| Class | Description |
|---|---|
| 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.
|