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

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

Frank McQuillan created MADLIB-1181:
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             Summary: 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
             Fix For: v1.13


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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