On May 30, 2016, at 20:15, Neha Mehta <firstname.lastname@example.org> 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 <email@example.com>
Date: Mon, May 30, 2016 at 4:52 PM
Subject: Re: Can we use existing R model in Spark
To: Sun Rui <firstname.lastname@example.org>
Cc: Neha Mehta <email@example.com>, user <firstname.lastname@example.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 <email@example.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 <firstname.lastname@example.org> wrote:
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,