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Hi! Congratulations on your CMA-ES method! I myself am developing an optimization method, and I'm using your method for comparison purposes. Your method is very competitive, I can't reach its converge…
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Modular CMA is packaged and should be easy to integrate in Nevergrad.
Example of usage of "modcma" below:
import random
import numpy as np
from modcma import AskTellCMAES
DIMENSION = 10
…
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I'm using this package for testing of my [CMAES implementation](https://github.com/jbrea/CMAEvolutionStrategy.jl), but failed to run the tests on julia 1.6 with the registered version. Would it be pos…
jbrea updated
3 years ago
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It would be good to get the local optimums together with the "global". Is this already possible? If yes how can I do it?
In some cases, one might want to choose a local optimum that is, in some s…
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EDIT: these have become first-time loading times. After the first time, the max loading time is now
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Encountered it while running CF on the NJR benchmark.
### Stacktrace
```
An exception has occurred in the compiler (11.0.22). Please file a bug against the Java compiler via the Java bug reportin…
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I've had problems building cctbx with the cma_es package. I'm using an intel compiler, and I am seeing warnings that indicate that this code is not C++11 compliant. I think I may be hitting a bug in…
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Implement model fitting
- [x] [Bazin et al 2009](https://ui.adsabs.harvard.edu/abs/2009A%26A...499..653B/abstract)
- [x] light-curve/light-curve#89
- [ ] light-curve/light-curve-feature#8
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**What I am trying to do?**
Build the project as is (except targeting `AnyCPU` instead of `x86`), and ensure tests pass.
I also tried to modernize the project to target .NET Standard 2.0 and upd…