Uses of Package
LBJ2.classify

Packages that use LBJ2.classify

LBJ2.classify	Contains classes representing classifiers and features, as well as utility classes related to classifiers and features that may come in handy.
LBJ2.infer	Inference algorithms are implemented here (derived from Inference), but most of the classes in this package are used internally by LBJ at runtime to represent constraints and to translate between constraint representations.
LBJ2.jni	Classes with methods implemented in C++ are kept in this package; currently the only one is GLPKHook.
LBJ2.learn	Learning algorithms, normalizers (used in inference; see Normalizer), testing metrics (used in cross validation; see TestingMetric), and other utility classes can be found in this package.
LBJ2.nlp	Parsers, data structures, pre-processing algorithms, and common feature extracting classifiers (implemented with LBJ) useful for natural language processing are implemented in this package.
LBJ2.nlp.seg	The segmentation of sequences of words into semantically meaningful groups is a common NLP paradigm; this package aims to support such tasks in a general way.
LBJ2.parse	Here, a couple of general purpose data structures and parsers that instantiate them are defined, as well as the Parser interface, which is central to the LBJ learning classifier syntax.
LBJ2.util	Utility routines for math related stuff, formatting, etc., are defined here.

Classes in LBJ2.classify used by LBJ2.classify

Classifier
Objects of this class represent functions that make some multi-valued decision about an object.

DiscreteArrayFeature
A discrete array feature keeps track of its index in the classifier's returned array as well as the total number of features in that array.

DiscreteFeature
A discrete feature takes on one value from a set of discontinuous values.

Feature
Objects of this class represent the value of a Classifier's decision.

FeatureVector
Objects of this class are returned by classifiers that have been applied to an object.

RealArrayFeature
A real array feature keeps track of its index in the classifier's returned array.

RealFeature
A real feature takes on any value representable by a double.

Score
A score is a number produced by a learner that indicates the degree to which a particular discrete classification is appropriate for a given object.

TestDiscrete
This class is a program that can evaluate any Classifier against an oracle Classifier on the objects returned from a Parser.

ValueComparer
This classifier applies another classifier to the example object and returns a Boolean feature (with value "true" or "false") representing the equality of the argument classifier's feature value to a given value.

Classes in LBJ2.classify used by LBJ2.infer

Classifier
Objects of this class represent functions that make some multi-valued decision about an object.

FeatureVector
Objects of this class are returned by classifiers that have been applied to an object.

Score
A score is a number produced by a learner that indicates the degree to which a particular discrete classification is appropriate for a given object.

ScoreSet
A score set is simply a set of Scores.

Classes in LBJ2.classify used by LBJ2.jni

Score
A score is a number produced by a learner that indicates the degree to which a particular discrete classification is appropriate for a given object.

Classes in LBJ2.classify used by LBJ2.learn

Classifier
Objects of this class represent functions that make some multi-valued decision about an object.

DiscreteFeature
A discrete feature takes on one value from a set of discontinuous values.

Feature
Objects of this class represent the value of a Classifier's decision.

FeatureVector
Objects of this class are returned by classifiers that have been applied to an object.

ScoreSet
A score set is simply a set of Scores.

Classes in LBJ2.classify used by LBJ2.nlp

Classifier
Objects of this class represent functions that make some multi-valued decision about an object.

FeatureVector
Objects of this class are returned by classifiers that have been applied to an object.

Classes in LBJ2.classify used by LBJ2.nlp.seg

Classifier
Objects of this class represent functions that make some multi-valued decision about an object.

TestDiscrete
This class is a program that can evaluate any Classifier against an oracle Classifier on the objects returned from a Parser.

Classes in LBJ2.classify used by LBJ2.parse

Feature
Objects of this class represent the value of a Classifier's decision.

Classes in LBJ2.classify used by LBJ2.util

Classifier
Objects of this class represent functions that make some multi-valued decision about an object.