Sung Chung created SPARK-1892:
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             Summary: Add an OWL-QN optimizer for L1 regularized optimizations.
                 Key: SPARK-1892
                 URL: https://issues.apache.org/jira/browse/SPARK-1892
             Project: Spark
          Issue Type: New Feature
          Components: MLlib
            Reporter: Sung Chung


OWL-QN is a modified version of LBFGS to handle L1 regularization.

The original paper is at 
http://machinelearning.wustl.edu/mlpapers/paper_files/icml2007_AndrewG07.pdf

This implementation extends LBFGS and uses the OWL-QN implementation from 
breeze.



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