Details

    • Type: Umbrella
    • Status: Closed
    • Priority: Critical
    • Resolution: Fixed
    • Affects Version/s: None
    • Fix Version/s: 1.5.0
    • Component/s: ML, SparkR
    • Labels:
      None
    • Target Version/s:

      Description

      -SparkR was merged. So let's have this umbrella JIRA for the ML pipeline API in SparkR. The implementation should be similar to the pipeline API implementation in Python.-

      We limited the scope of this JIRA to MLlib + SparkR integration for 1.5.

      For Spark 1.5, we want to support linear/logistic regression in SparkR, with basic support for R formula and elastic-net regularization. The design doc can be viewed at https://docs.google.com/document/d/10NZNSEurN2EdWM31uFYsgayIPfCFHiuIu3pCWrUmP_c/edit?usp=sharing

        Issue Links

          Activity

          Hide
          apachespark Apache Spark added a comment -

          User 'ericl' has created a pull request for this issue:
          https://github.com/apache/spark/pull/7483

          Show
          apachespark Apache Spark added a comment - User 'ericl' has created a pull request for this issue: https://github.com/apache/spark/pull/7483
          Hide
          mengxr Xiangrui Meng added a comment -

          I'm closing this issue now. Follow-up work will be tracked in SPARK-9647 for 1.6. Thanks Eric Liang for implementing the initial MLlib + SparkR integration in 1.5!

          Show
          mengxr Xiangrui Meng added a comment - I'm closing this issue now. Follow-up work will be tracked in SPARK-9647 for 1.6. Thanks Eric Liang for implementing the initial MLlib + SparkR integration in 1.5!

            People

            • Assignee:
              ekhliang Eric Liang
              Reporter:
              mengxr Xiangrui Meng
            • Votes:
              2 Vote for this issue
              Watchers:
              16 Start watching this issue

              Dates

              • Created:
                Updated:
                Resolved:

                Development