[jira] [Updated] (MADLIB-1181) Add an option for weighted average in k-NN

["Frank McQuillan (JIRA)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/MADLIB-1181?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

Frank McQuillan updated MADLIB-1181:
------------------------------------
    Summary: Add an option for weighted average in k-NN  (was: Add an option for weighted average in k-NN regression.)

> Add an option for weighted average in k-NN
> ------------------------------------------
>
>                 Key: MADLIB-1181
>                 URL: https://issues.apache.org/jira/browse/MADLIB-1181
>             Project: Apache MADlib
>          Issue Type: Improvement
>          Components: k-NN
>            Reporter: Frank McQuillan
>            Assignee: Himanshu Pandey
>            Priority: Minor
>             Fix For: v1.14
>
>
> Follow on from 
> https://issues.apache.org/jira/browse/MADLIB-1059
> (please see this JIRA for additional comments)
> MADlib does a simple average of the k-nearest neighbors to come up with the
> final value for classification and regression. Doing a weighted average instead
> might be a desirable functionality. The weighting for the average can be based on the
> distance of the k-nearest neighbors.
> We can probably provide an optional parameter to let users choose how the final
> score has to be computed (avg or weighted avg).
> This JIRA applies to regression only not classification, because classification uses majority voting.



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