Github user jkbradley commented on a diff in the pull request:
https://github.com/apache/spark/pull/12402#discussion_r60975535
--- 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 --
No need to fix this issue, but a JIRA for doc/example sounds good, thanks!
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