HeterogeneousHMM Versions Save

Discrete, Gaussian, and Heterogenous HMM models full implemented in Python. Missing data, Model Selection Criteria (AIC/BIC), and Semi-Supervised training supported. Easily extendable with other types of probablistic models.

v2.0.0

2 years ago
  • The structure of the library was redesigned.
  • Online documentation was created using Sphinx.
  • This version will be released on pypi.

v1.0.1

4 years ago

The documentation has been updated

v1.0.0

4 years ago