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
715 stars 79 forks source link

add Hyperopt.jl as an Optimizer #482

Open schlichtanders opened 1 year ago

schlichtanders commented 1 year ago

I am wondering why Hyperopt is not included in the optimizers.

ChrisRackauckas commented 1 year ago

Someone just has to write the code.

Vaibhavdixit02 commented 1 year ago

There was an attempt but it didn't make it through https://github.com/SciML/Optimization.jl/pull/124

baggepinnen commented 1 year ago

I'd recommend against spending time including Hyperopt.jl (I'm the author of Hyperopt). The Hyperopt package has grown into more than what it was originally intended to be, and the internals have not been redesigned appropriately to handle all the new use cases. I only use very limited features of Hyperopt myself, and all the code contributed by the community to this package doesn't currently have anyone who wants to maintain it.