Changeset 12105 for branches/HeuristicLab.DatasetRefactor/sources/HeuristicLab.Problems.DataAnalysis.Symbolic.Classification/3.4/SingleObjective

Timestamp:

03/03/15 11:18:07 (10 years ago)

Author:

bburlacu

Message:

#2276: Merged trunk changes.

Location:

branches/HeuristicLab.DatasetRefactor/sources

Files:

• . (modified) (1 prop)
• HeuristicLab.Problems.DataAnalysis.Symbolic.Classification (modified) (1 prop)
• HeuristicLab.Problems.DataAnalysis.Symbolic.Classification/3.4/SingleObjective/SymbolicClassificationSingleObjectiveBoundedMeanSquaredErrorEvaluator.cs (modified) (1 diff)
• HeuristicLab.Problems.DataAnalysis.Symbolic.Classification/3.4/SingleObjective/SymbolicClassificationSingleObjectiveProblem.cs (modified) (3 diffs)

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

@@ -29 +29 @@
 using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
 
-namespace HeuristicLab.Problems.DataAnalysis.Symbolic.Classification.SingleObjective {
+namespace HeuristicLab.Problems.DataAnalysis.Symbolic.Classification {
   [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.")]
   [StorableClass]

branches/HeuristicLab.DatasetRefactor/sources/HeuristicLab.Problems.DataAnalysis.Symbolic.Classification/3.4/SingleObjective/SymbolicClassificationSingleObjectiveProblem.cs

@@ -22 +22 @@
 using HeuristicLab.Common;
 using HeuristicLab.Core;
+using HeuristicLab.Optimization;
 using HeuristicLab.Parameters;
 using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
@@ -115 +116 @@
       Operators.Add(new SymbolicClassificationSingleObjectiveTrainingParetoBestSolutionAnalyzer());
       Operators.Add(new SymbolicClassificationSingleObjectiveValidationParetoBestSolutionAnalyzer());
+      Operators.Add(new SymbolicExpressionTreePhenotypicSimilarityCalculator());
+      Operators.Add(new SymbolicClassificationPhenotypicDiversityAnalyzer(Operators.OfType<SymbolicExpressionTreePhenotypicSimilarityCalculator>()));
       ParameterizeOperators();
     }
@@ -145 +148 @@
           op.ModelCreatorParameter.ActualName = ModelCreatorParameter.Name;
       }
+
+      foreach (var op in Operators.OfType<ISolutionSimilarityCalculator>()) {
+        op.SolutionVariableName = SolutionCreator.SymbolicExpressionTreeParameter.ActualName;
+        op.QualityVariableName = Evaluator.QualityParameter.ActualName;
+
+        if (op is SymbolicExpressionTreePhenotypicSimilarityCalculator) {
+          var phenotypicSimilarityCalculator = (SymbolicExpressionTreePhenotypicSimilarityCalculator)op;
+          phenotypicSimilarityCalculator.ProblemData = ProblemData;
+          phenotypicSimilarityCalculator.Interpreter = SymbolicExpressionTreeInterpreter;
+        }
+      }
     }
   }