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Yanbo Liang edited comment on SPARK-10078 at 1/6/17 4:27 PM: ------------------------------------------------------------- [~debasish83] We are aim to implement VL-BFGS as an optimizer for ~billion features in the peer position compared with Breeze LBFGS/OWLQN, and then ML algorithms can switch between them automatically based on the number of features. So an abstract interface between the algorithms and optimizers is absolutely necessary. To the VL-BFGS, I have a basic implementation at https://github.com/yanboliang/spark-vlbfgs, please feel free to review and comment the code. Thanks. was (Author: yanboliang): [~debasish83] We are aim to implement VL-BFGS as an optimizer which should be similar with Breeze LBFGS/OWLQN, and switching between them should be automatically based on the number of features. So an abstract interface between the algorithm and optimizer is really necessary. I have a basic implementation at https://github.com/yanboliang/spark-vlbfgs, please feel free to review and comment the code. Thanks. > 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