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https://issues.apache.org/jira/browse/SPARK-61324?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Hyukjin Kwon updated SPARK-61324:
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Fix Version/s: connect-rust-4.3.0
> Native Connect ML VectorAssembler, Pipeline and BinaryClassificationEvaluator
> send params the server rejects
> ------------------------------------------------------------------------------------------------------------
>
> Key: SPARK-61324
> URL: https://issues.apache.org/jira/browse/SPARK-61324
> Project: Spark
> Issue Type: Bug
> Components: Connect
> Affects Versions: connect-rust-4.3.0
> Reporter: Hyukjin Kwon
> Priority: Major
> Fix For: connect-rust-4.3.0
>
>
> The native VectorAssembler and Pipeline send inputCols and stages as Rust
> Debug text, not as an array of strings, so every transform fails with
> "Argument is not an array". The native BinaryClassificationEvaluator sends
> its score column as scoreCol, which the JVM evaluator does not have, so
> "Param scoreCol does not exist". Official PySpark 4.3.0 sends a list as an
> array literal and scores rawPredictionCol: VectorAssembler(inputCols=["x",
> "y"]) gives [[1.0, 2.0], [4.0, 5.0]] and the AUC of the scores is 0.75.
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