API Reference
=============

This section contains the complete API documentation for PySIPS.

Main Components
---------------

The primary interface to PySIPS is through the :class:`~pysips.PysipsRegressor` class, which provides a scikit-learn compatible API for Bayesian symbolic regression.

PysipsRegressor
~~~~~~~~~~~~~~~

.. autoclass:: pysips.PysipsRegressor
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Core Modules
------------

These modules provide the underlying implementation of the symbolic regression algorithm.

Sampler
~~~~~~~

.. automodule:: pysips.sampler
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Prior
~~~~~

.. automodule:: pysips.prior
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Metropolis
~~~~~~~~~~

.. automodule:: pysips.metropolis
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Laplace NMLL
~~~~~~~~~~~~

.. automodule:: pysips.laplace_nmll
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Proposal Mechanisms
-------------------

Mutation Proposal
~~~~~~~~~~~~~~~~~

.. automodule:: pysips.mutation_proposal
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Crossover Proposal
~~~~~~~~~~~~~~~~~~

.. automodule:: pysips.crossover_proposal
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Random Choice Proposal
~~~~~~~~~~~~~~~~~~~~~~

.. automodule:: pysips.random_choice_proposal
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