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

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

All Implemented Interfaces:

Initializable, NeuralNetworkData

public class DynamicPatternSelectionData
extends GenericData
implements Initializable

Author:

stefanv

Field Summary

protected ArrayList<NNError>	informativeness
protected ArrayList<NNPattern>	mostInformative
protected NNError	prototypeError
protected GenericTopology	topology

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

candidateSet, distributor, generalisationSet, iter, trainingSet, validationSet

Constructor Summary

DynamicPatternSelectionData()

Method Summary

void	activeLearningUpdate(Object input) Update the active learning, based on the provided input.
int	getNrUpdates()
NNError	getPrototypeError()
void	initialize() Perform the needed initialisation for the data object.
protected void	prioritisePattern(NNPattern p, NNError inform)
void	setNrUpdates(int nrUpdates)
void	setPrototypeError(NNError baseError)
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

prototypeError

protected NNError prototypeError

mostInformative

protected ArrayList<NNPattern> mostInformative

informativeness

protected ArrayList<NNError> informativeness

Constructor Detail

DynamicPatternSelectionData

public DynamicPatternSelectionData()

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,
                                 NNError 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.

getPrototypeError

public NNError getPrototypeError()

setPrototypeError

public void setPrototypeError(NNError baseError)

setTopology

public void setTopology(GenericTopology topology)

getNrUpdates

public int getNrUpdates()

setNrUpdates

public void setNrUpdates(int nrUpdates)