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https://issues.apache.org/jira/browse/SPARK-14324?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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Xiangrui Meng resolved SPARK-14324.
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Resolution: Fixed
Fix Version/s: 2.0.0
> Refactor GLMs code in SparkRWrappers
> ------------------------------------
>
> Key: SPARK-14324
> URL: https://issues.apache.org/jira/browse/SPARK-14324
> Project: Spark
> Issue Type: Improvement
> Components: ML, SparkR
> Reporter: Xiangrui Meng
> Assignee: Yanbo Liang
> Fix For: 2.0.0
>
>
> We use a single object `SparkRWrappers`
> (https://github.com/apache/spark/blob/master/mllib/src/main/scala/org/apache/spark/ml/r/SparkRWrappers.scala)
> to wrap method calls to glm and kmeans in SparkR. This is quite hard to
> maintain. We should refactor them into separate wrappers, like
> `AFTSurvivalRegressionWrapper` and `NaiveBayesWrapper`.
> The package name should be `spakr.ml.r` instead of `spark.ml.api.r`.
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