| 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.
|