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
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Add aggregate convergence plot, averaging over benchmark problems #439

Closed mpetrosian closed 1 year ago

mpetrosian commented 1 year ago

To do:

codecov[bot] commented 1 year ago

Codecov Report

Merging #439 (b314a3e) into main (01a4f9c) will increase coverage by 0.16%. The diff coverage is 98.72%.

@@            Coverage Diff             @@
##             main     #439      +/-   ##
==========================================
+ Coverage   92.87%   93.04%   +0.16%     
==========================================
  Files         234      244      +10     
  Lines       17596    18111     +515     
==========================================
+ Hits        16342    16851     +509     
- Misses       1254     1260       +6     
Impacted Files Coverage Δ
...agic/optimization/tranquilo/thourough_subsolver.py 22.22% <0.00%> (-4.10%) :arrow_down:
src/estimagic/visualization/profile_plot.py 90.24% <ø> (ø)
tests/optimization/tranquilo/test_adjust_radius.py 100.00% <ø> (ø)
src/estimagic/optimization/nag_optimizers.py 82.65% <33.33%> (-3.22%) :arrow_down:
...imagic/optimization/tranquilo/tranquilo_history.py 77.55% <87.50%> (-1.24%) :arrow_down:
src/estimagic/optimization/tranquilo/models.py 95.83% <96.55%> (-0.25%) :arrow_down:
src/estimagic/optimization/tranquilo/tranquilo.py 97.18% <98.96%> (+0.67%) :arrow_up:
...agic/optimization/tranquilo/acceptance_decision.py 100.00% <100.00%> (ø)
...c/optimization/tranquilo/acceptance_sample_size.py 100.00% <100.00%> (ø)
.../estimagic/optimization/tranquilo/adjust_radius.py 100.00% <100.00%> (ø)
... and 20 more

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