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 minibatch.md #671

Closed Vaibhavdixit02 closed 6 months ago

Vaibhavdixit02 commented 6 months ago

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codecov[bot] commented 6 months ago

Codecov Report

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

Comparison is base (a2ea13c) 8.93% compared to head (3db471b) 0.00%.

Additional details and impacted files ```diff @@ Coverage Diff @@ ## master #671 +/- ## ========================================= - Coverage 8.93% 0.00% -8.94% ========================================= Files 31 12 -19 Lines 2506 1119 -1387 ========================================= - Hits 224 0 -224 + Misses 2282 1119 -1163 ```

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