GitHub user yanboliang opened a pull request: https://github.com/apache/spark/pull/14519
[SPARK-16933] [ML] Fix AFTAggregator in AFTSurvivalRegression serializes unnecessary data. ## What changes were proposed in this pull request? Similar to ```LeastSquaresAggregator``` in #14109, ```AFTAggregator``` used for ```AFTSurvivalRegression``` ends up serializing the ```parameters``` and ```featuresStd```, which is not necessary and can cause performance issues for high dimensional data. This patch removes this serialization. This PR is highly inspired by #14109. ## How was this patch tested? Existing tests. You can merge this pull request into a Git repository by running: $ git pull https://github.com/yanboliang/spark spark-16933 Alternatively you can review and apply these changes as the patch at: https://github.com/apache/spark/pull/14519.patch To close this pull request, make a commit to your master/trunk branch with (at least) the following in the commit message: This closes #14519 ---- commit d152a3a32ec08743b026ab5bd632b22909c6aa3f Author: Yanbo Liang <yblia...@gmail.com> Date: 2016-08-06T13:37:37Z Fix AFTAggregator in AFTSurvivalRegression serializes unnecessary data. ---- --- If your project is set up for it, you can reply to this email and have your reply appear on GitHub as well. If your project does not have this feature enabled and wishes so, or if the feature is enabled but not working, please contact infrastructure at infrastruct...@apache.org or file a JIRA ticket with INFRA. --- --------------------------------------------------------------------- To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org