Kevin Ushey created SPARK-20632: ----------------------------------- Summary: Allow 'Column.getItem()' API to accept Vector columns Key: SPARK-20632 URL: https://issues.apache.org/jira/browse/SPARK-20632 Project: Spark Issue Type: Improvement Components: Spark Core Affects Versions: 2.1.1, 1.6.3 Reporter: Kevin Ushey Priority: Minor
The 'getItem()' API is quite handy for extracting values from Dataset columns of type 'ArrayType'. It would be quite useful if this could also accept 'Vector' columns, e.g. those generated by the various MLLib routines (probability columns). If I understand correctly, users are forced to define custom UDFs to handle this case, and the UDF type required for vector columns is not always obvious. -- This message was sent by Atlassian JIRA (v6.3.15#6346) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org