[R] Rstudio crashed when I try to train a nnet model.

[Jiefei Wang]

Hi Baki,

The crash is very likely due to the bug in nnet. If this is the case, there
is almost nothing you can do. I think you only need to wait for the
response from the package maintainer. You can send your data to the
maintainer and help them to debug the issue.

Best,
Jiefei

On Mon, Mar 22, 2021 at 8:20 PM Baki UNAL <bakiunal using yahoo.com> wrote:

> Hi,
>
> I tried to run the code in another computer in RGui. This time program run
> until final iteration. But after the last iteration RGui quit without any
> error code. I mailed this issue to Brian Ripley who is the maintainer of
> R nnet package. What can I do to solve this problem?
>
> Best regards
> Baki
>
> On Monday, March 22, 2021, 06:55:00 AM GMT+3, Jiefei Wang <
> szwjf08 using gmail.com> wrote:
>
>
> Hi Baki,
>
> 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.
>
> Best,
> Jiefei
>
> 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,
> maxit=2000)
>
> But I got the following output:
>
> # weights:  435
> initial  value 55650.887782
> final  value 55650.887782
> converged
>
> Program early converged. Program didn't any calculations.
>
> Best,
> Baki
>
> 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.
>
> Best,
> Jiefei
>
> On Mon, Mar 22, 2021 at 12:23 AM Baki UNAL via R-help <
> r-help using r-project.org> wrote:
>
> Hi,
> I tried to train a neural network with following code:
> nn2 <- nnet(TQ~.,data = train, size=c(15,15), linout=T, MaxNWts =4000,
> maxit=2000)
>
> 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,
> maxit=2000)
>
> What could be the problem?
>
> Best regards.
>
>
>         [[alternative HTML version deleted]]
>
> ______________________________________________
> R-help using r-project.org mailing list -- To UNSUBSCRIBE and more, see
> 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.
>
>

	[[alternative HTML version deleted]]