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## org.encog.ml.bayesian.training.estimator
Interface BayesEstimator

All Known Implementing Classes:
  EstimatorNone, SimpleEstimator

    public interface BayesEstimator

An estimator is used during Bayesian training to determine optimal probability values.

Method Summary
`void` | `init(TrainBayesian theTrainer, BayesianNetwork theNetwork, MLDataSet theData)` Init the estimator.
`boolean` | `iteration()` Perform an iteration.

Method Detail

### init

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

  Init the estimator.

  Parameters:
    `theTrainer` - The trainer.
    `theNetwork` - The network.
    `theData` - The data.

### iteration

    boolean iteration()

  Perform an iteration.

  Returns:
    True, if we should contune.

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