Re: [R] nnet 10-fold cross-validation
Hi all, there is tune() in the e1071 package for doing this in general, and, among others, a tune.nnet() wrapper (see ?tune): > tmodel = tune.nnet(Species ~ ., data = iris, size = 1:5) > summary(tmodel) Parameter tuning of `nnet': - sampling method: 10-fold cross validation - best parameters: size 1 - best performance: 0.0133 - Detailed performance results: size error dispersion 11 0.0133 0.02810913 22 0.0267 0.04661373 33 0.0267 0.04661373 44 0.0200 0.04499657 55 0.0267 0.04661373 > plot(tmodel) > tmodel$best.model a 4-1-3 network with 11 weights inputs: Sepal.Length Sepal.Width Petal.Length Petal.Width output(s): Species options were - softmax modelling etc. Best David On 7/23/07, S.O. Nyangoma <[EMAIL PROTECTED]> wrote: > > Hi > > It clear that to do a classification with svm under 10-fold cross > > validation one uses > > > > svm(Xm, newlabs, type = "C-classification", kernel = "linear",cross = > > 10) > > > > What corresponds to the nnet? > > nnet(.,cross=10)? __ R-help@stat.math.ethz.ch mailing list 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.
Re: [R] nnet 10-fold cross-validation
do it manually. divide your dataset into 10 parts then train and test accordingly. Saeed S.O. Nyangoma wrote: > Hi > It clear that to do a classification with svm under 10-fold cross > validation one uses > > svm(Xm, newlabs, type = "C-classification", kernel = "linear",cross = > 10) > > What corresponds to the nnet? > nnet(.,cross=10)? > > Regards > > __ > R-help@stat.math.ethz.ch mailing list > 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. > __ R-help@stat.math.ethz.ch mailing list 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.
Re: [R] nnet 10-fold cross-validation
Please read the documentation. nnet() is support software for a book, and that has explicit examples of this, which you will find in the scripts of the VR bundle (but I don't expect them to be comprehensible without the book). On Mon, 23 Jul 2007, S.O. Nyangoma wrote: > Hi > It clear that to do a classification with svm under 10-fold cross > validation one uses > > svm(Xm, newlabs, type = "C-classification", kernel = "linear",cross = > 10) > > What corresponds to the nnet? > nnet(.,cross=10)? > > Regards > > __ > R-help@stat.math.ethz.ch mailing list > 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. > -- Brian D. Ripley, [EMAIL PROTECTED] Professor of Applied Statistics, http://www.stats.ox.ac.uk/~ripley/ University of Oxford, Tel: +44 1865 272861 (self) 1 South Parks Road, +44 1865 272866 (PA) Oxford OX1 3TG, UKFax: +44 1865 272595 __ R-help@stat.math.ethz.ch mailing list 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.
Re: [R] nnet 10-fold cross-validation
there is no such thing in nnet(), if i understand correctly. how hard it is to code one though? On 7/23/07, S.O. Nyangoma <[EMAIL PROTECTED]> wrote: > Hi > It clear that to do a classification with svm under 10-fold cross > validation one uses > > svm(Xm, newlabs, type = "C-classification", kernel = "linear",cross = > 10) > > What corresponds to the nnet? > nnet(.,cross=10)? > > Regards > > __ > R-help@stat.math.ethz.ch mailing list > 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. > -- === "I am dying with the help of too many physicians." - Alexander the Great, on his deathbed === WenSui Liu (http://spaces.msn.com/statcompute/blog) __ R-help@stat.math.ethz.ch mailing list 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.
[R] nnet 10-fold cross-validation
Hi It clear that to do a classification with svm under 10-fold cross validation one uses svm(Xm, newlabs, type = "C-classification", kernel = "linear",cross = 10) What corresponds to the nnet? nnet(.,cross=10)? Regards __ R-help@stat.math.ethz.ch mailing list 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.
