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Timestamp:
07/04/12 16:12:15 (12 years ago)
Author:
bburlacu
Message:

#1772: Performance improvements for the GenealogyGraph. Minor refactoring to VisualGenealogyGraphArc and VisualGenealogyGraphNode classes. Added new functionality to the SymbolicExpressionTreeFragmentsAnalyzer, minor refactoring in the other two analyzers. Refactored View code. Updated project references and plugin dependencies and added HeuristicLab.Problems.DataAnalysis.Symbolic to the branch.

Location:
branches/HeuristicLab.EvolutionaryTracking
Files:
1 deleted
3 edited
1 copied

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  • branches/HeuristicLab.EvolutionaryTracking

    • Property svn:ignore

      •  

        old new  
         1*.suo
        12_ReSharper.HeuristicLab.Tracking
        23bin

  • branches/HeuristicLab.EvolutionaryTracking/HeuristicLab.Problems.DataAnalysis.Symbolic

  • branches/HeuristicLab.EvolutionaryTracking/HeuristicLab.Problems.DataAnalysis.Symbolic/3.4/Analyzers/SymbolicDataAnalysisSingleObjectiveTrainingParetoBestSolutionAnalyzer.cs

    r8126 r8213  
    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

  • branches/HeuristicLab.EvolutionaryTracking/HeuristicLab.Problems.DataAnalysis.Symbolic/3.4/Analyzers/SymbolicDataAnalysisSingleObjectiveValidationParetoBestSolutionAnalyzer.cs

    r8126 r8213  
    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
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