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From Sun Rui <sunrise_...@163.com>
Subject Re: Can we use existing R model in Spark
Date Tue, 31 May 2016 01:33:10 GMT
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 <mailto: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 <mailto:sunrise_win@163.com>>
> Cc: Neha Mehta <nehamehta.nm@gmail.com <mailto:nehamehta.nm@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_win@163.com <mailto: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 <mailto: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
>> 
> 
> 
> 
> 


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