libcmaes is a multithreaded C++11 library with Python bindings for high performance blackbox stochastic optimization using the CMA-ES algorithm for Covariance Matrix Adaptation Evolution Strategy
First of all, thank you for making your code available. It has been very helpful in our research.
Unfortunately, the latest (0.9.5) release of libcmaes does not contain any cmake files, which makes building on conda a bit problematic. The current conda-forge feedstock is outdated and fixing it would be easier if I had access to an updated release version that reflects the current master branch. Would you mind adding a release for the current master or are there any known problems with the current version that you would not want to have in a release?
Hi @beniz,
First of all, thank you for making your code available. It has been very helpful in our research. Unfortunately, the latest (0.9.5) release of libcmaes does not contain any cmake files, which makes building on conda a bit problematic. The current conda-forge feedstock is outdated and fixing it would be easier if I had access to an updated release version that reflects the current master branch. Would you mind adding a release for the current master or are there any known problems with the current version that you would not want to have in a release?
See discussion in: https://github.com/conda-forge/staged-recipes/pull/11679
Best, Andreas