Changeset 13921 for trunk/sources/HeuristicLab.Problems.DataAnalysis.Symbolic.Classification/3.4/SymbolicClassificationModel.cs

Timestamp:

06/19/16 19:56:11 (8 years ago)

Author:

bburlacu

Message:

#2604: Revert changes to DataAnalysisSolution and IDataAnalysisSolution and implement the desired properties in model classes that implement IDataAnalysisModel, IRegressionModel and IClassificationModel.

File:

• trunk/sources/HeuristicLab.Problems.DataAnalysis.Symbolic.Classification/3.4/SymbolicClassificationModel.cs (modified) (1 diff)

trunk/sources/HeuristicLab.Problems.DataAnalysis.Symbolic.Classification/3.4/SymbolicClassificationModel.cs

@@ -33 +33 @@
   [Item(Name = "SymbolicClassificationModel", Description = "Represents a symbolic classification model.")]
   public abstract class SymbolicClassificationModel : SymbolicDataAnalysisModel, ISymbolicClassificationModel {
+    [Storable]
+    private readonly string targetVariable;
+    public string TargetVariable {
+      get { return targetVariable; }
+    }
 
     [StorableConstructor]
     protected SymbolicClassificationModel(bool deserializing) : base(deserializing) { }
-    protected SymbolicClassificationModel(SymbolicClassificationModel original, Cloner cloner) : base(original, cloner) { }
+
+    protected SymbolicClassificationModel(SymbolicClassificationModel original, Cloner cloner) : base(original, cloner) {
+      targetVariable = original.targetVariable;
+    }
+
     protected SymbolicClassificationModel(ISymbolicExpressionTree tree, ISymbolicDataAnalysisExpressionTreeInterpreter interpreter,
-      double lowerEstimationLimit = double.MinValue, double upperEstimationLimit = double.MaxValue)
-      : base(tree, interpreter, lowerEstimationLimit, upperEstimationLimit) { }
+      double lowerEstimationLimit = double.MinValue, double upperEstimationLimit = double.MaxValue, string targetVariable = "Target")
+      : base(tree, interpreter, lowerEstimationLimit, upperEstimationLimit) {
+      this.targetVariable = targetVariable;
+    }
 
     public abstract IEnumerable<double> GetEstimatedClassValues(IDataset dataset, IEnumerable<int> rows);