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symbolic-regression

Discover governing equations from data using PySR (evolutionary symbolic regression). Physics-constrained search with dimensional analysis, custom operators, and complexity-accuracy tradeoffs. Use when you need an interpretable equation, not a black-box model.

backend/cli/skills/physics/symbolic-regression/SKILL.md

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# Symbolic Regression (PySR)

## Overview

Discover symbolic equations that fit data using PySR — a multi-population evolutionary algorithm with a Julia backend. PySR searches over the space of mathematical expressions to find equations that balance accuracy and simplicity.

## When to Use

- Discovering governing equations from experimental data
- Finding conservation laws or invariants
- Replacing black-box ML models with interpretable formulas
- Dimensional analysis-constrained equation search
- Validating theoretical predictions against data