[ https://issues.apache.org/jira/browse/SPARK-6805?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Xiangrui Meng updated SPARK-6805: --------------------------------- Summary: MLlib + SparkR integration for 1.5 (was: ML Pipeline API in SparkR) > MLlib + SparkR integration for 1.5 > ---------------------------------- > > Key: SPARK-6805 > URL: https://issues.apache.org/jira/browse/SPARK-6805 > Project: Spark > Issue Type: Umbrella > Components: ML, SparkR > Reporter: Xiangrui Meng > Priority: Critical > > SparkR was merged. So let's have this umbrella JIRA for the ML pipeline API > in SparkR. The implementation should be similar to the pipeline API > implementation in Python. > For Spark 1.5, we want to support linear/logistic regression in SparkR, with > basic support for R formula and elastic-net regularization. The design doc > can be viewed at > https://docs.google.com/document/d/10NZNSEurN2EdWM31uFYsgayIPfCFHiuIu3pCWrUmP_c/edit?usp=sharing -- 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