[
https://issues.apache.org/jira/browse/SPARK-30109?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
]
zhengruifeng reassigned SPARK-30109:
------------------------------------
Assignee: zhengruifeng
> PCA use BLAS.gemv with sparse vector
> ------------------------------------
>
> Key: SPARK-30109
> URL: https://issues.apache.org/jira/browse/SPARK-30109
> Project: Spark
> Issue Type: Improvement
> Components: ML
> Affects Versions: 3.0.0
> Reporter: zhengruifeng
> Assignee: zhengruifeng
> Priority: Minor
>
> When PCA was first impled in
> [SPARK-5521|https://issues.apache.org/jira/browse/SPARK-5521], at that time
> Matrix.multiply(BLAS.gemv internally) did not support sparse vector. So it
> worked around it by applying a complex matrix multiplication.
> Since [SPARK-7681|https://issues.apache.org/jira/browse/SPARK-7681],
> BLAS.gemv supported sparse vector. So we can directly use Matrix.multiply now.
--
This message was sent by Atlassian Jira
(v8.3.4#803005)
---------------------------------------------------------------------
To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org
For additional commands, e-mail: issues-h...@spark.apache.org
