Changeset 5365 for trunk/sources/HeuristicLab.Problems.DataAnalysis.Regression/3.3/Symbolic/Evaluators

Timestamp:

01/24/11 17:12:08 (14 years ago)

Author:

cfischer

Message:

Implemented automatic adaptation of maximization parameter for symbolic regression and classification problems; Added new maximization property in symbolic regression and classification evaluators. #1381

Location:

trunk/sources/HeuristicLab.Problems.DataAnalysis.Regression/3.3/Symbolic/Evaluators

Files:

• SingleObjectiveSymbolicRegressionEvaluator.cs (modified) (1 diff)
• SymbolicRegressionMeanSquaredErrorEvaluator.cs (modified) (1 diff)
• SymbolicRegressionPearsonsRSquaredEvaluator.cs (modified) (1 diff)

trunk/sources/HeuristicLab.Problems.DataAnalysis.Regression/3.3/Symbolic/Evaluators/SingleObjectiveSymbolicRegressionEvaluator.cs

@@ -87 +87 @@
     #endregion
     #region properties
+    public abstract bool Maximization { get; }
+
     public IRandom Random {
       get { return RandomParameter.ActualValue; }

trunk/sources/HeuristicLab.Problems.DataAnalysis.Regression/3.3/Symbolic/Evaluators/SymbolicRegressionMeanSquaredErrorEvaluator.cs

@@ -33 +33 @@
   [StorableClass]
   public class SymbolicRegressionMeanSquaredErrorEvaluator : SingleObjectiveSymbolicRegressionEvaluator {
+
+    public override bool Maximization {
+      get { return false; }
+    }
 
     [StorableConstructor]

trunk/sources/HeuristicLab.Problems.DataAnalysis.Regression/3.3/Symbolic/Evaluators/SymbolicRegressionPearsonsRSquaredEvaluator.cs

@@ -33 +33 @@
   [StorableClass]
   public class SymbolicRegressionPearsonsRSquaredEvaluator : SingleObjectiveSymbolicRegressionEvaluator {
+
+    public override bool Maximization {
+      get { return true; }
+    }
+    
     [StorableConstructor]
     protected SymbolicRegressionPearsonsRSquaredEvaluator(bool deserializing) : base(deserializing) { }