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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

Batches #459

Closed mpetrosian closed 1 year ago

mpetrosian commented 1 year ago
codecov[bot] commented 1 year ago

Codecov Report

Merging #459 (e4e6d5b) into main (582caa4) will increase coverage by 0.01%. The diff coverage is 97.16%.

@@            Coverage Diff             @@
##             main     #459      +/-   ##
==========================================
+ Coverage   93.26%   93.27%   +0.01%     
==========================================
  Files         247      247              
  Lines       18000    18045      +45     
==========================================
+ Hits        16787    16831      +44     
- Misses       1213     1214       +1
Impacted Files Coverage Δ
src/estimagic/optimization/tranquilo/tranquilo.py 97.26% <ø> (ø)
tests/visualization/test_convergence_plot.py 100.00% <ø> (ø)
tests/visualization/test_deviation_plot.py 100.00% <ø> (ø)
src/estimagic/visualization/convergence_plot.py 88.52% <50.00%> (-1.31%) :arrow_down:
tests/optimization/test_history_collection.py 98.41% <97.29%> (-1.59%) :arrow_down:
src/estimagic/optimization/get_algorithm.py 93.10% <97.77%> (+0.13%) :arrow_up:
...stimagic/benchmarking/process_benchmark_results.py 95.65% <100.00%> (+0.09%) :arrow_up:
src/estimagic/benchmarking/run_benchmark.py 93.90% <100.00%> (+0.15%) :arrow_up:
...imagic/optimization/internal_criterion_template.py 83.09% <100.00%> (+0.61%) :arrow_up:
src/estimagic/visualization/deviation_plot.py 100.00% <100.00%> (ø)
... and 3 more

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