Package: python3-bayesian-optimization
Source: python-bayesian-optimization
Version: 2.0.1-1
Architecture: all
Maintainer: Ubuntu Developers <ubuntu-devel-discuss@lists.ubuntu.com>
Original-Maintainer: Debian Python Team <team+python@tracker.debian.org>
Installed-Size: 129
Depends: python3-colorama, python3-numpy, python3-scipy, python3-sklearn, python3:any
Section: python
Priority: optional
Homepage: https://github.com/bayesian-optimization/BayesianOptimization
Description: Bayesian Optimization package
 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.
