Changeset 13368 for branches/PersistenceOverhaul/HeuristicLab.Problems.DataAnalysis.Symbolic.Regression/3.4/SingleObjective/Evaluators

Timestamp:

11/24/15 17:08:13 (9 years ago)

Author:

ascheibe

Message:

#2520 added guids to storable classes

Location:

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

Files:

• SymbolicRegressionConstantOptimizationEvaluator.cs (modified) (2 diffs)
• SymbolicRegressionLogResidualEvaluator.cs (modified) (2 diffs)
• SymbolicRegressionMeanRelativeErrorEvaluator.cs (modified) (2 diffs)
• SymbolicRegressionSingleObjectiveEvaluator.cs (modified) (2 diffs)
• SymbolicRegressionSingleObjectiveMaxAbsoluteErrorEvaluator.cs (modified) (2 diffs)
• SymbolicRegressionSingleObjectiveMeanAbsoluteErrorEvaluator.cs (modified) (2 diffs)
• SymbolicRegressionSingleObjectiveMeanSquaredErrorEvaluator.cs (modified) (2 diffs)
• SymbolicRegressionSingleObjectivePearsonRSquaredEvaluator.cs (modified) (2 diffs)

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]