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https://issues.apache.org/jira/browse/MADLIB-1129?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16167279#comment-16167279
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Nandish Jayaram commented on MADLIB-1129:
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Himanshu,
Since you are working on including more distance functions for kNN, I thought
extending that to the output layer might also be useful. Right now, it looks
like
MADlib does a simple average of the k-nearest neighbors to come up with the
final value for both 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
classification label or regression score has to be computed (avg or weighted
avg).
[~fmcquillan] any thoughts?
> Additional output information for k-NN
> --------------------------------------
>
> Key: MADLIB-1129
> URL: https://issues.apache.org/jira/browse/MADLIB-1129
> Project: Apache MADlib
> Issue Type: Improvement
> Components: k-NN
> Reporter: Frank McQuillan
> Assignee: Himanshu Pandey
> Priority: Minor
> Labels: starter
> Fix For: v2.0
>
>
> Follow on to
> https://issues.apache.org/jira/browse/MADLIB-927
> List the k-nearest neighbors that were used in the voting/averaging, sorted
> in ASC order according to the distance function used. This could be added to
> the current output table.
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