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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:
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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).
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