I don’t think there is such an algo. Originally SVM is for classification, but there is some twicked version that do regression, but unfortunately this is not available in apache spark, AFAIK.
> On 01 Dec 2016, at 02:53, roni <roni.epi...@gmail.com> wrote: > > Hi Spark expert, > Can anyone help for doing SVR (Support vector machine regression) in SPARK. > Thanks > R > > On Tue, Nov 29, 2016 at 6:50 PM, roni <roni.epi...@gmail.com > <mailto:roni.epi...@gmail.com>> wrote: > Hi All, > I am trying to change my R code to spark. I am using SVM regression in R . > It seems like spark is providing SVM classification . > How can I get the regression results. > In my R code I am using call to SVM () function in library("e1071") > (ftp://cran.r-project.org/pub/R/web/packages/e1071/vignettes/svmdoc.pdf > <ftp://cran.r-project.org/pub/R/web/packages/e1071/vignettes/svmdoc.pdf>) > svrObj <- svm(x , > y , > scale = TRUE, > type = "nu-regression", > kernel = "linear", > nu = .9) > > Once I get the svm object back , I get the - > from the values. > > How can I do this in spark? > Thanks in advance > Roni > >
