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https://issues.apache.org/jira/browse/SPARK-7610?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Hyukjin Kwon resolved SPARK-7610.
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Resolution: Incomplete
> 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
> Priority: Major
> Labels: bulk-closed
>
> 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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