Changeset 16565 for trunk/HeuristicLab.Problems.DataAnalysis.Symbolic.Regression/3.4/MultiObjective

Timestamp:

01/28/19 13:41:42 (5 years ago)

Author:

gkronber

Message:

#2520: merged changes from PersistenceOverhaul branch (r16451:16564) into trunk

Location:

trunk

Files:

• . (modified) (1 prop)
• HeuristicLab.Problems.DataAnalysis.Symbolic.Regression (modified) (1 prop)
• HeuristicLab.Problems.DataAnalysis.Symbolic.Regression/3.4 (modified) (1 prop)
• HeuristicLab.Problems.DataAnalysis.Symbolic.Regression/3.4/MultiObjective/PearsonRSquaredAverageSimilarityEvaluator.cs (modified) (2 diffs)
• HeuristicLab.Problems.DataAnalysis.Symbolic.Regression/3.4/MultiObjective/PearsonRSquaredNestedTreeSizeEvaluator.cs (modified) (2 diffs)
• HeuristicLab.Problems.DataAnalysis.Symbolic.Regression/3.4/MultiObjective/PearsonRSquaredNumberOfVariablesEvaluator.cs (modified) (2 diffs)
• HeuristicLab.Problems.DataAnalysis.Symbolic.Regression/3.4/MultiObjective/PearsonRSquaredTreeComplexityEvaluator.cs (modified) (2 diffs)
• HeuristicLab.Problems.DataAnalysis.Symbolic.Regression/3.4/MultiObjective/SymbolicRegressionMultiObjectiveEvaluator.cs (modified) (3 diffs)
• HeuristicLab.Problems.DataAnalysis.Symbolic.Regression/3.4/MultiObjective/SymbolicRegressionMultiObjectiveMeanSquaredErrorTreeSizeEvaluator.cs (modified) (2 diffs)
• HeuristicLab.Problems.DataAnalysis.Symbolic.Regression/3.4/MultiObjective/SymbolicRegressionMultiObjectivePearsonRSquaredTreeSizeEvaluator.cs (modified) (2 diffs)
• HeuristicLab.Problems.DataAnalysis.Symbolic.Regression/3.4/MultiObjective/SymbolicRegressionMultiObjectiveProblem.cs (modified) (3 diffs)
• HeuristicLab.Problems.DataAnalysis.Symbolic.Regression/3.4/MultiObjective/SymbolicRegressionMultiObjectiveTrainingBestSolutionAnalyzer.cs (modified) (4 diffs)
• HeuristicLab.Problems.DataAnalysis.Symbolic.Regression/3.4/MultiObjective/SymbolicRegressionMultiObjectiveValidationBestSolutionAnalyzer.cs (modified) (4 diffs)

trunk/HeuristicLab.Problems.DataAnalysis.Symbolic.Regression/3.4/MultiObjective/PearsonRSquaredAverageSimilarityEvaluator.cs

@@ -29 +29 @@
 using HeuristicLab.Encodings.SymbolicExpressionTreeEncoding;
 using HeuristicLab.Parameters;
-using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
+using HEAL.Attic;
 
 namespace HeuristicLab.Problems.DataAnalysis.Symbolic.Regression {
   [Item("Pearson R² & Average Similarity Evaluator", "Calculates the Pearson R² and the average similarity of a symbolic regression solution candidate.")]
-  [StorableClass]
+  [StorableType("FE514989-E619-48B8-AC8E-9A2202708F65")]
   public class PearsonRSquaredAverageSimilarityEvaluator : SymbolicRegressionMultiObjectiveEvaluator {
     private const string StrictSimilarityParameterName = "StrictSimilarity";
@@ -48 +48 @@
 
     [StorableConstructor]
-    protected PearsonRSquaredAverageSimilarityEvaluator(bool deserializing) : base(deserializing) { }
+    protected PearsonRSquaredAverageSimilarityEvaluator(StorableConstructorFlag _) : base(_) { }
     protected PearsonRSquaredAverageSimilarityEvaluator(PearsonRSquaredAverageSimilarityEvaluator original, Cloner cloner)
       : base(original, cloner) {

trunk/HeuristicLab.Problems.DataAnalysis.Symbolic.Regression/3.4/MultiObjective/PearsonRSquaredNestedTreeSizeEvaluator.cs

@@ -1 +1 @@
 #region License Information
 /* HeuristicLab
- * Copyright (C) 2002-2018 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
+ * Copyright (C) 2002-2019 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
  *
  * This file is part of HeuristicLab.
@@ -27 +27 @@
 using HeuristicLab.Data;
 using HeuristicLab.Encodings.SymbolicExpressionTreeEncoding;
-using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
+using HEAL.Attic;
 
 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]
+  [StorableType("37486F27-9BA0-4C89-BB2F-6823E4FB317A")]
   public class PearsonRSquaredNestedTreeSizeEvaluator : SymbolicRegressionMultiObjectiveEvaluator {
     [StorableConstructor]
-    protected PearsonRSquaredNestedTreeSizeEvaluator(bool deserializing) : base(deserializing) { }
+    protected PearsonRSquaredNestedTreeSizeEvaluator(StorableConstructorFlag _) : base(_) { }
     protected PearsonRSquaredNestedTreeSizeEvaluator(PearsonRSquaredNestedTreeSizeEvaluator original, Cloner cloner)
       : base(original, cloner) {

trunk/HeuristicLab.Problems.DataAnalysis.Symbolic.Regression/3.4/MultiObjective/PearsonRSquaredNumberOfVariablesEvaluator.cs

@@ -1 +1 @@
 #region License Information
 /* HeuristicLab
- * Copyright (C) 2002-2018 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
+ * Copyright (C) 2002-2019 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
  *
  * This file is part of HeuristicLab.
@@ -27 +27 @@
 using HeuristicLab.Data;
 using HeuristicLab.Encodings.SymbolicExpressionTreeEncoding;
-using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
+using HEAL.Attic;
 
 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]
+  [StorableType("DF68BE26-D76C-4CB7-BB38-CBBB4391FE86")]
   public class PearsonRSquaredNumberOfVariablesEvaluator : SymbolicRegressionMultiObjectiveEvaluator {
     [StorableConstructor]
-    protected PearsonRSquaredNumberOfVariablesEvaluator(bool deserializing) : base(deserializing) { }
+    protected PearsonRSquaredNumberOfVariablesEvaluator(StorableConstructorFlag _) : base(_) { }
     protected PearsonRSquaredNumberOfVariablesEvaluator(PearsonRSquaredNumberOfVariablesEvaluator original, Cloner cloner)
       : base(original, cloner) {

trunk/HeuristicLab.Problems.DataAnalysis.Symbolic.Regression/3.4/MultiObjective/PearsonRSquaredTreeComplexityEvaluator.cs

@@ -1 +1 @@
 #region License Information
 /* HeuristicLab
- * Copyright (C) 2002-2018 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
+ * Copyright (C) 2002-2019 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
  *
  * This file is part of HeuristicLab.
@@ -26 +26 @@
 using HeuristicLab.Data;
 using HeuristicLab.Encodings.SymbolicExpressionTreeEncoding;
-using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
+using HEAL.Attic;
 
 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]
+  [StorableType("FD8705F5-1CFE-4410-A013-48E193EFADC9")]
   public class PearsonRSquaredTreeComplexityEvaluator : SymbolicRegressionMultiObjectiveEvaluator {
     [StorableConstructor]
-    protected PearsonRSquaredTreeComplexityEvaluator(bool deserializing) : base(deserializing) { }
+    protected PearsonRSquaredTreeComplexityEvaluator(StorableConstructorFlag _) : base(_) { }
     protected PearsonRSquaredTreeComplexityEvaluator(PearsonRSquaredTreeComplexityEvaluator original, Cloner cloner)
       : base(original, cloner) {

trunk/HeuristicLab.Problems.DataAnalysis.Symbolic.Regression/3.4/MultiObjective/SymbolicRegressionMultiObjectiveEvaluator.cs

@@ -1 +1 @@
 #region License Information
 /* HeuristicLab
- * Copyright (C) 2002-2018 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
+ * Copyright (C) 2002-2019 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
  *
  * This file is part of HeuristicLab.
@@ -25 +25 @@
 using HeuristicLab.Data;
 using HeuristicLab.Parameters;
-using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
+using HEAL.Attic;
 
 namespace HeuristicLab.Problems.DataAnalysis.Symbolic.Regression {
-  [StorableClass]
+  [StorableType("1BEEE472-95E7-45C3-BD47-883B5E3A672D")]
   public abstract class SymbolicRegressionMultiObjectiveEvaluator : SymbolicDataAnalysisMultiObjectiveEvaluator<IRegressionProblemData>, ISymbolicRegressionMultiObjectiveEvaluator {
     private const string DecimalPlacesParameterName = "Decimal Places";
@@ -70 +70 @@
 
     [StorableConstructor]
-    protected SymbolicRegressionMultiObjectiveEvaluator(bool deserializing) : base(deserializing) { }
+    protected SymbolicRegressionMultiObjectiveEvaluator(StorableConstructorFlag _) : base(_) { }
     protected SymbolicRegressionMultiObjectiveEvaluator(SymbolicRegressionMultiObjectiveEvaluator original, Cloner cloner)
       : base(original, cloner) {

trunk/HeuristicLab.Problems.DataAnalysis.Symbolic.Regression/3.4/MultiObjective/SymbolicRegressionMultiObjectiveMeanSquaredErrorTreeSizeEvaluator.cs

@@ -1 +1 @@
 #region License Information
 /* HeuristicLab
- * Copyright (C) 2002-2018 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
+ * Copyright (C) 2002-2019 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
  *
  * This file is part of HeuristicLab.
@@ -26 +26 @@
 using HeuristicLab.Data;
 using HeuristicLab.Encodings.SymbolicExpressionTreeEncoding;
-using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
+using HEAL.Attic;
 
 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]
+  [StorableType("B1EFB303-9C37-4CBB-8269-BDBC223D9086")]
   public class SymbolicRegressionMultiObjectiveMeanSquaredErrorSolutionSizeEvaluator : SymbolicRegressionMultiObjectiveEvaluator {
     [StorableConstructor]
-    protected SymbolicRegressionMultiObjectiveMeanSquaredErrorSolutionSizeEvaluator(bool deserializing) : base(deserializing) { }
+    protected SymbolicRegressionMultiObjectiveMeanSquaredErrorSolutionSizeEvaluator(StorableConstructorFlag _) : base(_) { }
     protected SymbolicRegressionMultiObjectiveMeanSquaredErrorSolutionSizeEvaluator(SymbolicRegressionMultiObjectiveMeanSquaredErrorSolutionSizeEvaluator original, Cloner cloner)
       : base(original, cloner) {

trunk/HeuristicLab.Problems.DataAnalysis.Symbolic.Regression/3.4/MultiObjective/SymbolicRegressionMultiObjectivePearsonRSquaredTreeSizeEvaluator.cs

@@ -1 +1 @@
 #region License Information
 /* HeuristicLab
- * Copyright (C) 2002-2018 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
+ * Copyright (C) 2002-2019 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
  *
  * This file is part of HeuristicLab.
@@ -26 +26 @@
 using HeuristicLab.Data;
 using HeuristicLab.Encodings.SymbolicExpressionTreeEncoding;
-using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
+using HEAL.Attic;
 
 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]
+  [StorableType("58008433-3406-4374-9BF1-1C5EF944350A")]
   public class SymbolicRegressionMultiObjectivePearsonRSquaredTreeSizeEvaluator : SymbolicRegressionMultiObjectiveEvaluator {
     [StorableConstructor]
-    protected SymbolicRegressionMultiObjectivePearsonRSquaredTreeSizeEvaluator(bool deserializing) : base(deserializing) { }
+    protected SymbolicRegressionMultiObjectivePearsonRSquaredTreeSizeEvaluator(StorableConstructorFlag _) : base(_) { }
     protected SymbolicRegressionMultiObjectivePearsonRSquaredTreeSizeEvaluator(SymbolicRegressionMultiObjectivePearsonRSquaredTreeSizeEvaluator original, Cloner cloner)
       : base(original, cloner) {

trunk/HeuristicLab.Problems.DataAnalysis.Symbolic.Regression/3.4/MultiObjective/SymbolicRegressionMultiObjectiveProblem.cs

@@ -1 +1 @@
 #region License Information
 /* HeuristicLab
- * Copyright (C) 2002-2018 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
+ * Copyright (C) 2002-2019 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
  *
  * This file is part of HeuristicLab.
@@ -26 +26 @@
 using HeuristicLab.Optimization;
 using HeuristicLab.Parameters;
-using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
+using HEAL.Attic;
 
 namespace HeuristicLab.Problems.DataAnalysis.Symbolic.Regression {
   [Item("Symbolic Regression Problem (multi-objective)", "Represents a multi objective symbolic regression problem.")]
-  [StorableClass]
+  [StorableType("4A8D3658-66B3-48B4-B983-D46409045DBE")]
   [Creatable(CreatableAttribute.Categories.GeneticProgrammingProblems, Priority = 110)]
   public class SymbolicRegressionMultiObjectiveProblem : SymbolicDataAnalysisMultiObjectiveProblem<IRegressionProblemData, ISymbolicRegressionMultiObjectiveEvaluator, ISymbolicDataAnalysisSolutionCreator>, IRegressionProblem {
@@ -53 +53 @@
 
     [StorableConstructor]
-    protected SymbolicRegressionMultiObjectiveProblem(bool deserializing) : base(deserializing) { }
+    protected SymbolicRegressionMultiObjectiveProblem(StorableConstructorFlag _) : base(_) { }
     protected SymbolicRegressionMultiObjectiveProblem(SymbolicRegressionMultiObjectiveProblem original, Cloner cloner)
       : base(original, cloner) {

trunk/HeuristicLab.Problems.DataAnalysis.Symbolic.Regression/3.4/MultiObjective/SymbolicRegressionMultiObjectiveTrainingBestSolutionAnalyzer.cs

@@ -1 +1 @@
 #region License Information
 /* HeuristicLab
- * Copyright (C) 2002-2018 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
+ * Copyright (C) 2002-2019 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
  *
  * This file is part of HeuristicLab.
@@ -29 +29 @@
 using HeuristicLab.Optimization;
 using HeuristicLab.Parameters;
-using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
+using HEAL.Attic;
 
 namespace HeuristicLab.Problems.DataAnalysis.Symbolic.Regression {
@@ -36 +36 @@
   /// </summary>
   [Item("SymbolicRegressionMultiObjectiveTrainingBestSolutionAnalyzer", "An operator that analyzes the training best symbolic regression solution for multi objective symbolic regression problems.")]
-  [StorableClass]
+  [StorableType("431B0046-3115-493F-BD15-E3DA98E3E9C7")]
   public sealed class SymbolicRegressionMultiObjectiveTrainingBestSolutionAnalyzer : SymbolicDataAnalysisMultiObjectiveTrainingBestSolutionAnalyzer<ISymbolicRegressionSolution>,
     ISymbolicDataAnalysisInterpreterOperator, ISymbolicDataAnalysisBoundedOperator {
@@ -75 +75 @@
 
     [StorableConstructor]
-    private SymbolicRegressionMultiObjectiveTrainingBestSolutionAnalyzer(bool deserializing) : base(deserializing) { }
+    private SymbolicRegressionMultiObjectiveTrainingBestSolutionAnalyzer(StorableConstructorFlag _) : base(_) { }
     private SymbolicRegressionMultiObjectiveTrainingBestSolutionAnalyzer(SymbolicRegressionMultiObjectiveTrainingBestSolutionAnalyzer original, Cloner cloner) : base(original, cloner) { }
     public SymbolicRegressionMultiObjectiveTrainingBestSolutionAnalyzer()

trunk/HeuristicLab.Problems.DataAnalysis.Symbolic.Regression/3.4/MultiObjective/SymbolicRegressionMultiObjectiveValidationBestSolutionAnalyzer.cs

@@ -1 +1 @@
 #region License Information
 /* HeuristicLab
- * Copyright (C) 2002-2018 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
+ * Copyright (C) 2002-2019 Heuristic and Evolutionary Algorithms Laboratory (HEAL)
  *
  * This file is part of HeuristicLab.
@@ -24 +24 @@
 using HeuristicLab.Encodings.SymbolicExpressionTreeEncoding;
 using HeuristicLab.Parameters;
-using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
+using HEAL.Attic;
 
 namespace HeuristicLab.Problems.DataAnalysis.Symbolic.Regression {
@@ -31 +31 @@
   /// </summary>
   [Item("SymbolicRegressionMultiObjectiveValidationBestSolutionAnalyzer", "An operator that analyzes the validation best symbolic regression solution for multi objective symbolic regression problems.")]
-  [StorableClass]
+  [StorableType("64084F75-38B9-4501-BF2D-BB342B49F732")]
   public sealed class SymbolicRegressionMultiObjectiveValidationBestSolutionAnalyzer : SymbolicDataAnalysisMultiObjectiveValidationBestSolutionAnalyzer<ISymbolicRegressionSolution, ISymbolicRegressionMultiObjectiveEvaluator, IRegressionProblemData>,
     ISymbolicDataAnalysisBoundedOperator {
@@ -43 +43 @@
 
     [StorableConstructor]
-    private SymbolicRegressionMultiObjectiveValidationBestSolutionAnalyzer(bool deserializing) : base(deserializing) { }
+    private SymbolicRegressionMultiObjectiveValidationBestSolutionAnalyzer(StorableConstructorFlag _) : base(_) { }
     private SymbolicRegressionMultiObjectiveValidationBestSolutionAnalyzer(SymbolicRegressionMultiObjectiveValidationBestSolutionAnalyzer original, Cloner cloner) : base(original, cloner) { }
     public SymbolicRegressionMultiObjectiveValidationBestSolutionAnalyzer()