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From m...@apache.org
Subject spark git commit: [SPARK-18812][MLLIB] explain "Spark ML"
Date Sat, 10 Dec 2016 01:34:56 GMT
Repository: spark
Updated Branches:
  refs/heads/master cf33a8628 -> d2493a203


[SPARK-18812][MLLIB] explain "Spark ML"

## What changes were proposed in this pull request?

There has been some confusion around "Spark ML" vs. "MLlib". This PR adds some FAQ-like entries
to the MLlib user guide to explain "Spark ML" and reduce the confusion.

I check the [Spark FAQ page](http://spark.apache.org/faq.html), which seems too high-level
for the content here. So I added it to the MLlib user guide instead.

cc: mateiz

Author: Xiangrui Meng <meng@databricks.com>

Closes #16241 from mengxr/SPARK-18812.


Project: http://git-wip-us.apache.org/repos/asf/spark/repo
Commit: http://git-wip-us.apache.org/repos/asf/spark/commit/d2493a20
Tree: http://git-wip-us.apache.org/repos/asf/spark/tree/d2493a20
Diff: http://git-wip-us.apache.org/repos/asf/spark/diff/d2493a20

Branch: refs/heads/master
Commit: d2493a203e852adf63dde4e1fc993e8d11efec3d
Parents: cf33a86
Author: Xiangrui Meng <meng@databricks.com>
Authored: Fri Dec 9 17:34:52 2016 -0800
Committer: Xiangrui Meng <meng@databricks.com>
Committed: Fri Dec 9 17:34:52 2016 -0800

----------------------------------------------------------------------
 docs/ml-guide.md | 12 ++++++++++++
 1 file changed, 12 insertions(+)
----------------------------------------------------------------------


http://git-wip-us.apache.org/repos/asf/spark/blob/d2493a20/docs/ml-guide.md
----------------------------------------------------------------------
diff --git a/docs/ml-guide.md b/docs/ml-guide.md
index ddf81be..9717619 100644
--- a/docs/ml-guide.md
+++ b/docs/ml-guide.md
@@ -35,6 +35,18 @@ The primary Machine Learning API for Spark is now the [DataFrame](sql-programmin
 * The DataFrame-based API for MLlib provides a uniform API across ML algorithms and across
multiple languages.
 * DataFrames facilitate practical ML Pipelines, particularly feature transformations.  See
the [Pipelines guide](ml-pipeline.html) for details.
 
+*What is "Spark ML"?*
+
+* "Spark ML" is not an official name but occasionally used to refer to the MLlib DataFrame-based
API.
+  This is majorly due to the `org.apache.spark.ml` Scala package name used by the DataFrame-based
API, 
+  and the "Spark ML Pipelines" term we used initially to emphasize the pipeline concept.
+  
+*Is MLlib deprecated?*
+
+* No. MLlib includes both the RDD-based API and the DataFrame-based API.
+  The RDD-based API is now in maintenance mode.
+  But neither API is deprecated, nor MLlib as a whole.
+
 # Dependencies
 
 MLlib uses the linear algebra package [Breeze](http://www.scalanlp.org/), which depends on


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