On Sun, 1 Aug 2004, Matthew Oliver wrote: > Dear R users, > I have been playing with the nnet and predict.nnet functions and have two questions. > > 1) Is it possible to specify a validation set as well as a training set > in the nnet function before using predict.nnet to test the nnet object > against new data?
No, as nnet just trains. What would the validation set be for? (Validation is testing a fitted model against new data.) > 2) Is it possible to specify more than one layer of neurons? Yes. nnet is a wrapper for other functions, and see how it constructs a net -- the construction is general. -- Brian D. Ripley, [EMAIL PROTECTED] Professor of Applied Statistics, http://www.stats.ox.ac.uk/~ripley/ University of Oxford, Tel: +44 1865 272861 (self) 1 South Parks Road, +44 1865 272866 (PA) Oxford OX1 3TG, UK Fax: +44 1865 272595 ______________________________________________ [EMAIL PROTECTED] mailing list https://www.stat.math.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
