Changeset 14393 for trunk/sources/HeuristicLab.Algorithms.DataAnalysis/3.4/NeuralNetwork/NeuralNetworkEnsembleClassification.cs

Timestamp:

11/15/16 21:23:43 (8 years ago)

Author:

gkronber

Message:

#2697:

• removed AlglibUtil.cs and added an extension method .ToArray(names, rows) to IDataset instead.
• refactored transformation so that it is possible to apply an transformation without resetting the parameters
• Used transformations instead of Scaling as far as possible.
• Moved TakeEvery extension method to HL.Common

File:

• trunk/sources/HeuristicLab.Algorithms.DataAnalysis/3.4/NeuralNetwork/NeuralNetworkEnsembleClassification.cs (modified) (2 diffs)

trunk/sources/HeuristicLab.Algorithms.DataAnalysis/3.4/NeuralNetwork/NeuralNetworkEnsembleClassification.cs

@@ -124 +124 @@
     public NeuralNetworkEnsembleClassification()
       : base() {
-      var validHiddenLayerValues = new ItemSet<IntValue>(new IntValue[] { 
-        (IntValue)new IntValue(0).AsReadOnly(), 
-        (IntValue)new IntValue(1).AsReadOnly(), 
+      var validHiddenLayerValues = new ItemSet<IntValue>(new IntValue[] {
+        (IntValue)new IntValue(0).AsReadOnly(),
+        (IntValue)new IntValue(1).AsReadOnly(),
         (IntValue)new IntValue(2).AsReadOnly() });
       var selectedHiddenLayerValue = (from v in validHiddenLayerValues
@@ -169 +169 @@
       IEnumerable<string> allowedInputVariables = problemData.AllowedInputVariables;
       IEnumerable<int> rows = problemData.TrainingIndices;
-      double[,] inputMatrix = AlglibUtil.PrepareInputMatrix(dataset, allowedInputVariables.Concat(new string[] { targetVariable }), rows);
+      double[,] inputMatrix = dataset.ToArray(allowedInputVariables.Concat(new string[] { targetVariable }), rows);
       if (inputMatrix.Cast<double>().Any(x => double.IsNaN(x) || double.IsInfinity(x)))
         throw new NotSupportedException("Neural network ensemble classification does not support NaN or infinity values in the input dataset.");