GitHub user yanboliang opened a pull request: https://github.com/apache/spark/pull/16646
[SPARK-19291][SPARKR][ML] spark.gaussianMixture supports output log-likelihood. ## What changes were proposed in this pull request? ```spark.gaussianMixture``` supports output total log-likelihood for the model like R ```mvnormalmixEM```. ## How was this patch tested? R unit test. You can merge this pull request into a Git repository by running: $ git pull https://github.com/yanboliang/spark spark-19291 Alternatively you can review and apply these changes as the patch at: https://github.com/apache/spark/pull/16646.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 #16646 ---- commit a2aa6ce0c25d1ca0e8f42e52459a62c7c09c9a46 Author: Yanbo Liang <yblia...@gmail.com> Date: 2017-01-19T14:43:27Z spark.gaussianMixture supports output log-likelihood. ---- --- 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