Feynman Liang f472b8cdc0 [SPARK-5016] [MLLIB] Distribute GMM mixture components to executors ... Distribute expensive portions of computation for Gaussian mixture components (in particular, pre-computation of `MultivariateGaussian.rootSigmaInv`, the inverse covariance matrix and covariance determinant) across executors. Repost of PR#4654. Notes for reviewers: * What should be the policy for when to distribute computation. Always? When numClusters > threshold? User-specified param? TODO: * Performance testing and comparison for large number of clusters Author: Feynman Liang <fliang@databricks.com> Closes #7166 from feynmanliang/GMM_parallel_mixtures and squashes the following commits: 4f351fa [Feynman Liang] Update heuristic and scaladoc 5ea947e [Feynman Liang] Fix parallelization logic 00eb7db [Feynman Liang] Add helper method for GMM's M step, remove distributeGaussians flag e7c8127 [Feynman Liang] Add distributeGaussians flag and tests 1da3c7f [Feynman Liang] Distribute mixtures		2015-07-08 16:32:00 -07:00
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src	[SPARK-5016] [MLLIB] Distribute GMM mixture components to executors	2015-07-08 16:32:00 -07:00
pom.xml	[SPARK-8683] [BUILD] Depend on mockito-core instead of mockito-all	2015-06-27 23:27:52 -07:00