org.encog.ensemble.adaboost

Class AdaBoost

java.lang.Object

org.encog.ensemble.Ensemble

org.encog.ensemble.adaboost.AdaBoost

public class AdaBoost
extends Ensemble

Nested Class Summary

Nested classes/interfaces inherited from class org.encog.ensemble.Ensemble

Ensemble.NotPossibleInThisMethod, Ensemble.TrainingAborted

Field Summary

Fields inherited from class org.encog.ensemble.Ensemble

aggregator, aggregatorDataSet, dataSetFactory, members, mlFactory, trainFactory

Constructor Summary

Constructors

Constructor and Description
AdaBoost(int iterationsT, int dataSetSize, EnsembleMLMethodFactory mlFactory, EnsembleTrainFactory trainFactory, EnsembleWeightedAggregator aggregator)

Method Summary

Modifier and Type	Method and Description
void	addMember(EnsembleML newMember) Add a member to the ensemble
EnsembleTypes.ProblemType	getProblemType() Return what type of problem this Ensemble is solving
void	initMembers() Initialise ensemble components
void	resize(int newSize, double targetAccuracy, double selectionError, int maxIterations, int maxLoops, EnsembleDataSet testset, boolean verbose)
void	train(double targetAccuracy, double selectionError, int maxIterations, int maxLoops, EnsembleDataSet testset, boolean verbose) Train the ensemble to a target accuracy

Methods inherited from class org.encog.ensemble.Ensemble

addNewMember, compute, generateNewMember, getAggregator, getMember, getTrainingSet, initMembersBySplits, retrainAggregator, setAggregator, setTrainingData, setTrainingDataFactory, setTrainingMethod, train, train, train, trainMember, trainMember, trainMember, trainMember

Methods inherited from class java.lang.Object

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

Constructor Detail

AdaBoost

public AdaBoost(int iterationsT,
                int dataSetSize,
                EnsembleMLMethodFactory mlFactory,
                EnsembleTrainFactory trainFactory,
                EnsembleWeightedAggregator aggregator)

Method Detail

resize

public void resize(int newSize,
                   double targetAccuracy,
                   double selectionError,
                   int maxIterations,
                   int maxLoops,
                   EnsembleDataSet testset,
                   boolean verbose)
            throws Ensemble.TrainingAborted

Throws:

Ensemble.TrainingAborted

train

public void train(double targetAccuracy,
                  double selectionError,
                  int maxIterations,
                  int maxLoops,
                  EnsembleDataSet testset,
                  boolean verbose)
           throws Ensemble.TrainingAborted

Description copied from class: Ensemble

Train the ensemble to a target accuracy

Overrides:

train in class Ensemble

Parameters:

targetAccuracy - The target error.

selectionError - The selection error.

maxIterations - Max iterations.

maxLoops - Max loops.

testset - Selection set.

verbose - Verbose.

Throws:

Ensemble.TrainingAborted - Training was aborted.

initMembers

public void initMembers()

Description copied from class: Ensemble

Initialise ensemble components

Specified by:

initMembers in class Ensemble

addMember

public void addMember(EnsembleML newMember)
               throws Ensemble.NotPossibleInThisMethod

Description copied from class: Ensemble

Add a member to the ensemble

Overrides:

addMember in class Ensemble

Parameters:

newMember - The new member.

Throws:

Ensemble.NotPossibleInThisMethod - Not possible in this method.

getProblemType

public EnsembleTypes.ProblemType getProblemType()

Description copied from class: Ensemble

Return what type of problem this Ensemble is solving

Specified by:

getProblemType in class Ensemble

Returns:

The problem type.