edu.uci.jforests.learning.trees.decision

Class DecisionTree

java.lang.Object

edu.uci.jforests.learning.trees.Tree

edu.uci.jforests.learning.trees.decision.DecisionTree

All Implemented Interfaces:

java.lang.Cloneable

public class DecisionTree
extends Tree

Field Summary

Fields inherited from class edu.uci.jforests.learning.trees.Tree

numLeaves

Constructor Summary

Constructors

Constructor and Description
DecisionTree()

Method Summary

Modifier and Type	Method and Description
void	backfit(Sample sample)
int	classify(Dataset dataset, int instanceIndex)
java.lang.Object	clone()
double[]	getDistributionForInstance(Dataset dataset, int instanceIndex)
double[]	getLeafTargetDistribution(int leaf)
int[]	getPredictions(Dataset dataset)
void	init(int maxLeaves, int numClasses)
void	loadCustomData(java.lang.String str)
void	setLeafTargetDistribution(int leaf, double[] dist)
int	split(int leaf, TreeSplit split) turns a leaf of the tree into an internal node with two leaf-children

Methods inherited from class edu.uci.jforests.learning.trees.Tree

getLeaf, getLeafFromOriginalThreshold, getLeafFromOriginalThreshold, getLeftChild, getNodeParents, getOriginalThreshold, getParent, getRightChild, getSplitFeature, getThreshold, init, loadFromString, loadLeavesInSubtree, setLeftChild, setRightChild, toString

Methods inherited from class java.lang.Object

equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

DecisionTree

public DecisionTree()

Method Detail

clone

public java.lang.Object clone()

Overrides:

clone in class java.lang.Object

init

public void init(int maxLeaves,
                 int numClasses)

getLeafTargetDistribution

public double[] getLeafTargetDistribution(int leaf)

setLeafTargetDistribution

public void setLeafTargetDistribution(int leaf,
                                      double[] dist)

classify

public int classify(Dataset dataset,
                    int instanceIndex)

getDistributionForInstance

public double[] getDistributionForInstance(Dataset dataset,
                                           int instanceIndex)

getPredictions

public int[] getPredictions(Dataset dataset)

split

public int split(int leaf,
                 TreeSplit split)

turns a leaf of the tree into an internal node with two leaf-children

Overrides:

split in class Tree

loadCustomData

public void loadCustomData(java.lang.String str)
                    throws java.lang.Exception

Specified by:

loadCustomData in class Tree

Throws:

java.lang.Exception

backfit

public void backfit(Sample sample)

Specified by:

backfit in class Tree