> On Mar 3, 2016, at 10:30 AM, jake88 <youtub...@telus.net> wrote:
>
> Data set attached …
Perhaps it was, and if you replied-all then it might be in the copy that was
sent directly to Charles, but it was not attached after the rhelp mail-server
scrubbed it. It wasn't labeled correctly by your email client as MIME-text.
Rename it mydata.txt and it will (probably) make it through.
--
David.
>
> require ( RSNNS )
> mydata = read.csv("mydata.csv",header = TRUE)
>
> mydata.train = mydata[3000:10000,]
>
> mydata.test = mydata[10005:10006,]
>
> myfit <- elman ( mydata.train[,2:19],mydata.train[,1], size =100 ,
> learnFuncParams =c (0.1) , maxit =1000)
>
> pred <-predict (myfit , mydata.test[,2:19])
>
>
>
>
>
> From: Charles Determan [mailto:cdeterma...@gmail.com]
> Sent: Thursday, March 03, 2016 6:31 AM
> To: jake88
> Cc: r-help
> Subject: Re: [R] RSNNS neural network
>
>
>
> Unfortunately we can only provide so much help without a reproducible
> example. Can you use a dataset that everyone would have access to to
> reproduce the problem? Otherwise it is difficult for anyone to help you.
>
> Regards,
>
> Charles
>
>
>
> On Tue, Mar 1, 2016 at 12:35 AM, jake88 <youtub...@telus.net> wrote:
>
> I am new to R and neural networks . So I trained and predicted an elman
> network like so :
>
> require ( RSNNS )
> mydata = read.csv("mydata.csv",header = TRUE)
> mydata.train = mydata[1000:2000,]
> mydata.test = mydata[800:999,]
>
> fit <- elman ( mydata.train[,2:10],mydata.train[,1], size =100
> learnFuncParams =c (0.1) , maxit =1000)
> pred <-predict (fit , mydata.test[,2:10])
>
> So pred contains the predictions .
> The problem I am having is that when I run pred <-predict (fit ,
> mydata.test[1,2:10]) repeatedly , it gives me different results each time .
> Should not the weights and bias be set permanently in the network and give
> the same result everytime ?
>
> ______________________________________________
> R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see
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> PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
>
>
>
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>
> 03/03/16
>
> ______________________________________________
> R-help@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.
David Winsemius
Alameda, CA, USA
______________________________________________
R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see
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