Github user jkbradley commented on a diff in the pull request:
https://github.com/apache/spark/pull/7244#discussion_r34003734
--- Diff: docs/ml-features.md ---
@@ -288,6 +288,82 @@ for words_label in wordsDataFrame.select("words",
"label").take(3):
</div>
+## $n$-gram
+
+An [n-gram](https://en.wikipedia.org/wiki/N-gram) is a sequence of $n$
tokens (typically words) for some integer $n$. The
[NGram](api/scala/index.html#org.apache.spark.ml.feature.NGram) class can be
used to transform input features into $n$-grams.
--- End diff --
I've started to put the link for the API docs under each language's
codetab. See StringIndexer's doc in this file for an example.
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