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Clean up number parsing from csv
9d1b70c
unverified
Implement regexp replacement of complex equations
8d1ba7d
unverified
Patch scikit-learn to allow complex numbers
0a6b4ab
unverified
Enable complex numbers
b2fc69c
unverified
Format code with black
33196fc
unverified
deepsource-autofix[bot]
commited on
Remove mention of `select_k_features` in feature warning
6db5312
unverified
Format code with black
048be9c
unverified
deepsource-autofix[bot]
commited on
Improve docs on `full_objective`
aa8371c
unverified
Add full objective test
c86910d
unverified
Add test for custom loss string
1d19a08
unverified
Allow user to specify whole loss function
eccee44
unverified
Include backend version with warm start fix
7cf6661
unverified
Bump PyJulia version
a6d1315
unverified
Bump backend version with data race fix
b3b408f
unverified
Update backend with constraints fix
093e55a
unverified
Fix precompilation logic
73e83d4
unverified
Keep precompilation on if compiled modules enabled
a6b3561
unverified
Automatically disable precompilation for static binaries
a74e308
unverified
Make precompilation optional
1c3eec5
unverified
Fix latex_table assertion for multi-output
a4ab4f4
unverified
Update name to `elementwise_loss`
f39bca3
unverified
Bump backend version with stream fix; fixes #250
6b34f10
unverified
Fix latex string tests
d045586
unverified
Fix bug with `cluster_manager` not loading
7c8d588
unverified
Format code with black
e7650cd
unverified
deepsource-autofix[bot]
commited on
Clean up Python init
e372ae8
Include test for changed options
5edf565
Don't activate env twice
d42f10b
Simplify julia options checking
e644737
Only print `set_diff` if has contents
b4abede
Tell user if Julia initialized with different params
4300bea
Clean up warning
d927d58
Format code with black
b61a54b
unverified
deepsource-autofix[bot]
commited on