Re: Can we use existing R model in Spark

[Sun Rui]

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("")
> 
> 
> 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
>> 
> 
> 
> 
> 

Re: Can we use existing R model in Spark

[Neha Mehta]

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("")
>
>
> 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
>>
>>
>>
>
>

Re: Can we use existing R model in Spark

[sujeet jog]

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.
> 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
> to predict values on Spark. Is it possible to do the same? If yes, then how?
>
> Thanks & Regards,
> Neha
>
>
>

Re: Can we use existing R model in Spark

[Sun Rui]

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 to 
> predict values on Spark. Is it possible to do the same? If yes, then how?
> 
> Thanks & Regards,
> Neha
> 

Can we use existing R model in Spark

[Neha Mehta]

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