py36-bayesian-optimization - Bayesian Optimization package

Property Value
Distribution FreeBSD 12
Repository FreeBSD Ports Quarterly amd64
Package filename py36-bayesian-optimization-1.0.1_1.txz
Package name py36-bayesian-optimization
Package version 1.0.1
Package release 1
Package architecture amd64
Package type txz
Category math python
License MIT
Download size 17.67 KB
Installed size 80.47 KB
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.


Package Version Architecture Repository
py36-bayesian-optimization-1.0.1_1.txz 1.0.1 amd64 FreeBSD Ports Latest
py36-bayesian-optimization-1.0.1_1.txz 1.0.1 i386 FreeBSD Ports Latest
py36-bayesian-optimization-1.0.1_1.txz 1.0.1 i386 FreeBSD Ports Quarterly
py36-bayesian-optimization - - -


Name Value
py36-numpy = 1.16.5,1
py36-scikit-learn = 0.20.3_1
py36-scipy = 1.2.2_1
py36-setuptools = 41.2.0
python36 = 3.6.9


Type URL
Binary Package py36-bayesian-optimization-1.0.1_1.txz
Source Package math/py-bayesian-optimization

Install Howto

Install py36-bayesian-optimization txz package:

# pkg install py36-bayesian-optimization

See Also

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