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https://issues.apache.org/jira/browse/SPARK-2335?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=14334889#comment-14334889
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Ashutosh Trivedi commented on SPARK-2335:
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Hi [~mengxr] do you have any link for this as well? or the one posted by Yu is
fine. Our implementation only works for Long/Int only, and that is an
approximate KNN. Please let us know if you have something in mind regarding
this.Happy to work on it as well.
> k-Nearest Neighbor classification and regression for MLLib
> ----------------------------------------------------------
>
> Key: SPARK-2335
> URL: https://issues.apache.org/jira/browse/SPARK-2335
> Project: Spark
> Issue Type: New Feature
> Components: MLlib
> Reporter: Brian Gawalt
> Priority: Minor
> Labels: clustering, features
>
> The k-Nearest Neighbor model for classification and regression problems is a
> simple and intuitive approach, offering a straightforward path to creating
> non-linear decision/estimation contours. It's downsides -- high variance
> (sensitivity to the known training data set) and computational intensity for
> estimating new point labels -- both play to Spark's big data strengths: lots
> of data mitigates data concerns; lots of workers mitigate computational
> latency.
> We should include kNN models as options in MLLib.
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