org.encog.ensemble

Interface EnsembleML

All Superinterfaces:

MLClassification, MLInput, MLInputOutput, MLMethod, MLOutput, MLRegression

All Known Implementing Classes:

GenericEnsembleML

public interface EnsembleML
extends MLMethod, MLClassification, MLRegression

Author:

nitbix

Method Summary

Methods

Modifier and Type	Method and Description
double	getError(EnsembleDataSet testset) Get the error for this ML on the dataset
String	getLabel()
MLMethod	getMl()
MLTrain	getTraining()
EnsembleDataSet	getTrainingSet()
void	setMl(MLMethod newMl) Set the MLMethod to run
void	setTraining(MLTrain train) Set the training for this member
void	setTrainingSet(EnsembleDataSet dataSet) Set the dataset for this member
void	train(double targetError) Train the ML to a certain accuracy.
void	train(double targetError, boolean verbose) Train the ML to a certain accuracy.
void	trainStep()

Methods inherited from interface org.encog.ml.MLClassification

classify

Methods inherited from interface org.encog.ml.MLRegression

compute

Methods inherited from interface org.encog.ml.MLInput

getInputCount

Methods inherited from interface org.encog.ml.MLOutput

getOutputCount

Method Detail

setTrainingSet

void setTrainingSet(EnsembleDataSet dataSet)

Set the dataset for this member

Parameters:

dataSet - The data set.

setTraining

void setTraining(MLTrain train)

Set the training for this member

Parameters:

train - The trainer.

getTrainingSet

EnsembleDataSet getTrainingSet()

Returns:

Get the dataset for this member

getTraining

MLTrain getTraining()

Returns:

Get the dataset for this member.

train

void train(double targetError)

Train the ML to a certain accuracy.

Parameters:

targetError - The target error.

train

void train(double targetError,
         boolean verbose)

Train the ML to a certain accuracy.

Parameters:

targetError - Target error.

verbose - Verbose mode.

getError

double getError(EnsembleDataSet testset)

Get the error for this ML on the dataset

setMl

void setMl(MLMethod newMl)

Set the MLMethod to run

Parameters:

newMl - The new ML.

getMl

MLMethod getMl()

Returns:

Returns the current MLMethod

trainStep

void trainStep()

getLabel

String getLabel()