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Posted to issues@spark.apache.org by "Hyukjin Kwon (JIRA)" <ji...@apache.org> on 2019/05/21 04:23:14 UTC

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

     [ https://issues.apache.org/jira/browse/SPARK-7610?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Hyukjin Kwon updated SPARK-7610:
--------------------------------
    Labels: bulk-closed  (was: )

> 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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