[
https://issues.apache.org/jira/browse/SPARK-17137?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15941114#comment-15941114
]
Seth Hendrickson commented on SPARK-17137:
------------------------------------------
I can make a PR for using this inside the MLOR code, but I probably won't have
time to do performance tests within the next couple of days (since code freeze
has already passed). [~dbtsai] Do you think we need to do performance tests
before this patch goes in?
> Add compressed support for multinomial logistic regression coefficients
> -----------------------------------------------------------------------
>
> Key: SPARK-17137
> URL: https://issues.apache.org/jira/browse/SPARK-17137
> Project: Spark
> Issue Type: Sub-task
> Components: ML
> Reporter: Seth Hendrickson
> Priority: Minor
>
> For sparse coefficients in MLOR, such as when high L1 regularization, it may
> be more efficient to store coefficients in compressed format. We can add this
> option to MLOR and perhaps to do some performance tests to verify
> improvements.
--
This message was sent by Atlassian JIRA
(v6.3.15#6346)
---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]