zhengruifeng opened a new pull request, #58461:
URL: https://github.com/apache/spark/pull/58461

   ### What changes were proposed in this pull request?
   
   Replace the BLAS dot products in `GBTClassificationModel.margin` and
   `GBTRegressionModel.predict` with indexed `while` loops that accumulate each 
tree prediction and
   weight directly. Remove the now-unused BLAS imports.
   
   ### Why are the changes needed?
   
   The BLAS calls first allocate an array containing every tree prediction and 
then invoke native BLAS
   for a small dot product on every model prediction. Direct accumulation 
avoids the temporary array
   and native-call overhead, reducing prediction overhead and Spark Connect 
server pressure.
   
   ### Does this PR introduce _any_ user-facing change?
   
   No.
   
   ### How was this patch tested?
   
   The existing GBT classifier and regressor suites passed:
   
   ```
   build/sbt 'mllib/testOnly 
org.apache.spark.ml.classification.GBTClassifierSuite'
   build/sbt 'mllib/testOnly org.apache.spark.ml.regression.GBTRegressorSuite'
   ```
   
   ### Was this patch authored or co-authored using generative AI tooling?
   
   Generated-by: OpenAI Codex (GPT-5)
   


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