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Posted to issues@beam.apache.org by "Beam JIRA Bot (Jira)" <ji...@apache.org> on 2022/05/31 15:51:00 UTC

[jira] [Updated] (BEAM-14535) Add support for Pandas Dataframes to sklearn RunInference Implementation

     [ https://issues.apache.org/jira/browse/BEAM-14535?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Beam JIRA Bot updated BEAM-14535:
---------------------------------
    Status: Open  (was: Triage Needed)

> Add support for Pandas Dataframes to sklearn RunInference Implementation
> ------------------------------------------------------------------------
>
>                 Key: BEAM-14535
>                 URL: https://issues.apache.org/jira/browse/BEAM-14535
>             Project: Beam
>          Issue Type: Sub-task
>          Components: sdk-py-core
>            Reporter: Ryan Thompson
>            Assignee: Ryan Thompson
>            Priority: P2
>
> Sklearn pipelines are often set up to take pandas dataframes.
>  
> Our current implementation only supports numpy arrays.
>  
> This FR allows the sklearn implementation to autodetect pandas dataframes or numpy arrays and then combine them (via concat).
>  
> In the case of a pandas dataframe that value will be passed through to the pipeline.



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