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Timestamp:
06/28/16 13:33:17 (8 years ago)
Author:
mkommend
Message:

#2604:

  • Base classes for data analysis, classification, and regression models
  • Added target variable to classification and regression models
  • Switched parameter order in data analysis solutions (model, problemdata)
Location:
trunk/sources/HeuristicLab.Problems.DataAnalysis.Symbolic.Classification/3.4
Files:
17 edited

Legend:

Unmodified
Added
Removed

  • trunk/sources/HeuristicLab.Problems.DataAnalysis.Symbolic.Classification/3.4/Interfaces/ISymbolicClassificationModelCreator.cs

    r12012 r13941  
    2626namespace HeuristicLab.Problems.DataAnalysis.Symbolic.Classification {
    2727  public interface ISymbolicClassificationModelCreator : IItem {
    28     ISymbolicClassificationModel CreateSymbolicClassificationModel(ISymbolicExpressionTree tree, ISymbolicDataAnalysisExpressionTreeInterpreter interpreter, double lowerEstimationLimit, double upperEstimationLimit);
     28    ISymbolicClassificationModel CreateSymbolicClassificationModel(string targetVariable, ISymbolicExpressionTree tree, ISymbolicDataAnalysisExpressionTreeInterpreter interpreter, double lowerEstimationLimit, double upperEstimationLimit);
    2929  }
    3030}

  • trunk/sources/HeuristicLab.Problems.DataAnalysis.Symbolic.Classification/3.4/Interfaces/ISymbolicDiscriminantFunctionClassificationModelCreator.cs

    r12012 r13941  
    2525namespace HeuristicLab.Problems.DataAnalysis.Symbolic.Classification {
    2626  public interface ISymbolicDiscriminantFunctionClassificationModelCreator : ISymbolicClassificationModelCreator {
    27     ISymbolicDiscriminantFunctionClassificationModel CreateSymbolicDiscriminantFunctionClassificationModel(ISymbolicExpressionTree tree, ISymbolicDataAnalysisExpressionTreeInterpreter interpreter, double lowerEstimationLimit, double upperEstimationLimit);
     27    ISymbolicDiscriminantFunctionClassificationModel CreateSymbolicDiscriminantFunctionClassificationModel(string targetVariable, ISymbolicExpressionTree tree, ISymbolicDataAnalysisExpressionTreeInterpreter interpreter, double lowerEstimationLimit, double upperEstimationLimit);
    2828  }
    2929}

  • trunk/sources/HeuristicLab.Problems.DataAnalysis.Symbolic.Classification/3.4/ModelCreators/AccuracyMaximizingThresholdsModelCreator.cs

    r12012 r13941  
    4545
    4646
    47     public ISymbolicClassificationModel CreateSymbolicClassificationModel(ISymbolicExpressionTree tree, ISymbolicDataAnalysisExpressionTreeInterpreter interpreter, double lowerEstimationLimit = double.MinValue, double upperEstimationLimit = double.MaxValue) {
    48       return CreateSymbolicDiscriminantFunctionClassificationModel(tree, interpreter, lowerEstimationLimit, upperEstimationLimit);
     47    public ISymbolicClassificationModel CreateSymbolicClassificationModel(string targetVariable, ISymbolicExpressionTree tree, ISymbolicDataAnalysisExpressionTreeInterpreter interpreter, double lowerEstimationLimit = double.MinValue, double upperEstimationLimit = double.MaxValue) {
     48      return CreateSymbolicDiscriminantFunctionClassificationModel(targetVariable, tree, interpreter, lowerEstimationLimit, upperEstimationLimit);
    4949    }
    50     public ISymbolicDiscriminantFunctionClassificationModel CreateSymbolicDiscriminantFunctionClassificationModel(ISymbolicExpressionTree tree, ISymbolicDataAnalysisExpressionTreeInterpreter interpreter, double lowerEstimationLimit = double.MinValue, double upperEstimationLimit = double.MaxValue) {
    51       return new SymbolicDiscriminantFunctionClassificationModel(tree, interpreter, new AccuracyMaximizationThresholdCalculator(), lowerEstimationLimit, upperEstimationLimit);
     50    public ISymbolicDiscriminantFunctionClassificationModel CreateSymbolicDiscriminantFunctionClassificationModel(string targetVariable, ISymbolicExpressionTree tree, ISymbolicDataAnalysisExpressionTreeInterpreter interpreter, double lowerEstimationLimit = double.MinValue, double upperEstimationLimit = double.MaxValue) {
     51      return new SymbolicDiscriminantFunctionClassificationModel(targetVariable, tree, interpreter, new AccuracyMaximizationThresholdCalculator(), lowerEstimationLimit, upperEstimationLimit);
    5252    }
    5353

  • trunk/sources/HeuristicLab.Problems.DataAnalysis.Symbolic.Classification/3.4/ModelCreators/NearestNeighborModelCreator.cs

    r12012 r13941  
    5454
    5555
    56     public ISymbolicClassificationModel CreateSymbolicClassificationModel(ISymbolicExpressionTree tree, ISymbolicDataAnalysisExpressionTreeInterpreter interpreter, double lowerEstimationLimit = double.MinValue, double upperEstimationLimit = double.MaxValue) {
    57       return new SymbolicNearestNeighbourClassificationModel(KParameter.Value.Value, tree, interpreter, lowerEstimationLimit, upperEstimationLimit);
     56    public ISymbolicClassificationModel CreateSymbolicClassificationModel(string targetVariable, ISymbolicExpressionTree tree, ISymbolicDataAnalysisExpressionTreeInterpreter interpreter, double lowerEstimationLimit = double.MinValue, double upperEstimationLimit = double.MaxValue) {
     57      return new SymbolicNearestNeighbourClassificationModel(targetVariable, KParameter.Value.Value, tree, interpreter, lowerEstimationLimit, upperEstimationLimit);
    5858    }
    5959

  • trunk/sources/HeuristicLab.Problems.DataAnalysis.Symbolic.Classification/3.4/ModelCreators/NormalDistributedThresholdsModelCreator.cs

    r12012 r13941  
    4646
    4747
    48     public ISymbolicClassificationModel CreateSymbolicClassificationModel(ISymbolicExpressionTree tree, ISymbolicDataAnalysisExpressionTreeInterpreter interpreter, double lowerEstimationLimit = double.MinValue, double upperEstimationLimit = double.MaxValue) {
    49       return CreateSymbolicDiscriminantFunctionClassificationModel(tree, interpreter, lowerEstimationLimit, upperEstimationLimit);
     48    public ISymbolicClassificationModel CreateSymbolicClassificationModel(string targetVariable, ISymbolicExpressionTree tree, ISymbolicDataAnalysisExpressionTreeInterpreter interpreter, double lowerEstimationLimit = double.MinValue, double upperEstimationLimit = double.MaxValue) {
     49      return CreateSymbolicDiscriminantFunctionClassificationModel(targetVariable, tree, interpreter, lowerEstimationLimit, upperEstimationLimit);
    5050    }
    51     public ISymbolicDiscriminantFunctionClassificationModel CreateSymbolicDiscriminantFunctionClassificationModel(ISymbolicExpressionTree tree, ISymbolicDataAnalysisExpressionTreeInterpreter interpreter, double lowerEstimationLimit = double.MinValue, double upperEstimationLimit = double.MaxValue) {
    52       return new SymbolicDiscriminantFunctionClassificationModel(tree, interpreter, new NormalDistributionCutPointsThresholdCalculator(), lowerEstimationLimit, upperEstimationLimit);
     51    public ISymbolicDiscriminantFunctionClassificationModel CreateSymbolicDiscriminantFunctionClassificationModel(string targetVariable, ISymbolicExpressionTree tree, ISymbolicDataAnalysisExpressionTreeInterpreter interpreter, double lowerEstimationLimit = double.MinValue, double upperEstimationLimit = double.MaxValue) {
     52      return new SymbolicDiscriminantFunctionClassificationModel(targetVariable, tree, interpreter, new NormalDistributionCutPointsThresholdCalculator(), lowerEstimationLimit, upperEstimationLimit);
    5353    }
    5454

  • trunk/sources/HeuristicLab.Problems.DataAnalysis.Symbolic.Classification/3.4/MultiObjective/SymbolicClassificationMultiObjectiveTrainingBestSolutionAnalyzer.cs

    r12012 r13941  
    8181
    8282    protected override ISymbolicClassificationSolution CreateSolution(ISymbolicExpressionTree bestTree, double[] bestQuality) {
    83       var model = ModelCreatorParameter.ActualValue.CreateSymbolicClassificationModel((ISymbolicExpressionTree)bestTree.Clone(), SymbolicDataAnalysisTreeInterpreterParameter.ActualValue, EstimationLimitsParameter.ActualValue.Lower, EstimationLimitsParameter.ActualValue.Upper);
     83      var model = ModelCreatorParameter.ActualValue.CreateSymbolicClassificationModel(ProblemDataParameter.ActualValue.TargetVariable, (ISymbolicExpressionTree)bestTree.Clone(), SymbolicDataAnalysisTreeInterpreterParameter.ActualValue, EstimationLimitsParameter.ActualValue.Lower, EstimationLimitsParameter.ActualValue.Upper);
    8484      if (ApplyLinearScalingParameter.ActualValue.Value) model.Scale(ProblemDataParameter.ActualValue);
    8585

  • trunk/sources/HeuristicLab.Problems.DataAnalysis.Symbolic.Classification/3.4/MultiObjective/SymbolicClassificationMultiObjectiveValidationBestSolutionAnalyzer.cs

    r12012 r13941  
    7171
    7272    protected override ISymbolicClassificationSolution CreateSolution(ISymbolicExpressionTree bestTree, double[] bestQualities) {
    73       var model = ModelCreatorParameter.ActualValue.CreateSymbolicClassificationModel((ISymbolicExpressionTree)bestTree.Clone(), SymbolicDataAnalysisTreeInterpreterParameter.ActualValue, EstimationLimitsParameter.ActualValue.Lower, EstimationLimitsParameter.ActualValue.Upper);
     73      var model = ModelCreatorParameter.ActualValue.CreateSymbolicClassificationModel(ProblemDataParameter.ActualValue.TargetVariable, (ISymbolicExpressionTree)bestTree.Clone(), SymbolicDataAnalysisTreeInterpreterParameter.ActualValue, EstimationLimitsParameter.ActualValue.Lower, EstimationLimitsParameter.ActualValue.Upper);
    7474      if (ApplyLinearScalingParameter.ActualValue.Value) model.Scale(ProblemDataParameter.ActualValue);
    7575

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

    r12012 r13941  
    9191      ApplyLinearScalingParameter.ExecutionContext = context;
    9292
    93       var model = ModelCreatorParameter.ActualValue.CreateSymbolicClassificationModel(tree, SymbolicDataAnalysisTreeInterpreterParameter.ActualValue, EstimationLimitsParameter.ActualValue.Lower, EstimationLimitsParameter.ActualValue.Upper);
     93      var model = ModelCreatorParameter.ActualValue.CreateSymbolicClassificationModel(problemData.TargetVariable, tree, SymbolicDataAnalysisTreeInterpreterParameter.ActualValue, EstimationLimitsParameter.ActualValue.Lower, EstimationLimitsParameter.ActualValue.Upper);
    9494      if (ApplyLinearScalingParameter.ActualValue.Value) model.Scale(problemData);
    9595      model.RecalculateModelParameters(problemData, rows);

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

    r12012 r13941  
    8181
    8282    protected override ISymbolicClassificationSolution CreateSolution(ISymbolicExpressionTree bestTree, double bestQuality) {
    83       var model = ModelCreatorParameter.ActualValue.CreateSymbolicClassificationModel((ISymbolicExpressionTree)bestTree.Clone(), SymbolicDataAnalysisTreeInterpreterParameter.ActualValue, EstimationLimitsParameter.ActualValue.Lower, EstimationLimitsParameter.ActualValue.Upper);
     83      var model = ModelCreatorParameter.ActualValue.CreateSymbolicClassificationModel(ProblemDataParameter.ActualValue.TargetVariable, (ISymbolicExpressionTree)bestTree.Clone(), SymbolicDataAnalysisTreeInterpreterParameter.ActualValue, EstimationLimitsParameter.ActualValue.Lower, EstimationLimitsParameter.ActualValue.Upper);
    8484      if (ApplyLinearScalingParameter.ActualValue.Value) model.Scale(ProblemDataParameter.ActualValue);
    8585

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

    r12012 r13941  
    6464
    6565    protected override ISymbolicClassificationSolution CreateSolution(ISymbolicExpressionTree bestTree) {
    66       var model = ModelCreatorParameter.ActualValue.CreateSymbolicClassificationModel((ISymbolicExpressionTree)bestTree.Clone(), SymbolicDataAnalysisTreeInterpreterParameter.ActualValue, EstimationLimitsParameter.ActualValue.Lower, EstimationLimitsParameter.ActualValue.Upper);
     66      var model = ModelCreatorParameter.ActualValue.CreateSymbolicClassificationModel(ProblemDataParameter.ActualValue.TargetVariable, (ISymbolicExpressionTree)bestTree.Clone(), SymbolicDataAnalysisTreeInterpreterParameter.ActualValue, EstimationLimitsParameter.ActualValue.Lower, EstimationLimitsParameter.ActualValue.Upper);
    6767      if (ApplyLinearScalingParameter.ActualValue.Value) model.Scale(ProblemDataParameter.ActualValue);
    6868

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

    r12012 r13941  
    7171
    7272    protected override ISymbolicClassificationSolution CreateSolution(ISymbolicExpressionTree bestTree, double bestQuality) {
    73       var model = ModelCreatorParameter.ActualValue.CreateSymbolicClassificationModel((ISymbolicExpressionTree)bestTree.Clone(), SymbolicDataAnalysisTreeInterpreterParameter.ActualValue, EstimationLimitsParameter.ActualValue.Lower, EstimationLimitsParameter.ActualValue.Upper);
     73      var model = ModelCreatorParameter.ActualValue.CreateSymbolicClassificationModel(ProblemDataParameter.ActualValue.TargetVariable, (ISymbolicExpressionTree)bestTree.Clone(), SymbolicDataAnalysisTreeInterpreterParameter.ActualValue, EstimationLimitsParameter.ActualValue.Lower, EstimationLimitsParameter.ActualValue.Upper);
    7474      if (ApplyLinearScalingParameter.ActualValue.Value) model.Scale(ProblemDataParameter.ActualValue);
    7575

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

    r12012 r13941  
    6464
    6565    protected override ISymbolicClassificationSolution CreateSolution(ISymbolicExpressionTree bestTree) {
    66       var model = ModelCreatorParameter.ActualValue.CreateSymbolicClassificationModel((ISymbolicExpressionTree)bestTree.Clone(), SymbolicDataAnalysisTreeInterpreterParameter.ActualValue, EstimationLimitsParameter.ActualValue.Lower, EstimationLimitsParameter.ActualValue.Upper);
     66      var model = ModelCreatorParameter.ActualValue.CreateSymbolicClassificationModel(ProblemDataParameter.ActualValue.TargetVariable, (ISymbolicExpressionTree)bestTree.Clone(), SymbolicDataAnalysisTreeInterpreterParameter.ActualValue, EstimationLimitsParameter.ActualValue.Lower, EstimationLimitsParameter.ActualValue.Upper);
    6767      if (ApplyLinearScalingParameter.ActualValue.Value) model.Scale(ProblemDataParameter.ActualValue);
    6868

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

    r13921 r13941  
    4242    protected SymbolicClassificationModel(bool deserializing) : base(deserializing) { }
    4343
    44     protected SymbolicClassificationModel(SymbolicClassificationModel original, Cloner cloner) : base(original, cloner) {
     44    protected SymbolicClassificationModel(SymbolicClassificationModel original, Cloner cloner)
     45      : base(original, cloner) {
    4546      targetVariable = original.targetVariable;
    4647    }
    4748
    48     protected SymbolicClassificationModel(ISymbolicExpressionTree tree, ISymbolicDataAnalysisExpressionTreeInterpreter interpreter,
    49       double lowerEstimationLimit = double.MinValue, double upperEstimationLimit = double.MaxValue, string targetVariable = "Target")
     49    protected SymbolicClassificationModel(string targetVariable, ISymbolicExpressionTree tree, ISymbolicDataAnalysisExpressionTreeInterpreter interpreter, double lowerEstimationLimit = double.MinValue, double upperEstimationLimit = double.MaxValue)
    5050      : base(tree, interpreter, lowerEstimationLimit, upperEstimationLimit) {
    5151      this.targetVariable = targetVariable;

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

    r12422 r13941  
    125125        var evaluatedValues = new ItemArray<DoubleArray>(trees.Length);
    126126        for (int i = 0; i < trees.Length; ++i) {
    127           var model = (IDiscriminantFunctionClassificationModel)modelCreator.CreateSymbolicDiscriminantFunctionClassificationModel(trees[i], interpreter, estimationLimits.Lower, estimationLimits.Upper);
     127          var model = (IDiscriminantFunctionClassificationModel)modelCreator.CreateSymbolicDiscriminantFunctionClassificationModel(problemData.TargetVariable, trees[i], interpreter, estimationLimits.Lower, estimationLimits.Upper);
    128128          model.RecalculateModelParameters(problemData, rows);
    129129          var values = UseClassValues ? model.GetEstimatedClassValues(ds, rows) : model.GetEstimatedValues(ds, rows);

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

    r12744 r13941  
    7373
    7474    protected override ISymbolicDataAnalysisModel CreateModel(ISymbolicExpressionTree tree, ISymbolicDataAnalysisExpressionTreeInterpreter interpreter, IDataAnalysisProblemData problemData, DoubleLimit estimationLimits) {
    75       var model = ModelCreatorParameter.ActualValue.CreateSymbolicClassificationModel(tree, interpreter, estimationLimits.Lower, estimationLimits.Upper);
    7675      var classificationProblemData = (IClassificationProblemData)problemData;
     76      var model = ModelCreatorParameter.ActualValue.CreateSymbolicClassificationModel(classificationProblemData.TargetVariable, tree, interpreter, estimationLimits.Lower, estimationLimits.Upper);
     77
    7778      var rows = classificationProblemData.TrainingIndices;
    7879      model.RecalculateModelParameters(classificationProblemData, rows);
    … …  
    9394      double nodeImpactThreshold = 0.0, bool pruneOnlyZeroImpactNodes = false) {
    9495      var clonedTree = (ISymbolicExpressionTree)tree.Clone();
    95       var model = modelCreator.CreateSymbolicClassificationModel(clonedTree, interpreter, estimationLimits.Lower, estimationLimits.Upper);
     96      var model = modelCreator.CreateSymbolicClassificationModel(problemData.TargetVariable, clonedTree, interpreter, estimationLimits.Lower, estimationLimits.Upper);
    9697
    9798      var nodes = clonedTree.Root.GetSubtree(0).GetSubtree(0).IterateNodesPrefix().ToList();

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

    r12509 r13941  
    6565      thresholdCalculator = cloner.Clone(original.thresholdCalculator);
    6666    }
    67     public SymbolicDiscriminantFunctionClassificationModel(ISymbolicExpressionTree tree, ISymbolicDataAnalysisExpressionTreeInterpreter interpreter, IDiscriminantFunctionThresholdCalculator thresholdCalculator,
     67    public SymbolicDiscriminantFunctionClassificationModel(string targetVariable, ISymbolicExpressionTree tree, ISymbolicDataAnalysisExpressionTreeInterpreter interpreter, IDiscriminantFunctionThresholdCalculator thresholdCalculator,
    6868      double lowerEstimationLimit = double.MinValue, double upperEstimationLimit = double.MaxValue)
    69       : base(tree, interpreter, lowerEstimationLimit, upperEstimationLimit) {
     69      : base(targetVariable, tree, interpreter, lowerEstimationLimit, upperEstimationLimit) {
    7070      this.thresholds = new double[0];
    7171      this.classValues = new double[0];

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

    r12509 r13941  
    5555      trainedClasses = new List<double>(original.trainedClasses);
    5656    }
    57     public SymbolicNearestNeighbourClassificationModel(int k, ISymbolicExpressionTree tree, ISymbolicDataAnalysisExpressionTreeInterpreter interpreter, double lowerEstimationLimit = double.MinValue, double upperEstimationLimit = double.MaxValue)
    58       : base(tree, interpreter, lowerEstimationLimit, upperEstimationLimit) {
     57    public SymbolicNearestNeighbourClassificationModel(string targetVariable, int k, ISymbolicExpressionTree tree, ISymbolicDataAnalysisExpressionTreeInterpreter interpreter, double lowerEstimationLimit = double.MinValue, double upperEstimationLimit = double.MaxValue)
     58      : base(targetVariable, tree, interpreter, lowerEstimationLimit, upperEstimationLimit) {
    5959      this.k = k;
    6060      frequencyComparer = new ClassFrequencyComparer();
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