Changeset 13221 for branches/DataAnalysis.ComplexityAnalyzer/HeuristicLab.Problems.DataAnalysis.Symbolic.Regression/3.4/MultiObjective/SymbolicRegressionMultiObjectiveTrainingBestSolutionAnalyzer.cs

Timestamp:

11/17/15 15:57:52 (8 years ago)

Author:

mkommend

Message:

#2175: Removed unused features from complexity analysis.

File:

• branches/DataAnalysis.ComplexityAnalyzer/HeuristicLab.Problems.DataAnalysis.Symbolic.Regression/3.4/MultiObjective/SymbolicRegressionMultiObjectiveTrainingBestSolutionAnalyzer.cs (modified) (3 diffs)

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

@@ -96 +96 @@
     public override IOperation Apply() {
       var operation = base.Apply();
-
       var paretoFront = TrainingBestSolutionsParameter.ActualValue;
 
@@ -131 +130 @@
       }
 
-
-
       qualityToTreeSize.Rows.Clear();
       var trainingRow = new ScatterPlotDataRow("Training NMSE", "", sizeParetoFront.Select(x => new Point2D<double>(x.Model.SymbolicExpressionTree.Length, x.TrainingNormalizedMeanSquaredError)));
-      trainingRow.VisualProperties.PointSize = 5;
+      trainingRow.VisualProperties.PointSize = 8;
       qualityToTreeSize.Rows.Add(trainingRow);
 
@@ -147 +144 @@
           sizeParetoFront.Select(x => new Point2D<double>(x.Model.SymbolicExpressionTree.Length,
           OnlineNormalizedMeanSquaredErrorCalculator.Calculate(targetValues, x.GetEstimatedValues(validationIndizes), out error))));
-        validationRow.VisualProperties.PointSize = 5;
+        validationRow.VisualProperties.PointSize = 7;
         qualityToTreeSize.Rows.Add(validationRow);
       }
-
-      double trainingArea = sizeParetoFront.Select(s => s.Model.SymbolicExpressionTree.Length * s.TrainingNormalizedMeanSquaredError).Average();
-      double testArea = sizeParetoFront.Select(s => s.Model.SymbolicExpressionTree.Length * s.TestNormalizedMeanSquaredError).Average();
-
-      ResultCollection paretoFrontResults;
-      if (!ResultCollection.TryGetValue("Pareto Front Results", out result)) {
-        paretoFrontResults = new ResultCollection();
-        ResultCollection.Add(new Result("Pareto Front Results", paretoFrontResults));
-      } else paretoFrontResults = (ResultCollection)result.Value;
-
-      DoubleValue trainingAreaResult, testAreaResult, areaDifferenceResult, avgTrainingNMSE, avgTestNMSE;
-      if (!paretoFrontResults.TryGetValue("Non Dominated Area (training)", out result)) {
-        trainingAreaResult = new DoubleValue();
-        paretoFrontResults.Add(new Result("Non Dominated Area (training)", trainingAreaResult));
-      } else trainingAreaResult = (DoubleValue)result.Value;
-      if (!paretoFrontResults.TryGetValue("Non Dominated Area (test)", out result)) {
-        testAreaResult = new DoubleValue();
-        paretoFrontResults.Add(new Result("Non Dominated Area (test)", testAreaResult));
-      } else testAreaResult = (DoubleValue)result.Value;
-      if (!paretoFrontResults.TryGetValue("Non Dominated Area Difference", out result)) {
-        areaDifferenceResult = new DoubleValue();
-        paretoFrontResults.Add(new Result("Non Dominated Area Difference", areaDifferenceResult));
-      } else areaDifferenceResult = (DoubleValue)result.Value;
-      if (!paretoFrontResults.TryGetValue("Average Training NMSE", out result)) {
-        avgTrainingNMSE = new DoubleValue();
-        paretoFrontResults.Add(new Result("Average Training NMSE", avgTrainingNMSE));
-      } else avgTrainingNMSE = (DoubleValue)result.Value;
-      if (!paretoFrontResults.TryGetValue("Average Test NMSE", out result)) {
-        avgTestNMSE = new DoubleValue();
-        paretoFrontResults.Add(new Result("Average Test NMSE", avgTestNMSE));
-      } else avgTestNMSE = (DoubleValue)result.Value;
-
-      trainingAreaResult.Value = trainingArea;
-      testAreaResult.Value = testArea;
-      areaDifferenceResult.Value = trainingArea - testArea;
-      avgTrainingNMSE.Value = sizeParetoFront.Select(s => s.TrainingNormalizedMeanSquaredError).Average();
-      avgTestNMSE.Value = sizeParetoFront.Select(s => s.TestNormalizedMeanSquaredError).Average();
 
       return operation;