GitHub user liwzhi opened a pull request: https://github.com/apache/spark/pull/14325
[SPARK-16692] [ML] Add multi label classification evaluator, DataFrame Add the multi label classification evaluator to DataFrame, ML Also add the multilabelClassifcationSuite.scala unite test. A multilabel classification problem involves mapping each sample in a dataset to a set of class labels. In this type of classification problem, the labels are not mutually exclusive. For example, when classifying a set of news articles into topics, a single article might be both science and politics. You can merge this pull request into a Git repository by running: $ git pull https://github.com/liwzhi/spark multiLablesEvaluate Alternatively you can review and apply these changes as the patch at: https://github.com/apache/spark/pull/14325.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 #14325 ---- commit 5efc2c7b1e6566896f1c99b9a8e2ae3603b6abc5 Author: Weizhi Li <weizhi...@ussuning.com> Date: 2016-07-23T05:43:22Z Add multilevel class-action evaluator to ML ---- --- 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