[GitHub] spark pull request: [SPARK-5012][MLLib][PySpark]Python API for Gau...

[FlytxtRnD <gi...@git.apache.org>]

Github user FlytxtRnD commented on the pull request:

    https://github.com/apache/spark/pull/4059#issuecomment-72404786
  
    Instead of passing mu & sigma as arrays, I tried to directly pass "gaussians "(Array[MultivariateGaussian]) from PythonMLLibAPI. But I was not able to access the attributes of the MultivariateGaussian class object in python. Then I converted "gaussians" to 2 arrays of mu and sigma and returned to python. Which method is good? And is it possible to access the attributes mu & sigma in python by passing "gaussians" directly?



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