Hidden Markov Models in Python with scikit-learn like API

Navigation

Verified details

These details have been verified by PyPI
Maintainers
Avatar for anntzer from gravatar.com anntzer Avatar for blckmaxima from gravatar.com blckmaxima

Unverified details

These details have not been verified by PyPI
Project links
Meta
  • License: BSD License
  • Author: David Cournapeau, Fabian Pedregosa, Gael Varoquaux, Sergei Lebedev, Antony Lee, Matthew Danielson
  • Requires: Python >=3.8
  • Provides-Extra: docs, tests
Classifiers
Report project as malware

Project description

hmmlearn

GitHub PyPI
Read the Docs Build CodeCov

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.

Dependencies

The required dependencies to use hmmlearn are

  • Python >= 3.6

  • 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

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page