Uses of Interface
gov.sandia.cognition.learning.algorithm.tree.DecisionTreeNode

Packages that use DecisionTreeNode

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

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

Classes in gov.sandia.cognition.learning.algorithm.tree that implement DecisionTreeNode

Modifier and Type	Class and Description
class	AbstractDecisionTreeNode<InputType,OutputType,InteriorType> The AbstractDecisionTreeNode class implements common functionality for a decision tree node.
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.

Fields in gov.sandia.cognition.learning.algorithm.tree declared as DecisionTreeNode

Modifier and Type	Field and Description
protected DecisionTreeNode<InputType,OutputType>	AbstractDecisionTreeNode.parent The parent node of this node.
protected DecisionTreeNode<InputType,OutputType>	DecisionTree.rootNode The root node of the decision tree.

Fields in gov.sandia.cognition.learning.algorithm.tree with type parameters of type DecisionTreeNode

Modifier and Type	Field and Description
protected java.util.Map<InteriorType,DecisionTreeNode<InputType,OutputType>>	AbstractDecisionTreeNode.childMap The mapping of decider decision values to child nodes.

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

Modifier and Type	Method and Description
DecisionTreeNode<InputType,OutputType>	AbstractDecisionTreeNode.chooseChild(InputType input)
DecisionTreeNode<InputType,OutputType>	DecisionTreeNode.chooseChild(InputType input) Chooses the child node corresponding to the given input.
DecisionTreeNode<InputType,OutputType>	DecisionTree.findTerminalNode(InputType input) Finds the terminal node for the given input.
DecisionTreeNode<InputType,OutputType>	DecisionTree.findTerminalNode(InputType input, DecisionTreeNode<InputType,OutputType> node) Finds the terminal node for the given input, starting from the given node.
DecisionTreeNode<InputType,OutputType>	AbstractDecisionTreeNode.getParent() Gets the parent node for this node.
DecisionTreeNode<InputType,OutputType>	DecisionTreeNode.getParent() Gets the parent node for this node.
DecisionTreeNode<InputType,OutputType>	DecisionTree.getRootNode() Gets the root node of the decision tree.

Methods in gov.sandia.cognition.learning.algorithm.tree that return types with arguments of type DecisionTreeNode

Modifier and Type	Method and Description
java.util.Map<InteriorType,DecisionTreeNode<InputType,OutputType>>	AbstractDecisionTreeNode.getChildMap() Gets the mapping of decision values to child nodes.
java.util.Collection<? extends DecisionTreeNode<InputType,OutputType>>	AbstractDecisionTreeNode.getChildren()
java.util.Collection<? extends DecisionTreeNode<InputType,OutputType>>	DecisionTreeNode.getChildren() Gets the collection of children of the node.

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

Modifier and Type	Method and Description
void	AbstractDecisionTreeNode.addChild(InteriorType value, DecisionTreeNode<InputType,OutputType> child) Adds a child for a given interior type.
OutputType	DecisionTree.evaluateNode(InputType input, DecisionTreeNode<InputType,OutputType> node) Evaluates an input against the given node of a decision tree, using recursion to come up with the answer.
DecisionTreeNode<InputType,OutputType>	DecisionTree.findTerminalNode(InputType input, DecisionTreeNode<InputType,OutputType> node) Finds the terminal node for the given input, starting from the given node.
void	AbstractDecisionTreeNode.setParent(DecisionTreeNode<InputType,OutputType> parent) Sets the parent node for this node.
void	DecisionTree.setRootNode(DecisionTreeNode<InputType,OutputType> rootNode) Sets the root node of the decision tree.

Method parameters in gov.sandia.cognition.learning.algorithm.tree with type arguments of type DecisionTreeNode

Modifier and Type	Method and Description
protected void	AbstractDecisionTreeNode.setChildMap(java.util.Map<InteriorType,DecisionTreeNode<InputType,OutputType>> childMap) Sets the mapping of decision values to child nodes.

Constructors in gov.sandia.cognition.learning.algorithm.tree with parameters of type DecisionTreeNode

Constructor and Description
AbstractDecisionTreeNode(DecisionTreeNode<InputType,OutputType> parent, Categorizer<? super InputType,? extends InteriorType> decider, java.lang.Object incomingValue) Creates a new instance of CategorizationTreeNode.
CategorizationTree(DecisionTreeNode<InputType,OutputType> rootNode, java.util.Set<OutputType> categories) Creates a new instance of CategorizationTree.
CategorizationTreeNode(DecisionTreeNode<InputType,OutputType> parent, Categorizer<? super InputType,? extends InteriorType> decider, OutputType outputCategory, java.lang.Object incomingValue) Creates a new instance of CategorizationTreeNode.
CategorizationTreeNode(DecisionTreeNode<InputType,OutputType> parent, OutputType outputCategory) Creates a new instance of CategorizationTreeNode.
CategorizationTreeNode(DecisionTreeNode<InputType,OutputType> parent, OutputType outputCategory, java.lang.Object incomingValue) Creates a new instance of CategorizationTreeNode.
DecisionTree(DecisionTreeNode<InputType,OutputType> rootNode) Creates a new instance of DecisionTree.
RegressionTree(DecisionTreeNode<InputType,java.lang.Double> rootNode) Creates a new instance of RegressionTree.
RegressionTreeNode(DecisionTreeNode<InputType,java.lang.Double> parent, Categorizer<? super InputType,? extends InteriorType> decider, double value) Creates a new instance of RegressionTreeNode.
RegressionTreeNode(DecisionTreeNode<InputType,java.lang.Double> parent, Categorizer<? super InputType,? extends InteriorType> decider, Evaluator<? super InputType,java.lang.Double> scalarFunction, double value, java.lang.Object incomingValue) Creates a new instance of RegressionTreeNode.
RegressionTreeNode(DecisionTreeNode<InputType,java.lang.Double> parent, double value) Creates a new instance of RegressionTreeNode.
RegressionTreeNode(DecisionTreeNode<InputType,java.lang.Double> parent, Evaluator<? super InputType,java.lang.Double> scalarFunction, double value) Creates a new instance of RegressionTreeNode.
RegressionTreeNode(DecisionTreeNode<InputType,java.lang.Double> parent, Evaluator<? super InputType,java.lang.Double> scalarFunction, double value, java.lang.Object incomingValue) Creates a new instance of RegressionTreeNode.