aboutsummaryrefslogtreecommitdiff
path: root/docs/mllib-decision-tree.md
diff options
context:
space:
mode:
Diffstat (limited to 'docs/mllib-decision-tree.md')
-rw-r--r--docs/mllib-decision-tree.md6
1 files changed, 3 insertions, 3 deletions
diff --git a/docs/mllib-decision-tree.md b/docs/mllib-decision-tree.md
index 77ce34e91a..a8612b6c84 100644
--- a/docs/mllib-decision-tree.md
+++ b/docs/mllib-decision-tree.md
@@ -1,7 +1,7 @@
---
layout: global
-title: Decision Trees - MLlib
-displayTitle: <a href="mllib-guide.html">MLlib</a> - Decision Trees
+title: Decision Trees - spark.mllib
+displayTitle: Decision Trees - spark.mllib
---
* Table of contents
@@ -15,7 +15,7 @@ feature scaling, and are able to capture non-linearities and feature interaction
algorithms such as random forests and boosting are among the top performers for classification and
regression tasks.
-MLlib supports decision trees for binary and multiclass classification and for regression,
+`spark.mllib` supports decision trees for binary and multiclass classification and for regression,
using both continuous and categorical features. The implementation partitions data by rows,
allowing distributed training with millions of instances.