See: Description
Class | Description |
---|---|
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.
|
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 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
classOf()
, scoresOf()
, and
justificationOf()
methods of the resulting
LinearType2Classifier object.