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...@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....@gmail.com <mailto: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 <mailto:sunrise_...@163.com>>
> Cc: Neha Mehta <nehamehta...@gmail.com <mailto:nehamehta...@gmail.com>>, user
> <user@spark.apache.org <mailto: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
> <mailto: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
>> <mailto: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
>>
>
>
>
>
