Hequn Cheng created FLINK-16187:
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Summary: Support Python ML Pipeline API
Key: FLINK-16187
URL: https://issues.apache.org/jira/browse/FLINK-16187
Project: Flink
Issue Type: New Feature
Components: API / Python
Reporter: Hequn Cheng
Assignee: Hequn Cheng
This is the umbrella Jira for FLIP96, which intends to support Python ML
Pipeline API.
FLIP wiki page:
[https://cwiki.apache.org/confluence/display/FLINK/FLIP-96%3A+Support+Python+ML+Pipeline+API]
FLIP-39 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. In this FLIP we propose to:
* 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.
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