org.encog.ml.bayesian.training.estimator
Class SimpleEstimator

java.lang.Object
  org.encog.ml.bayesian.training.estimator.SimpleEstimator

All Implemented Interfaces:

BayesEstimator

public class SimpleEstimator
extends Object
implements BayesEstimator

A simple probability estimator.

Constructor Summary

SimpleEstimator()

Method Summary

double	calculateProbability(BayesianEvent event, int result, int[] args) Calculate the probability.
void	init(TrainBayesian theTrainer, BayesianNetwork theNetwork, MLDataSet theData) Init the estimator.
boolean	iteration() Perform an iteration.

Methods inherited from class java.lang.Object

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

Constructor Detail

SimpleEstimator

public SimpleEstimator()

Method Detail

init

public void init(TrainBayesian theTrainer,
                 BayesianNetwork theNetwork,
                 MLDataSet theData)

Init the estimator.

Specified by:

init in interface BayesEstimator

Parameters:

theTrainer - The trainer.

theNetwork - The network.

theData - The data.

calculateProbability

public double calculateProbability(BayesianEvent event,
                                   int result,
                                   int[] args)

Calculate the probability.

Parameters:

event - The event.

result - The result.

args - The arguments.

Returns:

The probability.

iteration

public boolean iteration()

Perform an iteration.

Specified by:

iteration in interface BayesEstimator

Returns:

True, if we should contune.