Github user mengxr commented on a diff in the pull request:
https://github.com/apache/spark/pull/6461#discussion_r31303573
--- Diff: python/pyspark/mllib/feature.py ---
@@ -164,6 +163,13 @@ class StandardScaler(object):
variance using column summary statistics on the samples in the
training set.
+ :param withMean: False by default. Centers the data with mean
+ before scaling. It will build a dense output, so this
+ does not work on sparse input and will raise an
+ exception.
+ :param withStd: True by default. Scales the data to unit
--- End diff --
We don't do vertical alignment in Spark code. So we should remove one space
after `withStd:`.
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