Update docs

Ensure that equations are up-to-date when getting model representations

Don't include README in docker

Add .latex() representation to PySRRegressor

Add PySRRegressor versions of jax/torch tests

Update docs

Add jax, pytorch, sympy output from Regressor

Update documentation for sklearn interface

Update README example

Update start.md

Format code with black

Update README to use scikit-learn API

Test more parts of sklearn API

Test __repr__ of sklearn

Improve printed string

Format code with black

Add missing equation in __repr__

Add __repr__ method that lists selected equation

Fix broken test statement

Autogenerate docstring for PySR Regressor

Add missing weights argument to fit()

Add PySRRegressor test

Add scikit-learn as required install

Create scikit-learn API

Check dockerfile to trigger docker CI

Add back Docker code

Install QEMU in docker nightly action

Fix use of ARG in Dockerfile

Turn off fail-fast mode for docker nightly

Create multi-arch CI testing

Exclude julia-nightly as unstable

Update README

Add missing /bin/bash to docker workflow

Fix workflow display

Fix docker CI

Rename workflows

Add CI for dockerfile

Fix dockerfile to not include Project.toml

Merge pull request #93 from MilesCranmer/simplification_fix

Allow running large job manually

Make large nightly job run with fail-fast=false

Automatically instantiate Project.toml

Bump to 0.7.0a3

Cut frequency of simplification 1/5x

Bump SymbolicRegression version with SymbolicUtils fix

Reduce test size

Fix misplaced code in test

Fix variable_names in test

Give more populations to final test

Fix variable_names in test