Changeset 16388 for branches/2892_LR-prediction-intervals/HeuristicLab.Algorithms.DataAnalysis/3.4/NeuralNetwork/NeuralNetworkRegression.cs
- Timestamp:
- 12/15/18 12:36:08 (5 years ago)
- Location:
- branches/2892_LR-prediction-intervals
- Files:
-
- 4 edited
Legend:
- Unmodified
- Added
- Removed
-
branches/2892_LR-prediction-intervals
- Property svn:ignore
-
old new 1 *.docstates 2 *.psess 3 *.resharper 4 *.suo 5 *.user 6 *.vsp 7 Doxygen 8 FxCopResults.txt 9 Google.ProtocolBuffers-0.9.1.dll 10 Google.ProtocolBuffers-2.4.1.473.dll 11 HeuristicLab 3.3.5.1.ReSharper.user 12 HeuristicLab 3.3.6.0.ReSharper.user 13 HeuristicLab.4.5.resharper.user 14 HeuristicLab.ExtLibs.6.0.ReSharper.user 15 HeuristicLab.Scripting.Development 16 HeuristicLab.resharper.user 17 ProtoGen.exe 1 18 TestResults 19 _ReSharper.HeuristicLab 20 _ReSharper.HeuristicLab 3.3 21 _ReSharper.HeuristicLab 3.3 Tests 22 _ReSharper.HeuristicLab.ExtLibs 23 bin 24 protoc.exe 25 obj 26 .vs
-
- Property svn:mergeinfo changed
-
Property
svn:global-ignores
set to
*.nuget
packages
- Property svn:ignore
-
branches/2892_LR-prediction-intervals/HeuristicLab.Algorithms.DataAnalysis
- Property svn:mergeinfo changed
-
branches/2892_LR-prediction-intervals/HeuristicLab.Algorithms.DataAnalysis/3.4
- Property svn:mergeinfo changed
-
branches/2892_LR-prediction-intervals/HeuristicLab.Algorithms.DataAnalysis/3.4/NeuralNetwork/NeuralNetworkRegression.cs
r15583 r16388 115 115 public NeuralNetworkRegression() 116 116 : base() { 117 var validHiddenLayerValues = new ItemSet<IntValue>(new IntValue[] { 118 (IntValue)new IntValue(0).AsReadOnly(), 119 (IntValue)new IntValue(1).AsReadOnly(), 117 var validHiddenLayerValues = new ItemSet<IntValue>(new IntValue[] { 118 (IntValue)new IntValue(0).AsReadOnly(), 119 (IntValue)new IntValue(1).AsReadOnly(), 120 120 (IntValue)new IntValue(2).AsReadOnly() }); 121 121 var selectedHiddenLayerValue = (from v in validHiddenLayerValues … … 186 186 IEnumerable<int> rows = problemData.TrainingIndices; 187 187 double[,] inputMatrix = dataset.ToArray(allowedInputVariables.Concat(new string[] { targetVariable }), rows); 188 if (inputMatrix.C ast<double>().Any(x => double.IsNaN(x) || double.IsInfinity(x)))188 if (inputMatrix.ContainsNanOrInfinity()) 189 189 throw new NotSupportedException("Neural network regression does not support NaN or infinity values in the input dataset."); 190 190
Note: See TracChangeset
for help on using the changeset viewer.