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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 closed SPARK-6805.
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Resolution: Fixed
Fix Version/s: 1.5.0
I'm closing this issue now. Follow-up work will be tracked in SPARK-9647 for
1.6. Thanks [~ekhliang] for implementing the initial MLlib + SparkR integration
in 1.5!
> 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
> Assignee: Eric Liang
> Priority: Critical
> Fix For: 1.5.0
>
>
> --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.--
> We limited the scope of this JIRA to MLlib + SparkR integration for 1.5.
> 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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