Changeset 13368 for branches/PersistenceOverhaul/HeuristicLab.Problems.DataAnalysis.Symbolic.Regression

Timestamp:

11/24/15 17:08:13 (8 years ago)

Author:

ascheibe

Message:

#2520 added guids to storable classes

Location:

branches/PersistenceOverhaul/HeuristicLab.Problems.DataAnalysis.Symbolic.Regression/3.4

Files:

• MultiObjective/PearsonRSquaredNestedTreeSizeEvaluator.cs (modified) (3 diffs)
• MultiObjective/PearsonRSquaredNumberOfVariablesEvaluator.cs (modified) (3 diffs)
• MultiObjective/PearsonRSquaredTreeComplexityEvaluator.cs (modified) (3 diffs)
• MultiObjective/SymbolicRegressionMultiObjectiveEvaluator.cs (modified) (2 diffs)
• MultiObjective/SymbolicRegressionMultiObjectiveMeanSquaredErrorTreeSizeEvaluator.cs (modified) (2 diffs)
• MultiObjective/SymbolicRegressionMultiObjectivePearsonRSquaredTreeSizeEvaluator.cs (modified) (2 diffs)
• MultiObjective/SymbolicRegressionMultiObjectiveProblem.cs (modified) (2 diffs)
• MultiObjective/SymbolicRegressionMultiObjectiveTrainingBestSolutionAnalyzer.cs (modified) (1 diff)
• MultiObjective/SymbolicRegressionMultiObjectiveValidationBestSolutionAnalyzer.cs (modified) (1 diff)
• SingleObjective/ConstantOptimizationAnalyzer.cs (modified) (2 diffs)
• SingleObjective/Evaluators/SymbolicRegressionConstantOptimizationEvaluator.cs (modified) (2 diffs)
• SingleObjective/Evaluators/SymbolicRegressionLogResidualEvaluator.cs (modified) (2 diffs)
• SingleObjective/Evaluators/SymbolicRegressionMeanRelativeErrorEvaluator.cs (modified) (2 diffs)
• SingleObjective/Evaluators/SymbolicRegressionSingleObjectiveEvaluator.cs (modified) (2 diffs)
• SingleObjective/Evaluators/SymbolicRegressionSingleObjectiveMaxAbsoluteErrorEvaluator.cs (modified) (2 diffs)
• SingleObjective/Evaluators/SymbolicRegressionSingleObjectiveMeanAbsoluteErrorEvaluator.cs (modified) (2 diffs)
• SingleObjective/Evaluators/SymbolicRegressionSingleObjectiveMeanSquaredErrorEvaluator.cs (modified) (2 diffs)
• SingleObjective/Evaluators/SymbolicRegressionSingleObjectivePearsonRSquaredEvaluator.cs (modified) (2 diffs)
• SingleObjective/SymbolicRegressionSingleObjectiveOverfittingAnalyzer.cs (modified) (1 diff)
• SingleObjective/SymbolicRegressionSingleObjectiveProblem.cs (modified) (2 diffs)
• SingleObjective/SymbolicRegressionSingleObjectiveTrainingBestSolutionAnalyzer.cs (modified) (1 diff)
• SingleObjective/SymbolicRegressionSingleObjectiveTrainingParetoBestSolutionAnalyzer.cs (modified) (1 diff)
• SingleObjective/SymbolicRegressionSingleObjectiveValidationBestSolutionAnalyzer.cs (modified) (1 diff)
• SingleObjective/SymbolicRegressionSingleObjectiveValidationParetoBestSolutionAnalyzer.cs (modified) (1 diff)
• SymbolicRegressionModel.cs (modified) (1 diff)
• SymbolicRegressionPhenotypicDiversityAnalyzer.cs (modified) (2 diffs)
• SymbolicRegressionPruningAnalyzer.cs (modified) (2 diffs)
• SymbolicRegressionPruningOperator.cs (modified) (2 diffs)
• SymbolicRegressionSolution.cs (modified) (1 diff)
• SymbolicRegressionSolutionImpactValuesCalculator.cs (modified) (2 diffs)

branches/PersistenceOverhaul/HeuristicLab.Problems.DataAnalysis.Symbolic.Regression/3.4/MultiObjective/PearsonRSquaredNestedTreeSizeEvaluator.cs

@@ -1 @@
-#region License Information
+#region License Information
 /* HeuristicLab
  * Copyright (C) 2002-2015 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
@@ -30 +30 @@
 
 namespace HeuristicLab.Problems.DataAnalysis.Symbolic.Regression {
-  [Item("Pearson R² & Nested Tree size Evaluator", "Calculates the Pearson R² and the nested tree size of a symbolic regression solution.")]
-  [StorableClass]
+  [Item("Pearson R² & Nested Tree size Evaluator", "Calculates the Pearson R² and the nested tree size of a symbolic regression solution.")]
+  [StorableClass("FD91E2F8-D97A-4467-BA7D-17A78FEBA485")]
   public class PearsonRSquaredNestedTreeSizeEvaluator : SymbolicRegressionMultiObjectiveEvaluator {
     [StorableConstructor]
@@ -44 +44 @@
     public PearsonRSquaredNestedTreeSizeEvaluator() : base() { }
 
-    public override IEnumerable<bool> Maximization { get { return new bool[2] { true, false }; } } // maximize R² & minimize nested tree size
+    public override IEnumerable<bool> Maximization { get { return new bool[2] { true, false }; } } // maximize R² & minimize nested tree size
 
     public override IOperation InstrumentedApply() {

branches/PersistenceOverhaul/HeuristicLab.Problems.DataAnalysis.Symbolic.Regression/3.4/MultiObjective/PearsonRSquaredNumberOfVariablesEvaluator.cs

@@ -1 @@
-#region License Information
+#region License Information
 /* HeuristicLab
  * Copyright (C) 2002-2015 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
@@ -30 +30 @@
 
 namespace HeuristicLab.Problems.DataAnalysis.Symbolic.Regression {
-  [Item("Pearson R² & Number of Variables Evaluator", "Calculates the Pearson R² and the number of used variables of a symbolic regression solution.")]
-  [StorableClass]
+  [Item("Pearson R² & Number of Variables Evaluator", "Calculates the Pearson R² and the number of used variables of a symbolic regression solution.")]
+  [StorableClass("C63C8616-1710-43AB-B42F-74ACA17C4556")]
   public class PearsonRSquaredNumberOfVariablesEvaluator : SymbolicRegressionMultiObjectiveEvaluator {
     [StorableConstructor]
@@ -44 +44 @@
     public PearsonRSquaredNumberOfVariablesEvaluator() : base() { }
 
-    public override IEnumerable<bool> Maximization { get { return new bool[2] { true, false }; } } // maximize R² and minimize the number of variables
+    public override IEnumerable<bool> Maximization { get { return new bool[2] { true, false }; } } // maximize R² and minimize the number of variables
 
     public override IOperation InstrumentedApply() {

branches/PersistenceOverhaul/HeuristicLab.Problems.DataAnalysis.Symbolic.Regression/3.4/MultiObjective/PearsonRSquaredTreeComplexityEvaluator.cs

@@ -1 @@
-#region License Information
+#region License Information
 /* HeuristicLab
  * Copyright (C) 2002-2015 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
@@ -29 +29 @@
 
 namespace HeuristicLab.Problems.DataAnalysis.Symbolic.Regression {
-  [Item("Pearson R² & Tree Complexity Evaluator", "Calculates the Pearson R² and the tree complexity of a symbolic regression solution.")]
-  [StorableClass]
+  [Item("Pearson R² & Tree Complexity Evaluator", "Calculates the Pearson R² and the tree complexity of a symbolic regression solution.")]
+  [StorableClass("D8DB8549-2982-48DF-B33F-53506D9917C1")]
   public class PearsonRSquaredTreeComplexityEvaluator : SymbolicRegressionMultiObjectiveEvaluator {
     [StorableConstructor]
@@ -43 +43 @@
     public PearsonRSquaredTreeComplexityEvaluator() : base() { }
 
-    public override IEnumerable<bool> Maximization { get { return new bool[2] { true, false }; } } // maximize R² and minimize model complexity 
+    public override IEnumerable<bool> Maximization { get { return new bool[2] { true, false }; } } // maximize R² and minimize model complexity 
 
     public override IOperation InstrumentedApply() {

branches/PersistenceOverhaul/HeuristicLab.Problems.DataAnalysis.Symbolic.Regression/3.4/MultiObjective/SymbolicRegressionMultiObjectiveEvaluator.cs

@@ -1 @@
-#region License Information
+#region License Information
 /* HeuristicLab
  * Copyright (C) 2002-2015 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
@@ -28 +28 @@
 
 namespace HeuristicLab.Problems.DataAnalysis.Symbolic.Regression {
-  [StorableClass]
+  [StorableClass("770FC9B3-8457-47AE-AEB8-C31C0872DD5A")]
   public abstract class SymbolicRegressionMultiObjectiveEvaluator : SymbolicDataAnalysisMultiObjectiveEvaluator<IRegressionProblemData>, ISymbolicRegressionMultiObjectiveEvaluator {
     private const string DecimalPlacesParameterName = "Decimal Places";

branches/PersistenceOverhaul/HeuristicLab.Problems.DataAnalysis.Symbolic.Regression/3.4/MultiObjective/SymbolicRegressionMultiObjectiveMeanSquaredErrorTreeSizeEvaluator.cs

@@ -1 @@
-#region License Information
+#region License Information
 /* HeuristicLab
  * Copyright (C) 2002-2015 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
@@ -30 +30 @@
 namespace HeuristicLab.Problems.DataAnalysis.Symbolic.Regression {
   [Item("Mean squared error & Tree size Evaluator", "Calculates the mean squared error and the tree size of a symbolic regression solution.")]
-  [StorableClass]
+  [StorableClass("668CBA0D-FD5A-4BFD-B399-0DF6F4090176")]
   public class SymbolicRegressionMultiObjectiveMeanSquaredErrorSolutionSizeEvaluator : SymbolicRegressionMultiObjectiveEvaluator {
     [StorableConstructor]

branches/PersistenceOverhaul/HeuristicLab.Problems.DataAnalysis.Symbolic.Regression/3.4/MultiObjective/SymbolicRegressionMultiObjectivePearsonRSquaredTreeSizeEvaluator.cs

@@ -1 @@
-#region License Information
+#region License Information
 /* HeuristicLab
  * Copyright (C) 2002-2015 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
@@ -29 +29 @@
 
 namespace HeuristicLab.Problems.DataAnalysis.Symbolic.Regression {
-  [Item("Pearson R² & Tree size Evaluator", "Calculates the Pearson R² and the tree size of a symbolic regression solution.")]
-  [StorableClass]
+  [Item("Pearson R² & Tree size Evaluator", "Calculates the Pearson R² and the tree size of a symbolic regression solution.")]
+  [StorableClass("C3BECC8D-6FA7-43B0-82B9-E8BEAC23F22D")]
   public class SymbolicRegressionMultiObjectivePearsonRSquaredTreeSizeEvaluator : SymbolicRegressionMultiObjectiveEvaluator {
     [StorableConstructor]

branches/PersistenceOverhaul/HeuristicLab.Problems.DataAnalysis.Symbolic.Regression/3.4/MultiObjective/SymbolicRegressionMultiObjectiveProblem.cs

@@ -1 @@
-#region License Information
+#region License Information
 /* HeuristicLab
  * Copyright (C) 2002-2015 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
@@ -30 +30 @@
 namespace HeuristicLab.Problems.DataAnalysis.Symbolic.Regression {
   [Item("Symbolic Regression Problem (multi-objective)", "Represents a multi objective symbolic regression problem.")]
-  [StorableClass]
+  [StorableClass("89555BC1-26BD-445E-8E06-C27B4602479E")]
   [Creatable(CreatableAttribute.Categories.GeneticProgrammingProblems, Priority = 110)]
   public class SymbolicRegressionMultiObjectiveProblem : SymbolicDataAnalysisMultiObjectiveProblem<IRegressionProblemData, ISymbolicRegressionMultiObjectiveEvaluator, ISymbolicDataAnalysisSolutionCreator>, IRegressionProblem {

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

@@ -36 +36 @@
   /// </summary>
   [Item("SymbolicRegressionMultiObjectiveTrainingBestSolutionAnalyzer", "An operator that analyzes the training best symbolic regression solution for multi objective symbolic regression problems.")]
-  [StorableClass]
+  [StorableClass("F9AA824E-BDF7-40FB-A348-D746510B500F")]
   public sealed class SymbolicRegressionMultiObjectiveTrainingBestSolutionAnalyzer : SymbolicDataAnalysisMultiObjectiveTrainingBestSolutionAnalyzer<ISymbolicRegressionSolution>,
     ISymbolicDataAnalysisInterpreterOperator, ISymbolicDataAnalysisBoundedOperator {

branches/PersistenceOverhaul/HeuristicLab.Problems.DataAnalysis.Symbolic.Regression/3.4/MultiObjective/SymbolicRegressionMultiObjectiveValidationBestSolutionAnalyzer.cs

@@ -31 +31 @@
   /// </summary>
   [Item("SymbolicRegressionMultiObjectiveValidationBestSolutionAnalyzer", "An operator that analyzes the validation best symbolic regression solution for multi objective symbolic regression problems.")]
-  [StorableClass]
+  [StorableClass("42E9FBC1-AEB3-4E6C-A202-2AE133C2F701")]
   public sealed class SymbolicRegressionMultiObjectiveValidationBestSolutionAnalyzer : SymbolicDataAnalysisMultiObjectiveValidationBestSolutionAnalyzer<ISymbolicRegressionSolution, ISymbolicRegressionMultiObjectiveEvaluator, IRegressionProblemData>,
     ISymbolicDataAnalysisBoundedOperator {

branches/PersistenceOverhaul/HeuristicLab.Problems.DataAnalysis.Symbolic.Regression/3.4/SingleObjective/ConstantOptimizationAnalyzer.cs

@@ -35 +35 @@
   /// </summary>
   [Item("ConstantOptimizationAnalyzer", "An operator that performs a constant optimization on the best symbolic expression trees.")]
-  [StorableClass]
+  [StorableClass("448FC073-3786-4F4A-A607-5076219315BA")]
   public sealed class ConstantOptimizationAnalyzer : SymbolicDataAnalysisSingleObjectiveAnalyzer, IStatefulItem {
     private const string PercentageOfBestSolutionsParameterName = "PercentageOfBestSolutions";
@@ -148 +148 @@
         var dataTable = new DataTable(DataTableNameConstantOptimizationImprovement);
         ResultCollection.Add(new Result(DataTableNameConstantOptimizationImprovement, dataTable));
-        dataTable.VisualProperties.YAxisTitle = "R²";
+        dataTable.VisualProperties.YAxisTitle = "Rￜ";
 
         dataTable.Rows.Add(new DataRow(DataRowNameMinimumImprovement));

branches/PersistenceOverhaul/HeuristicLab.Problems.DataAnalysis.Symbolic.Regression/3.4/SingleObjective/Evaluators/SymbolicRegressionConstantOptimizationEvaluator.cs

@@ -32 +32 @@
 
 namespace HeuristicLab.Problems.DataAnalysis.Symbolic.Regression {
-  [Item("Constant Optimization Evaluator", "Calculates Pearson R² of a symbolic regression solution and optimizes the constant used.")]
-  [StorableClass]
+  [Item("Constant Optimization Evaluator", "Calculates Pearson Rￜ of a symbolic regression solution and optimizes the constant used.")]
+  [StorableClass("CECB2610-E33A-4E96-9EE4-D913383298D0")]
   public class SymbolicRegressionConstantOptimizationEvaluator : SymbolicRegressionSingleObjectiveEvaluator {
     private const string ConstantOptimizationIterationsParameterName = "ConstantOptimizationIterations";
@@ -129 +129 @@
       ApplyLinearScalingParameter.ExecutionContext = context;
 
-      // Pearson R² evaluator is used on purpose instead of the const-opt evaluator, 
+      // Pearson Rￜ evaluator is used on purpose instead of the const-opt evaluator, 
       // because Evaluate() is used to get the quality of evolved models on 
       // different partitions of the dataset (e.g., best validation model)

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

@@ -1 @@
-#region License Information
+#region License Information
 /* HeuristicLab
  * Copyright (C) 2002-2015 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
@@ -38 +38 @@
                                   "This effects GP convergence because functional fragments which are necessary to explain small variations are also more likely" +
                                   " to stay in the population. This is useful even when the actual objective function is mean of squared errors.")]
-  [StorableClass]
+  [StorableClass("E1BDAF3F-70F7-48F1-B3EC-9B20C4A64A0E")]
   public class SymbolicRegressionLogResidualEvaluator : SymbolicRegressionSingleObjectiveEvaluator {
     [StorableConstructor]

branches/PersistenceOverhaul/HeuristicLab.Problems.DataAnalysis.Symbolic.Regression/3.4/SingleObjective/Evaluators/SymbolicRegressionMeanRelativeErrorEvaluator.cs

@@ -1 @@
-#region License Information
+#region License Information
 /* HeuristicLab
  * Copyright (C) 2002-2015 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
@@ -33 +33 @@
                                          "The +1 is necessary to handle data with the value of 0.0 correctly. " +
                                          "Notice: Linear scaling is ignored for this evaluator.")]
-  [StorableClass]
+  [StorableClass("C786AB98-ABF7-4753-8E66-B342476076EA")]
   public class SymbolicRegressionMeanRelativeErrorEvaluator : SymbolicRegressionSingleObjectiveEvaluator {
     public override bool Maximization { get { return false; } }

branches/PersistenceOverhaul/HeuristicLab.Problems.DataAnalysis.Symbolic.Regression/3.4/SingleObjective/Evaluators/SymbolicRegressionSingleObjectiveEvaluator.cs

@@ -1 @@
-#region License Information
+#region License Information
 /* HeuristicLab
  * Copyright (C) 2002-2015 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
@@ -29 +29 @@
 using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
 namespace HeuristicLab.Problems.DataAnalysis.Symbolic.Regression {
-  [StorableClass]
+  [StorableClass("78935B8F-2DE5-4E40-830D-E6843CAFFC4A")]
   public abstract class SymbolicRegressionSingleObjectiveEvaluator : SymbolicDataAnalysisSingleObjectiveEvaluator<IRegressionProblemData>, ISymbolicRegressionSingleObjectiveEvaluator {  
     [StorableConstructor]

branches/PersistenceOverhaul/HeuristicLab.Problems.DataAnalysis.Symbolic.Regression/3.4/SingleObjective/Evaluators/SymbolicRegressionSingleObjectiveMaxAbsoluteErrorEvaluator.cs

@@ -1 @@
-#region License Information
+#region License Information
 /* HeuristicLab
  * Copyright (C) 2002-2015 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
@@ -29 +29 @@
 namespace HeuristicLab.Problems.DataAnalysis.Symbolic.Regression {
   [Item("Maximum absolute error Evaluator", "Calculates the maximum squared error of a symbolic regression solution.")]
-  [StorableClass]
+  [StorableClass("1D6C4F52-B4A7-4050-A1C9-9B0222ED103A")]
   public class SymbolicRegressionSingleObjectiveMaxAbsoluteErrorEvaluator : SymbolicRegressionSingleObjectiveEvaluator {
     public override bool Maximization { get { return false; } }

branches/PersistenceOverhaul/HeuristicLab.Problems.DataAnalysis.Symbolic.Regression/3.4/SingleObjective/Evaluators/SymbolicRegressionSingleObjectiveMeanAbsoluteErrorEvaluator.cs

@@ -1 @@
-#region License Information
+#region License Information
 /* HeuristicLab
  * Copyright (C) 2002-2015 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
@@ -29 +29 @@
 namespace HeuristicLab.Problems.DataAnalysis.Symbolic.Regression {
   [Item("Mean absolute error Evaluator", "Calculates the mean absolute error of a symbolic regression solution.")]
-  [StorableClass]
+  [StorableClass("F612CD5C-BCAA-44DF-BE0C-FBF31161F382")]
   public class SymbolicRegressionSingleObjectiveMeanAbsoluteErrorEvaluator : SymbolicRegressionSingleObjectiveEvaluator {
     public override bool Maximization { get { return false; } }

branches/PersistenceOverhaul/HeuristicLab.Problems.DataAnalysis.Symbolic.Regression/3.4/SingleObjective/Evaluators/SymbolicRegressionSingleObjectiveMeanSquaredErrorEvaluator.cs

@@ -1 @@
-#region License Information
+#region License Information
 /* HeuristicLab
  * Copyright (C) 2002-2015 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
@@ -29 +29 @@
 namespace HeuristicLab.Problems.DataAnalysis.Symbolic.Regression {
   [Item("Mean squared error Evaluator", "Calculates the mean squared error of a symbolic regression solution.")]
-  [StorableClass]
+  [StorableClass("3B51DFFF-D896-48BF-81EA-DFD073727B4E")]
   public class SymbolicRegressionSingleObjectiveMeanSquaredErrorEvaluator : SymbolicRegressionSingleObjectiveEvaluator {
     public override bool Maximization { get { return false; } }

branches/PersistenceOverhaul/HeuristicLab.Problems.DataAnalysis.Symbolic.Regression/3.4/SingleObjective/Evaluators/SymbolicRegressionSingleObjectivePearsonRSquaredEvaluator.cs

@@ -1 @@
-#region License Information
+#region License Information
 /* HeuristicLab
  * Copyright (C) 2002-2015 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
@@ -28 +28 @@
 
 namespace HeuristicLab.Problems.DataAnalysis.Symbolic.Regression {
-  [Item("Pearson R² Evaluator", "Calculates the square of the pearson correlation coefficient (also known as coefficient of determination) of a symbolic regression solution.")]
-  [StorableClass]
+  [Item("Pearson R² Evaluator", "Calculates the square of the pearson correlation coefficient (also known as coefficient of determination) of a symbolic regression solution.")]
+  [StorableClass("D0FF085B-8944-4804-937D-EF0E02696F63")]
   public class SymbolicRegressionSingleObjectivePearsonRSquaredEvaluator : SymbolicRegressionSingleObjectiveEvaluator {
     [StorableConstructor]

branches/PersistenceOverhaul/HeuristicLab.Problems.DataAnalysis.Symbolic.Regression/3.4/SingleObjective/SymbolicRegressionSingleObjectiveOverfittingAnalyzer.cs

@@ -32 +32 @@
 namespace HeuristicLab.Problems.DataAnalysis.Symbolic.Regression {
   [Item("SymbolicRegressionSingleObjectiveOverfittingAnalyzer", "Calculates and tracks correlation of training and validation fitness of symbolic regression models.")]
-  [StorableClass]
+  [StorableClass("2A8E831F-1699-4839-BE70-C5D7EEC88274")]
   public sealed class SymbolicRegressionSingleObjectiveOverfittingAnalyzer : SymbolicDataAnalysisSingleObjectiveValidationAnalyzer<ISymbolicRegressionSingleObjectiveEvaluator, IRegressionProblemData> {
     private const string TrainingValidationCorrelationParameterName = "Training and validation fitness correlation";

branches/PersistenceOverhaul/HeuristicLab.Problems.DataAnalysis.Symbolic.Regression/3.4/SingleObjective/SymbolicRegressionSingleObjectiveProblem.cs

@@ -1 @@
-#region License Information
+#region License Information
 /* HeuristicLab
  * Copyright (C) 2002-2015 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
@@ -29 +29 @@
 namespace HeuristicLab.Problems.DataAnalysis.Symbolic.Regression {
   [Item("Symbolic Regression Problem (single-objective)", "Represents a single objective symbolic regression problem.")]
-  [StorableClass]
+  [StorableClass("0B22E9EB-8D91-4FE0-BAD8-6A8E4FBB5BA5")]
   [Creatable(CreatableAttribute.Categories.GeneticProgrammingProblems, Priority = 100)]
   public class SymbolicRegressionSingleObjectiveProblem : SymbolicDataAnalysisSingleObjectiveProblem<IRegressionProblemData, ISymbolicRegressionSingleObjectiveEvaluator, ISymbolicDataAnalysisSolutionCreator>, IRegressionProblem {

branches/PersistenceOverhaul/HeuristicLab.Problems.DataAnalysis.Symbolic.Regression/3.4/SingleObjective/SymbolicRegressionSingleObjectiveTrainingBestSolutionAnalyzer.cs

@@ -31 +31 @@
   /// </summary>
   [Item("SymbolicRegressionSingleObjectiveTrainingBestSolutionAnalyzer", "An operator that analyzes the training best symbolic regression solution for single objective symbolic regression problems.")]
-  [StorableClass]
+  [StorableClass("C49ECF97-672D-4A17-B302-BE28132A4D44")]
   public sealed class SymbolicRegressionSingleObjectiveTrainingBestSolutionAnalyzer : SymbolicDataAnalysisSingleObjectiveTrainingBestSolutionAnalyzer<ISymbolicRegressionSolution>,
   ISymbolicDataAnalysisInterpreterOperator, ISymbolicDataAnalysisBoundedOperator {

branches/PersistenceOverhaul/HeuristicLab.Problems.DataAnalysis.Symbolic.Regression/3.4/SingleObjective/SymbolicRegressionSingleObjectiveTrainingParetoBestSolutionAnalyzer.cs

@@ -30 +30 @@
   /// </summary>
   [Item("SymbolicRegressionSingleObjectiveTrainingParetoBestSolutionAnalyzer", "An operator that collects the training Pareto-best symbolic regression solutions for single objective symbolic regression problems.")]
-  [StorableClass]
+  [StorableClass("C0BE7774-4786-418C-85EC-7ACE36F58CEA")]
   public sealed class SymbolicRegressionSingleObjectiveTrainingParetoBestSolutionAnalyzer : SymbolicDataAnalysisSingleObjectiveTrainingParetoBestSolutionAnalyzer<IRegressionProblemData, ISymbolicRegressionSolution> {
 

branches/PersistenceOverhaul/HeuristicLab.Problems.DataAnalysis.Symbolic.Regression/3.4/SingleObjective/SymbolicRegressionSingleObjectiveValidationBestSolutionAnalyzer.cs

@@ -31 +31 @@
   /// </summary>
   [Item("SymbolicRegressionSingleObjectiveValidationBestSolutionAnalyzer", "An operator that analyzes the validation best symbolic regression solution for single objective symbolic regression problems.")]
-  [StorableClass]
+  [StorableClass("4FD56704-216A-4248-98C1-5CBEAF584D2C")]
   public sealed class SymbolicRegressionSingleObjectiveValidationBestSolutionAnalyzer : SymbolicDataAnalysisSingleObjectiveValidationBestSolutionAnalyzer<ISymbolicRegressionSolution, ISymbolicRegressionSingleObjectiveEvaluator, IRegressionProblemData>,
     ISymbolicDataAnalysisBoundedOperator {

branches/PersistenceOverhaul/HeuristicLab.Problems.DataAnalysis.Symbolic.Regression/3.4/SingleObjective/SymbolicRegressionSingleObjectiveValidationParetoBestSolutionAnalyzer.cs

@@ -30 +30 @@
   /// </summary>
   [Item("SymbolicRegressionSingleObjectiveValidationParetoBestSolutionAnalyzer", "An operator that collects the validation Pareto-best symbolic regression solutions for single objective symbolic regression problems.")]
-  [StorableClass]
+  [StorableClass("14D1C917-F105-4329-A93C-A4207E5E1CED")]
   public sealed class SymbolicRegressionSingleObjectiveValidationParetoBestSolutionAnalyzer : SymbolicDataAnalysisSingleObjectiveValidationParetoBestSolutionAnalyzer<ISymbolicRegressionSolution, ISymbolicRegressionSingleObjectiveEvaluator, IRegressionProblemData> {
     [StorableConstructor]

branches/PersistenceOverhaul/HeuristicLab.Problems.DataAnalysis.Symbolic.Regression/3.4/SymbolicRegressionModel.cs

@@ -30 +30 @@
   /// Represents a symbolic regression model
   /// </summary>
-  [StorableClass]
+  [StorableClass("6C6A5745-B044-4D3A-BD50-9190ED68C7B1")]
   [Item(Name = "Symbolic Regression Model", Description = "Represents a symbolic regression model.")]
   public class SymbolicRegressionModel : SymbolicDataAnalysisModel, ISymbolicRegressionModel {

branches/PersistenceOverhaul/HeuristicLab.Problems.DataAnalysis.Symbolic.Regression/3.4/SymbolicRegressionPhenotypicDiversityAnalyzer.cs

@@ -1 @@
-#region License Information
+#region License Information
 /* HeuristicLab
  * Copyright (C) 2002-2015 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
@@ -33 +33 @@
 namespace HeuristicLab.Problems.DataAnalysis.Symbolic.Regression {
   [Item("SymbolicRegressionPhenotypicDiversityAnalyzer", "An analyzer which calculates diversity based on the phenotypic distance between trees")]
-  [StorableClass]
+  [StorableClass("BEF0E48C-CF40-453C-8110-C5A2F168679C")]
   public class SymbolicRegressionPhenotypicDiversityAnalyzer : PopulationSimilarityAnalyzer,
     ISymbolicDataAnalysisBoundedOperator, ISymbolicDataAnalysisInterpreterOperator, ISymbolicExpressionTreeAnalyzer {

branches/PersistenceOverhaul/HeuristicLab.Problems.DataAnalysis.Symbolic.Regression/3.4/SymbolicRegressionPruningAnalyzer.cs

@@ -1 @@
-#region License Information
+#region License Information
 
 /* HeuristicLab
@@ -30 +30 @@
 namespace HeuristicLab.Problems.DataAnalysis.Symbolic.Regression {
   [Item("SymbolicRegressionPruningAnalyzer", "An analyzer that prunes introns from the population.")]
-  [StorableClass]
+  [StorableClass("4A4D6B88-4C51-4097-927C-B2F77B6DB64E")]
   public sealed class SymbolicRegressionPruningAnalyzer : SymbolicDataAnalysisSingleObjectivePruningAnalyzer {
     private const string PruningOperatorParameterName = "PruningOperator";

branches/PersistenceOverhaul/HeuristicLab.Problems.DataAnalysis.Symbolic.Regression/3.4/SymbolicRegressionPruningOperator.cs

@@ -1 @@
-#region License Information
+#region License Information
 
 /* HeuristicLab
@@ -31 +31 @@
 
 namespace HeuristicLab.Problems.DataAnalysis.Symbolic.Regression {
-  [StorableClass]
+  [StorableClass("79BE682F-CE23-4725-869A-AAE08A6DDF70")]
   [Item("SymbolicRegressionPruningOperator", "An operator which prunes symbolic regression trees.")]
   public class SymbolicRegressionPruningOperator : SymbolicDataAnalysisExpressionPruningOperator {

branches/PersistenceOverhaul/HeuristicLab.Problems.DataAnalysis.Symbolic.Regression/3.4/SymbolicRegressionSolution.cs

@@ -32 +32 @@
   /// Represents a symbolic regression solution (model + data) and attributes of the solution like accuracy and complexity
   /// </summary>
-  [StorableClass]
+  [StorableClass("E08F8240-7BA5-47EE-9CFD-42023AF49149")]
   [Item(Name = "SymbolicRegressionSolution", Description = "Represents a symbolic regression solution (model + data) and attributes of the solution like accuracy and complexity.")]
   public sealed class SymbolicRegressionSolution : RegressionSolution, ISymbolicRegressionSolution {

branches/PersistenceOverhaul/HeuristicLab.Problems.DataAnalysis.Symbolic.Regression/3.4/SymbolicRegressionSolutionImpactValuesCalculator.cs

@@ -1 @@
-#region License Information
+#region License Information
 /* HeuristicLab
  * Copyright (C) 2002-2015 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
@@ -28 +28 @@
 
 namespace HeuristicLab.Problems.DataAnalysis.Symbolic.Regression {
-  [StorableClass]
+  [StorableClass("4505C514-62AE-4CAF-870D-2669AF0B2C0B")]
   [Item("SymbolicRegressionSolutionImpactValuesCalculator", "Calculate symbolic expression tree node impact values for regression problems.")]
   public class SymbolicRegressionSolutionImpactValuesCalculator : SymbolicDataAnalysisSolutionImpactValuesCalculator {