Package edu.stanford.nlp.maxent

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.
 



Stanford NLP Group