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Changeset 7750


Ignore:
Timestamp:
04/23/12 16:50:08 (13 years ago)
Author:
sforsten
Message:

#1784:

  • merged Problems.DataAnalysis r7273:7748 from trunk
  • prepared SymbolicClassificationSingleObjectiveProblem and SymbolicRegressionSingleObjectiveProblem to load and export problem instances
Location:
branches/ProblemInstancesRegressionAndClassification
Files:
12 edited
1 copied

Legend:

Unmodified
Added
Removed

  • branches/ProblemInstancesRegressionAndClassification/HeuristicLab 3.3.sln

    r7682 r7750  
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     23EndProject
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     25EndProject
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    137173  GlobalSection(SolutionProperties) = preSolution

  • branches/ProblemInstancesRegressionAndClassification/HeuristicLab.Problems.DataAnalysis

  • branches/ProblemInstancesRegressionAndClassification/HeuristicLab.Problems.DataAnalysis.Symbolic.Classification/3.4/HeuristicLab.Problems.DataAnalysis.Symbolic.Classification-3.4.csproj

    r7734 r7750  
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  • branches/ProblemInstancesRegressionAndClassification/HeuristicLab.Problems.DataAnalysis.Symbolic.Classification/3.4/SingleObjective/SymbolicClassificationSingleObjectiveProblem.cs

    r7734 r7750  
    1919 */
    2020#endregion
     21using System;
     22using System.Collections.Generic;
    2123using System.Linq;
    2224using HeuristicLab.Common;
    … …  
    2426using HeuristicLab.Parameters;
    2527using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
     28using HeuristicLab.Problems.Instances;
    2629
    2730namespace HeuristicLab.Problems.DataAnalysis.Symbolic.Classification {
    … …  
    2932  [StorableClass]
    3033  [Creatable("Problems")]
    31   public class SymbolicClassificationSingleObjectiveProblem : SymbolicDataAnalysisSingleObjectiveProblem<IClassificationProblemData, ISymbolicClassificationSingleObjectiveEvaluator, ISymbolicDataAnalysisSolutionCreator>, IClassificationProblem {
     34  public class SymbolicClassificationSingleObjectiveProblem : SymbolicDataAnalysisSingleObjectiveProblem<IClassificationProblemData, ISymbolicClassificationSingleObjectiveEvaluator, ISymbolicDataAnalysisSolutionCreator>, IClassificationProblem,
     35    IProblemInstanceConsumer<ClassificationData>, IProblemInstanceExporter<ClassificationData> {
    3236    private const double PunishmentFactor = 10;
    3337    private const int InitialMaximumTreeDepth = 8;
    … …  
    113117      ProblemData = problemData;
    114118    }
     119
     120    public void Load(ClassificationData data) {
     121      Name = data.Name;
     122      Description = data.Description;
     123      Dataset dataset = new Dataset(data.InputVariables, data.Values);
     124      ProblemData = new ClassificationProblemData(dataset, data.AllowedInputVariables, data.TargetVariable);
     125      ProblemData.TrainingPartition.Start = data.TrainingPartitionStart;
     126      ProblemData.TrainingPartition.End = data.TrainingPartitionEnd;
     127      ProblemData.TestPartition.Start = data.TestPartitionStart;
     128      ProblemData.TestPartition.End = data.TestPartitionEnd;
     129      OnReset();
     130    }
     131
     132    public ClassificationData Export() {
     133      if (!ProblemData.InputVariables.Count.Equals(ProblemData.Dataset.DoubleVariables.Count()))
     134        throw new ArgumentException("Not all input variables are double variables! (Export only works with double variables)");
     135
     136      ClassificationData claData = new ClassificationData();
     137      claData.Name = Name;
     138      claData.Description = Description;
     139      claData.TargetVariable = ProblemData.TargetVariable;
     140      claData.InputVariables = ProblemData.InputVariables.Select(x => x.Value).ToArray();
     141      claData.AllowedInputVariables = ProblemData.AllowedInputVariables.ToArray();
     142      claData.TrainingPartitionStart = ProblemData.TrainingPartition.Start;
     143      claData.TrainingPartitionEnd = ProblemData.TrainingPartition.End;
     144      claData.TestPartitionStart = ProblemData.TestPartition.Start;
     145      claData.TestPartitionEnd = ProblemData.TestPartition.End;
     146
     147      List<List<double>> data = new List<List<double>>();
     148      foreach (var variable in ProblemData.Dataset.DoubleVariables) {
     149        data.Add(ProblemData.Dataset.GetDoubleValues(variable).ToList());
     150      }
     151      claData.Values = Transformer.Transformation(data);
     152
     153      return claData;
     154    }
    115155  }
    116156}

  • branches/ProblemInstancesRegressionAndClassification/HeuristicLab.Problems.DataAnalysis.Symbolic.Regression/3.4/HeuristicLab.Problems.DataAnalysis.Symbolic.Regression-3.4.csproj

    r7734 r7750  
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    5454    <ErrorReport>prompt</ErrorReport>
    … …  
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     113    <Reference Include="HeuristicLab.Encodings.SymbolicExpressionTreeEncoding-3.4">
     114      <HintPath>..\..\..\..\trunk\sources\bin\HeuristicLab.Encodings.SymbolicExpressionTreeEncoding-3.4.dll</HintPath>
     115    </Reference>
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     129      <HintPath>..\..\..\..\trunk\sources\bin\HeuristicLab.PluginInfrastructure-3.3.dll</HintPath>
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  • branches/ProblemInstancesRegressionAndClassification/HeuristicLab.Problems.DataAnalysis.Symbolic.Regression/3.4/SingleObjective/SymbolicRegressionSingleObjectiveProblem.cs

    r7734 r7750  
    2020#endregion
    2121
     22using System;
     23using System.Collections.Generic;
    2224using System.Linq;
    2325using HeuristicLab.Common;
    … …  
    2527using HeuristicLab.Parameters;
    2628using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
     29using HeuristicLab.Problems.Instances;
    2730
    2831namespace HeuristicLab.Problems.DataAnalysis.Symbolic.Regression {
    … …  
    3033  [StorableClass]
    3134  [Creatable("Problems")]
    32   public class SymbolicRegressionSingleObjectiveProblem : SymbolicDataAnalysisSingleObjectiveProblem<IRegressionProblemData, ISymbolicRegressionSingleObjectiveEvaluator, ISymbolicDataAnalysisSolutionCreator>, IRegressionProblem {
     35  public class SymbolicRegressionSingleObjectiveProblem : SymbolicDataAnalysisSingleObjectiveProblem<IRegressionProblemData, ISymbolicRegressionSingleObjectiveEvaluator, ISymbolicDataAnalysisSolutionCreator>, IRegressionProblem,
     36    IProblemInstanceConsumer<RegressionData>, IProblemInstanceExporter<RegressionData> {
    3337    private const double PunishmentFactor = 10;
    3438    private const int InitialMaximumTreeDepth = 8;
    … …  
    116120      ProblemData = problemData;
    117121    }
     122
     123    public void Load(RegressionData data) {
     124      Name = data.Name;
     125      Description = data.Description;
     126      Dataset dataset = new Dataset(data.InputVariables, data.Values);
     127      ProblemData = new RegressionProblemData(dataset, data.AllowedInputVariables, data.TargetVariable);
     128      ProblemData.TrainingPartition.Start = data.TrainingPartitionStart;
     129      ProblemData.TrainingPartition.End = data.TrainingPartitionEnd;
     130      ProblemData.TestPartition.Start = data.TestPartitionStart;
     131      ProblemData.TestPartition.End = data.TestPartitionEnd;
     132      OnReset();
     133    }
     134
     135    public RegressionData Export() {
     136      if (!ProblemData.InputVariables.Count.Equals(ProblemData.Dataset.DoubleVariables.Count()))
     137        throw new ArgumentException("Not all input variables are double variables! (Export only works with double variables)");
     138
     139      RegressionData regData = new RegressionData();
     140      regData.Name = Name;
     141      regData.Description = Description;
     142      regData.TargetVariable = ProblemData.TargetVariable;
     143      regData.InputVariables = ProblemData.InputVariables.Select(x => x.Value).ToArray();
     144      regData.AllowedInputVariables = ProblemData.AllowedInputVariables.ToArray();
     145      regData.TrainingPartitionStart = ProblemData.TrainingPartition.Start;
     146      regData.TrainingPartitionEnd = ProblemData.TrainingPartition.End;
     147      regData.TestPartitionStart = ProblemData.TestPartition.Start;
     148      regData.TestPartitionEnd = ProblemData.TestPartition.End;
     149
     150      List<List<double>> data = new List<List<double>>();
     151      foreach (var variable in ProblemData.Dataset.DoubleVariables) {
     152        data.Add(ProblemData.Dataset.GetDoubleValues(variable).ToList());
     153      }
     154      regData.Values = Transformer.Transformation(data);
     155
     156      return regData;
     157    }
    118158  }
    119159}

  • branches/ProblemInstancesRegressionAndClassification/HeuristicLab.Problems.DataAnalysis/3.4/Dataset.cs

    r7259 r7750  
    7272      rows = variableValues.First().Count;
    7373      this.variableNames = new List<string>(variableNames);
    74       this.variableValues = new Dictionary<string, IList>();
     74      this.variableValues = new Dictionary<string, IList>(this.variableNames.Count);
    7575      for (int i = 0; i < this.variableNames.Count; i++) {
    7676        var values = variableValues.ElementAt(i);
    … …  
    107107      this.variableNames = new List<string>(variableNames);
    108108
    109       this.variableValues = new Dictionary<string, IList>();
     109      this.variableValues = new Dictionary<string, IList>(variableValues.GetLength(1));
    110110      for (int col = 0; col < variableValues.GetLength(1); col++) {
    111111        string columName = this.variableNames[col];
    112         var values = new List<double>();
     112        var values = new List<double>(variableValues.GetLength(0));
    113113        for (int row = 0; row < variableValues.GetLength(0); row++) {
    114114          values.Add(variableValues[row, col]);

  • branches/ProblemInstancesRegressionAndClassification/HeuristicLab.Problems.DataAnalysis/3.4/HeuristicLab.Problems.DataAnalysis-3.4.csproj

    r7687 r7750  
    177177    <Compile Include="Interfaces\Regression\IRegressionEnsembleSolution.cs" />
    178178    <Compile Include="Implementation\Regression\RegressionSolutionBase.cs" />
     179    <Compile Include="OnlineCalculators\OnlineMaxAbsoluteErrorCalculator.cs" />
    179180    <Compile Include="OnlineCalculators\OnlineMeanErrorCalculator.cs" />
    180181    <Compile Include="OnlineCalculators\NormalizedGiniCalculator.cs" />

  • branches/ProblemInstancesRegressionAndClassification/HeuristicLab.Problems.DataAnalysis/3.4/Implementation/Classification/ClassificationProblem.cs

    r7683 r7750  
    3333  [Creatable("Problems")]
    3434  public class ClassificationProblem : DataAnalysisProblem<IClassificationProblemData>, IClassificationProblem, IStorableContent,
    35     IProblemInstanceConsumer<ClassificationData>, IProblemInstanceExporter<ClassificationData>, IProblemInstanceConsumer, IProblemInstanceExporter {
     35    IProblemInstanceConsumer<ClassificationData>, IProblemInstanceExporter<ClassificationData> {
    3636    public string Filename { get; set; }
    3737

  • branches/ProblemInstancesRegressionAndClassification/HeuristicLab.Problems.DataAnalysis/3.4/Implementation/Regression/RegressionEnsembleSolution.cs

    r7259 r7750  
    9797
    9898      RegisterRegressionSolutionsEventHandler();
     99    }
     100
     101    public RegressionEnsembleSolution(IRegressionProblemData problemData)
     102      : this(Enumerable.Empty<IRegressionModel>(), problemData) {
    99103    }
    100104

  • branches/ProblemInstancesRegressionAndClassification/HeuristicLab.Problems.DataAnalysis/3.4/Implementation/Regression/RegressionSolution.cs

    r7259 r7750  
    4444    protected RegressionSolution(IRegressionModel model, IRegressionProblemData problemData)
    4545      : base(model, problemData) {
    46       evaluationCache = new Dictionary<int, double>();
     46      evaluationCache = new Dictionary<int, double>(problemData.Dataset.Rows);
    4747    }
    4848

  • branches/ProblemInstancesRegressionAndClassification/HeuristicLab.Problems.DataAnalysis/3.4/Implementation/Regression/RegressionSolutionBase.cs

    r7272 r7750  
    2121
    2222using System.Collections.Generic;
    23 using System.Linq;
    2423using HeuristicLab.Common;
    2524using HeuristicLab.Data;
    … …  
    166165
    167166    protected void CalculateResults() {
    168       double[] estimatedTrainingValues = EstimatedTrainingValues.ToArray(); // cache values
    169       double[] originalTrainingValues = ProblemData.Dataset.GetDoubleValues(ProblemData.TargetVariable, ProblemData.TrainingIndizes).ToArray();
    170       double[] estimatedTestValues = EstimatedTestValues.ToArray(); // cache values
    171       double[] originalTestValues = ProblemData.Dataset.GetDoubleValues(ProblemData.TargetVariable, ProblemData.TestIndizes).ToArray();
     167      IEnumerable<double> estimatedTrainingValues = EstimatedTrainingValues; // cache values
     168      IEnumerable<double> originalTrainingValues = ProblemData.Dataset.GetDoubleValues(ProblemData.TargetVariable, ProblemData.TrainingIndizes);
     169      IEnumerable<double> estimatedTestValues = EstimatedTestValues; // cache values
     170      IEnumerable<double> originalTestValues = ProblemData.Dataset.GetDoubleValues(ProblemData.TargetVariable, ProblemData.TestIndizes);
    172171
    173172      OnlineCalculatorError errorState;
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