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 least-squares
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.
|