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https://issues.apache.org/jira/browse/SPARK-2430?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14122273#comment-14122273
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RJ Nowling commented on SPARK-2430:
-----------------------------------
Hi Yu,
The community had suggested looking into scikit-learn's API so that is a good
idea.
I am hesitant to make backwards-incompatible API changes, however, until we
know the new API will be stable for a long time. I think it would be best to
implement a few more clustering algorithms to get a clear idea of what is
similar vs different before making a new API. May I suggest you work on
SPARK-2966 / SPARK-2429 first?
RJ
> Standarized Clustering Algorithm API and Framework
> --------------------------------------------------
>
> Key: SPARK-2430
> URL: https://issues.apache.org/jira/browse/SPARK-2430
> Project: Spark
> Issue Type: New Feature
> Components: MLlib
> Reporter: RJ Nowling
> Priority: Minor
>
> Recently, there has been a chorus of voices on the mailing lists about adding
> new clustering algorithms to MLlib. To support these additions, we should
> develop a common framework and API to reduce code duplication and keep the
> APIs consistent.
> At the same time, we can also expand the current API to incorporate requested
> features such as arbitrary distance metrics or pre-computed distance matrices.
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