[SPARK-2336] Approximate k-NN Models for MLLib - ASF JIRA
After tackling the general k-Nearest Neighbor model as per https://issues.apache.org/jira/browse/SPARK-2335 , there's an opportunity to also offer approximate k-Nearest Neighbor. A promising approach would involve building a kd-tree variant within from each partition, a la http://www.autonlab.org/autonweb/14714.html?branch=1&language=2 This could offer a simple non-linear ML model that can label n
[SPARK-2335] k-Nearest Neighbor classification and regression for MLLib - ASF JIRA
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
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ASF JIRA
[ZOOKEEPER-1061] Zookeeper stop fails if start called twice - ASF JIRA
