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## 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.

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Stanford NLP Group