- Timestamp:
- 03/03/15 14:32:37 (10 years ago)
- Location:
- trunk/sources/HeuristicLab.Problems.DataAnalysis.Symbolic.Classification/3.4/SingleObjective
- Files:
-
- 3 edited
Legend:
- Unmodified
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trunk/sources/HeuristicLab.Problems.DataAnalysis.Symbolic.Classification/3.4/SingleObjective/SymbolicClassificationSingleObjectiveBoundedMeanSquaredErrorEvaluator.cs
r12103 r12110 29 29 using HeuristicLab.Persistence.Default.CompositeSerializers.Storable; 30 30 31 namespace HeuristicLab.Problems.DataAnalysis.Symbolic.Classification {31 namespace HeuristicLab.Problems.DataAnalysis.Symbolic.Classification.SingleObjective { 32 32 [Item("Bounded Mean squared error Evaluator", "Calculates the bounded mean squared error of a symbolic classification solution (estimations above or below the class values are only penaltilized linearly.")] 33 33 [StorableClass] -
trunk/sources/HeuristicLab.Problems.DataAnalysis.Symbolic.Classification/3.4/SingleObjective/SymbolicClassificationSingleObjectiveMeanSquaredErrorEvaluator.cs
r12108 r12110 28 28 using HeuristicLab.Persistence.Default.CompositeSerializers.Storable; 29 29 30 namespace HeuristicLab.Problems.DataAnalysis.Symbolic.Classification .SingleObjective{30 namespace HeuristicLab.Problems.DataAnalysis.Symbolic.Classification { 31 31 [Item("Mean squared error Evaluator", "Calculates the mean squared error of a symbolic classification solution.")] 32 32 [StorableClass] -
trunk/sources/HeuristicLab.Problems.DataAnalysis.Symbolic.Classification/3.4/SingleObjective/SymbolicClassificationSingleObjectiveProblem.cs
r12108 r12110 25 25 using HeuristicLab.Parameters; 26 26 using HeuristicLab.Persistence.Default.CompositeSerializers.Storable; 27 using HeuristicLab.Problems.DataAnalysis.Symbolic.Classification.SingleObjective;28 27 29 28 namespace HeuristicLab.Problems.DataAnalysis.Symbolic.Classification {
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