Re: Can we use existing R model in Spark

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 <mailto:sujeet....@gmail.com>> > Date: Mon, May

Re: Can we use existing R model in Spark

, 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 wor

Re: Can we use existing R model in Spark

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("") On Mon, May 30, 2016 at 3:57 PM, Sun Rui wrote: > Unfortunately no. Spark does not support loading external modes (for >

Re: Can we use existing R model in Spark

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 wrote: > > Hi, > > I have an existing random forest model created

Can we use existing R model in Spark

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