Metadata-Version: 2.1
Name: scikit-mine
Version: 0.0.5
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
Description: .. 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
                
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          :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)
        
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
Provides-Extra: tests
Provides-Extra: docs
