|
Class Summary |
| CGRunner |
This class will call an optimization method such as Conjugate Gradient or
Quasi-Newton on a LambdaSolve object to find
optimal parameters, including imposing a Gaussian prior on those
parameters. |
| Convert |
This is used to convert an array of double into byte array which makes it possible to keep it more efficiently. |
| DataGeneric |
A class representing a data item with an array of inputs X and a String classification Y. |
| Experiments |
This class represents the training samples. |
| Feature |
This class is used as a base class for TaggerFeature for the
tagging problem and for BinaryFeature for the general problem with binary
features. |
| Features |
An ArrayList of Feature |
| Problem |
This is a general class for Problem to be solved by the MaxEnt toolkit. |