[jira] [Updated] (SPARK-14303) Refactor k-means code in SparkRWrappers

["Xiangrui Meng (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/SPARK-14303?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Xiangrui Meng updated SPARK-14303:
----------------------------------
    Summary: Refactor k-means code in SparkRWrappers  (was: Refactor SparkRWrappers)

> Refactor k-means code in SparkRWrappers
> ---------------------------------------
>
>                 Key: SPARK-14303
>                 URL: https://issues.apache.org/jira/browse/SPARK-14303
>             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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