| Class | Description |
|---|---|
| DecisionTree |
:: Experimental ::
A class which implements a decision tree learning algorithm for classification and regression.
|
| GradientBoostedTrees |
:: Experimental ::
A class that implements
Stochastic Gradient Boosting
for regression and binary classification. |
| RandomForest |
:: Experimental ::
A class that implements a
Random Forest
learning algorithm for classification and regression. |
| RandomForest.NodeIndexInfo |