[jira] [Commented] (SPARK-2430) Standarized Clustering Algorithm API and Framework

["Yu Ishikawa (JIRA)" <ji...@apache.org>]

    [ https://issues.apache.org/jira/browse/SPARK-2430?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14122242#comment-14122242 ] 

Yu Ishikawa commented on SPARK-2430:
------------------------------------

Hi [~rnowling] ,

I am very interested in this issue.
If possible, I am willing to work with you.

I think MLlib's high-level API should be consistent like Scikit-learn.
You know, we can use the almost algorithms with  `fit` and `predict` function in Scikit-learn.
The consisntent API would be helpful for Spark user too.

> 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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