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SciML / Optimization.jl

Mathematical Optimization in Julia. Local, global, gradient-based and derivative-free. Linear, Quadratic, Convex, Mixed-Integer, and Nonlinear Optimization in one simple, fast, and differentiable interface.
https://docs.sciml.ai/Optimization/stable/
MIT License
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Add callback to MOI #601

Closed Vaibhavdixit02 closed 10 months ago

Vaibhavdixit02 commented 10 months ago

allow a logging callback and disable verbosity when it's passed

codecov[bot] commented 10 months ago

Codecov Report

Merging #601 (cb304de) into master (7acb4d5) will increase coverage by 6.50%. Report is 1 commits behind head on master. The diff coverage is 0.00%.

@@            Coverage Diff            @@
##           master    #601      +/-   ##
=========================================
+ Coverage    2.15%   8.66%   +6.50%     
=========================================
  Files          40      40              
  Lines        2688    2690       +2     
=========================================
+ Hits           58     233     +175     
+ Misses       2630    2457     -173
Files Coverage Δ
lib/OptimizationMOI/src/OptimizationMOI.jl 1.36% <ø> (+0.03%) :arrow_up:
lib/OptimizationMOI/src/nlp.jl 0.00% <0.00%> (ø)

... and 8 files with indirect coverage changes

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