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Yanbo Liang commented on SPARK-17137: ------------------------------------- I think we should provide transparent interface to users rather than exposing a param to control whether output dense/sparse coefficients. Spark MLlib {{Vector.compressed}} returns a vector in either dense or sparse format, whichever uses less storage. I would like to do the performance tests for this issue. Thanks! > Add compressed support for multinomial logistic regression coefficients > ----------------------------------------------------------------------- > > Key: SPARK-17137 > URL: https://issues.apache.org/jira/browse/SPARK-17137 > Project: Spark > Issue Type: Sub-task > Components: ML > Reporter: Seth Hendrickson > Priority: Minor > > For sparse coefficients in MLOR, such as when high L1 regularization, it may > be more efficient to store coefficients in compressed format. We can add this > option to MLOR and perhaps to do some performance tests to verify > improvements. -- This message was sent by Atlassian JIRA (v6.3.4#6332) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org