.. SPFlow documentation master file, created by sphinx-quickstart

========
SPFlow
========

**SPFlow** is a Python library for building and learning **Probabilistic Circuits (PCs)** with PyTorch.

Probabilistic Circuits are a flexible and expressive family of probabilistic graphical models that support both exact and approximate inference in linear time for a wide range of queries.

Quick Navigation
================

- :doc:`Getting Started <getting_started>` — Installation and quick start guide
- :doc:`Concepts <concepts>` — Core SPFlow concepts and semantics
- :doc:`User Guide <guides/user_guide>` — Comprehensive tutorials and examples
- :doc:`Developer Guide <guides/dev_guide>` — Contributing and development setup
- :doc:`API Reference <api/index>` — Complete API documentation
- :doc:`FAQ <faq>` — Frequently asked questions

.. toctree::
    :maxdepth: 2
    :hidden:

    getting_started
    concepts
    guides/user_guide
    guides/dev_guide
    api/index
    faq


Indices and tables
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* :ref:`genindex`
* :ref:`modindex`
* :ref:`search`