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From "Theodore Vasiloudis (JIRA)" <j...@apache.org>
Subject [jira] [Commented] (FLINK-2050) Add pipelining mechanism for chainable transformers and estimators
Date Thu, 21 May 2015 08:11:02 GMT

    [ https://issues.apache.org/jira/browse/FLINK-2050?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14553840#comment-14553840
] 

Theodore Vasiloudis commented on FLINK-2050:
--------------------------------------------

[~till.rohrmann]  I'm going through the code now, could you take a look at the documentation
when you get the chance?

> 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.



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