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https://issues.apache.org/jira/browse/FLINK-2050?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Till Rohrmann closed FLINK-2050.
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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.
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