PySIPS API Documentation

• API Reference
  • Main Components
  • Core Modules
  • Proposal Mechanisms

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

Quick Links

• pysips.PysipsRegressor - Main regressor interface

• pysips.sampler - Sequential Monte Carlo sampling

• pysips.prior - Prior distribution over symbolic expressions

• pysips.laplace_nmll - Laplace approximation for model evaluation

For detailed usage examples, see the PySIPS Tutorial.