Changeset 16538 for branches/2847_M5Regression/HeuristicLab.Algorithms.DataAnalysis/3.4/SupportVectorMachine/SupportVectorMachineModel.cs
- Timestamp:
- 01/18/19 14:39:01 (5 years ago)
- Location:
- branches/2847_M5Regression
- Files:
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- 3 edited
- 1 moved
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branches/2847_M5Regression/HeuristicLab.Algorithms.DataAnalysis
- Property svn:mergeinfo changed
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branches/2847_M5Regression/HeuristicLab.Algorithms.DataAnalysis/3.4
- Property svn:mergeinfo changed
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branches/2847_M5Regression/HeuristicLab.Algorithms.DataAnalysis/3.4/SupportVectorMachine/SupportVectorMachineModel.cs
r14185 r16538 1 1 #region License Information 2 2 /* HeuristicLab 3 * Copyright (C) 2002-201 6Heuristic and Evolutionary Algorithms Laboratory (HEAL)3 * Copyright (C) 2002-2018 Heuristic and Evolutionary Algorithms Laboratory (HEAL) 4 4 * 5 5 * This file is part of HeuristicLab. … … 126 126 return new SupportVectorRegressionSolution(this, new RegressionProblemData(problemData)); 127 127 } 128 #endregion 128 129 public bool IsProblemDataCompatible(IRegressionProblemData problemData, out string errorMessage) { 130 return RegressionModel.IsProblemDataCompatible(this, problemData, out errorMessage); 131 } 132 #endregion 133 134 public override bool IsProblemDataCompatible(IDataAnalysisProblemData problemData, out string errorMessage) { 135 if (problemData == null) throw new ArgumentNullException("problemData", "The provided problemData is null."); 136 137 var regressionProblemData = problemData as IRegressionProblemData; 138 if (regressionProblemData != null) 139 return IsProblemDataCompatible(regressionProblemData, out errorMessage); 140 141 var classificationProblemData = problemData as IClassificationProblemData; 142 if (classificationProblemData != null) 143 return IsProblemDataCompatible(classificationProblemData, out errorMessage); 144 145 throw new ArgumentException("The problem data is not a regression nor a classification problem data. Instead a " + problemData.GetType().GetPrettyName() + " was provided.", "problemData"); 146 } 129 147 130 148 #region IClassificationModel Members … … 153 171 } 154 172 #endregion 173 155 174 private IEnumerable<double> GetEstimatedValuesHelper(IDataset dataset, IEnumerable<int> rows) { 156 175 // calculate predictions for the currently requested rows 157 svm_problem problem = SupportVectorMachineUtil.CreateSvmProblem(dataset, TargetVariable,allowedInputVariables, rows);176 svm_problem problem = SupportVectorMachineUtil.CreateSvmProblem(dataset, allowedInputVariables, rows); 158 177 svm_problem scaledProblem = rangeTransform.Scale(problem); 159 178
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