[R] usage of the trianed networks by nnet without R enviromen t

Liaw, Andy andy_liaw at merck.com
Fri Sep 9 19:50:35 CEST 2005

One possibility is to look at predict.nnet(), and

- Write an R function that write out parts of an nnet object that are needed
by predict.nnet() to an external file.

- Re-write predict.nnet() in C, reading the model information from the
external file.  Obviously you'll also need the C source for the code that
predict.nnet() calls, and modify those as needed to strip out dependency on
R, if possible.


> -----Original Message-----
> From: r-help-bounces at stat.math.ethz.ch 
> [mailto:r-help-bounces at stat.math.ethz.ch] On Behalf Of Baoqiang Cao
> Sent: Friday, September 09, 2005 11:49 AM
> To: R-help
> Subject: [R] usage of the trianed networks by nnet without R 
> enviroment
> Dear All,
> The nnet function in R is wonderful. I used it to train a 
> network, and I'd like to use that network without R 
> enviroment. Any suggestion so that I can start?
> Best, 
>  Baoqiang Cao

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