Github user jkbradley commented on a diff in the pull request:
https://github.com/apache/spark/pull/20904#discussion_r179830986
--- Diff: python/pyspark/ml/stat.py ---
@@ -134,6 +134,65 @@ def corr(dataset, column, method="pearson"):
return _java2py(sc, javaCorrObj.corr(*args))
+class KolmogorovSmirnovTest(object):
+ """
+ .. note:: Experimental
+
+ Conduct the two-sided Kolmogorov Smirnov (KS) test for data sampled
from a continuous
+ distribution.
+
+ By comparing the largest difference between the empirical cumulative
+ distribution of the sample data and the theoretical distribution we
can provide a test for the
+ the null hypothesis that the sample data comes from that theoretical
distribution.
+
+ :param dataset:
+ a dataset or a dataframe containing the sample of data to test.
--- End diff --
nit: dataset -> Dataset, dataframe -> DataFrame (It's nice to write class
names the way they are defined.)
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