ClassifierSplitModel (original) (raw)

java.lang.Object
- weka.classifiers.trees.j48.ClassifierSplitModel
All Implemented Interfaces:
java.io.Serializable, java.lang.Cloneable, RevisionHandler
Direct Known Subclasses:
BinC45Split, C45Split, GraftSplit, NBTreeNoSplit, NBTreeSplit, NoSplit, ResidualSplit

public abstract class ClassifierSplitModel
extends java.lang.Object
implements java.lang.Cloneable, java.io.Serializable, RevisionHandler
Abstract class for classification models that can be used recursively to split the data.
Version: Revision:1.11Revision: 1.11 Revision:1.11
Author:
Eibe Frank (eibe@cs.waikato.ac.nz)
See Also:
Serialized Form

Constructor Summary

Constructors

Constructor and Description
ClassifierSplitModel()

Method Summary

All Methods Instance Methods Abstract Methods Concrete Methods

Modifier and Type	Method and Description
abstract void	buildClassifier(Instances instances) Builds the classifier split model for the given set of instances.
boolean	checkModel() Checks if generated model is valid.
double	classifyInstance(Instance instance) Classifies a given instance.
double	classProb(int classIndex,Instance instance, int theSubset) Gets class probability for instance.
double	classProbLaplace(int classIndex,Instance instance, int theSubset) Gets class probability for instance.
java.lang.Object	clone() Allows to clone a model (shallow copy).
double	codingCost() Returns coding costs of model.
Distribution	distribution() Returns the distribution of class values induced by the model.
java.lang.String	dumpLabel(int index,Instances data) Prints label for subset index of instances (eg class).
java.lang.String	dumpModel(Instances data) Prints the split model.
abstract java.lang.String	leftSide(Instances data) Prints left side of condition satisfied by instances.
int	numSubsets() Returns the number of created subsets for the split.
void	resetDistribution(Instances data) Sets distribution associated with model.
abstract java.lang.String	rightSide(int index,Instances data) Prints left side of condition satisfied by instances in subset index.
java.lang.String	sourceClass(int index,Instances data)
abstract java.lang.String	sourceExpression(int index,Instances data)
Instances[]	split(Instances data) Splits the given set of instances into subsets.
abstract double[]	weights(Instance instance) Returns weights if instance is assigned to more than one subset.
abstract int	whichSubset(Instance instance) Returns index of subset instance is assigned to.

   * ### Methods inherited from class java.lang.Object  
   `equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait`  
   * ### Methods inherited from interface weka.core.[RevisionHandler](../../../../weka/core/RevisionHandler.html "interface in weka.core")  
   `[getRevision](../../../../weka/core/RevisionHandler.html#getRevision--)`

Constructor Detail

 * #### ClassifierSplitModel  
 public ClassifierSplitModel()

Method Detail

* #### clone  
public java.lang.Object clone()  
Allows to clone a model (shallow copy).  
Overrides:  
`clone` in class `java.lang.Object`  
* #### buildClassifier  
public abstract void buildClassifier([Instances](../../../../weka/core/Instances.html "class in weka.core") instances)  
                              throws java.lang.Exception  
Builds the classifier split model for the given set of instances.  
Throws:  
`java.lang.Exception` \- if something goes wrong  
* #### checkModel  
public final boolean checkModel()  
Checks if generated model is valid.  
* #### classifyInstance  
public final double classifyInstance([Instance](../../../../weka/core/Instance.html "class in weka.core") instance)  
                              throws java.lang.Exception  
Classifies a given instance.  
Throws:  
`java.lang.Exception` \- if something goes wrong  
* #### classProb  
public double classProb(int classIndex,  
                        [Instance](../../../../weka/core/Instance.html "class in weka.core") instance,  
                        int theSubset)  
                 throws java.lang.Exception  
Gets class probability for instance.  
Throws:  
`java.lang.Exception` \- if something goes wrong  
* #### classProbLaplace  
public double classProbLaplace(int classIndex,  
                               [Instance](../../../../weka/core/Instance.html "class in weka.core") instance,  
                               int theSubset)  
                        throws java.lang.Exception  
Gets class probability for instance.  
Throws:  
`java.lang.Exception` \- if something goes wrong  
* #### codingCost  
public double codingCost()  
Returns coding costs of model. Returns 0 if not overwritten.  
* #### distribution  
public final [Distribution](../../../../weka/classifiers/trees/j48/Distribution.html "class in weka.classifiers.trees.j48") distribution()  
Returns the distribution of class values induced by the model.  
* #### leftSide  
public abstract java.lang.String leftSide([Instances](../../../../weka/core/Instances.html "class in weka.core") data)  
Prints left side of condition satisfied by instances.  
Parameters:  
`data` \- the data.  
* #### rightSide  
public abstract java.lang.String rightSide(int index,  
                                           [Instances](../../../../weka/core/Instances.html "class in weka.core") data)  
Prints left side of condition satisfied by instances in subset index.  
* #### dumpLabel  
public final java.lang.String dumpLabel(int index,  
                                        [Instances](../../../../weka/core/Instances.html "class in weka.core") data)  
                                 throws java.lang.Exception  
Prints label for subset index of instances (eg class).  
Throws:  
`java.lang.Exception` \- if something goes wrong  
* #### sourceClass  
public final java.lang.String sourceClass(int index,  
                                          [Instances](../../../../weka/core/Instances.html "class in weka.core") data)  
                                   throws java.lang.Exception  
Throws:  
`java.lang.Exception`  
* #### sourceExpression  
public abstract java.lang.String sourceExpression(int index,  
                                                  [Instances](../../../../weka/core/Instances.html "class in weka.core") data)  
* #### dumpModel  
public final java.lang.String dumpModel([Instances](../../../../weka/core/Instances.html "class in weka.core") data)  
                                 throws java.lang.Exception  
Prints the split model.  
Throws:  
`java.lang.Exception` \- if something goes wrong  
* #### numSubsets  
public final int numSubsets()  
Returns the number of created subsets for the split.  
* #### resetDistribution  
public void resetDistribution([Instances](../../../../weka/core/Instances.html "class in weka.core") data)  
                       throws java.lang.Exception  
Sets distribution associated with model.  
Throws:  
`java.lang.Exception`  
* #### split  
public final [Instances](../../../../weka/core/Instances.html "class in weka.core")[] split([Instances](../../../../weka/core/Instances.html "class in weka.core") data)  
                        throws java.lang.Exception  
Splits the given set of instances into subsets.  
Throws:  
`java.lang.Exception` \- if something goes wrong  
* #### weights  
public abstract double[] weights([Instance](../../../../weka/core/Instance.html "class in weka.core") instance)  
Returns weights if instance is assigned to more than one subset. Returns null if instance is only assigned to one subset.  
* #### whichSubset  
public abstract int whichSubset([Instance](../../../../weka/core/Instance.html "class in weka.core") instance)  
                         throws java.lang.Exception  
Returns index of subset instance is assigned to. Returns -1 if instance is assigned to more than one subset.  
Throws:  
`java.lang.Exception` \- if something goes wrong

ClassifierSplitModel (original) (raw)

Constructor Summary

Method Summary

Constructor Detail

Method Detail