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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Update Flux compat #642

Closed vavrines closed 10 months ago

vavrines commented 10 months ago

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Additional context

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codecov[bot] commented 10 months ago

Codecov Report

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

Comparison is base (cbb1fe3) 7.74% compared to head (302698c) 7.74%.

Additional details and impacted files ```diff @@ Coverage Diff @@ ## master #642 +/- ## ====================================== Coverage 7.74% 7.74% ====================================== Files 40 40 Lines 2699 2699 ====================================== Hits 209 209 Misses 2490 2490 ```

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