Changeset 8430 for branches/HeuristicLab.TimeSeries/HeuristicLab.Algorithms.DataAnalysis/3.4/NeuralNetwork/NeuralNetworkClassification.cs
- Timestamp:
- 08/08/12 14:04:17 (12 years ago)
- Location:
- branches/HeuristicLab.TimeSeries
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- 4 edited
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branches/HeuristicLab.TimeSeries
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old new 20 20 bin 21 21 protoc.exe 22 _ReSharper.HeuristicLab.TimeSeries-3.3
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branches/HeuristicLab.TimeSeries/HeuristicLab.Algorithms.DataAnalysis
- Property svn:mergeinfo changed
/trunk/sources/HeuristicLab.Algorithms.DataAnalysis (added) merged: 8121,8137,8139,8246,8323-8325,8366-8368,8371-8372,8375,8396-8397,8399,8401,8403,8416-8417
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branches/HeuristicLab.TimeSeries/HeuristicLab.Algorithms.DataAnalysis/3.4
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old new 5 5 *.vs10x 6 6 Plugin.cs 7 *.user
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branches/HeuristicLab.TimeSeries/HeuristicLab.Algorithms.DataAnalysis/3.4/NeuralNetwork/NeuralNetworkClassification.cs
r7259 r8430 53 53 get { return (IFixedValueParameter<DoubleValue>)Parameters[DecayParameterName]; } 54 54 } 55 public ConstrainedValueParameter<IntValue> HiddenLayersParameter {56 get { return ( ConstrainedValueParameter<IntValue>)Parameters[HiddenLayersParameterName]; }55 public IConstrainedValueParameter<IntValue> HiddenLayersParameter { 56 get { return (IConstrainedValueParameter<IntValue>)Parameters[HiddenLayersParameterName]; } 57 57 } 58 58 public IFixedValueParameter<IntValue> NodesInFirstHiddenLayerParameter { … … 185 185 string targetVariable = problemData.TargetVariable; 186 186 IEnumerable<string> allowedInputVariables = problemData.AllowedInputVariables; 187 IEnumerable<int> rows = problemData.TrainingIndi zes;187 IEnumerable<int> rows = problemData.TrainingIndices; 188 188 double[,] inputMatrix = AlglibUtil.PrepareInputMatrix(dataset, allowedInputVariables.Concat(new string[] { targetVariable }), rows); 189 189 if (inputMatrix.Cast<double>().Any(x => double.IsNaN(x) || double.IsInfinity(x))) … … 195 195 int nClasses = classValues.Count(); 196 196 // map original class values to values [0..nClasses-1] 197 Dictionary<double, double> classIndi zes = new Dictionary<double, double>();197 Dictionary<double, double> classIndices = new Dictionary<double, double>(); 198 198 for (int i = 0; i < nClasses; i++) { 199 classIndi zes[classValues[i]] = i;199 classIndices[classValues[i]] = i; 200 200 } 201 201 for (int row = 0; row < nRows; row++) { 202 inputMatrix[row, nFeatures] = classIndi zes[inputMatrix[row, nFeatures]];202 inputMatrix[row, nFeatures] = classIndices[inputMatrix[row, nFeatures]]; 203 203 } 204 204
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