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Re: [DISCUSS] Embracing Table API in Flink ML

Hi Weihua,
Thanks for bring up this discuss!

I quickly read the google doc,and I fully agree that ML can be well
supported on  TableAPI (at some stage in the future).
In fact, Xiaowei and I have already brought up a discussion on enhancing
the Table API. In the first phase, we will add support for
map/flatmap/agg/flatagg in TableAPI.
So I am very happy to be involved in this discussion and will leave a
comment in the good doc later.

I think It's grateful if you can add a phased implementation plan in google
doc. What to do you think?


Weihua Jiang <weihua.jiang@xxxxxxxxx> 于2018年11月20日周二 下午8:53写道:

> ML Pipeline is the idea brought by Scikit-learn
> <https://arxiv.org/abs/1309.0238>. Both Spark and Flink has borrowed this
> idea and made their own implementations [Spark ML Pipeline
> <https://spark.apache.org/docs/latest/ml-pipeline.html>, Flink ML Pipeline
> <
> https://ci.apache.org/projects/flink/flink-docs-release-1.6/dev/libs/ml/pipelines.html
> >].
> NOTE: though I am using the term "ML", ML Pipeline shall apply to both ML
> and DL pipelines.
> ML Pipeline is quite helpful for model composition (i.e. using model(s) for
> feature engineering) . And it enables logic reuse in train and inference
> phases (via pipeline persistence and load), which is essential for AI
> engineering. ML Pipeline can also be a good base for Flink based AI
> engineering platform if we can make ML Pipeline have good tooling support
> (i.e. meta data human readable).
> As the Table API will be the unified high level API for both stream and
> batch processing, I want to initiate the design discussion of new Table
> based Flink ML Pipeline.
> I drafted a design document [1] for this discussion. This design tries to
> create a new ML Pipeline implementation so that concrete ML/DL algorithms
> can fit to this new API to achieve interoperability.
> Any feedback is highly appreciated.
> Thanks
> Weihua
> [1]
> https://docs.google.com/document/d/1PLddLEMP_wn4xHwi6069f3vZL7LzkaP0MN9nAB63X90/edit?usp=sharing