Metadata-Version: 2.4
Name: mlstatpy
Version: 0.5.0
Summary: Points de détails liés au machine learning
Home-page: https://github.com/sdpython/mlstatpy
Author: Xavier Dupré
Author-email: Xavier Dupré <xavier.dupre@gmail.com>
License: ﻿Copyright (c) 2016-2024, Xavier Dupré
        
        Permission is hereby granted, free of charge, to any person obtaining a copy
        of this software and associated documentation files (the "Software"), to deal
        in the Software without restriction, including without limitation the rights
        to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
        copies of the Software, and to permit persons to whom the Software is
        furnished to do so, subject to the following conditions:
        
        The above copyright notice and this permission notice shall be included in
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        THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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Project-URL: homepage, https://sdpython.github.io/doc/mlstatpy/dev/
Project-URL: documentation, https://sdpython.github.io/doc/mlstatpy/dev/
Project-URL: repository, https://github.com/sdpython/mlstatpy/
Project-URL: changelog, https://sdpython.github.io/doc/mlstatpy/dev/CHANGELOGS.html
Keywords: cython,scikit-learn,machine-learning
Classifier: Intended Audience :: Science/Research
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: C
Classifier: Programming Language :: Python
Classifier: Topic :: Software Development
Classifier: Topic :: Scientific/Engineering
Classifier: Development Status :: 5 - Production/Stable
Classifier: Operating System :: Microsoft :: Windows
Classifier: Operating System :: POSIX
Classifier: Operating System :: Unix
Classifier: Operating System :: MacOS
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.10
Classifier: Programming Language :: Python :: 3.11
Classifier: Programming Language :: Python :: 3.12
Classifier: Programming Language :: Python :: 3.13
Requires-Python: >=3.10
Description-Content-Type: text/x-rst
License-File: LICENSE.txt
Requires-Dist: numpy>=2
Requires-Dist: scikit-learn>=1.5
Requires-Dist: scipy
Dynamic: author
Dynamic: home-page
Dynamic: license-file


.. image:: https://github.com/sdpython/sphinx-runpython/raw/main/_doc/_static/logo.png
    :width: 120

mlstatpy: détours mathématiques autour du machine learning
==========================================================

.. image:: https://ci.appveyor.com/api/projects/status/5env33qptorgshaq?svg=true
    :target: https://ci.appveyor.com/project/sdpython/mlstatpy
    :alt: Build Status Windows

.. image:: https://circleci.com/gh/sdpython/mlstatpy/tree/main.svg?style=svg
    :target: https://circleci.com/gh/sdpython/mlstatpy/tree/main

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    :target: https://pypi.org/project/mlstatpy/

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    :alt: MIT License
    :target: https://opensource.org/license/MIT/

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    :target: https://codecov.io/github/sdpython/mlstatpy/

.. image:: http://img.shields.io/github/issues/sdpython/mlstatpy.png
    :alt: GitHub Issues
    :target: https://github.com/sdpython/mlstatpy/issues

Le module contient essentiellement des digressions mathématiques
autour du machine learning. Parmi les choses intéressantes,
une courbe *ROC* avec intervalle de confiance, détection
automatique de segment dans une image, un algorithme
d'autocomplétion, une distance d'édition entre graphes,
des petites choses pour les données de Wikipedia,
un algorithme de conversion d'un arbre de décision en
réseaux de neurones.

The package mostly contains documentation. It also implements
some code rarely needed such as ROC curve with bandwidth,
automated segment detection in a image, some simple autocomplete
algorithm, a graph edit distance, some helpers on Wikipedia data,
an algorithm to convert decision trees into neural network.

* `documentation <https://sdpython.github.io/doc/mlstatpy/dev/>`_
