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https://issues.apache.org/jira/browse/SPARK-11560?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14997103#comment-14997103
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Joseph K. Bradley commented on SPARK-11560:
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Do we want to keep the implementation for the Pipelines API? We had worked on
stacking models for linear methods (to do many runs at once) to amortize
overhead, and this is the same kind of effort. It should be helpful in some
problem domains. Has there been evidence that it's rarely useful?
> Optimize KMeans implementation
> ------------------------------
>
> Key: SPARK-11560
> URL: https://issues.apache.org/jira/browse/SPARK-11560
> Project: Spark
> Issue Type: Improvement
> Components: MLlib
> Affects Versions: 1.7.0
> Reporter: Xiangrui Meng
>
> After we dropped `runs`, we can simplify and optimize the k-means
> implementation.
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