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.