Commit History

Merge branch 'sklearn' of github.com:MilesCranmer/PySR into sklearn
a05a888

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Format code with black
70a6907
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Update which things are documented in API doc
35a3c2d

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Update all docstrings
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Add tmux to dockerfile
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Add warning if training on pandas dataframe then torch
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Fix case of no extra mappings for jax/torch
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Update more parts of docs
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Fix callables when feature importance AND pandas used
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Turn off tracking for multi-output temp files
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MilesCranmer commited on

Format code with black
1662e82

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Fix get_params in PySRRegressor
b6f3a08

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Fix test for PySRRegressor
e274713

MilesCranmer commited on

Get PySRRegressor working with multi-output
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MilesCranmer commited on

Update parts of test to use ScikitLearn interface
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Make default model selection = 'best'
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MilesCranmer commited on

Remove deprecated _yesno function
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Add additional deprecation for best_row
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Move everything into single PySRRegressor
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MilesCranmer commited on

Assert _set_globals can work with both X and n_features
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Ensure that equations are up-to-date when getting model representations
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Don't include README in docker
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MilesCranmer commited on

Add .latex() representation to PySRRegressor
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Add PySRRegressor versions of jax/torch tests
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Add jax, pytorch, sympy output from Regressor
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Update documentation for sklearn interface
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Update README example
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MilesCranmer commited on

Format code with black
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deepsource-autofix[bot] commited on

Update README to use scikit-learn API
fadf4db

MilesCranmer commited on

Test more parts of sklearn API
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MilesCranmer commited on

Test __repr__ of sklearn
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Improve printed string
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Format code with black
895da91

deepsource-autofix[bot] commited on

Add missing equation in __repr__
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Add __repr__ method that lists selected equation
d26d668

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Fix broken test statement
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Autogenerate docstring for PySR Regressor
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Add missing weights argument to fit()
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Add PySRRegressor test
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Add scikit-learn as required install
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Create scikit-learn API
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Check dockerfile to trigger docker CI
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Add back Docker code
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