Hidden-Markov-Model-Toolkit

Simple discrete (DHMM) and continuous Hidden Markov Model (CHMM) library

============================================================================

 You MUST

		#define HMMTK_DEFINE

 in EXACTLY _one_ C or C++ file that includes this header, BEFORE the
 include, like this:

		#define HMMTK_DEFINE
		#include "hmmtk.h"

 All other files should just #include "hmmtk.h" without the #define.

============================================================================

Version History

	1.2   Added labelled/constrained Baum-Welch training
	
	1.1   Fixed memory leak, fixed the chmm_outprob() function (= P(x|mu, var)), all 
	      values of A, B and pi are now stored as ln() internally instead of converting 
	      them in the HMM functions
	      
	1.0   Initial release containing basic discrete and continuous hmm functions

CITATION

If you use this HMM Toolkit in a publication, please reference:

Voshol, G.P. (2020). HMMTK: A simple HMM Toolkit (Version 1.2) [Software]. Available from https://github.com/gerbenvoshol/Hidden-Markov-Model-Toolkit

NOTE

When using the continuous Hidden Markov Model please do not forget to set the DIM variable in hmmtk.h #define DIM 4