freebsd-ports/math/py-bayesian-optimization/Makefile

# Created by: Po-Chuan Hsieh <sunpoet@FreeBSD.org>

PORTNAME=	bayesian-optimization
PORTVERSION=	1.2.0
CATEGORIES=	math python
MASTER_SITES=	CHEESESHOP
PKGNAMEPREFIX=	${PYTHON_PKGNAMEPREFIX}

MAINTAINER=	sunpoet@FreeBSD.org
COMMENT=	Bayesian Optimization package

LICENSE=	MIT

RUN_DEPENDS=	${PYNUMPY} \
		${PYTHON_PKGNAMEPREFIX}scikit-learn>=0.18.0:science/py-scikit-learn@${PY_FLAVOR} \
		${PYTHON_PKGNAMEPREFIX}scipy>=0.14.0:science/py-scipy@${PY_FLAVOR}

USES=		python:3.5+
USE_PYTHON=	autoplist concurrent distutils

NO_ARCH=	yes

.include <bsd.port.mk>
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 2019-01-17 20:20:56 +01:00			`# Created by: Po-Chuan Hsieh <sunpoet@FreeBSD.org>`

			`PORTNAME= bayesian-optimization`
Update to 1.2.0 Changes: https://github.com/fmfn/BayesianOptimization/releases 2020-05-17 22:17:27 +02:00			`PORTVERSION= 1.2.0`
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 2019-01-17 20:20:56 +01:00			`CATEGORIES= math python`
			`MASTER_SITES= CHEESESHOP`
			`PKGNAMEPREFIX= ${PYTHON_PKGNAMEPREFIX}`

			`MAINTAINER= sunpoet@FreeBSD.org`
			`COMMENT= Bayesian Optimization package`

			`LICENSE= MIT`

Use PYNUMPY 2019-08-03 22:55:40 +02:00			`RUN_DEPENDS= ${PYNUMPY} \`
Add py-bayesian-optimization 1.0.0 Bayesian Optimization is a pure Python implementation of bayesian global optimization with gaussian processes. This is a constrained global optimization package built upon bayesian inference and gaussian process, that attempts to find the maximum value of an unknown function in as few iterations as possible. This technique is particularly suited for optimization of high cost functions, situations where the balance between exploration and exploitation is important. WWW: https://github.com/fmfn/BayesianOptimization 2019-01-17 20:20:56 +01:00			`${PYTHON_PKGNAMEPREFIX}scikit-learn>=0.18.0:science/py-scikit-learn@${PY_FLAVOR} \`
			`${PYTHON_PKGNAMEPREFIX}scipy>=0.14.0:science/py-scipy@${PY_FLAVOR}`

Unbreak bulk -a 2019-12-17 14:33:40 +01:00			`USES= python:3.5+`
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 2019-01-17 20:20:56 +01:00			`USE_PYTHON= autoplist concurrent distutils`

			`NO_ARCH= yes`

			`.include <bsd.port.mk>`