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https://issues.apache.org/jira/browse/SPARK-61238?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Hyukjin Kwon reassigned SPARK-61238:
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Assignee: Hyukjin Kwon
> Fitted pyspark.ml.connect scalers and indexers fail on transform, and the ML
> cache queries are missing
> ------------------------------------------------------------------------------------------------------
>
> Key: SPARK-61238
> URL: https://issues.apache.org/jira/browse/SPARK-61238
> Project: Spark
> Issue Type: Bug
> Components: Connect
> Affects Versions: connect-rust-4.3.0
> Reporter: Hyukjin Kwon
> Assignee: Hyukjin Kwon
> Priority: Major
> Labels: pull-request-available
> Fix For: connect-rust-4.3.0
>
>
> pyspark.ml.connect StandardScaler, MaxAbsScaler and StringIndexer fit
> locally, so their transform sends a transformer of type MODEL, which the
> server rejects: `StandardScaler(inputCol="v",
> outputCol="o").fit(df).transform(df)` raises java.lang.AssertionError in
> MLHandler._transformMLRelation. The fit now runs on the server and the
> transform refers to the cached model, as PySpark does. The client also lacks
> _get_ml_cache_info and _query_model_size, which the official ml/tests/connect
> cache and model offloading tests call.
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