Update which things are documented in API doc

Update all docstrings

Add tmux to dockerfile

Fix JAX test

Fix pytorch test

Add warning if training on pandas dataframe then torch

Fix case of no extra mappings for jax/torch

Fix JAX test

Update more parts of docs

Fix callables when feature importance AND pandas used

Turn off tracking for multi-output temp files

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Fix get_params in PySRRegressor

Fix test for PySRRegressor

Get PySRRegressor working with multi-output

Update parts of test to use ScikitLearn interface

Make default model selection = 'best'

Remove deprecated _yesno function

Add additional deprecation for best_row

Move everything into single PySRRegressor

Assert _set_globals can work with both X and n_features

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

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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