Hidden Markov Models in Python with scikit-learn like API

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  • License: OSI Approved (new BSD)
  • Maintainer: Antony Lee
  • Requires: Python >=3.6
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hmmlearn

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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

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  • License: OSI Approved (new BSD)
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MD5 8829397f12197e374366a4cb7e9c62d4
BLAKE2b-256 86b491b2f1587ca9970cf335a1540b017901985a664efd78091694b048e7f419

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