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Posted to issues@spark.apache.org by "Yanbo Liang (JIRA)" <ji...@apache.org> on 2017/03/20 10:02:41 UTC

[jira] [Created] (SPARK-20029) LiR supports bound constrained optimization

Yanbo Liang created SPARK-20029:
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             Summary: LiR supports bound constrained optimization
                 Key: SPARK-20029
                 URL: https://issues.apache.org/jira/browse/SPARK-20029
             Project: Spark
          Issue Type: Improvement
          Components: ML
    Affects Versions: 2.2.0
            Reporter: Yanbo Liang


MLlib {{LinearRegression}} should support bound constrained optimization. Users can add bound constraints to coefficients to make the solver produce  solution in the specified range.
In Spark MLlib, we call breeze L-BFGS-B as the solver for bound constrained optimization.

* https://neos-guide.org/content/bound-constrained-optimization



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