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optimagic-dev / optimagic

optimagic is a Python package for numerical optimization. It is a unified interface to optimizers from SciPy, NlOpt and other packages. optimagic's minimize function works just like SciPy's, so you don't have to adjust your code. You simply get more optimizers for free. On top you get diagnostic tools, parallel numerical derivatives and more.
https://optimagic.readthedocs.io/
MIT License
266 stars 30 forks source link

Polishing #532

Closed janosg closed 1 month ago

janosg commented 1 month ago
codecov[bot] commented 1 month ago

Codecov Report

All modified and coverable lines are covered by tests :white_check_mark:

Files with missing lines Coverage Δ
src/estimagic/__init__.py 96.36% <100.00%> (ø)
src/estimagic/bootstrap.py 99.06% <100.00%> (ø)
src/estimagic/bootstrap_outcomes.py 100.00% <100.00%> (ø)
src/estimagic/estimate_ml.py 82.47% <100.00%> (ø)
src/estimagic/estimate_msm.py 89.68% <100.00%> (ø)
src/estimagic/estimation_table.py 84.33% <100.00%> (-0.04%) :arrow_down:
src/estimagic/examples/logit.py 96.96% <ø> (ø)
src/estimagic/lollipop_plot.py 100.00% <ø> (ø)
src/estimagic/ml_covs.py 84.14% <100.00%> (ø)
src/estimagic/msm_covs.py 100.00% <100.00%> (ø)
... and 4 more