java.lang.Object
- weka.classifiers.trees.j48.ClassifierSplitModel
- - weka.classifiers.trees.j48.NBTreeNoSplit

All Implemented Interfaces:

java.io.Serializable, java.lang.Cloneable, RevisionHandler
```
public final class NBTreeNoSplit
extends ClassifierSplitModel
```
Class implementing a "no-split"-split (leaf node) for naive bayes trees.

Version:

$Revision: 1.4 $

Author:

Mark Hall (mhall@cs.waikato.ac.nz)

See Also:

Serialized Form

Constructor Summary

Constructors
Constructor Description

NBTreeNoSplit()

Method Summary

All Methods Static Methods Instance Methods Concrete Methods
Modifier and Type	Method	Description
`void`	`buildClassifier(Instances instances)`	Build the no-split node
`double`	`classProb(int classIndex, Instance instance, int theSubset)`	Return the probability for a class value
`static double`	`crossValidate(NaiveBayesUpdateable fullModel, Instances trainingSet, java.util.Random r)`	Utility method for fast 5-fold cross validation of a naive bayes model
`Discretize`	`getDiscretizer()`	Return the discretizer used at this node
`double`	`getErrors()`	Return the errors made by the naive bayes model at this node
`NaiveBayesUpdateable`	`getNaiveBayesModel()`	Get the naive bayes model at this node
`java.lang.String`	`getRevision()`	Returns the revision string.
`java.lang.String`	`leftSide(Instances instances)`	Does nothing because no condition has to be satisfied.
`java.lang.String`	`rightSide(int index, Instances instances)`	Does nothing because no condition has to be satisfied.
`java.lang.String`	`sourceExpression(int index, Instances data)`	Returns a string containing java source code equivalent to the test made at this node.
`java.lang.String`	`toString()`	Return a textual description of the node
`double[]`	`weights(Instance instance)`	Always returns null because there is only one subset.
`int`	`whichSubset(Instance instance)`	Always returns 0 because only there is only one subset.

Methods inherited from class weka.classifiers.trees.j48.ClassifierSplitModel
checkModel, classifyInstance, classProbLaplace, clone, codingCost, distribution, dumpLabel, dumpModel, numSubsets, resetDistribution, sourceClass, split

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

- Constructor Detail
  - NBTreeNoSplit
```
public NBTreeNoSplit()
```
- Method Detail
  - buildClassifier
```
public final void buildClassifier(Instances instances)
                           throws java.lang.Exception
```
    Build the no-split node
    
    Specified by:
    
    buildClassifier in class ClassifierSplitModel
    
    Parameters:
    
    instances - an Instances value
    
    Throws:
    
    java.lang.Exception - if an error occurs
  - getErrors
```
public double getErrors()
```
    Return the errors made by the naive bayes model at this node
    
    Returns:
    
    the number of errors made
  - getDiscretizer
```
public Discretize getDiscretizer()
```
    Return the discretizer used at this node
    
    Returns:
    
    a Discretize value
  - getNaiveBayesModel
```
public NaiveBayesUpdateable getNaiveBayesModel()
```
    Get the naive bayes model at this node
    
    Returns:
    
    a NaiveBayesUpdateable value
  - whichSubset
```
public final int whichSubset(Instance instance)
```
    Always returns 0 because only there is only one subset.
    
    Specified by:
    
    whichSubset in class ClassifierSplitModel
  - weights
```
public final double[] weights(Instance instance)
```
    Always returns null because there is only one subset.
    
    Specified by:
    
    weights in class ClassifierSplitModel
  - leftSide
```
public final java.lang.String leftSide(Instances instances)
```
    Does nothing because no condition has to be satisfied.
    
    Specified by:
    
    leftSide in class ClassifierSplitModel
    
    Parameters:
    
    instances - the data.
  - rightSide
```
public final java.lang.String rightSide(int index,
                                        Instances instances)
```
    Does nothing because no condition has to be satisfied.
    
    Specified by:
    
    rightSide in class ClassifierSplitModel
  - sourceExpression
```
public final java.lang.String sourceExpression(int index,
                                               Instances data)
```
    Returns a string containing java source code equivalent to the test made at this node. The instance being tested is called "i".
    
    Specified by:
    
    sourceExpression in class ClassifierSplitModel
    
    Parameters:
    
    index - index of the nominal value tested
    
    data - the data containing instance structure info
    
    Returns:
    
    a value of type 'String'
  - classProb
```
public double classProb(int classIndex,
                        Instance instance,
                        int theSubset)
                 throws java.lang.Exception
```
    Return the probability for a class value
    
    Overrides:
    
    classProb in class ClassifierSplitModel
    
    Parameters:
    
    classIndex - the index of the class value
    
    instance - the instance to generate a probability for
    
    theSubset - the subset to consider
    
    Returns:
    
    a probability
    
    Throws:
    
    java.lang.Exception - if an error occurs
  - toString
```
public java.lang.String toString()
```
    Return a textual description of the node
    
    Overrides:
    
    toString in class java.lang.Object
    
    Returns:
    
    a String value
  - crossValidate
```
public static double crossValidate(NaiveBayesUpdateable fullModel,
                                   Instances trainingSet,
                                   java.util.Random r)
                            throws java.lang.Exception
```
    Utility method for fast 5-fold cross validation of a naive bayes model
    
    Parameters:
    
    fullModel - a NaiveBayesUpdateable value
    
    trainingSet - an Instances value
    
    r - a Random value
    
    Returns:
    
    a double value
    
    Throws:
    
    java.lang.Exception - if an error occurs
  - getRevision
```
public java.lang.String getRevision()
```
    Returns the revision string.
    
    Returns:
    
    the revision

Class NBTreeNoSplit

Constructor Summary

Method Summary

Methods inherited from class weka.classifiers.trees.j48.ClassifierSplitModel

Methods inherited from class java.lang.Object

Constructor Detail

NBTreeNoSplit

Method Detail

buildClassifier

getErrors

getDiscretizer

getNaiveBayesModel

whichSubset

weights

leftSide

rightSide

sourceExpression

classProb

toString

crossValidate

getRevision