weka.attributeSelection
Class BestFirst

java.lang.Object
  |
  +--weka.attributeSelection.ASSearch
        |
        +--weka.attributeSelection.BestFirst

All Implemented Interfaces:

OptionHandler, java.io.Serializable, StartSetHandler

public class BestFirst

extends ASSearch

implements OptionHandler, StartSetHandler

Class for performing a best first search.

Valid options are:

-P
Specify a starting set of attributes. Eg 1,4,7-9.

-D <-1 = backward | 0 = bidirectional | 1 = forward>
Direction of the search. (default = 1).

-N
Number of non improving nodes to consider before terminating search. (default = 5).

Author:

Mark Hall (mhall@cs.waikato.ac.nz)

See Also:

Serialized Form

Inner Class Summary

class	BestFirst.Link2 Class for a node in a linked list.
class	BestFirst.LinkedList2 Class for handling a linked list.

Field Summary

static Tag[]

TAGS_SELECTION

Constructor Summary

BestFirst()
Constructor

Method Summary

java.lang.String	directionTipText() Returns the tip text for this property
SelectedTag	getDirection() Get the search direction
java.lang.String[]	getOptions() Gets the current settings of BestFirst.
int	getSearchTermination() Get the termination criterion (number of non-improving nodes).
java.lang.String	getStartSet() Returns a list of attributes (and or attribute ranges) as a String
java.lang.String	globalInfo() Returns a string describing this search method
java.util.Enumeration	listOptions() Returns an enumeration describing the available options
protected void	resetOptions() Reset options to default values
int[]	search(ASEvaluation ASEval, Instances data) Searches the attribute subset space by best first search
java.lang.String	searchTerminationTipText() Returns the tip text for this property
void	setDirection(SelectedTag d) Set the search direction
void	setOptions(java.lang.String[] options) Parses a given list of options.
void	setSearchTermination(int t) Set the numnber of non-improving nodes to consider before terminating search.
void	setStartSet(java.lang.String startSet) Sets a starting set of attributes for the search.
java.lang.String	startSetTipText() Returns the tip text for this property
java.lang.String	toString() returns a description of the search as a String

Methods inherited from class weka.attributeSelection.ASSearch

forName

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait

Field Detail

TAGS_SELECTION

public static final Tag[] TAGS_SELECTION

Constructor Detail

BestFirst

public BestFirst()

Constructor

Method Detail

globalInfo

public java.lang.String globalInfo()

Returns a string describing this search method

Returns:

a description of the search method suitable for displaying in the explorer/experimenter gui

listOptions

public java.util.Enumeration listOptions()

Returns an enumeration describing the available options

Specified by:

listOptions in interface OptionHandler

Returns:

an enumeration of all the available options

setOptions

public void setOptions(java.lang.String[] options)
                throws java.lang.Exception

Parses a given list of options. Valid options are:

-P
Specify a starting set of attributes. Eg 1,4,7-9.

-D <-1 = backward | 0 = bidirectional | 1 = forward>
Direction of the search. (default = 1).

-N
Number of non improving nodes to consider before terminating search. (default = 5).

Specified by:

setOptions in interface OptionHandler

Parameters:

options - the list of options as an array of strings

Throws:

java.lang.Exception - if an option is not supported

startSetTipText

public java.lang.String startSetTipText()

Returns the tip text for this property

Returns:

tip text for this property suitable for displaying in the explorer/experimenter gui

setStartSet

public void setStartSet(java.lang.String startSet)
                 throws java.lang.Exception

Sets a starting set of attributes for the search. It is the search method's responsibility to report this start set (if any) in its toString() method.

Specified by:

setStartSet in interface StartSetHandler

Parameters:

startSet - a string containing a list of attributes (and or ranges), eg. 1,2,6,10-15.

Throws:

java.lang.Exception - if start set can't be set.

getStartSet

public java.lang.String getStartSet()

Returns a list of attributes (and or attribute ranges) as a String

Specified by:

getStartSet in interface StartSetHandler

Returns:

a list of attributes (and or attribute ranges)

searchTerminationTipText

public java.lang.String searchTerminationTipText()

Returns the tip text for this property

Returns:

tip text for this property suitable for displaying in the explorer/experimenter gui

setSearchTermination

public void setSearchTermination(int t)
                          throws java.lang.Exception

Set the numnber of non-improving nodes to consider before terminating search.

Parameters:

t - the number of non-improving nodes

Throws:

java.lang.Exception - if t is less than 1

getSearchTermination

public int getSearchTermination()

Get the termination criterion (number of non-improving nodes).

Returns:

the number of non-improving nodes

directionTipText

public java.lang.String directionTipText()

Returns the tip text for this property

Returns:

tip text for this property suitable for displaying in the explorer/experimenter gui

setDirection

public void setDirection(SelectedTag d)

Set the search direction

Parameters:

d - the direction of the search

getDirection

public SelectedTag getDirection()

Get the search direction

Returns:

the direction of the search

getOptions

public java.lang.String[] getOptions()

Gets the current settings of BestFirst.

Specified by:

getOptions in interface OptionHandler

Returns:

an array of strings suitable for passing to setOptions()

toString

public java.lang.String toString()

returns a description of the search as a String

Overrides:

toString in class java.lang.Object

Returns:

a description of the search

search

public int[] search(ASEvaluation ASEval,
                    Instances data)
             throws java.lang.Exception

Searches the attribute subset space by best first search

Overrides:

search in class ASSearch

Parameters:

ASEvaluator - the attribute evaluator to guide the search

data - the training instances.

Returns:

an array (not necessarily ordered) of selected attribute indexes

Throws:

java.lang.Exception - if the search can't be completed

resetOptions

protected void resetOptions()

Reset options to default values