Changeset 7085 for branches/RegressionBenchmarks/HeuristicLab.Problems.DataAnalysis.Symbolic.Classification.Views/3.4/InteractiveSymbolicDiscriminantFunctionClassificationSolutionSimplifierView.cs
- Timestamp:
- 11/28/11 13:47:28 (13 years ago)
- Location:
- branches/RegressionBenchmarks
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- 2 edited
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branches/RegressionBenchmarks
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old new 4 4 *.suo 5 5 *.vsp 6 Doxygen 6 7 Google.ProtocolBuffers-0.9.1.dll 7 8 HeuristicLab 3.3.5.1.ReSharper.user 8 9 HeuristicLab 3.3.6.0.ReSharper.user 9 10 HeuristicLab.4.5.resharper.user 11 HeuristicLab.ExtLibs.6.0.ReSharper.user 10 12 HeuristicLab.resharper.user 11 13 ProtoGen.exe … … 16 18 bin 17 19 protoc.exe 18 HeuristicLab.ExtLibs.6.0.ReSharper.user19 Doxygen
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branches/RegressionBenchmarks/HeuristicLab.Problems.DataAnalysis.Symbolic.Classification.Views/3.4/InteractiveSymbolicDiscriminantFunctionClassificationSolutionSimplifierView.cs
r6803 r7085 51 51 protected override void UpdateModel(ISymbolicExpressionTree tree) { 52 52 Content.Model = new SymbolicDiscriminantFunctionClassificationModel(tree, Content.Model.Interpreter); 53 // the default policy for setting thresholds in classification models is the accuarcy maximizing policy 54 // however for performance reasons we must use estimations of the normal distribution cut points as the thresholds 55 // here and in CalculateImpactValues as they are a lot faster to calculate 56 Content.SetClassDistibutionCutPointThresholds(); 53 // the default policy for setting thresholds in classification models is the accuarcy maximizing policy. 54 // This is rather slow to calculate and can lead to a very laggy UI in the interactive solution simplifier. 55 // However, since we automatically prune sub-trees based on the threshold reaching the maximum accuracy we must 56 // also use maximum accuracy threshold calculation here in order to prevent incoherent behavior of the simplifier. 57 Content.SetAccuracyMaximizingThresholds(); 57 58 } 58 59
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