PySIPS

User Guide

  • Quickstart Guide
    • Installation
    • Basic Usage
    • Expected Output
    • Understanding the Parameters
    • Accessing Results
    • Next Steps
    • Common Issues
  • PySIPS Tutorial
    • Table of Contents
    • 1. Basic Symbolic Regression
    • 2. Multivariate Regression
    • 3. Customizing Available Operators
      • Available operators:
    • 4. Model Selection Strategies
    • 5. Checkpointing for Long Runs
    • 6. Hyperparameter Tuning
    • 7. Analyzing the Posterior Distribution
    • Advanced Topics
      • Mutation and Crossover Control
      • Expression Complexity Control
      • SMC Sampling Control
    • Best Practices
    • Troubleshooting
      • Issue: Fitting is too slow
      • Issue: Poor model quality
      • Issue: Overfitting
      • Issue: Checkpoint file corrupted
    • Further Resources

API Reference

  • PySIPS API Documentation
    • API Reference
      • Main Components
        • PysipsRegressor
      • Core Modules
        • Sampler
        • Prior
        • Metropolis
        • Laplace NMLL
      • Proposal Mechanisms
        • Mutation Proposal
        • Crossover Proposal
        • Random Choice Proposal
    • Quick Links
PySIPS
  • Python Module Index

Python Module Index

p
 
p
- pysips
    pysips.crossover_proposal
    pysips.laplace_nmll
    pysips.metropolis
    pysips.mutation_proposal
    pysips.prior
    pysips.random_choice_proposal
    pysips.sampler

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