Uses of Class
org.tribuo.common.tree.AbstractTrainingNode

Packages that use AbstractTrainingNode

Package	Description
org.tribuo.classification.dtree	Provides implementations of decision trees for classification problems.
org.tribuo.classification.dtree.impl	Provides internal implementation classes for classification decision trees.
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.
org.tribuo.regression.rtree.impl	Provides internal implementation classes for the regression trees.

Uses of AbstractTrainingNode in org.tribuo.classification.dtree

Methods in org.tribuo.classification.dtree that return AbstractTrainingNode

Modifier and Type	Method and Description
protected AbstractTrainingNode<Label>	CARTClassificationTrainer.mkTrainingNode(Dataset<Label> examples, AbstractTrainingNode.LeafDeterminer leafDeterminer)

Uses of AbstractTrainingNode in org.tribuo.classification.dtree.impl

Subclasses of AbstractTrainingNode in org.tribuo.classification.dtree.impl

Modifier and Type	Class and Description
class	ClassifierTrainingNode A decision tree node used at training time.

Methods in org.tribuo.classification.dtree.impl that return types with arguments of type AbstractTrainingNode

Modifier and Type	Method and Description
List<AbstractTrainingNode<Label>>	ClassifierTrainingNode.buildRandomTree(int[] featureIDs, SplittableRandom rng) Builds a CART tree with randomly chosen split points.
List<AbstractTrainingNode<Label>>	ClassifierTrainingNode.buildTree(int[] featureIDs, SplittableRandom rng, boolean useRandomSplitPoints) Builds a tree according to CART (as it does not do multi-way splits on categorical values like C4.5).

Uses of AbstractTrainingNode in org.tribuo.common.tree

Methods in org.tribuo.common.tree that return AbstractTrainingNode

Modifier and Type	Method and Description
protected abstract AbstractTrainingNode<T>	AbstractCARTTrainer.mkTrainingNode(Dataset<T> examples, AbstractTrainingNode.LeafDeterminer leafDeterminer)

Methods in org.tribuo.common.tree that return types with arguments of type AbstractTrainingNode

Modifier and Type	Method and Description
abstract List<AbstractTrainingNode<T>>	AbstractTrainingNode.buildTree(int[] featureIDs, SplittableRandom rng, boolean useRandomSplitPoints) Builds next level of a tree.

Uses of AbstractTrainingNode in org.tribuo.regression.rtree

Methods in org.tribuo.regression.rtree that return AbstractTrainingNode

Modifier and Type	Method and Description
protected AbstractTrainingNode<Regressor>	CARTRegressionTrainer.mkTrainingNode(Dataset<Regressor> examples, AbstractTrainingNode.LeafDeterminer leafDeterminer)
protected AbstractTrainingNode<Regressor>	CARTJointRegressionTrainer.mkTrainingNode(Dataset<Regressor> examples, AbstractTrainingNode.LeafDeterminer leafDeterminer)

Uses of AbstractTrainingNode in org.tribuo.regression.rtree.impl

Subclasses of AbstractTrainingNode in org.tribuo.regression.rtree.impl

Modifier and Type	Class and Description
class	JointRegressorTrainingNode A decision tree node used at training time.
class	RegressorTrainingNode A decision tree node used at training time.

Methods in org.tribuo.regression.rtree.impl that return types with arguments of type AbstractTrainingNode

Modifier and Type	Method and Description
List<AbstractTrainingNode<Regressor>>	RegressorTrainingNode.buildTree(int[] featureIDs, SplittableRandom rng, boolean useRandomSplitPoints) Builds a tree according to CART (as it does not do multi-way splits on categorical values like C4.5).
List<AbstractTrainingNode<Regressor>>	JointRegressorTrainingNode.buildTree(int[] featureIDs, SplittableRandom rng, boolean useRandomSplitPoints) Builds a tree according to CART (as it does not do multi-way splits on categorical values like C4.5).