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Posted to issues@spark.apache.org by "Xiangrui Meng (JIRA)" <ji...@apache.org> on 2015/07/30 21:07:05 UTC

[jira] [Updated] (SPARK-6805) MLlib + SparkR integration for 1.5

     [ 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



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