public class MixtureHMMEM extends MixtureHMM
|Modifier and Type||Class and Description|
the result of the EM algorithm
|Constructor and Description|
Constructs a mixture HMM model by training an initial model using the Baum-Welch algorithm.
|Modifier and Type||Method and Description|
Constructs a trained mixture hidden Markov model, one iteration.
logProbability, logProbability, logProbability
A, bin, getStationaryProbabilities, nextState, nStates, PI
public MixtureHMMEM(double observations, MixtureHMM model0, double epsilon, int maxIterations)
observations- the observations
model0- an initial model
epsilon- a precision parameter: when a number |x| ≤ ε, it is considered 0
maxIterations- the maximum number of iterations
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