- Timestamp:
- 04/12/17 10:31:51 (8 years ago)
- File:
-
- 1 edited
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trunk/sources/HeuristicLab.Algorithms.DataAnalysis/3.4/GaussianProcess/GaussianProcessModel.cs
r14843 r14854 259 259 private static double[,] GetData(IDataset ds, IEnumerable<string> allowedInputs, IEnumerable<int> rows, Scaling scaling) { 260 260 if (scaling != null) { 261 // BackwardsCompatibility3.3 262 #region Backwards compatible code, remove with 3.4 261 263 // TODO: completely remove Scaling class 262 List<ITransformation<double>> transformations = new List<ITransformation<double>>(); 263 264 foreach (var varName in allowedInputs) { 265 double min; 266 double max; 267 scaling.GetScalingParameters(varName, out min, out max); 268 var add = -min / (max - min); 269 var mult = 1.0 / (max - min); 270 transformations.Add(new LinearTransformation(allowedInputs) { Addend = add, Multiplier = mult }); 271 } 272 return ds.ToArray(allowedInputs, transformations, rows); 264 List<string> variablesList = allowedInputs.ToList(); 265 List<int> rowsList = rows.ToList(); 266 267 double[,] matrix = new double[rowsList.Count, variablesList.Count]; 268 269 int col = 0; 270 foreach (string column in variablesList) { 271 var values = scaling.GetScaledValues(ds, column, rowsList); 272 int row = 0; 273 foreach (var value in values) { 274 matrix[row, col] = value; 275 row++; 276 } 277 col++; 278 } 279 return matrix; 280 #endregion 273 281 } else { 274 282 return ds.ToArray(allowedInputs, rows);
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