hmm is a Python module designed to work with Hidden Markov Models. The usual algorithms (Viterbi, Baum-Welsh) are implemented using Numeric Python.
| Tags | Scientific/Engineering Artificial Intelligence Mathematics Software Development Libraries Python Modules |
|---|---|
| Licenses | GPL |
| Operating Systems | OS Independent |
| Implementation | Python |
Recent releases


Release Notes: An important bug preventing convergence when learning long inputs was removed. Key parts of the Baum Welsh algorithm were rewritten in C for performance (x150 speedup).


Release Notes: This release adds two learning algorithms, supervised learning and unsupervised learning from several short examples.


Release Notes: Some errors which prevented the viterbi algorithm from working in some cases was fixed.


No changes have been submitted for this release.