|
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 |
Multinomial BMA Estimator. |
| SimpleEstimator |
SimpleEstimator is used for estimating the conditional probability tables of a Bayes network once the structure has been learned. |