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mirror of https://git.FreeBSD.org/ports.git synced 2024-11-21 00:25:50 +00:00

New port: science/py-GPyOpt: Bayesian optimization toolbox based on GPy

This commit is contained in:
Yuri Victorovich 2018-12-18 06:36:16 +00:00
parent 4c4a05c73c
commit 4b2e9a901c
Notes: svn2git 2021-03-31 03:12:20 +00:00
svn path=/head/; revision=487730
4 changed files with 41 additions and 0 deletions

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@ -206,6 +206,7 @@
SUBDIR += pulseview
SUBDIR += py-DendroPy
SUBDIR += py-GPy
SUBDIR += py-GPyOpt
SUBDIR += py-PyFR
SUBDIR += py-lifelines
SUBDIR += py-MDAnalysis

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# $FreeBSD$
PORTNAME= GPyOpt
DISTVERSION= 1.2.5
CATEGORIES= science python
MASTER_SITES= CHEESESHOP
PKGNAMEPREFIX= ${PYTHON_PKGNAMEPREFIX}
MAINTAINER= yuri@FreeBSD.org
COMMENT= Bayesian optimization toolbox based on GPy
LICENSE= BSD3CLAUSE
LICENSE_FILE= ${WRKSRC}/LICENSE.txt
RUN_DEPENDS= ${PYNUMPY} \
${PYTHON_PKGNAMEPREFIX}scipy>=0.16:science/py-scipy@${PY_FLAVOR} \
${PYTHON_PKGNAMEPREFIX}GPy>=1.8>0:science/py-GPy@${PY_FLAVOR}
USES= python
USE_PYTHON= distutils concurrent autoplist
NO_ARCH= yes
.include <bsd.port.mk>

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TIMESTAMP = 1545114436
SHA256 (GPyOpt-1.2.5.tar.gz) = f92276dd47dc5129ca3e83f6604e4f902a845bbd3226d9c2c6a2f6b942973a18
SIZE (GPyOpt-1.2.5.tar.gz) = 55158

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GPyOpt is a Python open-source library for Bayesian Optimization developed by
the Machine Learning group of the University of Sheffield. It is based on GPy,
a Python framework for Gaussian process modelling.
With GPyOpt you can:
* Automatically configure your models and Machine Learning algorithms.
* Design your wet-lab experiments saving time and money.
Among other functionalities, with GPyOpt you can design experiments in parallel,
use cost models and mix different types of variables in your designs. Many users
already use GpyOpt for research purposes.
WWW: https://sheffieldml.github.io/GPyOpt/