Changeset 5747 for branches/DataAnalysis Refactoring/HeuristicLab.Problems.DataAnalysis.Symbolic.Classification/3.4/MultiObjective

Timestamp:

03/18/11 10:01:00 (14 years ago)

Author:

gkronber

Message:

#1418 renamed bounded evaluator, added base classes for single objective and multi objective validation analzers, added overfitting analyzers for symbolic regression and classification.

Location:

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

Files:

• SymbolicClassificationMultiObjectiveMeanSquaredErrorTreeSizeEvaluator.cs (modified) (1 diff)
• SymbolicClassificationMultiObjectivePearsonRSquaredTreeSizeEvaluator.cs (modified) (2 diffs)
• SymbolicClassificationMultiObjectiveTrainingBestSolutionAnalyzer.cs (modified) (1 diff)

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

@@ -26 +26 @@
 using HeuristicLab.Encodings.SymbolicExpressionTreeEncoding;
 using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
+using System;
 
 namespace HeuristicLab.Problems.DataAnalysis.Symbolic.Classification {

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

@@ -5 +5 @@
 using HeuristicLab.Encodings.SymbolicExpressionTreeEncoding;
 using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
+using System;
 
 namespace HeuristicLab.Problems.DataAnalysis.Symbolic.Classification {
@@ -33 +34 @@
       IEnumerable<double> estimatedValues = interpreter.GetSymbolicExpressionTreeValues(solution, problemData.Dataset, rows);
       IEnumerable<double> originalValues = problemData.Dataset.GetEnumeratedVariableValues(problemData.TargetVariable, rows);
-      double r2 = OnlinePearsonsRSquaredEvaluator.Calculate(originalValues, estimatedValues);
-      return new double[2] { r2, solution.Length };
+      try {
+        double r2 = OnlinePearsonsRSquaredEvaluator.Calculate(originalValues, estimatedValues);
+        return new double[2] { r2, solution.Length };
+      }
+      catch (ArgumentException) {
+        // if R² cannot be calcualted because of infinity or NaN values => return worst possible fitness value
+        return new double[2] { 0.0, solution.Length };
+      }
     }
 

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

@@ -38 +38 @@
   [StorableClass]
   public sealed class SymbolicClassificationMultiObjectiveTrainingBestSolutionAnalyzer : SymbolicDataAnalysisMultiObjectiveTrainingBestSolutionAnalyzer<ISymbolicClassificationSolution>,
-    ISymbolicDataAnalysisInterpreterOperator {
+    ISymbolicDataAnalysisInterpreterOperator, ISymbolicDataAnalysisBoundedOperator {
     private const string ProblemDataParameterName = "ProblemData";
     private const string SymbolicDataAnalysisTreeInterpreterParameterName = "SymbolicDataAnalysisTreeInterpreter";