[ https://issues.apache.org/jira/browse/SPARK-29334?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Sean R. Owen updated SPARK-29334: --------------------------------- Shepherd: (was: Sean R. Owen) > Supported vector operators in scala should have parity with pySpark > -------------------------------------------------------------------- > > Key: SPARK-29334 > URL: https://issues.apache.org/jira/browse/SPARK-29334 > Project: Spark > Issue Type: Improvement > Components: ML, MLlib > Affects Versions: 3.0.0 > Reporter: Patrick Pisciuneri > Priority: Minor > > pySpark supports various overloaded operators for the DenseVector type that > the scala class does not support. > - ML: > https://github.com/apache/spark/blob/master/python/pyspark/ml/linalg/__init__.py#L441-L462 > - MLLIB: > https://github.com/apache/spark/blob/master/python/pyspark/mllib/linalg/__init__.py#L485-L506 > We should be able to leverage the BLAS wrappers to implement these methods on > the scala side. -- 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