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Bump SymReg version with loss output fix
f1ada9f
Better error message for out of date registries
bbfbae6
Clean up ImportError
2e834e3
Fix state saving when state is incomplete
6a6487d
Add reset function for state saving.
70dcb83
Add test for multirun
aa16a1e
Fix param hashing
2aa3c41
Fix parameter storing
9e00705
Start on state saving
ed19905
Format code with black
70a6907
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deepsource-autofix[bot]
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Update all docstrings
b7e75e1
Add warning if training on pandas dataframe then torch
aef1f27
Fix case of no extra mappings for jax/torch
e63cf2d
Fix callables when feature importance AND pandas used
555ddd0
Format code with black
1662e82
deepsource-autofix[bot]
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Fix get_params in PySRRegressor
b6f3a08
Fix test for PySRRegressor
e274713
Get PySRRegressor working with multi-output
ec8124e
Update parts of test to use ScikitLearn interface
af14165
Make default model selection = 'best'
a47d265
Remove deprecated _yesno function
38e582f
Add additional deprecation for best_row
a2862ab
Move everything into single PySRRegressor
66b15fc
Assert _set_globals can work with both X and n_features
205d866
Ensure that equations are up-to-date when getting model representations
7de1010
Add .latex() representation to PySRRegressor
f59f827
Add jax, pytorch, sympy output from Regressor
42cd6af
Test __repr__ of sklearn
0020398
Improve printed string
91a0f71
Add missing equation in __repr__
9905c12
Add __repr__ method that lists selected equation
d26d668
Autogenerate docstring for PySR Regressor
0bf77e2
Add missing weights argument to fit()
4582e28
Create scikit-learn API
cd54791
Automatically instantiate Project.toml
1b34e61
Cut frequency of simplification 1/5x
71b55ac
Bump SymbolicRegression version with SymbolicUtils fix
948a760
Fix variable_names in test
5fac847
Format code with black
505bce0
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Fix varMap for no feature selection
d11773b
Add test for Xresampled as pd.DataFrame
ffd9cd1
Merge pull request #90 from MilesCranmer/deepsource-transform-14177f66
5b09e72
unverified
Update TODOs
c0fe352
Format code with black
0bd453f
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