Class | Description |
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BayesNetEstimator |
BayesNetEstimator is the base class for estimating the conditional probability tables of a Bayes network once the structure has been learned.
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BMAEstimator |
BMAEstimator estimates conditional probability tables of a Bayes network using Bayes Model Averaging (BMA).
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DiscreteEstimatorBayes |
Symbolic probability estimator based on symbol counts and a prior.
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DiscreteEstimatorFullBayes |
Symbolic probability estimator based on symbol counts and a prior.
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MultiNomialBMAEstimator |
Multinomial BMA Estimator.
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SimpleEstimator |
SimpleEstimator is used for estimating the conditional probability tables of a Bayes network once the structure has been learned.
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