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 <[email protected]> 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 <[email protected]> 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
> >
> >
> >
>
