Changeset 3877
- Timestamp:
- 05/31/10 16:03:37 (15 years ago)
- Location:
- trunk/sources
- Files:
-
- 15 added
- 7 edited
Legend:
- Unmodified
- Added
- Removed
-
trunk/sources/HeuristicLab 3.3.sln
r3865 r3877 49 49 {6A5F8C2D-B0C3-4B36-BC20-9B1A91EE6DB6} = {6A5F8C2D-B0C3-4B36-BC20-9B1A91EE6DB6} 50 50 {1849A92E-DCFC-4E05-BB0A-D7B7A3DAFCFB} = {1849A92E-DCFC-4E05-BB0A-D7B7A3DAFCFB} 51 {29E4B033-1FEF-4FE1-AE17-0A9319D7C54E} = {29E4B033-1FEF-4FE1-AE17-0A9319D7C54E} 51 52 {0E27A536-1C4A-4624-A65E-DC4F4F23E3E1} = {0E27A536-1C4A-4624-A65E-DC4F4F23E3E1} 52 53 {799B0B38-E384-4A17-A73C-F211EB854592} = {799B0B38-E384-4A17-A73C-F211EB854592} … … 60 61 {2C429157-9C34-4DD3-9D5F-B444B751E39A} = {2C429157-9C34-4DD3-9D5F-B444B751E39A} 61 62 {3BD61258-31DA-4B09-89C0-4F71FEF5F05A} = {3BD61258-31DA-4B09-89C0-4F71FEF5F05A} 63 {01BBCB5A-144A-4A7E-908E-079849E2F7CF} = {01BBCB5A-144A-4A7E-908E-079849E2F7CF} 62 64 {96E5ED5B-187D-4012-9CDA-D85CDAD38342} = {96E5ED5B-187D-4012-9CDA-D85CDAD38342} 63 65 {C664305E-497C-4533-A140-967DEDB05C19} = {C664305E-497C-4533-A140-967DEDB05C19} … … 68 70 {56F9106A-079F-4C61-92F6-86A84C2D84B7} = {56F9106A-079F-4C61-92F6-86A84C2D84B7} 69 71 {30D6606B-96E7-436C-B5D7-EA1455848E37} = {30D6606B-96E7-436C-B5D7-EA1455848E37} 72 {A8D5676D-9662-437A-B44D-ECB4046CDE12} = {A8D5676D-9662-437A-B44D-ECB4046CDE12} 70 73 {DC3D7072-7999-4719-B65D-3997744D5DC1} = {DC3D7072-7999-4719-B65D-3997744D5DC1} 71 74 {76945D76-CA61-4147-9DC2-0ACDCDDF87F9} = {76945D76-CA61-4147-9DC2-0ACDCDDF87F9} … … 271 274 EndProject 272 275 Project("{FAE04EC0-301F-11D3-BF4B-00C04F79EFBC}") = "HeuristicLab.Problems.ExternalEvaluation-3.3", "HeuristicLab.Problems.ExternalEvaluation\3.3\HeuristicLab.Problems.ExternalEvaluation-3.3.csproj", "{25735DB4-8E54-4A2C-83E3-A60C76565E55}" 276 EndProject 277 Project("{FAE04EC0-301F-11D3-BF4B-00C04F79EFBC}") = "HeuristicLab.Algorithms.DataAnalysis-3.3", "HeuristicLab.Algorithms.DataAnalysis\3.3\HeuristicLab.Algorithms.DataAnalysis-3.3.csproj", "{A8D5676D-9662-437A-B44D-ECB4046CDE12}" 273 278 EndProject 274 279 Project("{2150E333-8FDC-42A3-9474-1A3956D46DE8}") = "HeuristicLab.ProtobufCS", "HeuristicLab.ProtobufCS", "{189F7770-5540-4832-B9A0-82474009680C}" … … 1739 1744 {29E4B033-1FEF-4FE1-AE17-0A9319D7C54E}.Release|x86.Build.0 = Release|x86 1740 1745 {29E4B033-1FEF-4FE1-AE17-0A9319D7C54E}.Services|Any CPU.ActiveCfg = Release|Any CPU 1741 {29E4B033-1FEF-4FE1-AE17-0A9319D7C54E}.Services|Any CPU.Build.0 = Release|Any CPU 1742 {29E4B033-1FEF-4FE1-AE17-0A9319D7C54E}.Services|x64.ActiveCfg = Release|Any CPU 1743 {29E4B033-1FEF-4FE1-AE17-0A9319D7C54E}.Services|x86.ActiveCfg = Release|Any CPU 1746 {29E4B033-1FEF-4FE1-AE17-0A9319D7C54E}.Services|x64.ActiveCfg = Release|x64 1747 {29E4B033-1FEF-4FE1-AE17-0A9319D7C54E}.Services|x86.ActiveCfg = Release|x86 1744 1748 {29E4B033-1FEF-4FE1-AE17-0A9319D7C54E}.Silverlight2|Any CPU.ActiveCfg = Release|x64 1745 1749 {29E4B033-1FEF-4FE1-AE17-0A9319D7C54E}.Silverlight2|x64.ActiveCfg = Release|x64 … … 1759 1763 {01BBCB5A-144A-4A7E-908E-079849E2F7CF}.Release|x86.Build.0 = Release|x86 1760 1764 {01BBCB5A-144A-4A7E-908E-079849E2F7CF}.Services|Any CPU.ActiveCfg = Release|Any CPU 1761 {01BBCB5A-144A-4A7E-908E-079849E2F7CF}.Services|Any CPU.Build.0 = Release|Any CPU 1762 {01BBCB5A-144A-4A7E-908E-079849E2F7CF}.Services|x64.ActiveCfg = Release|Any CPU 1763 {01BBCB5A-144A-4A7E-908E-079849E2F7CF}.Services|x86.ActiveCfg = Release|Any CPU 1765 {01BBCB5A-144A-4A7E-908E-079849E2F7CF}.Services|x64.ActiveCfg = Release|x64 1766 {01BBCB5A-144A-4A7E-908E-079849E2F7CF}.Services|x86.ActiveCfg = Release|x86 1764 1767 {01BBCB5A-144A-4A7E-908E-079849E2F7CF}.Silverlight2|Any CPU.ActiveCfg = Release|x64 1765 1768 {01BBCB5A-144A-4A7E-908E-079849E2F7CF}.Silverlight2|x64.ActiveCfg = Release|x64 … … 1820 1823 {25735DB4-8E54-4A2C-83E3-A60C76565E55}.Services|x64.ActiveCfg = Release|Any CPU 1821 1824 {25735DB4-8E54-4A2C-83E3-A60C76565E55}.Services|x86.ActiveCfg = Release|Any CPU 1825 {A8D5676D-9662-437A-B44D-ECB4046CDE12}.Debug|Any CPU.ActiveCfg = Debug|Any CPU 1826 {A8D5676D-9662-437A-B44D-ECB4046CDE12}.Debug|Any CPU.Build.0 = Debug|Any CPU 1827 {A8D5676D-9662-437A-B44D-ECB4046CDE12}.Debug|x64.ActiveCfg = Debug|x64 1828 {A8D5676D-9662-437A-B44D-ECB4046CDE12}.Debug|x64.Build.0 = Debug|x64 1829 {A8D5676D-9662-437A-B44D-ECB4046CDE12}.Debug|x86.ActiveCfg = Debug|x86 1830 {A8D5676D-9662-437A-B44D-ECB4046CDE12}.Debug|x86.Build.0 = Debug|x86 1831 {A8D5676D-9662-437A-B44D-ECB4046CDE12}.Release|Any CPU.ActiveCfg = Release|Any CPU 1832 {A8D5676D-9662-437A-B44D-ECB4046CDE12}.Release|Any CPU.Build.0 = Release|Any CPU 1833 {A8D5676D-9662-437A-B44D-ECB4046CDE12}.Release|x64.ActiveCfg = Release|x64 1834 {A8D5676D-9662-437A-B44D-ECB4046CDE12}.Release|x64.Build.0 = Release|x64 1835 {A8D5676D-9662-437A-B44D-ECB4046CDE12}.Release|x86.ActiveCfg = Release|x86 1836 {A8D5676D-9662-437A-B44D-ECB4046CDE12}.Release|x86.Build.0 = Release|x86 1837 {A8D5676D-9662-437A-B44D-ECB4046CDE12}.Services|Any CPU.ActiveCfg = Release|Any CPU 1838 {A8D5676D-9662-437A-B44D-ECB4046CDE12}.Services|x64.ActiveCfg = Release|x64 1839 {A8D5676D-9662-437A-B44D-ECB4046CDE12}.Services|x86.ActiveCfg = Release|x86 1822 1840 {25735DB4-8E54-4A2C-83E3-A60C76565E55}.Silverlight2|Any CPU.ActiveCfg = Release|x64 1823 1841 {25735DB4-8E54-4A2C-83E3-A60C76565E55}.Silverlight2|x64.ActiveCfg = Release|x64 -
trunk/sources/HeuristicLab.Problems.DataAnalysis.Regression/3.3/SupportVectorRegression/BestSupportVectorRegressionSolutionAnalyzer.cs
r3842 r3877 40 40 [Item("BestSupportVectorRegressionSolutionAnalyzer", "An operator for analyzing the best support vector solution of regression problems.")] 41 41 [StorableClass] 42 public sealed class BestS ymbolicRegressionSolutionAnalyzer : SingleSuccessorOperator, IAnalyzer {42 public sealed class BestSupportVectorRegressionSolutionAnalyzer : SingleSuccessorOperator, IAnalyzer { 43 43 private const string SupportVectorRegressionModelParameterName = "SupportVectorRegressionModel"; 44 44 private const string ProblemDataParameterName = "ProblemData"; … … 83 83 } 84 84 85 public BestS ymbolicRegressionSolutionAnalyzer()85 public BestSupportVectorRegressionSolutionAnalyzer() 86 86 : base() { 87 87 Parameters.Add(new ScopeTreeLookupParameter<SupportVectorMachineModel>(SupportVectorRegressionModelParameterName, "The support vector regression models to analyze.")); -
trunk/sources/HeuristicLab.Problems.DataAnalysis.Regression/3.3/Symbolic/SymbolicRegressionProblem.cs
r3841 r3877 116 116 set { MaxFunctionArgumentsParameter.Value = value; } 117 117 } 118 public SymbolicExpressionTreeCreator SolutionCreator {118 public new SymbolicExpressionTreeCreator SolutionCreator { 119 119 get { return SolutionCreatorParameter.Value; } 120 120 set { SolutionCreatorParameter.Value = value; } … … 136 136 } 137 137 138 public ISymbolicRegressionEvaluator Evaluator {138 public new ISymbolicRegressionEvaluator Evaluator { 139 139 get { return EvaluatorParameter.Value; } 140 140 set { EvaluatorParameter.Value = value; } … … 153 153 } 154 154 private List<IOperator> operators; 155 public IEnumerable<IOperator> Operators {155 public override IEnumerable<IOperator> Operators { 156 156 get { return operators; } 157 157 } … … 305 305 private void Evaluator_QualityParameter_ActualNameChanged(object sender, EventArgs e) { 306 306 OnQualityParameterNameChanged(e); 307 }308 #endregion309 310 #region events311 public event EventHandler SolutionCreatorChanged;312 private void RaiseSolutionCreatorChanged(EventArgs e) {313 var changed = SolutionCreatorChanged;314 if (changed != null)315 changed(this, e);316 }317 public event EventHandler EvaluatorChanged;318 private void RaiseEvaluatorChanged(EventArgs e) {319 var changed = EvaluatorChanged;320 if (changed != null)321 changed(this, e);322 }323 324 public event EventHandler OperatorsChanged;325 private void RaiseOperatorsChanged(EventArgs e) {326 var changed = OperatorsChanged;327 if (changed != null)328 changed(this, e);329 }330 public event EventHandler Reset;331 private void RaiseReset(EventArgs e) {332 var changed = Reset;333 if (changed != null)334 changed(this, e);335 307 } 336 308 #endregion -
trunk/sources/HeuristicLab.Problems.DataAnalysis/3.3/DataAnalysisProblem.cs
r3545 r3877 31 31 using System.Drawing; 32 32 using System.IO; 33 using HeuristicLab.Optimization; 33 34 34 35 namespace HeuristicLab.Problems.DataAnalysis { … … 36 37 [Creatable("Problems")] 37 38 [StorableClass] 38 public class DataAnalysisProblem : ParameterizedNamedItem {39 public class DataAnalysisProblem : ParameterizedNamedItem, IDataAnalysisProblem { 39 40 private const string DataAnalysisProblemDataParameterName = "DataAnalysisProblemData"; 40 41 public override Image ItemImage { … … 90 91 91 92 public override IDeepCloneable Clone(Cloner cloner) { 92 DataAnalysisProblem clone = (DataAnalysisProblem) 93 DataAnalysisProblem clone = (DataAnalysisProblem)base.Clone(cloner); 93 94 clone.RegisterParameterEvents(); 94 95 clone.RegisterParameterValueEvents(); 95 96 return clone; 96 97 } 98 99 #region IProblem Members 100 101 public virtual IParameter SolutionCreatorParameter { 102 get { return null; } 103 } 104 105 public virtual ISolutionCreator SolutionCreator { 106 get { return null; } 107 } 108 109 public virtual IParameter EvaluatorParameter { 110 get { return null; } 111 } 112 113 public virtual IEvaluator Evaluator { 114 get { return null; } 115 } 116 117 public virtual IEnumerable<IOperator> Operators { 118 get { return new IOperator[0]; } 119 } 120 121 public event EventHandler SolutionCreatorChanged; 122 protected void RaiseSolutionCreatorChanged(EventArgs e) { 123 var changed = SolutionCreatorChanged; 124 if (changed != null) 125 changed(this, e); 126 } 127 128 public event EventHandler EvaluatorChanged; 129 protected void RaiseEvaluatorChanged(EventArgs e) { 130 var changed = EvaluatorChanged; 131 if (changed != null) 132 changed(this, e); 133 } 134 135 public event EventHandler OperatorsChanged; 136 protected void RaiseOperatorsChanged(EventArgs e) { 137 var changed = OperatorsChanged; 138 if (changed != null) 139 changed(this, e); 140 } 141 142 public event EventHandler Reset; 143 protected void RaiseReset(EventArgs e) { 144 var changed = Reset; 145 if (changed != null) 146 changed(this, e); 147 } 148 #endregion 97 149 } 98 150 } -
trunk/sources/HeuristicLab.Problems.DataAnalysis/3.3/HeuristicLab.Problems.DataAnalysis-3.3.csproj
r3842 r3877 98 98 <Compile Include="Evaluators\SimpleVarianceAccountedForEvaluator.cs" /> 99 99 <Compile Include="HeuristicLabProblemsDataAnalysisPlugin.cs" /> 100 <Compile Include="Interfaces\IDataAnalysisProblem.cs" /> 100 101 <Compile Include="MatrixExtensions.cs" /> 101 102 <Compile Include="Properties\AssemblyInfo.cs" /> 103 <Compile Include="SupportVectorMachine\ParameterAdjustmentProblem\SupportVectorRegressionParameterAdjustmentEvaluator.cs" /> 104 <Compile Include="SupportVectorMachine\ParameterAdjustmentProblem\SupportVectorRegressionParameterAdjustmentProblem.cs" /> 105 <Compile Include="SupportVectorMachine\SupportVectorMachineCrossValidationEvaluator.cs" /> 102 106 <Compile Include="SupportVectorMachine\SupportVectorMachineModel.cs" /> 103 107 <Compile Include="SupportVectorMachine\SupportVectorMachineModelCreator.cs" /> … … 154 158 <Name>HeuristicLab.Data-3.3</Name> 155 159 </ProjectReference> 160 <ProjectReference Include="..\..\HeuristicLab.Encodings.RealVectorEncoding\3.3\HeuristicLab.Encodings.RealVectorEncoding-3.3.csproj"> 161 <Project>{BB6D334A-4BB6-4674-9883-31A6EBB32CAB}</Project> 162 <Name>HeuristicLab.Encodings.RealVectorEncoding-3.3</Name> 163 </ProjectReference> 156 164 <ProjectReference Include="..\..\HeuristicLab.Encodings.SymbolicExpressionTreeEncoding\3.3\HeuristicLab.Encodings.SymbolicExpressionTreeEncoding-3.3.csproj"> 157 165 <Project>{125D3006-67F5-48CB-913E-73C0548F17FA}</Project> … … 169 177 <Project>{23DA7FF4-D5B8-41B6-AA96-F0561D24F3EE}</Project> 170 178 <Name>HeuristicLab.Operators-3.3</Name> 179 </ProjectReference> 180 <ProjectReference Include="..\..\HeuristicLab.Optimization\3.3\HeuristicLab.Optimization-3.3.csproj"> 181 <Project>{14AB8D24-25BC-400C-A846-4627AA945192}</Project> 182 <Name>HeuristicLab.Optimization-3.3</Name> 171 183 </ProjectReference> 172 184 <ProjectReference Include="..\..\HeuristicLab.Parameters\3.3\HeuristicLab.Parameters-3.3.csproj"> -
trunk/sources/HeuristicLab.Problems.DataAnalysis/3.3/SupportVectorMachine/SupportVectorMachineModelCreator.cs
r3842 r3877 46 46 private const string NuParameterName = "Nu"; 47 47 private const string GammaParameterName = "Gamma"; 48 private const string EpsilonParameterName = "Epsilon"; 49 private const string SamplesStartParameterName = "SamplesStart"; 50 private const string SamplesEndParameterName = "SamplesEnd"; 48 51 private const string ModelParameterName = "SupportVectorMachineModel"; 49 52 … … 52 55 get { return (IValueLookupParameter<DataAnalysisProblemData>)Parameters[DataAnalysisProblemDataParameterName]; } 53 56 } 54 public IValue Parameter<StringValue> SvmTypeParameter {55 get { return (IValue Parameter<StringValue>)Parameters[SvmTypeParameterName]; }57 public IValueLookupParameter<StringValue> SvmTypeParameter { 58 get { return (IValueLookupParameter<StringValue>)Parameters[SvmTypeParameterName]; } 56 59 } 57 public IValue Parameter<StringValue> KernelTypeParameter {58 get { return (IValue Parameter<StringValue>)Parameters[KernelTypeParameterName]; }60 public IValueLookupParameter<StringValue> KernelTypeParameter { 61 get { return (IValueLookupParameter<StringValue>)Parameters[KernelTypeParameterName]; } 59 62 } 60 63 public IValueLookupParameter<DoubleValue> NuParameter { … … 66 69 public IValueLookupParameter<DoubleValue> GammaParameter { 67 70 get { return (IValueLookupParameter<DoubleValue>)Parameters[GammaParameterName]; } 71 } 72 public IValueLookupParameter<DoubleValue> EpsilonParameter { 73 get { return (IValueLookupParameter<DoubleValue>)Parameters[EpsilonParameterName]; } 74 } 75 public IValueLookupParameter<IntValue> SamplesStartParameter { 76 get { return (IValueLookupParameter<IntValue>)Parameters[SamplesStartParameterName]; } 77 } 78 public IValueLookupParameter<IntValue> SamplesEndParameter { 79 get { return (IValueLookupParameter<IntValue>)Parameters[SamplesEndParameterName]; } 68 80 } 69 81 public ILookupParameter<SupportVectorMachineModel> SupportVectorMachineModelParameter { … … 90 102 get { return GammaParameter.ActualValue; } 91 103 } 104 public DoubleValue Epsilon { 105 get { return EpsilonParameter.ActualValue; } 106 } 107 public IntValue SamplesStart { 108 get { return SamplesStartParameter.ActualValue; } 109 } 110 public IntValue SamplesEnd { 111 get { return SamplesEndParameter.ActualValue; } 112 } 92 113 #endregion 93 114 94 115 public SupportVectorMachineModelCreator() 95 116 : base() { 96 #region svm types97 StringValue cSvcType = new StringValue("C_SVC").AsReadOnly();98 StringValue nuSvcType = new StringValue("NU_SVC").AsReadOnly();99 StringValue eSvrType = new StringValue("EPSILON_SVR").AsReadOnly();100 117 StringValue nuSvrType = new StringValue("NU_SVR").AsReadOnly(); 101 ItemSet<StringValue> allowedSvmTypes = new ItemSet<StringValue>();102 allowedSvmTypes.Add(cSvcType);103 allowedSvmTypes.Add(nuSvcType);104 allowedSvmTypes.Add(eSvrType);105 allowedSvmTypes.Add(nuSvrType);106 #endregion107 #region kernel types108 118 StringValue rbfKernelType = new StringValue("RBF").AsReadOnly(); 109 StringValue linearKernelType = new StringValue("LINEAR").AsReadOnly();110 StringValue polynomialKernelType = new StringValue("POLY").AsReadOnly();111 StringValue sigmoidKernelType = new StringValue("SIGMOID").AsReadOnly();112 ItemSet<StringValue> allowedKernelTypes = new ItemSet<StringValue>();113 allowedKernelTypes.Add(rbfKernelType);114 allowedKernelTypes.Add(linearKernelType);115 allowedKernelTypes.Add(polynomialKernelType);116 allowedKernelTypes.Add(sigmoidKernelType);117 #endregion118 119 Parameters.Add(new ValueLookupParameter<DataAnalysisProblemData>(DataAnalysisProblemDataParameterName, "The data analysis problem data to use for training.")); 119 Parameters.Add(new ConstrainedValueParameter<StringValue>(SvmTypeParameterName, "The type of SVM to use.", allowedSvmTypes, nuSvrType));120 Parameters.Add(new ConstrainedValueParameter<StringValue>(KernelTypeParameterName, "The kernel type to use for the SVM.", allowedKernelTypes, rbfKernelType));120 Parameters.Add(new ValueLookupParameter<StringValue>(SvmTypeParameterName, "The type of SVM to use.", nuSvrType)); 121 Parameters.Add(new ValueLookupParameter<StringValue>(KernelTypeParameterName, "The kernel type to use for the SVM.", rbfKernelType)); 121 122 Parameters.Add(new ValueLookupParameter<DoubleValue>(NuParameterName, "The value of the nu parameter nu-SVC, one-class SVM and nu-SVR.")); 122 123 Parameters.Add(new ValueLookupParameter<DoubleValue>(CostParameterName, "The value of the C (cost) parameter of C-SVC, epsilon-SVR and nu-SVR.")); 123 124 Parameters.Add(new ValueLookupParameter<DoubleValue>(GammaParameterName, "The value of the gamma parameter in the kernel function.")); 125 Parameters.Add(new ValueLookupParameter<DoubleValue>(EpsilonParameterName, "The value of the epsilon parameter for epsilon-SVR.")); 126 Parameters.Add(new ValueLookupParameter<IntValue>(SamplesStartParameterName, "The first index of the data set partition the support vector machine should use for training.")); 127 Parameters.Add(new ValueLookupParameter<IntValue>(SamplesEndParameterName, "The last index of the data set partition the support vector machine should use for training.")); 124 128 Parameters.Add(new LookupParameter<SupportVectorMachineModel>(ModelParameterName, "The result model generated by the SVM.")); 125 129 } 126 130 127 131 public override IOperation Apply() { 128 129 132 SupportVectorMachineModel model = TrainModel(DataAnalysisProblemData, 133 SamplesStart.Value, SamplesEnd.Value, 130 134 SvmType.Value, KernelType.Value, 131 Cost.Value, Nu.Value, Gamma.Value );135 Cost.Value, Nu.Value, Gamma.Value, Epsilon.Value); 132 136 SupportVectorMachineModelParameter.ActualValue = model; 133 137 … … 135 139 } 136 140 141 private static SupportVectorMachineModel TrainModel( 142 DataAnalysisProblemData problemData, 143 string svmType, string kernelType, 144 double cost, double nu, double gamma, double epsilon) { 145 return TrainModel(problemData, problemData.TrainingSamplesStart.Value, problemData.TrainingSamplesEnd.Value, svmType, kernelType, cost, nu, gamma, epsilon); 146 } 147 137 148 public static SupportVectorMachineModel TrainModel( 138 149 DataAnalysisProblemData problemData, 150 int start, int end, 139 151 string svmType, string kernelType, 140 double cost, double nu, double gamma ) {152 double cost, double nu, double gamma, double epsilon) { 141 153 int targetVariableIndex = problemData.Dataset.GetVariableIndex(problemData.TargetVariable.Value); 142 154 … … 148 160 parameter.Nu = nu; 149 161 parameter.Gamma = gamma; 162 parameter.P = epsilon; 150 163 parameter.CacheSize = 500; 151 164 parameter.Probability = false; 152 165 153 166 154 SVM.Problem problem = SupportVectorMachineUtil.CreateSvmProblem(problemData, problemData.TrainingSamplesStart.Value, problemData.TrainingSamplesEnd.Value);167 SVM.Problem problem = SupportVectorMachineUtil.CreateSvmProblem(problemData, start, end); 155 168 SVM.RangeTransform rangeTransform = SVM.RangeTransform.Compute(problem); 156 169 SVM.Problem scaledProblem = Scaling.Scale(rangeTransform, problem); 157 170 var model = new SupportVectorMachineModel(); 158 159 171 model.Model = SVM.Training.Train(scaledProblem, parameter); 160 172 model.RangeTransform = rangeTransform; -
trunk/sources/HeuristicLab/3.3/Files.txt
r3865 r3877 4 4 HeuristicLab.PluginInfrastructure\3.3:ICSharpCode.SharpZipLib.dll 5 5 HeuristicLab.PluginInfrastructure\3.3:ICSharpCode.SharpZipLib License.txt 6 HeuristicLab.Algorithms.DataAnalysis\3.3:HeuristicLab.Algorithms.DataAnalysis-3.3.dll 6 7 HeuristicLab.Algorithms.EvolutionStrategy\3.3:HeuristicLab.Algorithms.EvolutionStrategy-3.3.dll 7 8 HeuristicLab.Algorithms.GeneticAlgorithm\3.3:HeuristicLab.Algorithms.GeneticAlgorithm-3.3.dll
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