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Class weka.classifiers.j48.Distribution
java.lang.Object
|
+----weka.classifiers.j48.Distribution
- public class Distribution
- extends java.lang.Object
- implements java.lang.Cloneable, java.io.Serializable
Class for handling a distribution of class values.
- Version:
- $Revision: 1.6 $
- Author:
- Eibe Frank (eibe@cs.waikato.ac.nz)
Distribution(Distribution)
- Creates distribution with only one bag by merging all
bags of given distribution.
Distribution(Distribution, int)
- Creates distribution with two bags by merging all bags apart of
the indicated one.
Distribution(double[][])
- Creates and initializes a new distribution using the given
array.
Distribution(Instances)
- Creates a distribution with only one bag according
to instances in source.
Distribution(Instances, ClassifierSplitModel)
- Creates a distribution according to given instances and
split model.
Distribution(int, int)
- Creates and initializes a new distribution.
actualNumBags()
- Returns number of non-empty bags of distribution.
actualNumClasses()
- Returns number of classes actually occuring in distribution.
actualNumClasses(int)
- Returns number of classes actually occuring in given bag.
add(int, double[])
- Adds counts to given bag.
add(int, Instance)
- Adds given instance to given bag.
addInstWithUnknown(Instances, int)
- Adds all instances with unknown values for given attribute, weighted
according to frequency of instances in each bag.
addRange(int, Instances, int, int)
- Adds all instances in given range to given bag.
addWeights(Instance, double[])
- Adds given instance to all bags weighting it according to given weights.
check(double)
- Checks if at least two bags contain a minimum number of instances.
clone()
- Clones distribution (Deep copy of distribution).
del(int, Instance)
- Deletes given instance from given bag.
delRange(int, Instances, int, int)
- Deletes all instances in given range from given bag.
dumpDistribution()
- Prints distribution.
initialize()
- Sets all counts to zero.
laplaceProb(int)
- Returns relative frequency of class over all bags with
Laplace correction.
laplaceProb(int, int)
- Returns relative frequency of class for given bag.
matrix()
- Returns matrix with distribution of class values.
maxBag()
- Returns index of bag containing maximum number of instances.
maxClass()
- Returns class with highest frequency over all bags.
maxClass(int)
- Returns class with highest frequency for given bag.
numBags()
- Returns number of bags.
numClasses()
- Returns number of classes.
numCorrect()
- Returns perClass(maxClass()).
numCorrect(int)
- Returns perClassPerBag(index,maxClass(index)).
numIncorrect()
- Returns total-numCorrect().
numIncorrect(int)
- Returns perBag(index)-numCorrect(index).
perBag(int)
- Returns number of (possibly fractional) instances in given bag.
perClass(int)
- Returns number of (possibly fractional) instances of given class.
perClassPerBag(int, int)
- Returns number of (possibly fractional) instances of given class in
given bag.
prob(int)
- Returns relative frequency of class over all bags.
prob(int, int)
- Returns relative frequency of class for given bag.
shift(int, int, Instance)
- Shifts given instance from one bag to another one.
shiftRange(int, int, Instances, int, int)
- Shifts all instances in given range from one bag to another one.
sub(int, Instance)
- Subtracts given instance from given bag.
subtract(Distribution)
- Subtracts the given distribution from this one.
total()
- Returns total number of (possibly fractional) instances.
Distribution
public Distribution(int numBags,
int numClasses)
Creates and initializes a new distribution.
Distribution
public Distribution(double table[][])
Creates and initializes a new distribution using the given
array. WARNING: it just copies a reference to this array.
Distribution
public Distribution(Instances source) throws java.lang.Exception
Creates a distribution with only one bag according
to instances in source.
- Throws:
- java.lang.Exception - if something goes wrong
Distribution
public Distribution(Instances source,
ClassifierSplitModel modelToUse) throws java.lang.Exception
Creates a distribution according to given instances and
split model.
- Throws:
- java.lang.Exception - if something goes wrong
Distribution
public Distribution(Distribution toMerge)
Creates distribution with only one bag by merging all
bags of given distribution.
Distribution
public Distribution(Distribution toMerge,
int index)
Creates distribution with two bags by merging all bags apart of
the indicated one.
actualNumBags
public final int actualNumBags()
Returns number of non-empty bags of distribution.
actualNumClasses
public final int actualNumClasses()
Returns number of classes actually occuring in distribution.
actualNumClasses
public final int actualNumClasses(int bagIndex)
Returns number of classes actually occuring in given bag.
add
public final void add(int bagIndex,
Instance instance) throws java.lang.Exception
Adds given instance to given bag.
- Throws:
- java.lang.Exception - if something goes wrong
sub
public final void sub(int bagIndex,
Instance instance) throws java.lang.Exception
Subtracts given instance from given bag.
- Throws:
- java.lang.Exception - if something goes wrong
add
public final void add(int bagIndex,
double counts[])
Adds counts to given bag.
addInstWithUnknown
public final void addInstWithUnknown(Instances source,
int attIndex) throws java.lang.Exception
Adds all instances with unknown values for given attribute, weighted
according to frequency of instances in each bag.
- Throws:
- java.lang.Exception - if something goes wrong
addRange
public final void addRange(int bagIndex,
Instances source,
int startIndex,
int lastPlusOne) throws java.lang.Exception
Adds all instances in given range to given bag.
- Throws:
- java.lang.Exception - if something goes wrong
addWeights
public final void addWeights(Instance instance,
double weights[]) throws java.lang.Exception
Adds given instance to all bags weighting it according to given weights.
- Throws:
- java.lang.Exception - if something goes wrong
check
public final boolean check(double minNoObj)
Checks if at least two bags contain a minimum number of instances.
clone
public final java.lang.Object clone()
Clones distribution (Deep copy of distribution).
del
public final void del(int bagIndex,
Instance instance) throws java.lang.Exception
Deletes given instance from given bag.
- Throws:
- java.lang.Exception - if something goes wrong
delRange
public final void delRange(int bagIndex,
Instances source,
int startIndex,
int lastPlusOne) throws java.lang.Exception
Deletes all instances in given range from given bag.
- Throws:
- java.lang.Exception - if something goes wrong
dumpDistribution
public final java.lang.String dumpDistribution()
Prints distribution.
initialize
public final void initialize()
Sets all counts to zero.
matrix
public final double[][] matrix()
Returns matrix with distribution of class values.
maxBag
public final int maxBag()
Returns index of bag containing maximum number of instances.
maxClass
public final int maxClass()
Returns class with highest frequency over all bags.
maxClass
public final int maxClass(int index)
Returns class with highest frequency for given bag.
numBags
public final int numBags()
Returns number of bags.
numClasses
public final int numClasses()
Returns number of classes.
numCorrect
public final double numCorrect()
Returns perClass(maxClass()).
numCorrect
public final double numCorrect(int index)
Returns perClassPerBag(index,maxClass(index)).
numIncorrect
public final double numIncorrect()
Returns total-numCorrect().
numIncorrect
public final double numIncorrect(int index)
Returns perBag(index)-numCorrect(index).
perClassPerBag
public final double perClassPerBag(int bagIndex,
int classIndex)
Returns number of (possibly fractional) instances of given class in
given bag.
perBag
public final double perBag(int bagIndex)
Returns number of (possibly fractional) instances in given bag.
perClass
public final double perClass(int classIndex)
Returns number of (possibly fractional) instances of given class.
laplaceProb
public final double laplaceProb(int classIndex)
Returns relative frequency of class over all bags with
Laplace correction.
laplaceProb
public final double laplaceProb(int classIndex,
int intIndex)
Returns relative frequency of class for given bag.
prob
public final double prob(int classIndex)
Returns relative frequency of class over all bags.
prob
public final double prob(int classIndex,
int intIndex)
Returns relative frequency of class for given bag.
subtract
public final Distribution subtract(Distribution toSubstract)
Subtracts the given distribution from this one. The results
has only one bag.
total
public final double total()
Returns total number of (possibly fractional) instances.
shift
public final void shift(int from,
int to,
Instance instance) throws java.lang.Exception
Shifts given instance from one bag to another one.
- Throws:
- java.lang.Exception - if something goes wrong
shiftRange
public final void shiftRange(int from,
int to,
Instances source,
int startIndex,
int lastPlusOne) throws java.lang.Exception
Shifts all instances in given range from one bag to another one.
- Throws:
- java.lang.Exception - if something goes wrong
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