[ https://issues.apache.org/jira/browse/SPARK-4891?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Xiangrui Meng resolved SPARK-4891. ---------------------------------- Resolution: Fixed Fix Version/s: 1.3.0 Issue resolved by pull request 3955 [https://github.com/apache/spark/pull/3955] > Add exponential, log normal, and gamma distributions to data generator to > PySpark's MLlib > ----------------------------------------------------------------------------------------- > > Key: SPARK-4891 > URL: https://issues.apache.org/jira/browse/SPARK-4891 > Project: Spark > Issue Type: New Feature > Components: PySpark > Affects Versions: 1.1.1 > Reporter: RJ Nowling > Assignee: RJ Nowling > Priority: Minor > Fix For: 1.3.0 > > > [SPARK-4728] adds sampling from exponential, gamma, and log normal > distributions to the Scala/Java MLlib APIs. We need to add these functions > to the PySpark MLlib API for parity. -- This message was sent by Atlassian JIRA (v6.3.4#6332) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org