All Classes and Interfaces

Class	Description
CARTClassificationOptions	Options for building a classification tree trainer.
CARTClassificationOptions.ImpurityType	The impurity algorithm.
CARTClassificationOptions.TreeType	Type of decision tree algorithm.
CARTClassificationTrainer	A Trainer that uses an approximation of the CART algorithm to build a decision tree.
ClassifierTrainingNode	A decision tree node used at training time.
Entropy	A log_e entropy impurity measure.
GiniIndex	The Gini index impurity measure.
LabelImpurity	Calculates a tree impurity score based on label counts, weighted label counts or a probability distribution.
TrainTest	Build and run a decision tree classifier for a standard dataset.
TrainTest.TrainTestOptions	Command line options.