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pyproject.toml
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81 lines (75 loc) · 2.07 KB
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[project]
name = "xgboostlss"
version = "0.6.1"
description = "XGBoostLSS - An extension of XGBoost to probabilistic modelling"
readme = { file = "README.md", content-type = "text/markdown" }
authors = [
{ name = "Alexander März", email = "statmixedmlgit@gmail.com" }
]
license = { text = "Apache License 2.0" }
requires-python = ">=3.11"
classifiers = [
"Intended Audience :: Developers",
"Intended Audience :: Science/Research",
"License :: OSI Approved :: Apache Software License",
"Operating System :: MacOS",
"Operating System :: Microsoft :: Windows",
"Operating System :: POSIX",
"Operating System :: Unix",
"Programming Language :: Python",
"Programming Language :: Python :: 3 :: Only",
"Programming Language :: Python :: 3.11",
"Programming Language :: Python :: 3.12",
"Programming Language :: Python :: 3.13",
"Programming Language :: Python :: 3.14",
"Topic :: Scientific/Engineering",
"Topic :: Scientific/Engineering :: Artificial Intelligence",
"Topic :: Software Development",
]
# core dependencies of xgboostlss
# this set should be kept minimal!
dependencies = [
"xgboost>=2.0,<4.0",
"torch>=2.1,<2.10",
"pyro-ppl>=1.8,<1.10",
"numpy>=1.26.0,<2.4",
"pandas>=2.0,<2.3",
"scipy>=1.11,<1.17",
"tqdm>=4.66,<4.68",
"matplotlib>=3.8,<3.11",
"scikit-base",
]
[project.optional-dependencies]
all_extras = [
"optuna>=3.5.0,<4.4",
"optuna-integration",
"seaborn>=0.13.0,<0.14.0",
'shap>=0.50.0; python_version < "3.14"',
]
docs = [
"mkdocs",
"mkdocstrings[python]",
"mkdocs-jupyter"
]
notebooks = [
"scikit-learn>=1.4.0,<1.8.0",
"plotnine>=0.12.0,<0.16.0",
]
test = [
"flake8",
"pytest",
"pytest-coverage",
"pytest-timeout",
]
[project.urls]
Homepage = "https://github.com/StatMixedML/XGBoostLSS"
[tool.setuptools]
include-package-data = true
zip-safe = true
[tool.setuptools.packages.find]
exclude = ["docs", "tests*"]
[tool.setuptools.package-data]
xgboostlss = ["datasets/*.csv"]
[build-system]
requires = ["setuptools>=61", "wheel"]
build-backend = "setuptools.build_meta"