Changeset 7027
- Timestamp:
- 11/21/11 16:31:44 (13 years ago)
- File:
-
- 1 edited
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trunk/sources/HeuristicLab.Problems.DataAnalysis.Symbolic.Classification.Views/3.4/InteractiveSymbolicDiscriminantFunctionClassificationSolutionSimplifierView.cs
r6803 r7027 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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