Github user wangmiao1981 commented on a diff in the pull request: https://github.com/apache/spark/pull/12402#discussion_r60123953 --- 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 -- private[python] class GaussianMixtureModelWrapper(model: GaussianMixtureModel) is not properly called by ML. So it has a deserialization issue. I am checking how to fix it now.
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