Github user thunterdb commented on a diff in the pull request:
https://github.com/apache/spark/pull/10234#discussion_r47262584
--- Diff: docs/ml-classification-regression.md ---
@@ -27,10 +27,10 @@ displayTitle: Classification and regression in spark.ml
* This will become a table of contents (this text will be scraped).
{:toc}
-In MLlib, we implement popular linear methods such as logistic
+In `spark.ml`, we implement popular linear methods such as logistic
regression and linear least squares with $L_1$ or $L_2$ regularization.
Refer to [the linear methods in mllib](mllib-linear-methods.html) for
-details. In `spark.ml`, we also include Pipelines API for [Elastic
+details about implementation and tuning. We also include a Dataframe API
for [Elastic
--- End diff --
Corrected everywhere in the documentation
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