[R] Bigining with a Program of SVR
Max Kuhn
mxkuhn at gmail.com
Tue May 3 16:24:37 CEST 2011
See the examples at the end of:
http://cran.r-project.org/web/packages/caret/vignettes/caretTrain.pdf
for a QSAR data set for modeling the log blood-brain barrier
concentration. SVMs are not used there but, if you use train(), the
syntax is very similar.
On Tue, May 3, 2011 at 9:38 AM, ypriverol <ypriverol at gmail.com> wrote:
> well, first of all thank for your answer. I need some example that works with
> Support Vector Regression. This is the format of my data:
> VDP V1 V2 ....
> 9.15 1234.5 10
> 9.15 2345.6 15
> 6.7 789.0 12
> 6.7 234.6 11
> 3.2 123.6 5
> 3.2 235.7 8
>
> VDP is the experimental value of the property that i want to predict with
> the model and more accurate. The other variables V1, V2 ... are the
> properties to generate the model. I need some examples that introduce me in
> this field. I read some examples from e1071 but all of them are for
> classification problems.
>
> thanks for your help in advance
>
> --
> View this message in context: http://r.789695.n4.nabble.com/Bigining-with-a-Program-of-SVR-tp3484476p3492487.html
> Sent from the R help mailing list archive at Nabble.com.
>
> ______________________________________________
> R-help at r-project.org 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.
>
--
Max
More information about the R-help
mailing list