SciPy Generators (e.g., Nelder-Mead)

[ax3l]

Currently, optimas provides BO/MF-BO, random and grid sampling generators:
https://optimas.readthedocs.io/en/latest/api/generators.html

For many optimization jobs, it would also be helpful to have a fast converging, conventional algorithm available.
For this purpose, optimas could wrap a few SciPy Optimize methods, e.g., Nelder-Mead and L-BFGS-B.

https://docs.scipy.org/doc/scipy/reference/optimize.html

[AngelFP]

That's a good suggestion, but last time I had a look at this it wasn't possible because the scipy optimizers don't have an ask-tell interface that can separate the generation of trials from their execution. Maybe there are other libraries that could allow this.

[ax3l]

Oh, good point! I searched a little and found so far this:

• Pints (GitHub repo, dependencies)