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pyproject.toml
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62 lines (56 loc) · 1.58 KB
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[build-system]
requires = ["setuptools>=78"]
build-backend = "setuptools.build_meta"
[project]
name = "treehfd"
version = "1.3.1"
authors = [
{name = "Clement Benard", email = "clement-l.benard@thalesgroup.com"}
]
description = "A python module to explain xgboost models with the Hoeffding functional decomposition."
requires-python = ">=3.11"
license = {text = "Apache-2.0"}
keywords=[
"machine learning",
"gradient boosted tree",
"explainability",
"Hoeffding functional decomposition",
"functional ANOVA decomposition"
]
dependencies=[
"numpy>=2.3",
"xgboost>=3.1",
"scipy>=1.16",
"scikit-learn>=1.7",
"pandas>=2.3",
"tqdm>=4.67"
]
classifiers=[
"Intended Audience :: Science/Research",
"License :: OSI Approved :: Apache Software License",
"Operating System :: MacOS",
"Operating System :: POSIX",
"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 :: Scientific/Engineering :: Mathematics"
]
[project.urls]
documentation = "https://treehfd.readthedocs.io/en/latest/"
repository = "https://github.com/ThalesGroup/treehfd"
[project.optional-dependencies]
examples = ["matplotlib"]
doc = ["sphinx", "sphinx-rtd-theme"]
dev = ["pytest", "ruff", "pyright[nodejs]", "coverage"]
[project.readme]
file="README.md"
content-type = "text/markdown"
[tool.setuptools]
platforms = [
"Linux",
"Mac OS-X",
"Unix"
]