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  1. Spark
  2. SPARK-16442

MLlib wrappers for SparkR 2.1

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    • Umbrella
    • Status: Resolved
    • Major
    • Resolution: Fixed
    • None
    • 2.1.0
    • MLlib, SparkR
    • None

    Description

      This is an umbrella JIRA to track MLlib wrappers in SparkR for the release 2.1. The wrappers should follow existing implementations such as `spark.glm`, `spark.kmeans`, `spark.naiveBayes`, etc. And the APIs should follow SPARK-14831:

      spark.algo(data, formula, required params, [optional params])
      summary(object)
      predict(object, newData)
      write.ml(object, path, ...)
      

      Implementation should also update `read.ml` to load the saved models back. Documentation should follow SPARK-16090 and group the methods above into a single Rd.

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            mengxr Xiangrui Meng
            mengxr Xiangrui Meng
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              Updated:
              Resolved: