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.nm@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.jog@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_win@163.com>
Cc: Neha Mehta <nehamehta.nm@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_win@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.nm@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