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  1. Spark
  2. SPARK-16442

MLlib wrappers for SparkR 2.1

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    Details

    • Type: Umbrella
    • Status: Resolved
    • Priority: Major
    • Resolution: Fixed
    • Affects Version/s: None
    • Fix Version/s: 2.1.0
    • Component/s: MLlib, SparkR
    • Labels:
      None
    • Target Version/s:

      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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            • Assignee:
              mengxr Xiangrui Meng
              Reporter:
              mengxr Xiangrui Meng
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                Updated:
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