v1.1.0

Updates from v1.0.0:

(1) Now Python 3 compatible.

(2) Summary statistics added for training

(3) The ability to tie edges is added

(4) Freezing and thawing distributions to prevent them from changing during training added

(5) Inertia added as an option for distribution updating.

(6) Extensive nosetests added.

YAHMM v1.0

This release accompanies the submission to Bioinformatics of the paper titled YAHMM: Easy Hidden Markov Models in Python.

Please see the wiki for detailed information on each of the algorithms, examples, and sample IPython notebooks.