public void TrainOn(NNDataSet innds, int numberofEpochs)
{
for (int i = 0; i < numberofEpochs; i++)
{
innds.RefreshDataset();
while (innds.HasMoreExamples())
{
NNExample nne = innds.GetExampleAtRandom();
this.ProcessInput(nne.GetInput());
Vector error = layer.ErrorVectorFrom(nne.GetTarget());
this.ProcessError(error);
}
}
}
public int[] TestOnDataSet(NNDataSet nnds)
{
int[] result = new int[] { 0, 0 };
nnds.RefreshDataset();
while (nnds.HasMoreExamples())
{
NNExample nne = nnds.GetExampleAtRandom();
Vector prediction = this.Predict(nne);
if (nne.IsCorrect(prediction))
{
result[0] = result[0] + 1;
}
else
{
result[1] = result[1] + 1;
}
}
return(result);
}
