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https://issues.apache.org/jira/browse/BEAM-12181?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17475868#comment-17475868
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Svetak Vihaan Sundhar commented on BEAM-12181:
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This is the specific paper referenced in our discussion today:
[https://link.springer.com/chapter/10.1007/978-3-540-72588-6_120]
IIUC, we can calculate the KDE for partitions of our dataset then combine all
the kernel estimator values.
> Implement parallelized (approximate) mode
> -----------------------------------------
>
> Key: BEAM-12181
> URL: https://issues.apache.org/jira/browse/BEAM-12181
> Project: Beam
> Issue Type: Improvement
> Components: dsl-dataframe, sdk-py-core
> Reporter: Brian Hulette
> Assignee: Svetak Vihaan Sundhar
> Priority: P3
> Labels: dataframe-api
>
> Currently we require Singleton partitioning to compute mode(). We should
> provide an option to compute approximate mode() which can be parallelized.
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