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https://issues.apache.org/jira/browse/SPARK-10078?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15820180#comment-15820180
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Weichen Xu edited comment on SPARK-10078 at 1/12/17 4:54 AM:
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As the detail problems I list above(I only list a small part problems), in my
opinion, breeze can provide the following base class and/or abstract interface:
FirstOrderMinimizerlevel
DiffFunction interface
LineSearch implementation (including StrongWolfeLinsearch and
BacktrackingLinesearch)
DistributedVector abstract interface
BUT, the core logic of VF-LBFGS and VF-OWLQN (based on VF-LBFGS) should be
implemented in spark mllib, for better optimization.
was (Author: weichenxu123):
As the detail problems I list above(I only list a small part problems), in my
opinion, breeze can provide the following base class and/or abstract interface
FirstOrderMinimizerlevel
DiffFunction interface
LineSearch implementation (including StrongWolfeLinsearch and
BacktrackingLinesearch)
DistributedVector abstract interface
BUT, the core logic of VF-LBFGS and VF-OWLQN (based on VF-LBFGS) should be
implemented in spark mllib, for better optimization.
> 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
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