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

GXY2017/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.

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

 
 
 

Languages

  • Python 88.4%
  • PowerShell 5.9%
  • Batchfile 2.8%
  • Shell 2.3%
  • Makefile 0.6%