| Class | Description |
|---|---|
| HiddenMarkovModel |
This is the mixture hidden Markov model (HMM).
|
| HmmBaumWelch |
The Baum–Welch algorithm is used to find the unknown parameters of a hidden Markov model (HMM)
by making use of the forward-backward algorithm.
|
| HmmBaumWelch.TrainedModel |
the result of the Baum-Welch algorithm
|
| HmmForwardBackward |
The implementation of the forward-backward algorithm computes the log of forward and backward probabilities,
give a sequence of observations and the hmm model.
|
| HmmViterbi |
The Viterbi algorithm is a dynamic programming algorithm for finding the most likely sequence of hidden states
– called the Viterbi path –
that results in a sequence of observed events,
especially in the context of Markov information sources and hidden Markov models.
|