[R] train nnet
gilhamto at gmail.com
Fri Dec 14 16:52:33 CET 2007
Can some one tell me how to train 'mynn' of this type?:
mynn <- nnet(y ~ x1 + ..+ x8, data = lgist, size = 2, rang = 0.1,
decay = 5e-4, maxit = 200)
I assume that this nn is untrained, and to train I have to split the
original data into train:test data set,
do leave-one-out refitting to refine the weights (please straighten
this up if I was wrong).
I just don't know how to do it in R. Is 'training' and
'training.reports' in (AMORE) able to do it?
Thank you for any light on this.
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