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https://issues.apache.org/jira/browse/BEAM-14535?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=17549880#comment-17549880
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Danny McCormick commented on BEAM-14535:
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This issue has been migrated to https://github.com/apache/beam/issues/21452
> 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: 1.5h
> 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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