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

Packages that use Node

Package	Description
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 Node in org.tribuo.classification.dtree.impl

Classes in org.tribuo.classification.dtree.impl that implement Node

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

Methods in org.tribuo.classification.dtree.impl that return Node

Modifier and Type	Method	Description
Node<Label>	ClassifierTrainingNode.convertTree()	Generates a test time tree (made of SplitNode and LeafNode) from the tree rooted at this node.

Uses of Node in org.tribuo.common.tree

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

Modifier and Type	Class	Description
class	AbstractTrainingNode<T extends Output<T>>	Base class for decision tree nodes used at training time.
class	LeafNode<T extends Output<T>>	An immutable leaf Node that can create a prediction.
class	SplitNode<T extends Output<T>>	An immutable Node with a split and two child nodes.

Fields in org.tribuo.common.tree declared as Node

Modifier and Type	Field	Description
protected Node<T>	AbstractTrainingNode.greaterThan
protected Node<T>	AbstractTrainingNode.lessThanOrEqual

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

Modifier and Type	Method	Description
abstract Node<T>	AbstractTrainingNode.convertTree()	Converts a tree from a training representation to the final inference time representation.
Node<T>	AbstractTrainingNode.copy()
Node<T>	Node.copy()	Copies the node and it's children.
Node<T>	SplitNode.copy()
Node<T>	SplitNode.getGreaterThan()	The node used if the value is greater than the splitValue.
Node<T>	SplitNode.getLessThanOrEqual()	The node used if the value is less than or equal to the splitValue.
Node<T>	AbstractTrainingNode.getNextNode(SparseVector example)
Node<T>	LeafNode.getNextNode(SparseVector e)
Node<T>	Node.getNextNode(SparseVector example)	Returns the next node in the tree based on the supplied example, or null if it's a leaf.
Node<T>	SplitNode.getNextNode(SparseVector e)	Return the appropriate child node.
Node<T>	TreeModel.getRoot()	Returns the root node of this tree.

Methods in org.tribuo.common.tree with parameters of type Node

Modifier and Type	Method	Description
protected static <T extends Output<T>> int	TreeModel.computeDepth(int initialDepth, Node<T> root)

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

Modifier	Constructor	Description
	SplitNode(double splitValue, int featureID, double impurity, Node<T> greaterThan, Node<T> lessThanOrEqual)	Constructs a split node with the specified split value, feature id, impurity and child nodes.

Uses of Node in org.tribuo.regression.rtree

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

Modifier and Type	Method	Description
Node<Regressor>	IndependentRegressionTreeModel.getRoot()	Returns null, as this model contains multiple roots, one per regression output dimension.

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

Modifier and Type	Method	Description
Map<String, Node<Regressor>>	IndependentRegressionTreeModel.getRoots()	Returns an unmodifiable view on the root node collection.

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

Classes in org.tribuo.regression.rtree.impl that implement Node

Modifier and Type	Class	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 Node

Modifier and Type	Method	Description
Node<Regressor>	JointRegressorTrainingNode.convertTree()	Generates a test time tree (made of SplitNode and LeafNode) from the tree rooted at this node.
Node<Regressor>	RegressorTrainingNode.convertTree()	Generates a test time tree (made of SplitNode and LeafNode) from the tree rooted at this node.