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