[ https://issues.apache.org/jira/browse/SPARK-2335?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]
Kaushik Ranjan updated SPARK-2335: ---------------------------------- Comment: was deleted (was: Hi [~bgawalt]. For evaluation of KNN-join, one needs to calculate z-scores of data-points within the dataset. Yu-ISHIKAWA has implemented the following https://gist.github.com/yu-iskw/37ae208c530f7018e048 Will it be justified to put up a NewFeature Issue to address z-scores? ) > 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