Changeset 13948 for branches/HeuristicLab.RegressionSolutionGradientView/HeuristicLab.Problems.DataAnalysis/3.4/Implementation/Classification/DiscriminantFunctionClassificationModel.cs

Timestamp:

06/29/16 10:36:52 (8 years ago)

Author:

pfleck

Message:

#2597

• Merged recent trunk changes.
• Adapted VariablesUsedForPrediction property for RegressionSolutionTargetResponseGradientView.
• Fixed a reference (.dll to project ref).

Location:

branches/HeuristicLab.RegressionSolutionGradientView/HeuristicLab.Problems.DataAnalysis

Files:

• . (modified) (1 prop)
• 3.4/Implementation/Classification/DiscriminantFunctionClassificationModel.cs (modified) (4 diffs)

branches/HeuristicLab.RegressionSolutionGradientView/HeuristicLab.Problems.DataAnalysis/3.4/Implementation/Classification/DiscriminantFunctionClassificationModel.cs

@@ -33 +33 @@
   [StorableClass]
   [Item("DiscriminantFunctionClassificationModel", "Represents a classification model that uses a discriminant function and classification thresholds.")]
-  public class DiscriminantFunctionClassificationModel : NamedItem, IDiscriminantFunctionClassificationModel {
+  public class DiscriminantFunctionClassificationModel : ClassificationModel, IDiscriminantFunctionClassificationModel {
+    public override IEnumerable<string> VariablesUsedForPrediction {
+      get { return model.VariablesUsedForPrediction; }
+    }
+
     [Storable]
     private IRegressionModel model;
@@ -73 +77 @@
 
     public DiscriminantFunctionClassificationModel(IRegressionModel model, IDiscriminantFunctionThresholdCalculator thresholdCalculator)
-      : base() {
+      : base(model.TargetVariable) {
       this.name = ItemName;
       this.description = ItemDescription;
+
       this.model = model;
       this.classValues = new double[0];
@@ -115 +120 @@
     }
 
-    public IEnumerable<double> GetEstimatedClassValues(IDataset dataset, IEnumerable<int> rows) {
+    public override IEnumerable<double> GetEstimatedClassValues(IDataset dataset, IEnumerable<int> rows) {
       if (!Thresholds.Any() && !ClassValues.Any()) throw new ArgumentException("No thresholds and class values were set for the current classification model.");
       foreach (var x in GetEstimatedValues(dataset, rows)) {
@@ -135 +140 @@
     #endregion
 
-    public virtual IDiscriminantFunctionClassificationSolution CreateDiscriminantFunctionClassificationSolution(IClassificationProblemData problemData) {
+    public override IClassificationSolution CreateClassificationSolution(IClassificationProblemData problemData) {
+      return CreateDiscriminantFunctionClassificationSolution(problemData);
+    }
+    public virtual IDiscriminantFunctionClassificationSolution CreateDiscriminantFunctionClassificationSolution(
+      IClassificationProblemData problemData) {
       return new DiscriminantFunctionClassificationSolution(this, new ClassificationProblemData(problemData));
-    }
-
-    public virtual IClassificationSolution CreateClassificationSolution(IClassificationProblemData problemData) {
-      return CreateDiscriminantFunctionClassificationSolution(problemData);
     }
   }