[ https://issues.apache.org/jira/browse/SPARK-9647?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Xiangrui Meng resolved SPARK-9647. ---------------------------------- Resolution: Fixed Fix Version/s: 1.6.0 Marked this umbrella as done. We will track follow-up work in a separate JIRA. > MLlib + SparkR integration for 1.6 > ---------------------------------- > > Key: SPARK-9647 > URL: https://issues.apache.org/jira/browse/SPARK-9647 > Project: Spark > Issue Type: Umbrella > Components: ML, SparkR > Reporter: Xiangrui Meng > Assignee: Xiangrui Meng > Priority: Critical > Fix For: 1.6.0 > > > This is an umbrella JIRA for MLlib + SparkR integration for Spark 1.6, > continuing the work from SPARK-6805. Some suggested features: > 1. model coefficients for logistic regression > 2. support feature interactions in RFormula > 3. summary statistics -> implemented for linear regression > 4. more error families -> 1.7 -- 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