Uses of Interface
com.aliasi.hmm.HiddenMarkovModel

Packages that use HiddenMarkovModel

Package	Description
com.aliasi.hmm	Classes for estimating and decoding hidden Markov models.

Uses of HiddenMarkovModel in com.aliasi.hmm

Classes in com.aliasi.hmm that implement HiddenMarkovModel

Modifier and Type	Class and Description
class	AbstractHmm An AbstractHmm is an abstract implementation of a hidden Markov model which manages a symbol table and defines the basic methods in terms of the symbolic linear probability methods.
class	AbstractHmmEstimator An HmmEstimator may be used to train a hidden Markov model (HMM).
class	HmmCharLmEstimator An HmmCharLmEstimator employs a maximum a posteriori transition estimator and a bounded character language model emission estimator.

Methods in com.aliasi.hmm that return HiddenMarkovModel

Modifier and Type	Method and Description
HiddenMarkovModel	HmmDecoder.getHmm() Returns the hidden Markov model underlying this decoder.

Constructors in com.aliasi.hmm with parameters of type HiddenMarkovModel

Constructor and Description
HmmDecoder(HiddenMarkovModel hmm) Construct an HMM decoder from the specified HMM.
HmmDecoder(HiddenMarkovModel hmm, Map<String,double[]> emissionCache, Map<String,double[]> emissionLog2Cache) Construct an HMM decoder from the specified HMM using the specified caches for linear and log probabilities.
HmmDecoder(HiddenMarkovModel hmm, Map<String,double[]> emissionCache, Map<String,double[]> emissionLog2Cache, double log2Beam, double log2EmissionBeam) Construct an HMM decoder from the specified HMM using the specified caches for linear and log probabilities, with the specified beam width for emission estimates.