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https://issues.apache.org/jira/browse/SPARK-51118?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xinrong Meng updated SPARK-51118:
---------------------------------
    Description: 
 When enabling Arrow optimization for Python UDF, areas below error out with 
ValueError: 'tolist' is not in list.

- CrossValidator Fit 

The issue occurs in test_save_load_nested_estimator, when executing 
cv.fit(dataset). 

Full stacktrace see 
[https://github.com/xinrong-meng/spark/actions/runs/13167027085/job/36749584932]

- OneVsRestModel _transform

Full stacktrace see 
[https://github.com/xinrong-meng/spark/actions/runs/13188569330/job/36819938746]

- UnaryTransformer _transform

Now Arrow optimization is disabled in those places explicitly, but we should 
enable those in the near future.

  was:
The issue occurs in test_save_load_nested_estimator, when executing 
cv.fit(dataset). The error shows when enabling Arrow optimization for Python 
UDF: ValueError: 'tolist' is not in list.

Full stacktrace see 
[https://github.com/xinrong-meng/spark/actions/runs/13167027085/job/36749584932]

 


> Use Arrow python UDF for ml
> ---------------------------
>
>                 Key: SPARK-51118
>                 URL: https://issues.apache.org/jira/browse/SPARK-51118
>             Project: Spark
>          Issue Type: Sub-task
>          Components: ML, PySpark
>    Affects Versions: 4.0.0
>            Reporter: Xinrong Meng
>            Priority: Major
>
>  When enabling Arrow optimization for Python UDF, areas below error out with 
> ValueError: 'tolist' is not in list.
> - CrossValidator Fit 
> The issue occurs in test_save_load_nested_estimator, when executing 
> cv.fit(dataset). 
> Full stacktrace see 
> [https://github.com/xinrong-meng/spark/actions/runs/13167027085/job/36749584932]
> - OneVsRestModel _transform
> Full stacktrace see 
> [https://github.com/xinrong-meng/spark/actions/runs/13188569330/job/36819938746]
> - UnaryTransformer _transform
> Now Arrow optimization is disabled in those places explicitly, but we should 
> enable those in the near future.



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