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New package: py-gpyopt (#26232)

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Co-authored-by: Sid Pendelberry <sid@rit.edu>
Co-authored-by: Bernhard Kaindl <bernhardkaindl7@gmail.com>
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Jen Herting 2021-09-26 03:34:18 -04:00 committed by GitHub
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# Copyright 2013-2021 Lawrence Livermore National Security, LLC and other
# Spack Project Developers. See the top-level COPYRIGHT file for details.
#
# SPDX-License-Identifier: (Apache-2.0 OR MIT)
from spack import *
class PyGpyopt(PythonPackage):
""" Performs global optimization with different acquisition functions. Among
other functionalities, it is possible to use GPyOpt to optimize physical
experiments (sequentially or in batches) and tune the parameters of Machine
Learning algorithms. It is able to handle large data sets via sparse
Gaussian process models."""
homepage = "http://sheffieldml.github.io/GPyOpt/"
pypi = "GPyOpt/GPyOpt-1.2.6.tar.gz"
version('1.2.6', sha256='e714daa035bb529a6db23c53665a762a4ab3456b9329c19ad3b03983f94c9b2a')
depends_on('py-setuptools', type='build')
depends_on('py-numpy@1.7:', type=('build', 'run'))
depends_on('py-scipy@0.16:', type=('build', 'run'))
depends_on('py-gpy@1.8:', type=('build', 'run'))
depends_on('py-matplotlib@1.3:', type=('test'))