[R] number of weights in multinom ?
Prof Brian Ripley
ripley at stats.ox.ac.uk
Tue Nov 18 12:48:05 CET 2014
On 18/11/2014 11:35, Franck Vermet wrote:
> In the function multinom (package nnet), I get the following message after training for a model with 9 inputs and 6 classes (output) :
> # weights: 66 (50 variable)
> I understand that there are 50 variables in the model,
> but I don't understand the number 66.
> How can we interpret this number ?
That is not what the message says: 'variable' is not a plural noun but
an adjective, the antonym of 'fixed'.
Package nnet is support software for a book: you need to do your own
homework by reading it.
> Franck Vermet.
> R-help at r-project.org mailing list
> PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
That does mean you: in the absence for a reproducible example no one can
Also, repeated posting is very strongly discouraged: you sent this on
Nov 13 (and also spammed CRAN with it).
Brian D. Ripley, ripley at stats.ox.ac.uk
Emeritus Professor of Applied Statistics, University of Oxford
1 South Parks Road, Oxford OX1 3TG, UK
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