Metadata-Version: 2.1
Name: scikit-mine
Version: 0.0.4
Summary: Pattern mining in Python
Home-page: https://github.com/scikit-mine/scikit-mine
Maintainer: R. Adon
Maintainer-email: remi.adon@gmail.com
License: new BSD
Download-URL: https://github.com/scikit-mine/scikit-mine
Platform: UNKNOWN
Classifier: Intended Audience :: Science/Research
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved
Classifier: Programming Language :: Python
Classifier: Topic :: Software Development
Classifier: Topic :: Scientific/Engineering
Classifier: Operating System :: Microsoft :: Windows
Classifier: Operating System :: POSIX
Classifier: Operating System :: Unix
Classifier: Operating System :: MacOS
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Description-Content-Type: text/x-rst
Requires-Dist: scipy (<1.6,>=1.2.1)
Requires-Dist: pandas (>=1.0.0)
Requires-Dist: joblib (>=0.11.1)
Requires-Dist: sortedcontainers (>=2.1.0)
Requires-Dist: roaringbitmap (==0.7) ; platform_system != "Windows"
Provides-Extra: docs
Requires-Dist: sphinx ; extra == 'docs'
Requires-Dist: sphinx-gallery ; extra == 'docs'
Requires-Dist: sphinx-rtd-theme ; extra == 'docs'
Requires-Dist: numpydoc ; extra == 'docs'
Requires-Dist: matplotlib ; extra == 'docs'
Provides-Extra: tests
Requires-Dist: pytest ; extra == 'tests'
Requires-Dist: pytest-cov ; extra == 'tests'

.. image:: https://img.shields.io/pypi/v/scikit-mine.svg
    :target: https://pypi.python.org/pypi/scikit-mine/


.. image:: https://codecov.io/gh/remiadon/scikit-mine/branch/master/graph/badge.svg
  :target: https://codecov.io/gh/remiadon/scikit-mine

.. image:: https://img.shields.io/badge/powered%20by-INRIA-orange.svg?style=flat&colorA=384257&colorB=E23324
  :target: https://www.inria.fr/en


Scikit-mine : pattern mining in Python

* **Descriptive analysis**, leading to **interpretable**, concise descriptions using the `Minimum Description Length Principle <https://en.wikipedia.org/wiki/Minimum_description_length>`_
* **Fast** Algorithms
* **Simple, extendable API**, inspired by scikit-learn_

.. _scikit-learn: https://scikit-learn.org/


Resources
---------

* Free software: BSD license
* GitHub: https://github.com/scikit-mine/scikit-mine
* 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_.


.. _here: https://github.com/scikit-mine/scikit-mine/tree/master/docs/tutorials


Dependencies
------------

scikit-mine requires Python>=3.6,
and some extra dependencies

* scipy>=1.2.1
* pandas>=1.0.0
* sortedcontainers>=2.1.0
* roaringbitmap==0.7
* joblib>=0.11.1

**scikit-learn** is not a dependency. However, scikit-mine is **contiuously tested for interactions with scikit-learn**

Development
-----------

This project is funded by the `INRIA center in Rennes, Brittany, France <https://www.inria.fr/fr/centre-inria-rennes-bretagne-atlantique>`_.

We welcome new contributors of all experience levels. 


Contributors
------------

- Rémi Adon (https://github.com/remiadon)
- Peggy Cellier (https://github.com/PeggyCellier)
- Alexandre Termier (https://github.com/alexandre-termier)
- Luis Galárraga (https://github.com/lgalarra)
- Josie Signe (https://github.com/Darlysia)


