Changeset 5736 for branches/DataAnalysis Refactoring/HeuristicLab.Problems.DataAnalysis.Symbolic.Regression/3.4/SymbolicRegressionSolution.cs

Timestamp:

03/17/11 15:14:45 (13 years ago)

Author:

gkronber

Message:

#1418 implemented linear scaling for classification solutions, fixed bugs interactive simplifier view for classification solutions.

File:

• branches/DataAnalysis Refactoring/HeuristicLab.Problems.DataAnalysis.Symbolic.Regression/3.4/SymbolicRegressionSolution.cs (modified) (3 diffs)

branches/DataAnalysis Refactoring/HeuristicLab.Problems.DataAnalysis.Symbolic.Regression/3.4/SymbolicRegressionSolution.cs

@@ -39 +39 @@
   [Item(Name = "SymbolicRegressionSolution", Description = "Represents a symbolic regression solution (model + data) and attributes of the solution like accuracy and complexity.")]
   public sealed class SymbolicRegressionSolution : RegressionSolution, ISymbolicRegressionSolution {
+    private const string ModelLengthResultName = "ModelLength";
+    private const string ModelDepthResultName = "ModelDepth";
+
     public new ISymbolicRegressionModel Model {
       get { return (ISymbolicRegressionModel)base.Model; }
@@ -45 +48 @@
     ISymbolicDataAnalysisModel ISymbolicDataAnalysisSolution.Model {
       get { return (ISymbolicDataAnalysisModel)base.Model; }
+    }
+    public int ModelLength {
+      get { return ((IntValue)this[ModelLengthResultName].Value).Value; }
+      private set { ((IntValue)this[ModelLengthResultName].Value).Value = value; }
+    }
+
+    public int ModelDepth {
+      get { return ((IntValue)this[ModelDepthResultName].Value).Value; }
+      private set { ((IntValue)this[ModelDepthResultName].Value).Value = value; }
     }
 
@@ -54 +66 @@
     public SymbolicRegressionSolution(ISymbolicRegressionModel model, IRegressionProblemData problemData)
       : base(model, problemData) {
+      Add(new Result(ModelLengthResultName, "Length of the symbolic regression model.", new IntValue()));
+      Add(new Result(ModelDepthResultName, "Depth of the symbolic regression model.", new IntValue()));
+      RecalculateResults();
     }
 
     public override IDeepCloneable Clone(Cloner cloner) {
       return new SymbolicRegressionSolution(this, cloner);
+    }
+
+    protected override void OnModelChanged(EventArgs e) {
+      base.OnModelChanged(e);
+      RecalculateResults();
+    }
+
+    private new void RecalculateResults() {
+      ModelLength = Model.SymbolicExpressionTree.Length;
+      ModelDepth = Model.SymbolicExpressionTree.Depth;
     }