| Package | Description | 
|---|---|
| gov.sandia.cognition.learning.algorithm.ensemble | 
 Provides ensemble methods. 
 | 
| gov.sandia.cognition.learning.algorithm.factor.machine | 
 Provides factorization machine algorithms. 
 | 
| gov.sandia.cognition.learning.algorithm.tree | 
 Provides decision tree learning algorithms. 
 | 
| gov.sandia.cognition.learning.function.scalar | 
 Provides functions that output real numbers. 
 | 
| Class and Description | 
|---|
| Regressor
 Defines the functionality of a regression function, which is the model
 created by regression algorithms. 
 | 
| Class and Description | 
|---|
| AbstractRegressor
 An abstract implementation of the  
Regressor interface. | 
| Class and Description | 
|---|
| Regressor
 Defines the functionality of a regression function, which is the model
 created by regression algorithms. 
 | 
| Class and Description | 
|---|
| AbstractRegressor
 An abstract implementation of the  
Regressor interface. | 
| Regressor
 Defines the functionality of a regression function, which is the model
 created by regression algorithms. 
 |