I would run 200 iterations of nnet() such that optimization is done for 'f',
where f = error_cross_validation * (error_cross_validation /
error_training_set). Any guidance on how to optimize for this per-cycle
dependent variable (f) is appreciated.
Thank you,
supra
[[alternative HTML version deleted]]
______________________________________________
R-help@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
