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https://issues.apache.org/jira/browse/SPARK-45130?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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ASF GitHub Bot updated SPARK-45130:
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Labels: pull-request-available (was: )
> Avoid Spark connect ML model to change input pandas dataframe
> -------------------------------------------------------------
>
> Key: SPARK-45130
> URL: https://issues.apache.org/jira/browse/SPARK-45130
> Project: Spark
> Issue Type: Sub-task
> Components: Connect, ML, PySpark
> Affects Versions: 4.0.0
> Reporter: Weichen Xu
> Priority: Major
> Labels: pull-request-available
>
> Currently, to avoid data copy, Spark connect ML model directly changes input
> pandas dataframe for appending prediction columns. But we can use
> `pandas_df.copy(deep=False)` to shallow copy it and then append prediction
> columns in copied dataframe. This is easier for user to use it.
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