Github user sryza commented on a diff in the pull request:
https://github.com/apache/spark/pull/7278#discussion_r35344486
--- Diff: docs/mllib-statistics.md ---
@@ -456,6 +456,39 @@ val testResult2 =
Statistics.kolmogorovSmirnovTest(data, myCDF)
</div>
</div>
+MLlib also provides a 1-sample Anderson-Darling test, which allows users
to test a given
+sample of data, in the form of `RDD[Double]`, against one of various
continuous distributions.
+The statistic can be used to test the null hypothesis that the data come
from that given
+distribution. Thus the Anderson-Darling test is a goodness-of-fit for
continuous
--- End diff --
goodness-of-fit *test*
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