Main Page Class Hierarchy Alphabetical List Compound List Compound Members

prapi::BeamSelector Class Reference

#include <FeatureSelector.h>

Inheritance diagram for prapi::BeamSelector:

Detailed Description

BeamSelector implements the beam search optimization algorithm.

Public Methods

BeamSelector (GoodnessMeasure &measure, int beamWidth=3)

Create an instance of the BeamSelector with the given goodness measure and beam width.

util::List< int > optimize (int totalCount, int desiredCount=-1)

Find a sub-optimal subset of items.

Member Function Documentation

List< int > prapi::BeamSelector::optimize ( int totalCount,

int desiredCount = -1

) [virtual]

Find a sub-optimal subset of items.
The implementation of this method is method-dependent. By convention, each implementation should fire a SelectionEvent every time an optimization round is finished.
Parameters:

totalCount the total number of items out of which the subset is to be selected.

the desired number of enabled items after optimization. If this value is set to a non-positive value, optimization is stopped only after the goodness threshold is exceeded.

Implements prapi::SubSetSelector.

The documentation for this class was generated from the following files:

FeatureSelector.h
FeatureSelector.cc

Public Methods
	BeamSelector (GoodnessMeasure &measure, int beamWidth=3)
	Create an instance of the BeamSelector with the given goodness measure and beam width.
util::List< int >	optimize (int totalCount, int desiredCount=-1)
	Find a sub-optimal subset of items.