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Xiangrui Meng commented on SPARK-10668: --------------------------------------- [~lewuathe] This JIRA blocks several others. Could you try to submit a PR in 2 days? > Use WeightedLeastSquares in LinearRegression with L2 regularization if the > number of features is small > ------------------------------------------------------------------------------------------------------ > > Key: SPARK-10668 > URL: https://issues.apache.org/jira/browse/SPARK-10668 > Project: Spark > Issue Type: New Feature > Components: ML > Reporter: Xiangrui Meng > Priority: Critical > > If the number of features is small (<=4096) and the regularization is L2, we > should use WeightedLeastSquares to solve the problem rather than L-BFGS. The > former requires only one pass to the data. -- 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