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

    Methods
    Modifier and Type | Method and Description
    --- | ---
    `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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