Changeset 11868 for stable/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Vladislavleva
- Timestamp:
- 02/03/15 14:00:39 (10 years ago)
- Location:
- stable
- Files:
-
- 8 edited
Legend:
- Unmodified
- Added
- Removed
-
stable
- Property svn:mergeinfo changed
/trunk/sources merged: 11313,11348,11434-11435,11441
- Property svn:mergeinfo changed
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stable/HeuristicLab.Problems.Instances.DataAnalysis
- Property svn:mergeinfo changed
/trunk/sources/HeuristicLab.Problems.Instances.DataAnalysis merged: 11313,11348,11434-11435
- Property svn:mergeinfo changed
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stable/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Vladislavleva/KotanchekFunction.cs
r11170 r11868 49 49 List<List<double>> data = new List<List<double>>(); 50 50 51 List<double> oneVariableTestData = ValueGenerator.GenerateSteps(-0.2 , 4.2, 0.1).ToList();51 List<double> oneVariableTestData = ValueGenerator.GenerateSteps(-0.2m, 4.2m, 0.1m).Select(v => (double)v).ToList(); 52 52 List<List<double>> testData = new List<List<double>>() { oneVariableTestData, oneVariableTestData }; 53 53 var combinations = ValueGenerator.GenerateAllCombinationsOfValuesInLists(testData).ToList<IEnumerable<double>>(); -
stable/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Vladislavleva/RationalPolynomialThreeDimensional.cs
r11170 r11868 55 55 56 56 List<List<double>> testData = new List<List<double>>() { 57 ValueGenerator.GenerateSteps(-0.05 , 2.05, 0.15).ToList(),58 ValueGenerator.GenerateSteps( 0.95 , 2.05, 0.1).ToList(),59 ValueGenerator.GenerateSteps(-0.05 , 2.05, 0.15).ToList()57 ValueGenerator.GenerateSteps(-0.05m, 2.05m, 0.15m).Select(v => (double)v).ToList(), 58 ValueGenerator.GenerateSteps( 0.95m, 2.05m, 0.1m).Select(v => (double)v).ToList(), 59 ValueGenerator.GenerateSteps(-0.05m, 2.05m, 0.15m).Select(v => (double)v).ToList() 60 60 }; 61 61 -
stable/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Vladislavleva/RationalPolynomialTwoDimensional.cs
r11170 r11868 49 49 List<List<double>> data = new List<List<double>>(); 50 50 51 List<double> oneVariableTestData = ValueGenerator.GenerateSteps(-0.25 , 6.35, 0.2).ToList();51 List<double> oneVariableTestData = ValueGenerator.GenerateSteps(-0.25m, 6.35m, 0.2m).Select(v => (double)v).ToList(); 52 52 53 53 List<List<double>> testData = new List<List<double>>() { oneVariableTestData, oneVariableTestData }; -
stable/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Vladislavleva/SalutowiczFunctionOneDimensional.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(0.05 , 10, 0.1).ToList());51 data[0].AddRange(ValueGenerator.GenerateSteps(-0.5 , 10.5, 0.05));50 data.Add(ValueGenerator.GenerateSteps(0.05m, 10, 0.1m).Select(v => (double)v).ToList()); 51 data[0].AddRange(ValueGenerator.GenerateSteps(-0.5m, 10.5m, 0.05m).Select(v => (double)v)); 52 52 53 53 double x; -
stable/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Vladislavleva/SalutowiczFunctionTwoDimensional.cs
r11170 r11868 49 49 List<List<double>> data = new List<List<double>>(); 50 50 List<List<double>> trainingData = new List<List<double>>() { 51 ValueGenerator.GenerateSteps(0.05 , 10, 0.1).ToList(),52 ValueGenerator.GenerateSteps(0.05 , 10.05, 2).ToList()51 ValueGenerator.GenerateSteps(0.05m, 10, 0.1m).Select(v => (double)v).ToList(), 52 ValueGenerator.GenerateSteps(0.05m, 10.05m, 2).Select(v => (double)v).ToList() 53 53 }; 54 54 55 55 List<List<double>> testData = new List<List<double>>() { 56 ValueGenerator.GenerateSteps(-0.5 , 10.5, 0.05).ToList(),57 ValueGenerator.GenerateSteps(-0.5 , 10.5, 0.5).ToList()56 ValueGenerator.GenerateSteps(-0.5m, 10.5m, 0.05m).Select(v => (double)v).ToList(), 57 ValueGenerator.GenerateSteps(-0.5m, 10.5m, 0.5m).Select(v => (double)v).ToList() 58 58 }; 59 59 -
stable/HeuristicLab.Problems.Instances.DataAnalysis/3.3/Regression/Vladislavleva/SineCosineFunction.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(-0.05 , 6.05, 0.02).ToList();50 List<double> oneVariableTestData = ValueGenerator.GenerateSteps(-0.05m, 6.05m, 0.02m).Select(v => (double)v).ToList(); 51 51 List<List<double>> testData = new List<List<double>>() { oneVariableTestData, oneVariableTestData }; 52 52 var combinations = ValueGenerator.GenerateAllCombinationsOfValuesInLists(testData).ToList<IEnumerable<double>>();
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