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Changeset 5509


Ignore:
Timestamp:
02/17/11 13:22:49 (14 years ago)
Author:
mkommend
Message:

#1418: Made evaluators and problems generic to create the parameters correctly.

Location:
branches/DataAnalysis Refactoring
Files:
29 edited

Legend:

Unmodified
Added
Removed

  • branches/DataAnalysis Refactoring/HeuristicLab.Problems.DataAnalysis.Symbolic.Classification/3.4/Interfaces/ISymbolicClassificationEvaluator.cs

    r5501 r5509  
    2121
    2222namespace HeuristicLab.Problems.DataAnalysis.Symbolic.Classification {
    23   public interface ISymbolicClassificationEvaluator : IClassificationEvaluator, ISymbolicDataAnalysisEvaluator {
     23  public interface ISymbolicClassificationEvaluator : IClassificationEvaluator, ISymbolicDataAnalysisEvaluator<IClassificationProblemData> {
    2424  }
    2525}

  • branches/DataAnalysis Refactoring/HeuristicLab.Problems.DataAnalysis.Symbolic.Classification/3.4/Interfaces/ISymbolicClassificationMultiObjectiveEvaluator.cs

    r5501 r5509  
    2121
    2222namespace HeuristicLab.Problems.DataAnalysis.Symbolic.Classification {
    23   public interface ISymbolicClassificationMultiObjectiveEvaluator : ISymbolicClassificationEvaluator, ISymbolicDataAnalysisMultiObjectiveEvaluator {
     23  public interface ISymbolicClassificationMultiObjectiveEvaluator : ISymbolicClassificationEvaluator, ISymbolicDataAnalysisMultiObjectiveEvaluator<IClassificationProblemData> {
    2424  }
    2525}

  • branches/DataAnalysis Refactoring/HeuristicLab.Problems.DataAnalysis.Symbolic.Classification/3.4/Interfaces/ISymbolicClassificationSingleObjectiveEvaluator.cs

    r5501 r5509  
    2121
    2222namespace HeuristicLab.Problems.DataAnalysis.Symbolic.Classification {
    23   public interface ISymbolicClassificationSingleObjectiveEvaluator : ISymbolicClassificationEvaluator, ISymbolicDataAnalysisSingleObjectiveEvaluator {
     23  public interface ISymbolicClassificationSingleObjectiveEvaluator : ISymbolicClassificationEvaluator, ISymbolicDataAnalysisSingleObjectiveEvaluator<IClassificationProblemData> {
    2424  }
    2525}

  • branches/DataAnalysis Refactoring/HeuristicLab.Problems.DataAnalysis.Symbolic.Classification/3.4/MultiObjective/SymbolicClassificationMultiObjectiveEvaluator.cs

    r5505 r5509  
    2424
    2525namespace HeuristicLab.Problems.DataAnalysis.Symbolic.Classification {
    26   public abstract class SymbolicClassificationMultiObjectiveEvaluator : SymbolicDataAnalysisMultiObjectiveEvaluator, ISymbolicClassificationMultiObjectiveEvaluator {
    27     public new IClassificationProblemData ProblemData {
    28       get { return (IClassificationProblemData)base.ProblemData; }
    29     }
    30 
     26  public abstract class SymbolicClassificationMultiObjectiveEvaluator : SymbolicDataAnalysisMultiObjectiveEvaluator<IClassificationProblemData>, ISymbolicClassificationMultiObjectiveEvaluator {
    3127    [StorableConstructor]
    3228    protected SymbolicClassificationMultiObjectiveEvaluator(bool deserializing) : base(deserializing) { }

  • branches/DataAnalysis Refactoring/HeuristicLab.Problems.DataAnalysis.Symbolic.Classification/3.4/SingleObjective/SymbolicClassificationSingleObjectiveEvaluator.cs

    r5505 r5509  
    2424
    2525namespace HeuristicLab.Problems.DataAnalysis.Symbolic.Classification {
    26   public abstract class SymbolicClassificationSingleObjectiveEvaluator : SymbolicDataAnalysisSingleObjectiveEvaluator, ISymbolicClassificationSingleObjectiveEvaluator {
    27     public new IClassificationProblemData ProblemData {
    28       get { return (IClassificationProblemData)base.ProblemData; }
    29     }
    30 
     26  public abstract class SymbolicClassificationSingleObjectiveEvaluator : SymbolicDataAnalysisSingleObjectiveEvaluator<IClassificationProblemData>, ISymbolicClassificationSingleObjectiveEvaluator {
    3127    [StorableConstructor]
    3228    protected SymbolicClassificationSingleObjectiveEvaluator(bool deserializing) : base(deserializing) { }

  • branches/DataAnalysis Refactoring/HeuristicLab.Problems.DataAnalysis.Symbolic.Regression/3.4/Interfaces/ISymbolicRegressionEvaluator.cs

    r5500 r5509  
    2222
    2323namespace HeuristicLab.Problems.DataAnalysis.Symbolic.Regression {
    24   public interface ISymbolicRegressionEvaluator : IRegressionEvaluator, ISymbolicDataAnalysisEvaluator {
     24  public interface ISymbolicRegressionEvaluator : IRegressionEvaluator, ISymbolicDataAnalysisEvaluator<IRegressionProblemData> {
    2525  }
    2626}

  • branches/DataAnalysis Refactoring/HeuristicLab.Problems.DataAnalysis.Symbolic.Regression/3.4/Interfaces/ISymbolicRegressionMultiObjectiveEvaluator.cs

    r5500 r5509  
    2121
    2222namespace HeuristicLab.Problems.DataAnalysis.Symbolic.Regression {
    23   public interface ISymbolicRegressionMultiObjectiveEvaluator : ISymbolicRegressionEvaluator, ISymbolicDataAnalysisMultiObjectiveEvaluator {
     23  public interface ISymbolicRegressionMultiObjectiveEvaluator : ISymbolicRegressionEvaluator, ISymbolicDataAnalysisMultiObjectiveEvaluator<IRegressionProblemData> {
    2424  }
    2525}

  • branches/DataAnalysis Refactoring/HeuristicLab.Problems.DataAnalysis.Symbolic.Regression/3.4/Interfaces/ISymbolicRegressionSingleObjectiveEvaluator.cs

    r5500 r5509  
    2121
    2222namespace HeuristicLab.Problems.DataAnalysis.Symbolic.Regression {
    23   public interface ISymbolicRegressionSingleObjectiveEvaluator : ISymbolicRegressionEvaluator, ISymbolicDataAnalysisSingleObjectiveEvaluator {
     23  public interface ISymbolicRegressionSingleObjectiveEvaluator : ISymbolicRegressionEvaluator, ISymbolicDataAnalysisSingleObjectiveEvaluator<IRegressionProblemData> {
    2424  }
    2525}

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

    r5505 r5509  
    2424using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
    2525namespace HeuristicLab.Problems.DataAnalysis.Symbolic.Regression {
    26   public abstract class SymbolicRegressionMultiObjectiveEvaluator : SymbolicDataAnalysisMultiObjectiveEvaluator, ISymbolicRegressionMultiObjectiveEvaluator {
    27     public new IRegressionProblemData ProblemData {
    28       get { return (IRegressionProblemData)base.ProblemData; }
    29     }
    30 
     26  public abstract class SymbolicRegressionMultiObjectiveEvaluator : SymbolicDataAnalysisMultiObjectiveEvaluator<IRegressionProblemData>, ISymbolicRegressionMultiObjectiveEvaluator {
    3127    [StorableConstructor]
    3228    protected SymbolicRegressionMultiObjectiveEvaluator(bool deserializing) : base(deserializing) { }

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

    r5505 r5509  
    2424using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
    2525namespace HeuristicLab.Problems.DataAnalysis.Symbolic.Regression {
    26   public abstract class SymbolicRegressionSingleObjectiveEvaluator : SymbolicDataAnalysisSingleObjectiveEvaluator, ISymbolicRegressionSingleObjectiveEvaluator {
    27     public new IRegressionProblemData ProblemData {
    28       get { return (IRegressionProblemData)base.ProblemData; }
    29     }
    30 
     26  public abstract class SymbolicRegressionSingleObjectiveEvaluator : SymbolicDataAnalysisSingleObjectiveEvaluator<IRegressionProblemData>, ISymbolicRegressionSingleObjectiveEvaluator {
    3127    [StorableConstructor]
    3228    protected SymbolicRegressionSingleObjectiveEvaluator(bool deserializing) : base(deserializing) { }

  • branches/DataAnalysis Refactoring/HeuristicLab.Problems.DataAnalysis.Symbolic/3.4/Evaluators/SymbolicDataAnalysisEvaluator.cs

    r5500 r5509  
    3333
    3434namespace HeuristicLab.Problems.DataAnalysis.Symbolic {
    35   public abstract class SymbolicDataAnalysisEvaluator : SingleSuccessorOperator,
    36     ISymbolicDataAnalysisEvaluator, ISymbolicDataAnalysisBoundedEvaluator, ISymbolicDataAnalysisInterpreterOperator {
     35  public abstract class SymbolicDataAnalysisEvaluator<T> : SingleSuccessorOperator,
     36    ISymbolicDataAnalysisBoundedEvaluator<T>, ISymbolicDataAnalysisInterpreterOperator
     37  where T : class, IDataAnalysisProblemData {
    3738    private const string RandomParameterName = "Random";
    3839    private const string SymbolicExpressionTreeParameterName = "SymbolicExpressionTree";
    … …  
    5556      get { return (ILookupParameter<ISymbolicDataAnalysisTreeInterpreter>)Parameters[SymbolicExpressionTreeInterpreterParameterName]; }
    5657    }
    57     public ILookupParameter<IDataAnalysisProblemData> ProblemDataParameter {
    58       get { return (ILookupParameter<IDataAnalysisProblemData>)Parameters[ProblemDataParameterName]; }
     58    public ILookupParameter<T> ProblemDataParameter {
     59      get { return (ILookupParameter<T>)Parameters[ProblemDataParameterName]; }
    5960    }
    6061
    … …  
    7980
    8081    #region properties
    81     public IDataAnalysisProblemData ProblemData {
     82    public T ProblemData {
    8283      get { return ProblemDataParameter.ActualValue; }
    8384    }
    … …  
    102103    [StorableConstructor]
    103104    protected SymbolicDataAnalysisEvaluator(bool deserializing) : base(deserializing) { }
    104     protected SymbolicDataAnalysisEvaluator(SymbolicDataAnalysisEvaluator original, Cloner cloner)
     105    protected SymbolicDataAnalysisEvaluator(SymbolicDataAnalysisEvaluator<T> original, Cloner cloner)
    105106      : base(original, cloner) {
    106107    }
    … …  
    108109      : base() {
    109110      Parameters.Add(new LookupParameter<IRandom>(RandomParameterName, "The random generator to use."));
    110       Parameters.Add(new LookupParameter<ISymbolicDataAnalysisTreeInterpreter>(SymbolicExpressionTreeInterpreterParameterName, "The interpreter that should be used to calculate the output values of the symbolic expression tree."));
    111       Parameters.Add(new LookupParameter<SymbolicExpressionTree>(SymbolicExpressionTreeInterpreterParameterName, "The symbolic regression solution encoded as a symbolic expression tree."));
    112       Parameters.Add(new LookupParameter<IDataAnalysisProblemData>(ProblemDataParameterName, "The problem data on which the symbolic regression solution should be evaluated."));
    113       Parameters.Add(new ValueLookupParameter<IntValue>(SamplesStartParameterName, "The start index of the dataset partition on which the symbolic regression solution should be evaluated."));
    114       Parameters.Add(new ValueLookupParameter<IntValue>(SamplesEndParameterName, "The end index of the dataset partition on which the symbolic regression solution should be evaluated."));
    115       Parameters.Add(new ValueLookupParameter<DoubleValue>(UpperEstimationLimitParameterName, "The upper limit that should be used as cut off value for the output values of symbolic expression trees."));
    116       Parameters.Add(new ValueLookupParameter<DoubleValue>(LowerEstimationLimitParameterName, "The lower limit that should be used as cut off value for the output values of symbolic expression trees."));
     111      Parameters.Add(new LookupParameter<ISymbolicDataAnalysisTreeInterpreter>(SymbolicExpressionTreeInterpreterParameterName, "The interpreter that should be used to calculate the output values of the symbolic data analysis tree."));
     112      Parameters.Add(new LookupParameter<SymbolicExpressionTree>(SymbolicExpressionTreeInterpreterParameterName, "The symbolic data analysis solution encoded as a symbolic expression tree."));
     113      Parameters.Add(new LookupParameter<T>(ProblemDataParameterName, "The problem data on which the symbolic data analysis solution should be evaluated."));
     114      Parameters.Add(new ValueLookupParameter<IntValue>(SamplesStartParameterName, "The start index of the dataset partition on which the symbolic data analysis solution should be evaluated."));
     115      Parameters.Add(new ValueLookupParameter<IntValue>(SamplesEndParameterName, "The end index of the dataset partition on which the symbolic data analysis solution should be evaluated."));
     116      Parameters.Add(new ValueLookupParameter<DoubleValue>(UpperEstimationLimitParameterName, "The upper limit that should be used as cut off value for the output values of symbolic data analysis trees."));
     117      Parameters.Add(new ValueLookupParameter<DoubleValue>(LowerEstimationLimitParameterName, "The lower limit that should be used as cut off value for the output values of symbolic data analysis trees."));
    117118      Parameters.Add(new ValueParameter<PercentValue>(RelativeNumberOfEvaluatedSamplesParameterName, "The relative number of samples of the dataset partition, which should be randomly chosen for evaluation between the start and end index.", new PercentValue(1)));
    118119    }

  • branches/DataAnalysis Refactoring/HeuristicLab.Problems.DataAnalysis.Symbolic/3.4/Evaluators/SymbolicDataAnalysisMultiObjectiveEvaluator.cs

    r5507 r5509  
    2828
    2929namespace HeuristicLab.Problems.DataAnalysis.Symbolic {
    30   public abstract class SymbolicDataAnalysisMultiObjectiveEvaluator : SymbolicDataAnalysisEvaluator, ISymbolicDataAnalysisMultiObjectiveEvaluator {
     30  public abstract class SymbolicDataAnalysisMultiObjectiveEvaluator<T> : SymbolicDataAnalysisEvaluator<T>, ISymbolicDataAnalysisMultiObjectiveEvaluator<T>
     31   where T : class, IDataAnalysisProblemData {
    3132    private const string QualitiesParameterName = "Qualities";
    3233    public ILookupParameter<DoubleArray> QualitiesParameter {
    … …  
    3839    [StorableConstructor]
    3940    protected SymbolicDataAnalysisMultiObjectiveEvaluator(bool deserializing) : base(deserializing) { }
    40     protected SymbolicDataAnalysisMultiObjectiveEvaluator(SymbolicDataAnalysisMultiObjectiveEvaluator original, Cloner cloner)
     41    protected SymbolicDataAnalysisMultiObjectiveEvaluator(SymbolicDataAnalysisMultiObjectiveEvaluator<T> original, Cloner cloner)
    4142      : base(original, cloner) {
    4243    }

  • branches/DataAnalysis Refactoring/HeuristicLab.Problems.DataAnalysis.Symbolic/3.4/Evaluators/SymbolicDataAnalysisSingleObjectiveEvaluator.cs

    r5500 r5509  
    2727
    2828namespace HeuristicLab.Problems.DataAnalysis.Symbolic {
    29   public abstract class SymbolicDataAnalysisSingleObjectiveEvaluator : SymbolicDataAnalysisEvaluator, ISymbolicDataAnalysisSingleObjectiveEvaluator {
     29  public abstract class SymbolicDataAnalysisSingleObjectiveEvaluator<T> : SymbolicDataAnalysisEvaluator<T>, ISymbolicDataAnalysisSingleObjectiveEvaluator<T>
     30   where T : class, IDataAnalysisProblemData {
    3031    private const string QualityParameterName = "Quality";
    3132    public ILookupParameter<DoubleValue> QualityParameter {
    … …  
    3738    [StorableConstructor]
    3839    protected SymbolicDataAnalysisSingleObjectiveEvaluator(bool deserializing) : base(deserializing) { }
    39     protected SymbolicDataAnalysisSingleObjectiveEvaluator(SymbolicDataAnalysisSingleObjectiveEvaluator original, Cloner cloner)
     40    protected SymbolicDataAnalysisSingleObjectiveEvaluator(SymbolicDataAnalysisSingleObjectiveEvaluator<T> original, Cloner cloner)
    4041      : base(original, cloner) {
    4142    }

  • branches/DataAnalysis Refactoring/HeuristicLab.Problems.DataAnalysis.Symbolic/3.4/Interfaces/ISymbolicDataAnalysisBoundedEvaluator.cs

    r5495 r5509  
    2424using HeuristicLab.Data;
    2525namespace HeuristicLab.Problems.DataAnalysis.Symbolic {
    26   public interface ISymbolicDataAnalysisBoundedEvaluator : ISymbolicDataAnalysisEvaluator {
     26  public interface ISymbolicDataAnalysisBoundedEvaluator<T> : ISymbolicDataAnalysisEvaluator<T>
     27   where T : class, IDataAnalysisProblemData {
    2728    IValueLookupParameter<DoubleValue> UpperEstimationLimitParameter { get; }
    2829    IValueLookupParameter<DoubleValue> LowerEstimationLimitParameter { get; }

  • branches/DataAnalysis Refactoring/HeuristicLab.Problems.DataAnalysis.Symbolic/3.4/Interfaces/ISymbolicDataAnalysisEvaluator.cs

    r5500 r5509  
    2323using HeuristicLab.Encodings.SymbolicExpressionTreeEncoding;
    2424namespace HeuristicLab.Problems.DataAnalysis.Symbolic {
    25   public interface ISymbolicDataAnalysisEvaluator : IDataAnalysisEvaluator {
     25  public interface ISymbolicDataAnalysisEvaluator<T> : IDataAnalysisEvaluator<T>
     26   where T : class, IDataAnalysisProblemData {
    2627    ILookupParameter<SymbolicExpressionTree> SymbolicExpressionTreeParameter { get; }
    2728    IValueLookupParameter<IntValue> SamplesStartParameter { get; }

  • branches/DataAnalysis Refactoring/HeuristicLab.Problems.DataAnalysis.Symbolic/3.4/Interfaces/ISymbolicDataAnalysisMultiObjectiveEvaluator.cs

    r5498 r5509  
    2525
    2626namespace HeuristicLab.Problems.DataAnalysis.Symbolic {
    27   public interface ISymbolicDataAnalysisMultiObjectiveEvaluator : ISymbolicDataAnalysisEvaluator, IMultiObjectiveEvaluator {
     27  public interface ISymbolicDataAnalysisMultiObjectiveEvaluator<T> : ISymbolicDataAnalysisEvaluator<T>, IMultiObjectiveEvaluator
     28   where T : class, IDataAnalysisProblemData {
    2829    IEnumerable<bool> Maximization { get; }
    2930  }

  • branches/DataAnalysis Refactoring/HeuristicLab.Problems.DataAnalysis.Symbolic/3.4/Interfaces/ISymbolicDataAnalysisSingleObjectiveEvaluator.cs

    r5498 r5509  
    2323using HeuristicLab.Optimization;
    2424namespace HeuristicLab.Problems.DataAnalysis.Symbolic {
    25   public interface ISymbolicDataAnalysisSingleObjectiveEvaluator : ISymbolicDataAnalysisEvaluator, ISingleObjectiveEvaluator {
     25  public interface ISymbolicDataAnalysisSingleObjectiveEvaluator<T> : ISymbolicDataAnalysisEvaluator<T>, ISingleObjectiveEvaluator
     26   where T : class, IDataAnalysisProblemData {
    2627    bool Maximization { get; }
    2728  }

  • branches/DataAnalysis Refactoring/HeuristicLab.Problems.DataAnalysis.Symbolic/3.4/Interfaces/ISymbolicDataAnalysisSolutionCreator.cs

    r5495 r5509  
    2222using HeuristicLab.Encodings.SymbolicExpressionTreeEncoding;
    2323namespace HeuristicLab.Problems.DataAnalysis.Symbolic {
    24   public interface ISymbolicDataAnalysisSolutionCreator : ISymbolicExpressionTreeCreator {
     24  public interface ISymbolicDataAnalysisSolutionCreator<T> : ISymbolicExpressionTreeCreator, IDataAnalysisSolutionCreator<T>
     25  where T : class, IDataAnalysisProblemData {
    2526  }
    2627}

  • branches/DataAnalysis Refactoring/HeuristicLab.Problems.DataAnalysis/3.4/Interfaces/Classification/IClassificationEvaluator.cs

    r5501 r5509  
    2121
    2222namespace HeuristicLab.Problems.DataAnalysis {
    23   public interface IClassificationEvaluator : IDataAnalysisEvaluator {
    24     new IClassificationProblemData ProblemData { get; }
    25   }
     23  public interface IClassificationEvaluator : IDataAnalysisEvaluator<IClassificationProblemData> { }
    2624}

  • branches/DataAnalysis Refactoring/HeuristicLab.Problems.DataAnalysis/3.4/Interfaces/Classification/IClassificationProblem.cs

    r5501 r5509  
    2121
    2222namespace HeuristicLab.Problems.DataAnalysis {
    23   public interface IClassificationProblem : IDataAnalysisProblem {
    24     new IClassificationProblemData ProblemData { get; }
    25     new IClassificationEvaluator Evaluator { get; }
     23  public interface IClassificationProblem : IDataAnalysisProblem<IClassificationProblemData> {
    2624    new IClassificationSolutionCreator SolutionCreator { get; }
    2725  }

  • branches/DataAnalysis Refactoring/HeuristicLab.Problems.DataAnalysis/3.4/Interfaces/Classification/IClassificationSolution.cs

    r5501 r5509  
    2020#endregion
    2121
     22using System;
     23using System.Collections.Generic;
    2224namespace HeuristicLab.Problems.DataAnalysis {
    2325  public interface IClassificationSolution : IDataAnalysisSolution {
    2426    new IClassificationModel Model { get; }
    2527    new IClassificationProblemData ProblemData { get; }
     28
     29    IEnumerable<double> EstimatedValues { get; }
     30    IEnumerable<double> EstimatedTrainingValues { get; }
     31    IEnumerable<double> EstimatedTestValues { get; }
     32    IEnumerable<double> GetEstimatedValues(IEnumerable<int> rows);
     33
     34    IEnumerable<double> Thresholds { get; }
     35    IEnumerable<double> EstimatedClassValues { get; }
     36    IEnumerable<double> EstimatedTrainingClassValues { get; }
     37    IEnumerable<double> EstimatedTestClassValues { get; }
     38    IEnumerable<double> GetEstimatedClassValues(IEnumerable<int> rows);
     39
     40    event EventHandler ThresholdsChanged;
    2641  }
    2742}

  • branches/DataAnalysis Refactoring/HeuristicLab.Problems.DataAnalysis/3.4/Interfaces/Classification/IClassificationSolutionCreator.cs

    r5501 r5509  
    2121
    2222namespace HeuristicLab.Problems.DataAnalysis {
    23   public interface IClassificationSolutionCreator : IDataAnalysisSolutionCreator {
     23  public interface IClassificationSolutionCreator : IDataAnalysisSolutionCreator<IClassificationProblemData> {
    2424  }
    2525}

  • branches/DataAnalysis Refactoring/HeuristicLab.Problems.DataAnalysis/3.4/Interfaces/IDataAnalysisEvaluator.cs

    r5500 r5509  
    2424
    2525namespace HeuristicLab.Problems.DataAnalysis {
    26   public interface IDataAnalysisEvaluator : IEvaluator {
    27     IValueLookupParameter<IDataAnalysisProblemData> ProblemDataParameter { get; }
    28     IDataAnalysisProblemData ProblemData { get; }
     26  public interface IDataAnalysisEvaluator<T> : IEvaluator
     27   where T : class, IDataAnalysisProblemData {
     28    IValueLookupParameter<T> ProblemDataParameter { get; }
     29    T ProblemData { get; }
    2930  }
    3031}

  • branches/DataAnalysis Refactoring/HeuristicLab.Problems.DataAnalysis/3.4/Interfaces/IDataAnalysisProblem.cs

    r5486 r5509  
    2323
    2424namespace HeuristicLab.Problems.DataAnalysis {
    25   public interface IDataAnalysisProblem : IProblem {
    26     IDataAnalysisProblemData ProblemData { get; }
    27     new IDataAnalysisEvaluator Evaluator { get; }
    28     new IDataAnalysisSolutionCreator SolutionCreator { get; }
     25  public interface IDataAnalysisProblem<T> : IProblem
     26  where T : class, IDataAnalysisProblemData {
     27    T ProblemData { get; }
     28    new IDataAnalysisEvaluator<T> Evaluator { get; }
     29    new IDataAnalysisSolutionCreator<T> SolutionCreator { get; }
    2930  }
    3031}

  • branches/DataAnalysis Refactoring/HeuristicLab.Problems.DataAnalysis/3.4/Interfaces/IDataAnalysisProblemData.cs

    r5500 r5509  
    2020#endregion
    2121
     22using System;
    2223using System.Collections.Generic;
    2324using HeuristicLab.Core;
    … …  
    3233    int TestSamplesStart { get; }
    3334    int TestSamplesEnd { get; }
     35
     36    event EventHandler Changed;
    3437  }
    3538}

  • branches/DataAnalysis Refactoring/HeuristicLab.Problems.DataAnalysis/3.4/Interfaces/IDataAnalysisSolutionCreator.cs

    r5484 r5509  
    2020#endregion
    2121
     22using HeuristicLab.Core;
    2223using HeuristicLab.Optimization;
    2324
    2425namespace HeuristicLab.Problems.DataAnalysis {
    25   public interface IDataAnalysisSolutionCreator : ISolutionCreator {
     26  public interface IDataAnalysisSolutionCreator<T> : ISolutionCreator
     27  where T : class, IDataAnalysisProblemData {
     28    IValueLookupParameter<T> ProblemDataParameter { get; }
     29    T ProblemData { get; }
    2630  }
    2731}

  • branches/DataAnalysis Refactoring/HeuristicLab.Problems.DataAnalysis/3.4/Interfaces/Regression/IRegressionEvaluator.cs

    r5500 r5509  
    2121
    2222namespace HeuristicLab.Problems.DataAnalysis {
    23   public interface IRegressionEvaluator : IDataAnalysisEvaluator {
    24     new IRegressionProblemData ProblemData { get; }
     23  public interface IRegressionEvaluator : IDataAnalysisEvaluator<IRegressionProblemData> {
    2524  }
    2625}

  • branches/DataAnalysis Refactoring/HeuristicLab.Problems.DataAnalysis/3.4/Interfaces/Regression/IRegressionProblem.cs

    r5500 r5509  
    2121
    2222namespace HeuristicLab.Problems.DataAnalysis {
    23   public interface IRegressionProblem : IDataAnalysisProblem {
    24     new IRegressionProblemData ProblemData { get; }
    25     new IRegressionEvaluator Evaluator { get; }
     23  public interface IRegressionProblem : IDataAnalysisProblem<IRegressionProblemData> {
    2624    new IRegressionSolutionCreator SolutionCreator { get; }
    2725  }

  • branches/DataAnalysis Refactoring/HeuristicLab.Problems.DataAnalysis/3.4/Interfaces/Regression/IRegressionSolutionCreator.cs

    r5496 r5509  
    2121
    2222namespace HeuristicLab.Problems.DataAnalysis {
    23   public interface IRegressionSolutionCreator : IDataAnalysisSolutionCreator {
     23  public interface IRegressionSolutionCreator : IDataAnalysisSolutionCreator<IRegressionProblemData> {
    2424  }
    2525}
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