[jira] [Resolved] (SPARK-29967) KMeans support instance weighting

["Sean R. Owen (Jira)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-29967?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Sean R. Owen resolved SPARK-29967.
----------------------------------
    Fix Version/s: 3.0.0
       Resolution: Fixed

Issue resolved by pull request 26739
[https://github.com/apache/spark/pull/26739]

> KMeans support instance weighting
> ---------------------------------
>
>                 Key: SPARK-29967
>                 URL: https://issues.apache.org/jira/browse/SPARK-29967
>             Project: Spark
>          Issue Type: Improvement
>          Components: ML, PySpark
>    Affects Versions: 3.0.0
>            Reporter: zhengruifeng
>            Assignee: Huaxin Gao
>            Priority: Major
>             Fix For: 3.0.0
>
>
> Since https://issues.apache.org/jira/browse/SPARK-9610, we start to support instance weighting in ML.
> However, Clustering and other impl in features still do not support instance weighting.
> I think we need to start support weighting in KMeans, like what scikit-learn does.
> It will contains three parts:
> 1, move the impl from .mllib to .ml
> 2, make .mllib.KMeans as a wrapper of .ml.KMeans
> 3, support instance weighting in the .ml.KMeans



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