GitHub user tovbinm opened a pull request: https://github.com/apache/spark/pull/20321
[SPARK-23152][ML] - Correctly guard against empty datasets ## What changes were proposed in this pull request? Correctly guard against empty datasets in `org.apache.spark.ml.classification.Classifier` ## How was this patch tested? existing tests You can merge this pull request into a Git repository by running: $ git pull https://github.com/relateiq/spark SPARK-23152 Alternatively you can review and apply these changes as the patch at: https://github.com/apache/spark/pull/20321.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 #20321 ---- commit bf0efe12a0a2aa648e3d82b225e05ea9176cd558 Author: Matthew Tovbin <mtovbin@...> Date: 2018-01-18T20:42:37Z Correctly guard against empty datasets ---- --- --------------------------------------------------------------------- To unsubscribe, e-mail: reviews-unsubscr...@spark.apache.org For additional commands, e-mail: reviews-h...@spark.apache.org