[R] Rstudio crashed when I try to train a nnet model.
@zwj|08 @end|ng |rom gm@||@com
Mon Mar 22 04:54:46 CET 2021
This should be a different issue. It looks like there is no problem in the
R terminal. Does the crash happen every time when you run the code in
RStudio? If so, this should be a bug in RStudio and you need to consult
RStudio's mailing list as R and RStudio are maintained by different teams.
On Mon, Mar 22, 2021 at 12:57 AM Baki UNAL <bakiunal using yahoo.com> wrote:
> Hi Jiefei
> I run the code below in RGui
> > nn2 <- nnet(TQ~.,data = train, size=c(15,15), linout=T, MaxNWts =4000,
> But I got the following output:
> # weights: 435
> initial value 55650.887782
> final value 55650.887782
> Program early converged. Program didn't any calculations.
> On Sunday, March 21, 2021, 07:35:31 PM GMT+3, Jiefei Wang <
> szwjf08 using gmail.com> wrote:
> Hi Baki,
> Perhaps out of memory? Would you be able to run your code through the R
> terminal? It probably can give us more information to debug the issue.
> On Mon, Mar 22, 2021 at 12:23 AM Baki UNAL via R-help <
> r-help using r-project.org> wrote:
> I tried to train a neural network with following code:
> nn2 <- nnet(TQ~.,data = train, size=c(15,15), linout=T, MaxNWts =4000,
> When I executed the code R studio crashed with following error:
> "R Session Aborted
> R encountered a fatal error.
> The session was terminated.
> Start new session"
> When I set the hidden layer as c(15) as below the code works fine.
> nn2 <- nnet(TQ~.,data = train, size=c(15), linout=T, MaxNWts =4000,
> What could be the problem?
> Best regards.
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