as defined in Mk/bsd.default-versions.mk which has moved from GCC 8.3
to GCC 9.1 under most circumstances now after revision 507371.
This includes ports
- with USE_GCC=yes or USE_GCC=any,
- with USES=fortran,
- using Mk/bsd.octave.mk which in turn features USES=fortran, and
- with USES=compiler specifying openmp, nestedfct, c11, c++0x, c++11-lang,
c++11-lib, c++14-lang, c++17-lang, or gcc-c++11-lib
plus, everything INDEX-11 shows with a dependency on lang/gcc9 now.
PR: 238330
Bayesian Optimization is a pure Python implementation of bayesian global
optimization with gaussian processes.
This is a constrained global optimization package built upon bayesian inference
and gaussian process, that attempts to find the maximum value of an unknown
function in as few iterations as possible. This technique is particularly suited
for optimization of high cost functions, situations where the balance between
exploration and exploitation is important.
WWW: https://github.com/fmfn/BayesianOptimization
