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Kaushik Ranjan commented on SPARK-2335: --------------------------------------- Hi [~bgawalt], [~yu_ishikawa] PFA the code for knnJoin https://github.com/kaushikranjan/knnJoin It's in accordance to Algorithm1 from the paper cited below http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=5447837&tag=1 Regards, [~Kaushik619] [~Rusty] > 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. -- 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