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Port details
py-bayesian-optimization Bayesian Optimization package
1.2.0 math on this many watch lists=0 search for ports that depend on this port Find issues related to this port Report an issue related to this port View this port on Repology. pkg-fallout 1.2.0Version of this port present on the latest quarterly branch.
Maintainer: sunpoet@FreeBSD.org search for ports maintained by this maintainer
Port Added: 2019-01-17 19:21:25
Last Update: 2021-04-18 05:43:46
Commit Hash: 1efa890a
Also Listed In: python
License: MIT
Description:
SVNWeb : git : Homepage
pkg-plist: as obtained via: make generate-plist
There is no configure plist information for this port.
Dependency lines:
  • ${PYTHON_PKGNAMEPREFIX}bayesian-optimization>0:math/py-bayesian-optimization@${PY_FLAVOR}
To install the port: cd /usr/ports/math/py-bayesian-optimization/ && make install clean
To add the package, run one of these commands:
  • pkg install math/py-bayesian-optimization
  • pkg install py38-bayesian-optimization
NOTE: This is a Python port. Instead of py38-bayesian-optimization listed in the above command, you can pick from the names under the Packages section.
PKGNAME: py38-bayesian-optimization
Package flavors (<flavor>: <package>)
  • py38: py38-bayesian-optimization
distinfo:
Packages (timestamps in pop-ups are UTC):
py37-bayesian-optimization
ABIlatestquarterly
FreeBSD:11:aarch64-1.2.0
FreeBSD:11:amd64--
FreeBSD:11:armv6--
FreeBSD:11:i386--
FreeBSD:11:mips--
FreeBSD:11:mips64--
FreeBSD:12:aarch64--
FreeBSD:12:amd64--
FreeBSD:12:armv6--
FreeBSD:12:armv7--
FreeBSD:12:i386--
FreeBSD:12:mips--
FreeBSD:12:mips64--
FreeBSD:12:powerpc64-1.2.0
FreeBSD:13:aarch641.2.0-
FreeBSD:13:amd64--
FreeBSD:13:armv6--
FreeBSD:13:armv7--
FreeBSD:13:i386--
FreeBSD:13:mips--
FreeBSD:13:mips64--
FreeBSD:13:powerpc64--
FreeBSD:14:aarch64--
FreeBSD:14:amd64--
FreeBSD:14:armv6--
FreeBSD:14:armv7--
FreeBSD:14:i386--
FreeBSD:14:mips--
FreeBSD:14:mips64--
FreeBSD:14:powerpc641.2.0-
 
py38-bayesian-optimization
ABIlatestquarterly
FreeBSD:11:aarch64--
FreeBSD:11:amd641.2.01.2.0
FreeBSD:11:armv6--
FreeBSD:11:i3861.2.01.2.0
FreeBSD:11:mips--
FreeBSD:11:mips64--
FreeBSD:12:aarch64-1.2.0
FreeBSD:12:amd641.2.01.2.0
FreeBSD:12:armv6--
FreeBSD:12:armv7--
FreeBSD:12:i3861.2.01.2.0
FreeBSD:12:mips--
FreeBSD:12:mips64--
FreeBSD:12:powerpc64--
FreeBSD:13:aarch64-1.2.0
FreeBSD:13:amd641.2.01.2.0
FreeBSD:13:armv6--
FreeBSD:13:armv7--
FreeBSD:13:i3861.2.01.2.0
FreeBSD:13:mips--
FreeBSD:13:mips64--
FreeBSD:13:powerpc64--
FreeBSD:14:aarch641.2.0-
FreeBSD:14:amd641.2.0-
FreeBSD:14:armv6--
FreeBSD:14:armv7--
FreeBSD:14:i3861.2.0-
FreeBSD:14:mips--
FreeBSD:14:mips64--
FreeBSD:14:powerpc64--
 

Dependencies
NOTE: FreshPorts displays only information on required and default dependencies. Optional dependencies are not covered.
Build dependencies:
  1. py38-setuptools>0 : devel/py-setuptools@py38
  2. python3.8 : lang/python38
Runtime dependencies:
  1. py38-numpy>=1.9.0,1 : math/py-numpy@py38
  2. py38-scikit-learn>=0.18.0 : science/py-scikit-learn@py38
  3. py38-scipy>=0.14.0 : science/py-scipy@py38
  4. py38-setuptools>0 : devel/py-setuptools@py38
  5. python3.8 : lang/python38
This port is required by:
for Run
  1. math/py-nevergrad

Configuration Options:
Options name:

USES:

FreshPorts was unable to extract/find any pkg message
Master Sites:
Expand this list (2 items)
Collapse this list.
  1. https://files.pythonhosted.org/packages/source/b/bayesian-optimization/
  2. https://pypi.org/packages/source/b/bayesian-optimization/
Collapse this list.

Number of commits found: 9

Commit History - (may be incomplete: see SVNWeb link above for full details)
DateByDescription
18 Apr 2021 05:43:46
 files touched by this commit commit hash:1efa890a7716de6781d374f7612a6fd731f8a73d  1.2.0
sunpoet search for other commits by this committer
math/py-bayesian-optimization: Remove PYNUMPY
06 Apr 2021 14:31:07
 files touched by this commit commit hash:305f148f482daf30dcf728039d03d019f88344eb  1.2.0
mat search for other commits by this committer
Remove # $FreeBSD$ from Makefiles.
17 May 2020 20:17:28
Original commit files touched by this commit Revision:535660  1.2.0
sunpoet search for other commits by this committer
Update to 1.2.0

Changes:	https://github.com/fmfn/BayesianOptimization/releases
21 Feb 2020 18:57:06
Original commit files touched by this commit Revision:526659  1.1.0
sunpoet search for other commits by this committer
Update to 1.1.0

Changes:	https://github.com/fmfn/BayesianOptimization/releases
17 Dec 2019 13:33:40
Original commit files touched by this commit Revision:520330  1.0.1_1
antoine search for other commits by this committer
Unbreak bulk -a
03 Aug 2019 20:55:40
Original commit files touched by this commit Revision:508004  1.0.1_1
sunpoet search for other commits by this committer
Use PYNUMPY
26 Jul 2019 20:46:57
Original commit files touched by this commit Revision:507372  1.0.1_1
gerald search for other commits by this committer
Bump PORTREVISION for ports depending on the canonical version of GCC
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
14 Feb 2019 22:41:23
Original commit files touched by this commit Revision:492948  1.0.1
sunpoet search for other commits by this committer
Update to 1.0.1

Changes:	https://github.com/fmfn/BayesianOptimization/releases
17 Jan 2019 19:20:56
Original commit files touched by this commit Revision:490584  1.0.0
sunpoet search for other commits by this committer
Add py-bayesian-optimization 1.0.0

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

Number of commits found: 9