Class Summary |
BinaryFeature |
This is used when only binary features are needed. |
CGRunner |
This class will call Conjugate Gradient 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. |