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-rw-r--r--docs/mllib-isotonic-regression.md6
1 files changed, 3 insertions, 3 deletions
diff --git a/docs/mllib-isotonic-regression.md b/docs/mllib-isotonic-regression.md
index 85f9226b43..8ede4407d5 100644
--- a/docs/mllib-isotonic-regression.md
+++ b/docs/mllib-isotonic-regression.md
@@ -1,7 +1,7 @@
---
layout: global
-title: Isotonic regression - MLlib
-displayTitle: <a href="mllib-guide.html">MLlib</a> - Regression
+title: Isotonic regression - spark.mllib
+displayTitle: Regression - spark.mllib
---
## Isotonic regression
@@ -23,7 +23,7 @@ Essentially isotonic regression is a
[monotonic function](http://en.wikipedia.org/wiki/Monotonic_function)
best fitting the original data points.
-MLlib supports a
+`spark.mllib` supports a
[pool adjacent violators algorithm](http://doi.org/10.1198/TECH.2010.10111)
which uses an approach to
[parallelizing isotonic regression](http://doi.org/10.1007/978-3-642-99789-1_10).