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Travis Galoppo commented on SPARK-5016: --------------------------------------- Right, unless each reducer is computing the likelihood for all clusters (just to update a single cluster)... essentially doing k times as much work as is currently done.. which brings me back to my feeling of awkwardness. > GaussianMixtureEM should distribute matrix inverse for large numFeatures, k > --------------------------------------------------------------------------- > > Key: SPARK-5016 > URL: https://issues.apache.org/jira/browse/SPARK-5016 > Project: Spark > Issue Type: Improvement > Components: MLlib > Affects Versions: 1.2.0 > Reporter: Joseph K. Bradley > > If numFeatures or k are large, GMM EM should distribute the matrix inverse > computation for Gaussian initialization. -- 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