Changeset 4166 for trunk

Timestamp:

08/05/10 11:19:41 (14 years ago)

Author:

gkronber

Message:

Added MSE evaluator for multi-objective symb reg problems. #1118

Location:

trunk/sources/HeuristicLab.Problems.DataAnalysis.Regression/3.3

Files:

• HeuristicLab.Problems.DataAnalysis.Regression-3.3.csproj (modified) (1 diff)
• Symbolic/Evaluators/MultiObjectiveSymbolicRegressionMeanSquaredErrorEvaluator.cs (added)
• Symbolic/MultiObjectiveSymbolicRegressionProblem.cs (modified) (1 diff)

trunk/sources/HeuristicLab.Problems.DataAnalysis.Regression/3.3/HeuristicLab.Problems.DataAnalysis.Regression-3.3.csproj

@@ -129 +129 @@
     <Compile Include="Symbolic\Analyzers\SymbolicRegressionVariableFrequencyAnalyzer.cs" />
     <Compile Include="Symbolic\Analyzers\ValidationBestScaledSymbolicRegressionSolutionAnalyzer.cs" />
+    <Compile Include="Symbolic\Evaluators\MultiObjectiveSymbolicRegressionMeanSquaredErrorEvaluator.cs" />
     <Compile Include="Symbolic\Evaluators\MultiObjectiveSymbolicRegressionEvaluator.cs" />
     <Compile Include="Symbolic\Evaluators\MultiObjectiveSymbolicRegressionPearsonsRSquaredEvaluator.cs" />

trunk/sources/HeuristicLab.Problems.DataAnalysis.Regression/3.3/Symbolic/MultiObjectiveSymbolicRegressionProblem.cs

@@ -76 +76 @@
     public MultiObjectiveSymbolicRegressionProblem()
       : base() {
-      var evaluator = new MultiObjectiveSymbolicRegressionPearsonsRSquaredEvaluator();
-      Parameters.Add(new ValueParameter<BoolArray>("Maximization", "Set to false as the error of the regression model should be minimized.", new BoolArray(new bool[] { true, false })));
+      var evaluator = new MultiObjectiveSymbolicRegressionMeanSquaredErrorEvaluator();
+      Parameters.Add(new ValueParameter<BoolArray>("Maximization", "Set to false as the error of the regression model should be minimized.", new BoolArray(new bool[] { false, false })));
       Parameters.Add(new ValueParameter<IMultiObjectiveSymbolicRegressionEvaluator>("Evaluator", "The operator which should be used to evaluate symbolic regression solutions.", evaluator));