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
Release files for hmmlearn 0.3.3
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| hmmlearn-0.3.3.tar.gz | 78.5 kB | Details |
Built distributions (wheels)
Total release size: 4.8 MB
Release files / hmmlearn-0.3.3.tar.gz
| Download URL | hmmlearn-0.3.3.tar.gz |
|---|---|
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| Tags | Source |
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Release files / hmmlearn-0.3.3-cp313-cp313-win_amd64.whl
| Download URL | hmmlearn-0.3.3-cp313-cp313-win_amd64.whl |
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Release files / hmmlearn-0.3.3-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
| Download URL | hmmlearn-0.3.3-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl |
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Release files / hmmlearn-0.3.3-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
| Download URL | hmmlearn-0.3.3-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl |
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Release files / hmmlearn-0.3.3-cp313-cp313-macosx_10_13_x86_64.whl
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Release files / hmmlearn-0.3.3-cp312-cp312-win_amd64.whl
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Release files / hmmlearn-0.3.3-cp311-cp311-win_amd64.whl
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Release files / hmmlearn-0.3.3-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
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Release files / hmmlearn-0.3.3-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.1 CPython/3.12.7
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Release files / hmmlearn-0.3.3-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl
| Download URL | hmmlearn-0.3.3-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl |
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| Size | 164.5 kB |
| Tags | CPython 3.8 Linux glibc 2.17+ x86-64 |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.1 CPython/3.12.7
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Release files / hmmlearn-0.3.3-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl
| Download URL | hmmlearn-0.3.3-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl |
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| Size | 162.3 kB |
| Tags | CPython 3.8 Linux glibc 2.17+ ARM64 |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.1 CPython/3.12.7
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Release files / hmmlearn-0.3.3-cp38-cp38-macosx_10_9_x86_64.whl
| Download URL | hmmlearn-0.3.3-cp38-cp38-macosx_10_9_x86_64.whl |
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| Size | 130.3 kB |
| Tags | CPython 3.8 macOS 10.9+ x86-64 |
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SHA-256 checksum How to use checksums |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.1 CPython/3.12.7
|
Release files / hmmlearn-0.3.3-cp38-cp38-macosx_10_9_universal2.whl
| Download URL | hmmlearn-0.3.3-cp38-cp38-macosx_10_9_universal2.whl |
|---|---|
| Size | 195.3 kB |
| Tags | CPython 3.8 macOS 10.9+ universal2 (ARM64, x86-64) |
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SHA-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.1 CPython/3.12.7
|