Interface  Description 

EstimatableModel<I,D> 
An extension to a
Model that allows the model to be estimated from a
series of observations of both the independent and dependent variables. 
Model<I,D> 
The Model interface defines a mathematical model which links dependent and
independent variables.

Class  Description 

GaussianVectorNaiveBayesModel<T> 
An implementation of a
EstimatableModel that uses a
VectorNaiveBayesCategorizer to associate vectors (actually double[])
with a category based on the naive bayes model. 
LeastSquaresLinearModel 
Model of mapping between pairs of integers learned from a leastsquares
regression.

UnivariateGaussianNaiveBayesModel<T> 
An implementation of a
EstimatableModel that uses a
VectorNaiveBayesCategorizer to associate a univariate (a
Double ) with a category. 