You are viewing a plain text version of this content. The canonical link for it is here.
Posted to issues@spark.apache.org by "Kotaro Tanahashi (JIRA)" <ji...@apache.org> on 2015/10/28 19:11:27 UTC

[jira] [Comment Edited] (SPARK-10078) Vector-free L-BFGS

    [ https://issues.apache.org/jira/browse/SPARK-10078?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14978922#comment-14978922 ] 

Kotaro Tanahashi edited comment on SPARK-10078 at 10/28/15 6:10 PM:
--------------------------------------------------------------------

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)?


was (Author: tana):
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: issues-unsubscribe@spark.apache.org
For additional commands, e-mail: issues-help@spark.apache.org