Changeset 10507 for stable/HeuristicLab.Problems.DataAnalysis.Symbolic.Regression/3.4/MultiObjective
- Timestamp:
- 02/25/14 14:00:47 (11 years ago)
- Location:
- stable
- Files:
-
- 4 edited
Legend:
- Unmodified
- Added
- Removed
-
stable
- Property svn:mergeinfo changed
/trunk/sources merged: 10149,10231,10261,10291-10292,10295,10298
- Property svn:mergeinfo changed
-
stable/HeuristicLab.Problems.DataAnalysis.Symbolic.Regression
- Property svn:mergeinfo changed
/trunk/sources/HeuristicLab.Problems.DataAnalysis.Symbolic.Regression merged: 10291
- Property svn:mergeinfo changed
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stable/HeuristicLab.Problems.DataAnalysis.Symbolic.Regression/3.4/MultiObjective/SymbolicRegressionMultiObjectiveMeanSquaredErrorTreeSizeEvaluator.cs
r9456 r10507 44 44 public override IEnumerable<bool> Maximization { get { return new bool[2] { false, false }; } } 45 45 46 public override Core.IOperationApply() {46 public override IOperation InstrumentedApply() { 47 47 IEnumerable<int> rows = GenerateRowsToEvaluate(); 48 48 var solution = SymbolicExpressionTreeParameter.ActualValue; 49 49 double[] qualities = Calculate(SymbolicDataAnalysisTreeInterpreterParameter.ActualValue, solution, EstimationLimitsParameter.ActualValue.Lower, EstimationLimitsParameter.ActualValue.Upper, ProblemDataParameter.ActualValue, rows, ApplyLinearScalingParameter.ActualValue.Value); 50 50 QualitiesParameter.ActualValue = new DoubleArray(qualities); 51 return base. Apply();51 return base.InstrumentedApply(); 52 52 } 53 53 -
stable/HeuristicLab.Problems.DataAnalysis.Symbolic.Regression/3.4/MultiObjective/SymbolicRegressionMultiObjectivePearsonRSquaredTreeSizeEvaluator.cs
r9456 r10507 44 44 public override IEnumerable<bool> Maximization { get { return new bool[2] { true, false }; } } 45 45 46 public override IOperation Apply() {46 public override IOperation InstrumentedApply() { 47 47 IEnumerable<int> rows = GenerateRowsToEvaluate(); 48 48 var solution = SymbolicExpressionTreeParameter.ActualValue; 49 49 double[] qualities = Calculate(SymbolicDataAnalysisTreeInterpreterParameter.ActualValue, solution, EstimationLimitsParameter.ActualValue.Lower, EstimationLimitsParameter.ActualValue.Upper, ProblemDataParameter.ActualValue, rows, ApplyLinearScalingParameter.ActualValue.Value); 50 50 QualitiesParameter.ActualValue = new DoubleArray(qualities); 51 return base. Apply();51 return base.InstrumentedApply(); 52 52 } 53 53
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