[ https://issues.apache.org/jira/browse/SPARK-2335?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Sean Owen resolved SPARK-2335. ------------------------------ Resolution: Duplicate Sounds like this is subsumed by discussion of the approximate version > 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. -- This message was sent by Atlassian JIRA (v6.3.4#6332) --------------------------------------------------------------------- To unsubscribe, e-mail: issues-unsubscr...@spark.apache.org For additional commands, e-mail: issues-h...@spark.apache.org