net.sourceforge.cilib.neuralnetwork.generic.datacontainers
Class SAILARealData

java.lang.Object
  net.sourceforge.cilib.neuralnetwork.generic.datacontainers.GenericData
      net.sourceforge.cilib.neuralnetwork.generic.datacontainers.SAILARealData

All Implemented Interfaces:

Initializable, NeuralNetworkData

public class SAILARealData
extends GenericData
implements Initializable

Author:

stefanv

Field Summary

protected ArrayList<Double>	informativeness
protected ArrayList<NNPattern>	mostInformative
protected GenericTopology	topology

Fields inherited from class net.sourceforge.cilib.neuralnetwork.generic.datacontainers.GenericData

candidateSet, distributor, generalisationSet, iter, trainingSet, validationSet

Constructor Summary

SAILARealData()

Method Summary

void	activeLearningUpdate(Object input) Update the active learning, based on the provided input.
protected double	calculateInformativeness(NNPattern p)
int	getNrUpdates()
void	initialize() Perform the needed initialisation for the data object.
protected double	normalisedOSVector(NeuronConfig ok)
protected void	prioritisePattern(NNPattern p, double inform)
void	setNrUpdates(int nrUpdates)
void	setTopology(GenericTopology topology)

Methods inherited from class net.sourceforge.cilib.neuralnetwork.generic.datacontainers.GenericData

getCandidateSetIterator, getCandidateSetSize, getGeneralisationSetIterator, getGeneralisationSetSize, getTrainingSetIterator, getTrainingSetSize, getValidationSetIterator, getValidationSetSize, printStatistics, setDistributor, shuffleTrainingSet

Methods inherited from class java.lang.Object

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

Field Detail

topology

protected GenericTopology topology

mostInformative

protected ArrayList<NNPattern> mostInformative

informativeness

protected ArrayList<Double> informativeness

Constructor Detail

SAILARealData

public SAILARealData()

Method Detail

initialize

public void initialize()

Description copied from class: GenericData

Perform the needed initialisation for the data object.

Specified by:

initialize in interface Initializable

Overrides:

initialize in class GenericData

prioritisePattern

protected void prioritisePattern(NNPattern p,
                                 double inform)

activeLearningUpdate

public void activeLearningUpdate(Object input)

Description copied from class: GenericData

Update the active learning, based on the provided input.

Specified by:

activeLearningUpdate in interface NeuralNetworkData

Overrides:

activeLearningUpdate in class GenericData

Parameters:

input - The input for the update.

calculateInformativeness

protected double calculateInformativeness(NNPattern p)

normalisedOSVector

protected double normalisedOSVector(NeuronConfig ok)

setTopology

public void setTopology(GenericTopology topology)

getNrUpdates

public int getNrUpdates()

setNrUpdates

public void setNrUpdates(int nrUpdates)