org.encog.neural.flat.train
Interface TrainFlatNetwork

All Known Implementing Classes:

TrainFlatNetworkBackPropagation, TrainFlatNetworkManhattan, TrainFlatNetworkProp, TrainFlatNetworkQPROP, TrainFlatNetworkResilient, TrainFlatNetworkSCG

public interface TrainFlatNetwork

Common interface for training a flat neural network.

Method Summary

void	finishTraining() Training is to stop, free any resources.
double	getError()
int	getIteration()
FlatNetwork	getNetwork()
int	getNumThreads()
MLDataSet	getTraining()
void	iteration() Perform one training iteration.
void	iteration(int count) Perform one training iteration.
void	setIteration(int iteration) Set the iteration.
void	setNumThreads(int numThreads) Set the number of threads to use.

Method Detail

getError

double getError()

Returns:

The error from the neural network.

getNetwork

FlatNetwork getNetwork()

Returns:

The trained neural network.

getTraining

MLDataSet getTraining()

Returns:

The data we are training with.

iteration

void iteration()

Perform one training iteration.

iteration

void iteration(int count)

Perform one training iteration.

Parameters:

count - The number of iterations.

setNumThreads

void setNumThreads(int numThreads)

Set the number of threads to use.

Parameters:

numThreads - The number of threads to use.

getNumThreads

int getNumThreads()

Returns:

The number of threads.

finishTraining

void finishTraining()

Training is to stop, free any resources.

getIteration

int getIteration()

Returns:

The current iteration.

setIteration

void setIteration(int iteration)

Set the iteration.

Parameters:

iteration - The iteration.