[jira] [Closed] (FLINK-5936) Can't pass keyed vectors to KNN join algorithm

["Chesnay Schepler (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/FLINK-5936?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Chesnay Schepler closed FLINK-5936.
-----------------------------------
    Resolution: Won't Do

Closing since flink-ml is effectively frozen.

> Can't pass keyed vectors to KNN join algorithm  
> ------------------------------------------------
>
>                 Key: FLINK-5936
>                 URL: https://issues.apache.org/jira/browse/FLINK-5936
>             Project: Flink
>          Issue Type: Improvement
>          Components: Library / Machine Learning
>    Affects Versions: 1.1.3
>            Reporter: Alex DeCastro
>            Priority: Minor
>
> Hi there, 
> I noticed that for Scala 2.10/Flink 1.1.3 there's no way to recover keys from the predict method of KNN join even if the Vector (FlinkVector) class gets extended to allow for keys.  
> If I create a class say, SparseVectorsWithKeys the predict method will return SparseVectors only. Any workarounds here?  
> Would it be possible to either extend the Vector class or the ML models to consume and output keyed vectors?  This is very important to NLP and pretty much a lot of ML pipeline debugging -- including logging. 
> Thanks a lot
> Alex



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