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See:
Description
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. |
This package deals with defining and solving maximum entropy problems. In the future it will have facilities for easier definition of maxent problems.
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
classOf()
, scoresOf()
, and
justificationOf()
methods of the resulting
LinearType2Classifier object.
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