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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