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Posted to issues@spark.apache.org by "DB Tsai (JIRA)" <ji...@apache.org> on 2016/08/19 23:17:20 UTC
[jira] [Comment Edited] (SPARK-17137) Add compressed support for
multinomial logistic regression coefficients
[ https://issues.apache.org/jira/browse/SPARK-17137?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15429025#comment-15429025 ]
DB Tsai edited comment on SPARK-17137 at 8/19/16 11:16 PM:
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Currently, for LiR or BLOR, we always do `Vector.compressed` when creating the models which is optimized for space, but computation. We need to investigate the trade-off.
was (Author: dbtsai):
Currently, for LiR or BLOR, we always do `Vector.compressed` which is optimized for space, but computation. We need to investigate the trade-off.
> 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.
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