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Posted to issues@spark.apache.org by "Hyukjin Kwon (JIRA)" <ji...@apache.org> on 2019/05/21 04:00:23 UTC

[jira] [Updated] (SPARK-13610) Create a Transformer to disassemble vectors in DataFrames

     [ https://issues.apache.org/jira/browse/SPARK-13610?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Hyukjin Kwon updated SPARK-13610:
---------------------------------
    Labels: bulk-closed  (was: )

> Create a Transformer to disassemble vectors in DataFrames
> ---------------------------------------------------------
>
>                 Key: SPARK-13610
>                 URL: https://issues.apache.org/jira/browse/SPARK-13610
>             Project: Spark
>          Issue Type: New Feature
>          Components: ML, SQL
>    Affects Versions: 1.6.0
>            Reporter: Andrew MacKinlay
>            Priority: Minor
>              Labels: bulk-closed
>
> It is possible to convert a standalone numeric field into a single-item Vector, using VectorAssembler. However the inverse operation of retrieving a single item from a vector and translating it into a field doesn't appear to be possible. The workaround I've found is to leave the raw field value in the DF, but I have found no other ways to get a field out of a vector (eg to perform arithmetic on it). Happy to be proved wrong though. Creating a user-defined function doesn't work (in Python at least; it gets a pickleexception).This seems like a simple operation which should be supported for various use cases. 



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