Github user yanboliang commented on a diff in the pull request:
https://github.com/apache/spark/pull/13410#discussion_r65192762
--- Diff: python/pyspark/ml/feature.py ---
@@ -1481,6 +1474,10 @@ class StandardScaler(JavaEstimator, HasInputCol,
HasOutputCol, JavaMLReadable, J
Standardizes features by removing the mean and scaling to unit
variance using column summary
statistics on the samples in the training set.
+ The "unit std" is computed using the `corrected sample standard
deviation \
+
<https://en.wikipedia.org/wiki/Standard_deviation#Corrected_sample_standard_deviation>`_,
+ which is computed as the square root of the unbiased sample variance.
+
--- End diff --
Sync the docs with Scala one.
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