Hi all,
@Theodore:
+1 for the CTR use-case. Thanks for the suggestion!
@Katherin:
+1 for reflecting the choices made here and contributor commitment in Gdoc.
@Tao, @Ventura:
It's great to here you have been working on ML on Flink :)
I hope we can all aggregate our efforts somehow. It would be best if you
could contribute some of your work.
I've started putting together a Gdoc specifically for
*Offline/incremental learning on Streaming API*:
https://docs.google.com/document/d/18BqoFTQ0dPkbyO-PWBMMpW5Nl0pjobSubnWpW0_r8yA/
Right now you can comment/give suggestions there. I'd like to start a
separate mailing list discussion as soon as there are enough
contributors volunteering for this direction. For now, I'm trying to
reflect the relevant part of the discussion here and the initial Gdoc [1].
[1]
https://docs.google.com/document/d/1afQbvZBTV15qF3vobVWUjxQc49h3Ud06MIRhahtJ6dw/
Cheers,
Gabor
On 2017-03-20 14:27, Ventura Del Monte wrote:
Hello everyone,
Here at DFKI, we are currently working on project that involves developing
open-source Online Machine Learning algorithms on top of Flink.
So far, we have simple moments, sampling (e.g.: simple reservoir sampling)
and sketches (e.g., Frequent Directions) built on top of scikit-like
abstractions and Flink's DataStream/KeyedStream.
Moreover, we have few industrial use cases and we are gonna validate our
implementation using real industrial data.
We plan to implement more advanced algorithms in the future as well as to
share our results with you and contribute, in case you are interested.
Best,
Ventura
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On Mon, Mar 20, 2017 at 12:26 PM, Tao Meng <oatg...@gmail.com> wrote:
Hi All,
Sorry for joining this discussion late.
My graduation thesis is about online learning system. I would build it on
flink in the next three months.
I'd like to contribute on:
- Online learning
On Mon, Mar 20, 2017 at 6:51 PM Katherin Eri <katherinm...@gmail.com>
wrote:
Hello, Theodore
Could you please move vectors of development and their prioritized
positions from *## Executive summary* to the google doc?
Could you please also create some table in google doc, that is representing
the selected directions and persons, who would like to drive or participate
in the particular topic, in order to make this process transparent for
community and sum up current state of commitment of contributors?
There we could simply inscribe us to some topic.
And 1+ for CTR prediction case.
вс, 19 мар. 2017 г. в 16:49, Theodore Vasiloudis <
theodoros.vasilou...@gmail.com>:
Hello Stavros,
The way I thought we'd do it is that each shepherd would be responsible
for
organizing the project: that includes setting up a Google doc, sending an
email to the dev list to inform the wider community, and if possible,
personally contacting the people who expressed interest in the project.
Would you be willing to lead that effort for the model serving project?
Regards,
Theodore
--
Sent from a mobile device. May contain autocorrect errors.
On Mar 19, 2017 3:49 AM, "Stavros Kontopoulos" <st.kontopou...@gmail.com
wrote:
Hi all...
I agree about the tensorflow integration it seems to be important from
what
I hear.
Should we sign up somewhere for the working groups (gdcos)?
I would like to start helping with the model serving feature.
Best Regards,
Stavros
On Fri, Mar 17, 2017 at 10:34 PM, Gábor Hermann <m...@gaborhermann.com
wrote:
Hi Chen,
Thanks for the input! :)
There is already a project [1] for using TensorFlow models in Flink,
and
Theodore has suggested
to contact the author, Eron Wright for the model serving direction.
[1] http://sf.flink-forward.org/kb_sessions/introducing-flink-
tensorflow/
Cheers,
Gabor
On 2017-03-17 19:41, Chen Qin wrote:
[1]http://sf.flink-forward.org/kb_sessions/introducing-flink-te
nsorflow/
--
*Yours faithfully, *
*Kate Eri.*
