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Port details
py-bayesian-optimization Bayesian Optimization package
1.0.1_1 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 1.0.1Version 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: 2019-08-03 21:55:40
SVN Revision: 508004
Also Listed In: python
License: MIT
Description:
SVNWeb : Homepage

There is no configure plist information for this port.

Dependency lines:
  • py36-bayesian-optimization>0:math/py-bayesian-optimization
To install the port: cd /usr/ports/math/py-bayesian-optimization/ && make install clean
To add the package: pkg install py36-bayesian-optimization
PKGNAME: py36-bayesian-optimization
Package flavors (<flavor>: <package>)
  • py36: py36-bayesian-optimization
  • py27: py27-bayesian-optimization
distinfo:

Dependencies
NOTE: FreshPorts displays only information on required and default dependencies. Optional dependencies are not covered.
Build dependencies:
  1. py36-setuptools>0 : devel/py-setuptools@py36
  2. python3.6 : lang/python36
Runtime dependencies:
  1. py36-numpy>0 : math/py-numpy@py36
  2. py36-scikit-learn>=0.18.0 : science/py-scikit-learn@py36
  3. py36-scipy>=0.14.0 : science/py-scipy@py36
  4. py36-setuptools>0 : devel/py-setuptools@py36
  5. python3.6 : lang/python36
This port is required by:
for Run
  1. math/py-nevergrad

Configuration Options

USES:

Master Sites:
  1. https://files.pythonhosted.org/packages/source/b/bayesian-optimization/
  2. https://pypi.org/packages/source/b/bayesian-optimization/
Notes from UPDATING
These upgrade notes are taken from /usr/ports/UPDATING
  • 2017-11-30
    Affects: */py*
    Author: mat@FreeBSD.org
    Reason: 
      Ports using Python via USES=python are now flavored.  All the py3-* ports
      have been removed and folded into their py-* master ports.
    
      People using Poudriere 3.2+ and binary packages do not have to do anything.
    
      For other people, to build the Python 3.6 version of, for example,
      databases/py-gdbm, you need to run:
    
        # make FLAVOR=py36 install
    
    

Number of commits found: 4

Commit History - (may be incomplete: see SVNWeb link above for full details)
DateByDescription
03 Aug 2019 20:55:40
Original commit files touched by this commit  1.0.1_1
Revision:508004
sunpoet search for other commits by this committer
Use PYNUMPY
26 Jul 2019 20:46:57
Original commit files touched by this commit  1.0.1_1
Revision:507372
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  1.0.1
Revision:492948
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  1.0.0
Revision:490584
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: 4

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