Uploaded image for project: 'Spark'
  1. Spark
  2. SPARK-14200

The optimization method of convex function

    XMLWordPrintableJSON

Details

    • Question
    • Status: Resolved
    • Major
    • Resolution: Duplicate
    • 2.0.0
    • None
    • MLlib, Optimizer

    Description

      I want to implement Bundle Methods for Regularized Risk Minimization(BMRM) in Spark MLlib. BMRM is a nonsmooth convex optimization techniques, which is more faster than SGD and can solve non-differentiable problems and differentiable problems. Is this idea OK, Can you give me some advices?

      Attachments

        Issue Links

          Activity

            People

              Unassigned Unassigned
              18390992640 chenalong
              Votes:
              0 Vote for this issue
              Watchers:
              2 Start watching this issue

              Dates

                Created:
                Updated:
                Resolved:

                Time Tracking

                  Estimated:
                  Original Estimate - 1,344h
                  1,344h
                  Remaining:
                  Remaining Estimate - 1,344h
                  1,344h
                  Logged:
                  Time Spent - Not Specified
                  Not Specified