[GitHub] [spark] WeichenXu123 commented on pull request #37734: [SPARK-40264][ML] add batch_infer_udf function to pyspark.ml.functions

2023-01-16 Thread GitBox


WeichenXu123 commented on PR #37734:
URL: https://github.com/apache/spark/pull/37734#issuecomment-1384095881

   Merged to apache/spark master. 


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[GitHub] [spark] WeichenXu123 commented on pull request #37734: [SPARK-40264][ML] add batch_infer_udf function to pyspark.ml.functions

2022-12-04 Thread GitBox


WeichenXu123 commented on PR #37734:
URL: https://github.com/apache/spark/pull/37734#issuecomment-1336407074

   @leewyang Does `df.limit(10).cache().withColumn` address the issue ?
   
   @HyukjinKwon Looks like 
https://github.com/apache/spark/pull/37734#issuecomment-1315678614 is a 
regression, does spark optimizer changed ?
   
   @mengxr Could you make a final review ?


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[GitHub] [spark] WeichenXu123 commented on pull request #37734: [SPARK-40264][ML] add batch_infer_udf function to pyspark.ml.functions

2022-11-11 Thread GitBox


WeichenXu123 commented on PR #37734:
URL: https://github.com/apache/spark/pull/37734#issuecomment-1311877149

   @mengxr Could you make a final pass ? The PR is LGTM once all my comments 
addressed.


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[GitHub] [spark] WeichenXu123 commented on pull request #37734: [SPARK-40264][ML] add batch_infer_udf function to pyspark.ml.functions

2022-11-07 Thread GitBox


WeichenXu123 commented on PR #37734:
URL: https://github.com/apache/spark/pull/37734#issuecomment-1306665478

   Some more comments, mainly about doc and adding more data checking. PR is 
near ready!


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[GitHub] [spark] WeichenXu123 commented on pull request #37734: [SPARK-40264][ML] add batch_infer_udf function to pyspark.ml.functions

2022-11-07 Thread GitBox


WeichenXu123 commented on PR #37734:
URL: https://github.com/apache/spark/pull/37734#issuecomment-1306594350

   > > Pls also fix the linter failure: 
https://github.com/leewyang/spark/actions/runs/3397174449/jobs/5649073867#step:16:71
   > 
   > Updated to latest master, which got rid of the linter error, but it added 
a new "appveyor" check, which seems to be failing in some SparkR tests. Not 
sure what to do with that one.
   
   The Ci failure has been fixed by 
https://github.com/apache/spark/commit/9cd55052ccefc1421d30bfc751e2a013973d3ac6
   
   You can merge master to address the CI failure @leewyang 


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[GitHub] [spark] WeichenXu123 commented on pull request #37734: [SPARK-40264][ML] add batch_infer_udf function to pyspark.ml.functions

2022-11-07 Thread GitBox


WeichenXu123 commented on PR #37734:
URL: https://github.com/apache/spark/pull/37734#issuecomment-1305628531

   Pls also fix the linter failure: 
https://github.com/leewyang/spark/actions/runs/3397174449/jobs/5649073867#step:16:71


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[GitHub] [spark] WeichenXu123 commented on pull request #37734: [SPARK-40264][ML] add batch_infer_udf function to pyspark.ml.functions

2022-09-01 Thread GitBox


WeichenXu123 commented on PR #37734:
URL: https://github.com/apache/spark/pull/37734#issuecomment-1234139636

   But I think we'd better design and discuss the API first. @mengxr Do you 
have any suggestions ?


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