Github user wangmiao1981 commented on a diff in the pull request:
https://github.com/apache/spark/pull/12402#discussion_r59895216
--- 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 GaussianMixtureModel.
+
+ .. 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 gaussians(self):
+ """
+ Array of MultivariateGaussian where gaussians[i] represents
+ the Multivariate Gaussian (Normal) Distribution for Gaussian i.
+ """
+ return self._call_java("gaussians")
--- End diff --
I tried you the MultivariateGaussian, but had one run time error. I will
try to fix it. Thanks!
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