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Posted to issues@spark.apache.org by "Apache Spark (JIRA)" <ji...@apache.org> on 2017/01/06 07:44:58 UTC
[jira] [Assigned] (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 ]
Apache Spark reassigned SPARK-13610:
------------------------------------
Assignee: (was: Apache Spark)
> 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
>
> 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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