In MASS there is a nnet() function which returns, among other things, a wts[] vector giving the weights in the neural network. However, in neither the book nor in the online documentation for the routine can I find documentation of which element of wts[] goes with which link in the network---input unit to hidden layer unit, hidden layer unit to output unit, skip layer links, etc. Anybody know the answer to that, presumably in form of an algorithm for pairing them up? Thanks in advance. Regards, Will Grove U. of Minnesota Psychology Dept.
Prof Brian Ripley
2008-Jun-11 06:02 UTC
[R] documentation of wts object returned by nnet() function
See the summary() method. It labels the weights for you. On Tue, 10 Jun 2008, wmg wrote:> In MASS there is a nnet() function which returns, among other things, a wts[] > vector giving the weights in the neural network. However, in neither the book > nor in the online documentation for the routine can I find documentation of > which element of wts[] goes with which link in the network---input unit to > hidden layer unit, hidden layer unit to output unit, skip layer links, etc. > Anybody know the answer to that, presumably in form of an algorithm for > pairing them up? Thanks in advance. > > Regards, > Will Grove > U. of Minnesota Psychology Dept. > > ______________________________________________ > R-help at 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. >-- Brian D. Ripley, ripley at stats.ox.ac.uk 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