35 lines
1.4 KiB
Python
35 lines
1.4 KiB
Python
# Copyright 2013-2024 Lawrence Livermore National Security, LLC and other
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# Spack Project Developers. See the top-level COPYRIGHT file for details.
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#
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# SPDX-License-Identifier: (Apache-2.0 OR MIT)
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from spack.package import *
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class PySmac(PythonPackage):
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"""SMAC is a tool for algorithm configuration to optimize
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the parameters of arbitrary algorithms, including
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hyperparameter optimization of Machine Learning
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algorithms."""
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homepage = "https://automl.github.io/SMAC3/master/"
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pypi = "smac/smac-1.1.1.tar.gz"
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license("BSD-3-Clause")
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version("1.1.1", sha256="7b8c14c53384b32feb357b9f918a9b023cb01cbda2033e69125dee69ec0bd5b1")
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depends_on("python@3.7:", type=("build", "run"))
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depends_on("py-setuptools", type="build")
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depends_on("py-numpy@1.7.1:", type=("build", "run"))
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depends_on("py-scipy@1.7.0:", type=("build", "run"))
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depends_on("py-psutil", type=("build", "run"))
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depends_on("py-pynisher@0.4.1:", type=("build", "run"))
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depends_on("py-configspace@0.4.14:0.4", type=("build", "run"))
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depends_on("py-joblib", type=("build", "run"))
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depends_on("py-scikit-learn@0.22.0:", type=("build", "run"))
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depends_on("py-pyrfr@0.8.0:", type=("build", "run"))
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depends_on("py-dask", type=("build", "run"))
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depends_on("py-distributed", type=("build", "run"))
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depends_on("py-emcee@3.0.0:", type=("build", "run"))
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