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Posted to issues@spark.apache.org by "Junyang Qian (JIRA)" <ji...@apache.org> on 2016/08/25 19:21:21 UTC

[jira] [Created] (SPARK-17241) SparkR spark.glm should have configurable regularization parameter(s)

Junyang Qian created SPARK-17241:
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             Summary: SparkR spark.glm should have configurable regularization parameter(s)
                 Key: SPARK-17241
                 URL: https://issues.apache.org/jira/browse/SPARK-17241
             Project: Spark
          Issue Type: Improvement
            Reporter: Junyang Qian


Spark has configurable L2 regularization parameter for linear regression and an additional elastic-net parameter for generalized linear model. It is very important to have them in SparkR so that users can run ridge regression and elastic-net.



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