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Posted to issues@madlib.apache.org by "Himanshu Pandey (JIRA)" <ji...@apache.org> on 2017/12/14 19:44:00 UTC
[jira] [Commented] (MADLIB-1181) Add an option for weighted average
in k-NN voting.
[ https://issues.apache.org/jira/browse/MADLIB-1181?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=16291457#comment-16291457 ]
Himanshu Pandey commented on MADLIB-1181:
-----------------------------------------
Hi [~fmcquillan],
For classification, we use mode and for regression, we use average.
How can the weighted average be used for the classification?
> Add an option for weighted average in k-NN voting.
> --------------------------------------------------
>
> 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 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).
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