| IGLib
    1.7.2
    The IGLib base library for development of numerical, technical and business applications. | 
| Classes | |
| class | IG.Num.NeuralTrainingParameters | 
| Contains Parameters that define neural network architecture and trainig procedure, together with achieved results after training such as various error norms.  More... | |
| class | IG.Num.NeuralTrainingLimits | 
| Contains Parameters that define neural network architecture limits and trainig parameter limits.  More... | |
| class | IG.Num.NeuralTrainingTable | 
| Contains Parameters that define neural network architecture and trainig limits, together with achieved results after training such as various error norms.  More... | |
| class | IG.Num.NeuralTrainingParameters | 
| Contains Parameters that define neural network architecture and trainig procedure, together with achieved results after training such as various error norms.  More... | |
| class | IG.Num.NeuralTrainingParameters.ComparerErrorTrainingVector | 
| class | IG.Num.NeuralTrainingParameters.ComparerBase | 
| Base comparer class (implementation of the IComparer{NeuralTrainingParameters} interface) for conmparing objects of type NeuralTrainingParameters More... | |
| class | IG.Num.NeuralTrainingParameters.ComparerTrainingTime | 
| class | IG.Num.TestTrainingParametersComparers | 
| Class for testing of Comparers for NeuralTrainingParameters. More... | |
| Namespaces | |
| package | IG.Num |