Changeset 5894 for trunk/sources/HeuristicLab.Problems.DataAnalysis.Symbolic.Classification/3.4/SingleObjective

Timestamp:

03/30/11 18:04:03 (14 years ago)

Author:

gkronber

Message:

#1453: Added an ErrorState property to online evaluators to indicate if the result value is valid or if there has been an error in the calculation. Adapted all classes that use one of the online evaluators to check this property.

Location:

trunk/sources/HeuristicLab.Problems.DataAnalysis.Symbolic.Classification/3.4/SingleObjective

Files:

• SymbolicClassificationSingleObjectiveBoundedMeanSquaredErrorEvaluator.cs (modified) (1 diff)
• SymbolicClassificationSingleObjectiveMeanSquaredErrorEvaluator.cs (modified) (1 diff)
• SymbolicClassificationSingleObjectivePearsonRSquaredEvaluator.cs (modified) (2 diffs)

trunk/sources/HeuristicLab.Problems.DataAnalysis.Symbolic.Classification/3.4/SingleObjective/SymbolicClassificationSingleObjectiveBoundedMeanSquaredErrorEvaluator.cs

@@ -63 +63 @@
       IEnumerator<double> originalEnumerator = originalValues.GetEnumerator();
       IEnumerator<double> estimatedEnumerator = estimatedValues.GetEnumerator();
-      OnlineMeanSquaredErrorEvaluator mseEvaluator = new OnlineMeanSquaredErrorEvaluator();
       double errorSum = 0.0;
       int n = 0;

trunk/sources/HeuristicLab.Problems.DataAnalysis.Symbolic.Classification/3.4/SingleObjective/SymbolicClassificationSingleObjectiveMeanSquaredErrorEvaluator.cs

@@ -58 +58 @@
       IEnumerable<double> originalValues = problemData.Dataset.GetEnumeratedVariableValues(problemData.TargetVariable, rows);
       IEnumerable<double> boundedEstimationValues = estimatedValues.LimitToRange(lowerEstimationLimit, upperEstimationLimit);
-      return OnlineMeanSquaredErrorEvaluator.Calculate(originalValues, boundedEstimationValues);
+      OnlineEvaluatorError errorState;
+      double mse = OnlineMeanSquaredErrorEvaluator.Calculate(originalValues, boundedEstimationValues, out errorState);
+      if (errorState != OnlineEvaluatorError.None) return double.NaN;
+      else return mse;
     }
 

trunk/sources/HeuristicLab.Problems.DataAnalysis.Symbolic.Classification/3.4/SingleObjective/SymbolicClassificationSingleObjectivePearsonRSquaredEvaluator.cs

@@ -58 +58 @@
       IEnumerable<double> estimatedValues = interpreter.GetSymbolicExpressionTreeValues(solution, problemData.Dataset, rows);
       IEnumerable<double> originalValues = problemData.Dataset.GetEnumeratedVariableValues(problemData.TargetVariable, rows);
-      double r2 = OnlinePearsonsRSquaredEvaluator.Calculate(estimatedValues, originalValues);
-      return double.IsNaN(r2) ? 0.0 : r2;
+      OnlineEvaluatorError errorState;
+      double r2 = OnlinePearsonsRSquaredEvaluator.Calculate(estimatedValues, originalValues, out errorState);
+      if (errorState != OnlineEvaluatorError.None) return 0.0;
+      else return r2;
     }
 
@@ -72 +74 @@
       SymbolicDataAnalysisTreeInterpreterParameter.ExecutionContext = null;
       EstimationLimitsParameter.ExecutionContext = null;
-      EvaluatedNodesParameter.ExecutionContext = null; 
+      EvaluatedNodesParameter.ExecutionContext = null;
 
       return r2;