org.encog.ml.train.strategy

Class StopTrainingStrategy

java.lang.Object

org.encog.ml.train.strategy.StopTrainingStrategy

All Implemented Interfaces:

EndTrainingStrategy, Strategy

public class StopTrainingStrategy
extends java.lang.Object
implements EndTrainingStrategy

This strategy will indicate once training is no longer improving the neural network by a specified amount, over a specified number of cycles. This allows the program to automatically determine when to stop training.

Field Summary

Fields

Modifier and Type	Field and Description
static double	DEFAULT_MIN_IMPROVEMENT The default minimum improvement before training stops.
static int	DEFAULT_TOLERATE_CYCLES The default number of cycles to tolerate.

Constructor Summary

Constructors

Constructor and Description
StopTrainingStrategy() Construct the strategy with default options.
StopTrainingStrategy(double minImprovement, int toleratedCycles) Construct the strategy with the specified parameters.

Method Summary

Modifier and Type	Method and Description
void	init(MLTrain train) Initialize this strategy.
void	postIteration() Called just after a training iteration.
void	preIteration() Called just before a training iteration.
boolean	shouldStop()

Methods inherited from class java.lang.Object

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

Field Detail

DEFAULT_MIN_IMPROVEMENT

public static final double DEFAULT_MIN_IMPROVEMENT

The default minimum improvement before training stops.

See Also:

Constant Field Values

DEFAULT_TOLERATE_CYCLES

public static final int DEFAULT_TOLERATE_CYCLES

The default number of cycles to tolerate.

See Also:

Constant Field Values

Constructor Detail

StopTrainingStrategy

public StopTrainingStrategy()

Construct the strategy with default options.

StopTrainingStrategy

public StopTrainingStrategy(double minImprovement,
                            int toleratedCycles)

Construct the strategy with the specified parameters.

Parameters:

minImprovement - The minimum accepted improvement.

toleratedCycles - The number of cycles to tolerate before stopping.

Method Detail

init

public void init(MLTrain train)

Initialize this strategy.

Specified by:

init in interface Strategy

Parameters:

train - The training algorithm.

postIteration

public void postIteration()

Called just after a training iteration.

Specified by:

postIteration in interface Strategy

preIteration

public void preIteration()

Called just before a training iteration.

Specified by:

preIteration in interface Strategy

shouldStop

public boolean shouldStop()

Specified by:

shouldStop in interface EndTrainingStrategy

Returns:

True if training should stop.