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ASF GitHub Bot commented on FLINK-2050: --------------------------------------- Github user rmetzger commented on the pull request: https://github.com/apache/flink/pull/704#issuecomment-104186229 Documentation :white_check_mark: Scaladocs :white_check_mark: Tests :white_check_mark: No code outside of flink-ml touched :white_check_mark: :ship: it > Add pipelining mechanism for chainable transformers and estimators > ------------------------------------------------------------------ > > Key: FLINK-2050 > URL: https://issues.apache.org/jira/browse/FLINK-2050 > Project: Flink > Issue Type: Improvement > Components: Machine Learning Library > Reporter: Till Rohrmann > Assignee: Till Rohrmann > Labels: ML > Fix For: 0.9 > > > The key concept of an easy to use ML library is the quick and simple > construction of data analysis pipelines. Scikit-learn's approach to define > transformers and estimators seems to be a really good solution to this > problem. I propose to follow a similar path, because it makes FlinkML > flexible in terms of code reuse as well as easy for people coming from > Scikit-learn to use the FlinkML. -- This message was sent by Atlassian JIRA (v6.3.4#6332)