Changeset 14528

Timestamp:

12/25/16 13:55:35 (7 years ago)

Author:

gkronber

Message:

#2722 added an evaluator for symbolic regression models which calculates the likelihood that variable values are sampled from a zero mean Gaussian distribution where the variance is given by the model. This can be used to learn input-dependent variances.

Location:

trunk/sources/HeuristicLab.Problems.DataAnalysis.Symbolic.Regression/3.4

Files:

• HeuristicLab.Problems.DataAnalysis.Symbolic.Regression-3.4.csproj (modified) (1 diff)
• SingleObjective/Evaluators/SymbolicRegressionVarianceModelEvaluator.cs (added)

trunk/sources/HeuristicLab.Problems.DataAnalysis.Symbolic.Regression/3.4/HeuristicLab.Problems.DataAnalysis.Symbolic.Regression-3.4.csproj

@@ -129 +129 @@
     <Compile Include="Plugin.cs" />
     <Compile Include="SingleObjective\ConstantOptimizationAnalyzer.cs" />
+    <Compile Include="SingleObjective\Evaluators\SymbolicRegressionVarianceModelEvaluator.cs" />
     <Compile Include="SingleObjective\Evaluators\SymbolicRegressionMeanRelativeErrorEvaluator.cs" />
     <Compile Include="SingleObjective\SymbolicRegressionSolutionsAnalyzer.cs" />