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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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Use larger step size in ADAM in polyalgorithm #628

Closed Vaibhavdixit02 closed 3 months ago

Vaibhavdixit02 commented 9 months ago

Using very small stepsize doesn't make sense since the point is to more effectively explore the parameter space

codecov[bot] commented 9 months ago

Codecov Report

Attention: 6 lines in your changes are missing coverage. Please review.

Comparison is base (a7ab9f1) 0.00% compared to head (a0b19d5) 8.27%.

Files Patch % Lines
...onPolyalgorithms/src/OptimizationPolyalgorithms.jl 0.00% 6 Missing :warning:
Additional details and impacted files ```diff @@ Coverage Diff @@ ## master #628 +/- ## ========================================= + Coverage 0.00% 8.27% +8.27% ========================================= Files 12 40 +28 Lines 1141 2707 +1566 ========================================= + Hits 0 224 +224 - Misses 1141 2483 +1342 ```

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