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