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https://issues.apache.org/jira/browse/BEAM-14535?focusedWorklogId=777050&page=com.atlassian.jira.plugin.system.issuetabpanels:worklog-tabpanel#worklog-777050
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ASF GitHub Bot logged work on BEAM-14535:
-----------------------------------------

                Author: ASF GitHub Bot
            Created on: 01/Jun/22 17:40
            Start Date: 01/Jun/22 17:40
    Worklog Time Spent: 10m 
      Work Description: codecov[bot] commented on PR #17800:
URL: https://github.com/apache/beam/pull/17800#issuecomment-1143940303

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 (ca33943) will **increase** coverage by `0.00%`.
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   ```diff
   @@           Coverage Diff           @@
   ##           master   #17800   +/-   ##
   =======================================
     Coverage   74.00%   74.01%           
   =======================================
     Files         695      695           
     Lines       91898    91915   +17     
   =======================================
   + Hits        68013    68027   +14     
   - Misses      22639    22642    +3     
     Partials     1246     1246           
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Issue Time Tracking
-------------------

    Worklog Id:     (was: 777050)
    Time Spent: 1h 10m  (was: 1h)

> 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
>          Time Spent: 1h 10m
>  Remaining Estimate: 0h
>
> 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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