Hidden Markov Models in Python with scikit-learn like API
Project Links
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Author: David Cournapeau, Fabian Pedregosa, Gael Varoquaux, Sergei Lebedev, Antony Lee, Matthew Danielson
Requires Python: >=3.8
Classifiers
Development Status
- 3 - Alpha
License
- OSI Approved :: BSD License
Intended Audience
- Developers
- Science/Research
Topic
- Software Development
- Scientific/Engineering
Programming Language
- Python
- Python :: 3
hmmlearn
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.
Important links
Official source code repo: https://github.com/hmmlearn/hmmlearn
HTML documentation (stable release): https://hmmlearn.readthedocs.org/en/stable
HTML documentation (development version): https://hmmlearn.readthedocs.org/en/latest
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
0.3.3
Oct 31, 2024
0.3.2
Mar 02, 2024
0.3.0
Apr 18, 2023
0.2.8
Sep 26, 2022
0.2.7
Feb 10, 2022
0.2.6
Jul 18, 2021
0.2.5
Feb 03, 2021
0.2.4
Sep 12, 2020
0.2.3
Dec 17, 2019
0.2.2
May 06, 2019
0.2.1
Oct 17, 2018
0.2.0
Mar 01, 2016
0.1.1
Feb 09, 2015
Wheel compatibility matrix
Files in release
hmmlearn-0.3.3-cp310-cp310-macosx_10_9_universal2.whl (191.0KiB)
hmmlearn-0.3.3-cp310-cp310-macosx_10_9_x86_64.whl (127.4KiB)
hmmlearn-0.3.3-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (158.8KiB)
hmmlearn-0.3.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (160.8KiB)
hmmlearn-0.3.3-cp310-cp310-win_amd64.whl (122.9KiB)
hmmlearn-0.3.3-cp311-cp311-macosx_10_9_universal2.whl (193.9KiB)
hmmlearn-0.3.3-cp311-cp311-macosx_10_9_x86_64.whl (128.9KiB)
hmmlearn-0.3.3-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (159.5KiB)
hmmlearn-0.3.3-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (162.0KiB)
hmmlearn-0.3.3-cp311-cp311-win_amd64.whl (124.1KiB)
hmmlearn-0.3.3-cp312-cp312-macosx_10_9_universal2.whl (191.5KiB)
hmmlearn-0.3.3-cp312-cp312-macosx_10_9_x86_64.whl (127.8KiB)
hmmlearn-0.3.3-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (159.7KiB)
hmmlearn-0.3.3-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (162.1KiB)
hmmlearn-0.3.3-cp312-cp312-win_amd64.whl (124.3KiB)
hmmlearn-0.3.3-cp313-cp313-macosx_10_13_universal2.whl (191.6KiB)
hmmlearn-0.3.3-cp313-cp313-macosx_10_13_x86_64.whl (127.8KiB)
hmmlearn-0.3.3-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (159.6KiB)
hmmlearn-0.3.3-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (162.1KiB)
hmmlearn-0.3.3-cp313-cp313-win_amd64.whl (124.3KiB)
hmmlearn-0.3.3-cp38-cp38-macosx_10_9_universal2.whl (190.8KiB)
hmmlearn-0.3.3-cp38-cp38-macosx_10_9_x86_64.whl (127.3KiB)
hmmlearn-0.3.3-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (158.5KiB)
hmmlearn-0.3.3-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (160.7KiB)
hmmlearn-0.3.3-cp38-cp38-win_amd64.whl (122.9KiB)
hmmlearn-0.3.3-cp39-cp39-macosx_10_9_universal2.whl (191.2KiB)
hmmlearn-0.3.3-cp39-cp39-macosx_10_9_x86_64.whl (127.5KiB)
hmmlearn-0.3.3-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (158.9KiB)
hmmlearn-0.3.3-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (160.9KiB)
hmmlearn-0.3.3-cp39-cp39-win_amd64.whl (123.1KiB)
hmmlearn-0.3.3.tar.gz (76.7KiB)
