All Classes and Interfaces

Class	Description
AbstractCARTTrainer<T>	Base class for Trainer's that use an approximation of the CART algorithm to build a decision tree.
AbstractCARTTrainer.AbstractCARTTrainerProvenance	Deprecated.
AbstractTrainingNode<T>	Base class for decision tree nodes used at training time.
AbstractTrainingNode.LeafDeterminer	Contains parameters needed to determine whether a node is a leaf.
DecisionTreeTrainer<T>	A tag interface for a Trainer so the random forests trainer can check if it's actually a tree.
ExtraTreesTrainer<T>	A trainer which produces an Extremely Randomized Tree Ensemble.
IntArrayContainer	An array container which maintains the array and the size.
LeafNode<T>	An immutable leaf Node that can create a prediction.
Node<T>	A node in a decision tree.
RandomForestTrainer<T>	A trainer which produces a random forest.
SplitNode<T>	An immutable Node with a split and two child nodes.
TreeModel<T>	A Model wrapped around a decision tree root Node.