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Ignore:
Timestamp:
11/17/16 15:41:33 (7 years ago)
Author:
gkronber
Message:

#2697: reverse merge of r14378, r14390, r14391, r14393, r14394, r14396

Location:
trunk/sources/HeuristicLab.Algorithms.DataAnalysis/3.4/NeuralNetwork
Files:
6 edited

Legend:

Unmodified
Added
Removed

  • trunk/sources/HeuristicLab.Algorithms.DataAnalysis/3.4/NeuralNetwork/NeuralNetworkClassification.cs

    r14393 r14400  
    183183      IEnumerable<string> allowedInputVariables = problemData.AllowedInputVariables;
    184184      IEnumerable<int> rows = problemData.TrainingIndices;
    185       double[,] inputMatrix = dataset.ToArray(allowedInputVariables.Concat(new string[] { targetVariable }), rows);
     185      double[,] inputMatrix = AlglibUtil.PrepareInputMatrix(dataset, allowedInputVariables.Concat(new string[] { targetVariable }), rows);
    186186      if (inputMatrix.Cast<double>().Any(x => double.IsNaN(x) || double.IsInfinity(x)))
    187187        throw new NotSupportedException("Neural network classification does not support NaN or infinity values in the input dataset.");

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

    r14393 r14400  
    124124    public NeuralNetworkEnsembleClassification()
    125125      : base() {
    126       var validHiddenLayerValues = new ItemSet<IntValue>(new IntValue[] {
    127         (IntValue)new IntValue(0).AsReadOnly(),
    128         (IntValue)new IntValue(1).AsReadOnly(),
     126      var validHiddenLayerValues = new ItemSet<IntValue>(new IntValue[] { 
     127        (IntValue)new IntValue(0).AsReadOnly(), 
     128        (IntValue)new IntValue(1).AsReadOnly(), 
    129129        (IntValue)new IntValue(2).AsReadOnly() });
    130130      var selectedHiddenLayerValue = (from v in validHiddenLayerValues
    … …  
    169169      IEnumerable<string> allowedInputVariables = problemData.AllowedInputVariables;
    170170      IEnumerable<int> rows = problemData.TrainingIndices;
    171       double[,] inputMatrix = dataset.ToArray(allowedInputVariables.Concat(new string[] { targetVariable }), rows);
     171      double[,] inputMatrix = AlglibUtil.PrepareInputMatrix(dataset, allowedInputVariables.Concat(new string[] { targetVariable }), rows);
    172172      if (inputMatrix.Cast<double>().Any(x => double.IsNaN(x) || double.IsInfinity(x)))
    173173        throw new NotSupportedException("Neural network ensemble classification does not support NaN or infinity values in the input dataset.");

  • trunk/sources/HeuristicLab.Algorithms.DataAnalysis/3.4/NeuralNetwork/NeuralNetworkEnsembleModel.cs

    r14393 r14400  
    9191
    9292    public IEnumerable<double> GetEstimatedValues(IDataset dataset, IEnumerable<int> rows) {
    93       double[,] inputData = dataset.ToArray(allowedInputVariables, rows);
     93      double[,] inputData = AlglibUtil.PrepareInputMatrix(dataset, allowedInputVariables, rows);
    9494
    9595      int n = inputData.GetLength(0);
    … …  
    108108
    109109    public override IEnumerable<double> GetEstimatedClassValues(IDataset dataset, IEnumerable<int> rows) {
    110       double[,] inputData = dataset.ToArray(allowedInputVariables, rows);
     110      double[,] inputData = AlglibUtil.PrepareInputMatrix(dataset, allowedInputVariables, rows);
    111111
    112112      int n = inputData.GetLength(0);

  • trunk/sources/HeuristicLab.Algorithms.DataAnalysis/3.4/NeuralNetwork/NeuralNetworkEnsembleRegression.cs

    r14393 r14400  
    168168      IEnumerable<string> allowedInputVariables = problemData.AllowedInputVariables;
    169169      IEnumerable<int> rows = problemData.TrainingIndices;
    170       double[,] inputMatrix = dataset.ToArray(allowedInputVariables.Concat(new string[] { targetVariable }), rows);
     170      double[,] inputMatrix = AlglibUtil.PrepareInputMatrix(dataset, allowedInputVariables.Concat(new string[] { targetVariable }), rows);
    171171      if (inputMatrix.Cast<double>().Any(x => double.IsNaN(x) || double.IsInfinity(x)))
    172172        throw new NotSupportedException("Neural network ensemble regression does not support NaN or infinity values in the input dataset.");

  • trunk/sources/HeuristicLab.Algorithms.DataAnalysis/3.4/NeuralNetwork/NeuralNetworkModel.cs

    r14393 r14400  
    9595
    9696    public IEnumerable<double> GetEstimatedValues(IDataset dataset, IEnumerable<int> rows) {
    97       double[,] inputData = dataset.ToArray(allowedInputVariables, rows);
     97      double[,] inputData = AlglibUtil.PrepareInputMatrix(dataset, allowedInputVariables, rows);
    9898
    9999      int n = inputData.GetLength(0);
    … …  
    112112
    113113    public override IEnumerable<double> GetEstimatedClassValues(IDataset dataset, IEnumerable<int> rows) {
    114       double[,] inputData = dataset.ToArray( allowedInputVariables, rows);
     114      double[,] inputData = AlglibUtil.PrepareInputMatrix(dataset, allowedInputVariables, rows);
    115115
    116116      int n = inputData.GetLength(0);

  • trunk/sources/HeuristicLab.Algorithms.DataAnalysis/3.4/NeuralNetwork/NeuralNetworkRegression.cs

    r14393 r14400  
    184184      IEnumerable<string> allowedInputVariables = problemData.AllowedInputVariables;
    185185      IEnumerable<int> rows = problemData.TrainingIndices;
    186       double[,] inputMatrix = dataset.ToArray(allowedInputVariables.Concat(new string[] { targetVariable }), rows);
     186      double[,] inputMatrix = AlglibUtil.PrepareInputMatrix(dataset, allowedInputVariables.Concat(new string[] { targetVariable }), rows);
    187187      if (inputMatrix.Cast<double>().Any(x => double.IsNaN(x) || double.IsInfinity(x)))
    188188        throw new NotSupportedException("Neural network regression does not support NaN or infinity values in the input dataset.");
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