- Timestamp:
- 02/03/15 14:00:39 (10 years ago)
- Location:
- stable
- Files:
-
- 16 edited
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- Unmodified
- Added
- Removed
-
stable
- Property svn:mergeinfo changed
/trunk/sources merged: 11313,11348,11434-11435,11441
- Property svn:mergeinfo changed
-
stable/HeuristicLab.Problems.Instances.DataAnalysis
- Property svn:mergeinfo changed
/trunk/sources/HeuristicLab.Problems.Instances.DataAnalysis merged: 11313,11348,11434-11435
- Property svn:mergeinfo changed
-
stable/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Keijzer/KeijzerFunctionEight.cs
r11170 r11868 48 48 protected override List<List<double>> GenerateValues() { 49 49 List<List<double>> data = new List<List<double>>(); 50 data.Add(ValueGenerator.GenerateSteps(0 , 100, 1).ToList());51 data[0].AddRange(ValueGenerator.GenerateSteps(0 , 100, 0.1));50 data.Add(ValueGenerator.GenerateSteps(0m, 100, 1).Select(v => (double)v).ToList()); 51 data[0].AddRange(ValueGenerator.GenerateSteps(0m, 100, 0.1m).Select(v => (double)v)); 52 52 53 53 double x; -
stable/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Keijzer/KeijzerFunctionEleven.cs
r11170 r11868 49 49 protected override List<List<double>> GenerateValues() { 50 50 List<List<double>> data = new List<List<double>>(); 51 List<double> oneVariableTestData = ValueGenerator.GenerateSteps(-3, 3, 0.01 ).ToList();51 List<double> oneVariableTestData = ValueGenerator.GenerateSteps(-3, 3, 0.01m).Select(v => (double)v).ToList(); 52 52 List<List<double>> testData = new List<List<double>>() { oneVariableTestData, oneVariableTestData }; 53 53 -
stable/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Keijzer/KeijzerFunctionFifteen.cs
r11170 r11868 48 48 protected override List<List<double>> GenerateValues() { 49 49 List<List<double>> data = new List<List<double>>(); 50 List<double> oneVariableTestData = ValueGenerator.GenerateSteps(-3, 3, 0.01 ).ToList();50 List<double> oneVariableTestData = ValueGenerator.GenerateSteps(-3, 3, 0.01m).Select(v => (double)v).ToList(); 51 51 List<List<double>> testData = new List<List<double>>() { oneVariableTestData, oneVariableTestData }; 52 52 -
stable/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Keijzer/KeijzerFunctionFour.cs
r11170 r11868 49 49 protected override List<List<double>> GenerateValues() { 50 50 List<List<double>> data = new List<List<double>>(); 51 data.Add(ValueGenerator.GenerateSteps(0, 10, 0.05 ).ToList());52 data[0].AddRange(ValueGenerator.GenerateSteps(0.05 , 10.05, 0.05));51 data.Add(ValueGenerator.GenerateSteps(0, 10, 0.05m).Select(v => (double)v).ToList()); 52 data[0].AddRange(ValueGenerator.GenerateSteps(0.05m, 10.05m, 0.05m).Select(v => (double)v)); 53 53 54 54 double x; -
stable/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Keijzer/KeijzerFunctionFourteen.cs
r11170 r11868 48 48 protected override List<List<double>> GenerateValues() { 49 49 List<List<double>> data = new List<List<double>>(); 50 List<double> oneVariableTestData = ValueGenerator.GenerateSteps(-3, 3, 0.01 ).ToList();50 List<double> oneVariableTestData = ValueGenerator.GenerateSteps(-3, 3, 0.01m).Select(v => (double) v).ToList(); 51 51 List<List<double>> testData = new List<List<double>>() { oneVariableTestData, oneVariableTestData }; 52 52 -
stable/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Keijzer/KeijzerFunctionNine.cs
r11170 r11868 48 48 protected override List<List<double>> GenerateValues() { 49 49 List<List<double>> data = new List<List<double>>(); 50 data.Add(ValueGenerator.GenerateSteps(0 , 100, 1).ToList());51 data[0].AddRange(ValueGenerator.GenerateSteps(0, 100, 0.1 ));50 data.Add(ValueGenerator.GenerateSteps(0m, 100, 1).Select(v => (double)v).ToList()); 51 data[0].AddRange(ValueGenerator.GenerateSteps(0, 100, 0.1m).Select(v => (double)v)); 52 52 53 53 double x; -
stable/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Keijzer/KeijzerFunctionOne.cs
r11170 r11868 48 48 protected override List<List<double>> GenerateValues() { 49 49 List<List<double>> data = new List<List<double>>(); 50 data.Add(ValueGenerator.GenerateSteps(-1, 1, 0.1 ).ToList());51 data[0].AddRange(ValueGenerator.GenerateSteps(-1, 1, 0.001 ));50 data.Add(ValueGenerator.GenerateSteps(-1, 1, 0.1m).Select(v => (double)v).ToList()); 51 data[0].AddRange(ValueGenerator.GenerateSteps(-1, 1, 0.001m).Select(v => (double)v)); 52 52 53 53 double x; -
stable/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Keijzer/KeijzerFunctionSeven.cs
r11170 r11868 49 49 protected override List<List<double>> GenerateValues() { 50 50 List<List<double>> data = new List<List<double>>(); 51 data.Add(ValueGenerator.GenerateSteps(1 , 100, 1).ToList());52 data[0].AddRange(ValueGenerator.GenerateSteps(1 , 100, 0.1));51 data.Add(ValueGenerator.GenerateSteps(1m, 100, 1).Select(v => (double)v).ToList()); 52 data[0].AddRange(ValueGenerator.GenerateSteps(1m, 100, 0.1m).Select(v => (double)v)); 53 53 54 54 double x; -
stable/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Keijzer/KeijzerFunctionSix.cs
r11170 r11868 48 48 protected override List<List<double>> GenerateValues() { 49 49 List<List<double>> data = new List<List<double>>(); 50 data.Add(ValueGenerator.GenerateSteps(1 , 50, 1).ToList());51 data[0].AddRange(ValueGenerator.GenerateSteps(1 , 120, 1));50 data.Add(ValueGenerator.GenerateSteps(1m, 50, 1).Select(v => (double)v).ToList()); 51 data[0].AddRange(ValueGenerator.GenerateSteps(1m, 120, 1).Select(v => (double)v)); 52 52 53 53 double x; -
stable/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Keijzer/KeijzerFunctionTen.cs
r11170 r11868 49 49 List<List<double>> data = new List<List<double>>(); 50 50 51 List<double> oneVariableTestData = ValueGenerator.GenerateSteps(0, 1, 0.01 ).ToList();51 List<double> oneVariableTestData = ValueGenerator.GenerateSteps(0, 1, 0.01m).Select(v => (double)v).ToList(); 52 52 List<List<double>> testData = new List<List<double>>() { oneVariableTestData, oneVariableTestData }; 53 53 -
stable/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Keijzer/KeijzerFunctionThirteen.cs
r11170 r11868 48 48 protected override List<List<double>> GenerateValues() { 49 49 List<List<double>> data = new List<List<double>>(); 50 List<double> oneVariableTestData = ValueGenerator.GenerateSteps(-3, 3, 0.01 ).ToList();50 List<double> oneVariableTestData = ValueGenerator.GenerateSteps(-3, 3, 0.01m).Select(v => (double)v).ToList(); 51 51 List<List<double>> testData = new List<List<double>>() { oneVariableTestData, oneVariableTestData }; 52 52 -
stable/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Keijzer/KeijzerFunctionThree.cs
r11170 r11868 48 48 protected override List<List<double>> GenerateValues() { 49 49 List<List<double>> data = new List<List<double>>(); 50 data.Add(ValueGenerator.GenerateSteps(-3, 3, 0.1 ).ToList());51 data[0].AddRange(ValueGenerator.GenerateSteps(-3, 3, 0.001 ));50 data.Add(ValueGenerator.GenerateSteps(-3, 3, 0.1m).Select(v => (double)v).ToList()); 51 data[0].AddRange(ValueGenerator.GenerateSteps(-3, 3, 0.001m).Select(v => (double)v)); 52 52 53 53 double x; -
stable/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Keijzer/KeijzerFunctionTwelve.cs
r11170 r11868 48 48 protected override List<List<double>> GenerateValues() { 49 49 List<List<double>> data = new List<List<double>>(); 50 List<double> oneVariableTestData = ValueGenerator.GenerateSteps(-3, 3, 0.01 ).ToList();50 List<double> oneVariableTestData = ValueGenerator.GenerateSteps(-3, 3, 0.01m).Select(v => (double)v).ToList(); 51 51 List<List<double>> testData = new List<List<double>>() { oneVariableTestData, oneVariableTestData }; 52 52 -
stable/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Keijzer/KeijzerFunctionTwo.cs
r11170 r11868 48 48 protected override List<List<double>> GenerateValues() { 49 49 List<List<double>> data = new List<List<double>>(); 50 data.Add(ValueGenerator.GenerateSteps(-2, 2, 0.1 ).ToList());51 data[0].AddRange(ValueGenerator.GenerateSteps(-2, 2, 0.001 ));50 data.Add(ValueGenerator.GenerateSteps(-2, 2, 0.1m).Select(v => (double)v).ToList()); 51 data[0].AddRange(ValueGenerator.GenerateSteps(-2, 2, 0.001m).Select(v => (double)v)); 52 52 53 53 double x;
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