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Do not store custom loss in Julia main
fb2f513
Add missing default in docstring
893fdd2
Add deterministic mode with new SR version
25e0721
Fixed weight checking
c51257e
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Fix to pass test_custom_operator
19d80b0
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Added validation for weights
4819728
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Passed check_dict_unchanged
9750ff9
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Don't check array if set to None
11f524f
Updated parameter validation
6881818
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Add warm_start
3e8d44d
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Cleaned test and docstring
3821242
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New updated checkpoint loading and tests
fbb7cf7
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Added pickle support
bd90cfc
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Added control of random_state for numpy and julia
3ef5500
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Merge branch 'master' into refactor-PySRRegressor
a62a370
unverified
TODO for refactoring Julia interface
5bbefa6
unverified
Check shape length after validation
43b3838
Move binary_operator assertion to after they are defined
f0c64cb
Make __init__ not modify parameters again
3dff82f
Fix occurrence of size warning
e7b4ea9
Fix variable selection for PyTorch
7602382
Fix feature selection for JAX export
b4cb407
Move shape checking to fit()
bad0567
Remove additional changes to internal parameters
358f0ab
Remove misplaced parameter changes
40f498c
Create function to setup equation file during fit
f06ee71
Process params in __init__ instead of fit
43bc86a
Move shape checking to _validate_fit_params
406ae3e
Hotfix for selection test
e790ec3
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Fixed issues outlined in pull request review
83d8e67
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Cleanup
db9848f
Clean up example in docstring
cfa9a72
Move numpy export code to separate file
5a01e6f
Cleanup
780b3a0
Expand docstring for PySRRegressor
2fbf19c
Preserve PySRRegressor.equations but with deprecation
be87321
Tidy up code
a828c23
Tweak docstring
0387e10
Fixed typos and ensured tests pass
19ef535
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Add docstring to julia helpers file
ce60798
additional fixes
4173a8b
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fixed issues from deepsource
9490776
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Updated tests for compatibility with refactor
c7187a6
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Fixed jax export compatibility with refactor
73c6ffd
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Refactor PySRRegressor for scikit-learn
32a2de6
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Moved julia helper functions out of sr.py
6baa534
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