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https://issues.apache.org/jira/browse/SPARK-17137?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15429025#comment-15429025
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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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