Changeset 9135 for branches/ClassificationModelComparison/HeuristicLab.Algorithms.DataAnalysis/3.4/Linear/OneR

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)

File:

• branches/ClassificationModelComparison/HeuristicLab.Algorithms.DataAnalysis/3.4/Linear/OneR/OneRClassificationModel.cs (modified) (4 diffs)

branches/ClassificationModelComparison/HeuristicLab.Algorithms.DataAnalysis/3.4/Linear/OneR/OneRClassificationModel.cs

@@ -50 +50 @@
     }
 
+    [Storable]
+    protected double missingValuesClass;
+    public double MissingValuesClass {
+      get { return missingValuesClass; }
+    }
+
     [StorableConstructor]
     protected OneRClassificationModel(bool deserializing) : base(deserializing) { }
@@ -60 +66 @@
     public override IDeepCloneable Clone(Cloner cloner) { return new OneRClassificationModel(this, cloner); }
 
-    public OneRClassificationModel(string variable, double[] splits, double[] classes)
+    public OneRClassificationModel(string variable, double[] splits, double[] classes, double missingValuesClass = double.NaN)
       : base() {
       if (splits.Length != classes.Length) {
@@ -73 +79 @@
       this.splits = splits;
       this.classes = classes;
+      this.missingValuesClass = missingValuesClass;
     }
 
@@ -85 +92 @@
       Array.Sort(values, rowsArray);
       int curSplit = 0, curIndex = 0;
+      while (curIndex < values.Length && Double.IsNaN(values[curIndex])) {
+        estimated[curIndex] = MissingValuesClass;
+        curIndex++;
+      }
       while (curSplit < Splits.Length) {
         while (curIndex < values.Length && Splits[curSplit] > values[curIndex]) {