[SPARK-12212][ML][DOC] Clarifies the difference between spark.ml, spark.mllib and mllib in the documentation.

Replaces a number of occurences of `MLlib` in the documentation that were meant to refer to the `spark.mllib` package instead. It should clarify for new users the difference between `spark.mllib` (the package) and MLlib (the umbrella project for ML in spark).

It also removes some files that I forgot to delete with #10207

Author: Timothy Hunter <timhunter@databricks.com>

Closes #10234 from thunterdb/12212.

1 files changed, 3 insertions, 16 deletions

diff --git a/docs/ml-guide.md b/docs/ml-guide.md
index 6f35b30c3d..5c96c2b7d5 100644
--- a/docs/ml-guide.md
+++ b/docs/ml-guide.md
@@ -1,8 +1,10 @@
 ---
 layout: global
-title: Spark ML Programming Guide
+title: "Overview: estimators, transformers and pipelines - spark.ml"
+displayTitle: "Overview: estimators, transformers and pipelines - spark.ml"
 ---
 
+
 `\[
 \newcommand{\R}{\mathbb{R}}
 \newcommand{\E}{\mathbb{E}}
@@ -32,21 +34,6 @@ See the [algorithm guides](#algorithm-guides) section below for guides on sub-pa
 * This will become a table of contents (this text will be scraped).
 {:toc}
 
-# Algorithm guides
-
-We provide several algorithm guides specific to the Pipelines API.
-Several of these algorithms, such as certain feature transformers, are not in the `spark.mllib` API.
-Also, some algorithms have additional capabilities in the `spark.ml` API; e.g., random forests
-provide class probabilities, and linear models provide model summaries.
-
-* [Feature extraction, transformation, and selection](ml-features.html)
-* [Clustering](ml-clustering.html)
-* [Decision Trees for classification and regression](ml-decision-tree.html)
-* [Ensembles](ml-ensembles.html)
-* [Linear methods with elastic net regularization](ml-linear-methods.html)
-* [Multilayer perceptron classifier](ml-ann.html)
-* [Survival Regression](ml-survival-regression.html)
-
 
 # Main concepts in Pipelines