[ https://issues.apache.org/jira/browse/SPARK-16328?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Apache Spark reassigned SPARK-16328: ------------------------------------ Assignee: Nick Pentreath (was: Apache Spark) > Implement conversion utility functions for single instances in Python > --------------------------------------------------------------------- > > Key: SPARK-16328 > URL: https://issues.apache.org/jira/browse/SPARK-16328 > Project: Spark > Issue Type: Sub-task > Components: ML, MLlib, PySpark > Reporter: Nick Pentreath > Assignee: Nick Pentreath > > We have {{asML}}/{{fromML}} utility methods in Scala/Java to convert between > the old and new linalg types. These are missing in Python. > For dense vectors it's actually easy to do without, e.g. {{mlDenseVector = > Vectors.dense(mllibDenseVector)}}, but for sparse it doesn't work easily. So > it would be good to have utility methods available for users. -- 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