Changeset 5275 for branches/DataAnalysis/HeuristicLab.Problems.DataAnalysis.Regression/3.3/Symbolic/SymbolicRegressionProblem.cs

Timestamp:

01/11/11 15:03:46 (13 years ago)

Author:

gkronber

Message:

Merged changes from trunk to data analysis exploration branch and added fractional distance metric evaluator. #1142

File:

• branches/DataAnalysis/HeuristicLab.Problems.DataAnalysis.Regression/3.3/Symbolic/SymbolicRegressionProblem.cs (modified) (6 diffs)

branches/DataAnalysis/HeuristicLab.Problems.DataAnalysis.Regression/3.3/Symbolic/SymbolicRegressionProblem.cs

@@ -34 +34 @@
   [Creatable("Problems")]
   [StorableClass]
-  public class SymbolicRegressionProblem : SymbolicRegressionProblemBase, ISingleObjectiveProblem {
+  public sealed class SymbolicRegressionProblem : SymbolicRegressionProblemBase, ISingleObjectiveDataAnalysisProblem {
 
     #region Parameter Properties
@@ -74 +74 @@
 
     [StorableConstructor]
-    protected SymbolicRegressionProblem(bool deserializing) : base(deserializing) { }
+    private SymbolicRegressionProblem(bool deserializing) : base(deserializing) { }
+    private SymbolicRegressionProblem(SymbolicRegressionProblem original, Cloner cloner)
+      : base(original, cloner) {
+      RegisterParameterEvents();
+      RegisterParameterValueEvents();
+    }
+
     public SymbolicRegressionProblem()
       : base() {
@@ -81 +87 @@
       Parameters.Add(new ValueParameter<ISymbolicRegressionEvaluator>("Evaluator", "The operator which should be used to evaluate symbolic regression solutions.", evaluator));
       Parameters.Add(new OptionalValueParameter<DoubleValue>("BestKnownQuality", "The minimal error value that reached by symbolic regression solutions for the problem."));
-
-      evaluator.QualityParameter.ActualName = "TrainingPearsonR2";
 
       InitializeOperators();
@@ -92 +96 @@
 
     public override IDeepCloneable Clone(Cloner cloner) {
-      SymbolicRegressionProblem clone = (SymbolicRegressionProblem)base.Clone(cloner);
-      clone.RegisterParameterEvents();
-      clone.RegisterParameterValueEvents();
-      return clone;
+      return new SymbolicRegressionProblem(this, cloner);
     }
 
@@ -146 +147 @@
     private void InitializeOperators() {
       AddOperator(new FixedValidationBestScaledSymbolicRegressionSolutionAnalyzer());
+      AddOperator(new SymbolicRegressionOverfittingAnalyzer());
       ParameterizeAnalyzers();
     }
@@ -159 +161 @@
       foreach (var analyzer in Analyzers) {
         analyzer.SymbolicExpressionTreeParameter.ActualName = SolutionCreator.SymbolicExpressionTreeParameter.ActualName;
+        var validationSolutionAnalyzer = analyzer as SymbolicRegressionValidationAnalyzer;
+        if (validationSolutionAnalyzer != null) {
+          validationSolutionAnalyzer.ProblemDataParameter.ActualName = DataAnalysisProblemDataParameter.Name;
+          validationSolutionAnalyzer.UpperEstimationLimitParameter.ActualName = UpperEstimationLimitParameter.Name;
+          validationSolutionAnalyzer.LowerEstimationLimitParameter.ActualName = LowerEstimationLimitParameter.Name;
+          validationSolutionAnalyzer.SymbolicExpressionTreeInterpreterParameter.ActualName = SymbolicExpressionTreeInterpreterParameter.Name;
+          validationSolutionAnalyzer.SymbolicExpressionTreeParameter.ActualName = SolutionCreator.SymbolicExpressionTreeParameter.ActualName;
+          validationSolutionAnalyzer.ValidationSamplesStartParameter.Value = ValidationSamplesStart;
+          validationSolutionAnalyzer.ValidationSamplesEndParameter.Value = ValidationSamplesEnd;
+        }
+
         var fixedBestValidationSolutionAnalyzer = analyzer as FixedValidationBestScaledSymbolicRegressionSolutionAnalyzer;
         if (fixedBestValidationSolutionAnalyzer != null) {
-          fixedBestValidationSolutionAnalyzer.ProblemDataParameter.ActualName = DataAnalysisProblemDataParameter.Name;
-          fixedBestValidationSolutionAnalyzer.UpperEstimationLimitParameter.ActualName = UpperEstimationLimitParameter.Name;
-          fixedBestValidationSolutionAnalyzer.LowerEstimationLimitParameter.ActualName = LowerEstimationLimitParameter.Name;
-          fixedBestValidationSolutionAnalyzer.SymbolicExpressionTreeInterpreterParameter.ActualName = SymbolicExpressionTreeInterpreterParameter.Name;
-          fixedBestValidationSolutionAnalyzer.SymbolicExpressionTreeParameter.ActualName = SolutionCreator.SymbolicExpressionTreeParameter.ActualName;
-          fixedBestValidationSolutionAnalyzer.ValidationSamplesStartParameter.Value = ValidationSamplesStart;
-          fixedBestValidationSolutionAnalyzer.ValidationSamplesEndParameter.Value = ValidationSamplesEnd;
           fixedBestValidationSolutionAnalyzer.BestKnownQualityParameter.ActualName = BestKnownQualityParameter.Name;
         }
+
         var bestValidationSolutionAnalyzer = analyzer as ValidationBestScaledSymbolicRegressionSolutionAnalyzer;
         if (bestValidationSolutionAnalyzer != null) {