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https://issues.apache.org/jira/browse/SPARK-30109?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel
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zhengruifeng resolved SPARK-30109.
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Fix Version/s: 3.0.0
Resolution: Fixed
Issue resolved by pull request 26745
[https://github.com/apache/spark/pull/26745]
> 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
> Fix For: 3.0.0
>
>
> 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.
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