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Class weka.classifiers.j48.Distribution 

java.lang.Object
   |
   +----weka.classifiers.j48.Distribution
public class Distribution
extends Object
implements Cloneable, Serializable
Class for handling a distribution of class values.

Version:
$Revision: 1.3 $
Author:
Eibe Frank (eibe@cs.waikato.ac.nz)

Constructor Index

o Distribution(Distribution)
Creates distribution with only one bag by merging all bags of given distribution.
o Distribution(Distribution, int)
Creates distribution with two bags by merging all bags apart of the indicated one.
o Distribution(double[][])
Creates and initializes a new distribution using the given array.
o Distribution(Instances)
Creates a distribution with only one bag according to instances in source.
o Distribution(Instances, ClassifierSplitModel)
Creates a distribution according to given instances and split model.
o Distribution(int, int)
Creates and initializes a new distribution.

Method Index

o actualNumBags()
Returns number of non-empty bags of distribution.
o actualNumClasses()
Returns number of classes actually occuring in distribution.
o actualNumClasses(int)
Returns number of classes actually occuring in given bag.
o add(int, double[])
Adds counts to given bag.
o add(int, Instance)
Adds given instance to given bag.
o addInstWithUnknown(Instances, int)
Adds all instances with unknown values for given attribute, weighted according to frequency of instances in each bag.
o addRange(int, Instances, int, int)
Adds all instances in given range to given bag.
o addWeights(Instance, double[])
Adds given instance to all bags weighting it according to given weights.
o check(double)
Checks if at least two bags contain a minimum number of instances.
o clone()
Clones distribution (Deep copy of distribution).
o del(int, Instance)
Deletes given instance from given bag.
o delRange(int, Instances, int, int)
Deletes all instances in given range from given bag.
o dumpDistribution()
Prints distribution.
o initialize()
Sets all counts to zero.
o matrix()
Returns matrix with distribution of class values.
o maxBag()
Returns index of bag containing maximum number of instances.
o maxClass()
Returns class with highest frequency over all bags.
o maxClass(int)
Returns class with highest frequency for given bag.
o numBags()
Returns number of bags.
o numClasses()
Returns number of classes.
o numCorrect()
Returns perClass(maxClass()).
o numCorrect(int)
Returns perClassPerBag(index,maxClass(index)).
o numIncorrect()
Returns total-numCorrect().
o numIncorrect(int)
Returns perBag(index)-numCorrect(index).
o perBag(int)
Returns number of (possibly fractional) instances in given bag.
o perClass(int)
Returns number of (possibly fractional) instances of given class.
o perClassPerBag(int, int)
Returns number of (possibly fractional) instances of given class in given bag.
o prob(int)
Returns relative frequency of class over all bags.
o prob(int, int)
Returns relative frequency of class for given bag.
o shift(int, int, Instance)
Shifts given instance from one bag to another one.
o shiftRange(int, int, Instances, int, int)
Shifts all instances in given range from one bag to another one.
o sub(int, Instance)
Subtracts given instance from given bag.
o subtract(Distribution)
Subtracts the given distribution from this one.
o total()
Returns total number of (possibly fractional) instances.

Constructors

o Distribution 
 public Distribution(int numBags,
                     int numClasses)
Creates and initializes a new distribution.

o Distribution 
 public Distribution(double table[][])
Creates and initializes a new distribution using the given array. WARNING: it just copies a reference to this array.

o Distribution 
 public Distribution(Instances source) throws Exception
Creates a distribution with only one bag according to instances in source.

Throws: Exception
if something goes wrong
o Distribution 
 public Distribution(Instances source,
                     ClassifierSplitModel modelToUse) throws Exception
Creates a distribution according to given instances and split model.

Throws: Exception
if something goes wrong
o Distribution 
 public Distribution(Distribution toMerge)
Creates distribution with only one bag by merging all bags of given distribution.

o Distribution 
 public Distribution(Distribution toMerge,
                     int index)
Creates distribution with two bags by merging all bags apart of the indicated one.

Methods

o actualNumBags 
 public final int actualNumBags()
Returns number of non-empty bags of distribution.

o actualNumClasses 
 public final int actualNumClasses()
Returns number of classes actually occuring in distribution.

o actualNumClasses 
 public final int actualNumClasses(int bagIndex)
Returns number of classes actually occuring in given bag.

o add 
 public final void add(int bagIndex,
                       Instance instance) throws Exception
Adds given instance to given bag.

Throws: Exception
if something goes wrong
o sub 
 public final void sub(int bagIndex,
                       Instance instance) throws Exception
Subtracts given instance from given bag.

Throws: Exception
if something goes wrong
o add 
 public final void add(int bagIndex,
                       double counts[])
Adds counts to given bag.

o addInstWithUnknown 
 public final void addInstWithUnknown(Instances source,
                                      int attIndex) throws Exception
Adds all instances with unknown values for given attribute, weighted according to frequency of instances in each bag.

Throws: Exception
if something goes wrong
o addRange 
 public final void addRange(int bagIndex,
                            Instances source,
                            int startIndex,
                            int lastPlusOne) throws Exception
Adds all instances in given range to given bag.

Throws: Exception
if something goes wrong
o addWeights 
 public final void addWeights(Instance instance,
                              double weights[]) throws Exception
Adds given instance to all bags weighting it according to given weights.

Throws: Exception
if something goes wrong
o check 
 public final boolean check(double minNoObj)
Checks if at least two bags contain a minimum number of instances.

o clone 
 public final Object clone()
Clones distribution (Deep copy of distribution).

Overrides:
clone in class Object
o del 
 public final void del(int bagIndex,
                       Instance instance) throws Exception
Deletes given instance from given bag.

Throws: Exception
if something goes wrong
o delRange 
 public final void delRange(int bagIndex,
                            Instances source,
                            int startIndex,
                            int lastPlusOne) throws Exception
Deletes all instances in given range from given bag.

Throws: Exception
if something goes wrong
o dumpDistribution 
 public final String dumpDistribution()
Prints distribution.

o initialize 
 public final void initialize()
Sets all counts to zero.

o matrix 
 public final double[][] matrix()
Returns matrix with distribution of class values.

o maxBag 
 public final int maxBag()
Returns index of bag containing maximum number of instances.

o maxClass 
 public final int maxClass()
Returns class with highest frequency over all bags.

o maxClass 
 public final int maxClass(int index)
Returns class with highest frequency for given bag.

o numBags 
 public final int numBags()
Returns number of bags.

o numClasses 
 public final int numClasses()
Returns number of classes.

o numCorrect 
 public final double numCorrect()
Returns perClass(maxClass()).

o numCorrect 
 public final double numCorrect(int index)
Returns perClassPerBag(index,maxClass(index)).

o numIncorrect 
 public final double numIncorrect()
Returns total-numCorrect().

o numIncorrect 
 public final double numIncorrect(int index)
Returns perBag(index)-numCorrect(index).

o perClassPerBag 
 public final double perClassPerBag(int bagIndex,
                                    int classIndex)
Returns number of (possibly fractional) instances of given class in given bag.

o perBag 
 public final double perBag(int bagIndex)
Returns number of (possibly fractional) instances in given bag.

o perClass 
 public final double perClass(int classIndex)
Returns number of (possibly fractional) instances of given class.

o prob 
 public final double prob(int classIndex)
Returns relative frequency of class over all bags.

o prob 
 public final double prob(int classIndex,
                          int intIndex)
Returns relative frequency of class for given bag.

o subtract 
 public final Distribution subtract(Distribution toSubstract)
Subtracts the given distribution from this one. The results has only one bag.

o total 
 public final double total()
Returns total number of (possibly fractional) instances.

o shift 
 public final void shift(int from,
                         int to,
                         Instance instance) throws Exception
Shifts given instance from one bag to another one.

Throws: Exception
if something goes wrong
o shiftRange 
 public final void shiftRange(int from,
                              int to,
                              Instances source,
                              int startIndex,
                              int lastPlusOne) throws Exception
Shifts all instances in given range from one bag to another one.

Throws: Exception
if something goes wrong 
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