fr.lip6.bag
Class WeightedBagOfVector<T extends MLVector<?>>

java.lang.Object
  java.util.AbstractCollection<E>
      java.util.AbstractList<E>
          java.util.ArrayList<T>
              fr.lip6.bag.BagOfVector<T>
                  fr.lip6.bag.WeightedBagOfVector<T>

Type Parameters:

T - type of vectors in input space.

All Implemented Interfaces:

java.io.Serializable, java.lang.Cloneable, java.lang.Iterable<T>, java.util.Collection<T>, java.util.List<T>, java.util.RandomAccess

public class WeightedBagOfVector<T extends MLVector<?>>
extends BagOfVector<T>

Simple class of bag that associated a weight to each element of the bag. This weight is proportional to the representativity of the elements. ie, it os the inverse of the sum of the similarities between the element and the rest of the bag.

Author:

dpicard

See Also:

Serialized Form

Field Summary

Fields inherited from class java.util.AbstractList

modCount

Constructor Summary

WeightedBagOfVector(Kernel<T> k)
Constructor with kernel argument.

Method Summary

void	computeWeights() Compute the weights for each element of the bag.
double	getWeight(T t) get the weights of a particular element in the bag
double[]	getWeights() get the weights associated with each element of the bag

Methods inherited from class java.util.ArrayList

add, add, addAll, addAll, clear, clone, contains, ensureCapacity, get, indexOf, isEmpty, lastIndexOf, remove, remove, removeRange, set, size, toArray, toArray, trimToSize

Methods inherited from class java.util.AbstractList

equals, hashCode, iterator, listIterator, listIterator, subList

Methods inherited from class java.util.AbstractCollection

containsAll, removeAll, retainAll, toString

Methods inherited from class java.lang.Object

finalize, getClass, notify, notifyAll, wait, wait, wait

Methods inherited from interface java.util.List

containsAll, equals, hashCode, iterator, listIterator, listIterator, removeAll, retainAll, subList

Constructor Detail

WeightedBagOfVector

public WeightedBagOfVector(Kernel<T> k)

Constructor with kernel argument.

Parameters:

k - kernel used to compute the weights.

Method Detail

getWeights

public double[] getWeights()

get the weights associated with each element of the bag

Returns:

the weights

getWeight

public double getWeight(T t)

get the weights of a particular element in the bag

Parameters:

t - element to be associated with the weight

Returns:

the weight if it exist, 0. if the element is not in the bag

computeWeights

public void computeWeights()

Compute the weights for each element of the bag.