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https://issues.apache.org/jira/browse/SPARK-6805?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xiangrui Meng updated SPARK-6805:
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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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