Class and Description 

Model
The Model interface defines a mathematical model which links dependent and
independent variables.

Class and Description 

EstimatableModel
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
The Model interface defines a mathematical model which links dependent and
independent variables.

Class and Description 

EstimatableModel
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
The Model interface defines a mathematical model which links dependent and
independent variables.

Class and Description 

EstimatableModel
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
The Model interface defines a mathematical model which links dependent and
independent variables.

Class and Description 

EstimatableModel
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
The Model interface defines a mathematical model which links dependent and
independent variables.

Class and Description 

Model
The Model interface defines a mathematical model which links dependent and
independent variables.

Class and Description 

Model
The Model interface defines a mathematical model which links dependent and
independent variables.

Class and Description 

EstimatableModel
An extension to a
Model that allows the model to be estimated from a
series of observations of both the independent and dependent variables. 
GaussianVectorNaiveBayesModel
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.

Model
The Model interface defines a mathematical model which links dependent and
independent variables.

UnivariateGaussianNaiveBayesModel
An implementation of a
EstimatableModel that uses a
VectorNaiveBayesCategorizer to associate a univariate (a
Double ) with a category. 
Class and Description 

EstimatableModel
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
The Model interface defines a mathematical model which links dependent and
independent variables.

Class and Description 

Model
The Model interface defines a mathematical model which links dependent and
independent variables.

Class and Description 

Model
The Model interface defines a mathematical model which links dependent and
independent variables.

Class and Description 

EstimatableModel
An extension to a
Model that allows the model to be estimated from a
series of observations of both the independent and dependent variables. 
Class and Description 

EstimatableModel
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
The Model interface defines a mathematical model which links dependent and
independent variables.

Class and Description 

EstimatableModel
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
The Model interface defines a mathematical model which links dependent and
independent variables.
