[
https://issues.apache.org/jira/browse/SPARK-29967?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16982021#comment-16982021
]
Huaxin Gao commented on SPARK-29967:
------------------------------------
I will work on this.
> 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
--
This message was sent by Atlassian Jira
(v8.3.4#803005)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org
For additional commands, e-mail: issues-h...@spark.apache.org
