org.encog.ml.train.strategy

Class RequiredImprovementStrategy

java.lang.Object

org.encog.ml.train.strategy.RequiredImprovementStrategy

All Implemented Interfaces:

Strategy

public class RequiredImprovementStrategy
extends java.lang.Object
implements Strategy

The reset strategy will reset the weights if the neural network fails to improve by the specified amount over a number of cycles.

Constructor Summary

Constructors

Constructor and Description
RequiredImprovementStrategy(double required, double threshold, int cycles) Construct a reset strategy.
RequiredImprovementStrategy(double required, int cycles) Construct a reset strategy.
RequiredImprovementStrategy(int cycles) Reset if there is not at least a 1% improvement for n cycles.

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.

Methods inherited from class java.lang.Object

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

Constructor Detail

RequiredImprovementStrategy

public RequiredImprovementStrategy(double required,
                                   int cycles)

Construct a reset strategy. The error rate must fall below the required rate in the specified number of cycles, or the neural network will be reset to random weights and bias values.

Parameters:

required - The required error rate.

cycles - The number of cycles to reach that rate.

RequiredImprovementStrategy

public RequiredImprovementStrategy(double required,
                                   double threshold,
                                   int cycles)

Construct a reset strategy. The error rate must fall below the required rate in the specified number of cycles, or the neural network will be reset to random weights and bias values.

Parameters:

required - The required error rate.

threshold - The accepted threshold, don't reset if error is below this.

cycles - The number of cycles to reach that rate.

RequiredImprovementStrategy

public RequiredImprovementStrategy(int cycles)

Reset if there is not at least a 1% improvement for n cycles. Don't reset if below 10%.

Parameters:

cycles - The number of cycles.

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