Changeset 5914 for trunk/sources/HeuristicLab.Problems.DataAnalysis.Symbolic.Regression/3.4/MultiObjective

Timestamp:

03/31/11 18:23:02 (13 years ago)

Author:

mkommend

Message:

#1418: Changed DataAnalysisSolutions and -Models and updated GenerateRowsToEvaluate method in SymbolicDataAnalysisEvaluator.

Location:

trunk/sources/HeuristicLab.Problems.DataAnalysis.Symbolic.Regression/3.4/MultiObjective

Files:

• SymbolicRegressionMultiObjectiveTrainingBestSolutionAnalyzer.cs (modified) (1 diff)
• SymbolicRegressionMultiObjectiveValidationBestSolutionAnalyzer.cs (modified) (1 diff)

trunk/sources/HeuristicLab.Problems.DataAnalysis.Symbolic.Regression/3.4/MultiObjective/SymbolicRegressionMultiObjectiveTrainingBestSolutionAnalyzer.cs

@@ -76 +76 @@
 
     protected override ISymbolicRegressionSolution CreateSolution(ISymbolicExpressionTree bestTree, double[] bestQuality) {
-      var model = new SymbolicRegressionModel(bestTree, SymbolicDataAnalysisTreeInterpreterParameter.ActualValue, EstimationLimitsParameter.ActualValue.Lower, EstimationLimitsParameter.ActualValue.Upper);
+      var model = new SymbolicRegressionModel((ISymbolicExpressionTree)bestTree.Clone(), SymbolicDataAnalysisTreeInterpreterParameter.ActualValue, EstimationLimitsParameter.ActualValue.Lower, EstimationLimitsParameter.ActualValue.Upper);
       if (ApplyLinearScaling.Value)
         SymbolicRegressionModel.Scale(model, ProblemDataParameter.ActualValue);
-      return new SymbolicRegressionSolution(model, ProblemDataParameter.ActualValue);
+      return new SymbolicRegressionSolution(model, (IRegressionProblemData)ProblemDataParameter.ActualValue.Clone());
     }
   }

trunk/sources/HeuristicLab.Problems.DataAnalysis.Symbolic.Regression/3.4/MultiObjective/SymbolicRegressionMultiObjectiveValidationBestSolutionAnalyzer.cs

@@ -65 +65 @@
 
     protected override ISymbolicRegressionSolution CreateSolution(ISymbolicExpressionTree bestTree, double[] bestQuality) {
-      var model = new SymbolicRegressionModel(bestTree, SymbolicDataAnalysisTreeInterpreterParameter.ActualValue, EstimationLimitsParameter.ActualValue.Lower, EstimationLimitsParameter.ActualValue.Upper);
+      var model = new SymbolicRegressionModel((ISymbolicExpressionTree)bestTree.Clone(), SymbolicDataAnalysisTreeInterpreterParameter.ActualValue, EstimationLimitsParameter.ActualValue.Lower, EstimationLimitsParameter.ActualValue.Upper);
       if (ApplyLinearScaling.Value)
         SymbolicRegressionModel.Scale(model, ProblemDataParameter.ActualValue);
-      return new SymbolicRegressionSolution(model, ProblemDataParameter.ActualValue);
+      return new SymbolicRegressionSolution(model, (IRegressionProblemData)ProblemDataParameter.ActualValue.Clone());
     }
   }