- Timestamp:
- 10/07/09 11:58:21 (15 years ago)
- File:
-
- 1 edited
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trunk/sources/HeuristicLab.SupportVectorMachines/3.2/Predictor.cs
r2414 r2415 79 79 Problem p = SVMHelper.CreateSVMProblem(input, input.GetVariableIndex(targetVariable), newIndex, 80 80 start, end, minTimeOffset, maxTimeOffset); 81 Problem scaledProblem = SVM.Scaling.Scale(p, transform);81 Problem scaledProblem = transform.Scale(p); 82 82 83 83 int targetVariableIndex = input.GetVariableIndex(targetVariable); … … 155 155 } 156 156 } 157 158 public static void Export(Predictor p, Stream s) { 159 StreamWriter writer = new StreamWriter(s); 160 writer.Write("Targetvariable: "); writer.WriteLine(p.targetVariable); 161 writer.Write("LowerPredictionLimit: "); writer.WriteLine(p.LowerPredictionLimit.ToString()); 162 writer.Write("UpperPredictionLimit: "); writer.WriteLine(p.UpperPredictionLimit.ToString()); 163 writer.Write("MaxTimeOffset: "); writer.WriteLine(p.MaxTimeOffset.ToString()); 164 writer.Write("MinTimeOffset: "); writer.WriteLine(p.MinTimeOffset.ToString()); 165 writer.Write("InputVariables :"); 166 writer.Write(p.GetInputVariables().First()); 167 foreach (string variable in p.GetInputVariables().Skip(1)) { 168 writer.Write("; "); writer.Write(variable); 169 } 170 writer.WriteLine(); 171 writer.Flush(); 172 using (MemoryStream memStream = new MemoryStream()) { 173 SVMModel.Export(p.Model, memStream); 174 memStream.WriteTo(s); 175 } 176 } 177 178 public static Predictor Import(Stream s) { 179 Predictor p = new Predictor(); 180 StreamReader reader = new StreamReader(s); 181 string[] targetVariableLine = reader.ReadLine().Split(':'); 182 string[] lowerPredictionLimitLine = reader.ReadLine().Split(':'); 183 string[] upperPredictionLimitLine = reader.ReadLine().Split(':'); 184 string[] maxTimeOffsetLine = reader.ReadLine().Split(':'); 185 string[] minTimeOffsetLine = reader.ReadLine().Split(':'); 186 string[] inputVariableLine = reader.ReadLine().Split(':', ';'); 187 188 p.targetVariable = targetVariableLine[1].Trim(); 189 p.LowerPredictionLimit = double.Parse(lowerPredictionLimitLine[1]); 190 p.UpperPredictionLimit = double.Parse(upperPredictionLimitLine[1]); 191 p.maxTimeOffset = int.Parse(maxTimeOffsetLine[1]); 192 p.minTimeOffset = int.Parse(minTimeOffsetLine[1]); 193 int i = 1; 194 foreach (string inputVariable in inputVariableLine.Skip(1)) { 195 p.variableNames[inputVariable.Trim()] = i++; 196 } 197 p.svmModel = SVMModel.Import(s); 198 return p; 199 } 157 200 } 158 201 }
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