hmmlearn
Hidden Markov Models in Python, with scikit-learn like API
Science Score: 23.0%
This score indicates how likely this project is to be science-related based on various indicators:
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○CITATION.cff file
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✓codemeta.json file
Found codemeta.json file -
○.zenodo.json file
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○DOI references
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○Academic publication links
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✓Committers with academic emails
9 of 48 committers (18.8%) from academic institutions -
○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (12.3%) to scientific vocabulary
Keywords from Contributors
closember
parallel-computing
timeseries-analysis
robust-estimation
regression-models
prediction
hypothesis-testing
generalized-linear-models
econometrics
count-model
Last synced: 10 months ago
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JSON representation
Repository
Hidden Markov Models in Python, with scikit-learn like API
Basic Info
- Host: GitHub
- Owner: hmmlearn
- License: bsd-3-clause
- Language: Python
- Default Branch: main
- Homepage: http://hmmlearn.readthedocs.org
- Size: 2.2 MB
Statistics
- Stars: 3,180
- Watchers: 122
- Forks: 740
- Open Issues: 77
- Releases: 0
Created over 12 years ago
· Last pushed over 1 year ago
Metadata Files
Readme
Changelog
License
Authors
README.rst
hmmlearn
========
| |GitHub| |PyPI|
| |Read the Docs| |Build| |CodeCov|
.. |GitHub|
image:: https://img.shields.io/badge/github-hmmlearn%2Fhmmlearn-brightgreen
:target: https://github.com/hmmlearn/hmmlearn
.. |PyPI|
image:: https://img.shields.io/pypi/v/hmmlearn.svg?color=brightgreen
:target: https://pypi.python.org/pypi/hmmlearn
.. |Read the Docs|
image:: https://readthedocs.org/projects/hmmlearn/badge/?version=latest
:target: http://hmmlearn.readthedocs.io/en/latest/?badge=latest
.. |Build|
image:: https://img.shields.io/github/actions/workflow/status/hmmlearn/hmmlearn/build.yml?branch=main
:target: https://github.com/hmmlearn/hmmlearn/actions
.. |CodeCov|
image:: https://img.shields.io/codecov/c/github/hmmlearn/hmmlearn
:target: https://codecov.io/gh/hmmlearn/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_.
.. _seqlearn: https://github.com/larsmans/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
Owner
- Name: hmmlearn
- Login: hmmlearn
- Kind: organization
- Repositories: 1
- Profile: https://github.com/hmmlearn
GitHub Events
Total
- Issues event: 12
- Watch event: 171
- Issue comment event: 14
- Push event: 2
- Pull request event: 3
- Fork event: 12
- Create event: 1
Last Year
- Issues event: 12
- Watch event: 171
- Issue comment event: 14
- Push event: 2
- Pull request event: 3
- Fork event: 12
- Create event: 1
Committers
Last synced: about 1 year ago
Top Committers
| Name | Commits | |
|---|---|---|
| Sergei Lebedev | s****y@g****m | 180 |
| Antony Lee | a****e@g****m | 145 |
| Matthew Danielson | m****n@g****m | 24 |
| Gael Varoquaux | g****x@n****g | 18 |
| Kai Wohlfahrt | k****3@c****k | 9 |
| Alex Rockhill | a****l@m****g | 8 |
| Aubrey Li | a****e@g****m | 4 |
| Christopher L. Farrow | c****w@e****m | 4 |
| Sagun B | s****b@g****m | 4 |
| dizcza | d****a@g****m | 4 |
| Daniela Huppenkothen | d****n@n****u | 3 |
| Anne Borcherding | a****g@i****e | 2 |
| Matthew Danielson | m****5@s****k | 2 |
| Egor | m****d@g****m | 2 |
| simon | s****i@s****e | 2 |
| rfc | r****n@g****m | 2 |
| csytracy | c****y@g****m | 2 |
| Lars Buitinck | l****k@e****l | 2 |
| David Law | d****w@g****m | 2 |
| stevenjkern | k****0@g****m | 1 |
| yanenkoa | y****r@g****m | 1 |
| John Swinbank | j****s@j****e | 1 |
| DataDisruptor | d****1@s****u | 1 |
| Matthias Plappert | m****t@s****u | 1 |
| William Song | 3****l | 1 |
| Vilém Zouhar | v****r@g****m | 1 |
| Valérian Rey | 3****y | 1 |
| Trang Tran | t****3 | 1 |
| Tim Gates | t****s@i****m | 1 |
| Scott Gigante | s****e | 1 |
| and 18 more... | ||
Committer Domains (Top 20 + Academic)
puresoftware.com: 1
techfak.uni-bielefeld.de: 1
rutgers.edu: 1
crans.org: 1
live.co.uk: 1
tuix.org: 1
iress.com: 1
student.kit.edu: 1
stevens.edu: 1
jackdaw.home: 1
esciencecenter.nl: 1
stud.uni-due.de: 1
st-andrews.ac.uk: 1
iosb.fraunhofer.de: 1
nyu.edu: 1
enthought.com: 1
mailbox.org: 1
cam.ac.uk: 1
normalesup.org: 1
Issues and Pull Requests
Last synced: 10 months ago
All Time
- Total issues: 97
- Total pull requests: 80
- Average time to close issues: 6 months
- Average time to close pull requests: 16 days
- Total issue authors: 89
- Total pull request authors: 18
- Average comments per issue: 3.18
- Average comments per pull request: 2.66
- Merged pull requests: 54
- Bot issues: 0
- Bot pull requests: 0
Past Year
- Issues: 10
- Pull requests: 14
- Average time to close issues: 9 days
- Average time to close pull requests: 9 days
- Issue authors: 10
- Pull request authors: 5
- Average comments per issue: 0.2
- Average comments per pull request: 1.21
- Merged pull requests: 6
- Bot issues: 0
- Bot pull requests: 0
Top Authors
Issue Authors
- Freakwill (3)
- HenryBao91 (3)
- yonniejon (2)
- ZnCuHHH (2)
- ethan-skinner99 (2)
- TheMyNameABC (2)
- Ergodyne (1)
- evd995 (1)
- gao462 (1)
- EvanSongkkk (1)
- Lblackhurst29 (1)
- outpaddling (1)
- user293811 (1)
- bapowellphys (1)
- njzjz (1)
Pull Request Authors
- blckmaxima (36)
- alexrockhill (9)
- anntzer (9)
- dizcza (4)
- njzjz (3)
- glivv (2)
- StevenChen16 (2)
- Dobatymo (2)
- tianguangye (2)
- mr-c (2)
- trangham283 (2)
- ValerianRey (1)
- Freakwill (1)
- hbredin (1)
- tuix (1)
Top Labels
Issue Labels
bug (3)
question (1)
needs-info (1)
enhancement (1)
Pull Request Labels
Packages
- Total packages: 3
-
Total downloads:
- pypi 115,552 last-month
- Total docker downloads: 1,484
-
Total dependent packages: 37
(may contain duplicates) -
Total dependent repositories: 430
(may contain duplicates) - Total versions: 25
- Total maintainers: 3
pypi.org: hmmlearn
Hidden Markov Models in Python with scikit-learn like API
- Documentation: https://hmmlearn.readthedocs.io/
- License: BSD License
-
Latest release: 0.3.3
published over 1 year ago
Rankings
Dependent packages count: 0.5%
Dependent repos count: 0.7%
Downloads: 0.8%
Average: 1.1%
Stargazers count: 1.4%
Forks count: 1.6%
Docker downloads count: 1.6%
Maintainers (2)
Last synced:
over 1 year ago
conda-forge.org: hmmlearn
- Homepage: https://github.com/hmmlearn/hmmlearn
- License: BSD-3-Clause
-
Latest release: 0.2.8
published almost 4 years ago
Rankings
Forks count: 6.1%
Stargazers count: 7.7%
Average: 10.3%
Dependent repos count: 11.6%
Dependent packages count: 15.6%
Last synced:
11 months ago
spack.io: py-hmmlearn
hmmlearn is a set of algorithms for unsupervised learning and inference of Hidden Markov Models.
- Homepage: https://github.com/hmmlearn/hmmlearn
- License: []
-
Latest release: 0.3.3
published over 1 year ago
Rankings
Dependent repos count: 0.0%
Average: 29.3%
Dependent packages count: 58.6%
Maintainers (1)
Last synced:
11 months ago
Dependencies
setup.py
pypi
- numpy >=1.10
- scikit-learn >=0.16
- scipy >=0.19
.github/workflows/build.yml
actions
- actions/checkout v3 composite
- actions/setup-python v2 composite
- actions/upload-artifact v2 composite
- codecov/codecov-action v1 composite
- docker/setup-qemu-action v1 composite