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
>>
>>
>>
>
>
