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[SPARK-18812] [MLLIB] explain "Spark ML" #16241

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12 changes: 12 additions & 0 deletions docs/ml-guide.md
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Expand Up @@ -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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