zhengruifeng created SPARK-30109:
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Summary: 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
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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