Thanks for the confirmation, Fabian.
*Regards,*
*Abhishek Kumar Singh*
*Search Engine Engineer*
*Mob :+91 7709735480 *
*...*
On Sat, May 25, 2019 at 8:55 PM Fabian Hueske wrote:
> Hi Abhishek,
>
> Your observation is correct. Right now, the Flink ML module is in a
> half-baked state and is
Hi Abhishek,
Your observation is correct. Right now, the Flink ML module is in a
half-baked state and is only supported in batch mode.
It is not integrated with the DataStream API. FLIP-23 proposes a feature
that allows to evaluated an externally trained model (stored as PMML) on a
stream of data.
Thanks again for the above resources.
I went through the project and also ran the example on my system to get a
grasp of the architecture.
However, this project does not use Flink ML in it at all.
Also, after having done enough research on Flink ML, I also found that it
does not let us persist t
Thanks a lot Rong and Sameer.
Looks like this is what I wanted.
I will try the above projects.
*Regards,*
*Abhishek Kumar Singh*
*Search Engineer*
*Mob :+91 7709735480 *
*...*
On Wed, May 15, 2019 at 8:00 AM Rong Rong wrote:
> Hi Abhishek,
>
> Based on your description, I think this FLIP
Hi Abhishek,
Based on your description, I think this FLIP proposal[1] seems to fit
perfectly for your use case.
you can also checkout the Github repo by Boris (CCed) for the PMML
implementation[2]. This proposal is still under development [3], you are
more than welcome to test out and share your f
If you can save the model as a PMML file you can apply it on a stream using one
of the java pmml libraries.
Sent from my iPhone
> On May 14, 2019, at 4:44 PM, Abhishek Singh wrote:
>
> I was looking forward to using Flink ML for my project where I think I can
> use SVM.
>
> I have been able
I was looking forward to using Flink ML for my project where I think I can
use SVM.
I have been able to run a bath job using flink ML and trained and tested my
data.
Now I want to do the following:-
1. Applying the above-trained model to a stream of events from Kafka
(Using Data Streams) :For
