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pyproject.toml
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[build-system]
requires = ["setuptools>=61.0", "setuptools_scm[toml]>=6.2"]
[tool.setuptools]
packages = ["fgclustering"]
[tool.setuptools.dynamic]
readme = { file = "README.md" }
[tool.setuptools_scm]
write_to = "fgclustering/_version.py"
[project]
name = "fgclustering"
dynamic = ["version"]
authors = [
{ name = "Lisa Barros de Andrade e Sousa", email = "[email protected]" },
{ name = "Helena Pelin", email = "[email protected]" },
{ name = "Dominik Thalmeier" },
{ name = "Marie Piraud", email = "[email protected]" },
]
maintainers = [
{ name = "Lisa Barros de Andrade e Sousa", email = "[email protected]" },
{ name = "Helena Pelin", email = "[email protected]" },
]
description = "Forest-Guided Clustering - Explainability method for Random Forest models."
keywords = ["random forest", "xai", "explainable ai"]
readme = "README.md"
requires-python = ">=3.7"
classifiers = [
"Programming Language :: Python :: 3",
"License :: OSI Approved :: MIT License",
"Operating System :: OS Independent",
]
dependencies = [
"pandas",
"numpy",
"matplotlib",
"seaborn>=0.12",
"scikit-learn",
"kmedoids",
"scipy",
"tqdm",
"statsmodels>=0.13.5",
"numexpr>=2.8.4",
"numba",
"plotly",
"nbformat",
]
[project.optional-dependencies]
dev = ["pytest"]
[project.urls]
documentation = "https://forest-guided-clustering.readthedocs.io/en/latest/"
repository = "https://github.com/HelmholtzAI-Consultants-Munich/fg-clustering"