weka.classifiers.rules
Class DecisionTable.LinkedList

java.lang.Object
  |
  +--weka.core.FastVector
        |
        +--weka.classifiers.rules.DecisionTable.LinkedList

All Implemented Interfaces:

Copyable, java.io.Serializable

Enclosing class:

DecisionTable

public class DecisionTable.LinkedList

extends FastVector

Class for handling a linked list. Used in best first search. Extends the Vector class.

See Also:

Serialized Form

Nested Class Summary

Nested classes inherited from class weka.core.FastVector

FastVector.FastVectorEnumeration

Constructor Summary

DecisionTable.LinkedList()

Method Summary

void	addToList(java.util.BitSet gr, double mer) Aadds an element (Link) to the list.
DecisionTable.Link	getLinkAt(int index) Returns the element (Link) at a specific index from the list.
void	removeLinkAt(int index) Removes an element (Link) at a specific index from the list.

Methods inherited from class weka.core.FastVector

addElement, appendElements, capacity, contains, copy, copyElements, elementAt, elements, elements, firstElement, indexOf, insertElementAt, lastElement, removeAllElements, removeElementAt, setCapacity, setElementAt, size, swap, toArray, trimToSize

Methods inherited from class java.lang.Object

equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

DecisionTable.LinkedList

public DecisionTable.LinkedList()

Method Detail

removeLinkAt

public void removeLinkAt(int index)
                  throws java.lang.Exception

Removes an element (Link) at a specific index from the list.

Parameters:

index - the index of the element to be removed.

java.lang.Exception

getLinkAt

public DecisionTable.Link getLinkAt(int index)
                             throws java.lang.Exception

Returns the element (Link) at a specific index from the list.

Parameters:

index - the index of the element to be returned.

java.lang.Exception

addToList

public void addToList(java.util.BitSet gr,
                      double mer)

Aadds an element (Link) to the list.

Parameters:

gr - the feature set specification

mer - the "merit" of this feature set