We read every piece of feedback, and take your input very seriously.
To see all available qualifiers, see our documentation.
There was an error while loading. Please reload this page.
1 parent 8412e25 commit 8968843Copy full SHA for 8968843
README.md
@@ -9,14 +9,14 @@ Julia implementation of Decision Tree and Random Forest algorithms
9
## Classification
10
* pre-pruning (max depth, min leaf size)
11
* post-pruning (pessimistic pruning)
12
-* parallelized bagging (random forests)
+* multi-threaded bagging (random forests)
13
* adaptive boosting (decision stumps)
14
* cross validation (n-fold)
15
* support for mixed categorical and numerical data
16
17
## Regression
18
19
20
21
* support for numerical features
22
0 commit comments