Github user mengxr commented on a diff in the pull request:
https://github.com/apache/spark/pull/8498#discussion_r38236878
--- Diff: docs/ml-guide.md ---
@@ -21,19 +21,10 @@ title: Spark ML Programming Guide
\]`
-Spark 1.2 introduced a new package called `spark.ml`, which aims to
provide a uniform set of
-high-level APIs that help users create and tune practical machine learning
pipelines.
-
-*Graduated from Alpha!* The Pipelines API is no longer an alpha
component, although many elements of it are still `Experimental` or
`DeveloperApi`.
-
-Note that we will keep supporting and adding features to `spark.mllib`
along with the
-development of `spark.ml`.
-Users should be comfortable using `spark.mllib` features and expect more
features coming.
-Developers should contribute new algorithms to `spark.mllib` and can
optionally contribute
-to `spark.ml`.
-
-See the [Algorithm Guides section](#algorithm-guides) below for guides on
sub-packages of `spark.ml`, including feature transformers unique to the
Pipelines API, ensembles, and more.
-
+The `spark.ml` package aims to provide a uniform set of high-level APIs
that help users create and
+tune practical machine learning pipelines.
--- End diff --
okay
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