[ https://issues.apache.org/jira/browse/SPARK-17950?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Apache Spark reassigned SPARK-17950: ------------------------------------ Assignee: Apache Spark > Match SparseVector behavior with DenseVector > -------------------------------------------- > > Key: SPARK-17950 > URL: https://issues.apache.org/jira/browse/SPARK-17950 > Project: Spark > Issue Type: Improvement > Components: MLlib, PySpark > Affects Versions: 2.0.1 > Reporter: AbderRahman Sobh > Assignee: Apache Spark > Priority: Minor > Original Estimate: 0h > Remaining Estimate: 0h > > Simply added the `__getattr__` to SparseVector that DenseVector has, but > calls self.toArray() instead of storing a vector all the time in self.array > This allows for use of numpy functions on the values of a SparseVector in the > same direct way that users interact with DenseVectors. > i.e. you can simply call SparseVector.mean() to average the values in the > entire vector. -- This message was sent by Atlassian JIRA (v6.3.4#6332) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org