Github user jkbradley commented on a diff in the pull request:
https://github.com/apache/spark/pull/6087#discussion_r30195886
--- Diff: python/pyspark/mllib/clustering.py ---
@@ -166,12 +166,39 @@ class GaussianMixtureModel(object):
True
>>> labels[3]==labels[4]
True
+ >>> clusterdata_3 = sc.parallelize([[-5.1971], [-2.5359], [-3.8220],
+ ... [-5.2211], [-5.0602], [4.7118],
+ ... [6.8989], [3.4592], [4.6322],
+ ... [5.7048], [4.6567], [5.5026],
+ ... [4.5605], [5.2043], [6.2734]])
+ >>> im = GaussianMixtureModel([0.5, 0.5],
+ ... [MultivariateGaussian(Vectors.dense([-1.0]), DenseMatrix(1,
1, [1.0])),
+ ... MultivariateGaussian(Vectors.dense([1.0]), DenseMatrix(1, 1,
[1.0]))])
+ >>> model = GaussianMixture.train(clusterdata_3, 2, initialModel=im)
+ >>> model.weights
--- End diff --
Testing the learned model like this does not look that robust. I'm mainly
concerned about the code running, so it should be fine to remove this line and
the 3 below it.
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