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https://issues.apache.org/jira/browse/SPARK-10785?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14990930#comment-14990930
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Joseph K. Bradley commented on SPARK-10785:
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Yes, we should sample still.
Extensions to multiple input columns is a different issue, and we can do that
later if needed.
Other than that, this should be analogous to the tree work.
> Scale QuantileDiscretizer using distributed binning
> ---------------------------------------------------
>
> Key: SPARK-10785
> URL: https://issues.apache.org/jira/browse/SPARK-10785
> Project: Spark
> Issue Type: Improvement
> Components: ML
> Reporter: Joseph K. Bradley
>
> [SPARK-10064] improves binning in decision trees by distributing the
> computation. QuantileDiscretizer should do the same.
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