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Posted to issues@spark.apache.org by "Joseph K. Bradley (JIRA)" <ji...@apache.org> on 2014/12/30 21:40:13 UTC

[jira] [Created] (SPARK-5016) GaussianMixtureEM should distribute matrix inverse for large numFeatures, k

Joseph K. Bradley created SPARK-5016:
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             Summary: 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.



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