Changeset 8664 for trunk/sources/HeuristicLab.Problems.DataAnalysis.Symbolic.Classification/3.4/SingleObjective/SymbolicClassificationSingleObjectivePenaltyScoreEvaluator.cs

Timestamp:

09/17/12 11:18:40 (12 years ago)

Author:

mkommend

Message:

#1951:

• Added linear scaling parameter to data analysis problems.
• Adapted interfaces, evaluators and analyzers accordingly.
• Added OnlineBoundedMeanSquaredErrorCalculator.
• Adapted symbolic regression sample unit test.

File:

• trunk/sources/HeuristicLab.Problems.DataAnalysis.Symbolic.Classification/3.4/SingleObjective/SymbolicClassificationSingleObjectivePenaltyScoreEvaluator.cs (modified) (2 diffs)

trunk/sources/HeuristicLab.Problems.DataAnalysis.Symbolic.Classification/3.4/SingleObjective/SymbolicClassificationSingleObjectivePenaltyScoreEvaluator.cs

@@ -86 +86 @@
       EstimationLimitsParameter.ExecutionContext = context;
       ModelCreatorParameter.ExecutionContext = context;
+      ApplyLinearScalingParameter.ExecutionContext = context;
 
       var model = ModelCreatorParameter.ActualValue.CreateSymbolicClassificationModel(tree, SymbolicDataAnalysisTreeInterpreterParameter.ActualValue, EstimationLimitsParameter.ActualValue.Lower, EstimationLimitsParameter.ActualValue.Upper);
+      if (ApplyLinearScalingParameter.ActualValue.Value) SymbolicClassificationModel.Scale(model, problemData, problemData.TargetVariable);
       model.RecalculateModelParameters(problemData, rows);
       double penalty = Calculate(model, problemData, rows);
@@ -94 +96 @@
       EstimationLimitsParameter.ExecutionContext = null;
       ModelCreatorParameter.ExecutionContext = null;
+      ApplyLinearScalingParameter.ExecutionContext = null;
 
       return penalty;