.. _api:

PySIPS API Documentation
========================

.. toctree::
   :maxdepth: 2

   pysips

The PySIPS package provides a complete framework for Bayesian symbolic regression using sequential Monte Carlo.

Quick Links
-----------

* :class:`pysips.PysipsRegressor` - Main regressor interface
* :mod:`pysips.sampler` - Sequential Monte Carlo sampling
* :mod:`pysips.prior` - Prior distribution over symbolic expressions
* :mod:`pysips.laplace_nmll` - Laplace approximation for model evaluation

For detailed usage examples, see the :doc:`../tutorial`.