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Timestamp:
05/04/17 17:19:35 (8 years ago)
Author:
gkronber
Message:

#2520: changed all usages of StorableClass to use StorableType with an auto-generated GUID (did not add StorableType to other type definitions yet)

Location:
branches/PersistenceReintegration/HeuristicLab.Problems.DataAnalysis.Symbolic.Regression/3.4
Files:
32 edited

Legend:

Unmodified
Added
Removed

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

    r14185 r14927  
    2727using HeuristicLab.Data;
    2828using HeuristicLab.Encodings.SymbolicExpressionTreeEncoding;
    29 using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
     29using HeuristicLab.Persistence;
    3030
    3131namespace HeuristicLab.Problems.DataAnalysis.Symbolic.Regression {
    3232  [Item("Pearson R² & Nested Tree size Evaluator", "Calculates the Pearson R² and the nested tree size of a symbolic regression solution.")]
    33   [StorableClass]
     33  [StorableType("68e7ea47-9469-48fe-8ae4-b095079fed1e")]
    3434  public class PearsonRSquaredNestedTreeSizeEvaluator : SymbolicRegressionMultiObjectiveEvaluator {
    3535    [StorableConstructor]
    … …  
    5555
    5656      if (UseConstantOptimization) {
    57         SymbolicRegressionConstantOptimizationEvaluator.OptimizeConstants(interpreter, solution, problemData, rows, applyLinearScaling, ConstantOptimizationIterations, updateVariableWeights: ConstantOptimizationUpdateVariableWeights,lowerEstimationLimit: estimationLimits.Lower, upperEstimationLimit: estimationLimits.Upper);
     57        SymbolicRegressionConstantOptimizationEvaluator.OptimizeConstants(interpreter, solution, problemData, rows, applyLinearScaling, ConstantOptimizationIterations, updateVariableWeights: ConstantOptimizationUpdateVariableWeights, lowerEstimationLimit: estimationLimits.Lower, upperEstimationLimit: estimationLimits.Upper);
    5858      }
    5959
    … …  
    7676      // DecimalPlaces parameter is a FixedValueParameter and doesn't need the context.
    7777
    78       double[] quality = Calculate(SymbolicDataAnalysisTreeInterpreterParameter.ActualValue, tree, EstimationLimitsParameter.ActualValue.Lower, EstimationLimitsParameter.ActualValue.Upper, problemData, rows, ApplyLinearScalingParameter.ActualValue.Value, DecimalPlaces); 
     78      double[] quality = Calculate(SymbolicDataAnalysisTreeInterpreterParameter.ActualValue, tree, EstimationLimitsParameter.ActualValue.Lower, EstimationLimitsParameter.ActualValue.Upper, problemData, rows, ApplyLinearScalingParameter.ActualValue.Value, DecimalPlaces);
    7979
    8080      SymbolicDataAnalysisTreeInterpreterParameter.ExecutionContext = null;

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

    r14826 r14927  
    2727using HeuristicLab.Data;
    2828using HeuristicLab.Encodings.SymbolicExpressionTreeEncoding;
    29 using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
     29using HeuristicLab.Persistence;
    3030
    3131namespace HeuristicLab.Problems.DataAnalysis.Symbolic.Regression {
    3232  [Item("Pearson R² & Number of Variables Evaluator", "Calculates the Pearson R² and the number of used variables of a symbolic regression solution.")]
    33   [StorableClass]
     33  [StorableType("76d8c85b-44a9-408c-aabf-84f86efbefbf")]
    3434  public class PearsonRSquaredNumberOfVariablesEvaluator : SymbolicRegressionMultiObjectiveEvaluator {
    3535    [StorableConstructor]

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

    r14185 r14927  
    2626using HeuristicLab.Data;
    2727using HeuristicLab.Encodings.SymbolicExpressionTreeEncoding;
    28 using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
     28using HeuristicLab.Persistence;
    2929
    3030namespace HeuristicLab.Problems.DataAnalysis.Symbolic.Regression {
    3131  [Item("Pearson R² & Tree Complexity Evaluator", "Calculates the Pearson R² and the tree complexity of a symbolic regression solution.")]
    32   [StorableClass]
     32  [StorableType("48c8b504-bae7-479a-bff9-f05d5f2d9664")]
    3333  public class PearsonRSquaredTreeComplexityEvaluator : SymbolicRegressionMultiObjectiveEvaluator {
    3434    [StorableConstructor]

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

    r14185 r14927  
    2525using HeuristicLab.Data;
    2626using HeuristicLab.Parameters;
    27 using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
     27using HeuristicLab.Persistence;
    2828
    2929namespace HeuristicLab.Problems.DataAnalysis.Symbolic.Regression {
    30   [StorableClass]
     30  [StorableType("92f38657-7fd2-45c5-8a3f-7dea4784cbb7")]
    3131  public abstract class SymbolicRegressionMultiObjectiveEvaluator : SymbolicDataAnalysisMultiObjectiveEvaluator<IRegressionProblemData>, ISymbolicRegressionMultiObjectiveEvaluator {
    3232    private const string DecimalPlacesParameterName = "Decimal Places";

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

    r14185 r14927  
    2626using HeuristicLab.Data;
    2727using HeuristicLab.Encodings.SymbolicExpressionTreeEncoding;
    28 using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
     28using HeuristicLab.Persistence;
    2929
    3030namespace HeuristicLab.Problems.DataAnalysis.Symbolic.Regression {
    3131  [Item("Mean squared error & Tree size Evaluator", "Calculates the mean squared error and the tree size of a symbolic regression solution.")]
    32   [StorableClass]
     32  [StorableType("88d6334e-30d4-47bd-ad14-ddd3137805d0")]
    3333  public class SymbolicRegressionMultiObjectiveMeanSquaredErrorSolutionSizeEvaluator : SymbolicRegressionMultiObjectiveEvaluator {
    3434    [StorableConstructor]

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

    r14185 r14927  
    2626using HeuristicLab.Data;
    2727using HeuristicLab.Encodings.SymbolicExpressionTreeEncoding;
    28 using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
     28using HeuristicLab.Persistence;
    2929
    3030namespace HeuristicLab.Problems.DataAnalysis.Symbolic.Regression {
    3131  [Item("Pearson R² & Tree size Evaluator", "Calculates the Pearson R² and the tree size of a symbolic regression solution.")]
    32   [StorableClass]
     32  [StorableType("713950e6-5942-45d9-a0ec-355b91f61093")]
    3333  public class SymbolicRegressionMultiObjectivePearsonRSquaredTreeSizeEvaluator : SymbolicRegressionMultiObjectiveEvaluator {
    3434    [StorableConstructor]

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

    r14185 r14927  
    2626using HeuristicLab.Optimization;
    2727using HeuristicLab.Parameters;
    28 using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
     28using HeuristicLab.Persistence;
    2929
    3030namespace HeuristicLab.Problems.DataAnalysis.Symbolic.Regression {
    3131  [Item("Symbolic Regression Problem (multi-objective)", "Represents a multi objective symbolic regression problem.")]
    32   [StorableClass]
     32  [StorableType("203a342f-00e4-4ab3-be0d-4f3cbe84cf94")]
    3333  [Creatable(CreatableAttribute.Categories.GeneticProgrammingProblems, Priority = 110)]
    3434  public class SymbolicRegressionMultiObjectiveProblem : SymbolicDataAnalysisMultiObjectiveProblem<IRegressionProblemData, ISymbolicRegressionMultiObjectiveEvaluator, ISymbolicDataAnalysisSolutionCreator>, IRegressionProblem {

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

    r14861 r14927  
    2929using HeuristicLab.Optimization;
    3030using HeuristicLab.Parameters;
    31 using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
     31using HeuristicLab.Persistence;
    3232
    3333namespace HeuristicLab.Problems.DataAnalysis.Symbolic.Regression {
    … …  
    3636  /// </summary>
    3737  [Item("SymbolicRegressionMultiObjectiveTrainingBestSolutionAnalyzer", "An operator that analyzes the training best symbolic regression solution for multi objective symbolic regression problems.")]
    38   [StorableClass]
     38  [StorableType("8d8e3289-a210-4b0f-8f31-68ea88f85277")]
    3939  public sealed class SymbolicRegressionMultiObjectiveTrainingBestSolutionAnalyzer : SymbolicDataAnalysisMultiObjectiveTrainingBestSolutionAnalyzer<ISymbolicRegressionSolution>,
    4040    ISymbolicDataAnalysisInterpreterOperator, ISymbolicDataAnalysisBoundedOperator {

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

    r14185 r14927  
    2424using HeuristicLab.Encodings.SymbolicExpressionTreeEncoding;
    2525using HeuristicLab.Parameters;
    26 using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
     26using HeuristicLab.Persistence;
    2727
    2828namespace HeuristicLab.Problems.DataAnalysis.Symbolic.Regression {
    … …  
    3131  /// </summary>
    3232  [Item("SymbolicRegressionMultiObjectiveValidationBestSolutionAnalyzer", "An operator that analyzes the validation best symbolic regression solution for multi objective symbolic regression problems.")]
    33   [StorableClass]
     33  [StorableType("0848477c-0ee0-4870-8eaa-344d40073b16")]
    3434  public sealed class SymbolicRegressionMultiObjectiveValidationBestSolutionAnalyzer : SymbolicDataAnalysisMultiObjectiveValidationBestSolutionAnalyzer<ISymbolicRegressionSolution, ISymbolicRegressionMultiObjectiveEvaluator, IRegressionProblemData>,
    3535    ISymbolicDataAnalysisBoundedOperator {

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

    r14185 r14927  
    2828using HeuristicLab.Optimization;
    2929using HeuristicLab.Parameters;
    30 using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
     30using HeuristicLab.Persistence;
    3131
    3232namespace HeuristicLab.Problems.DataAnalysis.Symbolic.Regression {
    … …  
    3535  /// </summary>
    3636  [Item("ConstantOptimizationAnalyzer", "An operator that performs a constant optimization on the best symbolic expression trees.")]
    37   [StorableClass]
     37  [StorableType("c69c4c83-c564-4d78-8672-fc8c7dbf18dd")]
    3838  public sealed class ConstantOptimizationAnalyzer : SymbolicDataAnalysisSingleObjectiveAnalyzer, IStatefulItem {
    3939    private const string PercentageOfBestSolutionsParameterName = "PercentageOfBestSolutions";

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

    r14843 r14927  
    2828using HeuristicLab.Encodings.SymbolicExpressionTreeEncoding;
    2929using HeuristicLab.Parameters;
    30 using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
     30using HeuristicLab.Persistence;
    3131
    3232namespace HeuristicLab.Problems.DataAnalysis.Symbolic.Regression {
    3333  [Item("Constant Optimization Evaluator", "Calculates Pearson R² of a symbolic regression solution and optimizes the constant used.")]
    34   [StorableClass]
     34  [StorableType("feecded4-f5c9-496d-9150-0e16e3e93f7c")]
    3535  public class SymbolicRegressionConstantOptimizationEvaluator : SymbolicRegressionSingleObjectiveEvaluator {
    3636    private const string ConstantOptimizationIterationsParameterName = "ConstantOptimizationIterations";

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

    r14185 r14927  
    2727using HeuristicLab.Data;
    2828using HeuristicLab.Encodings.SymbolicExpressionTreeEncoding;
    29 using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
     29using HeuristicLab.Persistence;
    3030
    3131namespace HeuristicLab.Problems.DataAnalysis.Symbolic.Regression {
    32   [Item("Log Residual Evaluator", "Evaluator for symbolic regression models that calculates the mean of logarithmic absolute residuals avg(log( 1 + abs(y' - y)))" + 
     32  [Item("Log Residual Evaluator", "Evaluator for symbolic regression models that calculates the mean of logarithmic absolute residuals avg(log( 1 + abs(y' - y)))" +
    3333                                  "This evaluator does not perform linear scaling!" +
    3434                                  "This evaluator can be useful if the modeled function contains discontinuities (e.g. 1/x). " +
    … …  
    3838                                  "This effects GP convergence because functional fragments which are necessary to explain small variations are also more likely" +
    3939                                  " to stay in the population. This is useful even when the actual objective function is mean of squared errors.")]
    40   [StorableClass]
     40  [StorableType("6a2b4b99-3c19-41e3-adc7-62bb38721cb4")]
    4141  public class SymbolicRegressionLogResidualEvaluator : SymbolicRegressionSingleObjectiveEvaluator {
    4242    [StorableConstructor]

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

    r14185 r14927  
    2727using HeuristicLab.Data;
    2828using HeuristicLab.Encodings.SymbolicExpressionTreeEncoding;
    29 using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
     29using HeuristicLab.Persistence;
    3030
    3131namespace HeuristicLab.Problems.DataAnalysis.Symbolic.Regression {
    … …  
    3333                                         "The +1 is necessary to handle data with the value of 0.0 correctly. " +
    3434                                         "Notice: Linear scaling is ignored for this evaluator.")]
    35   [StorableClass]
     35  [StorableType("a3d19505-1a12-4d4f-932c-0ebc8044562d")]
    3636  public class SymbolicRegressionMeanRelativeErrorEvaluator : SymbolicRegressionSingleObjectiveEvaluator {
    3737    public override bool Maximization { get { return false; } }

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

    r14185 r14927  
    2727using HeuristicLab.Data;
    2828using HeuristicLab.Parameters;
    29 using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
     29using HeuristicLab.Persistence;
    3030namespace HeuristicLab.Problems.DataAnalysis.Symbolic.Regression {
    31   [StorableClass]
    32   public abstract class SymbolicRegressionSingleObjectiveEvaluator : SymbolicDataAnalysisSingleObjectiveEvaluator<IRegressionProblemData>, ISymbolicRegressionSingleObjectiveEvaluator { 
     31  [StorableType("6b51b89e-8d04-4736-8ffa-80485607ebfe")]
     32  public abstract class SymbolicRegressionSingleObjectiveEvaluator : SymbolicDataAnalysisSingleObjectiveEvaluator<IRegressionProblemData>, ISymbolicRegressionSingleObjectiveEvaluator {
    3333    [StorableConstructor]
    3434    protected SymbolicRegressionSingleObjectiveEvaluator(bool deserializing) : base(deserializing) { }
    3535    protected SymbolicRegressionSingleObjectiveEvaluator(SymbolicRegressionSingleObjectiveEvaluator original, Cloner cloner) : base(original, cloner) { }
    36     protected SymbolicRegressionSingleObjectiveEvaluator(): base() {}   
     36    protected SymbolicRegressionSingleObjectiveEvaluator() : base() { }
    3737  }
    3838}

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

    r14185 r14927  
    2525using HeuristicLab.Data;
    2626using HeuristicLab.Encodings.SymbolicExpressionTreeEncoding;
    27 using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
     27using HeuristicLab.Persistence;
    2828
    2929namespace HeuristicLab.Problems.DataAnalysis.Symbolic.Regression {
    3030  [Item("Maximum absolute error Evaluator", "Calculates the maximum squared error of a symbolic regression solution.")]
    31   [StorableClass]
     31  [StorableType("744f2ac1-82d4-40d9-b037-beb362793d88")]
    3232  public class SymbolicRegressionSingleObjectiveMaxAbsoluteErrorEvaluator : SymbolicRegressionSingleObjectiveEvaluator {
    3333    public override bool Maximization { get { return false; } }

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

    r14185 r14927  
    2525using HeuristicLab.Data;
    2626using HeuristicLab.Encodings.SymbolicExpressionTreeEncoding;
    27 using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
     27using HeuristicLab.Persistence;
    2828
    2929namespace HeuristicLab.Problems.DataAnalysis.Symbolic.Regression {
    3030  [Item("Mean absolute error Evaluator", "Calculates the mean absolute error of a symbolic regression solution.")]
    31   [StorableClass]
     31  [StorableType("8be4e783-5141-441e-baac-2d2226979dfd")]
    3232  public class SymbolicRegressionSingleObjectiveMeanAbsoluteErrorEvaluator : SymbolicRegressionSingleObjectiveEvaluator {
    3333    public override bool Maximization { get { return false; } }

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

    r14185 r14927  
    2525using HeuristicLab.Data;
    2626using HeuristicLab.Encodings.SymbolicExpressionTreeEncoding;
    27 using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
     27using HeuristicLab.Persistence;
    2828
    2929namespace HeuristicLab.Problems.DataAnalysis.Symbolic.Regression {
    3030  [Item("Mean squared error Evaluator", "Calculates the mean squared error of a symbolic regression solution.")]
    31   [StorableClass]
     31  [StorableType("d9975a6a-2db7-4f88-bfc6-b697ba20d7d6")]
    3232  public class SymbolicRegressionSingleObjectiveMeanSquaredErrorEvaluator : SymbolicRegressionSingleObjectiveEvaluator {
    3333    public override bool Maximization { get { return false; } }

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

    r14354 r14927  
    2525using HeuristicLab.Data;
    2626using HeuristicLab.Encodings.SymbolicExpressionTreeEncoding;
    27 using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
     27using HeuristicLab.Persistence;
    2828
    2929namespace HeuristicLab.Problems.DataAnalysis.Symbolic.Regression {
    3030  [Item("Pearson R² Evaluator", "Calculates the square of the pearson correlation coefficient (also known as coefficient of determination) of a symbolic regression solution.")]
    31   [StorableClass]
     31  [StorableType("e067c9dc-cc13-4f93-96c2-aacae751e335")]
    3232  public class SymbolicRegressionSingleObjectivePearsonRSquaredEvaluator : SymbolicRegressionSingleObjectiveEvaluator {
    3333    [StorableConstructor]
    … …  
    7070      }
    7171      if (errorState != OnlineCalculatorError.None) return double.NaN;
    72       return r*r;
     72      return r * r;
    7373    }
    7474

  • branches/PersistenceReintegration/HeuristicLab.Problems.DataAnalysis.Symbolic.Regression/3.4/SingleObjective/Evaluators/SymbolicRegressionVarianceModelEvaluator.cs

    r14528 r14927  
    2727using HeuristicLab.Data;
    2828using HeuristicLab.Encodings.SymbolicExpressionTreeEncoding;
    29 using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
     29using HeuristicLab.Persistence;
    3030
    3131namespace HeuristicLab.Problems.DataAnalysis.Symbolic.Regression {
    3232  [Item("Variance Model Evaluator", "Can be used for modeling variance of a variable. Assumes that the variable values are sampled from a zero mean Gaussian. Use a model for the target variable to calculate the residuals. In a second step use the residuals as the target variable and use this evaluator to create the model for the conditional variance.")]
    33   [StorableClass]
     33  [StorableType("4a70f22b-b92c-4783-b119-fd50b29f2f38")]
    3434  public class SymbolicRegressionVarianceModelEvaluator : SymbolicRegressionSingleObjectiveEvaluator {
    3535    [StorableConstructor]

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

    r14185 r14927  
    2828using HeuristicLab.Optimization;
    2929using HeuristicLab.Parameters;
    30 using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
     30using HeuristicLab.Persistence;
    3131
    3232namespace HeuristicLab.Problems.DataAnalysis.Symbolic.Regression {
    3333  [Item("SymbolicRegressionSingleObjectiveOverfittingAnalyzer", "Calculates and tracks correlation of training and validation fitness of symbolic regression models.")]
    34   [StorableClass]
     34  [StorableType("e8c7caea-d9aa-4544-883b-f0f97a5b0685")]
    3535  public sealed class SymbolicRegressionSingleObjectiveOverfittingAnalyzer : SymbolicDataAnalysisSingleObjectiveValidationAnalyzer<ISymbolicRegressionSingleObjectiveEvaluator, IRegressionProblemData> {
    3636    private const string TrainingValidationCorrelationParameterName = "Training and validation fitness correlation";
    … …  
    8989      try {
    9090        r = alglib.spearmancorr2(trainingQuality, validationQuality);
    91       }
    92       catch (alglib.alglibexception) {
     91      } catch (alglib.alglibexception) {
    9392        r = 0.0;
    9493      }

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

    r14185 r14927  
    2525using HeuristicLab.Optimization;
    2626using HeuristicLab.Parameters;
    27 using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
     27using HeuristicLab.Persistence;
    2828
    2929namespace HeuristicLab.Problems.DataAnalysis.Symbolic.Regression {
    3030  [Item("Symbolic Regression Problem (single-objective)", "Represents a single objective symbolic regression problem.")]
    31   [StorableClass]
     31  [StorableType("a8794308-35bc-419f-a8ce-f669abb35131")]
    3232  [Creatable(CreatableAttribute.Categories.GeneticProgrammingProblems, Priority = 100)]
    3333  public class SymbolicRegressionSingleObjectiveProblem : SymbolicDataAnalysisSingleObjectiveProblem<IRegressionProblemData, ISymbolicRegressionSingleObjectiveEvaluator, ISymbolicDataAnalysisSolutionCreator>, IRegressionProblem {

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

    r14185 r14927  
    2424using HeuristicLab.Encodings.SymbolicExpressionTreeEncoding;
    2525using HeuristicLab.Parameters;
    26 using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
     26using HeuristicLab.Persistence;
    2727
    2828namespace HeuristicLab.Problems.DataAnalysis.Symbolic.Regression {
    … …  
    3131  /// </summary>
    3232  [Item("SymbolicRegressionSingleObjectiveTrainingBestSolutionAnalyzer", "An operator that analyzes the training best symbolic regression solution for single objective symbolic regression problems.")]
    33   [StorableClass]
     33  [StorableType("68984142-5745-48e4-acfa-030e4351a4fa")]
    3434  public sealed class SymbolicRegressionSingleObjectiveTrainingBestSolutionAnalyzer : SymbolicDataAnalysisSingleObjectiveTrainingBestSolutionAnalyzer<ISymbolicRegressionSolution>,
    3535  ISymbolicDataAnalysisInterpreterOperator, ISymbolicDataAnalysisBoundedOperator {

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

    r14185 r14927  
    2323using HeuristicLab.Core;
    2424using HeuristicLab.Encodings.SymbolicExpressionTreeEncoding;
    25 using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
     25using HeuristicLab.Persistence;
    2626
    2727namespace HeuristicLab.Problems.DataAnalysis.Symbolic.Regression {
    … …  
    3030  /// </summary>
    3131  [Item("SymbolicRegressionSingleObjectiveTrainingParetoBestSolutionAnalyzer", "An operator that collects the training Pareto-best symbolic regression solutions for single objective symbolic regression problems.")]
    32   [StorableClass]
     32  [StorableType("9fae42a2-c822-4c0a-970c-5322171a9fe5")]
    3333  public sealed class SymbolicRegressionSingleObjectiveTrainingParetoBestSolutionAnalyzer : SymbolicDataAnalysisSingleObjectiveTrainingParetoBestSolutionAnalyzer<IRegressionProblemData, ISymbolicRegressionSolution> {
    3434

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

    r14185 r14927  
    2424using HeuristicLab.Encodings.SymbolicExpressionTreeEncoding;
    2525using HeuristicLab.Parameters;
    26 using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
     26using HeuristicLab.Persistence;
    2727
    2828namespace HeuristicLab.Problems.DataAnalysis.Symbolic.Regression {
    … …  
    3131  /// </summary>
    3232  [Item("SymbolicRegressionSingleObjectiveValidationBestSolutionAnalyzer", "An operator that analyzes the validation best symbolic regression solution for single objective symbolic regression problems.")]
    33   [StorableClass]
     33  [StorableType("a06a9de4-16be-4820-948a-60283f26e5bf")]
    3434  public sealed class SymbolicRegressionSingleObjectiveValidationBestSolutionAnalyzer : SymbolicDataAnalysisSingleObjectiveValidationBestSolutionAnalyzer<ISymbolicRegressionSolution, ISymbolicRegressionSingleObjectiveEvaluator, IRegressionProblemData>,
    3535    ISymbolicDataAnalysisBoundedOperator {

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

    r14185 r14927  
    2323using HeuristicLab.Core;
    2424using HeuristicLab.Encodings.SymbolicExpressionTreeEncoding;
    25 using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
     25using HeuristicLab.Persistence;
    2626
    2727namespace HeuristicLab.Problems.DataAnalysis.Symbolic.Regression {
    … …  
    3030  /// </summary>
    3131  [Item("SymbolicRegressionSingleObjectiveValidationParetoBestSolutionAnalyzer", "An operator that collects the validation Pareto-best symbolic regression solutions for single objective symbolic regression problems.")]
    32   [StorableClass]
     32  [StorableType("b92997ca-10e5-48fd-b3e7-19ed951b2994")]
    3333  public sealed class SymbolicRegressionSingleObjectiveValidationParetoBestSolutionAnalyzer : SymbolicDataAnalysisSingleObjectiveValidationParetoBestSolutionAnalyzer<ISymbolicRegressionSolution, ISymbolicRegressionSingleObjectiveEvaluator, IRegressionProblemData> {
    3434    [StorableConstructor]

  • branches/PersistenceReintegration/HeuristicLab.Problems.DataAnalysis.Symbolic.Regression/3.4/SingleObjective/SymbolicRegressionSolutionsAnalyzer.cs

    r14185 r14927  
    3131using HeuristicLab.Optimization;
    3232using HeuristicLab.Parameters;
    33 using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
     33using HeuristicLab.Persistence;
    3434
    3535namespace HeuristicLab.Problems.DataAnalysis.Symbolic.Regression {
    36   [StorableClass]
     36  [StorableType("f7d74653-9e45-4ea5-8bb7-65443e8bbe14")]
    3737  public class SymbolicRegressionSolutionsAnalyzer : SingleSuccessorOperator, IAnalyzer {
    3838    private const string ResultCollectionParameterName = "Results";

  • branches/PersistenceReintegration/HeuristicLab.Problems.DataAnalysis.Symbolic.Regression/3.4/SymbolicRegressionModel.cs

    r14290 r14927  
    2525using HeuristicLab.Core;
    2626using HeuristicLab.Encodings.SymbolicExpressionTreeEncoding;
    27 using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
     27using HeuristicLab.Persistence;
    2828
    2929namespace HeuristicLab.Problems.DataAnalysis.Symbolic.Regression {
    … …  
    3131  /// Represents a symbolic regression model
    3232  /// </summary>
    33   [StorableClass]
     33  [StorableType("eee4bb3d-6117-4b82-86de-e04a8f45e944")]
    3434  [Item(Name = "Symbolic Regression Model", Description = "Represents a symbolic regression model.")]
    3535  public class SymbolicRegressionModel : SymbolicDataAnalysisModel, ISymbolicRegressionModel {

  • branches/PersistenceReintegration/HeuristicLab.Problems.DataAnalysis.Symbolic.Regression/3.4/SymbolicRegressionPhenotypicDiversityAnalyzer.cs

    r14354 r14927  
    2929using HeuristicLab.Optimization;
    3030using HeuristicLab.Parameters;
    31 using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
     31using HeuristicLab.Persistence;
    3232
    3333namespace HeuristicLab.Problems.DataAnalysis.Symbolic.Regression {
    3434  [Item("SymbolicRegressionPhenotypicDiversityAnalyzer", "An analyzer which calculates diversity based on the phenotypic distance between trees")]
    35   [StorableClass]
     35  [StorableType("c8ed132f-0724-425c-84b6-a94a9772403c")]
    3636  public class SymbolicRegressionPhenotypicDiversityAnalyzer : PopulationSimilarityAnalyzer,
    3737    ISymbolicDataAnalysisBoundedOperator, ISymbolicDataAnalysisInterpreterOperator, ISymbolicExpressionTreeAnalyzer {

  • branches/PersistenceReintegration/HeuristicLab.Problems.DataAnalysis.Symbolic.Regression/3.4/SymbolicRegressionPruningAnalyzer.cs

    r14185 r14927  
    2626using HeuristicLab.Data;
    2727using HeuristicLab.Parameters;
    28 using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
     28using HeuristicLab.Persistence;
    2929
    3030namespace HeuristicLab.Problems.DataAnalysis.Symbolic.Regression {
    3131  [Item("SymbolicRegressionPruningAnalyzer", "An analyzer that prunes introns from the population.")]
    32   [StorableClass]
     32  [StorableType("3680644e-80b1-4970-9647-9501c9a33e9d")]
    3333  public sealed class SymbolicRegressionPruningAnalyzer : SymbolicDataAnalysisSingleObjectivePruningAnalyzer {
    3434    private const string PruningOperatorParameterName = "PruningOperator";

  • branches/PersistenceReintegration/HeuristicLab.Problems.DataAnalysis.Symbolic.Regression/3.4/SymbolicRegressionPruningOperator.cs

    r14185 r14927  
    2828using HeuristicLab.Encodings.SymbolicExpressionTreeEncoding;
    2929using HeuristicLab.Parameters;
    30 using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
     30using HeuristicLab.Persistence;
    3131
    3232namespace HeuristicLab.Problems.DataAnalysis.Symbolic.Regression {
    33   [StorableClass]
     33  [StorableType("833da538-1b88-41dc-995e-d12a37d7b350")]
    3434  [Item("SymbolicRegressionPruningOperator", "An operator which prunes symbolic regression trees.")]
    3535  public class SymbolicRegressionPruningOperator : SymbolicDataAnalysisExpressionPruningOperator {

  • branches/PersistenceReintegration/HeuristicLab.Problems.DataAnalysis.Symbolic.Regression/3.4/SymbolicRegressionSolution.cs

    r14185 r14927  
    2626using HeuristicLab.Encodings.SymbolicExpressionTreeEncoding;
    2727using HeuristicLab.Optimization;
    28 using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
     28using HeuristicLab.Persistence;
    2929
    3030namespace HeuristicLab.Problems.DataAnalysis.Symbolic.Regression {
    … …  
    3232  /// Represents a symbolic regression solution (model + data) and attributes of the solution like accuracy and complexity
    3333  /// </summary>
    34   [StorableClass]
     34  [StorableType("f9284bdb-a3ed-4ad8-b437-84db4e035835")]
    3535  [Item(Name = "SymbolicRegressionSolution", Description = "Represents a symbolic regression solution (model + data) and attributes of the solution like accuracy and complexity.")]
    3636  public sealed class SymbolicRegressionSolution : RegressionSolution, ISymbolicRegressionSolution {

  • branches/PersistenceReintegration/HeuristicLab.Problems.DataAnalysis.Symbolic.Regression/3.4/SymbolicRegressionSolutionImpactValuesCalculator.cs

    r14826 r14927  
    2525using HeuristicLab.Core;
    2626using HeuristicLab.Encodings.SymbolicExpressionTreeEncoding;
    27 using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
     27using HeuristicLab.Persistence;
    2828
    2929namespace HeuristicLab.Problems.DataAnalysis.Symbolic.Regression {
    30   [StorableClass]
     30  [StorableType("90fcd6b1-c275-40b6-b8f1-3a0b5fc1f911")]
    3131  [Item("SymbolicRegressionSolutionImpactValuesCalculator", "Calculate symbolic expression tree node impact values for regression problems.")]
    3232  public class SymbolicRegressionSolutionImpactValuesCalculator : SymbolicDataAnalysisSolutionImpactValuesCalculator {
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