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Better error handling for import error
5d9233a
Change PySR defaults; fixes #99
d01ec4b
Turn off symbolic utils
0428573
Apply verbosity=0 to Pkg statements
e0e2933
Bump SymReg version with domainerror fix
42cb8bb
Fix uninformative error message for best_row; fixes #100
de2d4ba
Fix old docstring
688c82c
Try quieting all Pkg commands
0ef4d05
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Add quiet mode to julia.install; fixes #97
afca090
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Better error message for out of date registries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
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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
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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
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
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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
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Update TODOs
c0fe352
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