Changeset 5649 for branches/DataAnalysis Refactoring/HeuristicLab.Algorithms.DataAnalysis/3.4/SupportVectorMachine/SupportVectorClassificationSolution.cs

Timestamp:

03/10/11 10:00:09 (13 years ago)

Author:

gkronber

Message:

#1418 Implemented classes for classification based on a discriminant function and thresholds and implemented interfaces and base classes for clustering.

File:

• branches/DataAnalysis Refactoring/HeuristicLab.Algorithms.DataAnalysis/3.4/SupportVectorMachine/SupportVectorClassificationSolution.cs (modified) (3 diffs)

branches/DataAnalysis Refactoring/HeuristicLab.Algorithms.DataAnalysis/3.4/SupportVectorMachine/SupportVectorClassificationSolution.cs

@@ -41 +41 @@
     }
 
-    [Storable]
-    private double lowerEstimationLimit;
-    public double LowerEstimationLimit {
-      get { return lowerEstimationLimit; }
-    }
-
-    [Storable]
-    private double upperEstimationLimit;
-    public double UpperEstimationLimit {
-      get { return upperEstimationLimit; }
-    }
-
-    private List<string> inputVariables;
-    [Storable]
-    private IEnumerable<string> InputVariablesStorable {
-      get { return inputVariables; }
-      set { inputVariables = new List<string>(value); }
-    }
-
     public Dataset SupportVectors {
       get { return CalculateSupportVectors(); }
@@ -68 +49 @@
     private SupportVectorClassificationSolution(SupportVectorClassificationSolution original, Cloner cloner)
       : base(original, cloner) {
-      inputVariables = new List<string>(original.inputVariables);
-      lowerEstimationLimit = original.lowerEstimationLimit;
-      upperEstimationLimit = original.upperEstimationLimit;
     }
-    public SupportVectorClassificationSolution(SupportVectorMachineModel model, IClassificationProblemData problemData, IEnumerable<string> inputVariables, double lowerEstimationLimit, double upperEstimationLimit)
+    public SupportVectorClassificationSolution(SupportVectorMachineModel model, IClassificationProblemData problemData)
       : base(model, problemData) {
-      this.inputVariables = new List<string>(inputVariables);
-      this.lowerEstimationLimit = lowerEstimationLimit;
-      this.upperEstimationLimit = upperEstimationLimit;
     }
 
@@ -87 +62 @@
       base.OnProblemDataChanged(e);
     }
-    
+
     private Dataset CalculateSupportVectors() {
       if (Model.Model.SupportVectorIndizes.Length == 0)