[ https://issues.apache.org/jira/browse/FLINK-2050?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Till Rohrmann closed FLINK-2050. -------------------------------- Resolution: Fixed Added via fde0341fe16c7258e42f77e289a557157995830c > 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)