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  1. Spark
  2. SPARK-1547

Add gradient boosting algorithm to MLlib

    Details

    • Type: New Feature
    • Status: Resolved
    • Priority: Major
    • Resolution: Fixed
    • Affects Version/s: 1.0.0
    • Fix Version/s: 1.2.0
    • Component/s: MLlib
    • Labels:
      None
    • Target Version/s:

      Description

      This task requires adding the gradient boosting algorithm to Spark MLlib. The implementation needs to adapt the gradient boosting algorithm to the scalable tree implementation.

      The tasks involves:

      • Comparing the various tradeoffs and finalizing the algorithm before implementation
      • Code implementation
      • Unit tests
      • Functional tests
      • Performance tests
      • Documentation

      Ensembles design document (Google doc)

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              • Assignee:
                manishamde Manish Amde
                Reporter:
                manishamde Manish Amde
                Shepherd:
                Joseph K. Bradley
              • Votes:
                1 Vote for this issue
                Watchers:
                11 Start watching this issue

                Dates

                • Created:
                  Updated:
                  Resolved: