Skip to content
forked from hmmlearn/hmmlearn

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

License

Notifications You must be signed in to change notification settings

vvright/hmmlearn

 
 

Repository files navigation

hmmlearn travis appveyor

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 has currently no maintainer. Nobody will answer questions. In particular, the person who is making this code available on Github will not answer questions, fix bugs, or maintain the package in any way.

If you are interested in contributing, or fixing bugs, please open an issue on Github and we will gladly give you contributor rights.

Important links

Dependencies

The required dependencies to use hmmlearn are

  • Python >= 2.6
  • NumPy (tested to work with >=1.9.3)
  • SciPy (tested to work with >=0.16.0)
  • 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

First make sure you have installed all the dependencies listed above. Then run the following command:

pip install -U --user hmmlearn

About

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

Resources

License

Stars

Watchers

Forks

Packages

No packages published

Languages

  • Python 89.1%
  • PowerShell 5.7%
  • Batchfile 2.7%
  • Shell 1.9%
  • Makefile 0.6%