Changeset 7682 for branches/ProblemInstancesRegressionAndClassification/HeuristicLab.Problems.Instances.Regression/3.4/Korns
- Timestamp:
- 04/02/12 10:55:26 (13 years ago)
- Location:
- branches/ProblemInstancesRegressionAndClassification/HeuristicLab.Problems.Instances.Regression/3.4/Korns
- Files:
-
- 15 edited
Legend:
- Unmodified
- Added
- Removed
-
branches/ProblemInstancesRegressionAndClassification/HeuristicLab.Problems.Instances.Regression/3.4/Korns/KornsFunctionEight.cs
r7664 r7682 45 45 } 46 46 protected override string TargetVariable { get { return "Y"; } } 47 protected override IEnumerable<string> InputVariables { get { return new List<string>(){ "X0", "X1", "X2", "X3", "X4", "Y" }; } }48 protected override IEnumerable<string> AllowedInputVariables { get { return new List<string>(){ "X0", "X1", "X2", "X3", "X4" }; } }47 protected override string[] InputVariables { get { return new string[] { "X0", "X1", "X2", "X3", "X4", "Y" }; } } 48 protected override string[] AllowedInputVariables { get { return new string[] { "X0", "X1", "X2", "X3", "X4" }; } } 49 49 protected override int TrainingPartitionStart { get { return 0; } } 50 50 protected override int TrainingPartitionEnd { get { return 5000; } } … … 52 52 protected override int TestPartitionEnd { get { return 10000; } } 53 53 54 protected override double[,]GenerateValues() {54 protected override List<List<double>> GenerateValues() { 55 55 List<List<double>> data = new List<List<double>>(); 56 56 for (int i = 0; i < AllowedInputVariables.Count(); i++) { … … 68 68 data.Add(results); 69 69 70 return ValueGenerator.Transformation(data);70 return data; 71 71 } 72 72 } -
branches/ProblemInstancesRegressionAndClassification/HeuristicLab.Problems.Instances.Regression/3.4/Korns/KornsFunctionEleven.cs
r7664 r7682 44 44 } 45 45 protected override string TargetVariable { get { return "Y"; } } 46 protected override IEnumerable<string> InputVariables { get { return new List<string>(){ "X0", "X1", "X2", "X3", "X4", "Y" }; } }47 protected override IEnumerable<string> AllowedInputVariables { get { return new List<string>(){ "X0", "X1", "X2", "X3", "X4" }; } }46 protected override string[] InputVariables { get { return new string[] { "X0", "X1", "X2", "X3", "X4", "Y" }; } } 47 protected override string[] AllowedInputVariables { get { return new string[] { "X0", "X1", "X2", "X3", "X4" }; } } 48 48 protected override int TrainingPartitionStart { get { return 0; } } 49 49 protected override int TrainingPartitionEnd { get { return 5000; } } … … 51 51 protected override int TestPartitionEnd { get { return 10000; } } 52 52 53 protected override double[,]GenerateValues() {53 protected override List<List<double>> GenerateValues() { 54 54 List<List<double>> data = new List<List<double>>(); 55 55 for (int i = 0; i < AllowedInputVariables.Count(); i++) { … … 65 65 data.Add(results); 66 66 67 return ValueGenerator.Transformation(data);67 return data; 68 68 } 69 69 } -
branches/ProblemInstancesRegressionAndClassification/HeuristicLab.Problems.Instances.Regression/3.4/Korns/KornsFunctionFive.cs
r7664 r7682 45 45 } 46 46 protected override string TargetVariable { get { return "Y"; } } 47 protected override IEnumerable<string> InputVariables { get { return new List<string>(){ "X0", "X1", "X2", "X3", "X4", "Y" }; } }48 protected override IEnumerable<string> AllowedInputVariables { get { return new List<string>(){ "X0", "X1", "X2", "X3", "X4" }; } }47 protected override string[] InputVariables { get { return new string[] { "X0", "X1", "X2", "X3", "X4", "Y" }; } } 48 protected override string[] AllowedInputVariables { get { return new string[] { "X0", "X1", "X2", "X3", "X4" }; } } 49 49 protected override int TrainingPartitionStart { get { return 0; } } 50 50 protected override int TrainingPartitionEnd { get { return 5000; } } … … 52 52 protected override int TestPartitionEnd { get { return 10000; } } 53 53 54 protected override double[,]GenerateValues() {54 protected override List<List<double>> GenerateValues() { 55 55 List<List<double>> data = new List<List<double>>(); 56 56 for (int i = 0; i < AllowedInputVariables.Count(); i++) { … … 66 66 data.Add(results); 67 67 68 return ValueGenerator.Transformation(data);68 return data; 69 69 } 70 70 } -
branches/ProblemInstancesRegressionAndClassification/HeuristicLab.Problems.Instances.Regression/3.4/Korns/KornsFunctionFiveteen.cs
r7664 r7682 45 45 } 46 46 protected override string TargetVariable { get { return "Y"; } } 47 protected override IEnumerable<string> InputVariables { get { return new List<string>(){ "X0", "X1", "X2", "X3", "X4", "Y" }; } }48 protected override IEnumerable<string> AllowedInputVariables { get { return new List<string>(){ "X0", "X1", "X2", "X3", "X4" }; } }47 protected override string[] InputVariables { get { return new string[] { "X0", "X1", "X2", "X3", "X4", "Y" }; } } 48 protected override string[] AllowedInputVariables { get { return new string[] { "X0", "X1", "X2", "X3", "X4" }; } } 49 49 protected override int TrainingPartitionStart { get { return 0; } } 50 50 protected override int TrainingPartitionEnd { get { return 5000; } } … … 52 52 protected override int TestPartitionEnd { get { return 10000; } } 53 53 54 protected override double[,]GenerateValues() {54 protected override List<List<double>> GenerateValues() { 55 55 List<List<double>> data = new List<List<double>>(); 56 56 for (int i = 0; i < AllowedInputVariables.Count(); i++) { … … 69 69 data.Add(results); 70 70 71 return ValueGenerator.Transformation(data);71 return data; 72 72 } 73 73 } -
branches/ProblemInstancesRegressionAndClassification/HeuristicLab.Problems.Instances.Regression/3.4/Korns/KornsFunctionFour.cs
r7664 r7682 44 44 } 45 45 protected override string TargetVariable { get { return "Y"; } } 46 protected override IEnumerable<string> InputVariables { get { return new List<string>(){ "X0", "X1", "X2", "X3", "X4", "Y" }; } }47 protected override IEnumerable<string> AllowedInputVariables { get { return new List<string>(){ "X0", "X1", "X2", "X3", "X4" }; } }46 protected override string[] InputVariables { get { return new string[] { "X0", "X1", "X2", "X3", "X4", "Y" }; } } 47 protected override string[] AllowedInputVariables { get { return new string[] { "X0", "X1", "X2", "X3", "X4" }; } } 48 48 protected override int TrainingPartitionStart { get { return 0; } } 49 49 protected override int TrainingPartitionEnd { get { return 5000; } } … … 51 51 protected override int TestPartitionEnd { get { return 10000; } } 52 52 53 protected override double[,]GenerateValues() {53 protected override List<List<double>> GenerateValues() { 54 54 List<List<double>> data = new List<List<double>>(); 55 55 for (int i = 0; i < AllowedInputVariables.Count(); i++) { … … 65 65 data.Add(results); 66 66 67 return ValueGenerator.Transformation(data);67 return data; 68 68 } 69 69 } -
branches/ProblemInstancesRegressionAndClassification/HeuristicLab.Problems.Instances.Regression/3.4/Korns/KornsFunctionFourteen.cs
r7664 r7682 44 44 } 45 45 protected override string TargetVariable { get { return "Y"; } } 46 protected override IEnumerable<string> InputVariables { get { return new List<string>(){ "X0", "X1", "X2", "X3", "X4", "Y" }; } }47 protected override IEnumerable<string> AllowedInputVariables { get { return new List<string>(){ "X0", "X1", "X2", "X3", "X4" }; } }46 protected override string[] InputVariables { get { return new string[] { "X0", "X1", "X2", "X3", "X4", "Y" }; } } 47 protected override string[] AllowedInputVariables { get { return new string[] { "X0", "X1", "X2", "X3", "X4" }; } } 48 48 protected override int TrainingPartitionStart { get { return 0; } } 49 49 protected override int TrainingPartitionEnd { get { return 5000; } } … … 51 51 protected override int TestPartitionEnd { get { return 10000; } } 52 52 53 protected override double[,]GenerateValues() {53 protected override List<List<double>> GenerateValues() { 54 54 List<List<double>> data = new List<List<double>>(); 55 55 for (int i = 0; i < AllowedInputVariables.Count(); i++) { … … 68 68 data.Add(results); 69 69 70 return ValueGenerator.Transformation(data);70 return data; 71 71 } 72 72 } -
branches/ProblemInstancesRegressionAndClassification/HeuristicLab.Problems.Instances.Regression/3.4/Korns/KornsFunctionNine.cs
r7664 r7682 45 45 } 46 46 protected override string TargetVariable { get { return "Y"; } } 47 protected override IEnumerable<string> InputVariables { get { return new List<string>(){ "X0", "X1", "X2", "X3", "X4", "Y" }; } }48 protected override IEnumerable<string> AllowedInputVariables { get { return new List<string>(){ "X0", "X1", "X2", "X3", "X4" }; } }47 protected override string[] InputVariables { get { return new string[] { "X0", "X1", "X2", "X3", "X4", "Y" }; } } 48 protected override string[] AllowedInputVariables { get { return new string[] { "X0", "X1", "X2", "X3", "X4" }; } } 49 49 protected override int TrainingPartitionStart { get { return 0; } } 50 50 protected override int TrainingPartitionEnd { get { return 5000; } } … … 52 52 protected override int TestPartitionEnd { get { return 10000; } } 53 53 54 protected override double[,]GenerateValues() {54 protected override List<List<double>> GenerateValues() { 55 55 List<List<double>> data = new List<List<double>>(); 56 56 for (int i = 0; i < AllowedInputVariables.Count(); i++) { … … 69 69 data.Add(results); 70 70 71 return ValueGenerator.Transformation(data);71 return data; 72 72 } 73 73 } -
branches/ProblemInstancesRegressionAndClassification/HeuristicLab.Problems.Instances.Regression/3.4/Korns/KornsFunctionOne.cs
r7664 r7682 44 44 } 45 45 protected override string TargetVariable { get { return "Y"; } } 46 protected override IEnumerable<string> InputVariables { get { return new List<string>(){ "X0", "X1", "X2", "X3", "X4", "Y" }; } }47 protected override IEnumerable<string> AllowedInputVariables { get { return new List<string>(){ "X0", "X1", "X2", "X3", "X4" }; } }46 protected override string[] InputVariables { get { return new string[] { "X0", "X1", "X2", "X3", "X4", "Y" }; } } 47 protected override string[] AllowedInputVariables { get { return new string[] { "X0", "X1", "X2", "X3", "X4" }; } } 48 48 protected override int TrainingPartitionStart { get { return 0; } } 49 49 protected override int TrainingPartitionEnd { get { return 5000; } } … … 51 51 protected override int TestPartitionEnd { get { return 10000; } } 52 52 53 protected override double[,]GenerateValues() {53 protected override List<List<double>> GenerateValues() { 54 54 List<List<double>> data = new List<List<double>>(); 55 55 for (int i = 0; i < AllowedInputVariables.Count(); i++) { … … 65 65 data.Add(results); 66 66 67 return ValueGenerator.Transformation(data);67 return data; 68 68 } 69 69 } -
branches/ProblemInstancesRegressionAndClassification/HeuristicLab.Problems.Instances.Regression/3.4/Korns/KornsFunctionSeven.cs
r7664 r7682 44 44 } 45 45 protected override string TargetVariable { get { return "Y"; } } 46 protected override IEnumerable<string> InputVariables { get { return new List<string>(){ "X0", "X1", "X2", "X3", "X4", "Y" }; } }47 protected override IEnumerable<string> AllowedInputVariables { get { return new List<string>(){ "X0", "X1", "X2", "X3", "X4" }; } }46 protected override string[] InputVariables { get { return new string[] { "X0", "X1", "X2", "X3", "X4", "Y" }; } } 47 protected override string[] AllowedInputVariables { get { return new string[] { "X0", "X1", "X2", "X3", "X4" }; } } 48 48 protected override int TrainingPartitionStart { get { return 0; } } 49 49 protected override int TrainingPartitionEnd { get { return 5000; } } … … 51 51 protected override int TestPartitionEnd { get { return 10000; } } 52 52 53 protected override double[,]GenerateValues() {53 protected override List<List<double>> GenerateValues() { 54 54 List<List<double>> data = new List<List<double>>(); 55 55 for (int i = 0; i < AllowedInputVariables.Count(); i++) { … … 65 65 data.Add(results); 66 66 67 return ValueGenerator.Transformation(data);67 return data; 68 68 } 69 69 } -
branches/ProblemInstancesRegressionAndClassification/HeuristicLab.Problems.Instances.Regression/3.4/Korns/KornsFunctionSix.cs
r7664 r7682 45 45 } 46 46 protected override string TargetVariable { get { return "Y"; } } 47 protected override IEnumerable<string> InputVariables { get { return new List<string>(){ "X0", "X1", "X2", "X3", "X4", "Y" }; } }48 protected override IEnumerable<string> AllowedInputVariables { get { return new List<string>(){ "X0", "X1", "X2", "X3", "X4" }; } }47 protected override string[] InputVariables { get { return new string[] { "X0", "X1", "X2", "X3", "X4", "Y" }; } } 48 protected override string[] AllowedInputVariables { get { return new string[] { "X0", "X1", "X2", "X3", "X4" }; } } 49 49 protected override int TrainingPartitionStart { get { return 0; } } 50 50 protected override int TrainingPartitionEnd { get { return 5000; } } … … 52 52 protected override int TestPartitionEnd { get { return 10000; } } 53 53 54 protected override double[,]GenerateValues() {54 protected override List<List<double>> GenerateValues() { 55 55 List<List<double>> data = new List<List<double>>(); 56 56 for (int i = 0; i < AllowedInputVariables.Count(); i++) { … … 66 66 data.Add(results); 67 67 68 return ValueGenerator.Transformation(data);68 return data; 69 69 } 70 70 } -
branches/ProblemInstancesRegressionAndClassification/HeuristicLab.Problems.Instances.Regression/3.4/Korns/KornsFunctionTen.cs
r7664 r7682 44 44 } 45 45 protected override string TargetVariable { get { return "Y"; } } 46 protected override IEnumerable<string> InputVariables { get { return new List<string>(){ "X0", "X1", "X2", "X3", "X4", "Y" }; } }47 protected override IEnumerable<string> AllowedInputVariables { get { return new List<string>(){ "X0", "X1", "X2", "X3", "X4" }; } }46 protected override string[] InputVariables { get { return new string[] { "X0", "X1", "X2", "X3", "X4", "Y" }; } } 47 protected override string[] AllowedInputVariables { get { return new string[] { "X0", "X1", "X2", "X3", "X4" }; } } 48 48 protected override int TrainingPartitionStart { get { return 0; } } 49 49 protected override int TrainingPartitionEnd { get { return 5000; } } … … 51 51 protected override int TestPartitionEnd { get { return 10000; } } 52 52 53 protected override double[,]GenerateValues() {53 protected override List<List<double>> GenerateValues() { 54 54 List<List<double>> data = new List<List<double>>(); 55 55 for (int i = 0; i < AllowedInputVariables.Count(); i++) { … … 68 68 data.Add(results); 69 69 70 return ValueGenerator.Transformation(data);70 return data; 71 71 } 72 72 } -
branches/ProblemInstancesRegressionAndClassification/HeuristicLab.Problems.Instances.Regression/3.4/Korns/KornsFunctionThirteen.cs
r7664 r7682 44 44 } 45 45 protected override string TargetVariable { get { return "Y"; } } 46 protected override IEnumerable<string> InputVariables { get { return new List<string>(){ "X0", "X1", "X2", "X3", "X4", "Y" }; } }47 protected override IEnumerable<string> AllowedInputVariables { get { return new List<string>(){ "X0", "X1", "X2", "X3", "X4" }; } }46 protected override string[] InputVariables { get { return new string[] { "X0", "X1", "X2", "X3", "X4", "Y" }; } } 47 protected override string[] AllowedInputVariables { get { return new string[] { "X0", "X1", "X2", "X3", "X4" }; } } 48 48 protected override int TrainingPartitionStart { get { return 0; } } 49 49 protected override int TrainingPartitionEnd { get { return 5000; } } … … 51 51 protected override int TestPartitionEnd { get { return 10000; } } 52 52 53 protected override double[,]GenerateValues() {53 protected override List<List<double>> GenerateValues() { 54 54 List<List<double>> data = new List<List<double>>(); 55 55 for (int i = 0; i < AllowedInputVariables.Count(); i++) { … … 68 68 data.Add(results); 69 69 70 return ValueGenerator.Transformation(data);70 return data; 71 71 } 72 72 } -
branches/ProblemInstancesRegressionAndClassification/HeuristicLab.Problems.Instances.Regression/3.4/Korns/KornsFunctionThree.cs
r7664 r7682 44 44 } 45 45 protected override string TargetVariable { get { return "Y"; } } 46 protected override IEnumerable<string> InputVariables { get { return new List<string>(){ "X0", "X1", "X2", "X3", "X4", "Y" }; } }47 protected override IEnumerable<string> AllowedInputVariables { get { return new List<string>(){ "X0", "X1", "X2", "X3", "X4" }; } }46 protected override string[] InputVariables { get { return new string[] { "X0", "X1", "X2", "X3", "X4", "Y" }; } } 47 protected override string[] AllowedInputVariables { get { return new string[] { "X0", "X1", "X2", "X3", "X4" }; } } 48 48 protected override int TrainingPartitionStart { get { return 0; } } 49 49 protected override int TrainingPartitionEnd { get { return 5000; } } … … 51 51 protected override int TestPartitionEnd { get { return 10000; } } 52 52 53 protected override double[,]GenerateValues() {53 protected override List<List<double>> GenerateValues() { 54 54 List<List<double>> data = new List<List<double>>(); 55 55 for (int i = 0; i < AllowedInputVariables.Count(); i++) { … … 68 68 data.Add(results); 69 69 70 return ValueGenerator.Transformation(data);70 return data; 71 71 } 72 72 } -
branches/ProblemInstancesRegressionAndClassification/HeuristicLab.Problems.Instances.Regression/3.4/Korns/KornsFunctionTwelve.cs
r7664 r7682 44 44 } 45 45 protected override string TargetVariable { get { return "Y"; } } 46 protected override IEnumerable<string> InputVariables { get { return new List<string>(){ "X0", "X1", "X2", "X3", "X4", "Y" }; } }47 protected override IEnumerable<string> AllowedInputVariables { get { return new List<string>(){ "X0", "X1", "X2", "X3", "X4" }; } }46 protected override string[] InputVariables { get { return new string[] { "X0", "X1", "X2", "X3", "X4", "Y" }; } } 47 protected override string[] AllowedInputVariables { get { return new string[] { "X0", "X1", "X2", "X3", "X4" }; } } 48 48 protected override int TrainingPartitionStart { get { return 0; } } 49 49 protected override int TrainingPartitionEnd { get { return 5000; } } … … 51 51 protected override int TestPartitionEnd { get { return 10000; } } 52 52 53 protected override double[,]GenerateValues() {53 protected override List<List<double>> GenerateValues() { 54 54 List<List<double>> data = new List<List<double>>(); 55 55 for (int i = 0; i < AllowedInputVariables.Count(); i++) { … … 66 66 data.Add(results); 67 67 68 return ValueGenerator.Transformation(data);68 return data; 69 69 } 70 70 } -
branches/ProblemInstancesRegressionAndClassification/HeuristicLab.Problems.Instances.Regression/3.4/Korns/KornsFunctionTwo.cs
r7664 r7682 44 44 } 45 45 protected override string TargetVariable { get { return "Y"; } } 46 protected override IEnumerable<string> InputVariables { get { return new List<string>(){ "X0", "X1", "X2", "X3", "X4", "Y" }; } }47 protected override IEnumerable<string> AllowedInputVariables { get { return new List<string>(){ "X0", "X1", "X2", "X3", "X4" }; } }46 protected override string[] InputVariables { get { return new string[] { "X0", "X1", "X2", "X3", "X4", "Y" }; } } 47 protected override string[] AllowedInputVariables { get { return new string[] { "X0", "X1", "X2", "X3", "X4" }; } } 48 48 protected override int TrainingPartitionStart { get { return 0; } } 49 49 protected override int TrainingPartitionEnd { get { return 5000; } } … … 51 51 protected override int TestPartitionEnd { get { return 10000; } } 52 52 53 protected override double[,]GenerateValues() {53 protected override List<List<double>> GenerateValues() { 54 54 List<List<double>> data = new List<List<double>>(); 55 55 for (int i = 0; i < AllowedInputVariables.Count(); i++) { … … 67 67 data.Add(results); 68 68 69 return ValueGenerator.Transformation(data);69 return data; 70 70 } 71 71 }
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