Github user GayathriMurali commented on a diff in the pull request:
https://github.com/apache/spark/pull/12675#discussion_r67954415
--- Diff: python/pyspark/ml/tests.py ---
@@ -1070,6 +1070,21 @@ def test_logistic_regression_summary(self):
sameSummary = model.evaluate(df)
self.assertAlmostEqual(sameSummary.areaUnderROC, s.areaUnderROC)
+ def test_gaussian_mixture_summary(self):
+ from pyspark.mllib.linalg import Vectors
+ df =
self.spark.read.format("libsvm").load("data/mllib/sample_kmeans_data.txt")
--- End diff --
Please let me know if its ok to load data from a file when all other test
cases uses hard coded data values. I tried with a sparse vector and fit gave me
an error for the data format.
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