weka.classifiers.trees.ht

Class ActiveHNode

java.lang.Object

weka.classifiers.trees.ht.HNode

weka.classifiers.trees.ht.LeafNode

weka.classifiers.trees.ht.ActiveHNode

All Implemented Interfaces:

java.io.Serializable, LearningNode

Direct Known Subclasses:

NBNode

public class ActiveHNode
extends LeafNode
implements LearningNode, java.io.Serializable

Node that is "active" (i.e. growth can occur) in a Hoeffding tree

See Also:

Serialized Form

Field Summary

Fields

Modifier and Type	Field and Description
double	m_weightSeenAtLastSplitEval The weight of instances seen at the last split evaluation

Fields inherited from class weka.classifiers.trees.ht.LeafNode

m_parentBranch, m_parentNode, m_theNode

Fields inherited from class weka.classifiers.trees.ht.HNode

m_classDistribution

Constructor Summary

Constructors

Constructor and Description
ActiveHNode()

Method Summary

Modifier and Type	Method and Description
java.util.List<SplitCandidate>	getPossibleSplits(SplitMetric splitMetric) Returns a list of split candidates
void	updateNode(Instance inst) Update the node with the supplied instance

Methods inherited from class weka.classifiers.trees.ht.HNode

classDistributionIsPure, getDistribution, graphTree, installNodeNums, isLeaf, leafForInstance, numEntriesInClassDistribution, toString, totalWeight, updateDistribution

Methods inherited from class java.lang.Object

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

Field Detail

m_weightSeenAtLastSplitEval

public double m_weightSeenAtLastSplitEval

The weight of instances seen at the last split evaluation

Constructor Detail

ActiveHNode

public ActiveHNode()

Method Detail

updateNode

public void updateNode(Instance inst)
                throws java.lang.Exception

Description copied from class: HNode

Update the node with the supplied instance

Overrides:

updateNode in class LeafNode

Parameters:

inst - the instance to update with

Throws:

java.lang.Exception - if a problem occurs

getPossibleSplits

public java.util.List<SplitCandidate> getPossibleSplits(SplitMetric splitMetric)

Returns a list of split candidates

Parameters:

splitMetric - the splitting metric to use

Returns:

a list of split candidates