org.encog.ensemble
Class Ensemble

java.lang.Object
  extended by org.encog.ensemble.Ensemble
Direct Known Subclasses:
AdaBoost, Bagging, Stacking

public abstract class Ensemble
extends Object


Nested Class Summary
 class Ensemble.NotPossibleInThisMethod
           
 
Field Summary
protected  EnsembleAggregator aggregator
           
protected  MLDataSet aggregatorDataSet
           
protected  EnsembleDataSetFactory dataSetFactory
           
protected  ArrayList<EnsembleML> members
           
protected  EnsembleMLMethodFactory mlFactory
           
protected  EnsembleTrainFactory trainFactory
           
 
Constructor Summary
Ensemble()
           
 
Method Summary
 void addMember(EnsembleML newMember)
          Add a member to the ensemble
 MLData compute(MLData input)
          Compute the output for a specific input
 EnsembleAggregator getAggregator()
           
 EnsembleML getMember(int memberNumber)
          Extract a specific MLMethod
abstract  EnsembleTypes.ProblemType getProblemType()
          Return what type of problem this Ensemble is solving
 MLDataSet getTrainingSet(int setNumber)
          Extract a specific training set from the Ensemble
abstract  void initMembers()
          Initialise ensemble components
 void initMembersBySplits(int splits)
           
 void setAggregator(EnsembleAggregator aggregator)
          Sets the ensemble aggregation method
 void setTrainingData(MLDataSet data)
          Set which training data to base the training on
 void setTrainingDataFactory(EnsembleDataSetFactory dataSetFactory)
          Set which dataSetFactory to use to create the correct tranining sets
 void setTrainingMethod(EnsembleTrainFactory newTrainFactory)
          Set the training method to use for this ensemble
 void train(double targetError, double selectionError, EnsembleDataSet testset)
          Train the ensemble to a target accuracy
 void train(double targetError, double selectionError, EnsembleDataSet testset, boolean verbose)
          Train the ensemble to a target accuracy
 
Methods inherited from class java.lang.Object
clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait
 

Field Detail

dataSetFactory

protected EnsembleDataSetFactory dataSetFactory

trainFactory

protected EnsembleTrainFactory trainFactory

aggregator

protected EnsembleAggregator aggregator

members

protected ArrayList<EnsembleML> members

mlFactory

protected EnsembleMLMethodFactory mlFactory

aggregatorDataSet

protected MLDataSet aggregatorDataSet
Constructor Detail

Ensemble

public Ensemble()
Method Detail

initMembers

public abstract void initMembers()
Initialise ensemble components


initMembersBySplits

public void initMembersBySplits(int splits)

setTrainingMethod

public void setTrainingMethod(EnsembleTrainFactory newTrainFactory)
Set the training method to use for this ensemble

Parameters:
newTrainFactory - The training factory.

setTrainingData

public void setTrainingData(MLDataSet data)
Set which training data to base the training on

Parameters:
data - The training data.

setTrainingDataFactory

public void setTrainingDataFactory(EnsembleDataSetFactory dataSetFactory)
Set which dataSetFactory to use to create the correct tranining sets

Parameters:
dataSetFactory - The data set factory.

train

public void train(double targetError,
                  double selectionError,
                  EnsembleDataSet testset,
                  boolean verbose)
Train the ensemble to a target accuracy

Parameters:
targetError - The target error.
selectionError - The selection error.
testset - The test set.
verbose - Verbose mode?

train

public void train(double targetError,
                  double selectionError,
                  EnsembleDataSet testset)
Train the ensemble to a target accuracy

Parameters:
targetError - The target error.
selectionError - The selection error.
testset - The test set.

getTrainingSet

public MLDataSet getTrainingSet(int setNumber)
Extract a specific training set from the Ensemble

Parameters:
setNumber -
Returns:
The training set.

getMember

public EnsembleML getMember(int memberNumber)
Extract a specific MLMethod

Parameters:
memberNumber -
Returns:
The MLMethod.

addMember

public void addMember(EnsembleML newMember)
               throws Ensemble.NotPossibleInThisMethod
Add a member to the ensemble

Parameters:
newMember -
Throws:
Ensemble.NotPossibleInThisMethod

compute

public MLData compute(MLData input)
Compute the output for a specific input

Parameters:
input -
Returns:
The data.

getAggregator

public EnsembleAggregator getAggregator()
Returns:
Returns the ensemble aggregation method

setAggregator

public void setAggregator(EnsembleAggregator aggregator)
Sets the ensemble aggregation method

Parameters:
aggregator -

getProblemType

public abstract EnsembleTypes.ProblemType getProblemType()
Return what type of problem this Ensemble is solving

Returns:
The problem type.


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