com.numericalmethod.suanshu.stats.hmm.rabiner

Class HmmGamma

java.lang.Object

com.numericalmethod.suanshu.stats.hmm.rabiner.HmmGamma

All Implemented Interfaces:

java.io.Serializable

public class HmmGamma
extends java.lang.Object
implements java.io.Serializable

γ is the probability of the system in state s_i, given the model and observation sequence.

γ_t(i) = P(q_t = s_i | Ω, λ)

See Also:

Serialized Form

Constructor Summary

Constructors

Constructor and Description
HmmGamma(HiddenMarkovModel model) Construct the gamma matrix generator.

Method Summary

Modifier and Type	Method and Description
Matrix	gamma(int[] observations) Get the (T * N) γ matrix, where the (t, i)-th entry is γt(i).

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

HmmGamma

public HmmGamma(HiddenMarkovModel model)

Construct the gamma matrix generator.

Parameters:

model - a (discrete) hidden Markov model

Method Detail

gamma

public Matrix gamma(int[] observations)

Get the (T * N) γ matrix, where the (t, i)-th entry is γ_t(i).

Parameters:

observations - an integer array of observation symbols (length = T). Each symbol is a positive integer less than or equal to M (the number of observation symbols per state).

Returns:

the gamma matrix