Changeset 5649 for branches/DataAnalysis Refactoring/HeuristicLab.Problems.DataAnalysis.Symbolic.Classification/3.4/MultiObjective

Timestamp:

03/10/11 10:00:09 (14 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.Problems.DataAnalysis.Symbolic.Classification/3.4/MultiObjective/SymbolicClassificationMultiObjectiveTrainingBestSolutionAnalyzer.cs (modified) (3 diffs)

branches/DataAnalysis Refactoring/HeuristicLab.Problems.DataAnalysis.Symbolic.Classification/3.4/MultiObjective/SymbolicClassificationMultiObjectiveTrainingBestSolutionAnalyzer.cs

@@ -37 +37 @@
   [Item("SymbolicClassificationMultiObjectiveTrainingBestSolutionAnalyzer", "An operator that analyzes the training best symbolic classification solution for multi objective symbolic classification problems.")]
   [StorableClass]
-  public sealed class SymbolicClassificationMultiObjectiveTrainingBestSolutionAnalyzer : SymbolicDataAnalysisMultiObjectiveTrainingBestSolutionAnalyzer<ISymbolicClassificationSolution> {
+  public sealed class SymbolicClassificationMultiObjectiveTrainingBestSolutionAnalyzer : SymbolicDataAnalysisMultiObjectiveTrainingBestSolutionAnalyzer<ISymbolicClassificationSolution>,
+    ISymbolicDataAnalysisInterpreterOperator {
+    private const string ProblemDataParameterName = "ProblemData";
+    private const string SymbolicDataAnalysisTreeInterpreterParameterName = "SymbolicDataAnalysisTreeInterpreter";
+    #region parameter properties
+    public ILookupParameter<IClassificationProblemData> ProblemDataParameter {
+      get { return (ILookupParameter<IClassificationProblemData>)Parameters[ProblemDataParameterName]; }
+    }
+    public ILookupParameter<ISymbolicDataAnalysisExpressionTreeInterpreter> SymbolicDataAnalysisTreeInterpreterParameter {
+      get { return (ILookupParameter<ISymbolicDataAnalysisExpressionTreeInterpreter>)Parameters[SymbolicDataAnalysisTreeInterpreterParameterName]; }
+    }
+    #endregion
+    #region properties
+    public IClassificationProblemData ProblemData {
+      get { return ProblemDataParameter.ActualValue; }
+    }
+    public ISymbolicDataAnalysisExpressionTreeInterpreter SymbolicDataAnalysisTreeInterpreter {
+      get { return SymbolicDataAnalysisTreeInterpreterParameter.ActualValue; }
+    }
+    #endregion
     [StorableConstructor]
     private SymbolicClassificationMultiObjectiveTrainingBestSolutionAnalyzer(bool deserializing) : base(deserializing) { }
@@ -43 +62 @@
     public SymbolicClassificationMultiObjectiveTrainingBestSolutionAnalyzer()
       : base() {
+      Parameters.Add(new LookupParameter<IClassificationProblemData>(ProblemDataParameterName, "The problem data for the symbolic classification solution."));
     }
     public override IDeepCloneable Clone(Cloner cloner) {
@@ -50 +70 @@
 
     protected override ISymbolicClassificationSolution CreateSolution(ISymbolicExpressionTree bestTree, double[] bestQuality) {
-      throw new System.NotImplementedException();
+      var model = new SymbolicDiscriminantFunctionClassificationModel(bestTree, SymbolicDataAnalysisTreeInterpreter, ProblemData.ClassValues);
+      return new SymbolicDiscriminantFunctionClassificationSolution(model, ProblemData);
     }
   }