naharul98/hmmlearn

Hidden Markov Models in Python, with scikit-learn like API

hmmlearn

hmmlearn is a set of algorithms for unsupervised learning and inference of Hidden Markov Models. For supervised learning learning of HMMs and similar models see seqlearn.

Note: This package is under limited-maintenance mode. Moreover, if you are able to help with testing on macOS, please have a look at hmmlearn#370; your help will be greatly appreciated.

Important links

• Official source code repo: https://github.com/hmmlearn/hmmlearn
• HTML documentation (stable release): https://hmmlearn.readthedocs.org/en/stable
• HTML documentation (development version): https://hmmlearn.readthedocs.org/en/latest

Dependencies

The required dependencies to use hmmlearn are

• Python >= 3.5
• NumPy >= 1.10
• scikit-learn >= 0.16

You also need Matplotlib >= 1.1.1 to run the examples and pytest >= 2.6.0 to run the tests.

Installation

Requires a C compiler and Python headers.

To install from PyPI:

pip install --upgrade --user hmmlearn

To install from the repo:

pip install --user git+https://github.com/hmmlearn/hmmlearn