ing the
> existing random forest model" ? did you mean creating the model again using
> Spark MLLIB?
>
> Thanks,
> Neha
>
>
>
>
> From: sujeet jog mailto:sujeet@gmail.com>>
> Date: Mon, May 30, 2016 at 4:52 PM
> Subject: Re: Can we use existi
t; Subject: Re: Can we use existing R model in Spark
> To: Sun Rui
> Cc: Neha Mehta , user
>
>
> 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(&quo
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
> examples, PMML) for now.
> May
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 using R. I want to use that
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
