Scikit-mine : pattern mining in Python
Descriptive analysis, leading to interpretable, concise descriptions using the Minimum Description Length Principle
Fast Algorithms
Simple, extendable API, inspired by scikit-learn
Resources
Free software: BSD license
Documentation: https://scikit-mine.github.io/scikit-mine/
Quickstart
scikit-mine is a Python module for pattern mining built on top of Pandas/Numpy/SciPy and is distributed under the 3-Clause BSD license.
It is currently maintained by a team of volunteers.
See examples in the tutorials; the notebooks are available here. To execute the tutorials, you will have to install jupyter notebook or jupyterlab (https://jupyter.org/install)
Dependencies
scikit-mine requires Python>=3.8, and some extra dependencies
scipy>=1.2.1
pandas>=1.0.0
pyroaring>=0.3.4
joblib>=0.11.1
sortedcontainers>=2.1.0
dataclasses>=0.6
networkx
wget>=3.2
scikit-learn
graphviz
matplotlib
pydot
Development
This project is funded by the INRIA center in Rennes, Brittany, France.
We welcome new contributors of all experience levels.
Internal Contributors
Rémi Adon (https://github.com/remiadon)
Luis Galárraga (https://github.com/lgalarra)
Josie Signe (https://github.com/Darlysia)
Esther Galbrun (https://github.com/nurblageij)
Hermann Courteille (https://github.com/hermann74)
Cyril Regan (https://github.com/cyril-data)
Thomas Betton (https://github.com/thomasbtnfr)
1 maintainer
Release files for scikit-mine 1.0.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| scikit-mine-1.0.0.tar.gz | 104.8 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| scikit_mine-1.0.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 223.6 kB
Release files / scikit-mine-1.0.0.tar.gz
| Download URL | scikit-mine-1.0.0.tar.gz |
|---|---|
| Size | 104.8 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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Release files / scikit_mine-1.0.0-py3-none-any.whl
| Download URL | scikit_mine-1.0.0-py3-none-any.whl |
|---|---|
| Size | 118.8 kB |
| Tags | Python 3 |
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twine/3.2.0 pkginfo/1.9.6 requests/2.28.2 setuptools/65.5.0 requests-toolbelt/0.10.1 tqdm/4.65.0 CPython/3.11.3
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