Hi Hequn, Given this is an addition to the public API, we probably should follow the FLIP process. It would be a quick one though, I think.
Thanks, Jiangjie (Becket) Qin On Fri, Feb 14, 2020 at 10:03 AM Hequn Cheng <he...@apache.org> wrote: > 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 >>> > > > > >>> > > > >>> > > >>> > >>> >>
