Github user wangmiao1981 commented on a diff in the pull request:

    https://github.com/apache/spark/pull/12402#discussion_r60963521
  
    --- Diff: python/pyspark/ml/clustering.py ---
    @@ -22,7 +22,151 @@
     from pyspark.mllib.common import inherit_doc
     
     __all__ = ['BisectingKMeans', 'BisectingKMeansModel',
    -           'KMeans', 'KMeansModel']
    +           'KMeans', 'KMeansModel',
    +           'GaussianMixture', 'GaussianMixtureModel']
    +
    +
    +class GaussianMixtureModel(JavaModel, JavaMLWritable, JavaMLReadable):
    +    """
    +    .. note:: Experimental
    +
    +    Model fitted by GaussianMixture.
    +
    +    .. versionadded:: 2.0.0
    +    """
    +
    +    @property
    +    @since("2.0.0")
    +    def weights(self):
    +        """
    +        Weights for each Gaussian distribution in the mixture, where 
weights[i] is
    +        the weight for Gaussian i, and weights.sum == 1.
    +        """
    +        return self._call_java("weights")
    +
    +    @property
    +    @since("2.0.0")
    +    def gaussiansDF(self):
    +        """
    +        Retrieve Gaussian distributions as a DataFrame.
    +        Each row represents a Gaussian Distribution.
    +        Two columns are defined: mean and cov.
    +        Schema:
    +        root
    --- End diff --
    
    @jkbradley I will check and try to fix the doc issue with another JIRA 
about creating doc and example for GassianMixture. Thanks!


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