Uses of Class
weka.classifiers.trees.adtree.PredictionNode

Packages that use PredictionNode

weka.classifiers.trees
weka.classifiers.trees.adtree

Uses of PredictionNode in weka.classifiers.trees

Fields in weka.classifiers.trees declared as PredictionNode

protected PredictionNode	ADTree.m_root The root of the tree
protected PredictionNode	ADTree.m_search_bestInsertionNode The best node to insert under, as found so far by the latest search

Methods in weka.classifiers.trees with parameters of type PredictionNode

private void	ADTree.searchForBestTestSingle(PredictionNode currentNode, Instances posInstances, Instances negInstances) Recursive function that carries out search for the best test (splitter) to add to this part of the tree, by aiming to minimize the Z value.
private void	ADTree.goDownAllPathsSingle(PredictionNode currentNode, Instances posInstances, Instances negInstances) Continues single (two-class optimized) search by investigating every node in the subtree under currentNode.
private void	ADTree.goDownHeaviestPathSingle(PredictionNode currentNode, Instances posInstances, Instances negInstances) Continues single (two-class optimized) search by investigating only the path with the most heavily weighted instances.
private void	ADTree.goDownZpurePathSingle(PredictionNode currentNode, Instances posInstances, Instances negInstances) Continues single (two-class optimized) search by investigating only the path with the best Z-pure value at each branch.
private void	ADTree.goDownRandomPathSingle(PredictionNode currentNode, Instances posInstances, Instances negInstances) Continues single (two-class optimized) search by investigating a random path.
private void	ADTree.evaluateNominalSplitSingle(int attIndex, PredictionNode currentNode, Instances posInstances, Instances negInstances) Investigates the option of introducing a nominal split under currentNode.
private void	ADTree.evaluateNumericSplitSingle(int attIndex, PredictionNode currentNode, Instances posInstances, Instances negInstances, Instances allInstances) Investigates the option of introducing a two-way numeric split under currentNode.
protected double	ADTree.predictionValueForInstance(Instance inst, PredictionNode currentNode, double currentValue) Returns the class prediction value (vote) for an instance.
protected java.lang.String	ADTree.toString(PredictionNode currentNode, int level) Traverses the tree, forming a string that describes it.
protected void	ADTree.graphTraverse(PredictionNode currentNode, java.lang.StringBuffer text, int splitOrder, int predOrder, Instances instances) Traverses the tree, graphing each node.
protected int	ADTree.numOfAllNodes(PredictionNode root) Returns the total number of nodes in a tree.
protected int	ADTree.numOfPredictionNodes(PredictionNode root) Returns the number of prediction nodes in a tree.
protected int	ADTree.numOfPredictionLeafNodes(PredictionNode root) Returns the number of leaf nodes in a tree - prediction nodes without children.

Uses of PredictionNode in weka.classifiers.trees.adtree

Fields in weka.classifiers.trees.adtree declared as PredictionNode

private PredictionNode[]	TwoWayNominalSplit.children The children of this split
private PredictionNode[]	TwoWayNumericSplit.children The children of this split

Methods in weka.classifiers.trees.adtree that return PredictionNode

abstract PredictionNode	Splitter.getChildForBranch(int branchNum) Gets the child for a branch of the split.
PredictionNode	TwoWayNominalSplit.getChildForBranch(int branchNum) Gets the child for a branch of the split.
PredictionNode	TwoWayNumericSplit.getChildForBranch(int branchNum) Gets the child for a branch of the split.

Methods in weka.classifiers.trees.adtree with parameters of type PredictionNode

void	PredictionNode.merge(PredictionNode merger, ADTree mergingTo) Merges this node with another.
abstract void	Splitter.setChildForBranch(int branchNum, PredictionNode childPredictor) Sets the child for a branch of the split.
void	TwoWayNominalSplit.setChildForBranch(int branchNum, PredictionNode childPredictor) Sets the child for a branch of the split.
void	TwoWayNumericSplit.setChildForBranch(int branchNum, PredictionNode childPredictor) Sets the child for a branch of the split.