java.lang.Object
- weka.classifiers.trees.j48.ClassifierSplitModel
- - weka.classifiers.trees.lmt.ResidualSplit

All Implemented Interfaces:

java.io.Serializable, java.lang.Cloneable, RevisionHandler
```
public class ResidualSplit
extends ClassifierSplitModel
```
Helper class for logistic model trees (weka.classifiers.trees.lmt.LMT) to implement the splitting criterion based on residuals of the LogitBoost algorithm.

Version:

$Revision: 1.4 $

Author:

Niels Landwehr

See Also:

Serialized Form

Constructor Summary

Constructors
Constructor Description

ResidualSplit(int attIndex)
Creates a split object

Method Summary

All Methods Instance Methods Concrete Methods
Modifier and Type	Method	Description
`void`	`buildClassifier(Instances data)`	Method not in use
`void`	`buildClassifier(Instances data, double[][] dataZs, double[][] dataWs)`	Builds the split.
`boolean`	`checkModel(int minNumInstances)`	Checks if there are at least 2 subsets that contain >= minNumInstances.
`double`	`entropyGain()`	Computes entropy gain for current split.
`java.lang.String`	`getRevision()`	Returns the revision string.
`java.lang.String`	`leftSide(Instances data)`	Returns name of splitting attribute (left side of condition).
`java.lang.String`	`rightSide(int index, Instances data)`	Prints the condition satisfied by instances in a subset.
`java.lang.String`	`sourceExpression(int index, Instances data)`	Method not in use
`double[]`	`weights(Instance instance)`	Method not in use
`int`	`whichSubset(Instance instance)`	Returns index of subset instance is assigned to.

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

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

- Constructor Detail
  - ResidualSplit
```
public ResidualSplit(int attIndex)
```
    Creates a split object
    
    Parameters:
    
    attIndex - the index of the attribute to split on
- Method Detail
  - buildClassifier
```
public void buildClassifier(Instances data,
                            double[][] dataZs,
                            double[][] dataWs)
                     throws java.lang.Exception
```
    Builds the split. Needs the Z/W values of LogitBoost for the set of instances.
    
    Throws:
    
    java.lang.Exception
  - entropyGain
```
public double entropyGain()
                   throws java.lang.Exception
```
    Computes entropy gain for current split.
    
    Throws:
    
    java.lang.Exception
  - checkModel
```
public boolean checkModel(int minNumInstances)
```
    Checks if there are at least 2 subsets that contain >= minNumInstances.
  - leftSide
```
public final java.lang.String leftSide(Instances data)
```
    Returns name of splitting attribute (left side of condition).
    
    Specified by:
    
    leftSide in class ClassifierSplitModel
    
    Parameters:
    
    data - the data.
  - rightSide
```
public final java.lang.String rightSide(int index,
                                        Instances data)
```
    Prints the condition satisfied by instances in a subset.
    
    Specified by:
    
    rightSide in class ClassifierSplitModel
  - whichSubset
```
public final int whichSubset(Instance instance)
                      throws java.lang.Exception
```
    Description copied from class: ClassifierSplitModel
    
    Returns index of subset instance is assigned to. Returns -1 if instance is assigned to more than one subset.
    
    Specified by:
    
    whichSubset in class ClassifierSplitModel
    
    Throws:
    
    java.lang.Exception - if something goes wrong
  - buildClassifier
```
public void buildClassifier(Instances data)
```
    Method not in use
    
    Specified by:
    
    buildClassifier in class ClassifierSplitModel
  - weights
```
public final double[] weights(Instance instance)
```
    Method not in use
    
    Specified by:
    
    weights in class ClassifierSplitModel
  - sourceExpression
```
public final java.lang.String sourceExpression(int index,
                                               Instances data)
```
    Method not in use
    
    Specified by:
    
    sourceExpression in class ClassifierSplitModel
  - getRevision
```
public java.lang.String getRevision()
```
    Returns the revision string.
    
    Returns:
    
    the revision

Class ResidualSplit

Constructor Summary

Method Summary

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

Methods inherited from class java.lang.Object

Constructor Detail

ResidualSplit

Method Detail

buildClassifier

entropyGain

checkModel

leftSide

rightSide

whichSubset

buildClassifier

weights

sourceExpression

getRevision