Github user MLnick commented on a diff in the pull request:
https://github.com/apache/spark/pull/12957#discussion_r62807268
--- Diff: docs/mllib-feature-extraction.md ---
@@ -44,6 +44,8 @@ To reduce the chance of collision, we can increase the
target feature dimension,
the number of buckets of the hash table.
The default feature dimension is `$2^{20} = 1,048,576$`.
+We recommend users to adapt to the DataFrame-based API in [ML user guide
on TF-IDF](ml-features.html#tf-idf).
--- End diff --
How strongly do we want to push users to the DF API? We could start putting
this as a `**Note**` just below the section heading (e.g. right below `##
TF-IDF` above), which would make it a bit more "aggressive", but we are
explicitly making the RDD-based APIs maintenance only.
cc @jkbradley
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