public void Train(NeuralNetwork.NeuralNetwork neuralNetwork, Matrix <double> inputs, Matrix <double> outputs, HyperParameters hyperParamters = null) { if (TrainingAlgorithm is LevenbergAlgorithm) { _isLeven = true; } else { _isLeven = false; } TrainingAlgorithm.Subscribe(this); var temp = Divider.Divide(inputs, outputs); Console.WriteLine(temp.Item1); Console.WriteLine(temp.Item2); _train(neuralNetwork, temp.Item1, temp.Item3, temp.Item2, temp.Item4, hyperParamters); }
private void _train(NeuralNetwork.NeuralNetwork neuralNetwork, Matrix <double> trainingSet, Matrix <double> crossValidationSet, Matrix <double> trainingSetOutput, Matrix <double> crossValidationSetOutput, HyperParameters hyperParamters = null) { TrainingAlgorithm.Train(neuralNetwork, trainingSet, crossValidationSet, trainingSetOutput, crossValidationSetOutput, hyperParamters); }