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From "Xiangrui Meng (JIRA)" <j...@apache.org>
Subject [jira] [Created] (SPARK-14324) Refactor SparkRWrappers
Date Fri, 01 Apr 2016 06:51:25 GMT
Xiangrui Meng created SPARK-14324:
-------------------------------------

             Summary: Refactor 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


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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