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Debasish Das commented on SPARK-10078: -------------------------------------- Ideally feature partitioning should be automatically tuned...at 100M features master only processing what we do with Breeze LBFGS / OWLQN will also get benefitted by VL-BFGS....Ideally it should be part of breeze and a proper interface should be defined so that the Breeze VL-BFGS solver can be called in Spark ML... > Vector-free L-BFGS > ------------------ > > Key: SPARK-10078 > URL: https://issues.apache.org/jira/browse/SPARK-10078 > Project: Spark > Issue Type: New Feature > Components: ML > Reporter: Xiangrui Meng > Assignee: Yanbo Liang > > This is to implement a scalable version of vector-free L-BFGS > (http://papers.nips.cc/paper/5333-large-scale-l-bfgs-using-mapreduce.pdf). > Design document: > https://docs.google.com/document/d/1VGKxhg-D-6-vZGUAZ93l3ze2f3LBvTjfHRFVpX68kaw/edit?usp=sharing -- 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