## Package edu.stanford.nlp.maxent

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.

Stanford NLP Group