- Timestamp:
- 12/06/12 14:13:39 (12 years ago)
- Location:
- trunk/sources/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Korns
- Files:
-
- 4 edited
Legend:
- Unmodified
- Added
- Removed
-
trunk/sources/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Korns/KornsFunctionEleven.cs
r8825 r9007 27 27 public class KornsFunctionEleven : ArtificialRegressionDataDescriptor { 28 28 29 public override string Name { get { return "Korns 11 y = 6.87 + (11 * cos(7.23 * X0 * X0 * X0))"; } }29 public override string Name { get { return "Korns 11 y = 6.87 + (11 * cos(7.23 * X0³))"; } } 30 30 public override string Description { 31 31 get { … … 46 46 protected override string[] AllowedInputVariables { get { return new string[] { "X0", "X1", "X2", "X3", "X4" }; } } 47 47 protected override int TrainingPartitionStart { get { return 0; } } 48 protected override int TrainingPartitionEnd { get { return 5000; } }49 protected override int TestPartitionStart { get { return 5000; } }50 protected override int TestPartitionEnd { get { return 10000; } }48 protected override int TrainingPartitionEnd { get { return 10000; } } 49 protected override int TestPartitionStart { get { return 10000; } } 50 protected override int TestPartitionEnd { get { return 20000; } } 51 51 52 52 protected override List<List<double>> GenerateValues() { -
trunk/sources/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Korns/KornsFunctionFiveteen.cs
r8900 r9007 54 54 List<List<double>> data = new List<List<double>>(); 55 55 data.Add(ValueGenerator.GenerateUniformDistributedValues(TestPartitionEnd, -50, 50).ToList()); 56 data.Add(ValueGenerator.GenerateUniformDistributedValues(TestPartitionEnd, 0, 50).ToList()); // note: range is only [0,50] to prevent NaN values (deviates from gp benchmark paper)56 data.Add(ValueGenerator.GenerateUniformDistributedValues(TestPartitionEnd, -50, 50).ToList()); 57 57 data.Add(ValueGenerator.GenerateUniformDistributedValues(TestPartitionEnd, 0, 50).ToList()); // note: range is only [0,50] to prevent NaN values (deviates from gp benchmark paper) 58 58 data.Add(ValueGenerator.GenerateUniformDistributedValues(TestPartitionEnd, -50, 50).ToList()); -
trunk/sources/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Korns/KornsFunctionNine.cs
r8900 r9007 56 56 data.Add(ValueGenerator.GenerateUniformDistributedValues(TestPartitionEnd, 0, 50).ToList()); // note: range is only [0,50] to prevent NaN values (deviates from gp benchmark paper) 57 57 data.Add(ValueGenerator.GenerateUniformDistributedValues(TestPartitionEnd, 0, 50).ToList()); // note: range is only [0,50] to prevent NaN values (deviates from gp benchmark paper) 58 data.Add(ValueGenerator.GenerateUniformDistributedValues(TestPartitionEnd, -50, 0).ToList()); // note: range is only [-50,0] to prevent NaN values (deviates from gp benchmark paper)58 data.Add(ValueGenerator.GenerateUniformDistributedValues(TestPartitionEnd, -50, 50).ToList()); 59 59 data.Add(ValueGenerator.GenerateUniformDistributedValues(TestPartitionEnd, -50, 50).ToList()); 60 60 data.Add(ValueGenerator.GenerateUniformDistributedValues(TestPartitionEnd, -50, 50).ToList()); -
trunk/sources/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Korns/KornsFunctionSeven.cs
r8900 r9007 53 53 protected override List<List<double>> GenerateValues() { 54 54 List<List<double>> data = new List<List<double>>(); 55 data.Add(ValueGenerator.GenerateUniformDistributedValues(TestPartitionEnd, 0, 50).ToList()); // note: range is only [0,50] to prevent NaN values (deviates from gp benchmark paper)55 data.Add(ValueGenerator.GenerateUniformDistributedValues(TestPartitionEnd, -50, 50).ToList()); 56 56 data.Add(ValueGenerator.GenerateUniformDistributedValues(TestPartitionEnd, -50, 50).ToList()); 57 57 data.Add(ValueGenerator.GenerateUniformDistributedValues(TestPartitionEnd, -50, 50).ToList());
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