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Posted to dev@flink.apache.org by "Till Rohrmann (JIRA)" <ji...@apache.org> on 2015/05/19 17:17:59 UTC

[jira] [Created] (FLINK-2050) Add pipelining mechanism for chainable transformers and estimators

Till Rohrmann created FLINK-2050:
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             Summary: 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
             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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