[
https://issues.apache.org/jira/browse/SPARK-11439?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14990241#comment-14990241
]
holdenk commented on SPARK-11439:
---------------------------------
So, at first look, I think this could still make sense, using BLAS.scala we can
ask for the dot product on a sparse vector (which doesn't go through actual
BLAS but since dot product is pretty simple we are likely dominated by copy
time to BLAS anyways). What do you think?
> Optiomization of creating sparse feature without dense one
> ----------------------------------------------------------
>
> Key: SPARK-11439
> URL: https://issues.apache.org/jira/browse/SPARK-11439
> Project: Spark
> Issue Type: Improvement
> Components: ML
> Reporter: Kai Sasaki
> Priority: Minor
>
> Currently, sparse feature generated in {{LinearDataGenerator}} needs to
> create dense vectors once. It is cost efficient to prevent from generating
> dense feature when creating sparse features.
--
This message was sent by Atlassian JIRA
(v6.3.4#6332)
---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]
