Github user atalwalkar commented on a diff in the pull request:
https://github.com/apache/spark/pull/2068#discussion_r16514111
--- Diff: docs/mllib-feature-extraction.md ---
@@ -70,4 +70,110 @@ for((synonym, cosineSimilarity) <- synonyms) {
</div>
</div>
-## TFIDF
\ No newline at end of file
+## TFIDF
+
+## StandardScaler
+
+Standardizes features by scaling to unit variance and/or removing the mean
using column summary
+statistics on the samples in the training set. For example, RBF kernel of
Support Vector Machines
+or the L1 and L2 regularized linear models typically assume that all
features have unit variance
+and/or zero mean.
--- End diff --
This is too strong of a statement. Why not just say "Normalizing features
to have unit variance and/or zero mean is very a common preprocessing step."
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