GitHub user zhengruifeng opened a pull request: https://github.com/apache/spark/pull/15372
[SPARK-17797] LabelCol support non-double datatypes ## What changes were proposed in this pull request? 1, modify `Classifier.getNumClasses` to support all numeric datatypes 2, modify `MLTestingUtils` to run estimator's `fit` without precomputed `numClasses` ## How was this patch tested? unit tests, manual tests You can merge this pull request into a Git repository by running: $ git pull https://github.com/zhengruifeng/spark labelCol_support_numeric Alternatively you can review and apply these changes as the patch at: https://github.com/apache/spark/pull/15372.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 #15372 ---- commit fd86031710cb2538d8ab0c3900aacb702d49ba09 Author: Zheng RuiFeng <ruife...@foxmail.com> Date: 2016-10-06T03:50:54Z create pr ---- --- 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