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Posted to issues@spark.apache.org by "Brian Gawalt (JIRA)" <ji...@apache.org> on 2014/11/16 03:37:34 UTC
[jira] [Updated] (SPARK-2335) k-Nearest Neighbor classification and
regression for MLLib
[ https://issues.apache.org/jira/browse/SPARK-2335?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Brian Gawalt updated SPARK-2335:
--------------------------------
Shepherd: Ashutosh Trivedi
> 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: 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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