Uses of Package
iitb.CRF

Packages that use iitb.CRF

iitb.CRF	Provides an implementation of Conditional Random Fields (CRF) for use in sequential classification tasks.
iitb.MaxentClassifier	This package shows how to use the CRF package iitb.CRF for basic maxent classification
iitb.Model	This package has a wealth of classes that will make it easy for you to implement the FeatureGenerator interface required when using CRFs.
iitb.Segment	This package shows how to use the iitb.CRF package for sequence classification tasks

Classes in iitb.CRF used by iitb.CRF

CRF
CRF (conditional random fields) This class provides support for training and applying a conditional random field for sequence labeling problems.

CrfParams
This class holds all parameters to control various aspects of the CRF model

DataIter
The basic interface to be implemented by the user of this package for providing training and test data to the learner.

DataSequence
A basic training/test instance needs to support the DataSequence interface.

Feature
A single feature returned by the FeatureGenerator needs to support this interface.

FeatureGenerator
The basic interface to be implemented by the user of this package for providing features of an individual data sequence.

FeatureGeneratorNested

Classes in iitb.CRF used by iitb.MaxentClassifier

DataIter
The basic interface to be implemented by the user of this package for providing training and test data to the learner.

DataSequence
A basic training/test instance needs to support the DataSequence interface.

Feature
A single feature returned by the FeatureGenerator needs to support this interface.

FeatureGenerator
The basic interface to be implemented by the user of this package for providing features of an individual data sequence.

Classes in iitb.CRF used by iitb.Model

DataIter
The basic interface to be implemented by the user of this package for providing training and test data to the learner.

DataSequence
A basic training/test instance needs to support the DataSequence interface.

Feature
A single feature returned by the FeatureGenerator needs to support this interface.

FeatureGenerator
The basic interface to be implemented by the user of this package for providing features of an individual data sequence.

Classes in iitb.CRF used by iitb.Segment

DataIter
The basic interface to be implemented by the user of this package for providing training and test data to the learner.

DataSequence
A basic training/test instance needs to support the DataSequence interface.

FeatureGenerator
The basic interface to be implemented by the user of this package for providing features of an individual data sequence.