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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