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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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Description:
~~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
was:
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
> 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
>
> ~~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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