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XAI-Lib
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Welcome to the documentation of **XAI-Lib** - an integrated Python library for Explainable AI (XAI).
**XAI-Lib** provides a unified interface for various explanation methods, making machine learning models more interpretable and transparent. The library simplifies the process of explaining black-box models across different data types.
.. note::
This project is part of the `XAI Project `_ - a European initiative focused on advancing explainable artificial intelligence research and applications.
About This Documentation
========================
This documentation is formatted in `reStructuredText`_ and built with `Sphinx`_. It provides comprehensive information about:
- Installation and getting started
- Available explanation methods
- API reference
- Usage examples
- Contributing guidelines
The documentation uses the `autodoc`_ extension to include documentation from docstrings, which are written in `Google style`_.
Contents
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.. toctree::
:maxdepth: 2
Overview
Contributions & Help
License
Authors
Changelog
Module Reference
Indices and tables
==================
* :ref:`genindex`
* :ref:`modindex`
* :ref:`search`
Acknowledgments
===============
This library is developed as part of the **XAI Project** (`https://xai-project.eu/ `_), a European initiative dedicated to advancing explainable artificial intelligence.
The XAI Project aims to:
* Develop new methods for explainable AI
* Create practical tools for AI transparency
* Foster collaboration between research and industry
* Promote responsible AI development
For more information about the XAI Project, visit `https://xai-project.eu/ `_.
.. _toctree: https://www.sphinx-doc.org/en/master/usage/restructuredtext/directives.html
.. _reStructuredText: https://www.sphinx-doc.org/en/master/usage/restructuredtext/basics.html
.. _references: https://www.sphinx-doc.org/en/stable/markup/inline.html
.. _Python domain syntax: https://www.sphinx-doc.org/en/master/usage/restructuredtext/domains.html#the-python-domain
.. _Sphinx: https://www.sphinx-doc.org/
.. _Python: https://docs.python.org/
.. _Numpy: https://numpy.org/doc/stable
.. _SciPy: https://docs.scipy.org/doc/scipy/reference/
.. _matplotlib: https://matplotlib.org/contents.html#
.. _Pandas: https://pandas.pydata.org/pandas-docs/stable
.. _Scikit-Learn: https://scikit-learn.org/stable
.. _autodoc: https://www.sphinx-doc.org/en/master/ext/autodoc.html
.. _Google style: https://google.github.io/styleguide/pyguide.html#38-comments-and-docstrings
.. _NumPy style: https://numpydoc.readthedocs.io/en/latest/format.html
.. _classical style: https://www.sphinx-doc.org/en/master/domains.html#info-field-lists