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Posted to issues@spark.apache.org by "Joseph K. Bradley (JIRA)" <ji...@apache.org> on 2015/05/13 20:51:00 UTC

[jira] [Created] (SPARK-7610) Design clustering abstractions for Pipelines API

Joseph K. Bradley created SPARK-7610:
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             Summary: Design clustering abstractions for Pipelines API
                 Key: SPARK-7610
                 URL: https://issues.apache.org/jira/browse/SPARK-7610
             Project: Spark
          Issue Type: Brainstorming
          Components: ML
            Reporter: Joseph K. Bradley


We will soon start adding clustering algorithms to the Pipelines API.  We should discuss what abstractions we should define for clustering algorithms:
* Are there standard APIs for clustering?
* What clustering algorithms might not fit in the normal APIs?  
* How can the APIs benefit (a) users and (b) developers?

W.r.t. benefitting users and developers, I'm envisioning:
* traits for users
** These should help standardize the API, but we'll have to plan ahead carefully.
* abstract classes with some boilerplate code pre-implemented for developers (similar to the current Prediction developer APIs)
** These will be available if helpful, but developers should not need to use them.



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