Hello there,
Yes, I'd tried scale as well. I mean, I could do my preprocessing
separately and it was working fine.
I was just wondering how preProcess argument in train function works. As
far as I know, when preProcess argument is set, it normalizes inputs but
not outputs.
Then I've figured we co
Hello,
Have you tried alternative methods of pre-processing your data, such
as simply calling scale()? What is the effect on convergence, for both
the caret package and and the neuralnet package? There's an example
using scale() with the neuralnet package at the link below:
https://datascienceplu
Hello there,
I am using caret and neuralnet to train a neural network to predict times
table. I am using 'backprop' algorithm for neuralnet to experiment and
learn.
Before using caret, I've trained a neuralnet without using caret, I've
normalized my input & outputs using preProcess with 'range' m
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