zhengruifeng opened a new pull request, #58100:
URL: https://github.com/apache/spark/pull/58100
### What changes were proposed in this pull request?
This PR optimizes `GeneralizedLinearRegressionModel.transform` by
snapshotting the prediction
state before creating transform UDFs. The UDFs now capture only the required
coefficients,
intercept, and `FamilyAndLink` instead of the full model.
The public prediction methods continue to use the same prediction logic
through companion helper
methods.
### Why are the changes needed?
Avoiding the model capture reduces transform-closure retained memory, which
is useful for Spark
Connect server workloads and follows the closure-size optimizations tracked
under SPARK-58584.
### Does this PR introduce _any_ user-facing change?
No.
### How was this patch tested?
Ran local static checks:
```
git diff --check
grep -rn -P "[^\x00-\x7F]"
mllib/src/main/scala/org/apache/spark/ml/regression/GeneralizedLinearRegression.scala
awk 'length>100 && $0 !~ /^[[:space:]]*(import|package) / && $0 !~
/https?:\/\// {print FILENAME":"FNR": "length" chars"}'
mllib/src/main/scala/org/apache/spark/ml/regression/GeneralizedLinearRegression.scala
```
No unit test was added because this is an internal refactor of existing
prediction logic.
### Was this patch authored or co-authored using generative AI tooling?
Generated-by: Codex (GPT-5)
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