opens in a new view
• put a try catch block around linear discriminant analysis solution (it is only shown, if it doesn't throw an exception)

Location:

branches/ClassificationModelComparison/HeuristicLab.Problems.DataAnalysis.Views/3.4/Classification

Files:

• ClassificationSolutionComparisonView.Designer.cs (modified) (1 diff)
• ClassificationSolutionComparisonView.cs (modified) (3 diffs)

branches/ClassificationModelComparison/HeuristicLab.Problems.DataAnalysis.Views/3.4/Classification/ClassificationSolutionComparisonView.Designer.cs

@@ -60 +60 @@
       this.dataGridView.Size = new System.Drawing.Size(418, 257);
       this.dataGridView.TabIndex = 0;
+      this.dataGridView.MouseDoubleClick += new System.Windows.Forms.MouseEventHandler(this.dataGridView_MouseDoubleClick);
       // 
       // ClassificationSolutionComparisonView

branches/ClassificationModelComparison/HeuristicLab.Problems.DataAnalysis.Views/3.4/Classification/ClassificationSolutionComparisonView.cs

@@ -33 +33 @@
   [Content(typeof(IClassificationSolution))]
   public partial class ClassificationSolutionComparisonView : DataAnalysisSolutionEvaluationView {
+    private List<IClassificationSolution> solutions;
+
     public ClassificationSolutionComparisonView() {
       InitializeComponent();
@@ -75 +77 @@
           dataGridView.Rows.Clear();
           dataGridView.Columns.Clear();
+          solutions.Clear();
         } else {
 
           IClassificationProblemData problemData = Content.ProblemData;
           Dataset dataset = problemData.Dataset;
-          List<IClassificationSolution> solutions = new List<IClassificationSolution>() { Content };
+          solutions = new List<IClassificationSolution>() { Content };
           solutions.AddRange(GenerateClassificationSolutions(problemData));
 
@@ -126 +129 @@
 
     private IEnumerable<IClassificationSolution> GenerateClassificationSolutions(IClassificationProblemData problemData) {
+      var solutions = new List<IClassificationSolution>();
       var zeroR = ZeroR.CreateZeroRSolution(problemData);
       zeroR.Name = "0R Classification Solution";
+      solutions.Add(zeroR);
       var oneR = OneR.CreateOneRSolution(problemData, 6, new FastRandom());
       oneR.Name = "1R Classification Solution";
-      var lda = LinearDiscriminantAnalysis.CreateLinearDiscriminantAnalysisSolution(problemData);
-      lda.Name = "Linear Discriminant Analysis Solution";
-      return new List<IClassificationSolution>() { zeroR, oneR, lda };
+      solutions.Add(oneR);
+      try {
+        var lda = LinearDiscriminantAnalysis.CreateLinearDiscriminantAnalysisSolution(problemData);
+        lda.Name = "Linear Discriminant Analysis Solution";
+        solutions.Add(lda);
+      }
+      catch (NotSupportedException) { }
+      catch (ArgumentException) { }
+      return solutions;
+    }
+
+    private void dataGridView_MouseDoubleClick(object sender, MouseEventArgs e) {
+      var hittestinfo = dataGridView.HitTest(e.X, e.Y);
+      if (hittestinfo.Type != DataGridViewHitTestType.RowHeader) { return; }
+      if (hittestinfo.RowIndex > solutions.Count) { return; }
+
+      MainFormManager.MainForm.ShowContent(solutions[hittestinfo.RowIndex]);
     }
   }