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Changeset 8169


Ignore:
Timestamp:
06/30/12 17:43:34 (12 years ago)
Author:
gkronber
Message:

#1823 moved parameters up into the base classes of ParetoBestSolutionAnalyzers

Location:
trunk/sources
Files:
7 edited

Legend:

Unmodified
Added
Removed

  • trunk/sources/HeuristicLab.Problems.DataAnalysis.Symbolic.Classification/3.4/SingleObjective/SymbolicClassificationSingleObjectiveTrainingParetoBestSolutionAnalyzer.cs

    r7734 r8169  
    3333  [Item("SymbolicClassificationSingleObjectiveTrainingParetoBestSolutionAnalyzer", "An operator that collects the training Pareto-best symbolic classification solutions for single objective symbolic classification problems.")]
    3434  [StorableClass]
    35   public sealed class SymbolicClassificationSingleObjectiveTrainingParetoBestSolutionAnalyzer : SymbolicDataAnalysisSingleObjectiveTrainingParetoBestSolutionAnalyzer<ISymbolicClassificationSolution>,
    36   ISymbolicDataAnalysisInterpreterOperator, ISymbolicDataAnalysisBoundedOperator {
    37     private const string ProblemDataParameterName = "ProblemData";
    38     private const string SymbolicDataAnalysisTreeInterpreterParameterName = "SymbolicDataAnalysisTreeInterpreter";
    39     private const string EstimationLimitsParameterName = "EstimationLimits";
     35  public sealed class SymbolicClassificationSingleObjectiveTrainingParetoBestSolutionAnalyzer : SymbolicDataAnalysisSingleObjectiveTrainingParetoBestSolutionAnalyzer<IClassificationProblemData, ISymbolicClassificationSolution> {
    4036    private const string ApplyLinearScalingParameterName = "ApplyLinearScaling";
    4137    #region parameter properties
    42     public ILookupParameter<IClassificationProblemData> ProblemDataParameter {
    43       get { return (ILookupParameter<IClassificationProblemData>)Parameters[ProblemDataParameterName]; }
    44     }
    45     public ILookupParameter<ISymbolicDataAnalysisExpressionTreeInterpreter> SymbolicDataAnalysisTreeInterpreterParameter {
    46       get { return (ILookupParameter<ISymbolicDataAnalysisExpressionTreeInterpreter>)Parameters[SymbolicDataAnalysisTreeInterpreterParameterName]; }
    47     }
    48     public IValueLookupParameter<DoubleLimit> EstimationLimitsParameter {
    49       get { return (IValueLookupParameter<DoubleLimit>)Parameters[EstimationLimitsParameterName]; }
    50     }
    5138    public IValueParameter<BoolValue> ApplyLinearScalingParameter {
    5239      get { return (IValueParameter<BoolValue>)Parameters[ApplyLinearScalingParameterName]; }
    … …  
    6552    public SymbolicClassificationSingleObjectiveTrainingParetoBestSolutionAnalyzer()
    6653      : base() {
    67       Parameters.Add(new LookupParameter<IClassificationProblemData>(ProblemDataParameterName, "The problem data for the symbolic classification solution."));
    68       Parameters.Add(new LookupParameter<ISymbolicDataAnalysisExpressionTreeInterpreter>(SymbolicDataAnalysisTreeInterpreterParameterName, "The symbolic data analysis tree interpreter for the symbolic expression tree."));
    69       Parameters.Add(new ValueLookupParameter<DoubleLimit>(EstimationLimitsParameterName, "The lower and upper limit for the estimated values produced by the symbolic classification model."));
    7054      Parameters.Add(new ValueParameter<BoolValue>(ApplyLinearScalingParameterName, "Flag that indicates if the produced symbolic classification solution should be linearly scaled.", new BoolValue(false)));
    7155    }

  • trunk/sources/HeuristicLab.Problems.DataAnalysis.Symbolic.Classification/3.4/SingleObjective/SymbolicClassificationSingleObjectiveValidationParetoBestSolutionAnalyzer.cs

    r7734 r8169  
    3333  [Item("SymbolicClassificationSingleObjectiveValidationParetoBestSolutionAnalyzer", "An operator that collects the validation Pareto-best symbolic classification solutions for single objective symbolic classification problems.")]
    3434  [StorableClass]
    35   public sealed class SymbolicClassificationSingleObjectiveValidationParetoBestSolutionAnalyzer : SymbolicDataAnalysisSingleObjectiveValidationParetoBestSolutionAnalyzer<ISymbolicClassificationSolution, ISymbolicClassificationSingleObjectiveEvaluator, IClassificationProblemData>,
    36   ISymbolicDataAnalysisInterpreterOperator, ISymbolicDataAnalysisBoundedOperator {
    37     private const string EstimationLimitsParameterName = "EstimationLimits";
     35  public sealed class SymbolicClassificationSingleObjectiveValidationParetoBestSolutionAnalyzer : SymbolicDataAnalysisSingleObjectiveValidationParetoBestSolutionAnalyzer<ISymbolicClassificationSolution, ISymbolicClassificationSingleObjectiveEvaluator, IClassificationProblemData> {
    3836    private const string ApplyLinearScalingParameterName = "ApplyLinearScaling";
    3937    #region parameter properties
    40     public IValueLookupParameter<DoubleLimit> EstimationLimitsParameter {
    41       get { return (IValueLookupParameter<DoubleLimit>)Parameters[EstimationLimitsParameterName]; }
    42     }
    4338    public IValueParameter<BoolValue> ApplyLinearScalingParameter {
    4439      get { return (IValueParameter<BoolValue>)Parameters[ApplyLinearScalingParameterName]; }
    … …  
    5752    public SymbolicClassificationSingleObjectiveValidationParetoBestSolutionAnalyzer()
    5853      : base() {
    59       Parameters.Add(new ValueLookupParameter<DoubleLimit>(EstimationLimitsParameterName, "The lower and upper limit for the estimated values produced by the symbolic classification model."));
    6054      Parameters.Add(new ValueParameter<BoolValue>(ApplyLinearScalingParameterName, "Flag that indicates if the produced symbolic classification solution should be linearly scaled.", new BoolValue(false)));
    6155    }

  • trunk/sources/HeuristicLab.Problems.DataAnalysis.Symbolic.Regression/3.4/SingleObjective/SymbolicRegressionSingleObjectiveTrainingParetoBestSolutionAnalyzer.cs

    r7726 r8169  
    3333  [Item("SymbolicRegressionSingleObjectiveTrainingParetoBestSolutionAnalyzer", "An operator that collects the training Pareto-best symbolic regression solutions for single objective symbolic regression problems.")]
    3434  [StorableClass]
    35   public sealed class SymbolicRegressionSingleObjectiveTrainingParetoBestSolutionAnalyzer : SymbolicDataAnalysisSingleObjectiveTrainingParetoBestSolutionAnalyzer<ISymbolicRegressionSolution>,
    36   ISymbolicDataAnalysisInterpreterOperator, ISymbolicDataAnalysisBoundedOperator {
    37     private const string ProblemDataParameterName = "ProblemData";
    38     private const string SymbolicDataAnalysisTreeInterpreterParameterName = "SymbolicDataAnalysisTreeInterpreter";
    39     private const string EstimationLimitsParameterName = "EstimationLimits";
     35  public sealed class SymbolicRegressionSingleObjectiveTrainingParetoBestSolutionAnalyzer : SymbolicDataAnalysisSingleObjectiveTrainingParetoBestSolutionAnalyzer<IRegressionProblemData, ISymbolicRegressionSolution> {
    4036    private const string ApplyLinearScalingParameterName = "ApplyLinearScaling";
    4137    #region parameter properties
    42     public ILookupParameter<IRegressionProblemData> ProblemDataParameter {
    43       get { return (ILookupParameter<IRegressionProblemData>)Parameters[ProblemDataParameterName]; }
    44     }
    45     public ILookupParameter<ISymbolicDataAnalysisExpressionTreeInterpreter> SymbolicDataAnalysisTreeInterpreterParameter {
    46       get { return (ILookupParameter<ISymbolicDataAnalysisExpressionTreeInterpreter>)Parameters[SymbolicDataAnalysisTreeInterpreterParameterName]; }
    47     }
    48     public IValueLookupParameter<DoubleLimit> EstimationLimitsParameter {
    49       get { return (IValueLookupParameter<DoubleLimit>)Parameters[EstimationLimitsParameterName]; }
    50     }
    5138    public IValueParameter<BoolValue> ApplyLinearScalingParameter {
    5239      get { return (IValueParameter<BoolValue>)Parameters[ApplyLinearScalingParameterName]; }
    … …  
    6552    public SymbolicRegressionSingleObjectiveTrainingParetoBestSolutionAnalyzer()
    6653      : base() {
    67       Parameters.Add(new LookupParameter<IRegressionProblemData>(ProblemDataParameterName, "The problem data for the symbolic regression solution."));
    68       Parameters.Add(new LookupParameter<ISymbolicDataAnalysisExpressionTreeInterpreter>(SymbolicDataAnalysisTreeInterpreterParameterName, "The symbolic data analysis tree interpreter for the symbolic expression tree."));
    69       Parameters.Add(new ValueLookupParameter<DoubleLimit>(EstimationLimitsParameterName, "The lower and upper limit for the estimated values produced by the symbolic regression model."));
    7054      Parameters.Add(new ValueParameter<BoolValue>(ApplyLinearScalingParameterName, "Flag that indicates if the produced symbolic regression solution should be linearly scaled.", new BoolValue(true)));
    7155    }

  • trunk/sources/HeuristicLab.Problems.DataAnalysis.Symbolic.Regression/3.4/SingleObjective/SymbolicRegressionSingleObjectiveValidationParetoBestSolutionAnalyzer.cs

    r7734 r8169  
    3333  [Item("SymbolicRegressionSingleObjectiveValidationParetoBestSolutionAnalyzer", "An operator that collects the validation Pareto-best symbolic regression solutions for single objective symbolic regression problems.")]
    3434  [StorableClass]
    35   public sealed class SymbolicRegressionSingleObjectiveValidationParetoBestSolutionAnalyzer : SymbolicDataAnalysisSingleObjectiveValidationParetoBestSolutionAnalyzer<ISymbolicRegressionSolution, ISymbolicRegressionSingleObjectiveEvaluator, IRegressionProblemData>,
    36   ISymbolicDataAnalysisInterpreterOperator, ISymbolicDataAnalysisBoundedOperator {
    37     private const string EstimationLimitsParameterName = "EstimationLimits";
     35  public sealed class SymbolicRegressionSingleObjectiveValidationParetoBestSolutionAnalyzer : SymbolicDataAnalysisSingleObjectiveValidationParetoBestSolutionAnalyzer<ISymbolicRegressionSolution, ISymbolicRegressionSingleObjectiveEvaluator, IRegressionProblemData> {
    3836    private const string ApplyLinearScalingParameterName = "ApplyLinearScaling";
    3937    #region parameter properties
    40     public IValueLookupParameter<DoubleLimit> EstimationLimitsParameter {
    41       get { return (IValueLookupParameter<DoubleLimit>)Parameters[EstimationLimitsParameterName]; }
    42     }
    4338    public IValueParameter<BoolValue> ApplyLinearScalingParameter {
    4439      get { return (IValueParameter<BoolValue>)Parameters[ApplyLinearScalingParameterName]; }
    … …  
    5752    public SymbolicRegressionSingleObjectiveValidationParetoBestSolutionAnalyzer()
    5853      : base() {
    59       Parameters.Add(new ValueLookupParameter<DoubleLimit>(EstimationLimitsParameterName, "The lower and upper limit for the estimated values produced by the symbolic regression model."));
    6054      Parameters.Add(new ValueParameter<BoolValue>(ApplyLinearScalingParameterName, "Flag that indicates if the produced symbolic regression solution should be linearly scaled.", new BoolValue(true)));
    6155    }

  • trunk/sources/HeuristicLab.Problems.DataAnalysis.Symbolic/3.4/Analyzers/SymbolicDataAnalysisSingleObjectiveTrainingParetoBestSolutionAnalyzer.cs

    r8126 r8169  
    2020#endregion
    2121
     22using System;
    2223using System.Collections.Generic;
    2324using System.Linq;
    … …  
    2627using HeuristicLab.Data;
    2728using HeuristicLab.Encodings.SymbolicExpressionTreeEncoding;
    28 using HeuristicLab.Operators;
    2929using HeuristicLab.Optimization;
    3030using HeuristicLab.Parameters;
    3131using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
    32 using System;
    3332
    3433namespace HeuristicLab.Problems.DataAnalysis.Symbolic {
    … …  
    3837  [Item("SymbolicDataAnalysisSingleObjectiveTrainingParetoBestSolutionAnalyzer", "An operator that analyzes the Pareto-best symbolic data analysis solution for single objective symbolic data analysis problems.")]
    3938  [StorableClass]
    40   public abstract class SymbolicDataAnalysisSingleObjectiveTrainingParetoBestSolutionAnalyzer<T> : SymbolicDataAnalysisSingleObjectiveAnalyzer
    41     where T : class, ISymbolicDataAnalysisSolution {
     39  public abstract class SymbolicDataAnalysisSingleObjectiveTrainingParetoBestSolutionAnalyzer<S, T> : SymbolicDataAnalysisSingleObjectiveAnalyzer, ISymbolicDataAnalysisInterpreterOperator, ISymbolicDataAnalysisBoundedOperator
     40    where T : class, ISymbolicDataAnalysisSolution
     41    where S : class, IDataAnalysisProblemData {
     42    private const string ProblemDataParameterName = "ProblemData";
    4243    private const string TrainingBestSolutionsParameterName = "Best training solutions";
    4344    private const string TrainingBestSolutionQualitiesParameterName = "Best training solution qualities";
    4445    private const string ComplexityParameterName = "Complexity";
     46    private const string SymbolicDataAnalysisTreeInterpreterParameterName = "SymbolicDataAnalysisTreeInterpreter";
     47    private const string EstimationLimitsParameterName = "EstimationLimits";
    4548
    4649    public override bool EnabledByDefault {
    … …  
    5861      get { return (IScopeTreeLookupParameter<DoubleValue>)Parameters[ComplexityParameterName]; }
    5962    }
     63    public ILookupParameter<ISymbolicDataAnalysisExpressionTreeInterpreter> SymbolicDataAnalysisTreeInterpreterParameter {
     64      get { return (ILookupParameter<ISymbolicDataAnalysisExpressionTreeInterpreter>)Parameters[SymbolicDataAnalysisTreeInterpreterParameterName]; }
     65    }
     66    public ILookupParameter<S> ProblemDataParameter {
     67      get { return (ILookupParameter<S>)Parameters[ProblemDataParameterName]; }
     68    }
     69    public IValueLookupParameter<DoubleLimit> EstimationLimitsParameter {
     70      get { return (IValueLookupParameter<DoubleLimit>)Parameters[EstimationLimitsParameterName]; }
     71    }
    6072    #endregion
    6173    #region properties
    … …  
    7284    [StorableConstructor]
    7385    protected SymbolicDataAnalysisSingleObjectiveTrainingParetoBestSolutionAnalyzer(bool deserializing) : base(deserializing) { }
    74     protected SymbolicDataAnalysisSingleObjectiveTrainingParetoBestSolutionAnalyzer(SymbolicDataAnalysisSingleObjectiveTrainingParetoBestSolutionAnalyzer<T> original, Cloner cloner) : base(original, cloner) { }
     86    protected SymbolicDataAnalysisSingleObjectiveTrainingParetoBestSolutionAnalyzer(SymbolicDataAnalysisSingleObjectiveTrainingParetoBestSolutionAnalyzer<S, T> original, Cloner cloner) : base(original, cloner) { }
    7587    public SymbolicDataAnalysisSingleObjectiveTrainingParetoBestSolutionAnalyzer()
    7688      : base() {
     89      Parameters.Add(new LookupParameter<S>(ProblemDataParameterName, "The problem data for the symbolic data analysis solution."));
    7790      Parameters.Add(new LookupParameter<ItemList<T>>(TrainingBestSolutionsParameterName, "The training best (Pareto-optimal) symbolic data analysis solutions."));
    7891      Parameters.Add(new LookupParameter<ItemList<DoubleArray>>(TrainingBestSolutionQualitiesParameterName, "The qualities of the training best (Pareto-optimal) solutions."));
    7992      Parameters.Add(new ScopeTreeLookupParameter<DoubleValue>(ComplexityParameterName, "The complexity of each tree."));
     93      Parameters.Add(new LookupParameter<ISymbolicDataAnalysisExpressionTreeInterpreter>(SymbolicDataAnalysisTreeInterpreterParameterName, "The symbolic data analysis tree interpreter for the symbolic expression tree."));
     94      Parameters.Add(new ValueLookupParameter<DoubleLimit>(EstimationLimitsParameterName, "The lower and upper limit for the estimated values produced by the symbolic classification model."));
    8095    }
    8196

  • trunk/sources/HeuristicLab.Problems.DataAnalysis.Symbolic/3.4/Analyzers/SymbolicDataAnalysisSingleObjectiveValidationParetoBestSolutionAnalyzer.cs

    r8126 r8169  
    2020#endregion
    2121
     22using System;
    2223using System.Collections.Generic;
    2324using System.Linq;
    … …  
    2627using HeuristicLab.Data;
    2728using HeuristicLab.Encodings.SymbolicExpressionTreeEncoding;
    28 using HeuristicLab.Operators;
    2929using HeuristicLab.Optimization;
    3030using HeuristicLab.Parameters;
    3131using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
    32 using System;
    3332
    3433namespace HeuristicLab.Problems.DataAnalysis.Symbolic {
    … …  
    3837  [Item("SymbolicDataAnalysisSingleObjectiveValidationParetoBestSolutionAnalyzer", "An operator that analyzes the Pareto-best symbolic data analysis solution for single objective symbolic data analysis problems.")]
    3938  [StorableClass]
    40   public abstract class SymbolicDataAnalysisSingleObjectiveValidationParetoBestSolutionAnalyzer<S, T, U> : SymbolicDataAnalysisSingleObjectiveValidationAnalyzer<T, U>
     39  public abstract class SymbolicDataAnalysisSingleObjectiveValidationParetoBestSolutionAnalyzer<S, T, U> : SymbolicDataAnalysisSingleObjectiveValidationAnalyzer<T, U>, ISymbolicDataAnalysisBoundedOperator
    4140    where S : class, ISymbolicDataAnalysisSolution
    4241    where T : class, ISymbolicDataAnalysisSingleObjectiveEvaluator<U>
    … …  
    4544    private const string ValidationBestSolutionQualitiesParameterName = "Best validation solution qualities";
    4645    private const string ComplexityParameterName = "Complexity";
     46    private const string EstimationLimitsParameterName = "EstimationLimits";
    4747
    4848    public override bool EnabledByDefault {
    … …  
    6060      get { return (IScopeTreeLookupParameter<DoubleValue>)Parameters[ComplexityParameterName]; }
    6161    }
     62    public IValueLookupParameter<DoubleLimit> EstimationLimitsParameter {
     63      get { return (IValueLookupParameter<DoubleLimit>)Parameters[EstimationLimitsParameterName]; }
     64    }
     65
    6266    #endregion
    6367    #region properties
    … …  
    8084      Parameters.Add(new LookupParameter<ItemList<DoubleArray>>(ValidationBestSolutionQualitiesParameterName, "The qualities of the validation best (Pareto-optimal) solutions."));
    8185      Parameters.Add(new ScopeTreeLookupParameter<DoubleValue>(ComplexityParameterName, "The complexity of each tree."));
     86      Parameters.Add(new ValueLookupParameter<DoubleLimit>(EstimationLimitsParameterName, "The lower and upper limit for the estimated values produced by the symbolic classification model."));
    8287    }
    8388

  • trunk/sources/HeuristicLab.Problems.DataAnalysis.Symbolic/3.4/SymbolicDataAnalysisProblem.cs

    r7823 r8169  
    203203      Operators.Add(new SymbolicExpressionSymbolFrequencyAnalyzer());
    204204      Operators.Add(new SymbolicDataAnalysisVariableFrequencyAnalyzer());
    205       Operators.Add(new SymbolicDataAnalysisComplexityAnalyzer());
    206205      Operators.Add(new MinAverageMaxSymbolicExpressionTreeLengthAnalyzer());
    207206      Operators.Add(new SymbolicExpressionTreeLengthAnalyzer());
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