zhengruifeng opened a new pull request, #57674: URL: https://github.com/apache/spark/pull/57674
### What changes were proposed in this pull request? This follow-up to #57665 applies its parameter-aware size estimation to `TrainValidationSplitModel`. It excludes the `estimator`, `estimatorParamMaps`, and `evaluator` params from metadata sizing, then explicitly accounts for the best model, validation metrics, and collected submodels. A regression test confirms that logger-initialized estimator state is not counted. ### Why are the changes needed? TrainValidationSplitModel retains the same kinds of tuning params as CrossValidatorModel. Their params and values may retain shared runtime state, such as SparkSession, which must not contribute to Spark Connect ML model-cache accounting. ### Does this PR introduce _any_ user-facing change? No. ### How was this patch tested? Static checks: `git diff --check`, non-ASCII scan, and changed-Scala line-length scan. The targeted Scala suite was not run locally. ### Was this patch authored or co-authored using generative AI tooling? Generated-by: Codex GPT-5 -- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. To unsubscribe, e-mail: [email protected] For queries about this service, please contact Infrastructure at: [email protected] --------------------------------------------------------------------- To unsubscribe, e-mail: [email protected] For additional commands, e-mail: [email protected]
