[jira] [Assigned] (SPARK-6651) Delegate dense vector arithmetics to the underly numpy array
[ https://issues.apache.org/jira/browse/SPARK-6651?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Apache Spark reassigned SPARK-6651: --- Assignee: Apache Spark (was: Xiangrui Meng) > Delegate dense vector arithmetics to the underly numpy array > > > Key: SPARK-6651 > URL: https://issues.apache.org/jira/browse/SPARK-6651 > Project: Spark > Issue Type: New Feature > Components: MLlib, PySpark >Affects Versions: 1.3.0 >Reporter: Xiangrui Meng >Assignee: Apache Spark > > It is convenient to delegate dense linear algebra operations to numpy. -- 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
[jira] [Assigned] (SPARK-6651) Delegate dense vector arithmetics to the underly numpy array
[ https://issues.apache.org/jira/browse/SPARK-6651?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ] Apache Spark reassigned SPARK-6651: --- Assignee: Xiangrui Meng (was: Apache Spark) > Delegate dense vector arithmetics to the underly numpy array > > > Key: SPARK-6651 > URL: https://issues.apache.org/jira/browse/SPARK-6651 > Project: Spark > Issue Type: New Feature > Components: MLlib, PySpark >Affects Versions: 1.3.0 >Reporter: Xiangrui Meng >Assignee: Xiangrui Meng > > It is convenient to delegate dense linear algebra operations to numpy. -- 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
