[
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 regression. (was: Add
an option for weighted average in k-NN voting.)
> Add an option for weighted average in k-NN regression.
> ------------------------------------------------------
>
> 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 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
> regression score has to be computed (avg or weighted avg).
> This JIRA applies to regression only not classification, because
> classification uses majority voting.
--
This message was sent by Atlassian JIRA
(v6.4.14#64029)
