Joseph K. Bradley created SPARK-7210: ----------------------------------------
Summary: Test matrix decompositions for speed vs. numerical stability for Gaussians Key: SPARK-7210 URL: https://issues.apache.org/jira/browse/SPARK-7210 Project: Spark Issue Type: Improvement Components: MLlib Reporter: Joseph K. Bradley Priority: Minor We currently use SVD for inverting the Gaussian's covariance matrix and computing the determinant. SVD is numerically stable but slow. We could experiment with Cholesky, etc. to figure out a better option, or a better option for certain settings. -- 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