Github user feynmanliang commented on a diff in the pull request:
https://github.com/apache/spark/pull/8498#discussion_r38232345
--- 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 --
Should we mention Dataframes here in `ml-guide` as well as in `mllib-guide`?
---
If your project is set up for it, you can reply to this email and have your
reply appear on GitHub as well. If your project does not have this feature
enabled and wishes so, or if the feature is enabled but not working, please
contact infrastructure at [email protected] or file a JIRA ticket
with INFRA.
---
---------------------------------------------------------------------
To unsubscribe, e-mail: [email protected]
For additional commands, e-mail: [email protected]
