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## Package cc.mallet.fst.semi_supervised

Class Summary
CRFOptimizableByEntropyRegularization | A CRF objective function that is the entropy of the CRF's predictions on unlabeled data.
CRFOptimizableByGECriteria | GE criteria for training a linear chain CRF.
CRFTrainerByEntropyRegularization | A CRF trainer that maximizes the log-likelihood plus a weighted entropy regularization term on unlabeled data.
CRFTrainerByGE | Trains a CRF using Generalized Expectation constraints that considers a single label of a linear chain CRF.
EntropyLattice | Runs subsequence constrained forward-backward to compute the entropy of label sequences.
GECriteria | Represents GE criteria specified in the form of feature-label associations.
GECriterion |
GEKLCriteria |
GEKLCriterion |
GEL2Criteria |
GEL2Criterion |
GELattice | Runs the dynamic programming algorithm of [Mann and McCallum 08] for computing the gradient of a Generalized Expectation constraint that considers a single label of a linear chain CRF.
StateLabelMap | Maps states in the lattice to labels.

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