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Posted to user@spark.apache.org by prabeesh k <pr...@gmail.com> on 2013/11/27 07:03:50 UTC
SVM Prediction
Hi All,
Is it possible SVM prediction with DStream data. The SVM model is
trained using RDD after that is there any possibility to use Dstream data
for prediction. I am not that much aware of SVM.
Please suggest.
Thanks in Advance.
Ragards,
Prabeesh
Re: SVM Prediction
Posted by Evan Sparks <ev...@gmail.com>.
Right -as long as the elements of the stream are (for example) Array[Double] you should be able to make a prediction on each point if you trained the SVM on LabeledPoint examples that are comparable to what you're getting with the DStream.
> On Nov 26, 2013, at 11:00 PM, prabeesh k <pr...@gmail.com> wrote:
>
> Hi Evan,
> Actually the input data for prediction is streaming data. In spark example training data is RDD. But want to predict the model using Dstream(streaming data). I think it is impossible to train the the model using streaming data. So are we able to train SVM using static data and predictions using Streaming data.
>
>
>> On Wed, Nov 27, 2013 at 12:18 PM, Evan Sparks <ev...@gmail.com> wrote:
>> Hi Prabeesh,
>>
>> Once you have an SVM model trained, you can make predictions with the model (via the model's .predict() method) with any new input data as long as it's in the same format that the model was trained with.
>>
>> - Evan
>>
>> > On Nov 26, 2013, at 10:03 PM, prabeesh k <pr...@gmail.com> wrote:
>> >
>> > Hi All,
>> > Is it possible SVM prediction with DStream data. The SVM model is trained using RDD after that is there any possibility to use Dstream data for prediction. I am not that much aware of SVM.
>> > Please suggest.
>> >
>> > Thanks in Advance.
>> >
>> > Ragards,
>> > Prabeesh
>> >
>> >
>> >
>
Re: SVM Prediction
Posted by prabeesh k <pr...@gmail.com>.
Hi Evan,
Actually the input data for prediction is streaming data. In spark
example training data is RDD. But want to predict the model using
Dstream(streaming data). I think it is impossible to train the the model
using streaming data. So are we able to train SVM using static data and
predictions using Streaming data.
On Wed, Nov 27, 2013 at 12:18 PM, Evan Sparks <ev...@gmail.com> wrote:
> Hi Prabeesh,
>
> Once you have an SVM model trained, you can make predictions with the
> model (via the model's .predict() method) with any new input data as long
> as it's in the same format that the model was trained with.
>
> - Evan
>
> > On Nov 26, 2013, at 10:03 PM, prabeesh k <pr...@gmail.com> wrote:
> >
> > Hi All,
> > Is it possible SVM prediction with DStream data. The SVM model is
> trained using RDD after that is there any possibility to use Dstream data
> for prediction. I am not that much aware of SVM.
> > Please suggest.
> >
> > Thanks in Advance.
> >
> > Ragards,
> > Prabeesh
> >
> >
> >
>
Re: SVM Prediction
Posted by Evan Sparks <ev...@gmail.com>.
Hi Prabeesh,
Once you have an SVM model trained, you can make predictions with the model (via the model's .predict() method) with any new input data as long as it's in the same format that the model was trained with.
- Evan
> On Nov 26, 2013, at 10:03 PM, prabeesh k <pr...@gmail.com> wrote:
>
> Hi All,
> Is it possible SVM prediction with DStream data. The SVM model is trained using RDD after that is there any possibility to use Dstream data for prediction. I am not that much aware of SVM.
> Please suggest.
>
> Thanks in Advance.
>
> Ragards,
> Prabeesh
>
>
>