zhengruifeng created SPARK-30109: ------------------------------------ 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. -- 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