- Timestamp:
- 02/20/18 08:02:17 (7 years ago)
- Location:
- trunk/HeuristicLab.Algorithms.DataAnalysis/3.4/NeuralNetwork
- Files:
-
- 4 edited
Legend:
- Unmodified
- Added
- Removed
-
trunk/HeuristicLab.Algorithms.DataAnalysis/3.4/NeuralNetwork/NeuralNetworkClassification.cs
r15783 r15786 185 185 IEnumerable<int> rows = problemData.TrainingIndices; 186 186 double[,] inputMatrix = dataset.ToArray(allowedInputVariables.Concat(new string[] { targetVariable }), rows); 187 if (inputMatrix.ContainsNan Inf())187 if (inputMatrix.ContainsNanOrInfinity()) 188 188 throw new NotSupportedException("Neural network classification does not support NaN or infinity values in the input dataset."); 189 189 -
trunk/HeuristicLab.Algorithms.DataAnalysis/3.4/NeuralNetwork/NeuralNetworkEnsembleClassification.cs
r15783 r15786 171 171 IEnumerable<int> rows = problemData.TrainingIndices; 172 172 double[,] inputMatrix = dataset.ToArray(allowedInputVariables.Concat(new string[] { targetVariable }), rows); 173 if (inputMatrix.ContainsNan Inf())173 if (inputMatrix.ContainsNanOrInfinity()) 174 174 throw new NotSupportedException("Neural network ensemble classification does not support NaN or infinity values in the input dataset."); 175 175 -
trunk/HeuristicLab.Algorithms.DataAnalysis/3.4/NeuralNetwork/NeuralNetworkEnsembleRegression.cs
r15783 r15786 170 170 IEnumerable<int> rows = problemData.TrainingIndices; 171 171 double[,] inputMatrix = dataset.ToArray(allowedInputVariables.Concat(new string[] { targetVariable }), rows); 172 if (inputMatrix.ContainsNan Inf())172 if (inputMatrix.ContainsNanOrInfinity()) 173 173 throw new NotSupportedException("Neural network ensemble regression does not support NaN or infinity values in the input dataset."); 174 174 -
trunk/HeuristicLab.Algorithms.DataAnalysis/3.4/NeuralNetwork/NeuralNetworkRegression.cs
r15783 r15786 186 186 IEnumerable<int> rows = problemData.TrainingIndices; 187 187 double[,] inputMatrix = dataset.ToArray(allowedInputVariables.Concat(new string[] { targetVariable }), rows); 188 if (inputMatrix.ContainsNan Inf())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
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