pyproject.toml

[build-system]
build-backend = "setuptools.build_meta"
requires = [
    "setuptools",
]

[tool.setuptools]
packages = [
    "bayeso",
    "bayeso.bo",
    "bayeso.gp",
    "bayeso.tp",
    "bayeso.trees",
    "bayeso.wrappers",
    "bayeso.utils",
]

[project]
name = "bayeso"
version = "0.6.0"
authors = [
    {name = "Jungtaek Kim", email = "jungtaek.kim.mail@gmail.com"},
]
description = "Simple, but essential Bayesian optimization package"
readme = "README.md"
requires-python = ">=3.7"
dependencies = [
    "numpy",
    "scipy",
    "cma",
    "tqdm",
]
license = {text = "MIT"}
classifiers = [
    "Programming Language :: Python :: 3",
    "Intended Audience :: Science/Research",
    "License :: OSI Approved :: MIT License",
    "Operating System :: OS Independent",
    "Topic :: Scientific/Engineering",
    "Topic :: Scientific/Engineering :: Artificial Intelligence",
]

[project.urls]
Homepage = "https://bayeso.org"
Source = "https://github.com/jungtaekkim/bayeso"
Issues = "https://github.com/jungtaekkim/bayeso/issues"

[project.optional-dependencies]
dev = [
    "pytest",
    "pytest-benchmark",
    "pytest-timeout",
    "pytest-cov",
    "coveralls",
    "sphinx",
    "sphinx_rtd_theme",
    "jupyter",
    "jupytext",
    "pylint",
    "wheel",
    "build",
    "twine",
]

optional = [
    "scipydirect",
    "matplotlib",
    "bayeso-benchmarks",
]

examples = [
    "xgboost",
    "scikit-learn",
]