Hi all, Thanks a lot for your valuable feedback! As it seems we have reached a consensus on the discussion now. I have started a VOTE thread[1]. Looking forward to your vote.
Best, Hequn [1] http://apache-flink-mailing-list-archive.1008284.n3.nabble.com/VOTE-Support-Python-ML-Pipeline-API-td37637.html On Thu, Feb 13, 2020 at 10:40 AM Becket Qin <becket....@gmail.com> wrote: > +1. I'd say this is almost a must-have for machine learning. > > Thanks, > > Jiangjie (Becket) Qin > > On Thu, Feb 13, 2020 at 10:03 AM Rong Rong <walter...@gmail.com> wrote: > >> Thanks for driving this initiative @Hequn Cheng <he...@apache.org>. >> >> Moving towards python based ML is definitely a huge win consider how large >> the python-ML community is. a big +1 on my side! >> Regarding the doc, I only left a few comments on the specific APIs. >> overall >> the architecture looks very good! >> >> Looking forward to it! >> -- >> Rong >> >> On Sun, Feb 9, 2020 at 10:28 PM Hequn Cheng <he...@apache.org> wrote: >> >> > Hi everyone, >> > >> > Thanks a lot for your feedback. I have created the FLIP[1]. >> > >> > Best, >> > Hequn >> > >> > [1] >> > >> > >> https://cwiki.apache.org/confluence/display/FLINK/FLIP+96%3A+Support+Python+ML+Pipeline+API >> > >> > On Mon, Feb 10, 2020 at 12:29 PM Dian Fu <dian0511...@gmail.com> wrote: >> > >> > > Hi Hequn, >> > > >> > > Thanks for bringing up the discussion. +1 to this feature. The design >> > LGTM. >> > > It's great that the Python ML users could use both the Java Pipeline >> > > Transformer/Estimator/Model classes and the Python >> > > Pipeline Transformer/Estimator/Model in the same job. >> > > >> > > Regards, >> > > Dian >> > > >> > > On Mon, Feb 10, 2020 at 11:08 AM jincheng sun < >> sunjincheng...@gmail.com> >> > > wrote: >> > > >> > > > Hi Hequn, >> > > > >> > > > Thanks for bring up this discussion. >> > > > >> > > > +1 for add Python ML Pipeline API, even though the Java pipeline API >> > may >> > > > change. >> > > > >> > > > I would like to suggest create a FLIP for this API changes. :) >> > > > >> > > > Best, >> > > > Jincheng >> > > > >> > > > >> > > > Hequn Cheng <he...@apache.org> 于2020年2月5日周三 下午5:24写道： >> > > > >> > > > > Hi everyone, >> > > > > >> > > > > FLIP-39[1] rebuilds the Flink ML pipeline on top of TableAPI and >> > > > introduces >> > > > > a new set of Java APIs. As Python is widely used in ML areas, >> > providing >> > > > > Python ML Pipeline APIs for Flink can not only make it easier to >> > write >> > > ML >> > > > > jobs for Python users but also broaden the adoption of Flink ML. >> > > > > >> > > > > Given this, Jincheng and I discussed offline about the support of >> > > Python >> > > > ML >> > > > > Pipeline API and drafted a design doc[2]. We'd like to achieve >> three >> > > > goals >> > > > > for supporting Python Pipeline API: >> > > > > - Add Python pipeline API according to Java pipeline API(we will >> > adapt >> > > > the >> > > > > Python pipeline API if Java pipeline API changes). >> > > > > - Support native Python Transformer/Estimator/Model, i.e., users >> can >> > > > write >> > > > > not only Python Transformer/Estimator/Model wrappers for calling >> Java >> > > > ones >> > > > > but also can write native Python Transformer/Estimator/Models. >> > > > > - Ease of use. Support keyword arguments when defining parameters. >> > > > > >> > > > > More details can be found in the design doc and we are looking >> > forward >> > > to >> > > > > your feedback. >> > > > > >> > > > > Best, >> > > > > Hequn >> > > > > >> > > > > [1] >> > > > > >> > > > > >> > > > >> > > >> > >> https://cwiki.apache.org/confluence/display/FLINK/FLIP-39+Flink+ML+pipeline+and+ML+libs >> > > > > [2] >> > > > > >> > > > > >> > > > >> > > >> > >> https://docs.google.com/document/d/1fwSO5sRNWMoYuvNgfQJUV6N2n2q5UEVA4sezCljKcVQ/edit?usp=sharing >> > > > > >> > > > >> > > >> > >> >
