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Posted to issues@beam.apache.org by "Svetak Vihaan Sundhar (Jira)" <ji...@apache.org> on 2022/01/05 19:19:00 UTC

[jira] [Commented] (BEAM-12181) Implement parallelized (approximate) mode

    [ https://issues.apache.org/jira/browse/BEAM-12181?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17469500#comment-17469500 ] 

Svetak Vihaan Sundhar commented on BEAM-12181:
----------------------------------------------

See

 

[https://colab.sandbox.google.com/drive/1PZFbi_F_JbhvgC4fzwerEUeklgatlI7w#scrollTo=96cZXu-nmLHZ]

 

Want to confirm that this is the right path, as this only computes approximate mode for continuous distributions.

> 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
>            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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