Changeset 5722 for branches/DataAnalysis Refactoring/HeuristicLab.Problems.DataAnalysis.Symbolic.Regression/3.4/MultiObjective/SymbolicRegressionMultiObjectiveTrainingBestSolutionAnalyzer.cs

Timestamp:

03/16/11 19:29:57 (13 years ago)

Author:

gkronber

Message:

#1418 fixed evaluator call from validation analyzers, fixed bugs in interactive simplifier view and added apply linear scaling flag to analyzers.

File:

• branches/DataAnalysis Refactoring/HeuristicLab.Problems.DataAnalysis.Symbolic.Regression/3.4/MultiObjective/SymbolicRegressionMultiObjectiveTrainingBestSolutionAnalyzer.cs (modified) (4 diffs)

branches/DataAnalysis Refactoring/HeuristicLab.Problems.DataAnalysis.Symbolic.Regression/3.4/MultiObjective/SymbolicRegressionMultiObjectiveTrainingBestSolutionAnalyzer.cs

@@ -43 +43 @@
     private const string UpperEstimationLimitParameterName = "UpperEstimationLimit";
     private const string LowerEstimationLimitParameterName = "LowerEstimationLimit";
+    private const string ApplyLinearScalingParameterName = "ApplyLinearScaling";
     #region parameter properties
     public ILookupParameter<IRegressionProblemData> ProblemDataParameter {
@@ -56 +57 @@
     public IValueLookupParameter<DoubleValue> LowerEstimationLimitParameter {
       get { return (IValueLookupParameter<DoubleValue>)Parameters[LowerEstimationLimitParameterName]; }
+    }
+    public IValueParameter<BoolValue> ApplyLinearScalingParameter {
+      get { return (IValueParameter<BoolValue>)Parameters[ApplyLinearScalingParameterName]; }
     }
     #endregion
@@ -72 +76 @@
       get { return LowerEstimationLimitParameter.ActualValue; }
     }
+    public BoolValue ApplyLinearScaling {
+      get { return ApplyLinearScalingParameter.Value; }
+    }
     #endregion
 
@@ -83 +90 @@
       Parameters.Add(new ValueLookupParameter<DoubleValue>(UpperEstimationLimitParameterName, "The upper limit for the estimated values produced by the symbolic regression model."));
       Parameters.Add(new ValueLookupParameter<DoubleValue>(LowerEstimationLimitParameterName, "The lower limit for the estimated values produced by the symbolic regression model."));
+      Parameters.Add(new ValueParameter<BoolValue>(ApplyLinearScalingParameterName, "Flag that indicates if the produced symbolic regression solution should be linearly scaled.", new BoolValue(false)));
     }