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);
}
