Uses of Interface
org.tribuo.common.tree.DecisionTreeTrainer

Packages that use DecisionTreeTrainer

Package	Description
org.tribuo.classification.dtree	Provides implementations of decision trees for classification problems.
org.tribuo.common.tree	Provides common functionality for building decision trees, irrespective of the predicted Output.
org.tribuo.regression.rtree	Provides an implementation of decision trees for regression problems.

Uses of DecisionTreeTrainer in org.tribuo.classification.dtree

Classes in org.tribuo.classification.dtree that implement DecisionTreeTrainer

Modifier and Type	Class	Description
class	CARTClassificationTrainer	A Trainer that uses an approximation of the CART algorithm to build a decision tree.

Uses of DecisionTreeTrainer in org.tribuo.common.tree

Classes in org.tribuo.common.tree that implement DecisionTreeTrainer

Modifier and Type	Class	Description
class	AbstractCARTTrainer<T extends Output<T>>	Base class for Trainer's that use an approximation of the CART algorithm to build a decision tree.

Constructors in org.tribuo.common.tree with parameters of type DecisionTreeTrainer

Modifier	Constructor	Description
	ExtraTreesTrainer(DecisionTreeTrainer<T> trainer, EnsembleCombiner<T> combiner, int numMembers)	Constructs an ExtraTreesTrainer with the default seed Trainer.DEFAULT_SEED.
	ExtraTreesTrainer(DecisionTreeTrainer<T> trainer, EnsembleCombiner<T> combiner, int numMembers, long seed)	Constructs an ExtraTreesTrainer with the supplied seed, trainer, combining function and number of members.
	RandomForestTrainer(DecisionTreeTrainer<T> trainer, EnsembleCombiner<T> combiner, int numMembers)	Constructs a RandomForestTrainer with the default seed Trainer.DEFAULT_SEED.
	RandomForestTrainer(DecisionTreeTrainer<T> trainer, EnsembleCombiner<T> combiner, int numMembers, long seed)	Constructs a RandomForestTrainer with the supplied seed, trainer, combining function and number of members.

Uses of DecisionTreeTrainer in org.tribuo.regression.rtree

Classes in org.tribuo.regression.rtree that implement DecisionTreeTrainer

Modifier and Type	Class	Description
class	CARTJointRegressionTrainer	A Trainer that uses an approximation of the CART algorithm to build a decision tree.
final class	CARTRegressionTrainer	A Trainer that uses an approximation of the CART algorithm to build a decision tree.