Changeset 8594 for trunk/sources/HeuristicLab.Problems.DataAnalysis.Symbolic.Classification.Views

Timestamp:

09/07/12 11:27:49 (12 years ago)

Author:

mkommend

Message:

#1940: Added support in symbolic classification for different methods to create the classification ModelCreator.

• Added ModelCreators
• Refactored SymbolicClassificationModel and SymbolicDiscriminantFunctionClassificationModel
• Added ModelCreatorParameter to Analyzers and Evaluators if needed
• Corrected wiring in symbolic classification problems (single- and multiobjective
• Adapted simplifier

File:

• trunk/sources/HeuristicLab.Problems.DataAnalysis.Symbolic.Classification.Views/3.4/InteractiveSymbolicDiscriminantFunctionClassificationSolutionSimplifierView.cs (modified) (1 diff)

trunk/sources/HeuristicLab.Problems.DataAnalysis.Symbolic.Classification.Views/3.4/InteractiveSymbolicDiscriminantFunctionClassificationSolutionSimplifierView.cs

@@ -50 +50 @@
 
     protected override void UpdateModel(ISymbolicExpressionTree tree) {
-      var model = new SymbolicDiscriminantFunctionClassificationModel(tree, Content.Model.Interpreter, Content.Model.LowerEstimationLimit, Content.Model.UpperEstimationLimit);
-      // the default policy for setting thresholds in classification models is the accuarcy maximizing policy.
-      // This is rather slow to calculate and can lead to a very laggy UI in the interactive solution simplifier.
-      // However, since we automatically prune sub-trees based on the threshold reaching the maximum accuracy we must
-      // also use maximum accuracy threshold calculation here in order to prevent incoherent behavior of the simplifier.
-      model.SetAccuracyMaximizingThresholds(Content.ProblemData);
+      var model = new SymbolicDiscriminantFunctionClassificationModel(tree, Content.Model.Interpreter, Content.Model.ThresholdCalculator, Content.Model.LowerEstimationLimit, Content.Model.UpperEstimationLimit);
+      model.RecalculateModelParameters(Content.ProblemData, Content.ProblemData.TrainingIndices);
       Content.Model = model;
     }