Changeset 10592 for stable

Timestamp:

03/12/14 21:03:01 (11 years ago)

Author:

mkommend

Message:

#2166: Merged r10576 and r10578 into stable.

Location:

stable

Files:

• . (modified) (1 prop)
• HeuristicLab.Problems.DataAnalysis.Symbolic (modified) (1 prop)
• HeuristicLab.Problems.DataAnalysis.Symbolic.Classification (modified) (1 prop)
• HeuristicLab.Problems.DataAnalysis.Symbolic.Classification/3.4/SingleObjective/SymbolicClassificationSingleObjectiveOverfittingAnalyzer.cs (modified) (1 diff)
• HeuristicLab.Problems.DataAnalysis.Symbolic.Regression (modified) (1 prop)
• HeuristicLab.Problems.DataAnalysis.Symbolic.Regression/3.4/SingleObjective/SymbolicRegressionSingleObjectiveOverfittingAnalyzer.cs (modified) (1 diff)
• HeuristicLab.Problems.DataAnalysis.Symbolic.TimeSeriesPrognosis/3.4/SingleObjective/SymbolicTimeSeriesPrognosisSingleObjectiveOverfittingAnalyzer.cs (modified) (1 diff)
• HeuristicLab.Problems.DataAnalysis.Symbolic/3.4/Analyzers/SymbolicDataAnalysisAlleleFrequencyAnalyzer.cs (modified) (1 diff)
• HeuristicLab.Problems.DataAnalysis.Symbolic/3.4/Analyzers/SymbolicDataAnalysisMultiObjectiveValidationBestSolutionAnalyzer.cs (modified) (1 diff)
• HeuristicLab.Problems.DataAnalysis.Symbolic/3.4/Analyzers/SymbolicDataAnalysisSingleObjectiveValidationBestSolutionAnalyzer.cs (modified) (1 diff)
• HeuristicLab.Problems.DataAnalysis.Symbolic/3.4/Analyzers/SymbolicDataAnalysisSingleObjectiveValidationParetoBestSolutionAnalyzer.cs (modified) (1 diff)
• HeuristicLab.Problems.DataAnalysis.Symbolic/3.4/Analyzers/SymbolicDataAnalysisVariableFrequencyAnalyzer.cs (modified) (1 diff)
• HeuristicLab.Tests (modified) (1 prop)
• HeuristicLab.Tests/HeuristicLab-3.3/SamplesTest.cs (modified) (2 diffs)

stable/HeuristicLab.Problems.DataAnalysis.Symbolic.Classification/3.4/SingleObjective/SymbolicClassificationSingleObjectiveOverfittingAnalyzer.cs

@@ -83 +83 @@
       IExecutionContext childContext = (IExecutionContext)ExecutionContext.CreateChildOperation(evaluator);
       double[] validationQuality = SymbolicExpressionTree
-        .AsParallel()
         .Select(t => evaluator.Evaluate(childContext, t, problemData, rows))
         .ToArray();

stable/HeuristicLab.Problems.DataAnalysis.Symbolic.Regression/3.4/SingleObjective/SymbolicRegressionSingleObjectiveOverfittingAnalyzer.cs

@@ -84 +84 @@
       IExecutionContext childContext = (IExecutionContext)ExecutionContext.CreateChildOperation(evaluator);
       double[] validationQuality = SymbolicExpressionTree
-        .AsParallel()
         .Select(t => evaluator.Evaluate(childContext, t, problemData, rows))
         .ToArray();

stable/HeuristicLab.Problems.DataAnalysis.Symbolic.TimeSeriesPrognosis/3.4/SingleObjective/SymbolicTimeSeriesPrognosisSingleObjectiveOverfittingAnalyzer.cs

@@ -84 +84 @@
       IExecutionContext childContext = (IExecutionContext)ExecutionContext.CreateChildOperation(evaluator);
       double[] validationQuality = SymbolicExpressionTree
-        .AsParallel()
         .Select(t => evaluator.Evaluate(childContext, t, problemData, rows))
         .ToArray();

stable/HeuristicLab.Problems.DataAnalysis.Symbolic/3.4/Analyzers/SymbolicDataAnalysisAlleleFrequencyAnalyzer.cs

@@ -75 +75 @@
     public static Allele[] CalculateAlleles(ISymbolicExpressionTree solution, int alleleTreedepth) {
       return GetAllSubtreesOfDepth(solution, alleleTreedepth)
-        .AsParallel()
         .Select(t => GetAlleleFromSubtreeOfDepth(t, alleleTreedepth))
         .ToArray();

stable/HeuristicLab.Problems.DataAnalysis.Symbolic/3.4/Analyzers/SymbolicDataAnalysisMultiObjectiveValidationBestSolutionAnalyzer.cs

@@ -121 +121 @@
 
       var qualities = tree
-        .AsParallel()
         .Select(t => evaluator.Evaluate(childContext, t, problemData, rows))
         .ToArray();

stable/HeuristicLab.Problems.DataAnalysis.Symbolic/3.4/Analyzers/SymbolicDataAnalysisSingleObjectiveValidationBestSolutionAnalyzer.cs

@@ -121 +121 @@
       var quality = tree
         .Take(topN)
-        .AsParallel()
         .Select(t => evaluator.Evaluate(childContext, t, problemData, rows))
         .ToArray();

stable/HeuristicLab.Problems.DataAnalysis.Symbolic/3.4/Analyzers/SymbolicDataAnalysisSingleObjectiveValidationParetoBestSolutionAnalyzer.cs

@@ -120 +120 @@
         .Select(i => tree[i])
         .Take(topN)
-        .AsParallel()
         .Select(t => evaluator.Evaluate(childContext, t, problemData, rows))
         .ToArray();

stable/HeuristicLab.Problems.DataAnalysis.Symbolic/3.4/Analyzers/SymbolicDataAnalysisVariableFrequencyAnalyzer.cs

@@ -131 +131 @@
 
       var variableFrequencies = trees
-        .AsParallel()
         .SelectMany(t => GetVariableReferences(t, aggregateLaggedVariables))
         .GroupBy(pair => pair.Key, pair => pair.Value)

stable/HeuristicLab.Tests/HeuristicLab-3.3/SamplesTest.cs

@@ -265 +265 @@
       Assert.AreEqual(0, GetDoubleResult(ga, "CurrentWorstQuality"), 1E-8);
       Assert.AreEqual(50950, GetIntResult(ga, "EvaluatedSolutions"));
+      var bestTrainingSolution = (IRegressionSolution)ga.Results["Best training solution"].Value;
+      Assert.AreEqual(0.85504801557844745, bestTrainingSolution.TrainingRSquared, 1E-8);
+      Assert.AreEqual(0.86259381948647817, bestTrainingSolution.TestRSquared, 1E-8);
+      var bestValidationSolution = (IRegressionSolution)ga.Results["Best validation solution"].Value;
+      Assert.AreEqual(0.84854338315539746, bestValidationSolution.TrainingRSquared, 1E-8);
+      Assert.AreEqual(0.8662813452656678, bestValidationSolution.TestRSquared, 1E-8);
     }
 
@@ -377 +383 @@
       Assert.AreEqual(0.80875, bestTrainingSolution.TrainingAccuracy, 1E-8);
       Assert.AreEqual(0.795031055900621, bestTrainingSolution.TestAccuracy, 1E-8);
+      var bestValidationSolution = (IClassificationSolution)ga.Results["Best validation solution"].Value;
+      Assert.AreEqual(0.81375, bestValidationSolution.TrainingAccuracy, 1E-8);
+      Assert.AreEqual(0.788819875776398, bestValidationSolution.TestAccuracy, 1E-8);
     }