Uses of Class
gov.sandia.cognition.learning.algorithm.tree.AbstractDecisionTreeNode

Packages that use AbstractDecisionTreeNode

Package	Description
gov.sandia.cognition.learning.algorithm.tree	Provides decision tree learning algorithms.

Uses of AbstractDecisionTreeNode in gov.sandia.cognition.learning.algorithm.tree

Subclasses of AbstractDecisionTreeNode in gov.sandia.cognition.learning.algorithm.tree

Modifier and Type	Class and Description
class	CategorizationTreeNode<InputType,OutputType,InteriorType> The CategorizationTreeNode implements a DecisionTreeNode for a tree that does categorization.
class	RegressionTreeNode<InputType,InteriorType> The RegressionTreeNode implements a DecisionTreeNode for a tree that does regression.

Methods in gov.sandia.cognition.learning.algorithm.tree that return AbstractDecisionTreeNode

Modifier and Type	Method and Description
AbstractDecisionTreeNode<InputType,OutputType,InteriorType>	AbstractDecisionTreeNode.clone()
protected abstract AbstractDecisionTreeNode<InputType,OutputType,?>	AbstractDecisionTreeLearner.learnNode(java.util.Collection<? extends InputOutputPair<? extends InputType,OutputType>> data, AbstractDecisionTreeNode<InputType,OutputType,?> parent) Recursively learns the decision tree using the given collection of data, returning the created node.

Methods in gov.sandia.cognition.learning.algorithm.tree with parameters of type AbstractDecisionTreeNode

Modifier and Type	Method and Description
protected <DecisionType> void	AbstractDecisionTreeLearner.learnChildNodes(AbstractDecisionTreeNode<InputType,OutputType,DecisionType> node, java.util.Collection<? extends InputOutputPair<? extends InputType,OutputType>> data, Categorizer<? super InputType,? extends DecisionType> decider) Learns the child nodes for a node using the given data at the node plus the decision function for the node.
protected RegressionTreeNode<InputType,?>	RegressionTreeLearner.learnNode(java.util.Collection<? extends InputOutputPair<? extends InputType,java.lang.Double>> data, AbstractDecisionTreeNode<InputType,java.lang.Double,?> parent) Recursively learns the regression tree using the given collection of data, returning the created node.
protected abstract AbstractDecisionTreeNode<InputType,OutputType,?>	AbstractDecisionTreeLearner.learnNode(java.util.Collection<? extends InputOutputPair<? extends InputType,OutputType>> data, AbstractDecisionTreeNode<InputType,OutputType,?> parent) Recursively learns the decision tree using the given collection of data, returning the created node.
protected CategorizationTreeNode<InputType,OutputType,?>	CategorizationTreeLearner.learnNode(java.util.Collection<? extends InputOutputPair<? extends InputType,OutputType>> data, AbstractDecisionTreeNode<InputType,OutputType,?> parent) Recursively learns the categorization tree using the given collection of data, returning the created node.