Changeset 10305 for branches/LogResidualEvaluator/HeuristicLab.Problems.DataAnalysis.Symbolic.Regression/3.4

Timestamp:

01/08/14 14:43:01 (11 years ago)

Author:

gkronber

Message:

#2093: changed log residual evaluator to calculate avg(log( 1 + abs(y - pred)))

File:

• branches/LogResidualEvaluator/HeuristicLab.Problems.DataAnalysis.Symbolic.Regression/3.4/SingleObjective/Evaluators/SymbolicRegressionLogResidualEvaluator.cs (modified) (2 diffs)

branches/LogResidualEvaluator/HeuristicLab.Problems.DataAnalysis.Symbolic.Regression/3.4/SingleObjective/Evaluators/SymbolicRegressionLogResidualEvaluator.cs

@@ -30 +30 @@
 
 namespace HeuristicLab.Problems.DataAnalysis.Symbolic.Regression {
-  [Item("Log Residual Evaluator", "Evaluator for symbolic regression models that calculates the mean of logarithmic absolute residuals avg(log(abs(y' - y)))." +
+  [Item("Log Residual Evaluator", "Evaluator for symbolic regression models that calculates the mean of logarithmic absolute residuals avg(log( 1 + abs(y' - y)))." +
                                   "This evaluator can be useful if the modeled function contains discontinuities (e.g. 1/x). " +
                                   "In preliminary experiments, we found that this improves success rates for data sets with a few very large/small target values " +
@@ -68 +68 @@
       IEnumerable<double> boundedEstimatedValues = estimatedValues.LimitToRange(lowerEstimationLimit, upperEstimationLimit);
 
-      var logRes = boundedEstimatedValues.Zip(targetValues, (e, t) => Math.Log(Math.Abs(e - t)));
+      var logRes = boundedEstimatedValues.Zip(targetValues, (e, t) => Math.Log(1.0 + Math.Abs(e - t)));
 
       OnlineCalculatorError errorState;