Hi Sun, I am trying to build a model in Spark. Here are the parameters which were used in R for creating the model, I am unable to figure out how to specify a similar input to the random forest regressor in Spark so that I get a similar model in Spark.
https <https://cran.r-project.org/web/packages/randomForest/randomForest.pdf> ://cran.r-project.org/web/packages/ <https://cran.r-project.org/web/packages/randomForest/randomForest.pdf> randomForest <https://cran.r-project.org/web/packages/randomForest/randomForest.pdf> /randomForest.pdf <https://cran.r-project.org/web/packages/randomForest/randomForest.pdf> mytry=3 ntree=500 importance=TRUE maxnodes = NULL On May 31, 2016 7:03 AM, "Sun Rui" <sunrise_...@163.com> wrote: I mean train random forest model (not using R) and use it for prediction together using Spark ML. On May 30, 2016, at 20:15, Neha Mehta <nehamehta...@gmail.com> wrote: Thanks Sujeet.. will try it out. Hi Sun, Can you please tell me what did you mean by "Maybe you can try using the existing random forest model" ? did you mean creating the model again using Spark MLLIB? Thanks, Neha > From: sujeet jog <sujeet....@gmail.com> > Date: Mon, May 30, 2016 at 4:52 PM > Subject: Re: Can we use existing R model in Spark > To: Sun Rui <sunrise_...@163.com> > Cc: Neha Mehta <nehamehta...@gmail.com>, user <user@spark.apache.org> > > > Try to invoke a R script from Spark using rdd pipe method , get the work > done & and receive the model back in RDD. > > > for ex :- > . rdd.pipe("<FileName.R>") > > > On Mon, May 30, 2016 at 3:57 PM, Sun Rui <sunrise_...@163.com> wrote: > >> Unfortunately no. Spark does not support loading external modes (for >> examples, PMML) for now. >> Maybe you can try using the existing random forest model in Spark. >> >> On May 30, 2016, at 18:21, Neha Mehta <nehamehta...@gmail.com> wrote: >> >> Hi, >> >> I have an existing random forest model created using R. I want to use >> that to predict values on Spark. Is it possible to do the same? If yes, >> then how? >> >> Thanks & Regards, >> Neha >> >> >> > >
