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

Merge pull request #92 from MilesCranmer/deepsource-transform-bbdb553a

Format code with black

Fix varMap for no feature selection

Fix syntax in conda test

Add test for Xresampled as pd.DataFrame

Convert static libpython test to proper unittest

Merge Conda CI to CI.yml