Hidden Markov Models in Python with scikit-learn like API

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  • License: BSD License
  • Author: David Cournapeau, Fabian Pedregosa, Gael Varoquaux, Sergei Lebedev, Antony Lee, Matthew Danielson
  • Requires: Python >=3.8
  • Provides-Extra: docs, tests
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Project description

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: BSD License
  • Author: David Cournapeau, Fabian Pedregosa, Gael Varoquaux, Sergei Lebedev, Antony Lee, Matthew Danielson
  • Requires: Python >=3.8
  • Provides-Extra: docs, tests
Classifiers

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