[
https://issues.apache.org/jira/browse/SPARK-10078?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14978922#comment-14978922
]
Kotaro Tanahashi commented on SPARK-10078:
------------------------------------------
When vector-free L-BFGS applies 2D partitioning to the training data, is it
necessary to create 2D distributed version of Gradient class, such as
LogisticGradient or HingeGradient?
> 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: Xiangrui Meng
>
> 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).
--
This message was sent by Atlassian JIRA
(v6.3.4#6332)
---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]
