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Timestamp:
09/14/12 18:58:15 (12 years ago)
Author:
gkronber
Message:

#1847 merged r8205:8635 from trunk into branch

Location:
branches/GP-MoveOperators
Files:
3 edited

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  • branches/GP-MoveOperators

  • branches/GP-MoveOperators/HeuristicLab.Algorithms.DataAnalysis/3.4

    • Property svn:ignore

      •  

        old new  
        55*.vs10x
        66Plugin.cs
         7*.user

  • branches/GP-MoveOperators/HeuristicLab.Algorithms.DataAnalysis/3.4/SupportVectorMachine/SupportVectorMachineModel.cs

    r7259 r8660  
    2929using HeuristicLab.Persistence.Default.CompositeSerializers.Storable;
    3030using HeuristicLab.Problems.DataAnalysis;
    31 using SVM;
     31using LibSVM;
    3232
    3333namespace HeuristicLab.Algorithms.DataAnalysis {
    … …  
    3939  public sealed class SupportVectorMachineModel : NamedItem, ISupportVectorMachineModel {
    4040
    41     private SVM.Model model;
     41    private svm_model model;
    4242    /// <summary>
    4343    /// Gets or sets the SVM model.
    4444    /// </summary>
    45     public SVM.Model Model {
     45    public svm_model Model {
    4646      get { return model; }
    4747      set {
    … …  
    5757    /// Gets or sets the range transformation for the model.
    5858    /// </summary>
    59     private SVM.RangeTransform rangeTransform;
    60     public SVM.RangeTransform RangeTransform {
     59    private RangeTransform rangeTransform;
     60    public RangeTransform RangeTransform {
    6161      get { return rangeTransform; }
    6262      set {
    … …  
    7171    public Dataset SupportVectors {
    7272      get {
    73         var data = new double[Model.SupportVectorCount, allowedInputVariables.Count()];
    74         for (int i = 0; i < Model.SupportVectorCount; i++) {
    75           var sv = Model.SupportVectors[i];
     73        var data = new double[Model.sv_coef.Length, allowedInputVariables.Count()];
     74        for (int i = 0; i < Model.sv_coef.Length; i++) {
     75          var sv = Model.SV[i];
    7676          for (int j = 0; j < sv.Length; j++) {
    77             data[i, j] = sv[j].Value;
     77            data[i, j] = sv[j].value;
    7878          }
    7979        }
    … …  
    101101        this.classValues = (double[])original.classValues.Clone();
    102102    }
    103     public SupportVectorMachineModel(SVM.Model model, SVM.RangeTransform rangeTransform, string targetVariable, IEnumerable<string> allowedInputVariables, IEnumerable<double> classValues)
     103    public SupportVectorMachineModel(svm_model model, RangeTransform rangeTransform, string targetVariable, IEnumerable<string> allowedInputVariables, IEnumerable<double> classValues)
    104104      : this(model, rangeTransform, targetVariable, allowedInputVariables) {
    105105      this.classValues = classValues.ToArray();
    106106    }
    107     public SupportVectorMachineModel(SVM.Model model, SVM.RangeTransform rangeTransform, string targetVariable, IEnumerable<string> allowedInputVariables)
     107    public SupportVectorMachineModel(svm_model model, RangeTransform rangeTransform, string targetVariable, IEnumerable<string> allowedInputVariables)
    108108      : base() {
    109109      this.name = ItemName;
    … …  
    124124    }
    125125    public SupportVectorRegressionSolution CreateRegressionSolution(IRegressionProblemData problemData) {
    126       return new SupportVectorRegressionSolution(this, problemData);
     126      return new SupportVectorRegressionSolution(this, new RegressionProblemData(problemData));
    127127    }
    128128    IRegressionSolution IRegressionModel.CreateRegressionSolution(IRegressionProblemData problemData) {
    … …  
    153153
    154154    public SupportVectorClassificationSolution CreateClassificationSolution(IClassificationProblemData problemData) {
    155       return new SupportVectorClassificationSolution(this, problemData);
     155      return new SupportVectorClassificationSolution(this, new ClassificationProblemData(problemData));
    156156    }
    157157    IClassificationSolution IClassificationModel.CreateClassificationSolution(IClassificationProblemData problemData) {
    … …  
    161161    private IEnumerable<double> GetEstimatedValuesHelper(Dataset dataset, IEnumerable<int> rows) {
    162162      // calculate predictions for the currently requested rows
    163       SVM.Problem problem = SupportVectorMachineUtil.CreateSvmProblem(dataset, targetVariable, allowedInputVariables, rows);
    164       SVM.Problem scaledProblem = Scaling.Scale(RangeTransform, problem);
    165 
    166       for (int i = 0; i < scaledProblem.Count; i++) {
    167         yield return SVM.Prediction.Predict(Model, scaledProblem.X[i]);
     163      svm_problem problem = SupportVectorMachineUtil.CreateSvmProblem(dataset, targetVariable, allowedInputVariables, rows);
     164      svm_problem scaledProblem = rangeTransform.Scale(problem);
     165
     166      for (int i = 0; i < problem.l; i++) {
     167        yield return svm.svm_predict(Model, scaledProblem.x[i]);
    168168      }
    169169    }
    … …  
    183183      get {
    184184        using (MemoryStream stream = new MemoryStream()) {
    185           SVM.Model.Write(stream, Model);
     185          svm.svm_save_model(new StreamWriter(stream), Model);
    186186          stream.Seek(0, System.IO.SeekOrigin.Begin);
    187187          StreamReader reader = new StreamReader(stream);
    … …  
    191191      set {
    192192        using (MemoryStream stream = new MemoryStream(Encoding.ASCII.GetBytes(value))) {
    193           model = SVM.Model.Read(stream);
     193          model = svm.svm_load_model(new StreamReader(stream));
    194194        }
    195195      }
    … …  
    199199      get {
    200200        using (MemoryStream stream = new MemoryStream()) {
    201           SVM.RangeTransform.Write(stream, RangeTransform);
     201          RangeTransform.Write(stream, RangeTransform);
    202202          stream.Seek(0, System.IO.SeekOrigin.Begin);
    203203          StreamReader reader = new StreamReader(stream);
    … …  
    207207      set {
    208208        using (MemoryStream stream = new MemoryStream(Encoding.ASCII.GetBytes(value))) {
    209           RangeTransform = SVM.RangeTransform.Read(stream);
     209          RangeTransform = RangeTransform.Read(stream);
    210210        }
    211211      }
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