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https://issues.apache.org/jira/browse/SPARK-10078?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14978922#comment-14978922
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Kotaro Tanahashi edited comment on SPARK-10078 at 10/28/15 6:27 PM:
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When vector-free L-BFGS applies 2D partitioning to the training data, is it
necessary to create Gradient class (such as LogisticGradient or HingeGradient)
for distributed feature data?
was (Author: tana):
When vector-free L-BFGS applies 2D partitioning to the training data, is it
necessary to create Gradient class (such as LogisticGradient or HingeGradient)
for 2D distributed data?
> 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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