NBNode

java.lang.Object
- weka.classifiers.trees.ht.HNode
- - weka.classifiers.trees.ht.LeafNode
  - - weka.classifiers.trees.ht.ActiveHNode
    - - weka.classifiers.trees.ht.NBNode

All Implemented Interfaces:

java.io.Serializable, LearningNode

Direct Known Subclasses:

NBNodeAdaptive
```
public class NBNode
extends ActiveHNode
implements LearningNode, java.io.Serializable
```
Implements a LearningNode that uses a naive Bayes model

Version:

$Revision: 9705 $

Author:

Richard Kirkby (rkirkby@cs.waikato.ac.nz), Mark Hall (mhall{[at]}pentaho{[dot]}com)

See Also:

Serialized Form

Field Summary
- Fields inherited from class weka.classifiers.trees.ht.ActiveHNode
  m_weightSeenAtLastSplitEval
- 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 Description

NBNode(Instances header, double nbWeightThreshold)
Construct a new NBNode

Method Summary

All Methods Instance Methods Concrete Methods
Modifier and Type	Method	Description
`double[]`	`getDistribution(Instance inst, Attribute classAtt)`	Return a class probability distribution computed from the frequency counts at this node
`void`	`updateNode(Instance inst)`	Update the node with the supplied instance

Methods inherited from class weka.classifiers.trees.ht.ActiveHNode
getPossibleSplits

Methods inherited from class weka.classifiers.trees.ht.HNode
classDistributionIsPure, graphTree, installNodeNums, isLeaf, leafForInstance, numEntriesInClassDistribution, toString, totalWeight, updateDistribution

Methods inherited from class java.lang.Object
equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

- Constructor Detail
  - NBNode
```
public NBNode(Instances header,
              double nbWeightThreshold)
       throws java.lang.Exception
```
    Construct a new NBNode
    
    Parameters:
    
    header - the instances structure of the data we're learning from
    
    nbWeightThreshold - the weight mass to see before allowing naive Bayes to predict
    
    Throws:
    
    java.lang.Exception - if a problem occurs
- 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 ActiveHNode
    
    Parameters:
    
    inst - the instance to update with
    
    Throws:
    
    java.lang.Exception - if a problem occurs
  - getDistribution
```
public double[] getDistribution(Instance inst,
                                Attribute classAtt)
                         throws java.lang.Exception
```
    Description copied from class: HNode
    
    Return a class probability distribution computed from the frequency counts at this node
    
    Overrides:
    
    getDistribution in class HNode
    
    Parameters:
    
    inst - the instance to get a prediction for
    
    classAtt - the class attribute
    
    Returns:
    
    a class probability distribution
    
    Throws:
    
    java.lang.Exception - if a problem occurs