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https://issues.apache.org/jira/browse/SPARK-29967?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16978897#comment-16978897
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zhengruifeng commented on SPARK-29967:
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[~srowen] Hi, Owen how would you think of this ticket? If you feel OK, I
guess we can working on making existing clustering algoritms support weight
sample.
> 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
> Priority: Major
>
> 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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