Chapter 1. Main classes

Table of Contents

1.1. Hidden Markov Models
1.2. Observations

1.1. Hidden Markov Models [1]

The cornerstone class defined in Jahmm is obviously Hmm It holds the basic components of a HMM: state-to-state transition probabilities, observation probability distributions, number of states,... There is no such thing as a ``State'' class, so each state is simply designated by an integer index; a sequence of states is thus implemented as an array of integers [2].



[1] This document is not a tutorial on HMMs. Please refer to Chapter 8 for a few reference papers.

[2] See this example to see how to build a simple HMM.