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  1. Spark
  2. SPARK-14200

The optimization method of convex function

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    • 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?

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          Task - A task that needs to be done. SPARK-14090 The optimization method of convex function

          • Major - Major loss of function.
          • Resolved

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              Unassigned Unassigned
              18390992640 chenalong
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