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Timestamp:
11/12/12 13:51:49 (12 years ago)
Author:
sforsten
Message:

#1979:

  • renamed Keijzer 1-3
  • corrected training and test partition of Keijzer 9 and 10
  • changed interval for some variables in Korn 7, 9, 15 to avoid infinity and NaN values
Location:
trunk/sources/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Keijzer
Files:
5 edited

Legend:

Unmodified
Added
Removed

  • trunk/sources/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Keijzer/KeijzerFunctionNine.cs

    r8825 r8900  
    4242    protected override string[] AllowedInputVariables { get { return new string[] { "X" }; } }
    4343    protected override int TrainingPartitionStart { get { return 0; } }
    44     protected override int TrainingPartitionEnd { get { return 100; } }
    45     protected override int TestPartitionStart { get { return 100; } }
    46     protected override int TestPartitionEnd { get { return 1100; } }
     44    protected override int TrainingPartitionEnd { get { return 101; } }
     45    protected override int TestPartitionStart { get { return 101; } }
     46    protected override int TestPartitionEnd { get { return 1102; } }
    4747
    4848    protected override List<List<double>> GenerateValues() {
    … …  
    5555      for (int i = 0; i < data[0].Count; i++) {
    5656        x = data[0][i];
    57         results.Add(Math.Log(x + Math.Sqrt(x*x + 1)));
     57        results.Add(Math.Log(x + Math.Sqrt(x * x + 1)));
    5858      }
    5959      data.Add(results);

  • trunk/sources/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Keijzer/KeijzerFunctionOne.cs

    r8825 r8900  
    2727  public class KeijzerFunctionOne : ArtificialRegressionDataDescriptor {
    2828
    29     public override string Name { get { return "Keijzer 1 f(x) = 0.3 * x *sin(2 * PI * x)"; } }
     29    public override string Name { get { return "Keijzer 1 f(x) = 0.3 * x *sin(2 * PI * x); Interval [-1, 1]"; } }
    3030    public override string Description {
    3131      get {

  • trunk/sources/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Keijzer/KeijzerFunctionTen.cs

    r8825 r8900  
    4444    protected override int TrainingPartitionEnd { get { return 100; } }
    4545    protected override int TestPartitionStart { get { return 100; } }
    46     protected override int TestPartitionEnd { get { return 10100; } }
     46    protected override int TestPartitionEnd { get { return 10301; } }
    4747
    4848    protected override List<List<double>> GenerateValues() {

  • trunk/sources/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Keijzer/KeijzerFunctionThree.cs

    r8825 r8900  
    2727  public class KeijzerFunctionThree : ArtificialRegressionDataDescriptor {
    2828
    29     public override string Name { get { return "Keijzer 3 f(x) = 0.3 * x *sin(2 * PI * x)"; } }
     29    public override string Name { get { return "Keijzer 3 f(x) = 0.3 * x *sin(2 * PI * x); Interval [-3, 3]"; } }
    3030    public override string Description {
    3131      get {

  • trunk/sources/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Keijzer/KeijzerFunctionTwo.cs

    r8825 r8900  
    2727  public class KeijzerFunctionTwo : ArtificialRegressionDataDescriptor {
    2828
    29     public override string Name { get { return "Keijzer 2 f(x) = 0.3 * x *sin(2 * PI * x)"; } }
     29    public override string Name { get { return "Keijzer 2 f(x) = 0.3 * x *sin(2 * PI * x); Interval [-2, 2]"; } }
    3030    public override string Description {
    3131      get {
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