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.
A class representing a data item with an array of inputs X and a String classification Y.
This class represents the training samples.
This class is used as a base class for TaggerFeature for the tagging problem and for BinaryFeature for the general problem with binary features.
An ArrayList of Feature.
This is a general class for a Problem to be solved by the MaxEnt toolkit.
If you are new to this package, take a look at the following classes:
LinearType2Classifier.trainClassifier()on your Type2Dataset to train a classifier. You can then use the
justificationOf()methods of the resulting LinearType2Classifier object.
Stanford NLP Group