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# Copyright 2013-2024 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.package import *
class PyAxPlatform(PythonPackage):
"""Adaptive experimentation is the machine-learning guided process of
iteratively exploring a (possibly infinite) parameter space in order to identify
optimal configurations in a resource-efficient manner. Ax currently supports
Bayesian optimization and bandit optimization as exploration strategies. Bayesian
optimization in Ax is powered by BoTorch, a modern library for Bayesian
optimization research built on PyTorch."""
homepage = "https://github.com/facebook/Ax"
pypi = "ax-platform/ax-platform-0.3.1.tar.gz"
maintainers("meyersbs")
license("MIT")
version("0.3.1", sha256="0bad1d16155560fdd8644308d2771edf7fd977ad41fea15a7ecf3f224bc36517")
depends_on("py-setuptools@34.4:", type="build")
depends_on("py-setuptools-scm", type="build")
depends_on("py-botorch@0.8.3:", type=("build", "run"))
depends_on("python@3.8:", type=("build", "run"))
depends_on("py-jinja2", type=("build", "run"))
depends_on("py-pandas", type=("build", "run"))
depends_on("py-scipy", type=("build", "run"))
depends_on("py-scikit-learn", type=("build", "run"))
depends_on("py-ipywidgets", type=("build", "run"))
depends_on("py-typeguard@2.13.3", type=("build", "run"))
depends_on("py-plotly@5.12.0:", type=("build", "run"))
def setup_build_environment(self, env):
env.set("ALLOW_BOTORCH_LATEST", True)
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